{"schemaVersion":"1.4","name":"Asset Tracking & Equipment Management Industry Statistics","description":"An evidence registry covering equipment theft, tool loss, downtime costs, maintenance benchmarks, compliance and asset tracking ROI. Verified and source-reviewed entries are citable; unverified records are non-syndicatable claim checks.","url":"https://www.maptrack.com/statistics","dataUrl":"https://www.maptrack.com/statistics/data.json","csvUrl":"https://www.maptrack.com/statistics/data.csv","distribution":[{"name":"Statistics evidence registry (JSON)","encodingFormat":"application/json","contentUrl":"https://www.maptrack.com/statistics/data.json"},{"name":"Statistics evidence registry (CSV)","encodingFormat":"text/csv","contentUrl":"https://www.maptrack.com/statistics/data.csv"}],"publisher":{"name":"MapTrack","url":"https://www.maptrack.com"},"licence":"https://creativecommons.org/licenses/by/4.0/","license":"https://creativecommons.org/licenses/by/4.0/","licenceScope":"CC BY 4.0 applies to MapTrack's compilation and original descriptions. Third-party figures and source materials remain subject to their publishers' terms.","isAccessibleForFree":true,"lastModified":"2026-09-07","dateModified":"2026-09-07","temporalCoverage":"2000/2026","methodology":"Curated bibliography of third-party published material. Verified and source-reviewed entries are citable; unverified entries remain visible only as explicit claim checks and are not offered for citation or syndication. Each entry records the source name and URL so readers can check the original context. This is not first-party survey, customer or telemetry data.","citation":"MapTrack, \"Asset Tracking & Equipment Management Industry Statistics\", https://www.maptrack.com/statistics (updated 2026-09-07).","count":65,"citableCount":61,"claimCheckCount":4,"categories":[{"id":"theft-loss","label":"Theft & Loss","description":"Statistics on equipment theft, tool loss, and asset shrinkage across industries.","count":16},{"id":"downtime-cost","label":"Downtime Costs","description":"The financial impact of unplanned equipment downtime and asset unavailability.","count":19},{"id":"maintenance","label":"Maintenance","description":"Benchmarks for preventive maintenance, CMMS adoption, and maintenance spending.","count":15},{"id":"compliance","label":"Compliance & Safety","description":"Statistics on workplace safety, regulatory compliance, and inspection outcomes.","count":6},{"id":"adoption-trends","label":"Adoption & Trends","description":"Market size, growth rates, and technology adoption in asset tracking and management.","count":5},{"id":"roi","label":"ROI & Savings","description":"Documented returns from implementing asset tracking and maintenance management software.","count":4}],"retiredEmbeds":[{"id":"inspection-failure-rate","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/inspection-failure-rate","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"The cited publication did not contain the claimed inspection-failure rate."},{"id":"digital-inspection-reduction","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/digital-inspection-reduction","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"The cited publication did not contain the claimed inspection-time reduction."},{"id":"compliance-digital-accuracy","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/compliance-digital-accuracy","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"The cited publication did not contain the claimed data-entry error reduction."},{"id":"theft-no-id","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-no-id","replacementUrl":"https://www.maptrack.com/statistics#asset-register-late-registration","reason":"The cited report did not contain the claimed identifying-number percentage."},{"id":"tool-loss-percentage","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/tool-loss-percentage","replacementUrl":"https://www.maptrack.com/tools/tool-loss-calculator","reason":"No primary source was found for the claimed annual tool-loss percentage."},{"id":"small-tool-loss-cost","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/small-tool-loss-cost","replacementUrl":"https://www.maptrack.com/tools/tool-loss-calculator","reason":"No primary source was found for the claimed annual replacement cost."},{"id":"insurance-discount-gps","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/insurance-discount-gps","replacementUrl":"https://www.maptrack.com/statistics/asset-tracking-roi","reason":"No primary insurer or policy evidence supported a universal GPS discount percentage."},{"id":"downtime-hours-annual","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/downtime-hours-annual","replacementUrl":"https://www.maptrack.com/statistics/equipment-downtime-cost","reason":"The cited Deloitte page did not support the claimed 800-hour annual average."},{"id":"idle-equipment-waste","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/idle-equipment-waste","replacementUrl":"https://www.maptrack.com/statistics/equipment-downtime-cost","reason":"The cited McKinsey article did not support the claimed 40% idle-fleet rate."},{"id":"cmms-adoption-rate","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/cmms-adoption-rate","replacementUrl":"https://www.maptrack.com/statistics/maintenance-kpi-benchmarks","reason":"A publisher homepage could not substantiate the claimed CMMS adoption range."},{"id":"pm-compliance-target","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/pm-compliance-target","replacementUrl":"https://www.maptrack.com/statistics/maintenance-kpi-benchmarks","reason":"A publisher homepage could not substantiate the claimed compliance benchmark."},{"id":"maintenance-backlog-weeks","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-backlog-weeks","replacementUrl":"https://www.maptrack.com/statistics/maintenance-kpi-benchmarks","reason":"The cited association homepage did not substantiate the claimed backlog range."},{"id":"wrench-time","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/wrench-time","replacementUrl":"https://www.maptrack.com/statistics/maintenance-kpi-benchmarks","reason":"This duplicated the more precisely sourced wrench-time planning statistic."},{"id":"safety-roi","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/safety-roi","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"The cited OSHA page did not support a universal four-to-six-times return."},{"id":"market-size-asset-tracking","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/market-size-asset-tracking","replacementUrl":"https://www.maptrack.com/statistics","reason":"A market-research homepage did not substantiate the dated forecast and scope."},{"id":"iot-construction-growth","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/iot-construction-growth","replacementUrl":"https://www.maptrack.com/statistics","reason":"A market-research homepage did not substantiate the claimed growth rate."},{"id":"cmms-market-size","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/cmms-market-size","replacementUrl":"https://www.maptrack.com/statistics","reason":"A market-research homepage did not substantiate the claimed forecast."},{"id":"mobile-maintenance-adoption","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/mobile-maintenance-adoption","replacementUrl":"https://www.maptrack.com/statistics","reason":"The cited publisher homepage did not substantiate the claimed adoption trend."},{"id":"asset-life-extension","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/asset-life-extension","replacementUrl":"https://www.maptrack.com/statistics/asset-tracking-roi","reason":"The cited association homepage did not substantiate the claimed lifespan range."},{"id":"roi-labour-productivity","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/roi-labour-productivity","replacementUrl":"https://www.maptrack.com/statistics/asset-tracking-roi","reason":"The cited McKinsey article did not support the claimed 28% software outcome."},{"id":"theft-uk-annual","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-uk-annual","replacementUrl":"https://www.maptrack.com/statistics/construction-equipment-theft","reason":"The old insurer leaflet did not establish a current annual UK estimate."},{"id":"theft-insurance-claim-time","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-insurance-claim-time","replacementUrl":"https://www.maptrack.com/statistics/construction-equipment-theft","reason":"The cited statistics index did not support the claimed resolution-time range."},{"id":"fleet-utilisation-benchmark","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-utilisation-benchmark","replacementUrl":"https://www.maptrack.com/statistics/fleet-management","reason":"The cited publisher index did not substantiate the utilisation ranges."},{"id":"fleet-maintenance-cost-km","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-maintenance-cost-km","replacementUrl":"https://www.maptrack.com/statistics/fleet-management","reason":"The cited trucking research did not support the kilometre range or causal comparison."},{"id":"fleet-telematics-behaviour","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-telematics-behaviour","replacementUrl":"https://www.maptrack.com/statistics/fleet-management","reason":"The cited research index did not substantiate the bundled behaviour and crash ranges."},{"id":"fleet-compliance-fines-au","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-compliance-fines-au","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"The claimed maximum could not be tied to a specific current offence provision."},{"id":"fleet-tco-annual","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-tco-annual","replacementUrl":"https://www.maptrack.com/statistics/fleet-management","reason":"The cited trucking research did not support the annual range or underestimation claim."},{"id":"fleet-fuel-fraud","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/fleet-fuel-fraud","replacementUrl":"https://www.maptrack.com/statistics/fleet-management","reason":"The cited publisher index did not substantiate the claimed misuse range."},{"id":"downtime-mining-hourly","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/downtime-mining-hourly","replacementUrl":"https://www.maptrack.com/statistics/equipment-downtime-cost","reason":"The cited McKinsey article did not support the claimed haul-truck hourly range."},{"id":"downtime-sme-daily","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/downtime-sme-daily","replacementUrl":"https://www.maptrack.com/statistics/equipment-downtime-cost","reason":"The cited small-business report did not support the downtime cost and impact claims."},{"id":"compliance-au-fatalities","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/compliance-au-fatalities","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"A newer Safe Work Australia release superseded this duplicate entry."},{"id":"adoption-mobile-cmms","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/adoption-mobile-cmms","replacementUrl":"https://www.maptrack.com/statistics","reason":"The cited article did not substantiate the claimed survey trend."},{"id":"adoption-apac-tracking-growth","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/adoption-apac-tracking-growth","replacementUrl":"https://www.maptrack.com/statistics","reason":"The cited forecast page did not substantiate the regional comparison and drivers."},{"id":"downtime-manufacturers-50b","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/downtime-manufacturers-50b","replacementUrl":"https://www.maptrack.com/statistics/equipment-downtime-cost","reason":"Deloitte relayed the number from unsourced sponsored content rather than measuring it."},{"id":"maintenance-preventive-savings","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-preventive-savings","replacementUrl":"https://www.maptrack.com/statistics/maintenance-kpi-benchmarks","reason":"This duplicated the reviewed DOE preventive-maintenance statistic."},{"id":"compliance-au-injury-cost","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/compliance-au-injury-cost","replacementUrl":"https://www.maptrack.com/statistics/workplace-safety-compliance","reason":"This duplicated the reviewed Safe Work Australia economic-loss statistic."},{"id":"pe-spreadsheet-cmms-2018","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/pe-spreadsheet-cmms-2018","replacementUrl":"https://www.maptrack.com/statistics","reason":"A newer reviewed Plant Engineering study superseded this duplicate entry."},{"id":"theft-au-nsw-farm-victimisation","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-au-nsw-farm-victimisation","replacementUrl":"https://www.maptrack.com/statistics/construction-equipment-theft","reason":"The original survey, sample and method could not be recovered from the secondary coverage."},{"id":"theft-uk-unreported-share","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-uk-unreported-share","replacementUrl":"https://www.maptrack.com/statistics/construction-equipment-theft","reason":"The original insurer release, sample and method could not be recovered from the secondary coverage."},{"id":"theft-nsw-regional-rate-vs-sydney","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-regional-rate-vs-sydney","replacementUrl":"https://www.maptrack.com/research/australian-equipment-theft-index-2026","reason":"The derived figure was withdrawn until its source extract, query and calculation can be reproduced independently."},{"id":"theft-nsw-worksite-breakin-january-peak","status":"retired","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-worksite-breakin-january-peak","replacementUrl":"https://www.maptrack.com/research/australian-equipment-theft-index-2026","reason":"The derived figure was withdrawn until its source extract, observation window and calculation can be reproduced independently."}],"statistics":[{"id":"maintenance-deferred-backlog-us-federal","stat":"US$22 billion (83%)","headline":"Deferred maintenance backlogs grew 83% in five years","description":"Deferred maintenance and repair backlogs at four US federal agencies grew by about US$22 billion, or 83%, across the five years to FY2022.","context":"GAO reviewed four selected agencies, so the figure is not a whole-of-government total. Deferred maintenance is work identified and then not funded in the year it fell due: the backlog compounds because deferral raises the eventual cost of the same repair.","category":"maintenance","year":2023,"tags":["maintenance","backlog","cost"],"source":{"name":"US Government Accountability Office, GAO-24-105485, Deferred Maintenance and Repair","url":"https://www.gao.gov/products/gao-24-105485","year":2023,"archiveUrl":"https://web.archive.org/web/20260811185717/https://www.gao.gov/products/gao-24-105485","checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#maintenance-deferred-backlog-us-federal","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-deferred-backlog-us-federal","attribution":"US Government Accountability Office, GAO-24-105485, Deferred Maintenance and Repair (2023), \"Deferred maintenance backlogs grew 83% in five years\". Compiled by MapTrack at https://www.maptrack.com/statistics#maintenance-deferred-backlog-us-federal"},{"id":"maintenance-deferred-backlog-uk","stat":"£49 billion","headline":"UK public facilities carry a £49bn maintenance backlog","description":"The UK government has accumulated at least £49 billion of deferred maintenance backlog across public service facilities.","context":"National Audit Office figure, January 2025, covering schools, hospitals, courts, prisons and defence estates. Stated as a floor rather than a point estimate: the NAO notes government does not hold complete condition data for parts of the estate.","category":"maintenance","year":2025,"tags":["maintenance","backlog","cost","uk"],"source":{"name":"UK National Audit Office, Maintaining public service facilities","url":"https://www.nao.org.uk/reports/maintaining-public-service-facilities/","year":2025,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#maintenance-deferred-backlog-uk","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-deferred-backlog-uk","attribution":"UK National Audit Office, Maintaining public service facilities (2025), \"UK public facilities carry a £49bn maintenance backlog\". Compiled by MapTrack at https://www.maptrack.com/statistics#maintenance-deferred-backlog-uk"},{"id":"maintenance-facility-cost-per-sqft-au","stat":"US$5.19 per square foot","headline":"Australian facility maintenance costs run double Asia","description":"An IFMA 2022 association benchmark reported US$5.19 per square foot for Australia and Singapore combined, against US$2.50 across its Asia dataset.","context":"IFMA operations and maintenance benchmarking, covering external and interior maintenance, roads and grounds, central systems and process treatment. Reported in US dollars per square foot for comparability across markets.","category":"maintenance","year":2022,"tags":["maintenance","benchmark","cost","australia"],"source":{"name":"International Facility Management Association, Asia Operations and Maintenance Benchmarking Report","url":"https://www.ifma.org/news/whats-new-at-ifma-new/ifma-releases-first-ever-asia-focused-operations-maintenance-benchmarking-report/","year":2022,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#maintenance-facility-cost-per-sqft-au","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-facility-cost-per-sqft-au","attribution":"International Facility Management Association, Asia Operations and Maintenance Benchmarking Report (2022), \"Australian facility maintenance costs run double Asia\". Compiled by MapTrack at https://www.maptrack.com/statistics#maintenance-facility-cost-per-sqft-au"},{"id":"roi-telematics-activation-saving-gsa","stat":"US$1.46 million","headline":"Activating existing telematics saved US$1.46m in fit-out","description":"The US General Services Administration avoided about US$1.46 million in installation costs by switching on factory-fitted telematics already present in its leased fleet, rather than retrofitting devices.","context":"GSA Fleet operates one of the largest civilian vehicle fleets in the world. The saving is avoided installation cost only, and does not count fuel, utilisation or maintenance effects. It is a rare telematics ROI figure published by the buyer rather than a vendor.","category":"roi","year":2022,"tags":["roi","fleet","tracking","savings"],"source":{"name":"US General Services Administration","url":"https://www.gsa.gov/about-gsa/newsroom/news-releases/gsa-fleet-activates-telematics-solutions-saving-15m-06082022","year":2022,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#roi-telematics-activation-saving-gsa","embedUrl":"https://www.maptrack.com/embed/stat/roi-telematics-activation-saving-gsa","attribution":"US General Services Administration (2022), \"Activating existing telematics saved US$1.46m in fit-out\". Compiled by MapTrack at https://www.maptrack.com/statistics#roi-telematics-activation-saving-gsa"},{"id":"downtime-truck-marginal-cost-hour","stat":"US$90.78 per hour","headline":"Marginal cost of running a truck per hour","description":"ATRI estimated US motor carriers' average marginal operating cost at US$90.78 per hour in 2022. It is a carrier operating-cost measure, not a measured standing-idle cost.","context":"ATRI collects operational cost data directly from motor carriers each year. Marginal cost covers fuel, repair and maintenance, truck and trailer payments, insurance, permits, tolls and driver pay and benefits. It excludes fixed overhead, so it is the cost that stops accruing value when the vehicle is not moving.","category":"downtime-cost","year":2023,"tags":["downtime","fleet","cost","utilisation"],"source":{"name":"American Transportation Research Institute, Analysis of the Operational Costs of Trucking: 2023 Update","url":"https://truckingresearch.org/wp-content/uploads/2023/06/ATRI-Operational-Cost-of-Trucking-06-2023.pdf","year":2023,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-truck-marginal-cost-hour","embedUrl":"https://www.maptrack.com/embed/stat/downtime-truck-marginal-cost-hour","attribution":"American Transportation Research Institute, Analysis of the Operational Costs of Trucking: 2023 Update (2023), \"Marginal cost of running a truck per hour\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-truck-marginal-cost-hour"},{"id":"downtime-truck-dwell-time","stat":"1 hour 46 minutes","headline":"Average truck dwell time per stop","description":"US trucks spent an average of 1 hour 46 minutes waiting at each shipper or receiver stop in 2022 before they could load or unload.","context":"ATRI industry average across carriers surveyed for its annual operational cost study. Dwell is measured waiting time at a shipper or receiver; the report does not establish the revenue effect for an individual carrier.","category":"downtime-cost","year":2023,"tags":["downtime","fleet","utilisation"],"source":{"name":"American Transportation Research Institute, Analysis of the Operational Costs of Trucking: 2023 Update","url":"https://truckingresearch.org/wp-content/uploads/2023/06/ATRI-Operational-Cost-of-Trucking-06-2023.pdf","year":2023,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-truck-dwell-time","embedUrl":"https://www.maptrack.com/embed/stat/downtime-truck-dwell-time","attribution":"American Transportation Research Institute, Analysis of the Operational Costs of Trucking: 2023 Update (2023), \"Average truck dwell time per stop\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-truck-dwell-time"},{"id":"trucking-operating-cost-per-mile","stat":"US$2.336 per mile","headline":"Industry-average cost of operating a truck","description":"The industry-average cost to operate a truck reached US$2.336 per mile in 2025, up 3.4% on the year before and the highest per-mile cost in the history of ATRI’s operational cost survey.","context":"ATRI Analysis of the Operational Costs of Trucking, 2026 Update (2025 is the most recent surveyed year). Excluding fuel, costs rose 4.2% to US$1.854 per mile. ATRI collects this data directly from motor carriers each year.","category":"downtime-cost","year":2026,"tags":["fleet","trucking","cost","benchmark"],"source":{"name":"American Transportation Research Institute","url":"https://truckingresearch.org/2026/07/new-atri-report-details-accelerating-costs-and-low-profitability-despite-cuts/","year":2026,"archiveUrl":"https://web.archive.org/web/20260810222542/https://truckingresearch.org/2026/07/new-atri-report-details-accelerating-costs-and-low-profitability-despite-cuts/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#trucking-operating-cost-per-mile","embedUrl":"https://www.maptrack.com/embed/stat/trucking-operating-cost-per-mile","attribution":"American Transportation Research Institute (2026), \"Industry-average cost of operating a truck\". Compiled by MapTrack at https://www.maptrack.com/statistics#trucking-operating-cost-per-mile"},{"id":"truck-repair-maintenance-inflation","stat":"+8.6% in one year","headline":"Annual rise in truck repair and maintenance costs","description":"ATRI's 2026 survey of US motor carriers reported repair and maintenance costs rose 8.6% in 2025. The survey does not establish a single cause for the increase.","context":"ATRI Analysis of the Operational Costs of Trucking, 2026 Update. Repair and maintenance sat alongside tolls (+13.2%), driver benefits (+6.6%) and tyres (+6.4%) as the fastest-growing line items in 2025; only fuel and driver pay rose at sub-inflationary rates.","category":"maintenance","year":2026,"tags":["maintenance","fleet","trucking","cost"],"source":{"name":"American Transportation Research Institute","url":"https://truckingresearch.org/2026/07/new-atri-report-details-accelerating-costs-and-low-profitability-despite-cuts/","year":2026,"archiveUrl":"https://web.archive.org/web/20260810222542/https://truckingresearch.org/2026/07/new-atri-report-details-accelerating-costs-and-low-profitability-despite-cuts/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#truck-repair-maintenance-inflation","embedUrl":"https://www.maptrack.com/embed/stat/truck-repair-maintenance-inflation","attribution":"American Transportation Research Institute (2026), \"Annual rise in truck repair and maintenance costs\". Compiled by MapTrack at https://www.maptrack.com/statistics#truck-repair-maintenance-inflation"},{"id":"theft-uk-tool-value-2024","stat":"£40 million","headline":"UK tool theft cost tradespeople £40m in 2024","description":"Direct Line estimated £40 million of tools were stolen in 2024 by multiplying a £1,565.02 survey average by 25,525 police-reported cases with usable data from 29 of 45 UK forces.","context":"Direct Line for Business compiled police-reported tool theft cases across UK forces. The count covers reported cases and usable data from 29 of 45 forces, so it is an insurer compilation rather than an official national measurement.","category":"theft-loss","year":2025,"tags":["theft","tools","cost","uk"],"source":{"name":"Direct Line for Business","url":"https://www.directlineforbusiness.co.uk/tradesperson-insurance/tradesperson-knowledge-centre/news/tool-theft-direct-line-annual-report","year":2025,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-uk-tool-value-2024","embedUrl":"https://www.maptrack.com/embed/stat/theft-uk-tool-value-2024","attribution":"Direct Line for Business (2025), \"UK tool theft cost tradespeople £40m in 2024\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-uk-tool-value-2024"},{"id":"theft-uk-tradesperson-share","stat":"66%","headline":"Two thirds of UK tradespeople have had tools stolen","description":"Two thirds of UK tradespeople have been victims of tool theft, losing an average of £1,119 of tools per incident.","context":"Censuswide surveyed 500 UK tradespeople for insurer Markel between 23 and 26 June 2025. Self-reported lifetime victimisation, not an annual rate, and the £1,119 average is per incident rather than per victim.","category":"theft-loss","year":2025,"tags":["theft","tools","uk"],"source":{"name":"Markel UK, Tools Down: The impact of tool theft on UK trades","url":"https://www.markeluk.com/knowledge-centre/trades-tool-theft-in-uk","year":2025,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-uk-tradesperson-share","embedUrl":"https://www.maptrack.com/embed/stat/theft-uk-tradesperson-share","attribution":"Markel UK, Tools Down: The impact of tool theft on UK trades (2025), \"Two thirds of UK tradespeople have had tools stolen\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-uk-tradesperson-share"},{"id":"theft-uk-rural-crime-annual","stat":"£41.5 million","headline":"UK rural crime cost £41.5m in 2025","description":"Rural crime across the UK, spanning farm machinery, vehicle and livestock theft, cost an estimated £41.5 million in 2025, down 6% on 2024.","context":"NFU Mutual estimates from its own claims data, which covers roughly three quarters of the UK farming market. Claims-based, so it excludes uninsured losses and anything below policy excess.","category":"theft-loss","year":2026,"tags":["theft","equipment","cost","uk"],"source":{"name":"NFU Mutual, Rural Crime Report 2026","url":"https://www.nfumutual.co.uk/farming/rural-crime/","year":2026,"checkedOn":"2026-08-18","reviewedOn":"2026-08-18","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-uk-rural-crime-annual","embedUrl":"https://www.maptrack.com/embed/stat/theft-uk-rural-crime-annual","attribution":"NFU Mutual, Rural Crime Report 2026 (2026), \"UK rural crime cost £41.5m in 2025\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-uk-rural-crime-annual"},{"id":"theft-ner-annual","stat":"US$300 million–$1 billion","headline":"Annual construction equipment theft in the US","description":"The joint NER and NICB 2016 report estimated US construction-equipment machine theft at US$300 million to US$1 billion a year. It excludes tools, materials and indirect costs and is not a current annual total.","context":"The estimate covers machines only. NER excludes stolen tools and building materials, damage caused during a theft, and business-interruption losses such as rentals, project-delay penalties and wasted crew time, so the amount a contractor actually carries is higher.","category":"theft-loss","year":2016,"tags":["theft","construction","equipment","US"],"source":{"name":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.16)","url":"https://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","year":2016,"archiveUrl":"https://web.archive.org/web/20260301082632/http://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","checkedOn":"2026-08-10","reviewedOn":"2026-08-10","verificationStatus":"source-reviewed","vintageNote":"The 2016 report is the most recent public NER/NICB edition we found."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-ner-annual","embedUrl":"https://www.maptrack.com/embed/stat/theft-ner-annual","attribution":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.16) (2016), \"Annual construction equipment theft in the US\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-ner-annual"},{"id":"theft-recovery-rate","stat":"21%","headline":"Recovery rate for stolen construction equipment","description":"The joint NER and NICB 2016 report recorded 2,442 recoveries from 11,574 construction-equipment theft reports in the NCIC active file, or 21% for that year. It is not a lifetime recovery rate.","context":"The NICB logged 11,574 reports of stolen machines in 2016 against 2,442 recoveries in the NCIC active theft file. The rate understates the problem: it counts neither machines that law enforcement recovered but never marked as recovered, nor thefts that were never reported.","category":"theft-loss","year":2016,"tags":["theft","recovery","construction"],"source":{"name":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.17)","url":"https://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","year":2016,"archiveUrl":"https://web.archive.org/web/20260301082632/http://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","checkedOn":"2026-08-10","reviewedOn":"2026-08-10","verificationStatus":"source-reviewed","vintageNote":"The 2016 report is the most recent public NER/NICB edition we found."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-recovery-rate","embedUrl":"https://www.maptrack.com/embed/stat/theft-recovery-rate","attribution":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.17) (2016), \"Recovery rate for stolen construction equipment\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-recovery-rate"},{"id":"downtime-50-billion-claim-check","stat":"Misattributed","headline":"The $50 billion unplanned downtime figure is not a Deloitte measurement","description":"The most-quoted downtime figure in industrial maintenance is credited to Deloitte, but Deloitte relayed it from a WSJ Custom Content page that cites no survey or method.","context":"The origin is IndustryWeek in collaboration with Emerson. Deloitte Insights, Industry 4.0 and predictive technologies for asset maintenance (9 May 2017), carries the sentence at endnote 2, accessed 7 March 2017. That endnote points to a page on the WSJ partner network labelled PAID PROGRAM and \"created by Custom Content from WSJ, a unit of The Wall Street Journal Advertising Department\", produced by IndustryWeek in collaboration with Emerson, which sells reliability and automation services. The page asserts the figure and cites nothing for it. Quote it as a vendor estimate relayed by Deloitte in 2017, not as Deloitte research, and not as a current number.","category":"downtime-cost","year":2017,"tags":["downtime","manufacturing","claim-check","provenance"],"source":{"name":"IndustryWeek in collaboration with Emerson, How manufacturers can achieve Top Quartile performance, WSJ Custom Content","url":"https://partners.wsj.com/emerson/unlocking-performance/how-manufacturers-can-achieve-top-quartile-performance/","year":2017,"archiveUrl":"https://web.archive.org/web/20260827105915/https://partners.wsj.com/emerson/unlocking-performance/how-manufacturers-can-achieve-top-quartile-performance/","checkedOn":"2026-09-05","reviewedOn":"2026-09-05","verificationStatus":"unverified","vintageNote":"The origin page carries no publication date. Deloitte recorded accessing it on 7 March 2017, which is the earliest date the figure can be placed."},"publicationStatus":"claim-check-only","syndicationAllowed":false,"reviewUrl":"https://www.maptrack.com/statistics#downtime-50-billion-claim-check","citationStatus":"withheld-pending-primary-verification"},{"id":"downtime-42-percent-equipment-failure-claim-check","stat":"Same unsourced origin","headline":"The 42% of downtime caused by equipment failure claim shares that origin","description":"The companion figure, that equipment failure causes 42% of unplanned downtime, appears in the same sentence pair on the same WSJ Custom Content page, with the same absence of any survey, sample or method.","context":"Both numbers travel together through vendor blogs and AI answers, and both inherit the same provenance problem. Our review found no primary measurement behind either. If you have found a study that measured the 42% split, contact us and we will verify and cite it.","category":"downtime-cost","year":2017,"tags":["downtime","maintenance","claim-check","provenance"],"source":{"name":"IndustryWeek in collaboration with Emerson, How manufacturers can achieve Top Quartile performance, WSJ Custom Content","url":"https://partners.wsj.com/emerson/unlocking-performance/how-manufacturers-can-achieve-top-quartile-performance/","year":2017,"archiveUrl":"https://web.archive.org/web/20260827105915/https://partners.wsj.com/emerson/unlocking-performance/how-manufacturers-can-achieve-top-quartile-performance/","checkedOn":"2026-09-05","reviewedOn":"2026-09-05","verificationStatus":"unverified","vintageNote":"The origin page carries no publication date; 2017 is the earliest date the figure can be placed, from Deloitte recording access on 7 March 2017."},"publicationStatus":"claim-check-only","syndicationAllowed":false,"reviewUrl":"https://www.maptrack.com/statistics#downtime-42-percent-equipment-failure-claim-check","citationStatus":"withheld-pending-primary-verification"},{"id":"theft-delayed-projects-claim-check","stat":"No source found","headline":"The viral 1 in 3 projects delayed by theft claim could not be verified","description":"Our source review found no published evidence that 1 in 3 construction projects are delayed by theft or missing equipment.","context":"The nearest verified data, the CIOB crime survey, found that 21% of UK professionals saw site theft weekly, but project delays were never quantified. The claim circulates uncited in vendor blogs and AI answers, often credited to a 2016 CIOB survey. The report is actually from 2009 - the 2016 in its file path is a website upload date.","category":"theft-loss","year":2009,"tags":["theft","construction","claim-check","delays"],"source":{"name":"Chartered Institute of Building, Crime in the Construction Industry (2009)","url":"https://web.archive.org/web/20200929003603/https://policy.ciob.org/wp-content/uploads/2016/02/Crime-in-the-Construction-Industry.pdf","year":2009,"checkedOn":"2026-08-15","reviewedOn":"2026-08-15","verificationStatus":"unverified","vintageNote":"The publisher URL was unavailable when checked on 15 August 2026; the archived copy preserves the 2009 report."},"publicationStatus":"claim-check-only","syndicationAllowed":false,"reviewUrl":"https://www.maptrack.com/statistics#theft-delayed-projects-claim-check","citationStatus":"withheld-pending-primary-verification"},{"id":"theft-backhoe-top","stat":"70% of loader thefts","headline":"Skid steers lead thefts within the loader category","description":"Within loader thefts recorded by NER and NICB, skid steers account for 70%, backhoes 22% and wheel loaders 8%.","context":"Scope matters: loaders represent 18% of all 11,574 theft reports, while mowers and riding or garden tractors lead the full equipment table at 41%. NER groups front-end, tracked, wheeled, skid steer and backhoe machines in one loader category. The raw counts of 409 skid steers and 182 backhoes appear in a separate recovery table and must not be described as theft counts.","category":"theft-loss","year":2016,"tags":["theft","skid-steer","backhoe","heavy-equipment"],"source":{"name":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.9)","url":"https://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","year":2016,"archiveUrl":"https://web.archive.org/web/20260301082632/http://www.ner.net/wp-content/uploads/2017/10/Annual-Theft-Report-2016.pdf","checkedOn":"2026-09-05","reviewedOn":"2026-09-05","verificationStatus":"verified","vintageNote":"The 2016 report is the most recent public NER/NICB edition we found; NER appears to have stopped publishing after it."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-backhoe-top","embedUrl":"https://www.maptrack.com/embed/stat/theft-backhoe-top","attribution":"National Equipment Register & National Insurance Crime Bureau, 2016 Equipment Theft Report (p.9) (2016), \"Skid steers lead thefts within the loader category\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-backhoe-top"},{"id":"asset-register-late-registration","stat":"71.6%","headline":"Assets logged more than 30 days after they were received","description":"A 2006 GAO audit found 71.6% of CSC-purchased FBI Trilogy IT items recorded in PMA were entered more than 30 days after receipt; CSC purchases represented about 52% of Trilogy assets.","category":"theft-loss","year":2006,"tags":["asset-register","accuracy","audit","finance"],"source":{"name":"US Government Accountability Office, GAO-06-306","url":"https://www.gao.gov/assets/a249336.html","year":2006,"archiveUrl":"https://web.archive.org/web/20250220060432/https://www.gao.gov/assets/a249336.html","checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#asset-register-late-registration","embedUrl":"https://www.maptrack.com/embed/stat/asset-register-late-registration","attribution":"US Government Accountability Office, GAO-06-306 (2006), \"Assets logged more than 30 days after they were received\". Compiled by MapTrack at https://www.maptrack.com/statistics#asset-register-late-registration"},{"id":"downtime-cost-manufacturing","stat":"US$36,000–$2.3m per hour","headline":"Cost of an hour of unplanned downtime in industry","description":"A Siemens and Senseye 2024 vendor study of mainly large manufacturers estimated an unproductive hour at about US$36,000 in fast-moving consumer goods and US$2.3 million in a large automotive plant.","context":"Scope: Siemens and Senseye surveyed mainly large manufacturers and major heavy-industry producers worldwide across automotive, heavy industry, FMCG, oil and gas and pharmaceuticals. The US$36,000 FMCG floor and US$2.3 million automotive ceiling appear on report pages 2-4; the report separately says SME losses can reach US$150,000 an hour at the top end on page 7. Sector sample mix varied between years, so the combined trend is indicative. Across the sectors surveyed, unplanned downtime costs an average large plant US$253 million a year.","category":"downtime-cost","year":2024,"tags":["downtime","manufacturing","cost"],"source":{"name":"Siemens / Senseye, The True Cost of Downtime 2024","url":"https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","year":2024,"archiveUrl":"https://web.archive.org/web/20260811073000id_/https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-cost-manufacturing","embedUrl":"https://www.maptrack.com/embed/stat/downtime-cost-manufacturing","attribution":"Siemens / Senseye, The True Cost of Downtime 2024 (2024), \"Cost of an hour of unplanned downtime in industry\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-cost-manufacturing"},{"id":"downtime-construction-daily","stat":"No primary source found","headline":"The $2,000–$10,000 construction downtime range is unverified","description":"Our review found no Construction Industry Institute publication supporting this widely repeated daily cost range.","context":"The range circulates widely credited to the Construction Industry Institute, but on 2026-09-05 we could not find it in any CII publication: the knowledge base returned no equipment-downtime title, and a site-restricted search surfaced only safety, productivity, rework and zero-injury-economics research. Searching the open web for the figure returns our own page. Do not use the range as a measured finding unless a primary document is produced.","category":"downtime-cost","year":2024,"tags":["downtime","construction","daily-cost"],"source":{"name":"Widely attributed to the Construction Industry Institute; attribution not verified","url":"https://www.construction-institute.org/","year":2024,"checkedOn":"2026-09-05","reviewedOn":"2026-09-05","verificationStatus":"unverified","vintageNote":"No underlying study or date has been located, so the 2024 year is the vintage of the secondary sources repeating it rather than of any measurement."},"publicationStatus":"claim-check-only","syndicationAllowed":false,"reviewUrl":"https://www.maptrack.com/statistics#downtime-construction-daily","citationStatus":"withheld-pending-primary-verification"},{"id":"downtime-reactive-cost","stat":"up to 30–40%","headline":"Cost opportunity of moving off reactive-heavy maintenance","description":"A 2010 US Department of Energy guide synthesising older facility evidence reported a possible 30-40% predictive-maintenance opportunity versus reactive-heavy operations and 12-18% for preventive maintenance. These are historical guide estimates, not current software outcomes.","context":"Scope: US Department of Energy / PNNL O&M Best Practices Guide, Release 3.0, section 5.3 on preventive maintenance and section 5.4 on predictive maintenance, PDF pages 51-52. The guide reports 12-18% preventive-over-reactive savings, 8-12% predictive-over-preventive savings and opportunities exceeding 30-40% where a facility relies heavily on reactive maintenance.","category":"downtime-cost","year":2010,"tags":["reactive","preventive","cost-comparison","maintenance"],"source":{"name":"US Department of Energy / PNNL, O&M Best Practices Guide","url":"https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","year":2010,"archiveUrl":"https://web.archive.org/web/20260727111728id_/https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-reactive-cost","embedUrl":"https://www.maptrack.com/embed/stat/downtime-reactive-cost","attribution":"US Department of Energy / PNNL, O&M Best Practices Guide (2010), \"Cost opportunity of moving off reactive-heavy maintenance\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-reactive-cost"},{"id":"insured-loss-faulty-workmanship-maintenance","stat":"9%","headline":"Faulty workmanship and maintenance is the third top cause of corporate insurance loss","description":"An Allianz analysis of 534,456 corporate insurance claims found that faulty workmanship and maintenance incidents are the third largest cause of loss by value, accounting for 9% of claims value and 7% of claims by number.","context":"Scope: Allianz Global Corporate & Specialty, Global Claims Review 2022, PDF page 5, with the dataset described on PDF page 2. Based on 534,456 corporate insurance claims from 207 countries and territories between 1 January 2017 and 31 December 2021, worth approximately EUR 88.7bn. Allianz groups faulty workmanship together with maintenance in one cause-of-loss category, and gives collapse or subsidence from faulty work, faulty manufacturing of products and components, and incorrect design as its examples, so the 9% is not attributable to maintenance failure alone. Claim values are 100% of each loss rather than only the Allianz share. Regional tables in the same report show different shares, so 9% is specifically the global figure.","category":"maintenance","year":2022,"tags":["maintenance","insurance","loss-causes","workmanship"],"source":{"name":"Allianz Global Corporate & Specialty, Global Claims Review 2022","url":"https://commercial.allianz.com/content/dam/onemarketing/commercial/commercial/reports/AGCS-Global-Claims-Review-2022.pdf","year":2022,"archiveUrl":"https://web.archive.org/web/20260305102452id_/https://commercial.allianz.com/content/dam/onemarketing/commercial/commercial/reports/AGCS-Global-Claims-Review-2022.pdf","checkedOn":"2026-08-28","reviewedOn":"2026-08-28","verificationStatus":"source-reviewed","vintageNote":"Published in July 2022 and based on claims from 1 January 2017 to 31 December 2021. Treat this as a historical five-year claims window, not a current-year loss forecast."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#insured-loss-faulty-workmanship-maintenance","embedUrl":"https://www.maptrack.com/embed/stat/insured-loss-faulty-workmanship-maintenance","attribution":"Allianz Global Corporate & Specialty, Global Claims Review 2022 (2022), \"Faulty workmanship and maintenance is the third top cause of corporate insurance loss\". Compiled by MapTrack at https://www.maptrack.com/statistics#insured-loss-faulty-workmanship-maintenance"},{"id":"downtime-lost-revenue","stat":"11%","headline":"Annual revenue lost to unplanned downtime","description":"A Siemens and Senseye 2024 vendor study estimated unplanned downtime at about 11% of combined revenue for the Fortune Global 500, or almost US$1.4 trillion a year.","context":"Scope: Siemens / Senseye, The True Cost of Downtime 2024, executive summary on report pages 2-3. This is an estimate for the world's 500 largest companies by revenue, not a benchmark for a typical plant or smaller business.","category":"downtime-cost","year":2024,"tags":["downtime","revenue","enterprise"],"source":{"name":"Siemens / Senseye, The True Cost of Downtime 2024","url":"https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","year":2024,"archiveUrl":"https://web.archive.org/web/20260811073000id_/https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-lost-revenue","embedUrl":"https://www.maptrack.com/embed/stat/downtime-lost-revenue","attribution":"Siemens / Senseye, The True Cost of Downtime 2024 (2024), \"Annual revenue lost to unplanned downtime\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-lost-revenue"},{"id":"pm-savings","stat":"12–18%","headline":"Cost savings from preventive vs reactive maintenance","description":"A 2010 US Department of Energy guide synthesising older facility evidence reported an estimated 12% to 18% preventive-maintenance saving over reactive work. It is not a guaranteed software outcome.","context":"The US Department of Energy adds that facilities relying purely on reactive maintenance \"could save much more than 18% by instituting a proper preventive maintenance program\", and that moving on from preventive to predictive maintenance saves a further 8% to 12%.","category":"maintenance","year":2010,"tags":["preventive","savings","maintenance"],"source":{"name":"US Department of Energy, Federal Energy Management Program, O&M Best Practices Guide Release 3.0 (p.5.3)","url":"https://www.energy.gov/sites/default/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","year":2010,"archiveUrl":"https://web.archive.org/web/20260705230657/https://www.energy.gov/sites/default/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","checkedOn":"2026-08-10","reviewedOn":"2026-08-10","verificationStatus":"source-reviewed","vintageNote":"Release 3.0 (August 2010) is the current edition of the DOE guide; no later release has been published."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#pm-savings","embedUrl":"https://www.maptrack.com/embed/stat/pm-savings","attribution":"US Department of Energy, Federal Energy Management Program, O&M Best Practices Guide Release 3.0 (p.5.3) (2010), \"Cost savings from preventive vs reactive maintenance\". Compiled by MapTrack at https://www.maptrack.com/statistics#pm-savings"},{"id":"osha-penalty-max","stat":"US$165,514","headline":"Maximum OSHA penalty per wilful or repeated violation","description":"OSHA can impose up to $165,514 per wilful or repeated violation, and $16,550 for a serious violation.","context":"Failure to abate adds up to $16,550 per day past the abatement date, generally capped at 30 days. The amounts are normally indexed to inflation each January, but the 2026 adjustment could not be made: the government shutdown stopped the Bureau of Labor Statistics publishing the October 2025 CPI-U figure the 1994 statute requires, so the 2025 levels carried over unchanged.","category":"compliance","year":2026,"tags":["OSHA","penalty","compliance","US"],"source":{"name":"OSHA, 2026 Annual Adjustments to OSHA Civil Penalties (effective 1 January 2026)","url":"https://www.osha.gov/memos/2026-05-21/2026-annual-adjustments-osha-civil-penalties","year":2026,"archiveUrl":"https://web.archive.org/web/20260821193213/https://www.osha.gov/memos/2026-05-21/2026-annual-adjustments-osha-civil-penalties","checkedOn":"2026-08-10","reviewedOn":"2026-08-10","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#osha-penalty-max","embedUrl":"https://www.maptrack.com/embed/stat/osha-penalty-max","attribution":"OSHA, 2026 Annual Adjustments to OSHA Civil Penalties (effective 1 January 2026) (2026), \"Maximum OSHA penalty per wilful or repeated violation\". Compiled by MapTrack at https://www.maptrack.com/statistics#osha-penalty-max"},{"id":"au-whs-penalty","stat":"AU$17.7 million","headline":"Maximum Commonwealth WHS fine for a body corporate","description":"Under the Commonwealth WHS regime for 2026-27, a body corporate faces up to $17,728,000 for a Category 1 offence. State and territory maxima differ.","context":"That is the Commonwealth amount for 2026-27. Category 1 also carries up to $3,546,000 for an individual who is a PCBU or an officer, and $1,773,000 for any other individual. The amounts are indexed to CPI each 1 July, which is why older figures such as the original $3 million in the 2011 model Act are now badly out of date. Each state and territory indexes its own schedule, so the exact maximum depends on the jurisdiction.","category":"compliance","year":2026,"tags":["WHS","penalty","Australia","compliance"],"source":{"name":"Work Health and Safety (Public Notification of Indexed Penalty Amounts) Notifiable Instrument 2026 (F2026N00550)","url":"https://www.legislation.gov.au/F2026N00550/asmade/text","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#au-whs-penalty","embedUrl":"https://www.maptrack.com/embed/stat/au-whs-penalty","attribution":"Work Health and Safety (Public Notification of Indexed Penalty Amounts) Notifiable Instrument 2026 (F2026N00550) (2026), \"Maximum Commonwealth WHS fine for a body corporate\". Compiled by MapTrack at https://www.maptrack.com/statistics#au-whs-penalty"},{"id":"workplace-injury-cost-au","stat":"AU$28.6 billion","headline":"Modelled annual output forgone from Australian workplace harm","description":"A Safe Work Australia-commissioned Deloitte model estimated average annual output forgone of $28.6 billion and 185,500 full-time-equivalent jobs across 2008 to 2018 due to work-related injury and illness.","context":"Modelled by Deloitte Access Economics for Safe Work Australia. Across 2008 to 2018 the cumulative output forgone reached $315 billion, from 6.9 million work-related injuries and illnesses. This measures economic output lost rather than premiums paid; Safe Work Australia’s separate direct-and-indirect costing put the total at $61.8 billion in 2012-13, or 4.1% of GDP.","category":"compliance","year":2022,"tags":["injury","cost","Australia","WHS"],"source":{"name":"Safe Work Australia / Deloitte Access Economics, Safer, healthier, wealthier: the economic value of reducing work-related injuries and illnesses","url":"https://www.safeworkaustralia.gov.au/doc/safer-healthier-wealthier-economic-value-reducing-work-related-injuries-and-illnesses-technical-report","year":2022,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#workplace-injury-cost-au","embedUrl":"https://www.maptrack.com/embed/stat/workplace-injury-cost-au","attribution":"Safe Work Australia / Deloitte Access Economics, Safer, healthier, wealthier: the economic value of reducing work-related injuries and illnesses (2022), \"Modelled annual output forgone from Australian workplace harm\". Compiled by MapTrack at https://www.maptrack.com/statistics#workplace-injury-cost-au"},{"id":"qr-barcode-adoption","stat":"10 billion scans a day","headline":"Scale of barcode use in global commerce","description":"GS1 US reports that barcodes identify more than 1 billion products worldwide and are scanned more than 10 billion times a day. This is a global-commerce measure, not an asset-management adoption rate.","category":"adoption-trends","year":2024,"tags":["QR","barcode","identification","adoption"],"source":{"name":"GS1 US","url":"https://www.gs1us.org/industries-and-insights/media-center/press-releases/gs1-us-celebrates-50-year-barcode-scanniversary","year":2024,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#qr-barcode-adoption","embedUrl":"https://www.maptrack.com/embed/stat/qr-barcode-adoption","attribution":"GS1 US (2024), \"Scale of barcode use in global commerce\". Compiled by MapTrack at https://www.maptrack.com/statistics#qr-barcode-adoption"},{"id":"spreadsheet-still-dominant","stat":"45%","headline":"Facilities still running on spreadsheets and paper","description":"In a mainly US manufacturing survey, 45% of 198 respondents to a multi-select technology question named in-house spreadsheets and schedules, 39% named clipboards and paper records, and 58% named a CMMS.","category":"adoption-trends","year":2019,"tags":["spreadsheet","adoption","paper-based","CMMS"],"source":{"name":"Plant Engineering Maintenance Study","url":"https://www.plantengineering.com/wp-content/uploads/sites/4/2019/02/Plant-Engineering-2019-Maintenance-Report.pdf","year":2019,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#spreadsheet-still-dominant","embedUrl":"https://www.maptrack.com/embed/stat/spreadsheet-still-dominant","attribution":"Plant Engineering Maintenance Study (2019), \"Facilities still running on spreadsheets and paper\". Compiled by MapTrack at https://www.maptrack.com/statistics#spreadsheet-still-dominant"},{"id":"gps-fleet-penetration","stat":"56.8%","headline":"Estimated fleet-management-system penetration in North America","description":"Berg Insight estimated that fleet management systems covered 56.8% of non-privately owned commercial vehicles in North America in 2024. It forecast 84.7% coverage by 2029.","context":"Berg Insight, Fleet Management in North America, 15th Edition. The denominator is the total population of non-privately owned vehicles in commercial use, not operators, so it describes vehicle coverage rather than the share of businesses using tracking. Europe runs well behind North America on the same measure.","category":"adoption-trends","year":2025,"tags":["gps","fleet","adoption","telematics"],"source":{"name":"Berg Insight","url":"https://media.berginsight.com/2025/11/07105750/bi-fmna15-ps.pdf","year":2025,"checkedOn":"2026-08-19","reviewedOn":"2026-08-19","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#gps-fleet-penetration","embedUrl":"https://www.maptrack.com/embed/stat/gps-fleet-penetration","attribution":"Berg Insight (2025), \"Estimated fleet-management-system penetration in North America\". Compiled by MapTrack at https://www.maptrack.com/statistics#gps-fleet-penetration"},{"id":"audit-time-reduction","stat":"96%","headline":"Reduction in cycle count time with RFID","description":"Auburn University RFID Lab research cited by GS1 US reported a 96% reduction in cycle-count time for item-level RFID in a retail and supply-chain setting. The result does not quantify QR-code or barcode asset audits.","category":"roi","year":2018,"tags":["audit","time-savings","RFID","cycle-count"],"source":{"name":"Auburn University RFID Lab, via GS1 US","url":"https://documents.gs1us.org/adobe/assets/deliver/urn:aaid:aem:a8d86484-ffce-498d-8c59-fc1223437d58/Case-Study-Executive-Summary-EPC-RFID-Retail-Supply-Chain-Data-Exchange-Study.pdf","year":2018,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#audit-time-reduction","embedUrl":"https://www.maptrack.com/embed/stat/audit-time-reduction","attribution":"Auburn University RFID Lab, via GS1 US (2018), \"Reduction in cycle count time with RFID\". Compiled by MapTrack at https://www.maptrack.com/statistics#audit-time-reduction"},{"id":"fleet-fuel-savings","stat":"10-15%","headline":"Fuel-saving range in Australian eco-driving guidance","description":"Australian National Road Safety Partnership Program guidance says changed driver behaviour can save 10 to 15% of fuel consumption. It does not attribute that range to a tracking or telematics product.","context":"From the NRSPP Eco Driving Fact Sheet. The saving is attributed to driver behaviour - smoother acceleration, reduced idling, correct speeds - not to any monitoring product. Telematics vendors commonly restate this figure as an outcome of their own systems; the underlying research measures the driving, not the hardware.","category":"roi","year":2018,"tags":["fuel","fleet","savings","driver-behaviour"],"source":{"name":"National Road Safety Partnership Program","url":"https://media.nrspp.org.au/wp-content/uploads/2018/12/06012655/Eco-Driving-Fact-Sheet.pdf","year":2018,"checkedOn":"2026-08-19","reviewedOn":"2026-08-19","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#fleet-fuel-savings","embedUrl":"https://www.maptrack.com/embed/stat/fleet-fuel-savings","attribution":"National Road Safety Partnership Program (2018), \"Fuel-saving range in Australian eco-driving guidance\". Compiled by MapTrack at https://www.maptrack.com/statistics#fleet-fuel-savings"},{"id":"maintenance-cost-reduction-cmms","stat":"19.4%","headline":"Reported material-cost saving in a historical CMMS survey","description":"A 1994 A.T. Kearney and IndustryWeek survey of 558 CMMS users reported average material-cost savings of 19.4% and average payback of 14.5 months. The US Department of Energy reproduced the survey in its 2010 O&M guide.","context":"From a survey of 558 companies using a CMMS, conducted by A.T. Kearney with Industry Week and republished by the US Department of Energy. The same respondents reported a 28.3% increase in maintenance productivity, a 20.1% reduction in equipment downtime, and a 17.8% reduction in maintenance, repair and operations inventory.","category":"roi","year":2010,"tags":["CMMS","cost-reduction","maintenance"],"source":{"name":"US Department of Energy, O&M Best Practices Guide Release 3.0 (p.4.2), citing an A.T. Kearney and Industry Week survey of 558 CMMS users","url":"https://www.energy.gov/sites/default/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","year":2010,"archiveUrl":"https://web.archive.org/web/20260705230657/https://www.energy.gov/sites/default/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","checkedOn":"2026-08-10","reviewedOn":"2026-08-10","verificationStatus":"source-reviewed","vintageNote":"The underlying survey dates from 1994 and remains the most widely cited measured set of CMMS benefits; the DOE republished it in Release 3.0 of its O&M guide in 2010."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#maintenance-cost-reduction-cmms","embedUrl":"https://www.maptrack.com/embed/stat/maintenance-cost-reduction-cmms","attribution":"US Department of Energy, O&M Best Practices Guide Release 3.0 (p.4.2), citing an A.T. Kearney and Industry Week survey of 558 CMMS users (2010), \"Reported material-cost saving in a historical CMMS survey\". Compiled by MapTrack at https://www.maptrack.com/statistics#maintenance-cost-reduction-cmms"},{"id":"theft-nsw-from-vehicle-decline","stat":"-72%","headline":"Theft from vehicles in NSW fell 72% in a generation","description":"Recorded thefts from motor vehicles in New South Wales fell from 90,528 in 2001 to 25,218 in 2025, a 72% decline over 24 years.","context":"MapTrack independently reproduced the annual totals and rounded change from a frozen, checksummed subset of the 18 June 2026 NSW Bureau of Crime Statistics and Research workbook. Recorded crime counts incidents reported to police, so it understates true volume, and the trend is NSW only. The source extract, metadata and deterministic generator are published with the MapTrack Equipment Theft Index.","category":"theft-loss","year":2026,"tags":["theft","vehicles","australia","nsw","trend"],"source":{"name":"NSW Bureau of Crime Statistics and Research","url":"https://bocsar.nsw.gov.au/statistics-dashboards/open-datasets/criminal-offences-data.html","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"verified"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-nsw-from-vehicle-decline","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-from-vehicle-decline","attribution":"NSW Bureau of Crime Statistics and Research (2026), \"Theft from vehicles in NSW fell 72% in a generation\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-nsw-from-vehicle-decline"},{"id":"theft-nsw-worksite-breakin-decline","stat":"-85%","headline":"NSW non-residential break-ins fell 85% since 2001","description":"Break and enter offences at non-residential premises in New South Wales fell from 52,203 in 2001 to 7,639 in 2025.","context":"MapTrack independently reproduced the annual totals and rounded change from a frozen, checksummed subset of the 18 June 2026 NSW Bureau of Crime Statistics and Research workbook. Break and enter non-dwelling includes worksites, yards and workshops but covers all non-residential premises, so it is a broad proxy rather than a direct construction-theft measure.","category":"theft-loss","year":2026,"tags":["theft","construction","australia","nsw","trend"],"source":{"name":"NSW Bureau of Crime Statistics and Research","url":"https://bocsar.nsw.gov.au/statistics-dashboards/open-datasets/criminal-offences-data.html","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"verified"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-nsw-worksite-breakin-decline","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-worksite-breakin-decline","attribution":"NSW Bureau of Crime Statistics and Research (2026), \"NSW non-residential break-ins fell 85% since 2001\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-nsw-worksite-breakin-decline"},{"id":"theft-nsw-vehicle-theft-reversal","stat":"+42%","headline":"NSW vehicle theft has risen 42% since 2021","description":"Motor vehicle theft in New South Wales rose from 10,496 incidents in 2021 to 14,857 in 2025, a 42% increase, while theft from vehicles fell 9% over the same period.","context":"MapTrack independently reproduced both annual totals and the rounded change from a frozen, checksummed subset of the 18 June 2026 NSW Bureau of Crime Statistics and Research workbook. Motor vehicle theft and theft from motor vehicles are separate police-recorded offence categories, and both remain below their 2001 levels.","category":"theft-loss","year":2026,"tags":["theft","vehicles","fleet","australia","nsw"],"source":{"name":"NSW Bureau of Crime Statistics and Research","url":"https://bocsar.nsw.gov.au/statistics-dashboards/open-datasets/criminal-offences-data.html","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"verified"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-nsw-vehicle-theft-reversal","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-vehicle-theft-reversal","attribution":"NSW Bureau of Crime Statistics and Research (2026), \"NSW vehicle theft has risen 42% since 2021\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-nsw-vehicle-theft-reversal"},{"id":"theft-nsw-from-vehicle-daily-rate","stat":"69 a day","headline":"NSW records about 69 thefts from vehicles every day","description":"New South Wales recorded 25,054 thefts from motor vehicles in the twelve months to March 2026, an average of about 69 a day.","context":"MapTrack independently reproduced the 25,054 rolling-twelve-month total from a frozen, checksummed subset of the 18 June 2026 NSW Bureau of Crime Statistics and Research workbook. Dividing by 365 gives 68.64, rounded to 69. The count is police-recorded incidents in one state, not a national tool-theft estimate.","category":"theft-loss","year":2026,"tags":["theft","vehicles","tools","australia","nsw"],"source":{"name":"NSW Bureau of Crime Statistics and Research","url":"https://bocsar.nsw.gov.au/statistics-dashboards/open-datasets/criminal-offences-data.html","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"verified"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-nsw-from-vehicle-daily-rate","embedUrl":"https://www.maptrack.com/embed/stat/theft-nsw-from-vehicle-daily-rate","attribution":"NSW Bureau of Crime Statistics and Research (2026), \"NSW records about 69 thefts from vehicles every day\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-nsw-from-vehicle-daily-rate"},{"id":"fleet-idle-fuel-waste","stat":"6 billion gallons per year","headline":"Fuel wasted through unnecessary vehicle idling","description":"Argonne National Laboratory estimates that unnecessary idling across all US road vehicles wastes more than 6 billion gallons of fuel and more than US$11 billion each year, using a conservative US$2-per-gallon valuation.","context":"Argonne National Laboratory estimate spanning all US road vehicles, passenger cars through heavy-duty trucks; long-haul trucks alone burn more than 1 billion gallons idling during required rest stops. The US$11 billion valuation is the source’s own conservative floor at US$2 per gallon. An earlier version of this entry carried a higher fleet-operator dollar figure the cited source does not state; see the superseded-figures register.","category":"downtime-cost","year":2024,"tags":["fleet","fuel","idling","waste","cost"],"source":{"name":"US Department of Energy, Argonne National Laboratory","url":"https://afdc.energy.gov/conserve/idle-reduction-benefits","year":2024,"archiveUrl":"https://web.archive.org/web/20260308042726/https://afdc.energy.gov/conserve/idle-reduction-benefits","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#fleet-idle-fuel-waste","embedUrl":"https://www.maptrack.com/embed/stat/fleet-idle-fuel-waste","attribution":"US Department of Energy, Argonne National Laboratory (2024), \"Fuel wasted through unnecessary vehicle idling\". Compiled by MapTrack at https://www.maptrack.com/statistics#fleet-idle-fuel-waste"},{"id":"trucking-congestion-annual-cost","stat":"US$108.8 billion per year","headline":"Annual cost of traffic congestion to the US trucking industry","description":"Traffic congestion on US highways added US$108.8 billion in operational costs to the trucking industry in 2022, a record high and a 15.0% increase year on year.","context":"ATRI Cost of Congestion 2024 Update (published December 2024; 2022 is the most recent modelled year), computed from ATRI’s truck GPS database and operational-cost benchmarks. Total congestion hours fell slightly from 2021 in a softening freight market, but per-truck operating costs rose faster, so the dollar cost still climbed.","category":"downtime-cost","year":2024,"tags":["fleet","congestion","trucking","cost"],"source":{"name":"American Transportation Research Institute","url":"https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","year":2024,"archiveUrl":"https://web.archive.org/web/20260404101037/https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#trucking-congestion-annual-cost","embedUrl":"https://www.maptrack.com/embed/stat/trucking-congestion-annual-cost","attribution":"American Transportation Research Institute (2024), \"Annual cost of traffic congestion to the US trucking industry\". Compiled by MapTrack at https://www.maptrack.com/statistics#trucking-congestion-annual-cost"},{"id":"trucking-congestion-per-truck-cost","stat":"US$7,588 per truck per year","headline":"Average congestion cost for every registered combination truck","description":"Highway congestion cost an average of US$7,588 for every registered combination truck in the United States in 2022, with total industry delay equivalent to more than 430,000 drivers sitting idle for a full working year.","context":"ATRI Cost of Congestion 2024 Update; the per-truck average divides the US$108.8 billion national congestion cost across registered combination trucks. 2022 is the most recent modelled year.","category":"downtime-cost","year":2024,"tags":["fleet","congestion","trucking","cost"],"source":{"name":"American Transportation Research Institute","url":"https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","year":2024,"archiveUrl":"https://web.archive.org/web/20260404101037/https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#trucking-congestion-per-truck-cost","embedUrl":"https://www.maptrack.com/embed/stat/trucking-congestion-per-truck-cost","attribution":"American Transportation Research Institute (2024), \"Average congestion cost for every registered combination truck\". Compiled by MapTrack at https://www.maptrack.com/statistics#trucking-congestion-per-truck-cost"},{"id":"trucking-congestion-fuel-waste","stat":"6.4 billion gallons of diesel","headline":"Diesel wasted each year by US trucks stuck in congestion","description":"The US trucking industry wasted more than 6.4 billion gallons of diesel fuel sitting in congestion in 2022, adding US$32.1 billion in fuel costs alone.","context":"ATRI Cost of Congestion 2024 Update. Distinct from the Argonne idling figure: this measures fuel burned in congested traffic by trucks specifically, not fuel lost to discretionary idling across all road vehicles.","category":"downtime-cost","year":2024,"tags":["fleet","congestion","trucking","fuel","cost"],"source":{"name":"American Transportation Research Institute","url":"https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","year":2024,"archiveUrl":"https://web.archive.org/web/20260404101037/https://truckingresearch.org/2024/12/truckings-annual-congestion-costs-rise-to-108-8-billion/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#trucking-congestion-fuel-waste","embedUrl":"https://www.maptrack.com/embed/stat/trucking-congestion-fuel-waste","attribution":"American Transportation Research Institute (2024), \"Diesel wasted each year by US trucks stuck in congestion\". Compiled by MapTrack at https://www.maptrack.com/statistics#trucking-congestion-fuel-waste"},{"id":"fleet-unplanned-maintenance-ratio","stat":"46.3%","headline":"Share of fleet maintenance work that is unplanned","description":"Fleetio vendor-platform data, reported by FleetOwner, covered roughly 1.2 million assets and 8.85 million work orders. It classified 53.7% of vehicle maintenance as scheduled, 40.1% as unscheduled and 6.2% as emergency, so unplanned work represented 46.3%.","category":"maintenance","year":2026,"tags":["fleet","maintenance","reactive","unplanned","benchmark"],"source":{"name":"FleetOwner, reporting Fleetio benchmark data","url":"https://www.fleetowner.com/operations/maintenance/article/55361099/fleetio-data-reveals-fleet-maintenance-benchmarks","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#fleet-unplanned-maintenance-ratio","embedUrl":"https://www.maptrack.com/embed/stat/fleet-unplanned-maintenance-ratio","attribution":"FleetOwner, reporting Fleetio benchmark data (2026), \"Share of fleet maintenance work that is unplanned\". Compiled by MapTrack at https://www.maptrack.com/statistics#fleet-unplanned-maintenance-ratio"},{"id":"theft-vic-tradie-tools","stat":"$40.8 million","headline":"Tools stolen from Victorian tradies in a single year","description":"RACV reported Crime Statistics Agency data showing 36,708 hand and power tools worth $40.8 million stolen from Victorian vehicles and worksites in the year to 30 June 2025, up 7.5% year on year.","category":"theft-loss","year":2025,"tags":["theft","tools","tradies","Australia","Victoria"],"source":{"name":"RACV, citing the Crime Statistics Agency (Victoria)","url":"https://www.racv.com.au/royalauto/property/safety-security/how-to-protect-tools-from-theft.html","year":2025,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-vic-tradie-tools","embedUrl":"https://www.maptrack.com/embed/stat/theft-vic-tradie-tools","attribution":"RACV, citing the Crime Statistics Agency (Victoria) (2025), \"Tools stolen from Victorian tradies in a single year\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-vic-tradie-tools"},{"id":"cargo-theft-annual-losses","stat":"US$725 million per year","headline":"Annual cargo theft losses across the United States and Canada","description":"Verisk CargoNet estimated nearly US$725 million in cargo-theft losses from incidents reported to its proprietary United States and Canada database in 2025, up 60% year on year.","context":"Verisk CargoNet annual analysis of incidents reported to its national database: 3,594 supply chain crime events in 2025 against 3,607 in 2024, with confirmed cargo thefts up 18% to 2,646. Reported incidents are a floor on the true total. CargoNet attributes the loss surge to organised groups targeting higher-value shipments.","category":"theft-loss","year":2026,"tags":["theft","cargo","freight","trucking"],"source":{"name":"Verisk CargoNet","url":"https://www.verisk.com/company/newsroom/cargo-theft-losses-surge-to-estimated-$725-million-in-2025-verisk-cargonet-analysis-reveals/","year":2026,"archiveUrl":"https://web.archive.org/web/20260811195347/https://www.verisk.com/company/newsroom/cargo-theft-losses-surge-to-estimated-$725-million-in-2025-verisk-cargonet-analysis-reveals/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#cargo-theft-annual-losses","embedUrl":"https://www.maptrack.com/embed/stat/cargo-theft-annual-losses","attribution":"Verisk CargoNet (2026), \"Annual cargo theft losses across the United States and Canada\". Compiled by MapTrack at https://www.maptrack.com/statistics#cargo-theft-annual-losses"},{"id":"cargo-theft-average-value","stat":"US$273,990 per theft","headline":"Average value of a single cargo theft","description":"Among confirmed cargo-theft incidents reported to Verisk CargoNet in the United States and Canada, average value rose 36% to US$273,990 in 2025 from US$202,364 in 2024.","context":"Verisk CargoNet annual analysis, averaged across confirmed cargo theft incidents reported to CargoNet in the United States and Canada. The rise reflects target selection, not more incidents: confirmed thefts rose 18% while total supply chain crime events were flat.","category":"theft-loss","year":2026,"tags":["theft","cargo","freight","trucking"],"source":{"name":"Verisk CargoNet","url":"https://www.verisk.com/company/newsroom/cargo-theft-losses-surge-to-estimated-$725-million-in-2025-verisk-cargonet-analysis-reveals/","year":2026,"archiveUrl":"https://web.archive.org/web/20260811195347/https://www.verisk.com/company/newsroom/cargo-theft-losses-surge-to-estimated-$725-million-in-2025-verisk-cargonet-analysis-reveals/","checkedOn":"2026-08-21","reviewedOn":"2026-08-21","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#cargo-theft-average-value","embedUrl":"https://www.maptrack.com/embed/stat/cargo-theft-average-value","attribution":"Verisk CargoNet (2026), \"Average value of a single cargo theft\". Compiled by MapTrack at https://www.maptrack.com/statistics#cargo-theft-average-value"},{"id":"theft-qld-tools-recovery","stat":"Only ~5%","headline":"Recovery rate for tools stolen across Queensland","description":"Queensland Police recorded more than 25,000 tools stolen in the 2024-25 financial year, but only 1,283 were returned to their owners, a recovery rate of roughly 5%.","category":"theft-loss","year":2025,"tags":["theft","tools","recovery","Australia","Queensland"],"source":{"name":"Queensland Police Service","url":"https://mypolice.qld.gov.au/news/2025/10/13/tradies-urged-to-lock-up-their-livelihood-as-tool-thefts-surge-across-queensland/","year":2025,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#theft-qld-tools-recovery","embedUrl":"https://www.maptrack.com/embed/stat/theft-qld-tools-recovery","attribution":"Queensland Police Service (2025), \"Recovery rate for tools stolen across Queensland\". Compiled by MapTrack at https://www.maptrack.com/statistics#theft-qld-tools-recovery"},{"id":"downtime-fortune500-annual","stat":"~$1.4 trillion","headline":"Annual cost of unplanned downtime to the 500 largest companies","description":"A Siemens and Senseye vendor study estimated that unplanned downtime costs the world’s 500 largest companies by revenue almost US$1.4 trillion a year, about 11% of their combined revenue.","context":"Scope: Siemens / Senseye, The True Cost of Downtime 2024, executive summary on report pages 2-3. This is an estimate for the world's 500 largest companies by revenue and should not be generalised to a typical plant or smaller business.","category":"downtime-cost","year":2024,"tags":["downtime","cost","unplanned","manufacturing"],"source":{"name":"Siemens / Senseye, The True Cost of Downtime 2024","url":"https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","year":2024,"archiveUrl":"https://web.archive.org/web/20260811073000id_/https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-fortune500-annual","embedUrl":"https://www.maptrack.com/embed/stat/downtime-fortune500-annual","attribution":"Siemens / Senseye, The True Cost of Downtime 2024 (2024), \"Annual cost of unplanned downtime to the 500 largest companies\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-fortune500-annual"},{"id":"downtime-plant-monthly-hours","stat":"27 hours a month","headline":"Production time an average large plant loses to unplanned downtime","description":"A Siemens and Senseye vendor study, covering mainly large manufacturers and heavy-industry producers, reported an average of about 27 unplanned-downtime hours and 25 incidents per facility per month.","context":"Scope: Siemens / Senseye, The True Cost of Downtime 2024, executive summary on report page 3. The survey mainly covers large manufacturers and major heavy-industry producers; 27 hours and 25 incidents are monthly averages per facility across the sectors surveyed.","category":"downtime-cost","year":2024,"tags":["downtime","plant","productivity","hours"],"source":{"name":"Siemens / Senseye, The True Cost of Downtime 2024","url":"https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","year":2024,"archiveUrl":"https://web.archive.org/web/20260811073000id_/https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-plant-monthly-hours","embedUrl":"https://www.maptrack.com/embed/stat/downtime-plant-monthly-hours","attribution":"Siemens / Senseye, The True Cost of Downtime 2024 (2024), \"Production time an average large plant loses to unplanned downtime\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-plant-monthly-hours"},{"id":"downtime-fleet-underutilised","stat":"40-50%","headline":"Vendor-survey estimate of underutilised fleet equipment","description":"Respondents to Teletrac Navman’s 2026 vendor survey estimated that 40 to 50% of their equipment was underutilised or unused; 67% reported assets held onsite but unused at least some of the time.","category":"downtime-cost","year":2026,"tags":["utilisation","fleet","equipment","idle-assets"],"source":{"name":"Teletrac Navman, 2026 Equipment Utilization Report (via Construction Equipment)","url":"https://www.constructionequipment.com/technology/construction-telematics/article/55367783/5-things-construction-equipment-fleets-should-fix-according-to-teletrac-navmans-2026-utilization-report","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-fleet-underutilised","embedUrl":"https://www.maptrack.com/embed/stat/downtime-fleet-underutilised","attribution":"Teletrac Navman, 2026 Equipment Utilization Report (via Construction Equipment) (2026), \"Vendor-survey estimate of underutilised fleet equipment\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-fleet-underutilised"},{"id":"compliance-au-machinery-injury-rate","stat":"6.5%","headline":"Work-related injury rate for machinery operators and drivers","description":"ABS data for 2021-22 recorded a 6.5% work-related injury rate among Australian machinery operators and drivers. The percentage uses people employed in that occupation as its denominator.","category":"compliance","year":2022,"tags":["WHS","injury","machinery","Australia","plant"],"source":{"name":"Australian Bureau of Statistics (ABS)","url":"https://www.abs.gov.au/statistics/labour/earnings-and-working-conditions/work-related-injuries/latest-release","year":2022,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#compliance-au-machinery-injury-rate","embedUrl":"https://www.maptrack.com/embed/stat/compliance-au-machinery-injury-rate","attribution":"Australian Bureau of Statistics (ABS) (2022), \"Work-related injury rate for machinery operators and drivers\". Compiled by MapTrack at https://www.maptrack.com/statistics#compliance-au-machinery-injury-rate"},{"id":"adoption-warehouse-rfid-2028","stat":"58%","headline":"Warehouse leaders planning to deploy RFID asset tracking by 2028","description":"A Zebra Technologies-sponsored survey of more than 1,400 warehouse decision-makers reported that 58% planned to deploy RFID to track assets, goods and people by 2028. This is stated intent, not observed adoption.","category":"adoption-trends","year":2023,"tags":["RFID","adoption","warehouse","asset-tracking"],"source":{"name":"Zebra Technologies, Warehousing Vision Study","url":"https://www.zebra.com/us/en/about-zebra/newsroom/press-releases/2023/zebra-study-nearly-six-in-10-warehouse-leaders-plan-to-deploy-rfid-by-2028.html","year":2023,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#adoption-warehouse-rfid-2028","embedUrl":"https://www.maptrack.com/embed/stat/adoption-warehouse-rfid-2028","attribution":"Zebra Technologies, Warehousing Vision Study (2023), \"Warehouse leaders planning to deploy RFID asset tracking by 2028\". Compiled by MapTrack at https://www.maptrack.com/statistics#adoption-warehouse-rfid-2028"},{"id":"wrench-time-planning-gain","stat":"35% → 55%","headline":"Modelled wrench-time target in maintenance-planning guidance","description":"Maintenance-planning author Doc Palmer uses 35% average wrench time and a 55% planned-and-scheduled target to model a 57% productivity gain. This is practitioner guidance and arithmetic, not a measured causal study.","category":"maintenance","year":2025,"tags":["wrench-time","planning","scheduling","productivity"],"source":{"name":"Doc Palmer CMRP, in Plant Services","url":"https://www.plantservices.com/planned-maintenance/planning-and-scheduling/article/55253408/the-real-dollar-value-of-planning-how-to-turn-maintenance-time-into-money","year":2025,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#wrench-time-planning-gain","embedUrl":"https://www.maptrack.com/embed/stat/wrench-time-planning-gain","attribution":"Doc Palmer CMRP, in Plant Services (2025), \"Modelled wrench-time target in maintenance-planning guidance\". Compiled by MapTrack at https://www.maptrack.com/statistics#wrench-time-planning-gain"},{"id":"reactive-share-average","stat":"> 55%","headline":"Reactive share in a historical US maintenance benchmark","description":"A 2010 US Department of Energy guide reproduced circa-2000 facility evidence in which more than 55% of maintenance resources and activities were reactive, 31% preventive and 12% predictive. It is not a current prevalence estimate.","context":"Scope: US Department of Energy / PNNL O&M Best Practices Guide, Release 3.0, section 5.2, PDF page 50. The mix reproduces a study described by the guide as recent in winter 2000, so it is a historical US facility benchmark rather than a current global prevalence estimate.","category":"maintenance","year":2010,"tags":["reactive","preventive","maintenance-mix"],"source":{"name":"US Department of Energy / PNNL, O&M Best Practices Guide","url":"https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","year":2010,"archiveUrl":"https://web.archive.org/web/20260727111728id_/https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#reactive-share-average","embedUrl":"https://www.maptrack.com/embed/stat/reactive-share-average","attribution":"US Department of Energy / PNNL, O&M Best Practices Guide (2010), \"Reactive share in a historical US maintenance benchmark\". Compiled by MapTrack at https://www.maptrack.com/statistics#reactive-share-average"},{"id":"smrp-proactive-hours-target","stat":"~80%","headline":"Proactive-hours target relayed in a PEMAC workshop","description":"PEMAC workshop slides relaying purported SMRP best-practice targets allocate 15% of hours to preventive work, 15% to PM-generated corrective work, 15% to predictive work and 35% to PdM-generated corrective work. The roughly 80% total is MapTrack arithmetic.","category":"maintenance","year":2018,"tags":["SMRP","labour-distribution","benchmark","proactive"],"source":{"name":"SMRP Best Practices Committee (via PEMAC workshop)","url":"https://www.pemac.org/sites/default/files/2018_SMRP_BPMW_Full_Day.pdf","year":2018,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#smrp-proactive-hours-target","embedUrl":"https://www.maptrack.com/embed/stat/smrp-proactive-hours-target","attribution":"SMRP Best Practices Committee (via PEMAC workshop) (2018), \"Proactive-hours target relayed in a PEMAC workshop\". Compiled by MapTrack at https://www.maptrack.com/statistics#smrp-proactive-hours-target"},{"id":"smrp-pm-pdm-yield","stat":"1.0 / 2.5 hrs","headline":"PM and PdM yield targets relayed in a PEMAC workshop","description":"PEMAC workshop slides relaying purported SMRP best-practice targets show about 1 hour of corrective work per preventive-maintenance hour and 2.5 hours per predictive-maintenance hour. Treat these as workshop targets, not measured averages.","category":"maintenance","year":2018,"tags":["SMRP","PM","PdM","inspection-yield"],"source":{"name":"SMRP Best Practices Committee (via PEMAC workshop)","url":"https://www.pemac.org/sites/default/files/2018_SMRP_BPMW_Full_Day.pdf","year":2018,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#smrp-pm-pdm-yield","embedUrl":"https://www.maptrack.com/embed/stat/smrp-pm-pdm-yield","attribution":"SMRP Best Practices Committee (via PEMAC workshop) (2018), \"PM and PdM yield targets relayed in a PEMAC workshop\". Compiled by MapTrack at https://www.maptrack.com/statistics#smrp-pm-pdm-yield"},{"id":"downtime-automotive-hourly-2024","stat":"$2.3 million","headline":"Cost of one unproductive hour in automotive manufacturing","description":"A Siemens and Senseye vendor study estimated an unproductive hour at a large automotive plant at US$2.3 million. It reported about US$36,000 per hour for fast-moving consumer goods; these figures should not be generalised beyond the surveyed large manufacturers.","context":"Scope: Siemens / Senseye, The True Cost of Downtime 2024, report pages 2-4. The US$2.3 million figure describes an unproductive hour at a large automotive plant; the US$36,000 floor describes FMCG. The survey mainly covers large manufacturers and major heavy-industry producers.","category":"downtime-cost","year":2024,"tags":["downtime","automotive","cost-per-hour"],"source":{"name":"Siemens / Senseye, The True Cost of Downtime 2024","url":"https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","year":2024,"archiveUrl":"https://web.archive.org/web/20260811073000id_/https://assets.new.siemens.com/siemens/assets/api/uuid:1b43afb5-2d07-47f7-9eb7-893fe7d0bc59/TCOD-2024_original.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-automotive-hourly-2024","embedUrl":"https://www.maptrack.com/embed/stat/downtime-automotive-hourly-2024","attribution":"Siemens / Senseye, The True Cost of Downtime 2024 (2024), \"Cost of one unproductive hour in automotive manufacturing\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-automotive-hourly-2024"},{"id":"downtime-abb-hourly","stat":"~US$125,000","headline":"Respondent estimate of hourly industrial downtime cost","description":"In an ABB-commissioned Sapio Research survey of 3,215 plant-maintenance decision-makers, respondents estimated unplanned-downtime cost at close to US$125,000 per hour.","category":"downtime-cost","year":2023,"tags":["downtime","cost-per-hour","survey"],"source":{"name":"ABB, Value of Reliability survey (Sapio Research)","url":"https://new.abb.com/news/detail/107660/abb-survey-reveals-unplanned-downtime-costs-125-000-per-hour","year":2023,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#downtime-abb-hourly","embedUrl":"https://www.maptrack.com/embed/stat/downtime-abb-hourly","attribution":"ABB, Value of Reliability survey (Sapio Research) (2023), \"Respondent estimate of hourly industrial downtime cost\". Compiled by MapTrack at https://www.maptrack.com/statistics#downtime-abb-hourly"},{"id":"abb-outage-frequency","stat":"2 in 3","headline":"Monthly outage frequency in an ABB-commissioned survey","description":"In an ABB-commissioned Sapio Research survey of 3,215 plant-maintenance decision-makers, more than two-thirds reported unplanned outages at least monthly and 21% reported relying on run-to-fail maintenance.","category":"downtime-cost","year":2023,"tags":["downtime","outage-frequency","run-to-fail"],"source":{"name":"ABB, Value of Reliability survey (Sapio Research)","url":"https://new.abb.com/news/detail/107660/abb-survey-reveals-unplanned-downtime-costs-125-000-per-hour","year":2023,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#abb-outage-frequency","embedUrl":"https://www.maptrack.com/embed/stat/abb-outage-frequency","attribution":"ABB, Value of Reliability survey (Sapio Research) (2023), \"Monthly outage frequency in an ABB-commissioned survey\". Compiled by MapTrack at https://www.maptrack.com/statistics#abb-outage-frequency"},{"id":"doe-pdm-program-results","stat":"10× ROI","headline":"Historical survey ranges for predictive-maintenance programs","description":"A 2010 US Department of Energy guide synthesising older industry surveys reported ranges including 10 times ROI, 25-30% lower maintenance costs, 70-75% fewer breakdowns, 35-45% less downtime and 20-25% more production. These are historical survey ranges, not guaranteed current outcomes.","context":"Scope: US Department of Energy / PNNL O&M Best Practices Guide, Release 3.0, section 5.4, PDF pages 51-52. The guide attributes these industrial-average results to independent surveys and warns that predictive maintenance requires material diagnostic-equipment, training and program-development investment.","category":"maintenance","year":2010,"tags":["predictive","ROI","DOE","savings"],"source":{"name":"US Department of Energy / PNNL, O&M Best Practices Guide","url":"https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","year":2010,"archiveUrl":"https://web.archive.org/web/20260727111728id_/https://www.energy.gov/sites/prod/files/2020/04/f74/omguide_complete_w-eo-disclaimer.pdf","checkedOn":"2026-08-16","reviewedOn":"2026-08-16","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#doe-pdm-program-results","embedUrl":"https://www.maptrack.com/embed/stat/doe-pdm-program-results","attribution":"US Department of Energy / PNNL, O&M Best Practices Guide (2010), \"Historical survey ranges for predictive-maintenance programs\". Compiled by MapTrack at https://www.maptrack.com/statistics#doe-pdm-program-results"},{"id":"nist-maintenance-total-cost-us","stat":"US$222 billion a year","headline":"Total annual cost of maintenance to US discrete manufacturers","description":"Maintenance costs US discrete manufacturers about US$222 billion a year once direct maintenance spending is counted alongside the losses that follow from faults, unplanned downtime, defects and lost sales.","context":"Scope: NIST Machinery Maintenance Survey (Thomas and Weiss), published in the International Journal of Prognostics and Health Management. Mean estimate US$222.0 billion, median US$211.8 billion, in 2016 dollars. It is a total cost of maintenance, NOT a figure for waste: the components are direct maintenance US$81.6bn, lost sales US$105.0bn, unplanned downtime US$18.4bn, additional cost of faults and failures US$15.7bn, inventory US$0.8bn and defects US$0.5bn. Survey base is 71 usable responses from 85 received. US discrete manufacturing only (NAICS 321-339, excluding 324 and 325).","category":"maintenance","year":2021,"tags":["maintenance","cost","manufacturing","NIST"],"source":{"name":"NIST (Thomas and Weiss), International Journal of Prognostics and Health Management","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9890517/","year":2021,"archiveUrl":"https://web.archive.org/web/20260212155451/https://pmc.ncbi.nlm.nih.gov/articles/PMC9890517/","checkedOn":"2026-08-22","reviewedOn":"2026-08-22","verificationStatus":"source-reviewed","vintageNote":"MapTrack’s August 2026 source review found no newer equivalent NIST survey, so this 2016 baseline is the latest NIST estimate we could verify."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#nist-maintenance-total-cost-us","embedUrl":"https://www.maptrack.com/embed/stat/nist-maintenance-total-cost-us","attribution":"NIST (Thomas and Weiss), International Journal of Prognostics and Health Management (2021), \"Total annual cost of maintenance to US discrete manufacturers\". Compiled by MapTrack at https://www.maptrack.com/statistics#nist-maintenance-total-cost-us"},{"id":"nist-predictive-downtime-gap","stat":"52.7% less unplanned downtime","headline":"Unplanned downtime gap between predictive-led and reactive-led maintenance","description":"Surveyed US discrete manufacturers that lean on predictive and preventive maintenance report 52.7% less unplanned downtime and 78.5% fewer defects than those that lean on reactive maintenance.","context":"Scope: NIST Machinery Maintenance Survey (Thomas and Weiss). Respondents were split by how heavily they rely on reactive maintenance; the half relying least on it, and most on predictive and preventive, recorded the gaps above. Among that group, those weighted further toward predictive over preventive recorded a further 18.5% less unplanned downtime. Survey base is 71 usable responses from 85 received, so treat the decimal precision as an artefact of a small sample rather than a measurement guarantee. Self-reported; US discrete manufacturing only (NAICS 321-339, excluding 324 and 325).","category":"maintenance","year":2021,"tags":["maintenance","predictive","downtime","NIST"],"source":{"name":"NIST (Thomas and Weiss), International Journal of Prognostics and Health Management","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9890517/","year":2021,"archiveUrl":"https://web.archive.org/web/20260212155451/https://pmc.ncbi.nlm.nih.gov/articles/PMC9890517/","checkedOn":"2026-08-22","reviewedOn":"2026-08-22","verificationStatus":"source-reviewed","vintageNote":"MapTrack’s August 2026 source review found no newer equivalent NIST survey, so this is the latest NIST-published comparison of maintenance strategy against downtime and defect outcomes we could verify."},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#nist-predictive-downtime-gap","embedUrl":"https://www.maptrack.com/embed/stat/nist-predictive-downtime-gap","attribution":"NIST (Thomas and Weiss), International Journal of Prognostics and Health Management (2021), \"Unplanned downtime gap between predictive-led and reactive-led maintenance\". Compiled by MapTrack at https://www.maptrack.com/statistics#nist-predictive-downtime-gap"},{"id":"jll-pm-roi-545","stat":"545%","headline":"Calculated ROI of a structured preventive maintenance program","description":"A Jones Lang LaSalle model for one 14-million-square-foot telecom property portfolio calculated a 545% ROI and US$2 billion NPV over 25 years for a US$39 million annual preventive-maintenance program. It used BOMA 2000 inputs and does not establish a general ROI for mobile plant.","category":"maintenance","year":2000,"tags":["preventive","ROI","facilities"],"source":{"name":"Jones Lang LaSalle (Koo & Van Hoy), archived paper","url":"https://web.archive.org/web/2023id_/http://cdn.ifma.org/sfcdn/docs/default-source/default-document-library/determining-the-economic-value-of-preventative-maintenance.pdf","year":2000,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#jll-pm-roi-545","embedUrl":"https://www.maptrack.com/embed/stat/jll-pm-roi-545","attribution":"Jones Lang LaSalle (Koo & Van Hoy), archived paper (2000), \"Calculated ROI of a structured preventive maintenance program\". Compiled by MapTrack at https://www.maptrack.com/statistics#jll-pm-roi-545"},{"id":"swa-machinery-operator-fatalities","stat":"32%","headline":"Share of Australian worker fatalities: machinery operators and drivers","description":"Machinery operators and drivers accounted for 32% of Australian worker fatalities in 2024 (61 of 188 deaths) with a fatality rate of 6.7 per 100,000 workers, more than five times the all-occupation rate, per Safe Work Australia Key WHS Statistics 2025.","category":"compliance","year":2025,"tags":["WHS","fatalities","machinery","Australia"],"source":{"name":"Safe Work Australia, Key WHS Statistics Australia 2025","url":"https://data.safeworkaustralia.gov.au/insights/key-whs-statistics-australia/latest-release","year":2025,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#swa-machinery-operator-fatalities","embedUrl":"https://www.maptrack.com/embed/stat/swa-machinery-operator-fatalities","attribution":"Safe Work Australia, Key WHS Statistics Australia 2025 (2025), \"Share of Australian worker fatalities: machinery operators and drivers\". Compiled by MapTrack at https://www.maptrack.com/statistics#swa-machinery-operator-fatalities"},{"id":"swa-serious-claims-2024","stat":"146,700","headline":"Serious workers compensation claims in Australia in a year","description":"Safe Work Australia recorded 146,700 serious workers’ compensation claims in 2023-24 (preliminary), each involving at least one week of working time lost. Median time lost was 7.4 weeks and median compensation was $16,300.","category":"compliance","year":2025,"tags":["WHS","claims","Australia"],"source":{"name":"Safe Work Australia, Key WHS Statistics Australia 2025","url":"https://data.safeworkaustralia.gov.au/insights/key-whs-statistics-australia/latest-release","year":2025,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#swa-serious-claims-2024","embedUrl":"https://www.maptrack.com/embed/stat/swa-serious-claims-2024","attribution":"Safe Work Australia, Key WHS Statistics Australia 2025 (2025), \"Serious workers compensation claims in Australia in a year\". Compiled by MapTrack at https://www.maptrack.com/statistics#swa-serious-claims-2024"},{"id":"mx-pm-intent-gap-2026","stat":"64%; half under 40%","headline":"The gap between preventive maintenance intent and planned-work reality","description":"In a 2026 MaintainX vendor survey of 2,234 US and Canadian maintenance and operations leaders, 64% said they ran a preventive-maintenance program, while half dedicated less than 40% of time to planned work; 79% said unplanned downtime stayed the same or increased year on year.","category":"adoption-trends","year":2026,"tags":["preventive","planned-work","survey"],"source":{"name":"MaintainX, State of Industrial Maintenance 2026 (vendor survey)","url":"https://www.getmaintainx.com/state-of-industrial-maintenance-report","year":2026,"checkedOn":"2026-09-07","reviewedOn":"2026-09-07","verificationStatus":"source-reviewed"},"publicationStatus":"citable","syndicationAllowed":true,"canonicalUrl":"https://www.maptrack.com/statistics#mx-pm-intent-gap-2026","embedUrl":"https://www.maptrack.com/embed/stat/mx-pm-intent-gap-2026","attribution":"MaintainX, State of Industrial Maintenance 2026 (vendor survey) (2026), \"The gap between preventive maintenance intent and planned-work reality\". Compiled by MapTrack at https://www.maptrack.com/statistics#mx-pm-intent-gap-2026"}]}