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Maintenance KPI Benchmarks 2026: evidence and limits

A 2010 US Department of Energy guide reproduces circa-2000 evidence with more than 55% of maintenance activity reactive. PEMAC workshop slides relay targets whose categories sum to roughly 80% proactive or proactively generated hours, while Doc Palmer uses 35% and 55% wrench-time inputs in a practitioner model.

MapTrack compiled the 17 figures on this page from 12 published sources. Each one is shown with the organisation that published it, the publication year and the source page MapTrack reviewed. Review status and material scope limits are shown with each figure.

Source-reviewed evidence for wrench time, maintenance mix, downtime and preventive-maintenance economics, plus Australian machinery safety data. The collection mixes official counts, historical guides, author models and vendor surveys; each figure states its source type and limits. Folklore benchmarks that do not survive review are called out rather than repeated. Click “Cite this statistic” for a pre-formatted citation.

Last updated: September 2026 · 17statistics · Free to cite with attribution

Lachlan McRitchie

Lachlan McRitchie

GM of Operations

Published 12 July 2026

Wrench time and the maintenance mix

Historical facility evidence and practitioner or workshop targets, labelled so they are not mistaken for current measured norms.

35% → 55%

Modelled wrench-time target in maintenance-planning guidance

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.

Source: Doc Palmer CMRP, in Plant Services () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#wrench-time-planning-gain

> 55%

Reactive share in a historical US maintenance benchmark

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.

Source: US Department of Energy / PNNL, O&M Best Practices Guide () · archived copy · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#reactive-share-average

~80%

Proactive-hours target relayed in a PEMAC workshop

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.

Source: SMRP Best Practices Committee (via PEMAC workshop) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#smrp-proactive-hours-target

1.0 / 2.5 hrs

PM and PdM yield targets relayed in a PEMAC workshop

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.

Source: SMRP Best Practices Committee (via PEMAC workshop) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#smrp-pm-pdm-yield

What downtime costs

Vendor-study estimates and respondent estimates for unplanned stoppages, with sector and sample limitations shown.

~$1.4 trillion

Annual cost of unplanned downtime to the 500 largest companies

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.

Source: Siemens / Senseye, The True Cost of Downtime 2024 () · archived copy · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#downtime-fortune500-annual

$2.3 million

Cost of one unproductive hour in automotive manufacturing

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.

Source: Siemens / Senseye, The True Cost of Downtime 2024 () · archived copy · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#downtime-automotive-hourly-2024

~US$125,000

Respondent estimate of hourly industrial downtime cost

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.

Source: ABB, Value of Reliability survey (Sapio Research) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#downtime-abb-hourly

2 in 3

Monthly outage frequency in an ABB-commissioned survey

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.

Source: ABB, Value of Reliability survey (Sapio Research) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#abb-outage-frequency

Preventive and predictive maintenance economics

Historical guide ranges and one portfolio-specific model. The "reactive costs 3 to 9 times more" multiplier has no checkable primary source and is not published as fact.

12–18%

Cost savings from preventive vs reactive maintenance

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.

Source: US Department of Energy, Federal Energy Management Program, O&M Best Practices Guide Release 3.0 (p.5.3) () · archived copy · source reviewed, not independently verified

Release 3.0 (August 2010) is the current edition of the DOE guide; no later release has been published.

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#pm-savings

10× ROI

Historical survey ranges for predictive-maintenance programs

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.

Source: US Department of Energy / PNNL, O&M Best Practices Guide () · archived copy · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#doe-pdm-program-results

545%

Calculated ROI of a structured preventive maintenance program

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.

Source: Jones Lang LaSalle (Koo & Van Hoy), archived paper () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#jll-pm-roi-545

Australian machinery, safety and loss data

The Australian numbers that frame why maintenance and inspection discipline matters here: machinery operators carry a fatality rate five times the national average.

AU$28.6 billion

Modelled annual output forgone from Australian workplace harm

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.

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#workplace-injury-cost-au

$40.8 million

Tools stolen from Victorian tradies in a single year

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.

Source: RACV, citing the Crime Statistics Agency (Victoria) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#theft-vic-tradie-tools

32%

Share of Australian worker fatalities: machinery operators and drivers

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.

Source: Safe Work Australia, Key WHS Statistics Australia 2025 () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#swa-machinery-operator-fatalities

146,700

Serious workers compensation claims in Australia in a year

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.

Source: Safe Work Australia, Key WHS Statistics Australia 2025 () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#swa-serious-claims-2024

How teams actually run maintenance

A historical manufacturing technology survey and a 2026 vendor survey of stated maintenance practice.

45%

Facilities still running on spreadsheets and paper

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.

Source: Plant Engineering Maintenance Study () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#spreadsheet-still-dominant

64%; half under 40%

The gap between preventive maintenance intent and planned-work reality

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.

Source: MaintainX, State of Industrial Maintenance 2026 (vendor survey) () · source reviewed, not independently verified

Cite as: MapTrack Industry Statistics, https://www.maptrack.com/statistics/maintenance-kpi-benchmarks-australia#mx-pm-intent-gap-2026

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Benchmarks we deliberately do not publish

Several “standard” maintenance benchmarks circulate endlessly through vendor blogs that cite each other rather than a primary source. We checked. These are the ones that did not survive verification, and why:

“World-class maintenance cost is 2-3% of Replacement Asset Value”

No open primary source exists. SMRP’s actual %RAV metric targets are members-only, and the one authoritative public treatment (reliability author Ron Moore) argues against using %RAV as a cross-industry benchmark at all, offering only a caveated single-industry example. If a vendor quotes a universal %RAV target, ask where it came from.

“Reactive maintenance costs 3 to 9 times more than planned”

The 3x/5x/9x multipliers have no checkable primary. The US DOE guide usually pointed at actually reports 12-18% savings for preventive over reactive, and 30-40% opportunity versus reactive-heavy operations - material, but not a 9x multiple. We publish the DOE percentages above instead.

“Industry-standard MTBF and MTTR norms”

No credible cross-industry public benchmark exists. SMRP defines the metrics, but values are asset-class and duty-cycle specific. Track your own MTBF/MTTR trend lines against your own history - a universal target number is a red flag, not a benchmark.

Key findings

  • Doc Palmer’s practitioner model uses a move from 35% to 55% wrench time to illustrate a 57% productivity gain. It is guidance and arithmetic, not a measured causal result.
  • A 2010 DOE guide reproduces circa-2000 evidence above 55% reactive; PEMAC workshop slides relay targets that sum to roughly 80% proactive or proactively generated hours.
  • In an ABB-commissioned survey, respondents estimated about US$125,000 per downtime hour and more than two-thirds reported an unplanned outage at least monthly.
  • Machinery operators and drivers carry 32% of Australian worker fatalities at more than five times the all-occupation rate - inspection and maintenance discipline is a safety program, not just a cost program.
  • In a MaintainX vendor survey of 2,234 US and Canadian leaders, 64% said they ran preventive programs while half dedicated less than 40% of time to planned work.
  • Several famous benchmarks (%RAV targets, the 3-9x reactive multiplier, universal MTBF norms) have no verifiable primary source and should not be used for decisions.

Methodology

Every statistic on this page links to a publicly accessible source and carries a dated source review. The collection includes official data, historical guides, practitioner models, vendor studies and workshop slides relaying purported targets. These are different evidence types, so each figure states its sample, vintage and limits. A source review is not an independent replication.

Commonly repeated figures that could not be traced to a checkable primary source are listed in the “benchmarks we do not publish” section rather than repeated. Statistics are reviewed quarterly; monetary figures are shown in their original reported currency.

Frequently asked questions

What is a good planned vs reactive maintenance ratio?

A 2010 US Department of Energy guide reproduces circa-2000 evidence with more than 55% of maintenance activity reactive. PEMAC workshop slides relay purported SMRP targets whose four categories sum to roughly 80% proactive or proactively generated hours. These are historical evidence and workshop targets, not a current universal benchmark.

What is the average wrench time in maintenance?

Maintenance-planning author Doc Palmer uses 35% average wrench time and a 55% planned-and-scheduled target to model a 57% productivity gain. Treat it as practitioner guidance and arithmetic, not a measured causal study or universal target.

Is there a credible maintenance cost as a percentage of RAV benchmark?

Not publicly. The widely quoted "2-3% of Replacement Asset Value is world class" figure has no open primary source: SMRP’s actual metric targets are members-only, and reliability author Ron Moore argues against using %RAV as a cross-industry benchmark at all. We deliberately do not publish a universal %RAV target on this page.

How much does unplanned downtime cost per hour?

It depends heavily on industry and study method. ABB’s 2023 Value of Reliability survey recorded a respondent estimate close to US$125,000 per hour. A separate 2024 Siemens and Senseye vendor study reports US$2.3 million for an unproductive hour at a large automotive plant and about US$36,000 for fast-moving consumer goods.

What do Australian machinery safety statistics show?

Safe Work Australia’s Key WHS Statistics 2025 reports 188 worker fatalities in 2024, with machinery operators and drivers accounting for 32% (61 deaths) at 6.7 fatalities per 100,000 workers. It recorded 146,700 serious workers’ compensation claims in 2023-24 (preliminary), each involving at least one week of working time lost.

How often are these benchmarks updated?

Quarterly. Every statistic links to its original public source with the publication year shown. Where a load-bearing source is old (the US DOE O&M guide dates from 2010, the JLL PM ROI study from the early 2000s) we date it visibly rather than passing it off as current, and we replace figures when newer verifiable data is published.

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