Maintenance KPI Benchmarks 2026: the verified numbers
Source-verified benchmarks for wrench time, planned versus reactive mix, downtime costs and preventive maintenance economics, plus the Australian machinery safety data that frames them. Every figure links to a public primary source, and the folklore benchmarks that do not survive verification are called out rather than repeated. Click “Cite this statistic” for a pre-formatted citation.
Last updated: July 2026 · 17statistics · Free to cite with attribution
Wrench time and the maintenance mix
How maintenance hours are actually spent, and where the credible targets sit. These are the KPIs that separate a planned operation from a fire-fighting one.
35% → 55%
Wrench-time lift from proper planning and scheduling
Typical average wrench time for a maintenance workforce is 35% of the day on hands-on work. Proper planning and scheduling lifts it to 55%, a 57% productivity gain, equivalent to a 20-person crew doing the work of 31, according to Doc Palmer, author of the McGraw-Hill Maintenance Planning and Scheduling Handbook.
Source: Doc Palmer CMRP, in Plant Services (2025)
~80%
Best-in-class share of maintenance hours driven proactively
SMRP best-in-class labour distribution targets put preventive maintenance at 15% of total hours, corrective work identified by PM at 15%, predictive at 15% and corrective work identified by PdM at 35%, meaning roughly 80% of hours are proactive or proactively generated.
Source: SMRP Best Practices Committee (via PEMAC workshop) (2018)
1.0 / 2.5 hrs
Corrective work generated per hour of PM and PdM at top performers
On average, top performers produce about 1 hour of corrective work for each hour of preventive maintenance, and about 2.5 hours of corrective work for each hour of predictive maintenance, a public SMRP benchmark for inspection-program yield.
Source: SMRP Best Practices Committee (via PEMAC workshop) (2018)
What downtime costs
The verified numbers behind the cost of unplanned stoppages, from the typical industrial business to the most expensive hours in heavy industry.
~$1.4 trillion
Annual cost of unplanned downtime to the 500 largest companies
Unplanned downtime costs the 500 biggest companies in the world almost $1.4 trillion a year, equal to about 11% of their combined revenues, based on the Siemens 2024 True Cost of Downtime study.
Source: Siemens / Senseye, The True Cost of Downtime 2024 (2024)
$2.3 million
Cost of one unproductive hour in automotive manufacturing
Automotive manufacturers now lose US$2.3 million for each unproductive hour, roughly double the 2019 figure, while heavy-industry downtime costs quadrupled over the same period, per the Siemens True Cost of Downtime 2024 study. The floor of the range is about $36,000 per hour in fast-moving consumer goods.
Source: Siemens / Senseye, The True Cost of Downtime 2024 (2024)
~US$125,000
Hourly cost of unplanned downtime for a typical industrial business
Unplanned downtime costs the typical industrial business close to US$125,000 per hour, based on an ABB Value of Reliability survey of 3,215 plant maintenance decision-makers conducted by Sapio Research in 2023.
Source: ABB, Value of Reliability survey (Sapio Research) (2023)
2 in 3
Industrial businesses hit by unplanned outages at least monthly
Over two-thirds of industrial businesses experience unplanned outages at least once a month, and 21% still rely on run-to-fail maintenance, according to the 2023 ABB Value of Reliability survey.
Source: ABB, Value of Reliability survey (Sapio Research) (2023)
Preventive and predictive maintenance economics
The primary-source economics of shifting from reactive to planned work. Note: the "reactive costs 3 to 9 times more" multiplier circulating online has no checkable primary source - the US DOE percentages below are what the evidence actually supports.
12-18%
Savings from preventive maintenance over run-to-failure
US Department of Energy research finds that a preventive maintenance programme saves 12 to 18% on average versus reactive run-to-failure, while predictive maintenance can push savings beyond 30 to 40%.
Source: US Department of Energy / Pacific Northwest National Laboratory (2024)
10× ROI
Average results of a functional predictive maintenance program
US Department of Energy analysis of independent industry surveys reports average results of a functional predictive maintenance program as: 10 times return on investment, 25-30% reduction in maintenance costs, 70-75% elimination of breakdowns, 35-45% reduction in downtime and 20-25% increase in production. Predictive maintenance saves 8-12% over preventive alone, and up to 30-40% versus reactive-heavy operations.
Source: US Department of Energy / PNNL, O&M Best Practices Guide (2010)
545%
Calculated ROI of a structured preventive maintenance program
A Jones Lang LaSalle engineering analysis of a 14-million-square-foot telecom property portfolio calculated an NPV of US$2 billion over 25 years for a $39 million per year preventive maintenance program, an ROI of 545%. The study dates from the early 2000s and covers facilities rather than mobile plant, but remains the most-cited PM ROI calculation in the literature.
Source: Jones Lang LaSalle (Koo & Van Hoy), archived paper (2002)
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.
$40.8 million
Tools stolen from Victorian tradies in a single year
In the year to 30 June 2025, 36,708 hand and power tools worth $40.8 million were stolen from Victorian vehicles and worksites, a 7.5% rise on the year before, based on data from the Crime Statistics Agency in Victoria.
Source: RACV, citing the Crime Statistics Agency (Victoria) (2025)
$28.6 billion
Annual cost of work-related injury to the Australian economy
Work-related injuries and illnesses cost the Australian economy about $28.6 billion a year in lost output, around 1.6% of GDP, according to Deloitte Access Economics analysis commissioned by Safe Work Australia.
Source: Deloitte Access Economics (for Safe Work Australia) (2022)
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 (2025)
146,700
Serious workers compensation claims in Australia in a year
Australian workers lodged 146,700 serious workers compensation claims in 2023-24 (preliminary), more than 400 serious claims a day, with a median 7.4 weeks of time lost and $16,300 median compensation, per Safe Work Australia Key WHS Statistics 2025.
Source: Safe Work Australia, Key WHS Statistics Australia 2025 (2025)
How teams actually run maintenance
The tooling and intent-versus-reality gap: most organisations say they run preventive programs, while their hours say otherwise.
55% / 53% / 44%
Plants managing maintenance with spreadsheets vs CMMS vs paper
In the last openly published Plant Engineering maintenance study, 55% of facilities used in-house spreadsheets and schedules to manage maintenance, 53% used a CMMS and 44% still used paper records, with respondents selecting multiple tools. Even in 2018, spreadsheets edged out dedicated systems.
Source: Plant Engineering, Maintenance Study 2018 (2018)
64% vs 40%
The gap between preventive maintenance intent and planned-work reality
Per a MaintainX survey of 2,234 maintenance and operations leaders (US/Canada, 2026), 64% say they run a preventive maintenance program, yet 50% of teams dedicate less than 40% of their time to planned work, and 79% saw unplanned downtime stay the same or increase year on year.
Source: MaintainX, State of Industrial Maintenance 2026 (vendor survey) (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
- Planning and scheduling is the single biggest lever: lifting wrench time from 35% to 55% is a 57% productivity gain without hiring anyone.
- The average facility still runs more than 55% reactive, while best-in-class targets put roughly 80% of hours on proactive or proactively generated work.
- Downtime costs the typical industrial business about US$125,000 an hour, and two-thirds of industrial businesses are hit 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.
- The intent-reality gap is the industry’s defining problem: 64% of teams say they run preventive programs, yet half spend less than 40% of their time on 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 was verified against a publicly accessible primary source before publication: government agencies (US DOE, Safe Work Australia), standards bodies (SMRP via public workshop material), named-author engineering literature, and large named surveys (Siemens, ABB). Vendor survey findings are labelled as such. Where the best available source is old, the year is shown prominently rather than hidden.
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?
US Department of Energy research puts the average facility at more than 55% reactive maintenance, while SMRP best-in-class labour-distribution targets imply roughly 80% of maintenance hours should be proactive or proactively generated (15% PM, 15% corrective-from-PM, 15% predictive, 35% corrective-from-PdM). Editorial guidance from Reliable Plant suggests keeping reactive work orders under 20%.
What is the average wrench time in maintenance?
Doc Palmer, author of the Maintenance Planning and Scheduling Handbook, puts typical average wrench time at 35% of a maintenance workforce’s day, rising to around 55% with proper planning and scheduling. That lift is equivalent to a 20-person crew doing the work of 31 people. Vendor blogs quote wider ranges, but they lack a checkable primary source.
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. The 2023 ABB Value of Reliability survey of 3,215 plant maintenance decision-makers puts the typical industrial business at close to US$125,000 per hour. The Siemens True Cost of Downtime 2024 study reports automotive manufacturers losing US$2.3 million per unproductive hour, with fast-moving consumer goods at the floor around US$36,000 per hour.
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% of them (61 deaths) at a fatality rate of 6.7 per 100,000 workers, more than five times the all-occupation rate. Australians lodged 146,700 serious workers compensation claims in 2023-24, over 400 a day.
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.
Explore related resources
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