Discover the 2025 benchmarks for CMMS performance used by high-performing maintenance teams. Learn what metrics define success and how to measure your operation against industry standards.

Most maintenance teams know their CMMS should be driving better planning, clearer insights and fewer breakdowns. But in 2025, the gap between companies who use their CMMS well and those who don't has widened dramatically.
The leaders have real-time visibility, accurate asset histories, automated reporting and data that supports evidence-based decisions.
The laggards still fight their CMMS every week—missing data, inconsistent fields, no PM compliance visibility and endless manual reports.
This guide defines what "good" CMMS performance actually looks like in 2025, how to measure it and what metrics real plants use to benchmark their performance.
It is designed for:
For most plants, maintenance spend is increasing while technical labour is getting harder to find. Operating environments are harsher, regulatory requirements are stricter and plants are expected to hit higher OEE with smaller teams.
Benchmarking gives teams:
In a data-driven world, CMMS performance IS maintenance performance. If the system is inaccurate, incomplete or slow, the whole department suffers.
Based on cross-industry trends, high-performing plants in 2025 share the same characteristics.
Below are the core benchmarks used to evaluate whether a CMMS is delivering value.
Preventive Maintenance (PM) completion rate is the first benchmark most leaders review.
In high-performing plants:
Low performers experience:
2025 Benchmark: 80–90% PM compliance, <2% overdue critical PMs
Reactive work is the clearest indicator of maintenance maturity.
High-performing teams operate with:
Plants stuck above 50–60% reactive spend more time firefighting than improving.
2025 Benchmark: <30% reactive work for stable operations
A healthy backlog:
Too little backlog means under-reporting or poor utilisation of the CMMS. Too much backlog signals labour shortages, planning failures or PM overload.
2025 Benchmark: 4–6 weeks total backlog, fully prioritised
High-performing teams monitor:
Plants with mature CMMS usage can identify the top 10 cost drivers within minutes, not days.
2025 Benchmark: Visibility of asset cost & failure trends at least monthly
Work order quality is the hidden killer of maintenance analytics. Benchmarking here covers:
Without quality data, asset strategies collapse.
2025 Benchmark: 90%+ of work orders meet quality standards
High-performing teams track schedule compliance weekly, not monthly.
Good performance means:
2025 Benchmark: 75–85% schedule compliance for steady-state operations
The best teams automate:
If a planner spends more than 2–3 hours a week on CMMS data cleaning, the system is not enabling them—it's slowing them down.
2025 Benchmark: <1 hour per week spent preparing reports
This is the exact benchmarking process used by high-performing maintenance teams.
Every CMMS, whether SAP PM, Maximo, MEX, UpKeep, Fiix or Maintenance Connection, has these exports:
You cannot benchmark without these.
Review:
If the CMMS data is wrong, benchmark results will be distorted.
Benchmark the following:
Create a simple table:
| KPI | Your Value | 2025 Benchmark | Result |
|---|---|---|---|
| PM Compliance | 62% | 80–90% | Below target |
| Reactive Work | 48% | <30% | Needs intervention |
| Backlog | 12 weeks | 4–6 weeks | Overloaded |
| Schedule Compliance | 72% | 75–85% | Close |
| WO Quality | 74% | >90% | Needs training |
This instantly highlights bottlenecks.
Most issues come from:
Pick 3–5 KPIs that matter most.
Example:
Then assign weekly actions.
From reviewing top-performing plants globally, these habits repeatedly show up.
No parallel spreadsheets. No shadow maintenance logs. No "I'll fix it later" data entry.
Planners are not technicians or "catch-all" roles. Their job is planning, scheduling and analysis—full stop.
Leading teams review KPIs every week:
Because monthly data comes too late.
Reporting, data cleanup and downtime summaries are automated so planners can focus on improvement.
Monthly or quarterly:
Nothing improves without regular review.
Fix work order quality before benchmarking.
Seasonal shutdowns or labour shortages change baselines.
More PMs does not mean better reliability. It often creates backlog chaos.
Focus on the 8–10 that drive business outcomes.
Maintenance cannot hit targets alone—operators must own basic care.
| Area | 2025 Benchmark |
|---|---|
| PM Compliance | 80–90% |
| Critical PM Overdue | <2% |
| Reactive Work | <30% |
| Backlog | 4–6 weeks |
| Schedule Compliance | 75–85% |
| Work Order Quality | >90% |
| Reporting Time | <1 hour per week |
| Asset Visibility | Monthly review of top 10 cost drivers |
If you're spending hours each week extracting CMMS data, validating work orders, and building benchmarking reports manually, LeanReport automates the entire process.
Upload your CMMS export and get:
Reduce your benchmarking time from days to minutes. Start your 14-day free trial or learn more about how it works.
Ready to benchmark your CMMS performance and drive real improvement? Start your free trial and see where your operation stands.
High-performing plants maintain 80–90% PM compliance overall, with less than 2% of critical PMs overdue. This balance ensures preventive work gets done without creating unmanageable backlogs. Plants below 70% typically struggle with reactive firefighting and should prioritise PM schedule optimisation and planner capacity.
Industry benchmarks for 2025 suggest keeping reactive work below 20–30% of total maintenance effort. Plants operating above 50% reactive work spend most of their time firefighting rather than improving reliability. Reducing reactive work requires better PM programs, operator basic care, and early failure detection.
4–6 weeks of fully prioritised, ready-to-schedule work is considered healthy. Too little backlog (under 2 weeks) suggests under-reporting or poor CMMS utilisation. Too much backlog (over 8 weeks) indicates labour shortages, planning failures, or PM overload. The key is ensuring all backlog work is properly scoped and prioritised.
Start with mandatory field requirements for work order closure—asset ID, failure code, downtime, labour hours, and parts consumed. Train technicians on why data quality matters and conduct weekly audits to identify incomplete records. Many teams see 20–30% improvement within 90 days by making work order quality a visible weekly metric.
You should fix work order quality before benchmarking, otherwise your results will be distorted. Start by validating a recent month of data—check for missing failure codes, incorrect statuses, and incomplete fields. Once you achieve 80%+ data quality, your benchmarks will be meaningful and actionable.
Leading teams review core KPIs weekly (PM compliance, backlog, schedule compliance, reactive work) and conduct deeper monthly reviews (cost trends, failure analysis, PM optimisation). Monthly-only reviews come too late to prevent performance drift. Weekly reviews enable rapid course correction and keep improvement momentum high.

Founder - LeanReport.io
Rhys is the founder of LeanReport.io with a unique background spanning marine engineering (10 years with the Royal New Zealand Navy), mechanical engineering in process and manufacturing in Auckland, New Zealand, and now software engineering as a full stack developer. He specializes in helping maintenance teams leverage AI and machine learning to transform their CMMS data into actionable insights.
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