The 2026 Benchmark Report is Limble’s boldest research yet—diving into the real question: What separates organizations that truly trust their asset data from those that don’t? And how does that trust power the evolution of maintenance programs?
After years of speaking with maintenance managers, reliability engineers, and operations leaders, we recognized a pattern. Organizations were investing in enterprise asset management (EAM) systems, dashboards, and reporting tools. Yet many leaders still questioned their numbers.
Unplanned maintenance percentages felt unstable. Asset management KPIs were debated.
Cross-functional trust in asset data was inconsistent.
We needed to know why. The answer? Crystal clear: CMMS data quality isn’t just a nice-to-have—it’s the bedrock of asset performance, maintenance maturity, and real organizational trust.
At the leadership level it means EAM deployments aren’t delivering. Because the information in the CMMS, and the practices behind gathering it, isn’t dependable, funding for maintenance tools is cut off. And other capital investments are put on hold due to a lack of reliable data.
This report is designed to help leaders benchmark their current state—and understand what high-discipline teams do differently.
Why we launched this research
Over the past several years, maintenance teams have accelerated digital transformation efforts. CMMS and EAM platforms are more powerful than ever. Integration across ERP, finance, and operations systems is becoming standard.
But greater visibility has not automatically resulted in greater confidence. In many cases, scaling maintenance and asset management systems has amplified differences in maintenance data quality rather than resolving them.
We fielded this research because we saw a growing disconnect:
- Leaders want data-driven decisions.
- Teams struggle with execution discipline.
- Trust in reported metrics lags behind investment in tools.
Limble’s 2026 Benchmark Report seeks to provide a reality check, grounded in real operational data and peer comparisons, so maintenance and asset leaders can assess where they truly stand.
Who we studied and how
The 2026 Benchmark Report is based on insights from more than 200 asset-intensive organizations across industries, roles, and company sizes.
Participants included:
- Maintenance managers
- Reliability leaders
- Operations executives
- Asset management professionals
The research evaluated:
- CMMS data quality indicators
- Work capture rate
- Unplanned maintenance percentages
- Cross-functional trust in asset data
- Maintenance maturity profiles
Organizations were segmented by data discipline and maturity level to identify meaningful performance gaps. The goal was simple: To discover patterns linking maintenance data quality to measurable operational outcomes.
Findings that flip the script
The full report is packed with eye-opening charts and peer benchmarks, but here’s a sneak peek at some jaw-dropping results:
1. Data quality drives trust—by a wide margin
Only 20% of organizations say they genuinely trust their asset data across teams. Surprised? You’re not alone.
But among the data discipline leaders? Trust skyrockets to 51%.
And in low-quality environments, it plummets to a shocking 4%.
That twelvefold gap suggests trust is not primarily a reporting issue—it’s a discipline issue. If asset data is inconsistent at the execution level, skepticism at the leadership level is inevitable.
2. Work capture reveals operational truth
High-discipline teams capture a staggering 82% of all maintenance work in their CMMS.
Low-discipline teams? Just 45%. Imagine the blind spots!
Work capture rate is often treated as an administrative metric. The research shows it is a leading indicator of overall maintenance data quality. If half of maintenance work goes undocumented, asset history, cost accuracy, and failure analysis are compromised.
3. Strong data discipline correlates with lower unplanned maintenance
Organizations with rock-solid maintenance data quality slash unplanned maintenance to just 36%.
Meanwhile, low-quality organizations face a whopping 56% unplanned maintenance.
This 20-point gap connects execution discipline directly to schedule stability, downtime exposure, and overtime costs. Reducing unplanned maintenance is not only about better preventive maintenance plans. It requires reliable execution data.
4. Maintenance maturity fails to outpace data maturity
Reactive organizations average 64% unplanned maintenance and weaker data scores.
Preventive and predictive environments average 36% unplanned work and stronger data quality.
The message is simple: Maintenance maturity rises with data maturity. You cannot build a predictive program on inconsistent failure codes and incomplete work histories.
5. Enterprise scale exposes weak standards
Just 7% of enterprise maintenance leaders say they fully trust their asset data. The stakes get even higher as organizations scale.
As organizations scale, variability increases—unless governance is intentional.
Enterprise visibility amplifies inconsistency rather than fixing it. False narratives about what’s happening take root, decisions are delayed and investment can come to a screeching halt.
If you’re evaluating broader system strategy, including a new CMMS solution or expanding your tech stack to include dedicated EAM, this finding is especially relevant.
What you’ll find in the full report
These highlights only scratch the surface of what we learned. The 2026 Benchmark Report goes much deeper—and the insights might surprise you.
Inside, you’ll find:
- Detailed information by organization size and maturity
- Clear comparisons between high- and low-data-discipline teams
- Analysis of how maintenance data quality affects asset management KPIs
- Practical guidance on improving work capture rate and governance
The report also outlines best practices used by high-performing organizations, including:
- Making work capture non-negotiable
- Standardizing asset and failure data
- Reducing reactive work through execution discipline
- Treating CMMS as the system of record
The report is both diagnostic and directional.
A wake-up call for maintenance and asset management leaders
The 2026 Benchmark Report reframes CMMS data quality as a strategic lever—not a back-office detail. The findings are clear:
- Trust in asset data depends on execution discipline.
- Lower unplanned maintenance correlates with stronger maintenance data quality.
- Maintenance maturity aligns with data maturity.
- Enterprise scale magnifies weak standards.
EAM platforms and dashboards can scale visibility. They cannot correct inconsistent execution.
If leaders question your asset management KPIs, the issue may not be analytics—it may be the data beneath them.
Ready to see where your organization stands—and what the top performers are doing differently? Download the 2026 Benchmark Report and get ahead of the curve.
FAQs
Q: What is the 2026 Benchmark Report about?
A: The report analyzes how CMMS data quality influences maintenance maturity, unplanned maintenance, work capture rate, and cross-functional trust in asset data. It benchmarks over 200 organizations to identify performance gaps and best practices.
Q: Why did Limble conduct this research?
A: Limble fielded the research after observing a disconnect between investment in asset systems and trust in reported KPIs. The goal was to identify whether maintenance data quality—not analytics tools—was the limiting factor.
Q: How was the research conducted?
A: The study collected insights from more than 200 asset-intensive organizations to evaluate execution data discipline, trust indicators, and maintenance maturity levels across company sizes.
Q: What is the most surprising finding?
A: One of the most striking findings is the twelvefold gap in cross-functional trust between high and low CMMS data quality environments.
Q: How does CMMS data quality affect unplanned maintenance?
A: Organizations with stronger maintenance data quality report significantly lower unplanned maintenance percentages, suggesting execution discipline directly supports reliability outcomes.
Q: Who should read the full report?
A: Maintenance managers, reliability leaders, operations executives, and asset management professionals evaluating their current data practices or planning CMMS/EAM investments will find the benchmarking insights especially valuable.