Only 26% of Maintenance Is Preventive: UpKeep Survey

Why It Matters

Without data‑driven proof of value, preventive maintenance remains vulnerable to budget cuts, limiting cost‑efficiency and asset reliability across industries.

Key Takeaways

• Only 26% of maintenance is preventive, per UpKeep survey
• Staffing shortages and scheduling conflicts block preventive programs
• 62% cannot prove maintenance improvements with data
• ROI measurement skills lacking in 61.9% of firms
• AI adoption remains low, with 72.7% not using it

Pulse Analysis

The UpKeep survey underscores a persistent paradox in facilities management: while preventive maintenance (PM) is widely championed, execution lags dramatically. Staffing shortages and rigid scheduling create protected windows that simply do not exist for many teams, turning PM into a theoretical ideal rather than an operational reality. This structural bottleneck forces managers to prioritize reactive fixes, inflating downtime costs and eroding asset longevity. Industry leaders must therefore rethink workforce allocation and invest in flexible scheduling tools to bridge the gap between intent and practice.

Compounding the staffing challenge is a glaring deficiency in performance measurement. Only 38 % of respondents rate themselves as good or excellent at tracking maintenance metrics, and just under a quarter can confidently calculate ROI. The resulting "accountability vacuum" leaves maintenance teams unable to justify budgets or defend against cost‑cutting pressures. By quantifying outcomes—such as linking PM programs to specific uptime gains—facilities managers can translate technical improvements into financial language that resonates with C‑suite stakeholders, turning maintenance from a perceived cost center into a demonstrable profit driver.

Looking ahead, technology adoption remains tentative. Although 61.9 % of managers express enthusiasm for AI, a full 72.7 % have not moved beyond experimentation. Advanced analytics and predictive algorithms could automate scheduling, optimize labor deployment, and surface hidden ROI, but only if organizations address the underlying structural issues first. A coordinated strategy that blends workforce planning, robust data collection, and incremental AI integration will be essential for shifting the industry toward a truly preventive, data‑backed maintenance paradigm.