Predictive vs preventive maintenance
Preventive maintenance services assets on a fixed schedule; predictive maintenance acts on their actual measured condition, just before failure. Predictive avoids more failures with less wasted work, but needs monitoring data — so most plants use both, matched to each asset.
The three maintenance strategies
There are three broad approaches, and the difference is simply when you act. Reactive fixes things after they break. Preventive services on a fixed calendar regardless of condition. Predictive uses the asset's measured condition to act just before failure.
| Strategy | When you act | Strength | Weakness |
|---|---|---|---|
| Reactive | After failure | No upfront cost | Unplanned downtime, secondary damage |
| Preventive | Fixed schedule | Simple, avoids many failures | Replaces healthy parts; misses random faults |
| Predictive | Just before failure | Avoids failures with least wasted work | Needs monitoring data and analysis |
Pros and cons in practice
Preventive maintenance is simple and needs no sensors, but it does work that may not be needed — and still misses faults that occur between services. Predictive maintenance catches developing faults early and cuts both downtime and unnecessary work, but it requires condition data, analysis and a process to act on the findings. Its payback is strongest on critical, expensive or hard-to-access assets.
Which should you use?
It is not either/or. Match the strategy to the asset: run-to-failure for cheap, non-critical items; preventive for assets with predictable wear and low monitoring value; predictive for critical or expensive assets where failure causes major downtime, safety or quality impact — typically rotating equipment like pumps, motors, fans and compressors. Most well-run plants use all three, deliberately assigned.
Frequently asked questions
What is the difference between predictive and preventive maintenance?
Preventive maintenance services assets on a fixed schedule regardless of condition. Predictive maintenance uses the asset's actual measured condition to act just before failure — avoiding both unexpected breakdowns and unnecessary scheduled work, but requiring monitoring data and analysis.
Is predictive maintenance better than preventive?
For critical, expensive or hard-to-access assets, usually yes — it avoids more failures with less wasted work. For cheap, non-critical items, preventive or run-to-failure is more economical. Most plants use a mix, matched to each asset's criticality and failure cost.
Do I need sensors for predictive maintenance but not preventive?
Largely yes. Preventive maintenance runs on a calendar and needs no condition sensors. Predictive maintenance needs condition data — from added sensors or from existing process/historian data via analytics — plus a way to turn findings into scheduled work.
Related guides
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
AI agents for industrial maintenance
AI agents are software that can reason over plant data and take or recommend multi-step actions — triaging alerts, drafting work orders, searching manuals. What they realistically do for maintenance today, where they help, and how to start safely.
Is predictive maintenance worth it?
Predictive maintenance is worth it where failures are expensive, frequent and detectable — typically critical rotating equipment. It pays back through avoided downtime, less secondary damage and less wasted preventive work. On cheap, non-critical assets it is not worth the effort.
Software that helps
Augury
Machine health monitoring for rotating equipment using vibration and AI.
Fiix (Rockwell Automation)
Cloud CMMS with an AI assistant, now part of Rockwell.
Limble CMMS
Easy-to-adopt CMMS focused on fast technician uptake.