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Predictive Maintenance Benchmarks in Manufacturing

Aggregate outcomes from 61 documented predictive maintenance deployments in manufacturing — median reported annual savings $200K across 8 reporting deployments.

Compiled & reviewed by Peter Korpak, Founder & Chief AnalystHow we verify

Updated Mar 2026Based on 61 documented implementationsSources: vendor reports, public filings, verified submissions

Documented deployments

Industries

Vendors

Reporting outcomes

What outcomes do predictive maintenance deployments report?

Medians computed from 18 of 61 deployments whose reported figures could be parsed into comparable units. Values are as reported by the original source, not independently audited.

Outcome	Median	Range	Deployments
Reported annual savings	$200K	$20K – $45M	8
Productivity & OEE gain	9%	0.1% – 40%	5

Which vendors have the most predictive maintenance deployments?

Which industries deploy predictive maintenance?

How these numbers are computed

Population: every published predictive maintenance case study in our manufacturing corpus (61 deployments), recomputed from the database — no figure on this page is hardcoded.
Outcome medians: computed only within like-for-like buckets, and only where a reported value parses into a comparable unit. 18 of 61 deployments contributed; the rest report figures in units we cannot compare, and are excluded rather than coerced.
Source figures are as reported by vendors, public filings, and verified submissions. They are not independently audited, and vendor-reported outcomes skew optimistic — treat medians as the shape of what gets claimed, not a guarantee.

Full methodology