AI Manufacturing Benchmarks
Aggregate outcomes computed from published manufacturing case studies: medians, ranges and sample sizes per use case, recomputed as the directory grows. Original statistics, not survey estimates.
Computed on
- Maintained by
- Peter KorpakLead Editor
- Methodology
- How evidence is checked
4
Benchmark sets
660
Documented deployments
Process Optimization
415deploymentsMedian output & capacity gain 40% across 5 reporting deployments
Quality Control & Inspection
122deploymentsMedian defect & scrap reduction 40.5% across 6 reporting deployments
Energy Management
63deploymentsPredictive Maintenance
60deploymentsHow these statistics are built
- Population: published manufacturing case studies that cite an http(s) source.
- Each deployment counts once. Repeated write-ups of the same deployment are merged.
- A statistic is published only with at least 5 deployments from at least 3 distinct sources, and only from comparable observed figures.
- Outcomes are as reported by the source and are not independently audited.
- Vendor concentration: the most-represented published vendor accounts for 31–92% of case records per benchmark set (highest: Rockwell Automation in Energy Management).