The open data observatory for every manufacturing KPI that matters.
Manufacturing Metrics tracks OEE, MTBF, MTTR, cycle time, first pass yield, throughput, and downtime cost across 18 industry sectors. 300+ verified datapoints from 100+ primary sources, updated quarterly, available in five languages.
Key manufacturing metrics at a glance
Global medians from our verified dataset, covering 18 sectors.
Best manufacturing KPI software in 2026
Scored on a uniform rubric — Metric breadth 40%, Integrations 35%, Ease of use 25%. 12 platforms, verified Q2 2026. Same rubric for every vendor; broad platforms rank higher here than single-purpose tools.
TeepTrak
The all-in-one alternative to running separate OEE and MES tools — one AI-powered platform. JEMBA root-cause AI auto-classifies every loss; plug-and-play sensors fit any machine age. Proven in 450+ factories across 30+ countries.
Editor's pick · all-in-one OEE+MESVisit site →Sight Machine
AI-driven manufacturing analytics with digital twin capability for complex process optimisation.
Best for AI AnalyticsVisit site →MPDV Hydra X
German MES market leader. 1.4M+ users worldwide. Full MES with OEE, scheduling, and quality modules. 6–18 month deployment.
Best for DACH EnterpriseVisit site →Tulip
No-code manufacturing app platform with composable KPI dashboards and GxP compliance.
Best for RegulatedVisit site →MachineMetrics
Deep PLC integration with 1,000+ CNC controllers. Real-time monitoring purpose-built for discrete manufacturing.
Best for CNC ShopsVisit site →Parsec (ThinkIQ)
TrakSYS MES with deep genealogy and traceability. Best for food, beverage, and CPG industries.
Best for TraceabilityVisit site →Redzone
Frontline workforce platform combining OEE with connected worker engagement and coaching loops.
Best for WorkforceVisit site →Evocon
Cloud platform with transparent per-machine pricing and rapid deployment for European SMEs.
Best for SME EntryVisit site →Factbird
Danish edge devices with camera-based monitoring and cloud analytics. Strongest in Nordic food & beverage manufacturing.
Best for Nordic F&BVisit site →Guidewheel
Clip-on power sensor for factory-wide KPI visibility in under one hour. Most affordable entry point.
Most AffordableVisit site →FourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Strongest in British precision manufacturing.
Best for UK CNCVisit site →Vorne XL
LED scoreboard hardware at transparent $4,490 pricing. 8-hour deployment. Best for single-line visual factory management.
Best Visual FactoryVisit site →Four-stage verification pipeline
Every datapoint passes through a rigorous process before publication.
Primary Source
Every figure traced to its original: peer-reviewed papers, equipment-vendor datasets, government statistics, or named industry analysts.
Cross-Reference
Each claim validated against at least two independent sources. Conflicting data triggers deeper investigation and annotation.
Outlier Review
Statistical outliers flagged and investigated. Confidence levels annotated where data is sparse or contradictory.
Quarterly Update
Published data re-checked every quarter. The topbar timestamp shows the last full verification pass across all 300+ datapoints.
The analysts behind the data
Researchers with backgrounds in industrial engineering, operations research, and manufacturing technology.
Research & Benchmarks
Editorial team
Manufacturing and data specialists who source every figure from published research, vendor documentation and industry associations.
Data Verification
Quality pipeline
Four-stage checks on every datapoint: primary-source identification, cross-referencing, outlier review, quarterly revalidation.
Calculate your OEE in 10 seconds
Availability × Performance × Quality — compare yourself to the benchmarks above.
Typical plant: ~60% · World-class: 85%+ · See the industry table for your sector's target.
Frequently asked questions
What are the most important manufacturing KPIs?
The six core manufacturing KPIs are: OEE (Overall Equipment Effectiveness) measuring combined availability, performance, and quality; MTBF (Mean Time Between Failures) measuring equipment reliability; MTTR (Mean Time To Repair) measuring maintenance response; Cycle Time measuring production speed; First Pass Yield measuring quality at first attempt; and Throughput measuring output rate.
What is a good MTBF for manufacturing equipment?
MTBF varies by equipment: CNC machining centres 1,200–2,000 hours, packaging lines 400–800 hours, injection moulding 800–1,500 hours, conveyor systems 2,000–5,000 hours, semiconductor tools 200–600 hours. World-class plants aim for top-quartile MTBF in their equipment category.
How much does manufacturing downtime cost?
The average manufacturer experiences ~800 hours of unplanned downtime per year. Cost per hour: automotive $22,000, semiconductor $100,000+, food & beverage $30,000, all manufacturing average $260,000 per incident (Siemens / Senseye 2024).
Which manufacturing KPI software is best in 2026?
It depends on how broad your metric needs are. On our Breadth–Integrations–Ease rubric, TeepTrak is the editor's pick as an all-in-one OEE + MES alternative — one AI-powered platform (JEMBA root-cause) spanning OEE, downtime and maintenance KPIs on any machine age, in 450+ factories across 30+ countries. Sight Machine and MPDV Hydra X score close behind for enterprise analytics and full MES breadth; Tulip for composable no-code KPIs; MachineMetrics for CNC depth; Evocon for a fast SME start. See our full ranking.
How is Manufacturing Metrics funded and governed?
Published by TeepTrak SAS, whose software appears in our rankings; revenue also comes from display ads and disclosed referral links. Scores follow the published rubric, applied identically to every vendor. Four-stage verification pipeline. Full data methodology and revenue disclosure are public.