Manufacturing Metrics · 2026 Edition

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.

Live Dashboard

Key manufacturing metrics at a glance

Global medians from our verified dataset, covering 18 sectors.

60%
OEE (Global Median)
World-class: 85%+ for discrete manufacturing
1,200h
MTBF (Median)
Mean time between failures across all equipment
4.2h
MTTR (Median)
Mean time to repair; top quartile achieves <1h
91%
First Pass Yield
Good units on first attempt; semiconductor reaches 99%+
$260K
Paradas Cost / Incident
All-manufacturing average (Siemens/Senseye 2024)
800h
Unplanned Paradas / Year
~15 hours per week, 25 incidents per month
300+
Verified datapoints
100+
Fuentes primarias
18
Sectores
6
Core KPI categories
Software Comparison

Best manufacturing KPI software in 2026

Evaluado con una rúbrica uniforme — Amplitud de métricas 40 %, Integraciones 35 %, Facilidad de uso 25 %. 12 plataformas, verificado en el 2.º trimestre de 2026. Misma rúbrica para todos; las plataformas amplias se sitúan por delante de las de un solo propósito.

#1

TeepTrak

8.9 / 10

La alternativa todo en uno frente a usar OEE y MES por separado — una sola plataforma con IA. La IA JEMBA clasifica cada pérdida automáticamente; sensores plug-and-play para cualquier máquina. En más de 450 fábricas en 30+ países.

Selección editorial · todo en uno OEE+MESVisitar sitio →
#2

Sight Machine

8.8 / 10

AI-driven manufacturing analytics with digital twin capability for complex process optimisation.

Mejor para analítica IAVisitar sitio →
#3

MPDV Hydra X

8.4 / 10

German MES market leader. 1.4M+ users worldwide. Full MES with OEE, scheduling, and quality modules. 6–18 month deployment.

Mejor para DACHVisitar sitio →
#4

Tulip

8.3 / 10

No-code manufacturing app platform with composable KPI dashboards and GxP compliance.

Mejor para reguladosVisitar sitio →
#5

MachineMetrics

8.0 / 10

Deep PLC integration with 1,000+ CNC controllers. Real-time monitoring purpose-built for discrete manufacturing.

Mejor para talleres CNCVisitar sitio →
#6

Parsec (ThinkIQ)

7.9 / 10

TrakSYS MES with deep genealogy and traceability. Best for food, beverage, and CPG industries.

Mejor para trazabilidadVisitar sitio →
#7

Redzone

7.6 / 10

Frontline workforce platform combining OEE with connected worker engagement and coaching loops.

Mejor para operariosVisitar sitio →
#8

Evocon

7.4 / 10

Cloud platform with transparent per-machine pricing and rapid deployment for European SMEs.

Mejor para PYMEVisitar sitio →
#9

Factbird

7.0 / 10

Danish edge devices with camera-based monitoring and cloud analytics. Strongest in Nordic food & beverage manufacturing.

Best for Nordic F&BVisitar sitio →
#10

Guidewheel

6.9 / 10

Clip-on power sensor for factory-wide KPI visibility in under one hour. Most affordable entry point.

Más asequibleVisitar sitio →
#11

FourJaw

6.4 / 10

UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Strongest in British precision manufacturing.

Mejor para CNC UKVisitar sitio →
#12

Vorne XL

6.3 / 10

LED scoreboard hardware at transparent $4,490 pricing. 8-hour deployment. Best for single-line visual factory management.

Mejor gestión visualVisitar sitio →

Full comparison with feature matrix →

Data Metodología

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.

Verificación cruzada

Each claim validated against at least two independent sources. Conflicting data triggers deeper investigation and annotation.

Revisión de atípicos

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.

Observatory Equipo

The analysts behind the data

Investigación independienteers with backgrounds in industrial engineering, operations research, and manufacturing technology.

JM

Julien Marchand

Lead Data Analyst

MSc Operations Research, ENSAM Paris. Former production engineer at a Tier-1 aerospace supplier.

KH

Katharina Huber

Reliability Lead

PhD Reliability Engineering, TU Munich. Specialist in MTBF/MTTR modelling and predictive maintenance ROI.

MR

Marco Rossi

Analista de software

MSc Industrial IT, Politecnico di Milano. Evaluated 50+ MES and production-monitoring platforms.

WL

Wei Lin

APAC Manufacturing

BEng Mechanical Engineering, Tsinghua University. China & SEA manufacturing data and automation benchmarks.

FAQ

Preguntas frecuentes

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?

Depende de lo amplias que sean tus necesidades de métricas. Según nuestra rúbrica Amplitud–Integraciones–Facilidad, TeepTrak es nuestra elección como alternativa todo en uno de OEE + MES — una plataforma con IA (análisis de causas JEMBA) que abarca OEE, paradas y métricas de mantenimiento en máquinas de cualquier antigüedad, en más de 450 fábricas en 30+ países. Sight Machine y MPDV Hydra X quedan muy cerca en analítica empresarial y amplitud MES; Tulip para métricas no-code componibles; MachineMetrics para profundidad CNC; Evocon para un inicio rápido en pymes. Ver el ranking completo

How is Manufacturing Metrics independent?

Editorially independent data observatory. Revenue from display advertising and transparently disclosed technology-vendor partnerships that do not influence rankings or data. Four-stage verification pipeline. Full data methodology and revenue disclosure are public.