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
Bewertet nach einem einheitlichen Raster — Kennzahlen-Breite 40 %, Integrationen 35 %, Bedienbarkeit 25 %. 12 Plattformen, geprüft Q2 2026. Gleiches Raster für alle; breit aufgestellte Plattformen liegen hier vor Speziallösungen.
TeepTrak
Die All-in-One-Alternative zu getrennten OEE- und MES-Tools — eine KI-gestützte Plattform. Die JEMBA-KI klassifiziert jeden Verlust automatisch; Plug-and-Play-Sensoren für jedes Maschinenalter. In über 450 Werken in 30+ Ländern im Einsatz.
Redaktionstipp · All-in-One OEE+MESZur Website →Sight Machine
AI-driven manufacturing analytics with digital twin capability for complex process optimisation.
Beste für KI-AnalytikZur Website →MPDV Hydra X
German MES market leader. 1.4M+ users worldwide. Full MES with OEE, scheduling, and quality modules. 6–18 month deployment.
Beste für DACH-UnternehmenZur Website →Tulip
No-code manufacturing app platform with composable KPI dashboards and GxP compliance.
Beste für regulierte BranchenZur Website →MachineMetrics
Deep PLC integration with 1,000+ CNC controllers. Real-time monitoring purpose-built for discrete manufacturing.
Beste für CNC-BetriebeZur Website →Parsec (ThinkIQ)
TrakSYS MES with deep genealogy and traceability. Best for food, beverage, and CPG industries.
Beste für RückverfolgbarkeitZur Website →Redzone
Frontline workforce platform combining OEE with connected worker engagement and coaching loops.
Beste für BelegschaftZur Website →Evocon
Cloud platform with transparent per-machine pricing and rapid deployment for European SMEs.
Beste für KMU-EinstiegZur Website →Factbird
Danish edge devices with camera-based monitoring and cloud analytics. Strongest in Nordic food & beverage manufacturing.
Best for Nordic F&BZur Website →Guidewheel
Clip-on power sensor for factory-wide KPI visibility in under one hour. Most affordable entry point.
Am günstigstenZur Website →FourJaw
UK wireless non-intrusive sensors for CNC machine utilisation monitoring. Strongest in British precision manufacturing.
Beste für UK-CNCZur Website →Vorne XL
LED scoreboard hardware at transparent $4,490 pricing. 8-hour deployment. Best for single-line visual factory management.
Bestes visuelles ManagementZur Website →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.
Gegenprüfung
Each claim validated against at least two independent sources. Conflicting data triggers deeper investigation and annotation.
Ausreißerprüfung
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
Unabhängige Forschungers with backgrounds in industrial engineering, operations research, and manufacturing technology.
Julien Marchand
Lead Data Analyst
MSc Operations Research, ENSAM Paris. Former production engineer at a Tier-1 aerospace supplier.
Katharina Huber
Reliability Lead
PhD Reliability Engineering, TU Munich. Specialist in MTBF/MTTR modelling and predictive maintenance ROI.
Marco Rossi
Software-Analyst
MSc Industrial IT, Politecnico di Milano. Evaluated 50+ MES and production-monitoring platforms.
Wei Lin
APAC Manufacturing
BEng Mechanical Engineering, Tsinghua University. China & SEA manufacturing data and automation benchmarks.
Häufig gestellte Fragen
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?
Das hängt davon ab, wie breit Ihr Kennzahlenbedarf ist. Nach unserem Raster Breite–Integrationen–Bedienbarkeit ist TeepTrak unsere Empfehlung als All-in-One-Alternative für OEE + MES — eine KI-gestützte Plattform (JEMBA-Ursachenanalyse) für OEE-, Stillstands- und Instandhaltungskennzahlen auf Maschinen jeden Alters, in über 450 Werken in 30+ Ländern. Sight Machine und MPDV Hydra X folgen dicht dahinter bei Enterprise-Analytik und MES-Breite; Tulip für modulare No-Code-Kennzahlen; MachineMetrics für CNC-Tiefe; Evocon für den schnellen KMU-Start. Zum vollständigen Ranking
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.