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Country benchmark · 2026

OEE benchmark Germany 2026: manufacturing data, sector targets and downtime cost

Name: OEE Benchmark Germany 2026: Manufacturing Data, Sector Targets, Downtime Cost
Creator: OEE Benchmark
License: https://creativecommons.org/licenses/by-sa/4.0/

The short answer: Manufacturing is 19.4% of gross value added in Germany (2025) and employs about 7,262,000 people. Robot density is 449 robots per 10,000 manufacturing employees (2024), against a world average of 132. Loaded labour cost in manufacturing is 49.5 EUR/h (2025), which is the number that turns an hour of downtime into money. Typical OEE in the country's leading sectors runs 45–90%; the sector world-class targets are in the table below.

Official manufacturing statistics for Germany, the OEE ranges that apply to its leading sectors, a downtime-cost calculator preloaded with national labour and energy costs, and the incentives that can fund a monitoring project.

Key figures

Manufacturing share

19.4

% gross value added

2025 · ec.europa.eu

Manufacturing value added

797.2

EUR bn

2025 · ec.europa.eu

Manufacturing employment

7,262

thousand persons

2025 · ec.europa.eu

Manufacturing enterprises

201,177

2023 · ec.europa.eu

Labour cost (manufacturing)

49.5

EUR per hour

2025 · ec.europa.eu

Industrial electricity price

0.237

EUR per kWh

2025-S2 · ec.europa.eu

Robot density

449

robots per 10,000 employees

2024 · ifr.org

Enterprises using AI

24.4

% of manufacturers (10+ employees)

2025 · ec.europa.eu

Leading sectors and the OEE ranges that apply

The first columns are Germany's own sector mix (Statistisches Bundesamt (Destatis)). The OEE columns are the oee-benchmark.org editorial ranges for that sector type: they are benchmarks for plants, not national statistics.

Sector	Weight	Typical OEE	World-class target	Dominant loss	A × P × Q
Motor vehicles, trailers (C29) Automotive (Tier-1 assembly)	EUR 155,935 m GVA (current prices) (2023)	70–85%	85%	Changeover & minor stops	92% × 95% × 99.5%
Machinery and equipment n.e.c. (C28) Metal fabrication / machine shop	EUR 119,739 m GVA (current prices) (2023)	45–65%	78%	Setup & idling	85% × 88% × 96%
Fabricated metal products (C25) Metal fabrication / machine shop	EUR 67,158 m GVA (current prices) (2023)	45–65%	78%	Setup & idling	85% × 88% × 96%
Food, beverages, tobacco (C10-C12) Food & beverage	EUR 60,392 m GVA (current prices) (2023)	60–80%	82%	Changeover & startup losses	90% × 93% × 98%
Computer, electronic, optical (C26) Electronics & semiconductors	EUR 60,252 m GVA (current prices) (2023)	75–90%	88%	Reduced speed & defects	93% × 96% × 99%

Downtime cost calculator: Germany defaults

Change any input and the result updates. The labour and electricity defaults are the national statistics quoted above, not your plant's figures; replace them with your own numbers for a real estimate.

Hours of unplanned downtime per monthLines or machines affectedOperators per lineLoaded labour cost per hour (EUR)Electricity price per kWh (EUR)Average load per line (kW)Lost contribution margin per hour (your figure) (EUR)

Estimated downtime cost

–

per year · – per month

labour–
energy–
lost margin–

Industrial hubs

Regions ranked by official manufacturing employment or output. Each hub page lists the plants that set the local benchmark.

Hub	Manufacturing employment	Key sectors	Notable plants
Stuttgart region (Baden-Wuerttemberg) DE11 NUTS2	604.3 thousand persons (2023) ec.europa.eu	automotive, machinery, electrical equipment	Mercedes-Benz, Bosch, Porsche, TRUMPF
Munich / Oberbayern (Bavaria) DE21 NUTS2	449.4 thousand persons (2023) ec.europa.eu	automotive, aerospace, chemicals, electronics	BMW Group, MAN Truck & Bus, Wacker Chemie
Arnsberg / South Westphalia & eastern Ruhr (NRW) DEA5 NUTS2	361.6 thousand persons (2023) ec.europa.eu	metal products, automotive suppliers, pumps & building technology	Wilo, Viega, Mubea
Duesseldorf / Lower Rhine & Ruhr (NRW) DEA1 NUTS2	354.5 thousand persons (2023) ec.europa.eu	steel, chemicals & consumer goods, machinery	thyssenkrupp Steel, Henkel, Vaillant
Karlsruhe region (Baden-Wuerttemberg) DE12 NUTS2	304.6 thousand persons (2023) ec.europa.eu	automotive, drive technology, chemicals	Mercedes-Benz, SEW-EURODRIVE, Bosch
Freiburg / Southern Baden (Baden-Wuerttemberg) DE13 NUTS2	298.7 thousand persons (2023) ec.europa.eu	sensors & automation, sanitary & fittings, machinery	SICK, Hansgrohe, Herrenknecht

Funding and incentives for monitoring projects (status October 2026)

Programmes a production-monitoring or OEE project can use. Status was checked on the operator's page in October 2026; anything we could not confirm is marked unverified.

Programme	Operator	What it funds	Status	Source
EEW Modul 3 - MSR, Sensorik und Energiemanagement-Software (Bundesfoerderung Energie- und Ressourceneffizienz)	BAFA	45% small / 35% medium / 25% large of eligible costs for sensors, control technology, ISO 50001 energy-management software incl. cloud, installation and training; max EUR 20m per applicant	open open (as read 22 Sep 2026; minimum investment not verified)	bafa.de
EEW Modul 4 Basisfoerderung	BAFA	15% small / 10% medium for equipment replacement cutting final energy by >=15%; min EUR 10,000 per measure; sensors/software NOT eligible here (routed to Modul 3)	open open (SME only)	bafa.de
Digitalbonus Bayern	Bavarian Ministry of Economic Affairs	50% of digitalisation costs (software, robotics hardware, AI, digital twins); up to EUR 7,500 Standard / EUR 30,000 Plus; firms <50 employees in Bavaria	open open - monthly quota system; reopened 1 Oct 2026, programme runs to 31 Dec 2027 (status as read 22 Sep 2026)	digitalbonus.bayern
Mittelstand Innovativ & Digital - MID-Digitalisierung (NRW)	NRW.BANK / Land NRW	max 50%, max EUR 15,000 for digital products, services and production procedures with an external provider; SMEs in NRW	open open 01.01.2026-31.12.2029 (lottery then 28-day application)	nordrhein-westfalen-foerdert.nrw
Digital Jetzt	BMWK	former federal digitalisation grant	closed closed - guideline expired 31.12.2023, portal shut 31.03.2026; do not reference	digitaljetzt-portal.de

Trade shows and events 2026–2027

Event	City	Dates	Source
HANNOVER MESSE 2027	Hannover (DE)	5-8 April 2027	hannovermesse.de
SPS - Smart Production Solutions 2026	Nuremberg (DE)	24-26 November 2026	sps.mesago.com
automatica 2027	Munich (DE), Messe Muenchen	22-25 June 2027	automatica-munich.com

Editor's note

Germany is the European reference for automation: 449 robots per 10,000 manufacturing employees, the highest in Europe, and 24% of manufacturers already use at least one AI technology. That raises the bar for what counts as a good OEE (GAE) figure in a German plant: automotive and machinery lines are usually benchmarked against the 85% world-class target rather than the 60% starting point. The cost side is equally sharp: labour at 49.5 EUR per hour and industrial electricity near 0.24 EUR per kWh, among the highest in the dataset. The EEW programme's Modul 3 funds measurement, sensors and energy-management software, which is the natural route for a monitoring project in 2026.

How to use this benchmark

Measure first. Log availability, performance and quality per line for four weeks before comparing with the sector ranges; a benchmark without your own baseline is a guess.

Compare within your sector, not with the national average. A packaging line at 72% may be world-class; a bottling line at 72% has room.

Price the gap. Use the calculator with your own labour cost and margin, then check the incentives table: several programmes fund the sensors and software that close it.

Free download

Germany OEE Benchmark Pack 2026

Excel workbook: country profile, hubs, sector OEE ranges, downtime-cost calculator and incentives, with every source linked.

Country profile and hub table with sources
Sector OEE ranges: typical, world-class, A×P×Q
Downtime-cost calculator preloaded with Germany labour and energy costs
Incentives and 2026–2027 events

You're all set ✓

Your download should start automatically. If not, click here.

Frequently asked questions

What is a good OEE in Germany?

There is no national OEE statistic: OEE is measured per line, and the useful comparison is by sector. For Germany's leading sectors the typical range is 45–90% and the world-class targets are listed above. Most plants that start measuring sit near 60%.

Where do these figures come from?

Manufacturing weight, employment, labour cost, energy price and robot density come from official statistics (Statistisches Bundesamt (Destatis), Eurostat, the World Bank and the IFR); every figure links to the page it was read from. The OEE ranges are oee-benchmark.org editorial benchmarks.

What is in the Germany benchmark pack?

An Excel workbook with the country profile and sources, the hub table, the sector OEE ranges, a downtime-cost calculator with the national defaults already filled in, and the incentives and events lists. It is free; we ask for a work email.

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Sources and method

Figures are quoted as published, with the year and unit of each source; we do not convert currencies or estimate missing values. OEE ranges follow the oee-benchmark.org editorial process. Published by TEEPTRAK SAS, which sells production-monitoring and OEE software.

Data checked October 2026