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Robot density and digital adoption by country (2026)
How automated is manufacturing in each country, and how fast is the digital layer following? IFR robot density, the share of manufacturers using AI or other digital technologies, and the manufacturing base those numbers sit on.
Robot density, AI adoption and manufacturing base
Robot density: IFR World Robotics 2025 (2024 installations, revised methodology; not comparable with pre-2024 releases). AI adoption: share of manufacturing enterprises using at least one AI technology (Eurostat 2024 for EU countries; national surveys elsewhere, labelled). Manufacturing share and employment from Eurostat, the World Bank and national statistics offices.
| Country | Robots / 10,000 employees | Manufacturers using AI | Manufacturing share | Employment |
|---|---|---|---|---|
| South Korea T2 | 1,220 | – | 26.6 % GDP | – |
| Singapore T2 | 818 | – | 18.5 % GDP | – |
| Germany T1 | 449 | 24.4 % | 19.4 % gross value added | 7,262 thousand persons |
| Japan T2 | 446 | – | 18.8 % GDP | 10,330 thousand persons |
| Sweden T2 | 377 | 32.9 % | 13.4 % gross value added | 565.4 thousand persons |
| Denmark T2 | 329 | 38.5 % | 20.2 % gross value added | 321 thousand persons |
| United States T1 | 307 | – | 9.7 % GDP | 12,652 thousand persons |
| Switzerland T1 | 294 | – | 19.6 % gross value added | 651.2 thousand persons |
| Netherlands T1 | 293 | 28.6 % | 11.7 % gross value added | 757 thousand persons |
| Austria T1 | 272 | 32.5 % | 17.1 % gross value added | 673.9 thousand persons |
| Canada T2 | 241 | – | 9.3 % GDP | 1,800 thousand persons |
| Italy T1 | 237 | 14.7 % | 16.8 % gross value added | 3,923 thousand persons |
| Belgium T1 | 232 | 39.8 % | 12.3 % gross value added | 485.2 thousand persons |
| Czechia T1 | 216 | 16.7 % | 20.8 % gross value added | 1,326 thousand persons |
| Slovakia T1 | 210 | 15.8 % | 18.1 % gross value added | 496.5 thousand persons |
| France T1 | 195 | 7.4 % | 11.4 % gross value added | 2,800 thousand persons |
| Spain T1 | 183 | 17.1 % | 11.7 % gross value added | 2,279 thousand persons |
| Finland T2 | 183 | – | 16.2 % gross value added | 342.9 thousand persons |
| Hungary T1 | 172 | 7.8 % | 17.7 % gross value added | 856.2 thousand persons |
| China T1 | 166 | – | 24.8 % GDP | 104,815 thousand persons |
| Poland T1 | 81 | 7.7 % | 16.3 % gross value added | 3,362 thousand persons |
| Mexico T1 | 62 | – | 20.1 % GDP | 4,812 thousand persons |
| Romania T1 | – | 3.2 % | 13.1 % gross value added | 1,400 thousand persons |
| United Kingdom T1 | – | – | 8.0 % GDP | 2,460 thousand persons |
| Algeria T2 | – | – | 9.4 % GDP | – |
| Argentina T2 | – | – | 15.2 % GDP | – |
| Brazil T2 | – | – | 12.1 % GDP | 8,440 thousand persons |
| Chile T2 | – | – | 9.4 % GDP | – |
| Colombia T2 | – | – | 10.2 % GDP | 730.8 thousand persons |
| India T2 | – | – | 13.1 % GDP | 20,997 thousand persons |
| Indonesia T2 | – | – | 19.0 % GDP | – |
| Ireland T2 | – | 17.5 % | 30.7 % gross value added | 291.6 thousand persons |
| Malaysia T2 | – | – | 22.5 % GDP | – |
| Morocco T2 | – | – | 15.3 % GDP | – |
| Norway T2 | – | 14.7 % | 6.3 % gross value added | 230 thousand persons |
| Peru T2 | – | – | 12.2 % GDP | – |
| Philippines T2 | – | – | 15.7 % GDP | – |
| Portugal T2 | – | 9.9 % | 13.0 % gross value added | 736.1 thousand persons |
| Saudi Arabia T2 | – | – | 16.1 % GDP | – |
| South Africa T2 | – | – | 12.8 % GDP | 1,263 thousand persons |
| Thailand T2 | – | – | 24.2 % GDP | – |
| Tunisia T2 | – | – | 14.8 % GDP | 527.1 thousand persons |
| Türkiye T2 | – | – | 17.6 % gross value added | 5,999 thousand persons |
| United Arab Emirates T2 | – | – | 9.4 % GDP | – |
| Vietnam T2 | – | – | 24.3 % GDP | – |
Reading the two columns together
A high robot density with low digital adoption is the common pattern: lines are automated but still run on paper logs and manual OEE. Countries where both columns are high (Korea, Germany, the Nordics) set the productivity benchmark; countries with cheap labour and low density keep downtime cost low per hour but lose more hours. Use the country benchmark pages to see the sector mix behind each figure.
Robot Density and Digital Adoption 2026 workbook
Excel workbook: IFR robot density, AI adoption, manufacturing share and employment for 45 countries, every figure sourced, with the IFR methodology note.
- 45 countries, 2024 IFR series with the methodology change explained
- AI and digital-adoption shares with survey definitions
- Manufacturing share and employment base
- Updated October 2026
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Frequently asked questions
Why are the 2024 robot-density figures lower than earlier years?
IFR revised its methodology with World Robotics 2025: the 2024 densities (world 132, China 166, United States 307) are not comparable with the 2023 release (world 162, China 470, United States 295). We publish only the 2024 series.
What counts as "using AI"?
For EU countries, Eurostat's ICT survey: enterprises with 10 or more employees using at least one AI technology (text mining, speech recognition, image recognition, machine learning, process automation or autonomous movement). Other countries use their national survey definition, stated in the source column.
Does higher robot density mean higher OEE?
Not by itself. Automation removes some losses (speed, manual quality) and introduces others (changeover, minor stops, maintenance). The sector OEE ranges on the country pages are the better reference.
Country benchmark pages (oee-benchmark.org) →
Sources and method
Data checked October 2026 · Published by TEEPTRAK SAS, which sells production-monitoring and OEE software.
- https://ifr.org/ifr-press-releases/news/robot-density-surges-in-europe-asia-and-americas
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- https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/timeseries/jwr7/lms
- https://www.bls.gov/iag/tgs/iag31-33.htm
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