Introduction

Industrial robot adoption is best understood through installations, operational stock, and geography rather than a single global growth headline. The International Federation of Robotics (IFR) reported 542,076 new industrial robots installed in 2024, while its September 2025 release rounded that total to 542,000. Those figures describe installations, not the number of robots sold by any particular supplier or the total number of robots in operation. Source

Global scale and definitions

IFR reported that worldwide installations remained above half a million units for a fourth consecutive year. Its 2025 release also reported 4,664,000 industrial robots in operational use in 2024. The distinction matters: a buyer assessing a regional supplier ecosystem should not confuse annual deployment demand with the installed base requiring maintenance, integration, and replacement parts. Source

Asia: the largest deployment region

Asia accounted for 74% of global new installations in 2024, according to IFR. China installed approximately 295,000 industrial robots and represented 54% of global deployments. Japan installed approximately 44,500 and the Republic of Korea approximately 30,600. These are deployment-market measures, not a ranking of robot manufacturers headquartered in each country. Source

The distinction between a supplier's headquarters and the location of an installation is especially important in global procurement. A robot manufactured in one country may be installed in another, and a systems integrator may serve several markets without manufacturing robots. A useful directory therefore keeps company headquarters, product category, service geography, and buyer deployment geography in separate fields.

Europe: national variation

IFR reported 85,000 industrial robot installations in Europe in 2024, including 67,800 within the European Union. Germany recorded 26,982 installations, Italy 8,783, Spain 5,100, and France 4,900. These national differences illustrate why a country-specific directory page should carry its own dated statistics instead of inheriting a generic European average. Source

KUKA robots palletizing baked goods at a bakery in Germany
KUKA robots palletizing baked goods at a bakery in Germany, an example of robot adoption spreading into European food production. Image: KUKA Roboter GmbH, Bachmann, public domain, via Wikimedia Commons.

A sourcing comparison also needs to separate manufacturers from distributors and integrators. A country may contain both domestic equipment makers and firms implementing systems imported from abroad. Counting all these firms as domestic robot manufacturers would misrepresent the supply chain.

The Americas and the United States

IFR recorded 50,100 installations across the Americas in 2024, including approximately 34,200 in the United States. The Americas figure was lower than the prior year, but it remained above 50,000 for a fourth consecutive year. The report describes regional demand, not the commercial performance of individual US robotics companies. Source

Robots installing a glass roof on the Model S line at a Tesla plant
Robots installing a laminated glass roof on the Model S line at Tesla's Fremont plant in California. Photo by Steve Jurvetson, CC BY 2.0, via Wikimedia Commons.

For buyers, a practical regional shortlist should identify the application, robot class, compatible peripherals, installation support, and maintenance availability. These procurement attributes require company-specific verification; regional installation counts cannot establish them.

What a country-by-category matrix should contain

A structured supplier matrix should include the official company name, official website, headquarters country, specific product category, product or service evidence, and a dated source URL. It should not infer a headquarters country from a domain suffix, language, trade-show participation, or the location of a reseller. If a company claims global coverage, that statement should be linked to an official service or locations page rather than assumed from a sales contact form.

For a robot hardware category, the matrix can also record whether the company offers an entire robot, a manipulator, an end effector, a perception module, or integration services. These distinctions are useful because a buyer comparing a complete automation cell with a standalone robot arm is not comparing equivalent offerings.

Conclusion

IFR's 2024 figures demonstrate a geographically uneven industrial robot deployment landscape. They do not, by themselves, identify the best supplier for any application. A transparent company directory can help bridge that gap by keeping macroeconomic statistics separate from verified company-level capabilities.

Source register