Robotics in Manufacturing

Robotics statistics

Robot density statistics and where they come from

If you have seen a robot density chart in the last year, it probably says China ranks third in the world at 470 robots per 10,000 workers. That figure is now out of date, and it is wrong in a way worth understanding before you quote it.

China did not remove a single robot. It installed 54% of the world's new industrial robots in 2024 and holds the largest operational stock on earth, around 2 million units. Its density still fell from 470 to 166, and its world rank dropped from 3rd to 22nd.

The number that moved was the denominator. This page traces where each robot density figure comes from, what it actually covers, and which ones are safe to cite today.

Data covers 2023 to 2024 (IFR World Robotics 2024 and 2025). Last reviewed by a human editor before publication.

The figures and where they come from

Each figure is rated for how safely you can cite it today. Ratings judge current usability, not whether a number was ever correct.

FigureWhat it isSourceCitation ConfidenceNotes
132 per 10,000 (2024)Global average, current[A]HighThe current global figure, from World Robotics 2025 (2024 data). Use this for any claim about robot density today.
162 per 10,000 (2023)Global average, 2023[B]MediumAccurate for 2023, and a record at the time. It is now superseded. Most articles quoting a 2024 or 2025 headline are quoting this figure by mistake.
166 per 10,000, 22nd (2024)China, current[A]HighReflects China's revised manufacturing employment denominator. This is the figure to cite for China today.
470 per 10,000, 3rd (2023)China, 2023 (superseded)[B]LowDo not cite as current. IFR has superseded it. The denominator was revised, not the robot count. This is the single most-repeated stale robot density figure.
307 per 10,000, 8th (2024)United States, current[A]HighUp from 295 and 10th a year earlier. A quiet climb that almost no coverage reports.
1,220 per 10,000 (2024)Korea, current (1st)[A]HighThe clear global leader by density.
818 per 10,000 (2024)Singapore, current (2nd)[A]MediumThe figure is correct, but IFR attributes it to a small manufacturing workforce. Do not read it as Singapore being more automated than Germany.
204 per 10,000 (2024)North America, regional[A]MediumA regional average, not the United States figure (307). Mexico at 62 pulls it down, and the two get conflated constantly.

Why the numbers disagree

Robot density is a ratio: operational industrial robots divided by manufacturing employees, per 10,000. When either number is revised, the density moves even if the robot count does not.

That is exactly what happened to China. IFR attributes the change to updated labor market data from China's National Bureau of Statistics. A larger manufacturing workforce in the denominator lowered the density and pushed China from 3rd to 22nd, while its robot fleet kept growing.

Because China carries so much weight, its revision pulled the global average down with it, from 162 in the 2023 data to 132 in the 2024 data. Asia's regional average fell the same way, from 182 to 131. Both are automation statistics that dropped while automation rose.

The two IFR reports also cover different years. World Robotics 2025 reports 2024 data and was published in April 2026. World Robotics 2024 reports 2023 data. An article headlined for 2025 is usually quoting 2023 figures.

How to cite these figures

For any claim about robot density today, use the 2024 figures from World Robotics 2025: 132 global, 166 for China, 307 for the United States, 1,220 for Korea.

Name the year and the report. Writing 'IFR World Robotics 2025, 2024 data' removes almost every ambiguity, because the year in the report title is not the year of the data.

If you need China's rank, it is 22nd, not 3rd. If a source still shows China third, it is reading from the 2023 report.

Cite the denominator when it matters. Robot density counts manufacturing employees, not total employment, so a country with a small manufacturing base can post a high density without being broadly more automated.

Where people go wrong

Quoting China at 470 and third place. This is the most common error. The figure was real for 2023 and is now superseded by 166 and 22nd.

Reading Singapore's 818 as raw automation leadership. IFR itself notes the figure reflects a small manufacturing workforce. Singapore is second by density and far smaller by robot count.

Treating North America (204) as the United States (307). North America is a regional average that includes Mexico at 62, which pulls the number down. The United States figure is higher and separate.

Year-stamping the wrong data. A headline that says 2025 while quoting 470 is quoting 2023. The report year and the data year are two different things.

How we checked

Every figure on this page traces to a primary IFR press release, listed in full below with a live link. We fetched both releases and confirmed each number appears in the source text before publishing.

The Citation Confidence rating reflects how safely a figure can be quoted today, not whether it was ever correct. A figure can be accurate for its year and still rate Low as a current claim once IFR supersedes it.

We went looking for a free, machine-readable table behind these figures and did not find one. The underlying World Robotics dataset sits behind IFR's paid report, so where a number could not be confirmed in a free primary source, we left it off this page rather than pass it along.

Full source list

Primary sources, with live links. Every figure above traces to one of these.

  1. [A]International Federation of Robotics (IFR)April 8, 2026

    IFR, "Robot Density Surges in Europe, Asia and the Americas" (World Robotics 2025, 2024 data)

    https://ifr.org/ifr-press-releases/news/robot-density-surges-in-europe-asia-and-americas
  2. [B]International Federation of Robotics (IFR)November 20, 2024

    IFR, "Global Robot Density in Factories Doubled in Seven Years" (World Robotics 2024, 2023 data)

    https://ifr.org/ifr-press-releases/news/global-robot-density-in-factories-doubled-in-seven-years

Common questions

What is the current global robot density?
132 robots per 10,000 manufacturing employees, based on IFR World Robotics 2025 (2024 data). The earlier figure of 162 was for 2023 and has been superseded.
Why did China's robot density fall from 470 to 166?
China's robot count kept rising. IFR revised the denominator using updated labor market data from China's National Bureau of Statistics, which lowered the density and moved China from 3rd to 22nd in the world.
Is China still third in robot density?
No. China ranks 22nd in the 2024 data. The third-place figure comes from the 2023 report and is now out of date.
What is the robot density of the United States?
307 robots per 10,000 manufacturing employees in 2024, ranking 8th, up from 295 and 10th in 2023. North America as a region is lower at 204 because it includes Mexico at 62.
Which robot density figures are safe to cite?
The 2024 figures from IFR World Robotics 2025: 132 global, 166 China, 307 United States, 1,220 Korea, 818 Singapore. Always name the report and the data year.