According to the definition of ISO-8373-2012, industrial robots are those that can be automatically controlled, reprogrammed, programmed on three or more axes, and can implement process steps required by humans on fixed or mobile platforms, including but not limited to manufacturing, inspection, packaging and assembly. The Global Industrial Robot Database published by the International Federation of Robotics (IFR) provides the total number of industrial robots that meet ISO standards in more than 100 countries or regions around the world. It is currently the most authoritative database for studying robot applications and has been widely used in related research. The IFR industrial robot data mainly uses the International Standard Industry Classification (ISIC). Some industries involving a small number of robot applications are aggregated, and some major consumer industries (especially the automotive industry) are further subdivided.
CnOpenData has established a display area and data index for this data to facilitate scholars to browse.
About the source and method of IFR industrial robot data
Reprinted: About the source and method of IFR industrial robot data
Time period
1993-2019
Field display
| IFR industrial robot data field-Chinese | IFR industrial robot data field-English |
|---|---|
| Year | year |
| Industry code | industry_code |
| Industry | Industry |
| National ISO code | iso |
| Country | country |
| New Robot installations | installations |
| Robot stock | stock |
Sample data
IFR industrial robot data
< td>139 < td>2934| Year | Industry code | Industry | National ISO code | Country | New robot installations | Stock of robots in use |
|---|---|---|---|---|---|---|
| year | industry_code | Industry | iso | country | installations | stock |
| 2019 | 30 | Other vehicles | TH | Thailand | 32 | 74 |
| 2019 | F | Construction | UK | United Kingdom | 0 | 61 |
| 2019 | E | Electricity, gas, water supply | CR | Croatia | 0 | 0 |
| 2019 | 2931 | Metal (AutoParts) | PK | Pakistan | 0 | 0 |
| 2019 | 2934 | Glass (AutoParts) | HU | Hungary | 0 | 10 |
| 2019 | D | Manufacturing | BY | Belarus | 0 | 12 7 |
| 2019 | 275 | Household/domestic appliances | BR | Brazil | 0 | 116 |
| 2019 | 19 | Pharmaceuticals, cosmetics | NL | Netherlands | 10 | |
| 2019 | 262 | Computers and peripherals equipment | GR | Greece | 0 | 0 |
| 2019 | 260 | Electronic components/devices | WEU | Western Europe | 662 | 3211 |
| 2019 | 16 | Wood and furniture | NL | Netherlands | 0 | 65 |
| 2019 | P | Education/research/development | TN | Tunisia | 0 | 4 |
| 2019 | 299 | Automotive unspecified | OSAS | other South/East Asia | 0 | 0 |
| 2019 | 13-15 | Textiles | AR | Argentina | 0 | 2 |
| 2019 | 271 | Electrical machinery n.e.c. (non-automotive) | ASI | ASIA/AUSTRALIA | 8800 | 85134 |
| 2019 | 2999 | Unspecified AutoParts | BG | Bulgaria | 0 | 3 |
| 2019 | 13-15 | Textiles | DK | Denmark | 0 | 139 |
| 2019 | 17-18 | Paper | WEU | Western Europe | 335 | 2067 |
| 2019 | D | Manufacturing | KR | Rep. of Korea | 25892 | 291225 |
| 2019 | 000 | All Industries | EG | Egypt | 0 | 295 |
| 2019 | 275 | Household/domestic appliances | MO | Macau | 0 | 0 |
| 2019 | 28 | Industrial machinery | VN | Vietnam | 0 | 5 |
| 2019 | P | Education/research/development | SG | Singapore | 0 | 4 5 |
| 2019 | 262 | Computers and peripheral equipment | OEE | other Eastern Europe | 0 | 1 |
| 2019 | 24 | Basic metals | NO | Norway | 0 | 26 |
| 2019 | Glass (AutoParts) | MY | Malaysia | 0 | 0 | |
| 2019 | 293 | Automotive parts | OEU | all other European countries | 18 | 192 |
| 2019 | P | Education/research/development | VE | Venezuela | 0 | 0 |
| 201 9 | D | Manufactur ing | MA | Morocco | 0 | 718 |
| 2019 | 99 | Unspecified | BG | Bulgaria | 0 | 166 |
| 2019 | 16 | Wood and furniture | FI | Finland | 0 | 49 |
| 2019 | 2934 | Glass (AutoParts) | CR | Croatia | 0 | |
| 2019 | P | Education/research/development | OEE | other Eastern Europe | 4 | 22 |
| 2019 | 24 | Basic metals | PL | Poland | 0 | 218 |
| 2019 | C | Mining and quarrying | SG | Singapore | 0 | 12 |
| 2019 | 2939 | Other (AutoParts) | YUG | Balkan Countries | 0 | 134 |
| 2019 | 229 | Chemical products, unspecified | PT | Portugal | 0 | 0 |
| 2019 | 17-18 | Paper | NEU | Nordic Countries | 60 | 283 |
| 2019 | 291 | Motor vehicles, engines and bodies | AR | Argentina | 0 | 1457 |
| 2019 | 299 | Automotive unspecified | ID | Indonesia | 0 | 2078 |
| 2019 | 2939 | Other (AutoParts) | ROA | Rest of Africa | 0 | 15 |
| 2019 | 23 | Glass, ceramics, stone, mineral products (non-auto | BA | Bosnia-Herzegowina | 0 | 0 |
| 2019 | 91 | All other manufacturing branches | OM | Oman | 0 | 0 |
| 2019 | 2932 | Rubber and plastic (AutoParts) | HK | Hong Kong | 0 | 0 |
| 2019 | 20-21 | other chemical products n.e.c. | KR | Rep. of Korea | 0 | 16 |
| 2019 | 2934 | Glass (AutoParts) | PE | Peru | 0 | 0 |
| 2019 | P | Education/research/development | EE | Estonia | 0 | 2 |
| 2019 | 28 | Industrial machinery | PR | Puerto Rico | 0 | 1 |
| 2019 | 263 | Info communication equipment, domestic and prof. ( | QA | Quatar | 0 | 0 |
| 20 19 | 265 | Medical, precision, optical instruments | SL | Slovenia | 0 | 3 |
References
- Jiang Wei, Gong Sihao, Li Xitao, 2022: "Robot shock, capital-embodied technological progress and carbon emission reduction in manufacturing industry-theoretical analysis and empirical evidence from China", "China Industrial Economy", No. 10.
- Kong Gaowen, Liu Shasha, Kong Dongmin, 2020: "Robots and employment-an exploratory analysis based on industry and regional heterogeneity", "China Industrial Economy", No. 8.
- Wang Yongqin and Dong Wen, 2020: "How does the rise of robots affect China's labor market?-Evidence from listed manufacturing companies", "Economic Research", No. 10.
Data update frequency
Updated irregularly