According to the definition of ISO-8373-2012, an industrial robot refers to an automatically controlled, reprogrammable multipurpose manipulator that can be programmed in three or more axes, capable of performing industrial 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 comprehensive statistics on ISO-standard-compliant industrial robots across over 100 countries and regions. Recognized as the most authoritative database for robotics research, it has been widely adopted in related studies. The IFR industrial robot data primarily follows the International Standard Industrial Classification (ISIC), where industries with minimal robot applications are aggregated, while major consumer sectors (particularly the automotive industry) are further subdivided.
CnOpenData has established a dedicated data portal and indexing system for this dataset to facilitate academic exploration.
About IFR Industrial Robot Data Sources and Methodology
Reprinted: About IFR Industrial Robot Data Sources and Methodology
Time Coverage
1993-2019
Field Description
Sample Data
IFR Industrial Robot Data
References
- Jiang, Wei, Gong Sihao, Li Xitao, 2022: "Robot Impact, Capital-Embodied Technological Progress, and Manufacturing Carbon Emission Reduction: Theoretical Analysis and Empirical Evidence from China," China Industrial Economics, No. 10.
- Kong, Gaowen, Liu Shasha, Kong Dongmin, 2020: "Robots and Employment: An Exploratory Analysis Based on Industry and Regional Heterogeneity," China Industrial Economics, No. 8.
- Wang, Yongqin, Dong Wen, 2020: "How Does the Rise of Robots Affect China's Labor Market? Evidence from Manufacturing Listed Companies," Economic Research Journal, No. 10.
Data Update Frequency
Updated irregularly