The global sports industry experienced a 37% drop in new job postings related to robotics in Q3 2023 compared with the previous quarter, according to GlobalData’s Job Analytics. This compares to a 39% decrease versus Q3 2022. Buy the report here.
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Notably, Computer and Mathematical Occupations jobs accounted for a 20% share of the global sports industry’s robotics-related total new job postings in Q3 2023, down 16% over the prior quarter.
Computer and Mathematical Occupations drive robotics-related hiring activity
Computer and Mathematical Occupations, with a share of 20%, emerged as the top robotics-related job roles within the sports industry in Q3 2023, with new job postings drop by 16% quarter-on-quarter. Architecture and Engineering Occupations came in second with a share of 15% in Q3 2023, with new job postings rising by 3% over the previous quarter.
The other prominent robotics roles include Management Occupations with a 9% share in Q3 2023, Installation, Maintenance, and Repair Occupations with a 6% share of new job postings.
Top five companies in sports industry accounted for 26% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2023 were Amazon, ABB, Tesla, Robert Bosch, and International Business Machines. Together they accounted for a combined share of 26% of all robotics-related new jobs in the sports industry.
Amazon posted 460 robotics-related new jobs in Q3 2023, ABB 410 jobs, Tesla 375 jobs, Robert Bosch 189 jobs, and International Business Machines 177 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 53.60% share of total new job postings, Q3 2023
The largest share of robotics-related new job postings in the sports industry in Q3 2023 was in the US with 53.60% followed by India (12.34%) and Mexico (3.92%). The share represented by the US was 13 percentage points higher than the 41.06% share it accounted for in Q2 2023.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Jobs Analytics uses machine learning to uncover key insights from tracking daily job postings for thousands of companies globally. Proprietary analysis is used to group jobs into key thematic areas and granular sectors across the world’s largest industries. classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
