The global sports industry experienced a 9% drop in new job postings related to robotics in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Robotics in Sports – Hiring Activity in Q3 2022. This compares to a 4% increase versus Q3 2021.

Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 13% share of the global sports industry’s robotics-related total new job postings in Q3 2022, down 30% over the prior quarter.

Software and Web Developers, Programmers, and Testers drive robotics-related hiring activity

Software and Web Developers, Programmers, and Testers, with a share of 13%, emerged as the top robotics-related job roles within the sports industry in Q3 2022, with new job postings drop by 30% quarter-on-quarter. Miscellaneous Engineers came in second with a share of 7% in Q3 2022, with new job postings rising by 33% over the previous quarter.

The other prominent robotics roles include Computer and Information Systems Managers with a 3% share in Q3 2022, Database and Network Administrators and Architects with a 3% share of new job postings.

Top five companies in sports industry accounted for 13% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were, Verizon Communications, Nokia and Johnson & Johnson. Together they accounted for a combined share of 13% of all robotics-related active jobs in the sports industry. posted 851 robotics-related new jobs in Q3 2022, Verizon Communications 344 jobs, Nokia 291 jobs, and Johnson & Johnson 287 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 56% share of total active job postings, Q3 2022

The largest share of robotics-related new job postings in the sports industry in Q3 2022 was in the US with 56% followed by India (12%) and the UK (4%). The share represented by the US was two percentage points higher than the 53% share it accounted for in Q2 2022.

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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.