The global sports industry experienced an 18% drop in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Artificial Intelligence in Sports – Hiring Activity in Q3 2022. This compares to a 1% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 21% share of the global sports industry’s artificial intelligence-related total new job postings in Q3 2022, down 22% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 21%, emerged as the top artificial intelligence-related job roles within the sports industry in Q3 2022, with new job postings drop by 22% quarter-on-quarter. Data Scientists came in second with a share of 5% in Q3 2022, with new job postings drop by 15% over the previous quarter.
The other prominent artificial intelligence roles include Computer and Information Systems Managers with a 5% share in Q3 2022, Database and Network Administrators and Architects with a 4% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Amazon.com, Amazon Web Services, JPMorgan Chase and Microsoft. Together they accounted for a combined share of 30% of all artificial intelligence-related active jobs in the sports industry.
Amazon.com posted 4,613 artificial intelligence-related new jobs in Q3 2022, Amazon Web Services 3,141 jobs, JPMorgan Chase 2,240 jobs, and Microsoft 1,701 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the sports industry in Q3 2022 was in the US with 51% followed by India (13%) and the UK (5%). The share represented by the US was three percentage points lower than the 54% 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.
