The global sports industry experienced a 41% drop in new job postings related to blockchain in Q2 2023 compared with the previous quarter, according to GlobalData’s Job Analytics. This compares to a 45% decrease versus Q2 2022. Buy the report here.

Notably, Computer and Mathematical Occupations jobs accounted for a 28% share of the global sports industry’s blockchain-related total new job postings in Q2 2023, down 41% over the prior quarter.

Computer and Mathematical Occupations drive blockchain-related hiring activity

Computer and Mathematical Occupations, with a share of 28%, emerged as the top blockchain-related job roles within the sports industry in Q2 2023, with new job postings drop by 41% quarter-on-quarter. Management Occupations came in second with a share of 17% in Q2 2023, with new job postings dropping by 45% over the previous quarter.

The other prominent blockchain roles include Business and Financial Operations Occupations with a 9% share in Q2 2023, Architecture and Engineering Occupations with a 2% share of new job postings.

Top five companies in sports industry accounted for 39% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Ernst & Young Global, Binance, Deloitte Touche Tohmatsu, International Business Machines, and Acronis International. Together they accounted for a combined share of 39% of all blockchain-related new jobs in the sports industry.

Ernst & Young Global posted 199 blockchain-related new jobs in Q2 2023, Binance 189 jobs, Deloitte Touche Tohmatsu 104 jobs, International Business Machines 100 jobs, and Acronis International 78 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 25.34% share of total new job postings, Q2 2023

The largest share of blockchain-related new job postings in the sports industry in Q2 2023 was in the US with 25.34% followed by India (14.60%) and Germany (8.97%). The share represented by the US was 0 percentage points lower than the 25.75% share it accounted for in Q1 2023.

This content was updated on 24 July 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.