The Chinese sports industry experienced 0.4% drop in new job postings in Q2 2023 compared with the previous quarter, with the highest share accounted for by Marriott International with 7,183 job postings according to GlobalData’s analysis of sports company job postings. GlobalData’s Sport Trends and Predictions 2023 report analyses significant trends that influence the sport sector. It provides insights into the market landscape, financial growth prospects, and the current outlook for the future of trends such as cryptocurrency and the metaverse. Buy the report here.

Notably, Management Occupations jobs accounted for an 11% share of the Chinese’s sports industry new job postings in Q2 2023, down by 14% over the prior quarter.

Management Occupations drive sports hiring activity

Of the industry's total hiring activity, the highest number of new job postings were for Management Occupations, which accounted for 11% of the total new job postings in Q2 2023 and were down by 30% year-on-year. Second highest were Office and Administrative Support Occupations, which accounted for 6% and rise by 10% year-on-year, and third highest were Healthcare Practitioners and Technical Occupations, which were 16% of the new job postings and 22% higher year-on-year.

Top five companies in sports accounted for 50% of hiring activity

The highest number of jobs were posted by Marriott International with 7,183, followed by Alibaba Group with 2,915, while the highest increase was at Beijing Kuaishou Technology at 93%.

For further understanding of GlobalData's Sport Trends and Predictions 2023 – Thematic Intelligence, buy the report here.

This content was updated on 24 July 2023

Premium Insights


The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.


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.