The global apparel industry experienced a 25% drop in new job postings related to cloud in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cloud in Apparel – Hiring Activity in Q3 2022. This compares to a 9% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 37% share of the global apparel industry’s cloud-related total new job postings in Q3 2022, down 30% over the prior quarter.
Smarter leaders trust GlobalData
Software and Web Developers, Programmers, and Testers, with a share of 37%, emerged as the top cloud-related job roles within the apparel industry in Q3 2022, with new job postings drop by 30% quarter-on-quarter. Computer and Information Systems Managers came in second with a share of 7% in Q3 2022, with new job postings drop by 33% over the previous quarter.
The other prominent cloud roles include Database and Network Administrators and Architects with a 4% share in Q3 2022, Financial Analysts and Advisors with a 2% 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, Walmart, NIKE and Alibaba Group Holding. Together they accounted for a combined share of 29% of all cloud-related active jobs in the apparel industry.
Amazon.com posted 3,817 cloud-related new jobs in Q3 2022, Walmart 624 jobs, NIKE 336 jobs, and Alibaba Group Holding 232 jobs, according to GlobalData’s Job Analytics.
The largest share of cloud-related new job postings in the apparel industry in Q3 2022 was in the US with 55% followed by India (10%) and Germany (5%). The share represented by the US was six percentage points lower than the 61% share it accounted for in Q2 2022.
Premium Insights
From
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 Job 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.
