The global apparel industry experienced a 29% drop in new job postings related to robotics in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Robotics in Apparel – Hiring Activity in Q3 2022. This compares to a 19% increase versus Q3 2021.

Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 11% share of the global apparel industry’s robotics-related total new job postings in Q3 2022, down 57% 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 11%, emerged as the top robotics-related job roles within the apparel industry in Q3 2022, with new job postings drop by 57% quarter-on-quarter. Computer and Information Systems Managers came in second with a share of 8% in Q3 2022, with new job postings drop by 26% over the previous quarter.

The other prominent robotics roles include Miscellaneous Engineers with a 5% share in Q3 2022, Maintenance and Repair Workers, General with a 3% share of new job postings.

Top five companies in apparel industry accounted for 29% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Amazon.com, Target, StockX and Rakuten Group. Together they accounted for a combined share of 29% of all robotics-related active jobs in the apparel industry.

Amazon.com posted 851 robotics-related new jobs in Q3 2022, Target 100 jobs, StockX 64 jobs, and Rakuten Group 29 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 70% share of total active job postings, Q3 2022

The largest share of robotics-related new job postings in the apparel industry in Q3 2022 was in the US with 70% followed by India (8%) and Japan (4%). The share represented by the US was four percentage points lower than the 74% share it accounted for in Q2 2022.

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.