The proportion of apparel supply chain companies hiring for machine learning-related positions rose in April compared with the equivalent month last year, with 31.2% of the companies included in GlobalData analysis recruiting for at least one such position.
This latest figure was higher than the 25% of companies who were hiring for machine learning-related jobs a year ago but a decrease compared to the figure of 50% in March.
When it came to the rate of all job openings that were linked to machine learning, related job postings dropped in April, with 0.2% of newly posted job advertisements being linked to the topic.
This latest figure was the same as the 0.2% of newly advertised jobs that were linked to machine learning in the equivalent month a year ago.
Machine learning is one of the topics that GlobalData, from whom the data for this article is taken, has identified as being a key disruptive force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.
Analysis of the data shows apparel supply chain companies are currently hiring for machine learning jobs at a rate lower than the average for all companies within GlobalData's job analytics database. The average among all companies stood at 1.3% in April.
GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.
Europe was the fastest-growing region for machine learning hiring among apparel industry companies in the three months to the end of March.