Asia-Pacific was the fastest-growing region for machine learning hiring from automotive companies in the three months ended May.
The number of positions in Asia-Pacific accounted for 10.7% of total machine learning jobs – up from 6.8% in the same quarter last year.
That was followed by Europe, which saw a 3.5 percentage point year-over-year change in machine learning roles.
The figures are compiled by GlobalData, which tracks the number of new job openings from key companies in various sectors over time. These vacancies are then classified thematically using text analysis.
GlobalData’s thematic approach to industry activity focuses on grouping key company information by topic to see which companies are best placed to deal with the disruptions that are hitting their industry.
These key themes, including machine learning, have been chosen to address “any problem that keeps a CEO up at night”.
By tracking them in job openings, we can see which companies are leading the way on specific issues and which are following them – and especially where the market is growing and contracting.
Which countries are seeing the most growth for machine learning jobs in the automotive industry?
The fastest-growing country was Germany, which saw 18.1% of all machine learning job openings in the three months ending May 2021, rising to 25.5% in the three months ending May this year.
This was followed by China (2.3 percentage points), India (1.6) and Sweden (1.5).
The top country for machine learning features in the automotive industry is the United States, where 46.1% of all features were advertised in the three months ending May.
Which cities and locations are the largest hubs for machine learning workers in the automotive industry?
About 8.3% of all machine learning features in the automotive industry were advertised in Munich (Germany) in the three months ending in May.
This was followed by Wuppertal (Germany) with 6.8%, Warren (United States) with 6% and Palo Alto (United States) with 5.5%.