The global auto industry experienced a 2% rise in new job postings related to cybersecurity in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cybersecurity in Automotive – Hiring Activity in Q3 2022. This compares to an 213% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 11% share of the global auto industry’s cybersecurity-related total new job postings in Q3 2022, up 12% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 11%, emerged as the top cybersecurity-related job roles within the auto industry in Q3 2022, with new job postings rising by 12% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 4% in Q3 2022, with new job postings rising by 43% over the previous quarter.
The other prominent cybersecurity roles include Miscellaneous Engineers with a 3% share in Q3 2022, Computer and Information Systems Managers with a 3% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Mercedes-Benz Group, Magna International, Rivian Automotive and AB Volvo. Together they accounted for a combined share of 7% of all cybersecurity-related active jobs in the auto industry.
Mercedes-Benz Group posted 2,662 cybersecurity-related new jobs in Q3 2022, Magna International 1,006 jobs, Rivian Automotive 673 jobs, and AB Volvo 559 jobs, according to GlobalData’s Job Analytics.
The largest share of cybersecurity-related new job postings in the auto industry in Q3 2022 was in the US with 32% followed by Germany (28%) and India (7%). The share represented by the US was nine percentage points higher than the 23% share it accounted for in Q2 2022.
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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.
