The global aerospace, defence & security industry experienced an 11% drop in new job postings related to cybersecurity in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cybersecurity in Aerospace, Defence & Security – Hiring Activity in Q3 2022. This compares to a 25% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 11% share of the global aerospace, defence & security industry’s cybersecurity-related total new job postings in Q3 2022, down 20% 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 aerospace, defence & security industry in Q3 2022, with new job postings drop by 20% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 11% in Q3 2022, with new job postings drop by 7% over the previous quarter.
The other prominent cybersecurity roles include Computer and Information Research Scientists with a 6% share in Q3 2022, Computer and Information Analysts with a 4% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Raytheon Technologies, Huntington Ingalls Industries, Leidos Holdings and General Dynamics. Together they accounted for a combined share of 14% of all cybersecurity-related active jobs in the aerospace, defence & security industry.
Raytheon Technologies posted 1,121 cybersecurity-related new jobs in Q3 2022, Huntington Ingalls Industries 963 jobs, Leidos Holdings 709 jobs, and General Dynamics 698 jobs, according to GlobalData’s Job Analytics.
The largest share of cybersecurity-related new job postings in the aerospace, defence & security industry in Q3 2022 was in the US with 79% followed by the UK (4%) and Germany (4%). The share represented by the US was 0.26 percentage points lower than the 79% 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 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.
