The global construction industry experienced 0.51% rise in new job postings related to cybersecurity in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cybersecurity in Construction – Hiring Activity in Q3 2022. This compares to a 30% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 7% share of the global construction industry’s cybersecurity-related total new job postings in Q3 2022, up 5% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 7%, emerged as the top cybersecurity-related job roles within the construction industry in Q3 2022, with new job postings rising by 5% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 5% in Q3 2022, with new job postings drop by 21% over the previous quarter.
The other prominent cybersecurity roles include Computer and Information Analysts with a 3% share in Q3 2022, Miscellaneous Electrical and Electronic Equipment Mechanics, Installers, and Repairers 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 Liebherr-International, Eaton Corporation, Johnson Controls International and Honeywell International. Together they accounted for a combined share of 16% of all cybersecurity-related active jobs in the construction industry.
Liebherr-International posted 1,146 cybersecurity-related new jobs in Q3 2022, Eaton Corporation 897 jobs, Johnson Controls International 662 jobs, and Honeywell International 596 jobs, according to GlobalData’s Job Analytics.
The largest share of cybersecurity-related new job postings in the construction industry in Q3 2022 was in the US with 44% followed by the UK (12%) and India (9%). The share represented by the US was one percentage point higher than the 42% 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.
