The global construction industry experienced a 7% rise in new job postings related to cloud in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Cloud in Construction – Hiring Activity in Q3 2022. This compares to a 22% increase versus Q3 2021.

Notably, Software and Web Developers, Programmers, and Testers jobs accounted for a 21% share of the global construction industry’s cloud-related total new job postings in Q3 2022, up 3% over the prior quarter.

Software and Web Developers, Programmers, and Testers drive cloud-related hiring activity

Software and Web Developers, Programmers, and Testers, with a share of 21%, emerged as the top cloud-related job roles within the construction industry in Q3 2022, with new job postings rising by 3% quarter-on-quarter. Miscellaneous Computer Occupations came in second with a share of 7% in Q3 2022, with new job postings rising by 70% over the previous quarter.

The other prominent cloud roles include Database and Network Administrators and Architects with a 6% share in Q3 2022, Miscellaneous Business Operations Specialists with a 5% share of new job postings.

Top five companies in construction industry accounted for 16% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were CDM Smith, Honeywell International, Vinci and Black & Veatch. Together they accounted for a combined share of 16% of all cloud-related active jobs in the construction industry.

CDM Smith posted 996 cloud-related new jobs in Q3 2022, Honeywell International 861 jobs, Vinci 422 jobs, and Black & Veatch 413 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 54% share of total active job postings, Q3 2022

The largest share of cloud-related new job postings in the construction industry in Q3 2022 was in the US with 54% followed by India (11%) and Canada (6%). The share represented by the US was three percentage points higher than the 51% 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.