The global construction industry experienced a 9% rise in new job postings related to robotics in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Robotics in Construction – Hiring Activity in Q3 2022. This compares to a 57% increase versus Q3 2021.

Notably, Miscellaneous Engineers jobs accounted for a 6% share of the global construction industry’s robotics-related total new job postings in Q3 2022, up 1% over the prior quarter.

Miscellaneous Engineers drive robotics-related hiring activity

Miscellaneous Engineers, with a share of 6%, emerged as the top robotics-related job roles within the construction industry in Q3 2022, with new job postings rising by 1% quarter-on-quarter. Civil Engineers came in second with a share of 4% in Q3 2022, with new job postings rising by 4% over the previous quarter.

The other prominent robotics roles include Maintenance and Repair Workers, General with a 4% share in Q3 2022, Software and Web Developers, Programmers, and Testers with a 3% share of new job postings.

Top five companies in construction industry accounted for 4% of hiring activity

The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were COWI, Honeywell International, Osram and Sunway. Together they accounted for a combined share of 4% of all robotics-related active jobs in the construction industry.

COWI posted 222 robotics-related new jobs in Q3 2022, Honeywell International 216 jobs, Osram 162 jobs, and Sunway 159 jobs, according to GlobalData’s Job Analytics.

Hiring activity was driven by the US with a 57% share of total active job postings, Q3 2022

The largest share of robotics-related new job postings in the construction industry in Q3 2022 was in the US with 57% followed by Malaysia (11%) and India (6%). The share represented by the US was 0.8 percentage points lower than the 58% share it accounted for in Q2 2022.

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.