The global power industry experienced a 31% rise in new job postings related to internet of things in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Internet of Things in Power – Hiring Activity in Q3 2022. This compares to a 107% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 11% share of the global power industry’s internet of things-related total new job postings in Q3 2022, up 37% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 11%, emerged as the top internet of things-related job roles within the power industry in Q3 2022, with new job postings rising by 37% quarter-on-quarter. Database and Network Administrators and Architects came in second with a share of 5% in Q3 2022, with new job postings rising by 44% over the previous quarter.
The other prominent internet of things roles include Computer and Information Systems Managers with a 4% share in Q3 2022, Electrical and Electronics Engineers 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 Siemens, Landis+Gyr Group, Engie and Schneider Electric. Together they accounted for a combined share of 60% of all internet of things-related active jobs in the power industry.
Siemens posted 947 internet of things-related new jobs in Q3 2022, Landis+Gyr Group 329 jobs, Engie 185 jobs, and Schneider Electric 109 jobs, according to GlobalData’s Job Analytics.
The largest share of internet of things-related new job postings in the power industry in Q3 2022 was in the US with 44% followed by India (11%) and the UK (10%). The share represented by the US was six percentage points higher than the 38% 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.
