The global medical industry experienced a 21% drop in new job postings related to robotics in Q2 2023 compared with the previous quarter, according to GlobalData’s Job Analytics. This compares to a 14% increase versus Q2 2022. Buy the report here.
Notably, Architecture and Engineering Occupations jobs accounted for a 13% share of the global medical industry’s robotics-related total new job postings in Q2 2023, up 25% over the prior quarter.
Architecture and Engineering Occupations drive robotics-related hiring activity
Architecture and Engineering Occupations, with a share of 13%, emerged as the top robotics-related job roles within the medical industry in Q2 2023, with new job postings rising by 25% quarter-on-quarter. Computer and Mathematical Occupations came in second with a share of 10% in Q2 2023, with new job postings dropping by 11% over the previous quarter.
The other prominent robotics roles include Management Occupations with an 8% share in Q2 2023, Installation, Maintenance, and Repair Occupations with a 7% share of new job postings.
Top five companies in medical industry accounted for 60% of hiring activity
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q2 2023 were Dentsply Sirona, Stryker, Medtronic, Intuitive Surgical, and Zimmer Biomet. Together they accounted for a combined share of 60% of all robotics-related new jobs in the medical industry.
Dentsply Sirona posted 405 robotics-related new jobs in Q2 2023, Stryker 210 jobs, Medtronic 162 jobs, Intuitive Surgical 130 jobs, and Zimmer Biomet 77 jobs, according to GlobalData’s Job Analytics.
Hiring activity was driven by the US with a 70.49% share of total new job postings, Q2 2023
The largest share of robotics-related new job postings in the medical industry in Q2 2023 was in the US with 70.49% followed by Germany (5.24%) and Sweden (3.41%). The share represented by the US was three percentage points higher than the 67.50% share it accounted for in Q1 2023.
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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.
