The global travel and tourism industry experienced an 81% 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 Travel & Tourism – Hiring Activity in Q3 2022. This compares to a 55% increase versus Q3 2021.
Notably, Heavy Vehicle and Mobile Equipment Service Technicians and Mechanics jobs accounted for a 24% share of the global travel and tourism industry’s internet of things-related total new job postings in Q3 2022, up 47% over the prior quarter.
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Heavy Vehicle and Mobile Equipment Service Technicians and Mechanics, with a share of 24%, emerged as the top internet of things-related job roles within the travel and tourism industry in Q3 2022, with new job postings rising by 47% quarter-on-quarter. Software and Web Developers, Programmers, and Testers came in second with a share of 7% in Q3 2022, with new job postings rising by 25% over the previous quarter.
The other prominent internet of things roles include Transportation Service Attendants with a 7% share in Q3 2022, Production, Planning, and Expediting Clerks with a 6% share of new job postings.
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The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Avis Budget Group, Vivint Smart Home Arena, A.P. Moller - Maersk and Enterprise Holdings. Together they accounted for a combined share of 115% of all internet of things-related active jobs in the travel and tourism industry.
Avis Budget Group posted 499 internet of things-related new jobs in Q3 2022, Vivint Smart Home Arena 392 jobs, A.P. Moller - Maersk 84 jobs, and Enterprise Holdings 61 jobs, according to GlobalData’s Job Analytics.
The largest share of internet of things-related new job postings in the travel and tourism industry in Q3 2022 was in the US with 56% followed by Australia (17%) and New Zealand (6%). The share represented by the US was 17 percentage points lower than the 73% share it accounted for in Q2 2022.
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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.
