The global travel and tourism industry experienced a 2% rise in new job postings related to artificial intelligence in Q3 2022 compared with the previous quarter, according to GlobalData’s whitepaper on Artificial Intelligence in Travel & Tourism – Hiring Activity in Q3 2022. This compares to a 65% increase versus Q3 2021.
Notably, Software and Web Developers, Programmers, and Testers jobs accounted for an 18% share of the global travel and tourism industry’s artificial intelligence-related total new job postings in Q3 2022, down 12% over the prior quarter.
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Software and Web Developers, Programmers, and Testers, with a share of 18%, emerged as the top artificial intelligence-related job roles within the travel and tourism industry in Q3 2022, with new job postings drop by 12% quarter-on-quarter. Data Scientists came in second with a share of 8% in Q3 2022, with new job postings drop by 6% over the previous quarter.
The other prominent artificial intelligence roles include Computer and Information Systems Managers with a 7% share in Q3 2022, Database and Network Administrators and Architects with a 5% share of new job postings.
The top companies, in terms of number of new job postings tracked by GlobalData, as of Q3 2022 were Walt Disney, Wyndham Hotels & Resorts, Expedia Group and A.P. Moller - Maersk. Together they accounted for a combined share of 26% of all artificial intelligence-related active jobs in the travel and tourism industry.
Walt Disney posted 357 artificial intelligence-related new jobs in Q3 2022, Wyndham Hotels & Resorts 274 jobs, Expedia Group 168 jobs, and A.P. Moller - Maersk 125 jobs, according to GlobalData’s Job Analytics.
The largest share of artificial intelligence-related new job postings in the travel and tourism industry in Q3 2022 was in the US with 53% followed by Germany (9%) and India (7%). The share represented by the US was seven percentage points higher than the 46% 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.
