Future-Relevant Technologies for Switzerland: Based On Job Postings Analysis
This study identifies key emerging technologies across Switzerland using large-scale job postings data to capture real-time talent demand.
Researchers at the University of Liechtenstein confirmed in the Swiss Journal of Business that job posting data reveals emerging technology trends faster than traditional sources like patent data or scientific publications.
Identifying core technologies: Across Switzerland’s labor market, researchers identified the most common tech terms: AI, machine learning (ML), cybersecurity, and robotics.
Cross-industry robustness: Emerging technologies like AI, automation, big data, and cloud computing are in high demand across a wide range of industries. This points to strategic interests across Switzerland. Fields like augmented reality, biotechnology, and drones came up less often. This shows they’re still less established.
Bridging the skills gap: Looking across Swiss job postings helps identify talent supply and demand, so universities, vocational institutes, and corporate training programs can better anticipate future needs.
Strategic competitiveness and policy guidance: This kind of job market data can help guide policy. It reveals which technology fields are growing and how that growth connects to broader economic needs.
Research driven by academic institutions
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Swiss Journal of Business
Future-Relevant Technologies for Switzerland: Based On Job Postings Analysis
Sep. 01, 2026
View Article- Academic research
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Georgia State University
Generative AI and Firm Hiring Demand: Evidence from Advanced & Developing Economies
Jul. 08, 2026
View Article- Academic research
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UMD & LinkUp
AI Jobs: Tribal Tales vs. Hard Data
Apr. 23, 2026
View Article- Academic research
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