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Mapping the landscape of artificial intelligence in insurance industry: a review and bibliometric analysis

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  • Shweta Jaiswal
  • Tejbahadur Kannaujiya

Abstract

This study aims to provide new insights into the development of AI research in the insurance industry through bibliometric and network analysis using the Dimension and Scopus databases. This analysis is based on 248 papers published between 2010 and 2024. The bibliometric analysis defines the research topic by highlighting the top contributors in the field, countries, prominent authors and influential publications. The publication rate has been substantial since 2015, demonstrating the rapidly increasing interest in artificial intelligence technologies such as machine learning, natural language processing and predictive analytics. The findings reveal that there is significant increase in publications, indicating growing interest and investment in AI technologies within insurance and also section employs bibliometric analysis to present the most frequently cited papers, leading contributing authors, journals and institutions, serving as a framework for the intellectual structure of this research field.

Suggested Citation

  • Shweta Jaiswal & Tejbahadur Kannaujiya, 2026. "Mapping the landscape of artificial intelligence in insurance industry: a review and bibliometric analysis," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 18(3), pages 283-311.
    • Handle: RePEc:ids:injams:v:18:y:2026:i:3:p:283-311
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