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Mapping the Landscape of Insurtech Research: A Bibliometric Analysis

Authors

Sulfath Thadathil

Research Scholar, Department of Commerce, PSMO College (Autonomous), Tirurangadi, Affiliated to University of Calicut, Kerala, India. (IN)

Dr. Saleena TA

Assistant Professor, Department of Commerce, PSMO College (Autonomous), Tirurangadi, Affiliated to University of Calicut, Kerala, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150400097

Subject Category: Insurance Technology

Volume/Issue: 15/4 | Page No: 1102-1112

Publication Timeline

Submitted: 2026-05-18

Published: 2026-05-16

Abstract

InsurTech, which stands for "insurance technology," refers to technology and innovation with the primary purpose of providing better services and technology to the insurance business in current progressive technological environment and industrial revolution. That industry is increasingly relies on technology to gain a competitive advantage, and it helps decision-makers make sound decisions. New technologies are integrating and strongly influencing people's work and life, and they have emerged as a key driver of the insurance industry's constant innovation. The application of InsurTech has gained widespread attention in the industry, and it is essential to conduct an in-depth deconstruction and analysis of its impact on insurance business innovation. This study aims to analyse the recent trends and patterns of research in the field of Insurtech using bibliometric methods. For this, 668 articles in total were retrieved from the Scopus and Web of Science databases after removing the duplicates. The data was analysed using Bibliometric R-package. The results identified the leading countries, institutions, authors, journals, most occured keywords, scientific publications on the topic and shed light on current research trends. Some of the results demonstrate that the most cited country is the United Kingdom followed by China and Germany, the most productive institution is University of Vaasa, the most productive author is Zhang J followed by Giudici P, Grobys K, Okoli T and Wang J, and the most productive journal is Journal of Risk and Financial Management followed by IEEE Access.

Keywords

Insurtech, Financial Technology, Bibliometrics, Biblioshiny-R package

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References

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