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On technological and analytical innovations in insurance research and industry practice

Xindi Fang et al.

Annals of Actuarial Science2026https://doi.org/10.1017/s1748499526100268article
AJG 1ABDC A
Weight
0.50

Abstract

The InsurTech industry has undergone almost a decade of development. Despite its initial success, the industry now faces challenges from global uncertainties and regulatory adjustments, which lead to concerns about sustainable profit growth and the ongoing development of InsurTech. This study provides an overview of the evolution of InsurTech development from both academic and practical perspectives. A bibliometric analysis of more than 20,000 published articles, including both practice articles and academic articles, is put forward. As compared to other review articles in this field, which often focus on either the practice or the scholarly side of development, this article brings together a review of both academic and practice-based articles from fields relevant to InsurTech including artificial intelligence, the Internet of Things, and also powerful computing technology. A keyword extraction framework is developed and applied. Using text analysis, this study reviews the prioritized topics, analyzes the robustness of the development of publication growth, identifies emerging insurance business lines, and also highlights the challenges and gaps in both academic and practice development. This study aims to motivate collaboration between academics and industry to face the challenges posed by the integration of InsurTech into insurance operations.

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https://doi.org/https://doi.org/10.1017/s1748499526100268

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@article{xindi2026,
  title        = {{On technological and analytical innovations in insurance research and industry practice}},
  author       = {Xindi Fang et al.},
  journal      = {Annals of Actuarial Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1017/s1748499526100268},
}

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On technological and analytical innovations in insurance research and industry practice

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.