Emergence and Development of Insurtech: Systemization through Bibliometric Analysis

Abstract

The combination of technology in the insurance sector, referred to as Insurtech, has transformed traditional insurance operations by enhancing customer experience, increasing efficiency, and enabling innovative business models. Early research focused on the potential of digital platforms, data analytics, and artificial intelligence in reshaping insurance practices, while more recent studies delve into blockchain, machine learning, and the big data. These technologies are enabling personalized insurance products, real-time risk assessment, and automation in claims processing, fundamentally altering traditional insurance paradigms. This paper aims to explore the emergence and development of Insurtech through a bibliometric analysis, offering a systematic overview of its academic and practical evolution. By examining a large corpus of scholarly articles, conference proceedings, and industry reports, this study traces key research trends, dominant thematic areas, influential authors, and significant publications shaping the Insurtech landscape. This paper provides the summary statistics on journals covering the topic, authors, year of publication, size, methods, and applications of Insurtech elaborated. The study is based on the bibliometric analysis of 348 papers extracted from the Scopus database.