Abstract
Insurtech uses cutting-edge technologies like artificial intelligence (AI), big data, blockchain, and the Internet of Things (IoT) to revolutionize the insurance sector, tackling weaknesses by improving product innovation, efficiency, and cost savings. Furthermore, contemporary technology enable insurers to implement pay-as-you-drive or pay-how-you-drive auto insurance, as well as dynamic underwriting, which will replace an annual or one-time premium payment with continuing adaptive pricing systems. This study uses bibliometric techniques to analyze the scientific literature on Insurtech, resulting in an unbiased analysis of current research trends. The purpose of the study is to uncover promising research topics by focussing on the most recent technology developments, strategies, and applications propelling the sector ahead. Furthermore, this study will look to find the research direction and the future scope of researchers in the domain of insurtech, by identifying significant keywords and topics. This study employs various methods like descriptive statistics, cluster analysis, and network analysis which represent the current state of Insurtech research. The study also uncovers the most influential researches and prominent authors of the domain, and how research around the globe is developing in this domain of insurtech. It also examines the evolution of publications over time, highlighting the most prominent articles and writers who have contributed significantly to the field’s knowledge base.
Keywords: AI, Bibliometric Analysis, Blockchain, Innovation, Insurtech, Technological Integration.