Objective: This study aims to provide a bibliometric analysis of the trends and research opportunities in the field of insurance and artificial intelligence (AI). By identifying AI applications in the insurance industry, the research seeks to offer a comprehensive perspective on knowledge development and key trends in this area.
Method: Using the Web of Science database, 837 scientific documents published between 1985 and 2024 were collected and analyzed. Bibliometric tools such as Bibliometrix and VOSviewer were employed for data analysis, scientific mapping, and citation and co-citation analysis. The primary focus was on analyzing research trends, conceptual structures, and scientific collaboration networks.
Findings: The results indicate that the field of insurance and AI is expanding as an interdisciplinary domain. Initial research focused on social and economic factors, but recent studies have increasingly emphasized topics such as risk analysis, fraud detection, and the use of machine learning and neural networks to enhance insurance processes. Moreover, the United States and China have emerged as leading countries in scientific production and international collaborations in this field.
Conclusion: This study highlights AI as a pivotal tool for transforming the insurance industry, optimizing costs, and improving service efficiency. The findings propose new pathways for future research, including exploring legal challenges, data security, and developing standard frameworks for leveraging AI technologies. This approach has the potential to enhance risk management and elevate customer experience in the insurance industry.