Ten years of mapping the growth and trends research of artificial intelligence in the financial sector: a bibliometric analysis

This study aims to map the growth and trends of AI research in the financial sector over the past ten years through a bibliometric approach. Data were collected from Scopus and Web of Science, including as many as 2272 documents, and analyzed using bibliometric software to identify publication patterns, author collaborations, dominant keywords, and the evolution of research themes. The results show a significant increase in the number of publications since 2016 to peak in 2024. Countries such as China, India, the United States, and the United Kingdom dominate scientific contributions, while global collaboration continues to grow. This study also reveals research gaps, especially related to aspects of AI ethics, regulation, economic transformation, finance, business, technological innovation, sustainable development, and the adoption of AI by MSMEs. These findings provide a comprehensive picture of the dynamics of AI research in finance and serve as an important basis for future research and policy development.