The embedded finance ecosystem: A systematic review and bibliometric analysis

This article aims to analyze the embedded finance literature using a bibliometric methodology, evaluating trends, knowledge gaps, and geographical collaboration networks. The study examines 781 articles published in the “Business Finance” category of the Web of Science (WoS) database, retrieved using the keyword \\\"Embedded Finance.\\\" The distribution of these articles by year, citation intensities, author collaborations, and thematic focuses were comprehensively analyzed using the R programming language. The research findings reveal that the embedded finance literature has grown rapidly in recent years under the influence of digital transformation and financial technologies. The thematic focus of the studies has shifted from traditional finance topics, such as risk management and option pricing, to modern areas like sustainability, artificial intelligence, and monetary policies. Geographical analyses highlight the central roles of the United States, China, and the United Kingdom in this literature and emphasize the significant contributions of international collaborations. Additionally, it was identified that knowledge gaps persist in areas such as sustainability, financial technologies, and regulatory policies, presenting notable opportunities for future research.