A Bibliometric Analysis of Artificial Intelligence in the Banking Sector: Trends, and Future Directions

Abstract

This study conducts a bibliometric analysis of artificial intelligence (AI) in the banking sector, focusing on recent trends and future directions. Using VOSviewer for mapping, the study examines publication patterns, high-impact papers and journals, influential countries and authors, and thematic clusters in the AI and banking sectors. The study findings indicate significant growth in AI-related publications from 2019 to 2024, driven by applications in fraud detection, customer service automation, and risk management, underscoring the banking sector’s reliance on digital transformation. Key thematic clusters identified include cybersecurity, digital infrastructure, customer analytics, operational efficiency, and ethical considerations. The analysis highlights AI’s transformative role in enhancing banking efficiency and customer satisfaction, with substantial contributions from South Asia, Europe, and North America. The study limitations related to data sources and collaborative efforts point to opportunities for interdisciplinary and international research expansion. The study provides valuable insights for academia, industry practitioners, and policymakers, addressing research gaps and recommending pathways for a sustainable and inclusive integration of AI in banking.