Trends and Patterns in Artificial Intelligence Applications for Financial Technology: A Global Bibliometric Analysis (2000–2025)
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Abstract
This study provides a comprehensive bibliometric mapping of artificial intelligence (AI) research in financial technology (FinTech) from 2000 to 2025, based on 958 Scopus-indexed publications. The research uses performance analysis and science-mapping methodologies to examine publishing patterns, citation impact, and topic progression. The findings suggest an increased development of AI–FinTech research
from 2018, culminating in a large rise by 2024. Three important study areas emerge: cybersecurity and machine-learning-driven systems, digital finance and technical innovation, and decision-support systems with risk analysis. Despite this rapid expansion, persistent gaps remain in regulatory technological frameworks, ethical AI governance, and the integration of sustainability. By systematically structuring the intellectual landscape of AI–FinTech research, this study contributes to management systems and strategic operations by informing risk governance design, cybersecurity management, regulatory compliance optimization, and data-driven operational decision-making in digital transformation initiatives.
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