Report Overview
AI in Corporate Banking refers to the integration of artificial intelligence technologies—such as machine learning (ML), natural language processing (NLP), and robotic process automation (RPA)—into corporate banking services. These technologies enable banks to automate processes, improve customer experiences, detect fraud, and enhance decision-making capabilities in areas such as credit scoring, loan underwriting, trade finance, regulatory compliance, and more.
The use of AI transforms traditional corporate banking by optimizing operations, reducing costs, and delivering personalized services at scale.
Market Analysis
The global AI in Corporate Banking Market was valued at USD 3.78 billion in 2024 and is projected to reach USD 9.23 billion by 2030, growing at a CAGR of 16.1% during the forecast period (2024–2030).
This robust growth reflects the increasing digital transformation of banking systems and the rising demand for operational efficiency, predictive analytics, and advanced risk assessment.
In the United States, the market was valued at USD 1.13 billion in 2024 and is expected to reach USD 2.68 billion by 2030, expanding at a CAGR of 15.4% over the forecast period.
The U.S. market remains a key revenue contributor owing to strong AI adoption, high digital maturity, and a competitive fintech ecosystem.
