Industry Overview
AI in banking market is rising at a CAGR 25.1% during the forecast period (2025-2035). The AI in banking market is evolving into a strategic necessity for financial institutions looking for risk management, improved efficiency, and service excellence. Banks increasingly implement AI-based systems to improve their fraud prevention and security measures. These AI-powered systems uses machine learning software to constantly examine transaction patterns and detect anomalies, allowing for real-time identification of potential fraud. These innovative algorithms enhance accuracy and speed detection of anomalies that could indicate fraud, significantly improving overall security. By leveraging huge amounts of data, AI systems can frequently discern patterns too complex for human monitoring, providing banks with a better and effective tool to decrease risks. This movement is especially prevalent as banks seek to safeguard customer data and shield themselves from new waves of cyber threats. For instance, in April 2025, UniCredit implemented its AI-driven DealSync system that uses innovative algorithms to detect small and medium-sized M&A opportunities. Such advanced solution assists in enhancing their investment banking division without increasing their workforce, demonstrating how AI can enhance efficiency and decrease the amount of manual effort that goes into the identification of profitable financial opportunities.
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Recent Developments
- In March 2025, The Commonwealth Bank of Australia (CBA) launched a new technology center in Seattle aimed at advance its AI capabilities. The emphasis is on up skilling staff and emerging AI solutions that enhance customer service efficiency while assisting in safeguarding customers from online fraud. The move reflects CBA’s effort to embrace AI to enhance customer satisfaction and security.
- In October 2024, Q2 Holdings Inc. widened its partnership with Amazon Web Services (AWS) to drive innovation for credit unions, banks, and fintechs. Supported by Presidio, Q2 will use AWS and generative AI technology to further improve its digital banking solutions, streamlining processes and offering improved services to consumer and business customers through Q2 Innovation Studio.
Some of the Key Companies in the AI in Banking Market include-
- Amazon Web Services Inc.
- BigML, Inc.
- Cisco Systems, Inc.
- Comply Advantage Ltd
- Daraminr
- Darktrace Holdings Ltd.
- Datarobot Inc.
- Feedzai
- FICO
- Google LLC
- Hewlett Packard Enterprise Development LP
- IBM Corp.
- Intel Corp.
- JPMorgan Chase & Co.
- Kasisto
- Microsoft Corp.
- Oracle Corp.
- RapidMiner, Inc.
- Salesforce, Inc.
- SAP SE
- SAS Institute Inc.
AI in Banking Market Segmentation Analysis
Global AI in Banking Market by Technology
- Natural Language Processing (NLP)
- Machine Learning & Deep Learning
- Computer Vision
- Others (Reinforcement Learning, Generative Adversarial Networks)
Global AI in Banking Market by Component
- Software and Services
- Hardware
Global AI in Banking Market by Application
- AI-Powered Chabot
- Mobile Banking
- Customer Service
- Risk Management Compliance & Security
- Others (Financial advisory, back office, and operations)
Regional Analysis
- North America
- United States
- Canada
- Europe
- UK
- Germany
- Italy
- Spain
- France
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- ASEAN Economies (Singapore, Thailand, Vietnam, Indonesia, and Other)
- Australia and New Zealand
- Rest of Asia-Pacific
- Rest of the World
- Latin America
- Middle East and Africa
Anurag Tiwari
Director Sales Division
+91 780-304-0404
info@omrglobal.com
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