Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Explainable Artificial Intelligence (AI) In Banking Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The explainable artificial intelligence (AI) in banking market has observed substantial growth in recent years. It is projected to expand from $1.3 billion in 2025 to $1.61 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 23.8%. Historically, this growth can be ascribed to several factors, such as the increasing adoption of AI in banking, greater regulatory scrutiny of AI models, the imperative for transparency in credit and risk decisions, the early implementation of AI governance frameworks, and the demand for fraud detection solutions.
The explainable artificial intelligence (AI) in banking market is projected for significant expansion in the coming years. Its valuation is anticipated to reach $3.8 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 24.0%. Several factors contribute to this growth during the forecast period, including the increasing necessity for explainable AI in regulatory compliance, the broadening scope of AI-powered risk and credit solutions, enhanced incorporation of AI into banking analytics platforms, the embrace of cloud-based explainability tools, and a surging need for model interpretability and audit dashboards. Key developments expected within this period encompass explainable risk and credit decision analysis, validation and testing of AI models, seamless integration with core banking infrastructure, continuous monitoring and reporting of AI-driven outcomes, and the identification and assessment of bias and fairness.
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Explainable Artificial Intelligence (AI) In Banking Market Development Factors: What’s Supporting Demand?
The escalating occurrence and complexity of fraud and financial crime are projected to fuel the expansion of explainable artificial intelligence (AI) in the banking market in the future. This surge in fraudulent activities and financial offenses is largely linked to the swift embrace of digital banking and online payment platforms, which expand the potential targets for attacks and create more avenues for criminals to exploit system weaknesses widely. The heightened frequency and advanced nature of fraud and financial crime render explainable artificial intelligence in banking indispensable, as financial institutions must not only precisely identify intricate fraudulent patterns but also clearly articulate and vindicate automated risk decisions to regulatory bodies, auditors, and clients to uphold confidence and ensure adherence to regulations. As an illustration, in November 2025, the Federal Reserve Bank of Kansas City, a US-based central banking system, reported that fraud-related losses in the United States amounted to $12.5 billion in 2024, signifying a substantial 25% surge compared to 2023. Consequently, the escalating occurrence and intricacy of fraud and financial crime are propelling the growth of explainable artificial intelligence (AI) in the banking market.
Explainable Artificial Intelligence (AI) In Banking Market Segment Analysis And Revenue Potential
The explainable artificial intelligence (AI) in banking market covered in this report is segmented –
1) By Component: Software, Services, Hardware
2) By Deployment Mode: On-Premises, Cloud
3) By Enterprise Size: Small And Medium Enterprises, Large Enterprises
4) By Application: Risk Management, Fraud Detection, Customer Service, Compliance, Credit Scoring, Other Applications
5) By End-User: Banks And Financial Institutions, Fintech Companies, Payment Service Providers, Insurance And Investment Firms
Subsegments:
1) By Software: Model Interpretability Software, Decision Transparency Software, Risk And Compliance Analytics Software, Visualization And Reporting Software, Model Governance And Validation Software
2) By Services: Consulting Services, Model Audit And Validation Services, Implementation And Integration Services, Regulatory Compliance Advisory Services, Training And Support Services
3) By Hardware: High Performance Servers, Data Processing Units, Storage And Memory Systems, Secure Computing Infrastructure, Networking Equipment
Explainable Artificial Intelligence (AI) In Banking Market Transformation Trends: What Innovations Are Driving Change?
Leading companies in the explainable artificial intelligence (AI) in the banking market are concentrating on creating transparent transaction solutions to improve regulatory confidence and deliver more personalized banking experiences. An AI-powered transparent transaction solution clearly illustrates how customer transactions are understood, categorized, and analyzed from raw data, empowering banks to track and elaborate on every AI choice, thus ensuring regulatory adherence and accountability. For example, in September 2023, Temenos, a banking software company based in Switzerland, unveiled its Secure Generative Artificial Intelligence Transaction Classification Solution. This solution allows for the clear and explainable classification of customer transactions from free-text descriptions in multiple languages, thereby supporting traceable and auditable credit and risk assessments. It is engineered to incorporate explainability, scenario-driven analysis, and auditability into fundamental banking processes. The solution assists banks in substantiating AI-generated insights to regulators, customers, and internal stakeholders, while also fostering the ethical and responsible use of generative AI in financial decision-making.
Explainable Artificial Intelligence (AI) In Banking Market Competitive Landscape: Who Leads The Industry?
Major companies operating in the explainable artificial intelligence (AI) in banking market are Alphabet Inc., Microsoft Corporation, Accenture plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Cognizant Technology Solutions Corporation, Moodys Analytics Inc., SAS Institute Incorporated, Teradata Corporation, Fair Isaac Corporation, Tredence Inc., AlphaSense Inc., C3.ai Inc., H2O.ai Inc., Zest Artificial Intelligence Inc., Squirro AG, aiXplain Inc., Seldon Technologies Limited, Symphony Ayasdi AI Inc., MindBridge Ai Inc., and Arthur AI Inc.
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Explainable Artificial Intelligence (AI) In Banking Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the explainable AI in banking market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the explainable artificial intelligence (AI) in banking market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
