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AI in Financial Services

Publisher HHeuristics
Published Oct 21, 2025
Length 25 Pages
SKU # HHE20489492

Description

Details AI’s transformation of banking, insurance, and capital markets. Forecasts AI-in-BFSI market to reach $192.7 B by 2034 (CAGR 22%). Explores predictive risk, compliance, trading algorithms, and generative AI adoption with governance via SR 11-7 and EU AI Act.
This report integrates insights from leading financial regulators (BIS, ECB, and U.S. Federal Reserve), global AI spending data from IDC and McKinsey, and case studies from institutions such as JPMorgan, HSBC, and AXA. The research uses mixed quantitative and qualitative methods, combining 2024–2025 AI adoption surveys with AI market sizing models validated against public filings and fintech venture funding databases. It also draws upon the EU AI Act and Basel Committee guidelines to contextualize compliance obligations within financial AI operations. Vendor analysis covers platform leaders in data science, model management, and explainable AI. The report emphasizes that financial institutions adopting AI strategically—especially in compliance automation, risk modeling, and client personalization—will capture both cost reduction and trust-based competitive advantage in a tightening regulatory environment.

Table of Contents

25 Pages
1. Executive Summary
1.1. Market Overview and Strategic Importance of AI in BFSI
1.2. Key Findings and Forecast Highlights
1.3. Competitive Landscape and Emerging Technologies
1.4. Regulatory and Risk Management Context
2. Market Overview and Drivers
2.1. Evolution of AI in Financial Services (2018–2025)
2.2. Growth Drivers: Data Explosion, Cloud Infrastructure, and Open Banking
2.3. Emerging Trends: Generative AI, Explainable AI, and Algorithmic Risk Management
2.4. Economic Impact and Revenue Forecast (2025–2034)
3. Applications and Use Cases
3.1. Retail Banking: Personalized Advisory and Chatbots
3.2. Investment Banking: AI-Driven Trading and Portfolio Optimization
3.3. Insurance: Fraud Detection, Underwriting Automation, and Claims Analytics
3.4. Risk Management: Credit Scoring, Compliance Automation, and RegTech
3.5. Cross-Functional AI Deployment: Customer Insights and AML Monitoring
4. Technology Ecosystem and Vendor Landscape
4.1. Core Technologies: Machine Learning, NLP, Predictive Analytics
4.2. Generative AI in Financial Operations (LLMs, Knowledge Agents, and CoPilots)
4.3. Vendor Profiles: IBM WatsonX, Palantir Foundry, DataRobot, SAS, and Google Vertex AI
4.4. Partnerships and M&A Activity in Fintech AI Integration
4.5. Cloud Infrastructure Providers and Financial AI-as-a-Service
5. Regulation, Ethics, and Governance
5.1. Global Policy Context (EU AI Act, U.S. SR 11-7, Basel AI Principles)
5.2. Data Privacy and Model Risk Management (MRM)
5.3. Fairness, Bias Mitigation, and Auditability in AI Models
5.4. Building Trust and Transparency: Human-in-the-Loop Oversight
6. Market Forecasts and Future Outlook
6.1. AI in Financial Services Market Forecast (2025–2034)
6.2. Segment Outlook by Banking, Insurance, and Fintech
6.3. Investment Trends and Venture Funding Landscape
6.4. Strategic Recommendations for CIOs and Compliance Leaders

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