AI in Fintech Market size was valued at USD 18.3 Billion in 2024 and is projected to reach USD 100.5 Billion by 2033, exhibiting a CAGR of 22.7% from 2026 to 2033.
In 2022, the global artificial intelligence (AI) in fintech market was valued at USD 10.88 billion and is projected to reach USD 40.76 billion by 2030, reflecting a compound annual growth rate (CAGR) of 15.78% during the forecast period from 2023 to 2030. This growth is driven by the increasing demand for personalized financial services and the rising need for robust fraud detection and prevention mechanisms. AI technologies, such as machine learning and predictive analytics, are being leveraged to analyze vast datasets, detect fraudulent activities in real time, and enhance customer experiences through tailored financial solutions. Regionally, North America dominated the AI in fintech market in 2021, accounting for over 40% of global revenue. This dominance is attributed to the regions strong emphasis on research and development, a robust technological infrastructure, and the presence of numerous startups and established enterprises offering AI services in the financial sector. The United States, in particular, serves as a global hub for technological innovation, fostering the development and adoption of advanced AI solutions in fintech. Meanwhile, the Asia Pacific region is anticipated to register the fastest CAGR from 2022 to 2030, driven by rapid adoption of digital payments, increased internet penetration, and supportive government initiatives promoting technological advancements in countries such as China, India, and Southeast Asian nations.
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Microsoft
Google (California
US)
Salesforce.com
IBM
Intel
Amazon Web Services
Inbenta Technologies
IPsoft
Nuance Communications
ComplyAdvantage.com
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global AI in Fintech Market
Mobile Payment Systems
Digital Wallets
Cross-Border Payment Solutions
Subscription Billing Services
Invoicing and Payment Tracking Tools
Peer-to-Peer Lending Platforms
Credit Scoring and Risk Assessment Tools
Automated Loan Approval Systems
Alternative Lending Models
Customer Engagement and Retention Solutions
Automated Portfolio Management
Personalized Financial Advisory Services
Investment Risk Assessment Tools
Social Trading Platforms
Retirement Planning Applications
Real-Time Transaction Monitoring
Identity Theft Protection Tools
Machine Learning for Predictive Risk Analysis
Compliance Monitoring Solutions
Behavioral Analytics Software
Chatbots and Virtual Assistants
Sentiment Analysis Tools
Omni-Channel Customer Support Solutions
Customer Feedback and Survey Systems
Predictive Customer Analytics
US (United States, US and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global AI in Fintech Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global AI in Fintech Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global AI in Fintech Market, By Type
6. Global AI in Fintech Market, By Application
7. Global AI in Fintech Market, By Geography
US
Europe
Asia Pacific
Rest of the World
8. Global AI in Fintech Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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