The India AI in fintech market size reached USD 575.30 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 2,968.29 Million by 2033, exhibiting a growth rate (CAGR) of 20.00% during 2025-2033. India's AI-driven fintech market is expanding rapidly, driven by advancements in credit management, fraud prevention, and digital payment security. Moreover, AI integration enhances financial accessibility, automates risk assessment, and strengthens transaction security, fostering innovation across banking, lending, and payment solutions in the evolving digital financial ecosystem.
Report Attribute
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Key Statistics
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Base Year
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2024 |
Forecast Years
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2025-2033
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Historical Years
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2019-2024
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Market Size in 2024 | USD 575.30 Million |
Market Forecast in 2033 | USD 2,968.29 Million |
Market Growth Rate (2025-2033) | 20.00% |
AI-Driven Credit Management Growth
Artificial intelligence is revolutionizing credit management in India's fintech industry by increasing financial awareness, maximizing rewards, and improving credit utilization. In addition, the growing adoption of AI-based solutions is assisting customers in making better financial choices, enhancing credit health, and lowering defaults. Furthermore, fintech companies are using AI to gain real-time insights, automate spending analysis, and make tailor-made suggestions as digital banking continues to grow at a rapid pace. For example, in January 2025, Indian fintech firm CheQ launched Wisor, the country’s first AI-powered credit card expert. Wisor simplifies credit management by analyzing spending patterns, optimizing rewards, and offering customized insights. This innovation is solidifying AI adoption in fintech by enhancing credit management efficiency and user accessibility. AI adoption in credit management is increasing transparency and trust in India's financial market. Besides this, AI-based credit solutions are becoming the need of the hour for financial planning, with consumers relying more on digital tools. The use of predictive analytics with automation is also assisting banks as well as fintech players to provide improved models of risk assessment. Concurrently, the fintech sector will see surprising leaps in credit management, enhancing credit usage and access to finance nationwide with constant evolution in AI.
Advanced Fraud Prevention in Payments
The growth in online transactions has raised the need for advanced fraud prevention and security technologies in India's fintech sector. AI is helping to detect suspicious behavior, prevent risks, and enhance digital payment security. Along with this, financial institutions are adopting AI-fueled tools to reinforce transaction monitoring and prevention of fraud as they increasingly worry about threats from cyber-attacks. For example, in August 2024, NPST introduced seven AI-powered digital payment solutions at Global Fintech Fest. These innovations focus on fraud prevention, transaction security, and risk intelligence. Through the use of AI, NPST is assisting banks and payment aggregators in enhancing compliance, efficiency, and scalability in fraud prevention and digital payment processing. The use of AI in preventing fraud is enhancing the security and reliability of transactions. AI programs scan enormous amounts of transactional data in real time, identifying anomalies and preventing suspected fraud attempts. This pre-emptive measure lowers financial losses while enhancing consumer confidence in digital payments. As the technology of AI improves, banking and financial institutions will keep upgrading with advanced fraud detection mechanisms to provide smooth and safe digital payments. The increased adoption of AI-based security systems will propel India's fintech space into its next wave of digital payment transformation.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the region/country level for 2025-2033. Our report has categorized the market based on type, deployment model, and application.
Type Insights:
The report has provided a detailed breakup and analysis of the market based on the type. This includes solution and services.
Deployment Model Insights:
The report has provided a detailed breakup and analysis of the market based on the deployment model. This includes cloud-based and n-premises.
Application Insights:
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes virtual assistant (chatbots), credit scoring, quantitative and asset management, fraud detection, and others.
Regional Insights:
The report has also provided a comprehensive analysis of all the major regional markets, which include North India, South India, East India, and West India.
The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
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Base Year of the Analysis | 2024 |
Historical Period | 2019-2024 |
Forecast Period | 2025-2033 |
Units | Million USD |
Scope of the Report |
Exploration of Historical Trends and Market Outlook, Industry Catalysts and Challenges, Segment-Wise Historical and Future Market Assessment:
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Types Covered | Solution, Services |
Deployment Models Covered | Cloud-based, On-premises |
Applications Covered | Virtual Assistant (Chatbots), Credit Scoring, Quantitative and Asset Management, Fraud Detection, Others |
Regions Covered | North India, South India, East India, West India |
Customization Scope | 10% Free Customization |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
Key Questions Answered in This Report:
Key Benefits for Stakeholders: