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Sherry James
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Generative AI in Fintech Market Report 2023-2030: Revenue Forecast & CAGR Analysis
The global generative AI in fintech market size was estimated at USD 888.8 million in 2022 and is projected to reach USD 9.87 billion by 2030, growing at a CAGR of 36.1% from 2023 to 2030.

BriefingWire.com, 9/24/2025 - The global generative AI in fintech market size was estimated at USD 888.8 million in 2022 and is projected to reach USD 9.87 billion by 2030, growing at a CAGR of 36.1% from 2023 to 2030. Due to the growing use of artificial intelligence (AI) in the financial sector, the rising need for individualized financial advice, the increasing prevalence of fraud, and the growing complexity of the financial markets, the market is growing quickly.

Key Market Trends & Insights

• North America region held the highest revenue share of 34.67% in 2022.

• Asia Pacific is anticipated to emerge as the fastest-growing regional market, with the fastest CAGR of 44.2% over the forecast period.

• In terms of component, the software segment dominated the market in 2022 with a revenue share of 62.49%.

• In terms of deployment, the on-premises segment dominated the market in 2022 with a revenue share of 60.0%.

Task automation, better decision-making, risk reduction, fraud detection, and market data analysis are all efficiently performed by generative AI. As technology advances, even more advanced generative AI applications in the financial sector are anticipated.

The rising availability of data is one of the primary elements leading to the rise of generative AI in the fintech business. Massive amounts of data are produced as more and more financial interactions and transactions are performed through digital channels, providing important insights into consumer behavior, market trends, and financial patterns. This abundance of data makes it possible for generative AI models to be trained and improved, resulting in outputs that are more precise and pertinent to the context.

Generative AI can generate synthetic data that simulates various financial scenarios, assisting in risk modeling and stress testing. It can also aid in training fraud detection algorithms by providing synthetic data that can be used to discover patterns of fraudulent activity.

Key Companies & Market Share Insights

The market is quite competitive with the presence of so many well-known businesses. Agreements, expansions, partnerships, and joint ventures have all been employed by players. They are creating new solutions/products with faster speeds and enhanced features to diversify their product line and keep a significant market share. For instance, PayPal and Stripe's payment processing systems will utilize machine learning algorithms to detect and prevent unauthorized activity. As a result, users' financial information will be safer and more secure during online transactions.

In another instance,in June 2023, Bank of America and Palantir will utilize machine learning to analyze massive volumes of data and continually learn from trends in their fraud detection system. It will enable the system to spot suspicious activity and reduce financial fraud. Some prominent players in the global generative AI in fintech market include:

• Open AI

• Microsoft Corporation

• Google LLC

• Genie AI Ltd.

• IBM Corporation

• MOSTLY AI Inc.

• Veesual AI

• Adobe Inc.

Order a free sample PDF of the Generative AI In Fintech Market Intelligence Study, published by Grand Vi

 
 
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