Overview
Generative AI in BFSI refers to the application of advanced machine learning algorithms to generate content or simulations that simulate human responses and behaviors, providing financial institutions with a way to increase operational efficiencies, enhance customer experiences, and mitigate risks more effectively. This technology has quickly become an industry standard as financial institutions embrace it for better operational efficiencies, enhanced customer experiences, and reduced risks.
Generative AI in BFSI Industry size is expected to be worth around USD 9265.7 Mn by 2032 from USD 1,785.4 Mn in 2022, growing at a CAGR of 18.4% during the forecast period from 2023 to 2032.
Key Market Segments
Based on Organization Type
- Banks
- Insurance companies
- Financial service providers
- Other Organization Types
Based on Application
- Fraud detection
- Risk assessment
- Customer experience
- Algorithmic trading
- Other Applications
Based on Deployment Mode
- On-premise
- Cloud-based
Regional Analysis
Adoption of Generative AI within BFSI can vary significantly by region. North American financial institutions have been at the forefront of adopting this technology; Europe has seen tremendous expansion of AI-powered chatbots for customer service purposes while Asia-Pacific seeks out Generative AI solutions to meet its rapidly expanding customer base.
Top Key Players in Generative AI in the BFSI Industry
- DataRobot
- Quantifind
- OpenAI
- Accenture
- SAS
- Other Market Players
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