Artificial Intelligence (AI) in BFSI Market

Artificial Intelligence (AI) in BFSI Market Size, Share, Growth Analysis, By Component, Application(Chatbot, Risk Management, Predictive Analytics, Others), Technology(ML, NLP, Generative AI, Computer Vision), End Use (Banking, Financial Services, Insurance), and Region - Industry Forecast 2024-2031


Report ID: SQMIG40A2015 | Region: Global | Published Date: June, 2024
Pages: 197 | Tables: 122 | Figures: 77

Artificial Intelligence (AI) in Banking, Financial Services, and Insurance (BFSI) Market Competitive Landscape

The global artificial intelligence in BFSI market is highly opportune as the use of AI in this industry is in its initial stages. New companies have a good chance of penetrating and succeeding in this market provided they come up with unique AI solutions for different BFSI applications. Integration of AI with other advanced technologies such as blockchain will also create new opportunities for AI in BFSI market players. Creating personalized finance recommendations and user experience will be a key trend that all AI in BFSI providers will be targeting in the long run. 

Top Player’s Company Profiles

  • IBM (US) 
  • Microsoft (US) 
  • Google Cloud (US) 
  • AWS Inc. (US) 
  • NVIDIA (US) 
  • H2O.ai (US) 
  • DataRobot (US) 
  • Kabbage (US) 
  • Upstart (US) 
  • Zest AI (US) 
  • Ayasdi (US) 
  • Darktrace (UK) 
  • Feedzai (Portugal) 
  • Kensho Technologies (US) 
  • JPMorgan Chase (US) 
  • Bank of America (US) 
  • Wells Fargo (US) 
  • Lemonade (US) 
  • Clover Health (US) 
  • Zego (UK)

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Global Artificial Intelligence (AI) in BFSI Market size was valued at USD 20.15 Billion in 2022 and is poised to grow from USD 26.24 Billion in 2023 to USD 246.04 Billion by 2031, growing at a CAGR of 32.5% in the forecast period (2024-2031).

The global artificial intelligence in BFSI market is highly opportune as the use of AI in this industry is in its initial stages. New companies have a good chance of penetrating and succeeding in this market provided they come up with unique AI solutions for different BFSI applications. Integration of AI with other advanced technologies such as blockchain will also create new opportunities for AI in BFSI market players. Creating personalized finance recommendations and user experience will be a key trend that all AI in BFSI providers will be targeting in the long run.  'IBM (US) ', 'Microsoft (US) ', 'Google Cloud (US) ', 'AWS Inc. (US) ', 'NVIDIA (US) ', 'H2O.ai (US) ', 'DataRobot (US) ', 'Kabbage (US) ', 'Upstart (US) ', 'Zest AI (US) ', 'Ayasdi (US) ', 'Darktrace (UK) ', 'Feedzai (Portugal) ', 'Kensho Technologies (US) ', 'JPMorgan Chase (US) ', 'Bank of America (US) ', 'Wells Fargo (US) ', 'Lemonade (US) ', 'Clover Health (US) ', 'Zego (UK)'

AI-powered tools and solutions are being continuously used to improve the user experience in the BFSI industry. From chatbots to digital assistants, every solution is being backed by AI to give customers a better experience and also provide them round-the-clock support. Faster response and turnaround times can be achieved by deployment of AI thereby improving customer experience.

Personalization through AI: BFSI companies can deploy AI to generate personalized financial solutions and services for their customers by training AI on their data. This could help BFSI companies improve their business scope and enhance the overall customer experience as well.  

The presence of leading commercial banks and financial institutions in the North American region allow it to emerge as a leader in the global AI in BFSI market.  High adoption of AI technologies by multiple BFSI organizations in this region and growing investments in AI integration are helping the region maintain its dominance. Moreover, the presence of strict regulatory framework is also necessitating the use of risk and compliance management solutions powered by advanced technologies in countries such as Canada and the United States.

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Artificial Intelligence (AI) in BFSI Market

Report ID: SQMIG40A2015

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