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Transforming the AI in BFSI Market in 2025: The Rising Utilization Of AI To Increase Efficiency Propelling The Growth Of AI in BFSI Market
What Is the Expected Size and Growth Rate of the AI in BFSI Market?The market size of AI in BFSI has seen significant growth in the last few years. It will expand from $72.84 billion in 2024 to $101.2 billion in 2025, growing at a compound annual growth rate (CAGR) of 38.9%. The historic period's growth is a result of increasing needs for better client experiences, broadening digital banking channels, increased automation of everyday procedures, growing utilization of AI for credit scoring, and an upsurge in the demand for improved investment methods.
Anticipated to exhibit an impressive surge in the coming years, the AI in BFSI market sector will reach a valuation of $374.02 billion by 2029, expanding at a Compound Annual Growth Rate (CAGR) of 38.7%. This substantial growth during the projection period is mostly influenced by the mounting demand for sophisticated fraud detection mechanisms, an escalating focus on cybersecurity measures, a rising need for automated customer support, an increased application of AI in evaluating portfolio risks, and a surging priority on AI in financial forecasting. Key trends during this projected timeframe encompass technological progress, real-time data interpretation, natural language processing, digital payment methods, and systems to thwart fraud.
What Factors Are Fueling Growth in the AI in BFSI Market?
The growing application of artificial intelligence to improve operational efficiency is anticipated to boost the advancement of AI in the BFSI sector in the future. AI embodies an array of technologies and algorithms that allow machines to mimic human intelligence, which includes tasks such as resolving problems, learning from data, and decision-making processes. The escalating use of AI for enhancing efficiency is the consequence of numerous factors like advancements in computational power and cloud technology that facilitate speedy processing and scalability of AI applications. AI algorithms sift through massive volumes of data to identify patterns, automate tasks like ad fraud detection, customize financial services, and refine investment choices. For example, a report by Stanford University, a premier research institution in the USA, stated in April 2024 that the total number of stars granted to AI-specific projects on GitHub noticeably rose in 2023, a surge from 4.0 million in 2022 to 12.2 million. Hence, the escalating use of AI to augment efficiency is fueling the growth of the AI in the BFSI industry.
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Which Leading Companies Are Shaping the Growth of the AI in BFSI Market?
Major companies operating in the AI in BFSI market are Amazon.com Inc., Google LLC, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce.com Inc., Atos SE, Moody's Analytics Inc., SAS Institute Inc., Databricks Inc., Teradata Corporation, Fair Isaac Corporation, The MathWorks Inc., Persistent Systems Limited, DataRobot Inc., Zest AI inc., H2O.AI inc., Avaamo Inc., Inbenta Holdings Inc., CognitiveScale Inc., RapidMiner Inc.
What Are the Major Trends Shaping the AI in BFSI Market?
Major players in the AI for BFSI sector are increasingly shifting focus towards innovation of sophisticated technologies such as predictive intelligence. This technology utilizes data analytics and machine learning to forecast future events and trends based on historical data, offering banks a more in-depth understanding of the patterns of their customers. For example, Newgen Software, a company from India specializing in digital transformation solutions, unveiled LumYn in May 2024. LumYn, a Generative AI-powered hyper-personalization platform created by Newgen Software, introduces a new dimension in the banking industry. Its aim is to level up customer experiences and increase profitability by offering profound insights into customer requirements, habits, inclinations, and objectives. Integrating predictive intelligence with cutting-edge conversational AI, it enables banks to effortlessly interact with customer data and quickly create solutions in a low-code environment.
What Are the Key Segments of the AI in BFSI Market?
The AI in BFSI market covered in this report is segmented -
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Learning Processing, Generative Artificial Intelligence (AI), Computer Vision, Other Technologies
3) By Application: Chatbot, Cyber Security, Risk Management, Predictive Analytics, Data Collection And Analysis, Other Applications
4) By End Use: Banking, Financial Services, Insurance
Subsegments:
1) By Hardware: AI-Specific Servers, GPUs and Accelerators for AI Processing, Data Storage Devices, Networking Equipment for AI Infrastructure
2) By Software: AI-Based Analytics Software, Fraud Detection and Risk Management Software, Chatbots and Virtual Assistants Software, AI-Driven Customer Relationship Management (CRM) Software, Predictive Analytics and Business Intelligence Tools, Robotic Process Automation (RPA) Software
3) By Services: AI Consulting and Integration Services, AI Deployment and Maintenance Services, AI Training and Support Services, Managed Services for AI Solutions, Cloud-Based AI Services
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Which Region Dominates the AI in BFSI Market?
North America was the largest region in the AI in BFSI market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in BFSI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Is Covered In The AI in BFSI Global Market Report?
- Market Size Analysis: Analyze the AI in BFSI Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the AI in BFSI Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall AI in BFSI Market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the AI in BFSI Market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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