PUBLISHER: Orion Market Research | PRODUCT CODE: 1778464
PUBLISHER: Orion Market Research | PRODUCT CODE: 1778464
Global Artificial Intelligence (AI) & Advanced Machine Learning (ML) in BFSI Market Size, Share & Trends Analysis Report by Component (Solution and Services), by Deployment (Cloud and On-Premises), and by Application (Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, and Others), Forecast Period (2025-2035)
Industry outlook
AI & advanced ML in the BFSI market is anticipated to grow at a CAGR of 15.5% during the forecast period (2025-2035). The growth of the AI and advanced machine learning market in the Banking, Financial Services, and Insurance (BFSI) sector is driven by the increasing demand for intelligent automation, enhanced risk management, and data-driven decision-making processes. Financial institutions are rapidly adopting AI technologies to streamline operations, improve customer service, and gain competitive advantages through advanced analytics and predictive modeling. The integration of AI enables banks and insurance companies to automate complex tasks, detect fraudulent activities, personalize customer interactions, and improve credit scoring and underwriting accuracy.
The global AI and advanced machine learning market in the BFSI sector is experiencing significant growth, primarily driven by the increasing need for fraud detection. Financial institutions are leveraging AI technologies to analyze vast datasets in real time, enabling the early identification of suspicious activities. Advanced machine learning algorithms enhance the accuracy and efficiency of fraud prevention systems. According to a new poll conducted by Certified Fraud Examiners (ACFE) and analytics pioneer SAS in 2022, the use of artificial intelligence (AI) and machine learning (ML) for fraud detection increased internationally. Department of Financial Services in a social media post stated that banks were directed to adopt advanced technologies, including AI/ML Solutions. According to the poll, fraud examiners identified this and other anti-fraud tech developments in a cross-industry that are extensively spreading. In 2024, data breaches in the financial sector and the cost of a breach soared to $4.88 million and also affected customers.
The global AI & advanced ML in BFSI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, Russia and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, ASEAN economies, Australia and New Zealand and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, Asia-Pacific is estimated to be the fastest-growing region owing to the growing adoption of AI & ML in banks of emerging economies of the region, such as India & China. In August 2023, the central bank (RBI) selected McKinsey and Company India LLP and Accenture Solutions Pvt Ltd India to develop systems that use AI and ML for supervisory functions.
The North American market for AI & advanced ML in BFSI is growing owing to the implementation of AI and superior machine learning (ML) solutions in the BFSI industry. This expansion is largely fostered by enhanced operational efficiency, better customer experience, and enhanced fraud detection powers. The convergence of AI and ML into critical segments of credit scoring, risk management, customized financial services, and robotic customer care is revolutionizing the BFSI industry in North America. The pace of uptake of AI-powered technology by US and Canadian banks is driven by the region's high technological backbone, high digitalization levels, and pro-innovation regulatory landscape in financial services.
The major companies serving global AI & advanced ML in BFSI market include Amazon Web Services Inc., Betterment Holdings, ComplyAdvantage.com, DataToBiz, Google Cloud, and Intel Corp. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.
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