PUBLISHER: KBV Research | PRODUCT CODE: 1593711
PUBLISHER: KBV Research | PRODUCT CODE: 1593711
The Global Generative AI in BFSI Market size is expected to reach $8.7 billion by 2031, rising at a market growth of 32.7% CAGR during the forecast period.
Countries like the UK, Germany, and France led the charge, with financial entities leveraging generative AI to streamline operations and offer personalized services. The European Union's initiatives to promote AI research and development further bolstered the market's growth, ensuring that Europe remained a key player in the global generative AI BFSI landscape. Thus, the Europe segment garnered 30% revenue share in the market in 2023. The region's focus on digital transformation and stringent regulatory standards prompted financial institutions to adopt AI-driven solutions for compliance, risk management, and customer service enhancement.
The adoption of generative AI facilitates improved operational agility. Financial institutions that harness AI can more quickly adapt their products and services, responding to regulatory changes, economic fluctuations, or customer feedback. This flexibility keeps them compliant and strengthens their position as market leaders by demonstrating responsiveness to client needs. Thus, such instances are increasing the demand for generative AI in BFSI sector. Additionally, reducing manual compliance efforts significantly decreases operational costs and reallocates employee time to higher-value tasks, such as strategic planning and risk management. Additionally, generative AI models can identify potential compliance issues early, alerting institutions to potential risks before they escalate. This proactive approach safeguards against regulatory penalties and builds greater trust with clients and stakeholders by ensuring that the institution operates transparently and within legal boundaries. Hence, AI's role in regulatory compliance and reporting transforms the BFSI sector, propelling the market's growth.
However, the complexity of generative AI necessitates a robust data infrastructure to effectively manage, process, and store the immense quantities of data necessary for the training of these models. Financial institutions often must invest in sophisticated data management solutions and ensure data security, further driving up costs. There may also be additional expenses related to model validation and testing, which are necessary to ensure the AI operates correctly, ethically, and in compliance with regulatory standards. Given that generative AI solutions are relatively new, the cost of customization, troubleshooting, and support can also be higher, adding to the financial burden. Thus, these cumulative costs can be prohibitive, forcing them to weigh the benefits of generative AI against more traditional, cost-effective solutions, thereby slowing market expansion.
End-user Outlook
Based on end-user, the market is classified into banks, insurance companies, and financial service providers. The insurance companies segment procured 34% revenue share in the market in 2023. Insurance firms use AI to analyze vast amounts of data, enabling them to accurately predict policyholder behaviors, assess risk profiles, and personalize offerings. AI-driven automation in claims processing accelerates the settlement process, enhancing customer experience and operational efficiency. Additionally, generative AI helps detect fraudulent activities early by analyzing patterns, making it a valuable tool in risk management.
Application Outlook
On the basis of application, the market is divided into fraud detection, risk assessment, customer experience, algorithmic trading, and others. The algorithmic trading segment recorded 14% revenue share in the market in 2023. In the algorithmic trading segment, generative AI is crucial in automating trading strategies and analyzing vast amounts of market data to make split-second trading decisions. AI-driven algorithms can identify profitable trading patterns, predict market movements, and optimize asset allocations, allowing financial institutions to maximize returns.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment witnessed 39% revenue share in market in 2023. North America led with the highest revenue share, driven by substantial investments in AI technologies and a robust technological infrastructure. The presence of major financial institutions and tech companies in the U.S. and Canada facilitated the integration of generative AI solutions, enhancing customer experiences and operational efficiencies.
Recent Strategies Deployed in the Market
List of Key Companies Profiled
Global Generative AI in BFSI Market Report Segmentation
By End-User
By Application
By Geography