Generative AI In Financial Services Market Size, Share & Trends Analysis Report By Application, By Deployment, By End-user, By Region, And Segment Forecasts, 2024 - 2030

Market Size & Trends

The global generative AI in financial services market size was estimated at USD 1,673.1 million in 2023 and is projected to grow at a CAGR of 39.1% from 2024 to 2030. Generative AI is revolutionizing customer engagement in the financial services sector by enabling highly personalized interactions. Through advanced data analytics, AI tailors financial advice, investment strategies, and customer service experiences to individual preferences, enhancing customer satisfaction. AI-powered chatbots and virtual assistants are increasingly capable of handling complex queries, streamlining transactions, and providing real-time financial guidance. This shift towards AI-driven customer experience not only boosts customer loyalty but also drives operational efficiency for financial institutions.

Generative AI is driving the automation of financial processes, leading to improved operational efficiency and reduced costs. AI-powered robo-advisors are increasingly offering automated investment management services, providing personalized advice with minimal human intervention. In the lending sector, AI is revolutionizing the underwriting process by quickly assessing the creditworthiness of borrowers through advanced data analysis. This automation not only speeds up financial processes but also enhances accuracy, ultimately benefiting both financial institutions and their customers.

Generative AI is enhancing risk management and fraud detection capabilities within financial institutions. By analyzing vast datasets in real-time, AI models can identify unusual transaction patterns and anomalies, significantly reducing the risk of fraud. Predictive analytics powered by AI enables financial institutions to anticipate and mitigate various risks, such as credit, market, and operational risks. This initiative-taking approach to risk management not only strengthens security but also ensures compliance with regulatory requirements, safeguarding both the institution and its clients.

Application Insights

The risk management segment led the market and accounted for 28.6% of the global revenue in 2023. The integration of Generative AI into compliance processes is streamlining regulatory adherence for financial institutions, significantly enhancing operational efficiency. By automating routine monitoring tasks and reporting obligations, Generative AI allows compliance teams to focus on strategic initiatives rather than manual processes. This automation not only reduces the risk of human error but also ensures that organizations can swiftly adapt to changing regulatory requirements. According to recent reports, financial firms that implement Generative AI can expect to achieve substantial cost savings while maintaining compliance standards. As the regulatory landscape becomes increasingly complex, the ability of Generative AI to provide real-time insights will be crucial for effective governance and risk management.

The rising demand for advanced financial forecasting tools is driving the adoption of generative AI in the financial services sector. By harnessing vast datasets, Generative AI delivers more precise predictions, enabling financial institutions to navigate market complexities with greater confidence. Through sophisticated pattern recognition, AI uncovers subtle trends that traditional forecasting methods often overlook, resulting in more reliable and actionable insights. This enhanced accuracy empowers organizations to anticipate market shifts, optimize resource allocation, and effectively mitigate risks. As companies increasingly rely on AI-driven insights, it is becoming an essential tool for strategic planning and improving overall financial performance in the competitive landscape of financial services.

Deployment Insights

The cloud-based segment has the largest revenue share in 2023. The increasing demand for secure and compliant cloud-based solutions is driving cloud providers to invest heavily in advanced security measures, making generative AI (Generative AI) applications more robust. These enhanced security protocols enable financial institutions to safeguard sensitive data and adhere to industry regulations such as GDPR and PCI DSS. By leveraging cloud-based AI, organizations can also improve their data management practices, allowing for effective monitoring, auditing, and control of data access. The integration of AI with cloud security features is essential for financial institutions to maintain trust and compliance in an increasingly complex regulatory environment. As these technologies evolve, they will play a crucial role in ensuring that financial services can operate securely and efficiently while meeting stringent compliance requirements.

The growing demand for high-performance computing in financial services is driving institutions to optimize on-premises solutions to meet the substantial computational power requirements of generative AI. Financial organizations with strong IT infrastructure can utilize their advanced computing capabilities to execute AI models more efficiently, thereby minimizing latency and enhancing response times. This performance edge is essential for applications like algorithmic trading, real-time fraud detection, and predictive analytics, where both speed and accuracy are critical. By implementing on-premises AI solutions, financial institutions can harness the computational strength necessary for these resource-intensive applications, ensuring they remain competitive in a challenging environment.

End-user Insights

The retail banking segment holds the largest market share of the global revenue in 2023. The increasing demand for faster and more efficient loan processing is driving the adoption of generative AI in retail banking. AI models are streamlining the underwriting and approval process by automating key aspects of the loan processing experience. By analyzing a wide range of data points, from traditional credit scores to alternative data sources like social media activity, AI can quickly assess creditworthiness and make informed lending decisions. This efficiency not only enhances the customer experience by reducing the time it takes to approve loans but also allows banks to process more loan applications with greater accuracy. The use of AI in loan processing is becoming a competitive advantage in the retail banking sector, where speed and precision are critical to staying ahead in a rapidly evolving market. As technology continues to advance, the integration of generative AI will be essential for banks looking to meet the growing expectations of their customers and maintain a strong position in the industry.

Generative AI is enhancing the regulatory compliance processes for investment firms by automating the monitoring and reporting of compliance activities. AI systems can efficiently track changes in regulations, evaluate their implications for investment strategies, and ensure that firms adhere to the latest compliance standards. This automation alleviates the administrative workload on compliance teams and significantly reduces the risk of incurring regulatory penalties. As regulatory frameworks become increasingly complex, the implementation of AI-driven compliance management is becoming essential for the operational efficiency of investment firms. By leveraging these advanced technologies, organizations can navigate the regulatory landscape more effectively and maintain their competitive edge.

Regional Insights

North America generative AI in financial services marketdominated globally with the largest revenue share of 39.7% in 2023. A prominent trend in North America is the automation of compliance and reporting processes through generative AI. Financial institutions are leveraging AI systems to monitor regulatory changes and assess their implications on business operations, significantly reducing the time and effort required for manual compliance tasks. For instance, Citi utilized Generative AI to analyze a complex regulatory proposal, enabling quicker assessments and more efficient compliance management. This automation not only alleviates the administrative burden on compliance teams but also minimizes the risk of regulatory penalties, making AI-driven compliance management essential for navigating the increasingly complex regulatory landscape.

U.S. Generative AI In Financial Services Market Trends

The generative AI in financial services marketin the U.S.dominated the North America region in 2023 in terms of revenue share. The growing sophistication of financial fraud is driving the adoption of Generative AI for advanced fraud detection in the U.S. financial sector. AI systems are leveraging machine learning algorithms to analyze transaction patterns and identify anomalies in real time. This capability enables financial institutions to detect and prevent fraudulent activities more effectively, reducing potential losses and maintaining customer trust. The increasing complexity of fraud schemes is pushing firms to invest in AI-driven solutions for robust fraud prevention.

Europe Generative AI In Financial Services Market Trends

The generative AI in financial services marketinEurope is driven by the thriving fintech landscape, with Generative AI playing a pivotal role in driving innovation. Financial institutions are leveraging AI to develop new products and services, such as personalized financial advice, automated trading platforms, and advanced fraud detection systems. The region's strong fintech ecosystem, supported by favorable regulations and a culture of innovation, is accelerating the integration of AI into mainstream financial services, enhancing competitiveness and customer experiences.

Asia Pacific Generative AI In Financial Services Market Trends

The Asia Pacific generative AI in financial services marketis anticipated to register the fastest CAGR over the forecast period. Generative AI is playing a crucial role in strengthening fraud prevention measures across the Asia-Pacific financial sector. AI systems analyze vast amounts of transaction data to detect and prevent fraudulent activities in real time. This advanced capability is particularly important in the region, where rapid digital transformation and increasing financial transactions are creating new opportunities for fraud. The implementation of AI for fraud detection is helping institutions safeguard their assets and maintain customer trust.

Key Generative AI In Financial Services Company Insights

The Generative AI in the Financial Services market is highly competitive, with a few key players dominating the landscape. Companies like AWS, EY, Google, HCL Technologies, IBM, and Intel are leading the charge, leveraging various strategies to grow their customer base and maintain their market position. These players are actively pursuing mergers, acquisitions, collaborations, partnerships, and new product launches to stay ahead of the competition and meet the evolving needs of the financial services sector. For instance, In February 2024, an EY report revealed that 61% of respondents in the Financial Services sector believe generative AI (Generative AI) will significantly enhance the entire value chain, leading to improved efficiency and responsiveness to market changes. The report estimates that Generative AI could contribute between USD 66 billion and USD 80 billion to the sector's Gross Value Added (GVA) by 2030. This potential economic impact underscores the transformative role of Generative AI in driving innovation and operational improvements within financial institutions.

Recent Developments

• In June 2023, Accenture forged a partnership with AWS, Microsoft, and Google to advance its capabilities in generative AI, becoming the first multi-cloud generative AI solution provider. This collaboration with AWS focuses on utilizing its advanced machine learning and AI technologies across diverse sectors, including financial services, customer support, life sciences, supply chain, and cybersecurity.

• In May 2023, AWS launched Amazon Aurora I/O-Optimized, a new configuration designed to enhance cost efficiency and predictability for I/O-intensive applications. This offering eliminates charges for I/O operations, allowing customers to pay solely for database instances and storage, and achieves up to 40% cost savings for applications where I/O costs exceed 25% of total Aurora database expenses.

Generative AI In Financial Services Market Report Scope

Global Generative AI In Financial Services Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and analyzes the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global generative AI in financial services market report based on application, deployment, end-user, and region.

• Application Outlook (Revenue, USD Million, 2018 - 2030)

  • Risk Management

  • Fraud Detection

  • Credit Scoring

  • Forecasting & Reporting

  • Customer Service and Chatbots

• Deployment Outlook (Revenue, USD Million, 2018 - 2030)

  • On-premises

  • Cloud-based

• End-user Outlook (Revenue, USD Million, 2018 - 2030)

  • Retail Banking

  • Corporate Banking

  • Insurance Companies

  • Investment Firms

  • Hedge Funds

  • FinTech Companies

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

  • Middle East and Africa (MEA)

    • UAE

    • KSA

    • South Africa