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    Ai Automation In Banking Market

    ID: MRFR/ICT/32011-HCR
    128 Pages
    Aarti Dhapte
    September 2025

    AI and Automation in Banking Market Research Report By Technology (Machine Learning, Natural Land By Processing, Robotic Process Automation, Computer Vision), By Application (Fraud Detection, Customer Service, Risk Management, Loan Underwriting), By Deployment Type (On-Premises, Cloud-Based), By End Use (Retail Banking, Investment Banking, Corporate Banking, Insurance) and By Regional (North America, Europe, South America, Asia-Pacific, Middle East and Africa) - Forecast to 2032

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    Ai Automation In Banking Market Summary

    The Global AI and Automation in Banking Market is projected to grow from 18.5 USD Billion in 2024 to 60.6 USD Billion by 2035.

    Key Market Trends & Highlights

    AI and Automation in Banking Key Trends and Highlights

    • The market is expected to experience a compound annual growth rate (CAGR) of 11.41% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 60.6 USD Billion, indicating robust growth potential.
    • In 2024, the market is valued at 18.5 USD Billion, laying a strong foundation for future expansion.
    • Growing adoption of AI technologies due to increasing demand for operational efficiency is a major market driver.

    Market Size & Forecast

    2024 Market Size 18.5 (USD Billion)
    2035 Market Size 60.6 (USD Billion)
    CAGR (2025-2035) 11.41%

    Major Players

    Citi, Oracle, FIS, Verint Systems, JPMorgan Chase, Accenture, SAP, Microsoft, IBM, Capgemini, Infosys, Salesforce, NVIDIA, Goldman Sachs, Palantir Technologies

    Ai Automation In Banking Market Trends

    The need for enhanced efficiency and improved customer experiences drives global AI and automation in the banking market. As banks face increasing pressure to provide seamless services, the adoption of AI technologies enables them to streamline operations, reduce costs, and minimize risks associated with fraud. Automation allows for faster processing of transactions and enhances data management, which in turn supports better decision-making. Additionally, regulatory compliance is simplified through AI, helping institutions adhere to evolving laws and standards. There are significant opportunities to be explored in the integration of AI into various banking processes.

    Personalized customer experiences can be achieved by leveraging data analytics and machine learning, allowing banks to offer tailored products and services. Furthermore, the rise of digital-only banks presents potential market share captures for traditional banks through modernization initiatives. The potential for blockchain technology in automating various banking processes, such as settlements, provides avenues for increased security and efficiency. As customers increasingly demand 24/7 access to services, banks can harness AI to offer round-the-clock customer support, leading to higher satisfaction rates.

    Recent trends indicate a significant shift towards using AI tools for risk assessment and management as financial institutions seek to mitigate potential losses.

    The emergence of conversational AI through chatbots and virtual assistants indicates a growing preference for automation in customer interactions. Moreover, banks are increasingly investing in cybersecurity measures powered by AI, enhancing protection against cyber threats. As the landscape continues to evolve, collaboration between tech companies and financial institutions is likely to become more prevalent, driving innovation and creating new market dynamics. The focus on ethical AI practices is also gaining importance, ensuring that automated systems are transparent and fair, which is essential for maintaining customer trust in the banking sector.

    The integration of artificial intelligence and automation in banking is poised to enhance operational efficiency and customer engagement, reflecting a transformative shift in the financial services landscape.

    U.S. Department of the Treasury

    Ai Automation In Banking Market Drivers

    Increased Demand for Efficiency

    The Global AI and Automation in Banking Market Industry experiences heightened demand for operational efficiency. Financial institutions are increasingly adopting AI-driven solutions to streamline processes, reduce costs, and enhance customer experiences. Automation in routine tasks, such as transaction processing and customer service, allows banks to allocate resources more effectively. This trend is underscored by the projected market value of 18.5 USD Billion in 2024, indicating a robust shift towards automation. As banks strive to remain competitive, the integration of AI technologies appears essential for achieving efficiency and meeting customer expectations.

    Market Segment Insights

    AI and Automation in Banking Market Technology Insights

    The AI and Automation in Banking Market is witnessing robust growth, particularly within the Technology segment where it is anticipated to be valued at 16.85 USD Billion in 2023 and is projected to reach 44.0 USD Billion by 2032. This segment is expected to significantly contribute to market growth, propelled by advancements in various technological domains that include Machine Learning, Natural Language Processing, Robotic Process Automation, and Computer Vision.

     Machine Learning holds a prominent position in the market with valuations of 5.0 USD Billion in 2023 and expected growth to 13.5 USD Billion in 2032, representing the majority holding due to its ability to analyze vast amounts of data for predictive modeling and enhanced decision-making processes in banking.Natural Language Processing is also a key player, valued at 4.0 USD Billion in 2023 and projected to grow to 10.5 USD Billion by 2032; it plays a significant role in enabling banks to understand customer inquiries more effectively, thereby improving customer service experiences.

    Robotic Process Automation holds a strong market value of 4.5 USD Billion in 2023 and is expected to reach 11.5 USD Billion by 2032, reflecting its significance in automating repetitive tasks that drive operational efficiency within banking institutions.

    Meanwhile, Computer Vision, valued at 3.35 USD Billion in 2023 and expected to grow to 8.5 USD Billion by 2032, plays a vital role in fraud detection and management, emphasizing the importance of visual data analysis in ensuring security and compliance.Collectively, these technologies are driving a fundamental transformation in the banking sector, paving the way for innovative customer engagement strategies and streamlined operations across the industry.

    The diverse growth potential in the AI and Automation in Banking Market segmentation highlights the imperative need for banks to invest in these technologies to remain competitive and meet the evolving needs of their customers effectively.

    AI and Automation in Banking Market Application Insights

    AI and Automation in Banking Market Application Insights

    The AI and Automation in Banking Market is experiencing significant growth, with a projected market valuation of 16.85 USD Billion in 2023. Several applications are driving this expansion, including areas crucial to banking operations such as fraud detection, customer service, risk management, and loan underwriting. The demand for advanced fraud detection systems continues to rise as financial institutions seek to combat rising cyber threats; this segment plays a critical role in safeguarding assets and maintaining consumer trust. Customer service applications utilize AI-driven chatbots and virtual assistants to provide efficient and responsive support, significantly enhancing user experience.

    Risk management is crucial in predicting and mitigating potential financial pitfalls, allowing banks to make informed decisions. Meanwhile, loan underwriting benefits from automation and AI to streamline processes and improve accuracy, thus accelerating decision-making. Together, these applications contribute to the robust growth trajectory of Global AI and Automation in the Banking Market, highlighting its importance in modern banking operations. With ongoing technological advancements, the market is poised to reach a valuation of 44.0 USD Billion by 2032, reflecting a promising future influenced by these key applications.

    AI and Automation in Banking Market Deployment Type Insights

    AI and Automation in Banking Market Deployment Type Insights

    The AI and Automation in Banking Market, valued at 16.85 USD Billion in 2023, emphasizes the Deployment Type segment as vital for sector growth. This segment is primarily characterized by its division into On-Premises and Cloud-Based deployment models. On-premises solutions offer banks enhanced data security and compliance, making this approach significant for institutions handling sensitive financial information. Conversely, Cloud-Based solutions gain traction due to their scalability, cost-effectiveness, and ease of integration, catering to the dynamic needs of financial institutions looking to streamline operations.

    The AI and Automation in Banking Market statistics highlight an increasing preference for cloud services, signifying a transformative shift in the industry. This shift represents a major growth driver, enabling banks to leverage advanced technologies without hefty initial investments. However, despite the opportunities, challenges like data privacy and regulatory compliance persist within this segment. Overall, the AI and Automation in Banking Market revenue is bolstered by these deployment types, aligning with the sector's evolving needs.

    AI and Automation in Banking Market End-Use Insights

    AI and Automation in Banking Market End-Use Insights

    The AI and Automation in Banking Market, valued at 16.85 USD Billion in 2023, showcases a robust landscape influenced predominately by its End-use segments. Retail Banking emerges as a significant player, largely due to its ongoing transformation driven by AI to enhance customer experience and streamline operations. Furthermore, Investment Banking is increasingly leveraging automation for data analysis and transaction processing, thereby optimizing productivity and decision-making. Corporate Banking is also a noteworthy segment, employing AI-powered solutions to improve risk management and compliance processes.

    Insurance firms are harnessing AI benefits to refine underwriting and claims processing, which enhances operational efficiency and customer satisfaction. Together, these sectors drive market growth, reflecting a notable adoption of advanced technologies across the banking industry. Rising demand for improved customer engagement and operational efficiencies within these End-use segments continues to contribute to the market's expansion. The AI and Automation in Banking Market data points to a trend of increasing investment in AI solutions, emphasizing the vital role these technologies play in shaping the future of banking.

    Get more detailed insights about Ai And Automation In Banking Market Research Report - Global Forecast till 2032

    Regional Insights

    The AI and Automation in Banking Market demonstrates a solid foundation across various regions, with North America leading the way as a significant contributor to the overall market. In 2023, North America was valued at 6.5 USD Billion, expected to grow to 17.0 USD Billion by 2032, indicating its majority holding in the market.

    Europe follows as a critical player, valued at 4.0 USD Billion in 2023 and projected to reach 10.5 USD Billion, showcasing its considerable role in adopting AI and automation solutions. The APAC region also shows promise, valued at 3.5 USD Billion in 2023 and anticipated to evolve to 9.0 USD Billion, driven by rapid digital transformation in banking.South America and MEA, while smaller in comparison, hold respective values of 1.2 USD Billion and 1.6 USD Billion in 2023, with projections of reaching 3.0 USD Billion and 4.5 USD Billion by 2032.

    The relatively lower valuations in these regions highlight emerging opportunities for growth as banks increasingly recognize the importance of AI and automation in enhancing efficiency and customer experience.

    Overall, the AI and Automation in Banking Market segmentation underscores North America's dominance while also highlighting the potential for growth and innovation across Europe, APAC, South America, and MEA.

    AI and Automation in Banking Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    The AI and Automation in Banking Market is characterized by a rapidly evolving landscape where innovative technologies are transforming traditional practices. With the increasing demand for efficiency, accuracy, and enhanced customer experiences, banks have turned to artificial intelligence and automation solutions to modernize their operations. Competitive insights reveal that key players are focusing on harnessing advanced technologies such as machine learning, robotic process automation, and natural language processing to improve decision-making, streamline processes, and enhance risk management frameworks.

    The market is segmented into various applications, including risk assessment, fraud detection, customer service, and compliance management, each contributing to the overall growth and competitiveness of service providers within the banking sector.

    Citi has established a significant presence in the Global AI and Automation in the Banking Market by leveraging its strong global network and technological expertise. The company integrates AI-driven solutions that enhance customer interactions and help optimize banking operations through automation. One of Citi's primary strengths lies in its investment in cutting-edge technology that promises to deliver personalized banking experiences. The company employs advanced analytics and machine learning algorithms to refine risk assessment processes and improve decision-making efficiency. Furthermore, Citi is recognized for its commitment to industry compliance, utilizing automation to streamline adherence to regulatory requirements.

    This strategic focus not only positions Citi as a trusted banking partner but also enables the institution to stay competitive in an increasingly demanding market.

    Oracle plays a crucial role in the Global AI and Automation in the Banking Market by offering a robust suite of AI-based solutions that empower banks to innovate their service offerings. The company's strength is rooted in its comprehensive cloud infrastructure, which enables financial institutions to deploy scalable AI and automation solutions seamlessly. Oracle's solutions focus on enhancing operational efficiency and providing deep insights through advanced data analytics. Moreover, the company emphasizes improving customer engagement by facilitating personalized banking services that leverage AI to predict customer needs and preferences.

    Oracle's reputation for reliability and state-of-the-art technology positions it as a key player in enabling banks to thrive in a fast-paced, competitive environment where agility and insight are paramount.

    Key Companies in the Ai Automation In Banking Market market include

    Industry Developments

    • Q2 2025: Salesforce launched Agentforce in September 2024 (and Agentforce 2dx, a new version in May 2025), a platform that can embed agentic AI into banking workflows Salesforce introduced Agentforce, and subsequently Agentforce 2dx, platforms designed to embed agentic AI into banking operations, enabling automation of complex tasks such as credit underwriting and treasury management.
    • Q2 2025: nCino Banking Advisor exemplifies this trend, providing a banking-focused generative AI solution that reduces manual processes and redundant data entry nCino launched Banking Advisor, a generative AI solution tailored for banks to automate manual processes, streamline data entry, and improve workflow efficiency in lending and onboarding.
    • Q2 2024: Salesforce launched Agentforce in September 2024 (and Agentforce 2dx, a new version in May 2025), a platform that can embed agentic AI into banking workflows Salesforce launched Agentforce, a platform enabling banks to integrate agentic AI for automating and optimizing various banking processes, marking a significant step in AI-driven banking automation.
    • Q2 2024: BAC Community Bank in Stockton, California, which has about US$800 million in assets, launched an AI-powered app that answers user questions and assigns a nearby banker to serve as their point of contact BAC Community Bank introduced an AI-powered application to enhance customer service by automating responses to user queries and connecting customers with local bankers.
    • Q2 2024: In May 2024, the bank revealed that a solution built to nudge customers who abandon a product application using AI resulted in a 10% to 20% boost to completion rates JPMorgan deployed an AI-based solution to re-engage customers who abandoned product applications, resulting in a significant increase in completion rates.

    Future Outlook

    Ai Automation In Banking Market Future Outlook

    The AI and Automation in Banking Market is projected to grow at 11.41% CAGR from 2024 to 2035, driven by technological advancements, regulatory changes, and enhanced customer experiences.

    New opportunities lie in:

    • Implement AI-driven fraud detection systems to reduce losses and enhance security.
    • Develop personalized banking solutions using automation to improve customer engagement.
    • Leverage robotic process automation for operational efficiency and cost reduction.

    By 2035, the market is expected to be robust, characterized by widespread AI integration and enhanced operational capabilities.

    Market Segmentation

    AI and Automation in Banking Market End-Use Outlook

    • Retail Banking
    • Investment Banking
    • Corporate Banking
    • Insurance

    AI and Automation in Banking Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia-Pacific
    • Middle East and Africa

    AI and Automation in Banking Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Robotic Process Automation
    • Computer Vision

    AI and Automation in Banking Market Application Outlook

    • Fraud Detection
    • Customer Service
    • Risk Management
    • Loan Underwriting

    AI and Automation in Banking Market Deployment Type Outlook

    • On-Premises
    • Cloud-Based

    Report Scope

    Report Attribute/Metric Details
    Market Size 2022 15.15(USD Billion)
    Market Size 2023 16.85(USD Billion)
    Market Size 2032 44.0(USD Billion)
    Compound Annual Growth Rate (CAGR) 11.25% (2024 - 2032)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2023
    Market Forecast Period 2024 - 2032
    Historical Data 2019 - 2022
    Market Forecast Units USD Billion
    Key Companies Profiled Citi, Oracle, FIS, Verint Systems, JPMorgan Chase, Accenture, SAP, Microsoft, IBM, Capgemini, Infosys, Salesforce, NVIDIA, Goldman Sachs, Palantir Technologies
    Segments Covered Technology, Application, Deployment Type, End Use, Regional
    Key Market Opportunities Enhanced fraud detection systems, Personalized customer service solutions, Streamlined regulatory compliance processes, Optimized risk management strategies, Efficient loan processing automation
    Key Market Dynamics AI-driven customer personalization, Cost reduction through automation, Enhanced fraud detection capabilities, Regulatory compliance automation, Improved operational efficiency
    Countries Covered North America, Europe, APAC, South America, MEA

    FAQs

    What is the projected market size of the AI and Automation in Banking Market by 2032?

    The projected market size of the AI and Automation in Banking Market is expected to reach 44.0 USD Billion by 2032.

    What is the expected CAGR for the AI and Automation in Banking Market from 2024 to 2032?

    The expected CAGR for the AI and Automation in Banking Market from 2024 to 2032 is 11.25%.

    Which region is expected to have the largest market share in the AI and Automation in Banking Market by 2032?

    North America is expected to hold the largest market share, valued at 17.0 USD Billion by 2032.

    What are the key players in the AI and Automation in Banking Market?

    Key players in the AI and Automation in Banking Market include Citi, Oracle, FIS, Verint Systems, JPMorgan Chase, and Accenture, among others.

    What is the estimated market value for Machine Learning in the AI and Automation in Banking Market by 2032?

    The estimated market value for Machine Learning in the AI and Automation in Banking Market is projected to be 13.5 USD Billion by 2032.

    What is the expected market value for Robotic Process Automation in 2032?

    Robotic Process Automation is expected to reach a market value of 11.5 USD Billion by 2032 in the AI and Automation in Banking Market.

    How much is the AI and Automation in Banking Market in Europe projected to be valued by 2032?

    The AI and Automation in Banking Market in Europe is projected to be valued at 10.5 USD Billion by 2032.

    What is the projected market value for Natural Language Processing in the AI and Automation in Banking Market by 2032?

    Natural Language Processing is projected to have a market value of 10.5 USD Billion by 2032 in the AI and Automation in Banking Market.

    What is the market size for the AI and Automation in Banking Market in South America by 2032?

    The market size for the AI and Automation in Banking Market in South America is expected to be 3.0 USD Billion by 2032.

    What is the future outlook for the AI and Automation in Banking Market in terms of growth drivers?

    The AI and Automation in Banking Market is expected to experience growth driven by increasing efficiency and enhanced customer experiences.

    Ai And Automation In Banking Market Research Report - Global Forecast till 2032 Infographic
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