Groowe Groowe BETA / Newsroom
⏱ News is delayed by 15 minutes. Sign in for real-time access. Sign in

Robotic Process Automation in BFSI Market Report 2026 - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

globenewswire.com
IBM IBM is mentioned in the context of its '2025 Global Outlook for Banking and Financial Markets' report, where 60% of banking CEOs see significant risk as essential for automation benefits and competitiveness. This suggests a neutral stance, acknowledging the importance of automation but also the associated risks.

Dublin, Jan. 26, 2026 (GLOBE NEWSWIRE) -- The "Robotic Process Automation in BFSI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031" has been added to ResearchAndMarkets.com's offering.

The Global Robotic Process Automation in BFSI Market is projected to expand significantly, rising from USD 1.17 billion in 2025 to USD 6.26 billion by 2031, achieving a CAGR of 32.14%

The main factors driving this growth include the urgent need to cut operational costs, the necessity for flawless regulatory compliance, and the demand for scalable solutions to manage varying transaction loads. These economic and operational priorities differ from general technological trends by specifically targeting workflow optimization and the reduction of manual involvement in back-office tasks.

However, the market faces a major hurdle in merging modern automation tools with deep-rooted legacy systems and continuing manual payment methods. This conflict between digital advancements and analog traditions hinders the seamless end-to-end processing that financial institutions aim to establish. As noted by the Association for Financial Professionals in 2025, 91 percent of organizations reported using paper checks for business payments during the preceding year. This heavy dependence on outdated methods underscores the complex operational landscape RPA must address, which often complicates implementation and slows the achievement of a full return on investment.

Market Drivers

The incorporation of Artificial Intelligence for Cognitive Process Automation is transforming the Global Robotic Process Automation in BFSI Market by shifting workflows from strict, rule-based scripts to flexible, intelligent systems. Unlike standard bots that need structured inputs, AI-enhanced automation can process unstructured data, such as complex loan applications and compliance files, thereby expanding automation into front-office decision-making. This convergence of technologies is vital for institutions seeking to update operations while maintaining core infrastructure. According to IBM's '2025 Global Outlook for Banking and Financial Markets' published in January 2025, 60 percent of banking CEOs stated that accepting significant risk is essential to leverage these automation benefits and improve competitiveness.

At the same time, the increasing emphasis on automated fraud detection and risk management serves as a strong driver for adoption, necessitated by the rising sophistication of financial cybercrime. Institutions are utilizing RPA to monitor transaction patterns in real-time, allowing for the immediate flagging of anomalies to ensure regulatory adherence and reduce financial loss. The urgency of this issue is highlighted by the magnitude of capital at stake; the Federal Trade Commission's 'Consumer Sentinel Network Data Book' from March 2025 noted that consumers reported losing $12.5 billion to fraud in 2024, emphasizing the need for strong automated defenses. Despite this progress, the market encounters resistance from established analog practices; Rossum.ai reported in 2025 that 58 percent of finance leaders still rely on spreadsheets as their main technology tool, indicating a large potential market for modern automation.

Market Challenges

The main obstacle hindering the growth of the Global Robotic Process Automation in BFSI Market is the difficulty of unifying digital automation tools with established legacy infrastructure and enduring manual payment formats. Although RPA performs best with structured digital data, the ongoing dependence on analog items like paper checks introduces a significant gap in workflow processing. Financial institutions must use scanning and recognition technologies to digitize these physical documents, yet this technology frequently lacks the exact precision needed for straight-through processing. This limitation compels organizations to keep human verification steps in the loop, effectively disrupting the automation cycle and diminishing the speed and scalability that RPA is intended to provide.

Moreover, the operational risks linked to these outdated systems require strict manual oversight to meet regulatory standards. According to the Association for Financial Professionals, check-related Suspicious Activity Reports filed with the Financial Crimes Enforcement Network rose by 40 percent in 2024. This increase in compliance-related irregularities forces banks to allocate substantial resources to manual investigation and fraud resolution. Consequently, this continuing requirement for human intervention in back-office operations lowers the potential return on investment for automation initiatives and postpones the widespread adoption of fully autonomous financial processes.

Market Trends

The shift toward cloud-based RPA, frequently referred to as RPA-as-a-Service, is significantly reshaping the market by permitting financial institutions to overcome the scalability restrictions of on-premise infrastructure. This move allows banks to quickly deploy and grow automation capabilities across global operations without heavy capital spending on physical data centers, thereby lowering the total cost of ownership. This evolution toward flexible infrastructure is reflected in current strategic goals; according to the 'Bank of the Future 2024' report by American Banker in June 2024, 66 percent of surveyed banks are currently utilizing hyperscalers to progress cloud initiatives or intend to do so within the coming year. By embracing these cloud-native architectures, organizations can dynamically adjust their bot workforces to manage changing transaction volumes, effectively bypassing the stiffness of legacy environments.

Concurrently, the rise of low-code and no-code platforms is democratizing automation by enabling non-technical staff to act as citizen developers. This trend reduces the pressure on centralized IT teams, permitting business units to independently create and launch bots that resolve specific workflow bottlenecks in areas such as compliance and customer service. The drive behind this decentralized approach is substantial; the 'Citizen Development Trends' report by Kissflow in October 2024 reveals that 86 percent of businesses now maintain active citizen development programs. This transition not only speeds up digital transformation but also guarantees that automation solutions are built by the subject matter experts who possess the deepest understanding of financial processes and regulatory needs.

Key Players Profiled in the Robotic Process Automation in BFSI Market

Report Scope

In this report, the Global Robotic Process Automation in BFSI Market has been segmented into the following categories:

Robotic Process Automation in BFSI Market, by Type:

Robotic Process Automation in BFSI Market, by Deployment:

Robotic Process Automation in BFSI Market, by Organization:

Robotic Process Automation in BFSI Market, by Application:

Robotic Process Automation in BFSI Market, by Region:

Key Attributes:

For more information about this report visit https://www.researchandmarkets.com/r/vzhiag

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

Attachment