Global Robotic Process Automation in BFSI Market 2025-2035
Description
Robotic Process Automation in BFSI Market Size, Share & Trends Analysis Report by Type (Software, and Services), by Organization (Small and Mid-Size Enterprises (SMEs), and Large Enterprises), by Component (Consulting, Platform and Training), and by Application (Banking, and, Financial Services and Insurance) Forecast Period (2025-2035)
Industry Overview
Robotic process automation in BFSI market was $1.0 billion in 2024 and is growing at a CAGR of 41.1% during the forecast period (2025-2035). The growing adoption of artificial intelligence and machine learning (AI & ML) across the BFSI sector is expected to drive the RPA in the BFSI market during the forecast period. The integration of AI & ML with RPA globally is transforming traditional automation into Intelligent Automation (IA) in BFSI. For instance, in March 2025, the Central Bank Governor of India urged the BFSI sector to adopt AI for consumer complaints. The governor discussed that the banks can implement AI for internal controls such as addressing consumer complaints on mis-selling and aggressive practices. Thus, by adopting AI along with RPA software bots, banks and other financial institutions can automatically classify complaints, and monitor compliance to result in faster and more accurate management systems.
Market Dynamics
Surge in Transaction Volumes and Digital Demand
The growing use of digital banking, online payments, and real-time financial services raised the volume and complexity of transactions. As digital banking and transaction volumes are increasing day by day, the banks need to process daily to reduce complexities. For instance, in March 2025, the National Payments Corporation of India (NPCI) announced that India’s Unified Payments Interface (UPI) had crossed 18 billion transactions in a single month. The corporation also announced that the total transaction count surged to 18.30 billion in March 2025, up from 16.11 billion in February. This surge in transactions reflects a 13.6% month-on-month growth and a 36% increase compared to the same period last year. Thus, RPA can lend a hand to banks and financial institutions to automate back-end operations such as transaction validation, reconciliations, KYC updates, and loan processing with faster turnaround time and reduced errors.
Customer Demand for Real-Time Services
The customers globally demand real-time services and customers expect instant and seamless financial services is expected to drive the RPA adoption in the BFSI sector. RPA automates processes with high speed and accuracy to ensure transactions, verifications, and communications will further propel the market growth. By integrating software bots for faster service delivery, and reducing turnaround times to enhance customer satisfaction, the market will grow at a substantial growth rate.
Market Segmentation
Among types, the market for the software segment is increasing owing to increasing demand from BFSI for scalable, intelligent automation tools that enhance operational efficiency, compliance, and customer service. For instance, in January 2023, Deutsche Bank and its Blue Water Fintech Lab implemented RPA to introduce a Data Processing and Reconciliation Solution. The solution aims to help corporate treasurers automate and streamline complex processes. Further, the RPA solution will make it easier to provide management with real-time data and actionable insights for decisive strategies.
Large Enterprises: A Key Segment in Market Growth
The growing need for RPA in large BFSI sectors to simplify their complex operations, high transaction volumes, and need for scalability is propelling the growth of the market during the forecast period. For instance, in October 2023, UiPath announced that the company has collaborated with major Polish banks such as PKO Bank Polski and Bank Pekao S.A. to implement RPA in response to Poland’s national mortgage repayment deferral policy. The platform enabled these banks to automate high application volumes, cut handling time, and avoid extra staffing. The platform enhanced both service quality and internal digital skills.
Regional Outlook
The global robotic process automation in BFSI market is further divided by geography, including North America (the US and Canada), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), and the Rest of the World (the Middle East & Africa, and Latin America).
Asia-Pacific Holds a Considerable Share of the RPA Market
Asia-Pacific is anticipated to hold a prominent share of the market across the globe owing to the expansion of the financial sector, rising customer expectations, growing focus on digitalization, and strategic initiatives by banks to implement RPA. The BFSI in the region is collaborating with RPA providers to enhance operational efficiency and customer engagement capabilities. For instance, in December 2024, UiPath and The Bank of East Asia collaborated to leverage UiPath enterprise automation solutions. The solution was implemented to save hours in processing time, resulting in enhanced productivity. According to the Consensus, the digital asset adoption in the Asia Pacific region will reach 22% in 2024.
North America Region Dominates the Market with Major Share
North America holds a significant share owing to the presence of RPA in BFSI offering companies such as UiPath, IBM, Automation Anywhere, and others. The companies in the region offer robust digital infrastructure and early adoption of automation in BFSI Sectors. For instance, in August 2024, UiPath, the US-based company recognized by Gartner Magic Quadrant as an RPA Leader in 2024. The company was named as a RPA Leader for the sixth year in a row.
Market Players Outlook
The major companies operating in the global RPA in BFSI market include Appian Corp., Automation Anywhere, Inc., AutomationEdge Pvt. Ltd., IBM Corp., Blue Prism Ltd., and SAP SE, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Development
Industry Overview
Robotic process automation in BFSI market was $1.0 billion in 2024 and is growing at a CAGR of 41.1% during the forecast period (2025-2035). The growing adoption of artificial intelligence and machine learning (AI & ML) across the BFSI sector is expected to drive the RPA in the BFSI market during the forecast period. The integration of AI & ML with RPA globally is transforming traditional automation into Intelligent Automation (IA) in BFSI. For instance, in March 2025, the Central Bank Governor of India urged the BFSI sector to adopt AI for consumer complaints. The governor discussed that the banks can implement AI for internal controls such as addressing consumer complaints on mis-selling and aggressive practices. Thus, by adopting AI along with RPA software bots, banks and other financial institutions can automatically classify complaints, and monitor compliance to result in faster and more accurate management systems.
Market Dynamics
Surge in Transaction Volumes and Digital Demand
The growing use of digital banking, online payments, and real-time financial services raised the volume and complexity of transactions. As digital banking and transaction volumes are increasing day by day, the banks need to process daily to reduce complexities. For instance, in March 2025, the National Payments Corporation of India (NPCI) announced that India’s Unified Payments Interface (UPI) had crossed 18 billion transactions in a single month. The corporation also announced that the total transaction count surged to 18.30 billion in March 2025, up from 16.11 billion in February. This surge in transactions reflects a 13.6% month-on-month growth and a 36% increase compared to the same period last year. Thus, RPA can lend a hand to banks and financial institutions to automate back-end operations such as transaction validation, reconciliations, KYC updates, and loan processing with faster turnaround time and reduced errors.
Customer Demand for Real-Time Services
The customers globally demand real-time services and customers expect instant and seamless financial services is expected to drive the RPA adoption in the BFSI sector. RPA automates processes with high speed and accuracy to ensure transactions, verifications, and communications will further propel the market growth. By integrating software bots for faster service delivery, and reducing turnaround times to enhance customer satisfaction, the market will grow at a substantial growth rate.
Market Segmentation
- Based on the type, the market is segmented into software and services.
- Based on the organization, the market is segmented into small and mid-size enterprises (SMEs), and large enterprises.
- Based on the component, the market is segmented into consulting, platform, and training.
- Based on the application, banking, and, financial services and insurance
Among types, the market for the software segment is increasing owing to increasing demand from BFSI for scalable, intelligent automation tools that enhance operational efficiency, compliance, and customer service. For instance, in January 2023, Deutsche Bank and its Blue Water Fintech Lab implemented RPA to introduce a Data Processing and Reconciliation Solution. The solution aims to help corporate treasurers automate and streamline complex processes. Further, the RPA solution will make it easier to provide management with real-time data and actionable insights for decisive strategies.
Large Enterprises: A Key Segment in Market Growth
The growing need for RPA in large BFSI sectors to simplify their complex operations, high transaction volumes, and need for scalability is propelling the growth of the market during the forecast period. For instance, in October 2023, UiPath announced that the company has collaborated with major Polish banks such as PKO Bank Polski and Bank Pekao S.A. to implement RPA in response to Poland’s national mortgage repayment deferral policy. The platform enabled these banks to automate high application volumes, cut handling time, and avoid extra staffing. The platform enhanced both service quality and internal digital skills.
Regional Outlook
The global robotic process automation in BFSI market is further divided by geography, including North America (the US and Canada), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), and the Rest of the World (the Middle East & Africa, and Latin America).
Asia-Pacific Holds a Considerable Share of the RPA Market
Asia-Pacific is anticipated to hold a prominent share of the market across the globe owing to the expansion of the financial sector, rising customer expectations, growing focus on digitalization, and strategic initiatives by banks to implement RPA. The BFSI in the region is collaborating with RPA providers to enhance operational efficiency and customer engagement capabilities. For instance, in December 2024, UiPath and The Bank of East Asia collaborated to leverage UiPath enterprise automation solutions. The solution was implemented to save hours in processing time, resulting in enhanced productivity. According to the Consensus, the digital asset adoption in the Asia Pacific region will reach 22% in 2024.
North America Region Dominates the Market with Major Share
North America holds a significant share owing to the presence of RPA in BFSI offering companies such as UiPath, IBM, Automation Anywhere, and others. The companies in the region offer robust digital infrastructure and early adoption of automation in BFSI Sectors. For instance, in August 2024, UiPath, the US-based company recognized by Gartner Magic Quadrant as an RPA Leader in 2024. The company was named as a RPA Leader for the sixth year in a row.
Market Players Outlook
The major companies operating in the global RPA in BFSI market include Appian Corp., Automation Anywhere, Inc., AutomationEdge Pvt. Ltd., IBM Corp., Blue Prism Ltd., and SAP SE, among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.
Recent Development
- In September 2024, Close Brothers implemented RPA for unstructured documents. With RPA, the company implemented Document Understanding that could automate the reconciliation of documents submitted by customers and enable automation of the end-to-end payout process. With this, if information is missed from the customer’s end then it can automatically request it from the customers.
- Market value data analysis for 2024 and forecast to 2035.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global robotic process automation in the BFSI market. Based on the availability of data, information related to new products, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
Table of Contents
205 Pages
- 1. Report Summary
- Current Industry Analysis and Growth Potential Outlook
- Global Robotic Process Automation in BFSI Market Sales Analysis – Type | Organization | Component | Application ($ Million)
- Robotic Process Automation in BFSI Market Sales Performance of Top Countries
- 1.1. Research Methodology
- Primary Research Approach
- Secondary Research Approach
- 1.2. Market Snapshot
- 2. Market Overview and Insights
- 2.1. Scope of the Study
- 2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Robotic Process Automation in BFSI Industry Trends
- 2.2.2. Market Recommendations
- 2.3. Porter's Five Forces Analysis for the Robotic Process Automation in BFSI Market
- 2.3.1. Competitive Rivalry
- 2.3.2. Threat of New Entrants
- 2.3.3. Bargaining Power of Suppliers
- 2.3.4. Bargaining Power of Buyers
- 2.3.5. Threat of Substitutes
- 3. Market Determinants
- 3.1. Market Drivers
- 3.1.1. Drivers For Global Robotic Process Automation in BFSI Market: Impact Analysis
- 3.2. Market Pain Points and Challenges
- 3.2.1. Restraints For Global Robotic Process Automation in BFSI Market: Impact Analysis
- 3.3. Market Opportunities
- 4. Competitive Landscape
- 4.1. Competitive Dashboard – Robotic Process Automation in BFSI Market Revenue and Share by Manufacturers
- Robotic Process Automation in BFSI Product Comparison Analysis
- Top Market Player Ranking Matrix
- 4.2. Key Company Analysis
- 4.2.1. Appian Corp.
- 4.2.1.1. Overview
- 4.2.1.2. Product Portfolio
- 4.2.1.3. Financial Analysis (Subject to Data Availability)
- 4.2.1.4. SWOT Analysis
- 4.2.1.5. Business Strategy
- 4.2.2. Automation Anywhere, Inc.
- 4.2.2.1. Overview
- 4.2.2.2. Product Portfolio
- 4.2.2.3. Financial Analysis (Subject to Data Availability)
- 4.2.2.4. SWOT Analysis
- 4.2.2.5. Business Strategy
- 4.2.3. BluePrism, Inc.
- 4.2.3.1. Overview
- 4.2.3.2. Product Portfolio
- 4.2.3.3. Financial Analysis (Subject to Data Availability)
- 4.2.3.4. SWOT Analysis
- 4.2.3.5. Business Strategy
- 4.2.4. IBM Corp.
- 4.2.4.1. Overview
- 4.2.4.2. Product Portfolio
- 4.2.4.3. Financial Analysis (Subject to Data Availability)
- 4.2.4.4. SWOT Analysis
- 4.2.4.5. Business Strategy
- 4.2.5. SAP SE
- 4.2.5.1. Overview
- 4.2.5.2. Product Portfolio
- 4.2.5.3. Financial Analysis (Subject to Data Availability)
- 4.2.5.4. SWOT Analysis
- 4.2.5.5. Business Strategy
- 4.2.6. UiPath, Inc.
- 4.2.6.1. Overview
- 4.2.6.2. Product Portfolio
- 4.2.6.3. Financial Analysis (Subject to Data Availability)
- 4.2.6.4. SWOT Analysis
- 4.2.6.5. Business Strategy
- 4.3. Top Winning Strategies by Market Players
- 4.3.1. Merger and Acquisition
- 4.3.2. Product Launch
- 4.3.3. Partnership And Collaboration
- 5. Global Robotic Process Automation in BFSI Market Sales Analysis by Type ($ Million)
- 5.1. Software
- 5.2. Services
- 6. Global Robotic Process Automation in BFSI Market Sales Analysis by Organization ($ Million)
- 6.1. Small and Mid-Size Enterprises (SMEs)
- 6.2. Large Enterprises
- 7. Global Robotic Process Automation in BFSI Market Sales Analysis by Component ($ Million)
- 7.1. Consulting
- 7.2. Platform
- 7.3. Training
- 8. Global Robotic Process Automation in BFSI Market Sales Analysis by Application ($ Million)
- 8.1. Aerospace & Defense
- 8.2. Energy & Power
- 8.3. Industrial
- 8.4. Others (Automotive, Electronics)
- 9. Regional Analysis
- 9.1. North American Robotic Process Automation in BFSI Market Sales Analysis – Type | Organization | Component | Application | Country ($ Million)
- Macroeconomic Factors for North America
- 9.1.1. United States
- 9.1.2. Canada
- 9.2. European Robotic Process Automation in BFSI Market Sales Analysis – Type | Organization | Component | Application | Country ($ Million)
- Macroeconomic Factors for Europe
- 9.2.1. UK
- 9.2.2. Germany
- 9.2.3. Italy
- 9.2.4. Spain
- 9.2.5. France
- 9.2.6. Russia
- 9.2.7. Rest of Europe
- 9.3. Asia-Pacific Robotic Process Automation in BFSI Market Sales Analysis – Type | Organization | Component | Application | Country ($ Million)
- Macroeconomic Factors for Asia-Pacific
- 9.3.1. China
- 9.3.2. Japan
- 9.3.3. South Korea
- 9.3.4. India
- 9.3.5. Australia & New Zealand
- 9.3.6. ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And Others)
- 9.3.7. Rest of Asia-Pacific
- 9.4. Rest of the World Robotic Process Automation in BFSI Market Sales Analysis – Type | Organization | Component | Application | Country ($ Million)
- Macroeconomic Factors for the Rest of the World
- 9.4.1. Latin America
- 9.4.2. Middle East and Africa
- 10. Company Profiles
- 10.1. Appian Corp.
- 10.1.1. Quick Facts
- 10.1.2. Company Overview
- 10.1.3. Product Portfolio
- 10.1.4. Business Strategies
- 10.2. Automation Anywhere, Inc.
- 10.2.1. Quick Facts
- 10.2.2. Company Overview
- 10.2.3. Product Portfolio
- 10.2.4. Business Strategies
- 10.3. AutomationEdge Pvt. Ltd.
- 10.3.1. Quick Facts
- 10.3.2. Company Overview
- 10.3.3. Product Portfolio
- 10.3.4. Business Strategies
- 10.4. Blue Prism Ltd.
- 10.4.1. Quick Facts
- 10.4.2. Company Overview
- 10.4.3. Product Portfolio
- 10.4.4. Business Strategies
- 10.5. Celonis SE
- 10.5.1. Quick Facts
- 10.5.2. Company Overview
- 10.5.3. Product Portfolio
- 10.5.4. Business Strategies
- 10.6. Datamatics Global Services Ltd.
- 10.6.1. Quick Facts
- 10.6.2. Company Overview
- 10.6.3. Product Portfolio
- 10.6.4. Business Strategies
- 10.7. EdgeVerve Systems Ltd.
- 10.7.1. Quick Facts
- 10.7.2. Company Overview
- 10.7.3. Product Portfolio
- 10.7.4. Business Strategies
- 10.8. FPT Software Company, Ltd.
- 10.8.1. Quick Facts
- 10.8.2. Company Overview
- 10.8.3. Product Portfolio
- 10.8.4. Business Strategies
- 10.9. IBM Corp.
- 10.9.1. Quick Facts
- 10.9.2. Company Overview
- 10.9.3. Product Portfolio
- 10.9.4. Business Strategies
- 10.10. Kore.ai, Inc.
- 10.10.1. Quick Facts
- 10.10.2. Company Overview
- 10.10.3. Product Portfolio
- 10.10.4. Business Strategies
- 10.11. Microsoft Corp.
- 10.11.1. Quick Facts
- 10.11.2. Company Overview
- 10.11.3. Product Portfolio
- 10.11.4. Business Strategies
- 10.12. NICE Ltd.
- 10.12.1. Quick Facts
- 10.12.2. Company Overview
- 10.12.3. Product Portfolio
- 10.12.4. Business Strategies
- 10.13. Nintex UK Ltd.
- 10.13.1. Quick Facts
- 10.13.2. Company Overview
- 10.13.3. Product Portfolio
- 10.13.4. Business Strategies
- 10.14. Oracle Corp.
- 10.14.1. Quick Facts
- 10.14.2. Company Overview
- 10.14.3. Product Portfolio
- 10.14.4. Business Strategies
- 10.15. Pegasystems Inc.
- 10.15.1. Quick Facts
- 10.15.2. Company Overview
- 10.15.3. Product Portfolio
- 10.15.4. Business Strategies
- 10.16. Red Hat, Inc.
- 10.16.1. Quick Facts
- 10.16.2. Company Overview
- 10.16.3. Product Portfolio
- 10.16.4. Business Strategies
- 10.17. Redwood Software Inc.
- 10.17.1. Quick Facts
- 10.17.2. Company Overview
- 10.17.3. Product Portfolio
- 10.17.4. Business Strategies
- 10.18. Salesforce, Inc
- 10.18.1. Quick Facts
- 10.18.2. Company Overview
- 10.18.3. Product Portfolio
- 10.18.4. Business Strategies
- 10.19. SAP SE
- 10.19.1. Quick Facts
- 10.19.2. Company Overview
- 10.19.3. Product Portfolio
- 10.19.4. Business Strategies
- 10.20. Tungsten Automation Corp.
- 10.20.1. Quick Facts
- 10.20.2. Company Overview
- 10.20.3. Product Portfolio
- 10.20.4. Business Strategies
- 10.21. UiPath, Inc.
- 10.21.1. Quick Facts
- 10.21.2. Company Overview
- 10.21.3. Product Portfolio
- 10.21.4. Business Strategies
- 10.22. WorkFusion, Inc.
- 10.22.1. Quick Facts
- 10.22.2. Company Overview
- 10.22.3. Product Portfolio
- 10.22.4. Business Strategies
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