로보틱 프로세스 자동화 시장 평가 : 프로세스별, 조작별, 유형별, 전개 방식별, 기업 규모별, 최종 이용 산업별, 지역별, 기회, 예측(2018-2032년)

Global robotic process automation (RPA) market is projected to witness a CAGR of 26.30% during the forecast period 2025-2032, growing from USD 4.56 billion in 2024 to USD 29.53 billion in 2032.

The robotic process automation market is growing steadily, with an increase in investment of USD 490,000 annually in 2023, according to Blueprint Software Systems Inc. This growth is driven by rising costs among legacy RPA vendors as well as the expansion of automation teams. The robotic process automation market will grow continuously with the increasing demand for automation solutions in different verticals, specifically in the finance and healthcare sectors. The widespread adoption of RPA technology continues to grow as these organizations seek to streamline processes, reduce costs, and improve efficiency. Additionally, the adoption of RPA is expected to increase as it will provide new job opportunities in automation, develop new skills, and develop training programs.

For example, in October 2024, UiPath, Inc. launched Agentic Automation, integrating AI agents and robotic process automation to optimize complex business processes, enhance adaptability, and drive significant efficiency improvements across various industries.

Increased Demand for Operational Efficiency Fuels Market Growth

The increasing demand for operational efficiency is a prominent driver for the growth of robotic process automation. The recognition of achieving greater productivity with lesser cost is helping organizations to transition from a reactive to a proactive approach toward maintenance. Predictive maintenance utilizes advanced technologies, such as IoT sensors and data analytics, which enable real-time monitoring of equipment health. Therefore, companies can anticipate failures before they occur, eliminating most unnecessary unscheduled downtime, which is costly and can cause some discontinuity in operations. Optimizing the maintenance schedule according to the equipment's actual conditions allows the organizations to allocate resources efficiently. Therefore, awareness of such benefits is fueling more investment into robotic process automation solutions in that the organizations can save on costs that result in improved operational performance, which consequently accelerates the growth rate of the robotic process automation market as companies seek a competitive edge in demanding markets.

For example, in June 2024, Tungsten Automation launched TotalAgility 8, which enhances its Intelligent Automation platform with Generative AI capabilities. This update introduces intuitive, natural language interfaces, enabling faster workflow creation and improved insights, ultimately accelerating ROI for organizations leveraging RPA solutions.

No-Code/Low-Code Adoption Promotes the Robotic Process Automation Market

The adoption of no code/low code in enterprises is significantly impacting the growth of the robotic process automation market. There will be a growing demand for automation tools that connect with these platforms as businesses adopt no code/low code for strategic applications. The No code/Low code platform offers an intuitive interface for users to design and automate workflows, which leads to the growth of RPA. No code/Low code allows users to automate repetitive tasks, which frees up resources for more strategic and creative work. Ease of use and flexibility make it easy for businesses to adopt RPA on no-code/low-code platforms because it does not require any prior knowledge of coding. According to Zuci Systems, the automation of complex processes increased productivity and competitiveness, fueling the robotic process automation solution to grow to a revenue of USD 65 billion in 2027.

For example, in August 2024, TELUS International and Appian Corporation Inc. expanded their partnership to enhance robotic process automation (RPA) capabilities, enabling clients to simplify complex business processes through a low-code platform.

Government Initiatives Fostering Revenue in Robotic Process Automation Market

Government initiatives such as the Technology Modernization Fund (TMF) and the Robotic Process Automation (RPA) Policy by the United States Department of Agriculture (USDAS) are significantly boosting revenue in the robotic process automation market. The TMF provides funding for agencies to modernize their technology, which allows them to introduce RPA solutions that make service delivery and operations more efficient. The RPA initiative establishes a Center of Excellence to enhance the adoption of RPA tools and helps to streamline processes so employees can focus on higher-value work. It also improves government operations and boosts demand for RPA technologies, further propelling market growth in the forecasted period.

For example, in July 2024, the Biden-Harris Administration launched a USD 1 billion Digital Inclusion Grant Program to provide communities with access to essential digital devices and skills. This initiative, part of the Digital Equity Act, aims to promote digital equity and empower individuals. The program may facilitate the adoption of Robotic Process Automation (RPA) in various sectors by enhancing digital access to boost efficiency and productivity.

Banking, Financial Services, and Insurance Segment Dominates the Market

The banking, financial services, and insurance (BFSI) segment is leading the robotic process automation market because it focuses on efficiency and compliance. Financial institutions use RPA for repetitive tasks such as account management and regulatory reporting; this enables operational speed, reduces the probability of human error, and provides accurate data. RPA enables banks to streamline workflows, allowing the employees to focus on more complex, value-added tasks. For instance, chatbots powered by RPA can handle customer inquiries, respond promptly, and improve customer satisfaction. Also, the robotic process automation market is witnessing continuous growth as it is becoming critical to compliance since it automates transaction monitoring and regulatory reporting, minimizing the risk of penalties.

North America Leads Robotic Process Automation Market Share

North America, specifically the United States, dominates the robotic process automation market due to high investment in automation technologies. According to Blueprint Software Systems Inc., it spends about USD 650,000 per year on average, reflecting a strong commitment to adopting and implementing RPA solutions. Furthermore, prominent RPA players in the region strengthen this attribute. These businesses have already developed a solid market presence and are providing more sophisticated RPA solutions, demonstrating the increasing adoption of RPA in different industries such as finance, healthcare, and manufacturing. Additionally, the United States has a mature technology ecosystem that fosters innovation and growth of emerging technologies with advanced infrastructure and a favorable regulatory environment.

For instance, in July 2023, Microsoft Corporation unveiled Power Automate Process Mining, which provides deep process insights with advancements in RPA processes, identifying inefficiencies and enabling automation through low-code solutions.

Future Market Scenario (2025-2032F)

RPA will continue to converge with artificial intelligence (AI) and machine learning (ML) to create hyper-automation solutions that can automate increasingly complex business processes.

Cloud-native RPA platforms are set to become the standard, offering greater scalability, flexibility, and cost-effectiveness.

RPA will play a key role in driving digital transformation initiatives across organizations, enabling the automation of end-to-end business processes and the integration of disparate systems.

The shift in working trends with a greater emphasis on collaboration between human employees and RPA systems.

Key Players Landscape and Outlook

Prominent players in the robotic process automation market represent strengths and innovations, offering user-friendly platforms that integrate advanced technologies such as AI to enhance automation capabilities and simplify operations. Many providers focus on scalability and security, ensuring that the solutions can meet the needs of small businesses as well as large enterprises. Moreover, there is a growing trend toward integrating automation tools with existing software ecosystems, making it easier to work within the same workflows and achieving better user adoption. Emerging players are also focusing on specialized solutions tailored to specific industry requirements such as finance, healthcare, and manufacturing. This diversity in offerings fosters a competitive environment that pushes continuous innovation and improvement in automation technologies. Organizations are increasingly seeking universal solutions that automate tasks and support better decision-making and improved business performance with the advancement of the robotic process automation market.

In November 2024, Automation Anywhere, Inc. and PricewaterhouseCoopers Private Limited formed a strategic alliance to enhance RPA capabilities, leveraging Generative AI to improve efficiency and customer experience across various industries, including financial services.

In June 2024, Automation Anywhere, Inc. partnered with Amazon Q to further maximize the capabilities of RPA to automate complex workflow rapidly through generative AI and conversational interfaces, significantly improving efficiency and cost savings for enterprises.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Robotic Process Automation Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Process
    • 5.2.1.1. Automated Solutions
      • 5.2.1.1.1. Data Entry Automation
      • 5.2.1.1.2. Invoice Processing Automation
      • 5.2.1.1.3. Order Processing Automation
      • 5.2.1.1.4. Report Generation Automation
      • 5.2.1.1.5. Others
    • 5.2.1.2. Decision Support and Management Solutions
      • 5.2.1.2.1. Business Intelligence and Analytics
      • 5.2.1.2.2. Performance Management
      • 5.2.1.2.3. Risk Management
      • 5.2.1.2.4. Others
    • 5.2.1.3. Interaction Solutions
      • 5.2.1.3.1. Chatbots and Virtual Assistants
      • 5.2.1.3.2. Customer Service Automation
      • 5.2.1.3.3. Email Automation
  • 5.2.2. By Operations
    • 5.2.2.1. Rule-Based Operations
    • 5.2.2.2. Knowledge-Based Operations
      • 5.2.2.2.1. Cognitive Automation
      • 5.2.2.2.2. Machine Learning Integration
      • 5.2.2.2.3. Natural Language Processing (NLP)
      • 5.2.2.2.4. Others
  • 5.2.3. By Type
    • 5.2.3.1. Tools
      • 5.2.3.1.1. RPA Development Tools
      • 5.2.3.1.2. RPA Deployment Tools
      • 5.2.3.1.3. RPA Monitoring and Management Tools
      • 5.2.3.1.4. Others
    • 5.2.3.2. Services
      • 5.2.3.2.1. Consulting Services
      • 5.2.3.2.2. Implementation Services
      • 5.2.3.2.3. Support and Maintenance Services
      • 5.2.3.2.4. Others
  • 5.2.4. By Deployment Mode
    • 5.2.4.1. Cloud-Based
    • 5.2.4.2. On-Premises
  • 5.2.5. By Company Size
    • 5.2.5.1. Large Enterprises (>1000 Employees)
    • 5.2.5.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 5.2.6. By End-User Industry
    • 5.2.6.1. Banking, Financial Services and Insurance (BFSI)
    • 5.2.6.2. Healthcare
    • 5.2.6.3. Manufacturing
    • 5.2.6.4. Transportation and Logistics
    • 5.2.6.5. IT and Telecommunication
    • 5.2.6.6. Retail and E-Commerce
    • 5.2.6.7. Hospitality
    • 5.2.6.8. Energy and Utilities
    • 5.2.6.9. Others
  • 5.2.7. By Region
    • 5.2.7.1. North America
    • 5.2.7.2. Europe
    • 5.2.7.3. Asia-Pacific
    • 5.2.7.4. South America
    • 5.2.7.5. Middle East and Africa
  • 5.2.8. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Process
  • 5.3.2. By Operations
  • 5.3.3. By Type
  • 5.3.4. By Deployment Mode
  • 5.3.5. By Company Size
  • 5.3.6. By End-User Industry
  • 5.3.7. By Region

6. North America Robotic Process Automation Market Outlook, 2018-2032F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Process
    • 6.2.1.1. Automated Solutions
      • 6.2.1.1.1. Data Entry Automation
      • 6.2.1.1.2. Invoice Processing Automation
      • 6.2.1.1.3. Order Processing Automation
      • 6.2.1.1.4. Report Generation Automation
      • 6.2.1.1.5. Others
    • 6.2.1.2. Decision Support and Management Solutions
      • 6.2.1.2.1. Business Intelligence and Analytics
      • 6.2.1.2.2. Performance Management
      • 6.2.1.2.3. Risk Management
      • 6.2.1.2.4. Others
    • 6.2.1.3. Interaction Solutions
      • 6.2.1.3.1. Chatbots and Virtual Assistants
      • 6.2.1.3.2. Customer Service Automation
      • 6.2.1.3.3. Email Automation
  • 6.2.2. By Operations
    • 6.2.2.1. Rule-Based Operations
    • 6.2.2.2. Knowledge-Based Operations
      • 6.2.2.2.1. Cognitive Automation
      • 6.2.2.2.2. Machine Learning Integration
      • 6.2.2.2.3. Natural Language Processing (NLP)
      • 6.2.2.2.4. Others
  • 6.2.3. By Type
    • 6.2.3.1. Tools
      • 6.2.3.1.1. RPA Development Tools
      • 6.2.3.1.2. RPA Deployment Tools
      • 6.2.3.1.3. RPA Monitoring and Management Tools
      • 6.2.3.1.4. Others
    • 6.2.3.2. Services
      • 6.2.3.2.1. Consulting Services
      • 6.2.3.2.2. Implementation Services
      • 6.2.3.2.3. Support and Maintenance Services
      • 6.2.3.2.4. Others
  • 6.2.4. By Deployment Mode
    • 6.2.4.1. Cloud-Based
    • 6.2.4.2. On-Premises
  • 6.2.5. By Company Size
    • 6.2.5.1. Large Enterprises (>1000 Employees)
    • 6.2.5.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 6.2.6. By End-User Industry
    • 6.2.6.1. Banking, Financial Services and Insurance (BFSI)
    • 6.2.6.2. Healthcare
    • 6.2.6.3. Manufacturing
    • 6.2.6.4. Transportation and Logistics
    • 6.2.6.5. IT and Telecommunication
    • 6.2.6.6. Retail and E-Commerce
    • 6.2.6.7. Hospitality
    • 6.2.6.8. Energy and Utilities
    • 6.2.6.9. Others
  • 6.2.7. By Country Share
    • 6.2.7.1. United States
    • 6.2.7.2. Canada
    • 6.2.7.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Robotic Process Automation Market Outlook, 2018-2032F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Process
        • 6.3.1.2.1.1. Automated Solutions
        • 6.3.1.2.1.1.1. Data Entry Automation
        • 6.3.1.2.1.1.2. Invoice Processing Automation
        • 6.3.1.2.1.1.3. Order Processing Automation
        • 6.3.1.2.1.1.4. Report Generation Automation
        • 6.3.1.2.1.1.5. Others
        • 6.3.1.2.1.2. Decision Support and Management Solutions
        • 6.3.1.2.1.2.1. Business Intelligence and Analytics
        • 6.3.1.2.1.2.2. Performance Management
        • 6.3.1.2.1.2.3. Risk Management
        • 6.3.1.2.1.2.4. Others
        • 6.3.1.2.1.3. Interaction Solutions
        • 6.3.1.2.1.3.1. Chatbots and Virtual Assistants
        • 6.3.1.2.1.3.2. Customer Service Automation
        • 6.3.1.2.1.3.3. Email Automation
      • 6.3.1.2.2. By Operations
        • 6.3.1.2.2.1. Rule-Based Operations
        • 6.3.1.2.2.2. Knowledge-Based Operations
        • 6.3.1.2.2.2.1. Cognitive Automation
        • 6.3.1.2.2.2.2. Machine Learning Integration
        • 6.3.1.2.2.2.3. Natural Language Processing (NLP)
        • 6.3.1.2.2.2.4. Others
      • 6.3.1.2.3. By Type
        • 6.3.1.2.3.1. Tools
        • 6.3.1.2.3.1.1. RPA Development Tools
        • 6.3.1.2.3.1.2. RPA Deployment Tools
        • 6.3.1.2.3.1.3. RPA Monitoring and Management Tools
        • 6.3.1.2.3.1.4. Others
        • 6.3.1.2.3.2. Services
        • 6.3.1.2.3.2.1. Consulting Services
        • 6.3.1.2.3.2.2. Implementation Services
        • 6.3.1.2.3.2.3. Support and Maintenance Services
        • 6.3.1.2.3.2.4. Others
      • 6.3.1.2.4. By Deployment Mode
        • 6.3.1.2.4.1. Cloud-Based
        • 6.3.1.2.4.2. On-Premises
      • 6.3.1.2.5. By Company Size
        • 6.3.1.2.5.1. Large Enterprises (>1000 Employees)
        • 6.3.1.2.5.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
      • 6.3.1.2.6. By End-User Industry
        • 6.3.1.2.6.1. Banking, Financial Services and Insurance (BFSI)
        • 6.3.1.2.6.2. Healthcare
        • 6.3.1.2.6.3. Manufacturing
        • 6.3.1.2.6.4. Transportation and Logistics
        • 6.3.1.2.6.5. IT and Telecommunication
        • 6.3.1.2.6.6. Retail and E-Commerce
        • 6.3.1.2.6.7. Hospitality
        • 6.3.1.2.6.8. Energy and Utilities
        • 6.3.1.2.6.9. Others
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered.

7. Europe Robotic Process Automation Market Outlook, 2018-2032F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Robotic Process Automation Market Outlook, 2018-2032F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Robotic Process Automation Market Outlook, 2018-2032F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Robotic Process Automation Market Outlook, 2018-2032F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

• 13.1. Market Drivers
• 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

• 16.1. Competition Matrix of Top 5 Market Leaders
• 16.2. SWOT Analysis for Top 5 Players
• 16.3. Key Players Landscape for Top 10 Market Players
  • 16.3.1. Appian Corporation Inc
    • 16.3.1.1. Company Details
    • 16.3.1.2. Key Management Personnel
    • 16.3.1.3. Products and Services
    • 16.3.1.4. Financials (As Reported)
    • 16.3.1.5. Key Market Focus and Geographical Presence
    • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
  • 16.3.2. Automation Anywhere, Inc.
  • 16.3.3. AutomationEdge Pvt. Ltd.
  • 16.3.4. EdgeVerve Systems Limited (Infosys Limited)
  • 16.3.5. IBM Corporation
  • 16.3.6. Tungsten Automation Corporation
  • 16.3.7. Microsoft Corporation
  • 16.3.8. NICE Ltd.
  • 16.3.9. Pegasystems Inc.
  • 16.3.10. UiPath SRL

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer