Robotic Process Automation (RPA) Market Size, Share, Growth, Trends, and Global Industry Analysis: By Components (Software and Service), Operation (Rule-Based and Knowledge-Based), By Application (Analysis, Data Migration & Capture Extraction, Administration and Reporting, Customer Support, and Others), By Industry (Retail, Manufacturing & Logistics Industry, IT and Telecom, BFSI, Healthcare, Hospitality, and Others), and Region Forecast 2020-2031

Robotic Process Automation (RPA) Market size was valued at US$ 4,356.6 million in 2024 and is projected to reach US$ 31,902.3 million by 2031 at a CAGR of 32.9% from 2025-2031. Moreover, the U.S. Robotic Process Automation (RPA) Market is projected to grow significantly, reaching an estimated value of US$ 9,953.5 Million by 2031. The market focuses on the development, deployment, and commercialization of software tools commonly known as software robots that automate high-volume, repetitive, rule-based digital tasks traditionally performed by humans.

The market is rapidly evolving, driven by the urgent need for operational efficiency, cost reduction, and digital transformation across industries. RPA enables organizations to automate repetitive, rules-based tasks, such as data entry and invoice processing, leading to faster turnaround, reduced human error, and optimized resource allocation. A key trend reshaping the market is the convergence of RPA with AI and machine learning, which is expanding automation from basic task execution to intelligent decision-making, enabling more complex and adaptive workflows. This shift is further accelerating the rise of hyperautomation and the development of low-code/no-code platforms, making automation accessible to non-technical users.

A major opportunity lies in the growing adoption of cloud-based RPA tools by SMEs, which benefit from reduced upfront costs, easier implementation, and scalable deployment. These advancements are unlocking new applications in sectors like education, logistics, and retail, especially in emerging economies. However, the market faces notable restraints, including high initial investment, integration complexity with legacy systems, and a shortage of skilled personnel for RPA governance. These challenges, along with concerns over job displacement and unclear ROI in early stages, continue to limit widespread adoption. Despite this, RPA remains a transformative force in reshaping global enterprise operations.

Facts & Figures

• Demand for Operational Efficiency & Cost Reduction: Enterprises are under pressure to cut costs, reduce errors, and improve turnaround times. RPA automates repetitive tasks like invoice processing, onboarding, and reporting, increasing efficiency and freeing human capital for higher-value work. For instance, in 2024, Gartner reports that RPA reduces operational costs by up to 30%, and 60% of enterprises implementing RPA in 2024 saw ROI in under 12 months.
• Convergence with AI and Generative Technologies: RPA is no longer limited to simple, rule-based automation. Integration with AI, ML, and GenAI enables intelligent automation of complex processes like fraud detection, predictive maintenance, and customer sentiment analysis. For instance, UiPath announced bi-directional integration with Microsoft Copilot Studio to orchestrate AI agents and bots across platforms, marking a leap into agentic automation.
• Growing Adoption Across SMEs and Emerging Markets: As RPA platforms become more affordable and SaaS-based, SMEs in sectors like logistics, education, and retail are automating manual workflows, expanding RPA adoption beyond large enterprises. For instance, in June 2025, Automation Anywhere partnered with PureSoftware to set up RPA Centers of Excellence globally, with a strong focus on emerging markets and mid-size companies.
• Rise of Cloud-Based and Low-Code/No-Code Platforms: Cloud-native RPA reduces infrastructure cost and simplifies deployment. Paired with low-code/no-code tools, even non-technical users can create automation, accelerating adoption in SMEs.

 Key Developments

• In June 2025, PureSoftware became a global implementation partner for Automation Anywhere, forming Centres of Excellence to accelerate RPA deployment across regions
• In March 2025, UiPath’s acquisition of Peak (UK-based AI firm), a decision?intelligence specialist, adds vertical AI agents for inventory and pricing optimization, expanding use-case depth in retail and manufacturing.
• In November 2024, Automation Anywhere partnered with PwC India. The strategic partnership aims to deliver GenAI?powered automation solutions across key Indian industries, financial services, healthcare, and retail, highlighting a regional growth focus

Robotic Process Automation (RPA) Market Segmentation

Based on the components

• Software
• Service

Based on components, the software segment holds the largest market share in the Global Robotic Process Automation (RPA) Market. This dominance is driven by the rising adoption of RPA tools across industries to automate rule-based, repetitive tasks in finance, HR, customer service, and IT operations. Enterprises prefer scalable, customizable software solutions that can be deployed both on-premise and via the cloud, offering flexibility and cost efficiency. Additionally, continuous upgrades and AI integrations by key players like UiPath, Automation Anywhere, and Microsoft enhance usability and performance. In contrast, the Service segment, which includes consulting, training, and maintenance, holds a smaller share but is growing steadily as companies require expert guidance for implementation and scaling.

 Based on the operation

• Rule-Based
• Knowledge-Based

Based on operation analysis, the rule-based segment holds the largest market share in the global robotic process automation (RPA) market. This segment includes bots designed to perform repetitive, structured tasks, such as data entry, invoice processing, and form filling, based on clearly defined rules and workflows. It has seen widespread adoption across industries like BFSI, healthcare, and logistics due to its simplicity, speed of implementation, and quick ROI. Rule-based automation remains the foundation of most RPA deployments. Meanwhile, the Knowledge-Based segment, which leverages AI to handle unstructured data and make context-aware decisions, currently holds a smaller share but is rapidly gaining traction as intelligent automation becomes a key enterprise priority.

 Based on the application

• Analysis
• Data Migration & Capture Extraction
• Administration And Reporting
• Customer Support
• Others

Data Migration & Capture Extraction is expected to hold the largest market share in the global robotic process automation (RPA) market. This is due to its critical role in helping organizations transition from legacy systems to modern digital infrastructures by automating the transfer and extraction of large volumes of data with high accuracy and minimal manual intervention. Industries such as BFSI, healthcare, and government heavily rely on RPA for efficient data handling, compliance, and system integration. While Customer Support is growing in importance with chatbot and AI integration, it currently holds the smallest share, as many companies are still in the early stages of automating frontline services.

 Based on the industry

• Retail
• Manufacturing & Logistics Industry
• IT and Telecom
• BFSI
• Healthcare
• Hospitality
• Others

Based on the industry, the BFSI (Banking, Financial Services, and Insurance) segment holds the largest market share in the global robotic process automation (RPA) market. This dominance is driven by the sector’s high demand for automating repetitive, rule-based processes such as loan processing, KYC verification, claims handling, regulatory reporting, and fraud detection. RPA helps BFSI institutions improve accuracy, ensure compliance, and enhance customer experience while significantly reducing operational costs. Additionally, the BFSI sector has been an early adopter of digital transformation initiatives. On the other hand, the Hospitality industry currently holds the smallest share, as automation adoption in this sector is still emerging and largely limited to backend functions like reservations and billing.