AI in Robotic Process Automation (RPA) Market Report 2026

The artificial intelligence (AI) in robotic process automation (rpa) market size has grown rapidly in recent years. It will grow from $4.79 billion in 2025 to $5.6 billion in 2026 at a compound annual growth rate (CAGR) of 17%. The growth in the historic period can be attributed to adoption of rule-based rpa tools, enterprise process digitization, demand for operational efficiency, early workflow automation software, cost reduction initiatives.

The artificial intelligence (AI) in robotic process automation (rpa) market size is expected to see rapid growth in the next few years. It will grow to $10.36 billion in 2030 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to increasing complexity of business processes, growth of AI-enabled automation, rising adoption across bfsI and healthcare, expansion of cloud-based rpa platforms, focus on intelligent enterprise transformation. Major trends in the forecast period include cognitive automation platforms, AI-enhanced intelligent document processing, self-learning software bots, process mining with ai, end-to-end hyperautomation.

The increasing popularity of robotics in industrial environments is expected to support the growth of artificial intelligence in the robotic process automation market going forward. Industrial robots are automated machines designed to perform tasks traditionally handled by human workers in manufacturing and other industrial operations. The adoption of robotics in industrial settings is increasing due to trends such as Industry 4.0, automation initiatives, performance improvements, enhanced safety, cost efficiency, and expanding application areas. Artificial intelligence in robotic process automation improves the adaptability, efficiency, and functionality of robots, enabling them to perform a wider range of industrial tasks more effectively. For example, in September 2025, according to the International Federation of Robotics, a Germany-based non-profit organization, 542,000 industrial robots were installed globally in 2024. Therefore, the growing popularity of robotics in industrial settings is contributing to the growth of artificial intelligence in the robotic process automation market.

Leading companies operating in the artificial intelligence (AI) in robotic process automation market are prioritizing innovation and workflow integration, such as agentic automation platforms that unify AI agents, robots, and human workflows within a single intelligent orchestration framework. An agentic automation platform is a next-generation automation system designed to coordinate AI-driven agents, robotic process automation, and human inputs to optimize task execution, decision-making, and process management in a scalable and secure environment. For example, in April 2025, UiPath Inc., a US-based enterprise software company, launched its next-generation UiPath Platform for agentic automation. This platform enables organizations to design, deploy, and manage AI agents, robots, and human workflows with enhanced scalability, flexibility, and compliance, representing a major advancement in enterprise AI-driven automation.

In May 2023, Sisua Digital Oy, a Finland-based IT services and consulting company, acquired Staria Oyj for an undisclosed amount. Through this acquisition, Sisua Digital aims to expand its ability to deliver intelligent automation solutions to a broader client base while maintaining high-quality support and service continuity. Staria Oyj is a Finland-based company that offers comprehensive financial management services and software solutions, including the use of artificial intelligence in robotic process automation.

Major companies operating in the artificial intelligence (AI) in robotic process automation (rpa) market are Deloitte Touche Tohmatsu Limited, Accenture PLC, International Business Machine Corporation (IBM), SAP SE, Genpact Ltd., Cloud Software Group Inc., Nice Ltd., Pegasystems Inc., UiPath Inc., Celonis SE, BlackLine Inc., Zensar Technologies Limited, Appian Corporation, Tungsten Automation Corporation, Automation Anywhere Inc., EdgeVerve Systems Limited, Nintex UK Ltd., AntWorks Pte. Ltd., AutomationEdge Technologies Inc., WorkFusion Inc., Blue Prism Group PLC.

North America was the largest region in the artificial intelligence (AI) in robotic process automation (RPA) market in 2025. The regions covered in the artificial intelligence (AI) in robotic process automation (rpa) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in robotic process automation (rpa) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have affected the AI in robotic process automation market by increasing costs for enterprise servers, networking equipment, and automation infrastructure. Large enterprises in North America and Europe are most impacted due to global sourcing of hardware. These higher costs have influenced automation rollout strategies. Organizations are prioritizing high-impact automation use cases. At the same time, tariffs are encouraging regional cloud infrastructure investments. This is strengthening localized automation ecosystems and long-term deployment efficiency.

The artificial intelligence (AI) in robotic process automation (rpa) market research report is one of a series of new reports that provides artificial intelligence (AI) in robotic process automation (rpa) market statistics, including artificial intelligence (AI) in robotic process automation (rpa) industry global market size, regional shares, competitors with a artificial intelligence (AI) in robotic process automation (rpa) market share, detailed artificial intelligence (AI) in robotic process automation (rpa) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in robotic process automation (rpa) industry. This artificial intelligence (AI) in robotic process automation (rpa) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence (AI) in robotic process automation (RPA) involves using AI technologies to enhance RPA, enabling software bots to perform more complex tasks that require human-like understanding and decision-making. This integration of AI with RPA improves automation by allowing bots to manage intricate tasks such as understanding natural language, processing images, and making data-driven decisions.

The primary types of AI in RPA are software and services. AI in RPA software allows organizations to create, manage, and deploy software robots (bots) for repetitive tasks. These bots can be deployed through various modes, including cloud-based and on-premise, and are used by organizations of different sizes, from large enterprises to small and medium-sized businesses. They are applied across various industries, including banking, financial services, and insurance (BFSI), pharmaceuticals and healthcare, retail and consumer goods, information technology (IT) and telecommunications, communication, media, education, and others.

The artificial intelligence (AI) in robotic process automation (RPA) market consists of revenues earned by entities by providing intelligent document processing, chatbots and virtual assistants, automated decision-making, and sentiment analysis services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in the robotic process automation market also includes sales of natural language processing (NLP) tools, optical character recognition (OCR) software, machine learning platforms, and chatbot development frameworks. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.