Artificial Intelligence (AI) in Robotic Process Automation (RPA) Market Report 2025

This artificial intelligence (AI) in robotic process automation (rpa) market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial intelligence (AI) in robotic process automation (rpa) market size has grown rapidly in recent years. It will grow from $4.09 billion in 2024 to $4.79 billion in 2025 at a compound annual growth rate (CAGR) of 17.1%. The growth in the historic period can be attributed to increasing demand for process automation, increase in industrial robot investment, increasing productivity and efficiency levels, increase in the adoption of artificial intelligence and cloud-based solutions, and rising demand from the end-user industries.

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 $8.89 billion in 2029 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to increasing demand for automation of business processes, rising demand from the end-user industries, increasing focus on digital transformation, increasing focus on improving customer experience, and growing awareness among small and medium-sized enterprises (SMEs). Major trends in the forecast period include innovations in artificial intelligence (AI) technologies, rising adoption and development of robotic process automation (RPA)-enabled self-learning, enhancing cognitive capabilities, and integrating machine learning (ML).

The growing popularity of robotics in industrial environments is expected to drive the expansion of artificial intelligence in the robotic process automation market in the future. Industrial robots are automated machines designed to perform tasks traditionally carried out by humans in manufacturing and other industrial sectors. The rise in robotics within industrial settings is due to factors such as Industry 4 and automation trends, improvements in performance, enhanced safety, cost reduction, and broader application areas. Artificial intelligence in robotic process automation boosts the functionality, efficiency, and adaptability of robots, enabling them to handle a wider range of functions in industrial settings. For example, in May 2023, the International Federation of Robotics, a Germany-based non-profit organization, reported a 12% increase in industrial robot installations in manufacturing for 2022, totaling 41,624 units. The automotive industry, primarily consisting of businesses in the US, Canada, and Mexico, was the largest adopter with 20,391 units, marking a 30% increase from 2021. Consequently, the growing use of robotics in industrial environments is fueling the growth of artificial intelligence in the robotic process automation market.

Leading companies in the artificial intelligence in robotic process automation market are concentrating on technological advancements, such as next-generation automation cloud platforms, to enhance efficiency, improve accuracy, and provide more sophisticated and scalable solutions for complex business processes. Next-generation automation cloud for AI in robotic process automation (RPA) refers to cloud-based platforms that utilize advanced AI technologies to extend the capabilities of traditional RPA. For instance, in May 2022, UiPath, a US-based software company, introduced the UiPath AI Center, a next-generation automation cloud platform. This platform integrates AI models with RPA workflows, allowing users to deploy machine learning models directly into their automation processes. Its notable features include model deployment without extensive coding, integration with existing RPA tools, and support for custom AI models.

In May 2023, Sisua Digital Oy, an IT services and consulting firm based in Finland, acquired Staria Oyj for an undisclosed sum. This acquisition is intended to strengthen Sisua Digital's capacity to provide intelligent automation solutions to a broader clientele while maintaining high-quality support and service continuity. Staria Oyj specializes in offering comprehensive financial management services and software solutions to businesses, incorporating artificial intelligence (AI) in robotic process automation (RPA).

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 2023. The regions covered in the artificial intelligence (AI) in robotic process automation (RPA) market report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 in robotic process automation (RPA)market research report is one of a series of new reports that provides artificial intelligence in robotic process automation (RPA)market statistics, including artificial intelligence in robotic process automation (RPA)industry global market size, regional shares, competitors with artificial intelligence in robotic process automation (RPA)market share, detailed artificial intelligence in robotic process automation (RPA)market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence in robotic process automation (RPA)industry. This artificial intelligence 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.

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 3-5 business days.