PUBLISHER: The Business Research Company | PRODUCT CODE: 1717015
PUBLISHER: The Business Research Company | PRODUCT CODE: 1717015
Generative artificial intelligence (AI) in the context of robotic process automation (RPA) involves integrating advanced AI techniques with RPA to enhance or expand its capabilities. This integration helps in creating intelligent automation scripts, generating responses, and adapting processes by learning from data, thus making robots more flexible and efficient.
The primary components of generative AI in RPA are software and services. The software encompasses programs and applications that utilize AI techniques to create new, original content or solutions. Deployment options include cloud and on-premise solutions. These technologies are applied in various areas such as operations, marketing, customer support, and human resources, and are utilized across diverse industry verticals including banking, financial services, and insurance (BFSI), healthcare, retail, telecom and IT, manufacturing, and others.
The generative artificial intelligence (AI) in the robotic process automation (RPA) market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence(AI) in the robotic process automation (RPA) market statistics, including generative artificial intelligence (AI) in the robotic process automation (RPA) industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in the robotic process automation (RPA) market share, detailed generative artificial intelligence (AI) in the robotic process automation (RPA) market segments, market trends, and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in the robotic process automation (RPA) industry. This generative artificial intelligence (AI) in the 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 generative artificial intelligence (AI) in robotic process automation (rpa) market size has grown exponentially in recent years. It will grow from $0.76 billion in 2024 to $0.92 billion in 2025 at a compound annual growth rate (CAGR) of 20.8%. The growth in the historic period can be attributed to increasing automation and efficiency, increasing research and development (R&D activities, increasing productivity and ease of work models, increasing awareness about digital marketing, and the growing trend towards cloud solutions.
The generative artificial intelligence (AI) in robotic process automation (rpa) market size is expected to see exponential growth in the next few years. It will grow to $1.94 billion in 2029 at a compound annual growth rate (CAGR) of 20.6%. The growth in the forecast period can be attributed to the increasingly prioritized digital transformation initiatives, increasing demand for automation of business processes, the growing importance of data security, rising need for creating virtual worlds and the increasing use of bluetooth. Major trends in the forecast period include advancements in artificial intelligence (AI) technology, integrating machine learning, predictive analytics, technological advancements, and blockchain technology.
The growing demand for automation across various industries is expected to drive the expansion of generative artificial intelligence (AI) in the robotic process automation (RPA) market. Automation involves utilizing technology to perform repetitive, routine tasks that are typically done manually. The push for automation is fueled by the need for increased efficiency, cost savings, accuracy, and the ability to manage larger volumes of work without additional resources. Generative AI in RPA enhances traditional automation by enabling advanced data processing, intelligent decision-making, and adaptive interactions, thus creating a more dynamic and context-aware system capable of handling both routine tasks and complex, data-driven processes with improved efficiency and precision. For example, in May 2023, the International Federation of Robotics, a Germany-based non-profit organization, reported that industrial robot installations in manufacturing increased by 12% in 2022, reaching 41,624 units in North America. Consequently, the rising demand for automation is driving the growth of generative AI in the RPA market.
Major companies in the generative artificial intelligence (AI) in the robotic process automation (RPA) market are concentrating on developing cloud-native intelligent automation to improve operational efficiency, streamline workflows, and support scalable and adaptable business processes through advanced AI-driven insights and capabilities. Cloud-native intelligent automation involves integrating AI and automation technologies specifically designed to maximize the advantages of cloud computing. For example, in June 2023, Automation Anywhere, a US-based technology company, introduced the Automation + Generative AI platform. This suite of generative AI features enhances its RPA solutions with three key innovations, Automation Co-Pilot + Generative AI for Business Users, Automation Co-Pilot + Generative AI for Automators, and Document Automation + Generative AI. The platform integrates generative AI capabilities, allowing users to automate tasks across various business functions through natural language interactions, thus streamlining processes and boosting efficiency.
In October 2024, Baker Tilly International Ltd., a UK-based accounting and business advisory network, acquired Alirrium LLC for an undisclosed amount. This acquisition is aimed at enhancing Baker Tilly's capabilities in integrating generative artificial intelligence (AI) with robotic process automation (RPA), which will lead to improved efficiency and innovation in automating complex business processes. By leveraging Alirrium's expertise in AI and automation technologies, Baker Tilly is positioned to better serve clients across various sectors. Alirrium LLC is a US-based technology consulting firm that specializes in AI solutions, particularly in generative AI and RPA.
Major companies operating in the generative artificial intelligence (AI) in robotic process automation (RPA) market are Microsoft Corporation, Deloitte Touche Tohmatsu Limited, International Business Machines Corporation, Oracle Corporation, SS&C Technologies Inc., Nice Ltd., FPT Corporation, Pegasystems Inc., Thoma Bravo LP, UiPath Inc., Automation Anywhere Inc., DataRobot Inc., Datamatics Global Services Limited, Nintex Topco Limited, Bizagi, HyperScience Inc., Antworks, AutomationEdge Technologies Inc., Onvisource Inc., WorkFusion Inc.
North America was the largest region in the generative artificial intelligence (AI) in robotic process automation (RPA) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative 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 generative 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.
The generative artificial intelligence (AI) in the robotic process automation (RPA) market consists of revenues earned by entities by providing document generation services, and process optimization,. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in the robotic process automation (RPA) market also includes sales of predictive analytic tools, chatbots, and virtual assistants. 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.
Generative Artificial Intelligence (AI) In Robotic Process Automation (RPA) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on generative artificial intelligence (ai) in robotic process automation (rpa) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for generative artificial intelligence (ai) in robotic process automation (rpa) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) in robotic process automation (rpa) market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.