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Artificial Intelligence (AI) In Robotic Process Automation (RPA) Market Forecast 2025-2034: Evaluating Growth Factors, Segments, and Emerging Trends
Artificial Intelligence AI In Robotic Process Automation RPA
The rising prevalence of robotics in industrial environments is predicted to spur the expansion of artificial intelligence within the robotic process automation sector. Industrial robots are essentially automated machinery engineered to carry out duties previously performed by human labor in manufacturing and comparable industrial environments. The growing fondness for robotics within these settings can be attributed to numerous factors such as the trend towards Industry 4.0 and automation, enhancement of performance and safety, reduction in cost, and broadening of applications. Embedding artificial intelligence into robotic process automation further amplifies the productivity, versatility, and customization of robots in these settings, thereby enabling them to efficiently handle a more diverse array of tasks. For example, the International Federation of Robotics, a non-profit entity based in Germany reported in May 2023 that the installation of industrial robots in manufacturing witnessed a 12% general increase in 2022, reaching a tally of 41,624 units. Majority of these installations were done by automotive businesses in the US, Canada, and Mexico, with a total of 20,391 installed units, showing a 30% uptick from the previous year. Consequently, the escalating fondness for robotics in industrial environments propels the growth of artificial intelligence in the robotic process automation sector.
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What is the future CAGR of the artificial intelligence (ai) in robotic process automation (rpa) market, and how will it impact industry expansion?
The market size of artificial intelligence (AI) in robotic process automation (rpa) has witnessed a fast-paced growth in recent times. It is projected to expand from $4.09 billion in 2024 to $4.79 billion in 2025, experiencing a compound annual growth rate (CAGR) of 17.1%. The growth during the historic period can be owed to factors such as the escalating demand for process automation, a surge in investments in industrial robots, improved productivity and efficiency, the growing adoption of AI and cloud-based solutions and increased demand from end-user sectors.
The market size of artificial intelligence (AI) in robotic process automation (RPA) is anticipated to experience a significant rise in the coming years, expanding to a whopping $8.89 billion by 2029, with an impressive compound annual growth rate (CAGR) of 16.7%. The expedited growth in the forecast period is credited to the escalating demand for business process automation, growing needs from end-user sectors, an intensified focus on digital evolution, and a heightened emphasis on customer experience enhancement, along with a budding consciousness amongst small and mid-sized businesses (SMEs). The forecast period will witness key trends such as advancements in AI technologies, increasing approval and growth of RPA-aided autonomous learning, boosting cognitive abilities, and machine learning (ML) integration.
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What are the most significant trends transforming the artificial intelligence (ai) in robotic process automation (rpa) market today?
Leading firms in the artificial intelligence sector of the robotic process automation market are concentrating on technological innovations, such as the next-generation automation cloud, to boost efficiency, increase accuracy, and offer more advanced and scalable solutions for intricate business procedures. The next-generation automation cloud for AI in the robotic process automation (RPA) context is an online platform that uses high-end AI technologies to improve the features of conventional RPA. For example, in May 2022, the American software company, UiPath, introduced the UiPath AI Center, an advanced automation cloud. This platform blends AI models with RPA protocols, permitting users to integrate machine learning models into their automation processes directly. The distinctive aspects of this platform include the option to implement models without extensive programming, the compatibility with current RPA tools, and its support for tailor-made AI models.
Which key market segments comprise the artificial intelligence (ai) in robotic process automation (rpa) market and drive its revenue growth?
The artificial intelligence (AI) in robotic process automation (rpa) market covered in this report is segmented -
1) By Type: Software, Service
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Organization Size: Large Enterprises, Small And Medium Enterprises
4) By Application: Banking, Financial Services, And Insurance (BFSI), Pharma And Healthcare, Retail And Consumer Goods, Information Technology (IT) And Telecom, Communication, Media, And Education, Other Applications
Subsegments:
1) By Software: AI-Powered RPA Platforms, Intelligent Document Processing (IDP) Software, Natural Language Processing (NLP) Tools For RPA, Machine Learning-Based Process Automation Tools, Cognitive Automation Software, AI-Driven Analytics And Reporting Tools For RPA, Workflow Management Software With AI Capabilities
2) By Services: RPA Consulting And Strategy Development, AI System Integration And Implementation Services For RPA, Training And Support Services For RPA Tools, Process Assessment And Optimization Services, Managed Services For RPA Operations, Maintenance And Technical Support For RPA Solutions, Change Management And User Adoption Services
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What regions are at the forefront of artificial intelligence (ai) in robotic process automation (rpa) market expansion?
North America was the largest region in the artificial intelligence (AI) in robotic process automation (RPA) market in 2024. 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.
Who are the leading players fueling growth in the artificial intelligence (ai) in robotic process automation (rpa) market?
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
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What Is Covered In The Artificial Intelligence (AI) In Robotic Process Automation (RPA) Global Market Report?
•Market Size Forecast: Examine the artificial intelligence (ai) in robotic process automation (rpa) market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in robotic process automation (rpa) market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in robotic process automation (rpa) market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in robotic process automation (rpa) market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in robotic process automation (rpa) market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in robotic process automation (rpa) market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in robotic process automation (rpa) market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in robotic process automation (rpa) market, including expansions, agreements, and new product launches.
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