The AI In RPA Market is being driven by Proliferation of generative AI and democratization of automation
The AI In RPA Market is expected to grow at a CAGR of 33% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 14281.8 million. The AI in RPA market is witnessing a significant evolution from task-focused automation to the implementation of agentic automation. This progressive development involves the integration of autonomous AI agents, or digital workers, capable of managing and executing intricate, end-to-end business processes with minimal human intervention. These advanced bots surpass traditional RPA systems by employing cognitive abilities such as reasoning, planning, and dynamic decision-making to navigate unforeseen exceptions and coordinate workflows across various applications and systems. This trend signifies the maturation of intelligent automation, transcending mere efficiency enhancements to granting genuine business autonomy.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
246 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 33% |
Market growth 2025-2029 |
USD 14281.8 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
28.4 |
Key countries |
US, Germany, Canada, UK, China, France, Japan, India, Brazil, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in RPA market offers significant benefits, including increased automation efficiency, reduced error rates, and process efficiency gains, leading to operational cost savings and productivity improvements. Compliance adherence and risk mitigation strategies are also key advantages. However, challenges such as scalability and integration complexities, data security measures, and bot reliability require careful consideration. AI model accuracy, algorithm performance, and explainable AI are essential for continuous improvement, while data quality, real-time monitoring, and remote management are crucial for effective implementation. Cloud-based solutions, on-premise deployment, and hybrid approaches are among the deployment options, and vendor selection criteria include implementation timelines, training materials, support services, and maintenance costs.
In the vast IT software industry, the application software segment holds a significant position, encompassing businesses specializing in developing and delivering software solutions for specific business or consumer needs. This sector includes enterprise and technical software, as well as cloud-based applications, excluding those producing interactive home entertainment software or systems/database management software. According to Technavio's market analysis, the global application software market size is determined by the consolidated revenue of these entities. In this dynamic landscape, AI-powered automation tools, such as Robotic Process Automation (RPA) with machine learning models, are increasingly integrated into intelligent automation platforms, revolutionizing process automation and driving market growth.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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