Intelligent process automation market to hit $61 billion by 2034

US enterprises are rapidly adopting intelligent process automation to automate complex workflows, enhance customer service and improve compliance

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Michael Hill
Michael Hill
09/10/2025

Intelligent process automation market

The global intelligent process automation market is expected to be worth around US$61.23 billion by 2034, growing at a CAGR of 13.8 percent during the forecast period of 2025 to 2034. That’s according to a new research report from market.us.

The US intelligent process automation market, currently valued at 5.9 billion, is growing “tremendously,” driven by accelerated digital transformation, a strong focus on operational efficiency and increasing labor cost pressures, the report found.

Meanwhile, substantial investment opportunities are emerging as intelligent process automation platforms become more accessible and customizable.

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AI and analytics are transforming intelligent process automation

The widespread integration of artificial intelligence (AI), machine learning and analytics into automation platforms is driving demand across sectors like financial services, healthcare and retail. Additionally, the rise of cloud-based solutions makes intelligent process automation more accessible and scalable for businesses of all sizes.

Companies are channeling resources into AI-powered automation for financial processing, supply chain optimization and customer service enhancement. There is strong interest in platforms offering seamless integration, low-code automation tools and analytics dashboards that provide real-time insights on process health and outcomes, according to the report.

US-based enterprises are at the forefront of integrating AI and robotic process automation (RPA) to streamline operations and enhance decision-making. High investment in innovation, favorable regulatory environments and a skilled workforce further support intelligent process automation, reinforcing North America’s leadership in this space.

“From what I’m seeing, intelligent automation is genuinely reshaping industries everywhere,” commented Ramnath Natarajan, director, intelligent automation and enterprise integration CoE at Johnson Controls and PEX Network Advisory Board member. “It is here to stay and, as history has shown, it keeps evolving, continually transforming how organizations operate, compete and grow. The journey of intelligent automation is far from over, and the best is yet to come.”


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Drivers of intelligent process automation

The convergence of RPA and AI is accelerating the rise of intelligent process automation across industries like financial services, healthcare, manufacturing and IT/telecom, market.us stated. Enterprises are deploying AI-powered bots to enable smarter decision-making, predictive analytics and greater operational efficiency.

This integration allows automation of both structured and unstructured tasks, boosting productivity and agility. As digital transformation deepens, organizations are increasingly prioritizing intelligent process automation to cut costs, streamline workflows and enhance customer experiences.

By June 2025, the strategic adoption of RPA infused with AI saw significant momentum in the US, reflecting a broader shift toward intelligence-driven operations.

Skills shortages and cybersecurity hamper intelligent process automation

A major challenge in intelligent process automation is the shortage of skilled professionals in RPA, AI and process engineering. As demand for intelligent automation accelerates, the talent supply has struggled to keep pace, leading to delayed implementations and higher project costs, the report stated.

Many organizations face difficulties in sourcing experts who can design, deploy and manage solutions, often resulting in increased reliance on external consultants or stalled initiatives. As a result, upskilling and workforce development have become essential to sustaining industry growth.

Furthermore, as businesses automate more processes and integrate intelligent process automation systems into their core operations, cybersecurity risks increase significantly. These systems often handle sensitive data and connect across departments, making them attractive targets for cyberattacks.

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