Intelligent Process Automation Market Forecast Shows Strong Growth Through 2035
The global intelligent process automation market is expected to reach USD 63.85 billion by 2035, reflecting growing demand for artificial intelligence, machine learning and automated business operations. According to a September 2026 report by Market Research Future, the market was valued at USD 16.48 billion in 2025 and is projected to expand at a compound annual growth rate of 14.5% between 2026 and 2035.
The forecast highlights how businesses are increasingly investing in technologies that streamline operations, reduce manual workloads and improve decision making. Moreover, the growing integration of generative AI and advanced automation tools is creating new opportunities across several industries.
AI and Automation Drive Market Expansion
Intelligent process automation combines robotic process automation, artificial intelligence, machine learning and natural language processing to automate complex business activities.
Unlike traditional automation, which primarily follows predefined rules, intelligent automation can process unstructured information, identify patterns and support decisions. Consequently, organizations can automate more sophisticated workflows across departments.
Businesses are increasingly adopting these technologies to improve operational efficiency and manage growing volumes of business data. Furthermore, cloud based platforms are making automation solutions more accessible to organizations seeking flexible and scalable infrastructure.
Key Market Statistics and Growth Forecast
Market Research Future provides the following projections for the global industry.
- Market size in 2025 was USD 16.48 billion.
- Estimated market size in 2026 is USD 18.87 billion.
- Projected market size by 2035 is USD 63.85 billion.
- Expected compound annual growth rate is 14.5% between 2026 and 2035.
- Asia Pacific is projected to be the fastest growing regional market.
These figures indicate increasing enterprise interest in intelligent automation. However, market forecasts can vary depending on research methodology, technology coverage and the industries included in individual studies.
Major Industries Increasing Automation Investments
Several industries are incorporating intelligent automation into their operations to improve productivity and customer experiences.
Banking and Finance
Financial institutions are using automation for transaction processing, fraud detection, regulatory reporting and customer onboarding. Additionally, automated systems can help finance teams process large volumes of documents while reducing repetitive administrative work.
Healthcare
Healthcare organizations are exploring intelligent automation for patient administration, claims processing, medical documentation and appointment management. These applications can reduce administrative workloads and allow employees to focus on essential services.
Human Resources
HR departments are adopting automation for recruitment administration, employee onboarding, payroll processing and workforce management. These developments are also influencing HR trends and insights as organizations modernize their employee management systems.
Information Technology
IT departments are using automation for infrastructure monitoring, software deployment, incident management and cybersecurity operations. These developments are strengthening demand for technology insights and modern enterprise solutions.
Sales and Marketing
Sales teams can automate lead management, customer communication and reporting. Meanwhile, marketing departments are using AI powered platforms to analyze customer behavior, personalize campaigns and improve campaign performance.
AI Adoption Strengthens the Industry Outlook
The broader adoption of artificial intelligence is supporting the expansion of intelligent automation.
McKinsey’s State of AI survey, published in August 2026, found that 44% of respondents reported AI scaling across their enterprises, compared with 38% a year earlier. The survey also found that 40% of respondents from large organizations reported scaling AI agents.
These findings demonstrate how businesses are moving beyond individual AI experiments toward wider enterprise adoption.
Furthermore, Deloitte’s 2026 State of AI in the Enterprise findings for India reported that 40% of Indian respondents indicated significant or full AI usage, compared with approximately 28% globally.
This growing adoption could create additional opportunities for automation providers, IT service companies and enterprise software developers.
Competitive Landscape and Emerging Technologies
The intelligent process automation industry includes several established technology providers. Major companies operating in this space include UiPath, Microsoft, IBM, Automation Anywhere, SAP and Pegasystems.
These companies are developing platforms that combine automation, analytics and artificial intelligence to support enterprise workflows.
Meanwhile, agentic AI is emerging as an important development. AI agents can perform multiple connected tasks, retrieve information and coordinate workflows with varying levels of human supervision.
However, organizations must address data security, governance, integration and regulatory requirements before expanding autonomous systems across critical business operations.
What Businesses Should Know
The projected market expansion presents opportunities for businesses looking to modernize their operations and improve productivity.
Organizations should consider the following priorities.
- Identify repetitive processes that can benefit from intelligent automation.
- Evaluate AI platforms based on security, scalability and integration capabilities.
- Invest in employee training and digital skills development.
- Establish clear governance policies for automated decisions.
- Monitor performance through measurable productivity and operational outcomes.
Additionally, businesses should avoid adopting automation simply because a technology is gaining popularity. Successful implementation requires clear objectives, reliable data and an appropriate balance between human oversight and automated operations.
As the industry develops, intelligent automation is likely to become an increasingly important part of enterprise technology strategies. The projected USD 63.85 billion market opportunity by 2035 reflects the growing importance of AI driven business transformation.
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