01 AI Agents Are Shifting Automation From Task Execution to End-to-End Process Orchestration The intelligent process automation market is moving beyond rule-based robotic process automation toward AI-enabled systems that can interpret context, make decisions, and coordinate multiple steps across business workflows. This change is allowing enterprises to automate processes that previously required human judgment, including procurement, customer service, finance, and supply-chain activities. As a result, automation platforms are increasingly being designed around adaptive workflows and AI agents rather than isolated repetitive tasks.In June 2025, IBM reported that surveyed executives expected AI-enabled workflows to increase from 3% to 25% by the end of 2025. The study also found that 83% of respondents expected AI agents to improve process efficiency and output by 2026, while 71% expected agents to autonomously adapt to changing workflows.
02 Automation Platforms Are Becoming More Integrated With Enterprise Applications The industry is increasingly connecting automation capabilities directly with ERP, CRM, productivity, and workflow platforms. Instead of operating as standalone automation tools, intelligent automation is becoming embedded within the systems where employees already manage financial, operational, and customer processes. This integration is reshaping intelligent process automation market trends by enabling organizations to combine workflow orchestration, AI agents, business data, and human approvals within a single operating environment.In April 2025, Microsoft announced the general availability of agent flows in Copilot Studio, enabling businesses to combine structured workflows with AI-driven actions. The capability was designed to support automation across more complex enterprise scenarios rather than limiting automation to predefined repetitive tasks.
01 Demand for Higher Process Efficiency Is Increasing Enterprise Automation Adoption Organizations are adopting intelligent automation to reduce manual work, accelerate processing, and improve consistency across high-volume business operations. AI-enabled automation can combine data interpretation with workflow execution, allowing enterprises to address processes that traditional automation could not handle effectively. This is supporting intelligent process automation market growth as businesses increasingly move automation from individual tasks into core functions such as finance, procurement, customer operations, and supply chains.In May 2025, Microsoft highlighted AI agents within Dynamics 365 for finance, supply-chain, and operations processes, noting that 81% of surveyed leaders expected agents to be moderately or extensively integrated into their company's AI strategy.
01 Integration Complexity Can Delay Large-Scale Automation Deployment Implementing intelligent automation across established enterprises requires integration with legacy applications, business databases, security systems, and existing workflows. Organizations must also establish governance, data controls, and human-approval mechanisms before allowing AI systems to execute important processes. These requirements can increase implementation time and costs, limiting adoption among organizations that cannot easily redesign their existing technology environment. This can constrain intelligent process automation market demand despite strong interest in AI-enabled workflows.In October 2025, IBM reported that many enterprises experienced stalled ROI after initial AI-agent pilots because deployments required workflow redesign, orchestration, and stronger governance before scaling could deliver broader business value.
01 Agentic Automation Creates New Opportunities in Complex Business Workflows The expansion of AI agents is creating opportunities to automate complete business processes rather than individual tasks. Unlike traditional automation, agentic systems can interpret information, select actions, interact with multiple systems, and adjust execution based on changing circumstances. Vendors that combine autonomous decision-making with enterprise controls are therefore positioned to capture emerging intelligent process automation market opportunities.In November 2025, IBM reported that AI agents could orchestrate complex workflows spanning multiple systems and cited a Dun & Bradstreet deployment where AI-supported procurement processes reduced time spent on procurement tasks by up to 20%.
01 Enterprises Must Balance AI Autonomy With Governance and Human Oversight Greater automation creates a challenge around determining which decisions can be delegated to AI and which require human approval. Enterprises operating in regulated or sensitive environments must maintain auditability, security, compliance, and accountability while allowing automation systems to act with greater autonomy. This makes governance architecture an important competitive requirement alongside AI capabilities. The challenge is particularly relevant as organizations move from experimentation toward production-scale automation across business-critical processes.In May 2025, IBM's research found that 76% of surveyed organizations were developing, executing, or scaling proofs of concept for autonomous automation using AI agents, while only 10% had fully scaled individual processes with AI-powered automation. The gap highlights the difficulty of moving intelligent automation from experimentation to enterprise-wide deployment.
May 2026 Automation Anywhere unveiled major enhancements to its Agentic Process Automation (APA) platform, introducing new orchestration, governance, and AI process management capabilities for enterprise-wide intelligent automation.
August 2025 Uniphore announced its acquisition of Autonom8 to expand AI-driven workflow automation and intelligent business process orchestration across regulated industries.
August 2025 Uniphore acquired Orby AI to strengthen its enterprise AI automation portfolio by adding agentic workflow automation and autonomous process execution capabilities.
July 2025 UiPath was recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Robotic Process Automation for the seventh consecutive year, reinforcing the adoption of its intelligent automation platform.