Intelligent Process Automation (IPA) Market - Global Industry Size, Share, Trends, Opportunity and Forecast, Segmented By Component (Solution and Services), By Deployment (On-premises and Cloud), By Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, and Others), By Organization Size (Small & Medium-Sized Enterprises and Large Enterprises), By Technology (Natural Language Processing, Machine & Deep Learning, and Others), By Industry Vertical (BFSI, Healthcare, Telecommunications &IT, Government & Public Sector, Manufacturing, Consumer Goods & Retail, Media & Entertainment, and Others), and By Region 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 16.68 Billion
CAGR (2026-2031)	15.12%
Fastest Growing Segment	Cloud
Largest Market	North America
Market Size (2031)	USD 38.82 Billion

Market Overview

The Global Intelligent Process Automation (IPA) Market will grow from USD 16.68 Billion in 2025 to USD 38.82 Billion by 2031 at a 15.12% CAGR. Intelligent Process Automation (IPA) combines Robotic Process Automation with artificial intelligence technologies such as machine learning to automate complex, end-to-end business processes. The primary drivers fueling this market include the critical need for enterprises to optimize operational efficiency, substantially reduce costs, and minimize human error in routine workflows. Organizations also leverage IPA to accelerate digital transformation strategies, which allows workforces to concentrate on high-value strategic tasks rather than manual data entry or processing.

However, the market faces a significant obstacle regarding the shortage of skilled professionals capable of designing and managing these automation environments. This talent gap frequently slows deployment and complicates the integration of automation with existing legacy systems. According to NASSCOM, in 2024, nearly 90% of companies planned to increase spending on digital technology priorities, with the majority of investments focusing on areas including intelligent automation. While investment intent is strong, the successful scalability of these projects heavily depends on overcoming these technical and workforce challenges.

Key Market Drivers

Accelerating enterprise digital transformation initiatives functions as a primary engine for the Global Intelligent Process Automation (IPA) Market. Organizations are increasingly transitioning from isolated task automation to holistic process orchestration to ensure agility and business resilience. This shift drives the adoption of platforms that can manage complex workflows across fragmented legacy systems and modern cloud environments, effectively bridging the gap between old and new infrastructures. The focus has moved beyond simple cost-cutting to achieving strategic operational agility, necessitating tools that provide end-to-end visibility. According to Camunda, February 2024, in the 'State of Process Orchestration 2024' report, 96% of IT and business decision-makers agreed that end-to-end process automation is essential to achieve their organization's business goals.

The integration of advanced AI and machine learning technologies, particularly generative AI, further propels market expansion by enabling the automation of unstructured data processing. Unlike traditional robotic process automation, AI-infused systems can interpret natural language, analyze sentiment, and make cognitive decisions, thereby widening the scope of tasks that can be handled without human intervention. According to Workato, February 2024, in the 'Work Automation Index 2024', there was a 400% increase in the use of Generative AI within automation workflows compared to the previous year. This technological synergy allows businesses to unlock higher value from their data and respond faster to market changes. According to IBM, in 2024, 59% of IT professionals at enterprises already exploring or deploying AI stated they intend to accelerate their investment in automation technologies to address these evolving operational demands.

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Key Market Challenges

The shortage of skilled professionals represents a critical impediment to the expansion of the Global Intelligent Process Automation (IPA) market. Implementing IPA solutions requires a workforce proficient in both Robotic Process Automation (RPA) and advanced artificial intelligence disciplines, such as machine learning and natural language processing. Finding individuals who possess this dual expertise, along with the technical capability to integrate these tools into complex legacy infrastructures, proves increasingly difficult for enterprises. Consequently, many organizations struggle to move automation projects beyond the initial pilot phase, leading to stalled deployment timelines and a diminished return on investment.

This talent scarcity directly restricts the market's scalability, as businesses often lack the internal resources to manage and maintain these automated ecosystems effectively. According to CompTIA, in 2025, 81% of HR professionals reported that their organizations were falling short of the talent and skills required to thrive, specifically identifying artificial intelligence as a primary area needing urgent upskilling. This widening skills gap forces companies to delay aggressive digital transformation plans, thereby tempering the overall growth trajectory of the IPA sector.

Key Market Trends

The Shift Toward Autonomous Agentic AI Workflows represents a fundamental evolution from static scripts to dynamic systems capable of self-directed execution. Unlike traditional robotic process automation that strictly follows pre-defined rules, agentic AI possesses the cognitive architecture to plan, prioritize, and execute multi-step workflows with minimal human intervention. This trend is reshaping the market by enabling organizations to deploy digital workers that can handle ambiguity and adapt to changing variables in real-time, effectively closing the gap between simple task execution and complex process management. The urgency for this transition is underscored by the rapid strategic pivot among enterprise technology leaders. According to MuleSoft, January 2025, in the '2025 Connectivity Benchmark Report', 93% of IT leaders report intentions to introduce autonomous agents within the next two years to optimize workflows and drive innovation.

The Expansion of Human-in-the-Loop Collaborative Frameworks addresses the cultural and operational necessity of integrating digital labor alongside human workforces rather than replacing them. This trend emphasizes the design of automation systems that function as "digital colleagues," augmenting human capabilities and requiring oversight only for critical decision points or edge cases. By fostering a symbiotic relationship between employees and automated systems, businesses can alleviate burnout and scale operations without losing the nuance of human judgment. This collaborative model is gaining significant traction as leadership teams recognize the potential for automation to act as a force multiplier for talent. According to Microsoft, April 2025, in the '2025 Work Trend Index Annual Report', 82% of leaders stated they expect to use digital labor to expand their workforce capacity in the next 12 to 18 months.

Segmental Insights

The Cloud deployment segment represents the fastest-growing category within the Global Intelligent Process Automation market, primarily due to its superior scalability and cost efficiency. Organizations increasingly adopt cloud-based solutions to minimize the substantial capital expenditure associated with maintaining physical on-premise infrastructure. This delivery model enables enterprises to manage the intensive computational requirements of artificial intelligence algorithms effectively without procuring specialized hardware. Furthermore, cloud platforms facilitate rapid implementation and allow businesses to adjust automation capacities dynamically in response to fluctuating operational demands, making them highly attractive for modern digital transformation strategies.

Regional Insights

North America maintains a leading position in the Global Intelligent Process Automation (IPA) Market, primarily driven by the extensive presence of major technology providers and the early adoption of artificial intelligence. The United States acts as a central hub for industry innovation, where the banking, financial services, and healthcare sectors actively integrate automation to streamline complex workflows. This market dominance is further supported by substantial capital investment in digital infrastructure and a strong corporate focus on improving operational efficiency. Consequently, the region secures a significant market share as enterprises prioritize scalable solutions to manage high-volume business processes.

Recent Developments

• In December 2024, Appian announced a significant update to its platform designed to enhance enterprise process automation through advanced artificial intelligence capabilities. The release introduced Appian Autoscale, a feature engineered to significantly increase the throughput of high-volume workloads, allowing organizations to handle millions of process instances per hour. This development aimed to support complex, data-intensive operations such as real-time claims validation and transaction monitoring. Additionally, the update included new generative AI enhancements ensuring compliance with federal security standards, thereby enabling public sector entities to automate sensitive and intricate workflows with greater confidence and efficiency.
• In October 2024, UiPath unveiled a new tool named Agent Builder during its annual user conference, designed to integrate robotic process automation with generative artificial intelligence models. This solution allows developers to design, build, and deploy AI-powered agents capable of collaborating with traditional software robots to handle complex business tasks. The company described this advancement as "agentic automation," which extends beyond simple chatbot interactions to autonomous decision-making and action execution on behalf of users. The initiative aims to expand the scope of enterprise automation by enabling the handling of dynamic processes that previously required human intervention.
• In June 2024, Automation Anywhere launched its new AI + Automation Enterprise System, a comprehensive platform infused with second-generation generative AI process models. This release was designed to accelerate the discovery, development, and deployment of complex process automations across enterprise systems. The company also introduced autonomous AI Agents capable of managing cognitive tasks and executing actions to improve operational efficiency in areas such as customer service and finance. This development allows businesses to optimize workflows by leveraging AI to learn from unstructured data and automate processes that traditionally required significant manual effort and time.
• In March 2024, SS&C Technologies announced the inaugural release of the SS&C Blue Prism Next Generation intelligent automation platform. This new hybrid-based solution was engineered to deliver the benefits of cloud computing while maintaining strict security and compliance standards required by highly regulated industries. The platform features a centralized repository for process storage and a design studio that enables users to create and test automation processes locally. This launch addresses the need for scalable and agile automation infrastructure, allowing organizations to reduce overheads and upgrade digital workforces on demand without compromising on data security or operational control.

Key Market Players

• Accelirate, Inc.
• Blue Prism Group PLC
• Dell EMC Corp.
• International Business Machines Corporation
• WorkFusion
• UiPath, Inc.
• Kofax Inc.
• Pegasystems Inc.
• Salesforce.com Inc.
• SAP SE

By Component	By Deployment	By Application	By Organization Size	By Technology	By Industry Vertical	By Region
Solution and Services	On-premises and Cloud	IT Operations Business Process Automation Application Management Content Management Security and Others	Small & Medium-Sized Enterprises and Large Enterprises	Natural Language Processing Machine & Deep Learning and Others	BFSI Healthcare Telecommunications &IT Government & Public Sector Manufacturing Consumer Goods & Retail Media & Entertainment and Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Intelligent Process Automation (IPA) Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• Intelligent Process Automation (IPA) Market, By Component:

• Solution and Services

• Intelligent Process Automation (IPA) Market, By Deployment:

• On-premises and Cloud

• Intelligent Process Automation (IPA) Market, By Application:

• IT Operations
• Business Process Automation
• Application Management
• Content Management
• Security
• and Others

• Intelligent Process Automation (IPA) Market, By Organization Size:

• Small & Medium-Sized Enterprises and Large Enterprises

• Intelligent Process Automation (IPA) Market, By Technology:

• Natural Language Processing
• Machine & Deep Learning
• and Others

• Intelligent Process Automation (IPA) Market, By Industry Vertical:

• BFSI
• Healthcare
• Telecommunications &IT
• Government & Public Sector
• Manufacturing
• Consumer Goods & Retail
• Media & Entertainment
• and Others

• Intelligent Process Automation (IPA) Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE