세계의 AI 기반 프로세스 자동화 시장 예측(-2032년) : 구성요소별, 전개 모델별, 조직 규모별, 용도별, 최종사용자별, 지역별 분석

According to Stratistics MRC, the Global AI-Driven Process Automation Market is accounted for $15.42 billion in 2025 and is expected to reach $44.11 billion by 2032 growing at a CAGR of 16.2% during the forecast period. AI-driven process automation is revolutionizing business operations by combining AI capabilities with conventional automation solutions. It helps companies optimize routine tasks, lower costs, and boost productivity. Using tools like machine learning, natural language processing, and predictive analytics, these systems can analyze data, recognize trends, and adjust workflows autonomously. This approach enhances process speed, precision, and reliability while freeing employees to engage in strategic tasks. Sectors including finance, manufacturing, healthcare, and logistics are progressively implementing AI-driven automation to improve competitiveness, streamline operations, and foster innovation across their organizations.

According to the U.S. General Services Administration (GSA), over 200 federal use cases of Robotic Process Automation (RPA) have been deployed across agencies, with reported savings of over 1 million labor hours annually. These RPA systems often integrate AI for intelligent document classification and decision-making source.

Market Dynamics:

Driver:

Enhanced decision-making & accuracy

By integrating machine learning, predictive analytics, and advanced data analysis, AI-driven process automation strengthens organizational decision-making. These technologies can rapidly process vast datasets, detect patterns, and deliver actionable insights for informed, timely decisions. Minimizing human errors ensures higher operational accuracy and reliability. Businesses can forecast issues, optimize workflows, and take proactive actions effectively. Sectors including healthcare, finance, and logistics gain significant advantages through precise and data-informed strategies. The combination of automation and intelligent decision-making is a key factor fueling the global adoption of AI-driven process automation, as organizations seek consistent performance, risk mitigation, and optimized operational outcomes.

Restraint:

High implementation costs

Implementing AI-driven process automation requires substantial investment in technology, infrastructure, and software, which can hinder adoption, especially among small and medium businesses. Beyond the initial expenditure, ongoing maintenance, updates, and employee training add to the financial burden. Large corporations can often manage these costs, but smaller firms may find it challenging to justify such investments. The high cost barrier impacts the decision-making process and slows the widespread integration of AI automation. Consequently, despite the operational benefits, high implementation expenses remain a significant restraint for organizations aiming to adopt AI-driven process automation across industries.

Opportunity:

Expansion in industry-specific solutions

AI-driven process automation creates prospects for crafting industry-specific solutions that cater to sectors like healthcare, finance, manufacturing, and logistics. These tailored solutions address unique industry challenges, streamline critical workflows, ensure compliance, and enhance decision-making. By offering specialized AI automation services, providers can meet the increasing demand for targeted, high-value solutions. Industry-focused adoption not only improves operational efficiency but also helps companies achieve strategic goals effectively. Delivering customized AI-driven process automation solutions across diverse sectors presents a major opportunity for market growth, driving adoption, improving customer outcomes, and strengthening competitive positioning worldwide.

Threat:

Resistance to change among workforce

Adopting AI-driven process automation may encounter workforce resistance stemming from concerns about job loss, altered workflows, and the requirement to acquire new skills. Such opposition can slow down implementation, decrease efficiency, and limit automation effectiveness. Companies must focus on change management strategies, employee training, and engagement initiatives to foster acceptance and ease transitions. Ignoring employee concerns can lead to reduced morale, inefficiencies, and underutilization of AI systems. Consequently, resistance from employees represents a notable threat, potentially hindering widespread adoption and diminishing the overall benefits of AI-driven process automation across industries.

Covid-19 Impact:

The COVID-19 outbreak had a profound effect on the AI-driven process automation market, accelerating the adoption of digital and automation technologies. Remote work, operational disruptions, and social distancing measures compelled organizations to implement AI-driven solutions to ensure continuity, streamline processes, and reduce manual dependency. Industries such as healthcare, logistics, finance, and e-commerce leveraged automation to manage increased workloads efficiently. The crisis underscored the importance of operational resilience, scalability, and agility, prompting long-term investments in AI-powered systems. Consequently, the pandemic served as a catalyst for growth, emphasizing the strategic value of AI-driven process automation and driving widespread adoption across diverse sectors.

The on-premise segment is expected to be the largest during the forecast period

The on-premise segment is expected to account for the largest market share during the forecast period, as organizations prioritize control, security, and customization of their automation platforms. Businesses handling sensitive information or critical operations often choose on-premise solutions to maintain data privacy, comply with regulations, and integrate smoothly with existing IT infrastructure. Internal management of AI-driven workflows reduces reliance on external providers and ensures process oversight. Companies requiring bespoke solutions for unique workflows or industry-specific needs prefer on-premise deployments. Overall, this segment's leading position is fueled by the demand for robust control, enhanced security, and flexible automation solutions, making it the preferred choice for enterprises worldwide.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, driven by the need to enhance operational efficiency, patient care, and compliance with regulations. AI automation enables healthcare providers to simplify administrative workflows, process large datasets, and increase accuracy in diagnostics and treatments. Life sciences firms use AI to speed up drug discovery, optimize clinical trials, and boost research outcomes. Rising investments in digital transformation, cost optimization, and improved healthcare delivery are accelerating adoption. As a result, the Healthcare & Life Sciences segment leads in growth rate, emerging as the most rapidly expanding sector for AI-driven process automation worldwide.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, fueled by advanced digital infrastructure, rapid adoption of AI solutions, and substantial investments in innovation and R&D. Organizations across sectors like healthcare, finance, manufacturing, and IT leverage AI automation to streamline operations, cut costs, and enable smarter decision-making. Supportive government policies, regulatory stability, and a skilled workforce further strengthen the region's market position. The region's technological maturity, early adoption tendencies, and focus on innovation collectively reinforce its dominance, making North America the foremost contributor to global growth in AI-driven process automation across industries and business functions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digitalization, increased adoption of AI technologies, and rising investments in automation. Key economies such as China, India, Japan, and South Korea are implementing AI automation to optimize operations, cut costs, and boost productivity in sectors including manufacturing, healthcare, logistics, and BFSI. The region's growth is further supported by government policies, technological innovations, and a growing skilled workforce. With companies focusing on efficiency, innovation, and process improvement, Asia-Pacific is poised for accelerated expansion, establishing itself as the region with the highest CAGR in the global AI-driven process automation market.

Key players in the market

Some of the key players in AI-Driven Process Automation Market include UiPath, Automation Anywhere, Blue Prism (SS&C Blue Prism), AutomationEdge, AiFA Labs, Bizagi, Kofax, Laiye, Voypost, Automation House, AntWorks, Pega, SAP, Appian, IBM and DataRobot.

Key Developments:

In October 2025, IBM announced that it has signed a definitive agreement to acquire Cognitus, a leading SAP S/4HANA services provider, with industry-specific, AI-powered solutions. Cognitus will bring mission-critical SAP skills, including in RISE and GROW with SAP, as well as an extensive portfolio of software assets. This combination of services, software and industry expertise, aligns with IBM's asset-based approach to digital transformation, driving increased productivity and operational efficiency for clients around the world.

In August 2025, SAP and SmartRecruiters announced that SAP has entered into an agreement to acquire SmartRecruiters, a leading talent acquisition (TA) software provider. SmartRecruiters' deep expertise in high-volume recruiting, recruitment automation and AI-enabled candidate experience and engagement are considered an ideal addition to the SAP SuccessFactors human capital management (HCM) suite.

In March 2025, UiPath announced that it has negotiated a new global consulting agreement with a major Electronic Medical Records (EMR) platform to accelerate professional services programs for customers in 16 new countries. With the agreement, UiPath significantly expands its professional services capabilities for healthcare organizations and makes customer and partner access to this EMR platform faster and more seamless.

Components Covered:

• Automation Platforms
• Professional Services

Deployment Models Covered:

• On-Premise
• Cloud
• Hybrid

Organization Sizes Covered:

• Large Enterprises
• Small & Medium Enterprises (SMEs)

Applications Covered:

• Finance Automation
• HR Process Automation
• Customer Interaction Automation
• IT Workflow Automation
• Procurement & Inventory Automation
• Governance & Compliance Automation

End Users Covered:

• Banking, Financial Services & Insurance (BFSI)
• Manufacturing & Logistics
• Healthcare & Life Sciences
• Retail & E-Commerce
• Telecom & IT
• Energy & Utilities
• Government & Public Sector
• Media & Entertainment

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global AI-Driven Process Automation Market, By Component

• 5.1 Introduction
• 5.2 Automation Platforms
• 5.3 Professional Services

6 Global AI-Driven Process Automation Market, By Deployment Model

• 6.1 Introduction
• 6.2 On-Premise
• 6.3 Cloud
• 6.4 Hybrid

7 Global AI-Driven Process Automation Market, By Organization Size

• 7.1 Introduction
• 7.2 Large Enterprises
• 7.3 Small & Medium Enterprises (SMEs)

8 Global AI-Driven Process Automation Market, By Application

• 8.1 Introduction
• 8.2 Finance Automation
• 8.3 HR Process Automation
• 8.4 Customer Interaction Automation
• 8.5 IT Workflow Automation
• 8.6 Procurement & Inventory Automation
• 8.7 Governance & Compliance Automation

9 Global AI-Driven Process Automation Market, By End User

• 9.1 Introduction
• 9.2 Banking, Financial Services & Insurance (BFSI)
• 9.3 Manufacturing & Logistics
• 9.4 Healthcare & Life Sciences
• 9.5 Retail & E-Commerce
• 9.6 Telecom & IT
• 9.7 Energy & Utilities
• 9.8 Government & Public Sector
• 9.9 Media & Entertainment

10 Global AI-Driven Process Automation Market, By Geography

• 10.1 Introduction
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
  • 10.2.3 Mexico
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 Italy
  • 10.3.4 France
  • 10.3.5 Spain
  • 10.3.6 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 Japan
  • 10.4.2 China
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 New Zealand
  • 10.4.6 South Korea
  • 10.4.7 Rest of Asia Pacific
• 10.5 South America
  • 10.5.1 Argentina
  • 10.5.2 Brazil
  • 10.5.3 Chile
  • 10.5.4 Rest of South America
• 10.6 Middle East & Africa
  • 10.6.1 Saudi Arabia
  • 10.6.2 UAE
  • 10.6.3 Qatar
  • 10.6.4 South Africa
  • 10.6.5 Rest of Middle East & Africa

11 Key Developments

• 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 11.2 Acquisitions & Mergers
• 11.3 New Product Launch
• 11.4 Expansions
• 11.5 Other Key Strategies

12 Company Profiling

• 12.1 UiPath
• 12.2 Automation Anywhere
• 12.3 Blue Prism (SS&C Blue Prism)
• 12.4 AutomationEdge
• 12.5 AiFA Labs
• 12.6 Bizagi
• 12.7 Kofax
• 12.8 Laiye
• 12.9 Voypost
• 12.10 Automation House
• 12.11 AntWorks
• 12.12 Pega
• 12.13 SAP
• 12.14 Appian
• 12.15 IBM
• 12.16 DataRobot