세계의 지능형 자동화 시장 : 컴포넌트별, 기업별, 업계별, 지역별, 기회, 예측(2018-2032년)

Global intelligent automation market is projected to witness a CAGR of 16.10% during the forecast period 2025-2032, growing from USD 16.62 billion in 2024 to USD 54.86 billion in 2032. The global intelligent automation market is witnessing significant growth, driven by the increasing adoption of AI, machine learning, and robotic process automation (RPA) to streamline operations and enhance productivity.

As companies seek to reduce manual intervention, operational costs, and improve accuracy, intelligent automation solutions are now a strategic necessity in sectors such as BFSI, healthcare, manufacturing, and retail. Growing business process complexity and the need for real-time data processing are also fueling the market. With the growing digital transformation and increasing adoption of remote work practices, companies are incorporating intelligent automation into their core systems to achieve faster decision-making, improved compliance, and enhanced process scalability. From cognitive robots to AI-driven technology for analytical and document processing, intelligent automation is reshaping the operating backbone of businesses. For instance, in May 2025, NTT DATA launched its Smart AI Agent Ecosystem to automate business processes, enhance efficiency, and drive digital transformation across various industries.

Additionally, automation platforms are increasingly utilizing natural language processing (NLP), optical character recognition (OCR), and process mining to provide end-to-end process visibility and intelligent insights. Such technology, coupled with increasing investments in automation infrastructure, renders the global intelligent automation market an ideal driver of operational excellence and long-term competitiveness in the digital economy.

Increasing Demand for Enhanced Operational Efficiency and Cost Reduction Drives Market Growth

The global intelligent automation market is experiencing exponential growth in industries, aiming to increase operating efficiency by reducing market costs. In a rapidly digital world, enterprise solutions are preferred that streamline the workflows, eliminate excess, and promote productivity. Intelligent automation, which incorporates Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), and Natural Language Processing (NLP), enables businesses to automate routine operations, resulting in improved performance and substantial cost savings. Organizations in areas such as energy, finance, logistics, and manufacturing are adopting rapid automation to maintain competitiveness and optimize resource utilization. Automation not only reduces manual intervention but also supports real-time analytics, decision making, and scalability. Both front-office and back-office functions are being automated to reduce turnaround time and improve customer experience.

For example, in May 2024, GE Vennova Inc. launched the AI-managed autonomous inspection software to replace energy asset inspections. The solution enhances decision making in operational efficiency, accuracy, and energy infrastructure, indicating how automation is being integrated strategically to customize large-scale operations. As companies recognize the long-term benefits of intelligent automation, including agility, cost efficiency, and data-driven results, demand for advanced, scalable solutions continues to increase. Installing automation is the cornerstone of modern enterprise strategies.

Integration of Advanced AI Capabilities into Automation Platforms Propels the Market

The second most important factor propelling the intelligent automation market is the rapid embrace of advanced artificial intelligence technologies by automation platforms. With advancements in generative AI, predictive analytics, and contextual decision engines, intelligent automation has advanced from the rule-based level of automation to a more human-centric, context-aware, and dynamic level. Artificial intelligence-based automation platforms can now understand unstructured data, identify anomalies, make decisions based on predictive analysis, and even offer solutions for resolving complicated problems. Cognitive automation opens the possibility for organizations to automate more advanced activities that were previously not automated, such as customer interactions, legal document handling, or IT support. The outcome is not only improved customer experience but also a smart, self-optimizing operating configuration.

For instance, Nintex UK Ltd. released AI-powered updates to its Nintex Process Platform in June 2024, including native data storage and generative AI. The enhancements have significantly enriched the platform in handling sophisticated workflows with intelligence, making it more appealing to businesses seeking next-generation automation power. Such updates are the result of the continued integration of AI and automation, marking an era of increased digital maturity. Not. Only companies are automating today, but they are also designing adaptive systems that continually learn and improve. As intelligent AI continues to gain broader capabilities, this force is likely to remain at the forefront of bringing intelligent automation to all sectors.

Software Segment Holds a Significant Share of Global Intelligent Automation Market

The software market holds the largest market share of the global intelligent automation market and is likely to continue dominating during the forecast period. Growth is primarily driven by the increasing adoption of AI-based platforms, RPA software, and machine learning-based applications across various industries. Companies are expanding the use of intelligent automation software to enhance operational efficiency, reduce human error, and achieve better scalability of business processes. Intelligent automation software supports seamless integration into existing enterprise infrastructure, enabling businesses to automate complex processes, gather real-time insights, and respond quickly to evolving market trends. Additionally, the software evolves in line with advancements in AI capabilities, such as generative AI, predictive analytics, and cognitive automation, becoming more adaptive and intuitive. The benefits of scalability, customization, and flexibility offered by such solutions are also the reasons why these solutions are popular in the BFSI, healthcare, manufacturing, and retail sectors.

For instance, in April 2025, ABBYY launched a next-gen OCR API that brings significant improvement to data extraction quality for intelligent automation processes. The software release guarantees increased dependability of automation, particularly in document-oriented industries, further validating the leading edge of pioneering software in automation deployment. Due to its capacity to deliver higher ROI, simple deployment, and ongoing innovation, the software segment is expected to remain the foundation of the intelligent automation market in the coming years.

North America Dominates Global Intelligent Automation Market Size

North America is the leading region in the world's intelligent automation market, driven by its high-tech infrastructure, high adoption rate of advanced automation solutions, and significant presence of major industry players. The region, particularly the United States, has seen significant public and private investments in AI, machine learning, RPA, and intelligent process automation. Organizations across various industries, including BFSI, healthcare, manufacturing, and retail, are embedding intelligent automation to enhance customer experiences, minimize operational expenditures, and simplify workflows. North America's dominance is also supported by the rising demand for digital transformation, the availability of skilled talent, and supportive government policies. Organizations in North America are also quicker to adapt to the new age technologies, making the region a trendsetter in the global intelligent automation market.

For example, in May 2025, the Information Services Group (ISG) ranked WNS as a leader among intelligent automation services in the U.S. The ranking is a testament to the region's strength in providing end-to-end automation solutions that deliver quantifiable business outcomes. Despite rising concerns about tech job losses, increasing technological innovations, a competitive and innovative ecosystem, and growing enterprise demand for intelligent solutions, North America is likely to continue leading the smart automation market during the forecast period.

Impact of U.S. Tariffs on Global Intelligent Automation Market

The effect of U.S. tariffs on the global intelligent automation market is modest but not negligible. While the essence of the market is software, cloud computing, and digital platforms, which are less tariff-sensitive, the sensor, robot unit, and information processing system hardware components, generally imported from Asia, can see increased costs due to trade barriers. This has a knock-on effect on project cost and implementation schedules. In addition, geopolitical tensions and tariff volatility can disrupt the world's supply chains, causing organizations to hold back on expanding their automation deployments. These pressures also compel American companies to invest domestically in automation and innovation technologies, driving domestic growth while encouraging foreign competitors to diversify their sourcing and manufacturing geographies. Thus, while US tariffs cause short-term problems, they also reshape long-term strategies in the age of intelligent automation.

Key Players Landscape and Outlook

The global market for intelligent automation is currently dispersed worldwide, with numerous vendors offering a broad range of solutions across software, services, and hardware domains. They range from large technology companies to niche automation vendors and next-generation startups, all of which overwhelm the market with intense competition. All vendors focus on innovations such as AI-based workflow automation, robotic process automation (RPA), and process intelligence tools to enhance operational efficiency across various sectors.

Big players are continuing to set the pace with innovation and expanding the range of their offerings. For instance, in June 2025, Stratasys, along with Automation Intelligence LLC, announced the establishment of its North American Tooling Center of Excellence. The venture aims to enhance additive manufacturing by combining it with automation solutions, particularly for industrial customers. The center focuses on reducing lead times and improving customization for tooling solutions, reflecting how clever automation is also changing physical production processes.

The future is expected to see the market continue to advance, driven by increasing demand for comprehensive automation solutions. Organizations from sectors such as BFSI, healthcare, manufacturing, and retail are adopting intelligent automation to cut costs, improve accuracy, and increase scalability. For investors and clients, fragmentation presents multiple opportunities for partnerships and innovation. As more companies implement digital transformation, the future appears bright, with suppliers focusing on interoperability, ease-of-use platforms, and compatibility with existing IT infrastructure to gain a competitive advantage.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondent Demographics
• 5.2. Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Challenges Faced Post Purchase

6. Global Intelligent Automation Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Components
    • 6.2.1.1. Software
    • 6.2.1.2. Services
  • 6.2.2. By Enterprise
    • 6.2.2.1. Large Enterprise
    • 6.2.2.2. Small, and Medium Enterprise
  • 6.2.3. By Industry
    • 6.2.3.1. Automotive
    • 6.2.3.2. Pharmaceutical
    • 6.2.3.3. Retail and E-commerce
    • 6.2.3.4. Manufacturing
    • 6.2.3.5. BFSI
  • 6.2.4. By Region
    • 6.2.4.1. North America
    • 6.2.4.2. Europe
    • 6.2.4.3. Asia-Pacific
    • 6.2.4.4. South America
    • 6.2.4.5. Middle East and Africa
  • 6.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Component
  • 6.3.2. By Enterprise
  • 6.3.3. By Industry
  • 6.3.4. By Region

7. North America Intelligent Automation Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1. By Components
    • 7.2.1.1. Software
    • 7.2.1.2. Services
  • 7.2.2. By Enterprise
    • 7.2.2.1. Large Enterprise
    • 7.2.2.2. Small, and Medium Enterprise
  • 7.2.3. By Industry
    • 7.2.3.1. Automotive
    • 7.2.3.2. Pharmaceutical
    • 7.2.3.3. Retail and E-commerce
    • 7.2.3.4. Manufacturing
    • 7.2.3.5. BFSI
  • 7.2.4. By Country
    • 7.2.4.1. United States
    • 7.2.4.2. Canada
    • 7.2.4.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States Intelligent Automation Market Outlook, 2018-2032F
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Components
        • 7.3.1.2.1.1. Software
        • 7.3.1.2.1.2. Services
      • 7.3.1.2.2. By Enterprise
        • 7.3.1.2.2.1. Large Enterprise
        • 7.3.1.2.2.2. Small and Medium Enterprise
      • 7.3.1.2.3. By Industry
        • 7.3.1.2.3.1. Automotive
        • 7.3.1.2.3.2. Pharmaceuticals
        • 7.3.1.2.3.3. Retail and E-commerce
        • 7.3.1.2.3.4. Manufacturing
        • 7.3.1.2.3.5. BFSI

All segments will be provided for all regions and countries covered

8. Europe Intelligent Automation Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific Intelligent Automation Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America Intelligent Automation Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa Intelligent Automation Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Accenture PLC
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Key Products/Services Offered
    • 17.3.1.4. Key Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. Avanade Inc.
  • 17.3.3. Capgemini SE
  • 17.3.4. CGI Inc.
  • 17.3.5. Cisco Systems, Inc.
  • 17.3.6. Cognizant Technology Solutions Corporation
  • 17.3.7. Ernst & Young Global Limited
  • 17.3.8. IBM Corporation
  • 17.3.9. UiPath Inc.
  • 17.3.10. WorkFusion, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer