全球智慧过程自动化市场规模（按技术、应用、产业垂直、地区和预测）

智慧过程自动化市场规模与预测

2024 年智慧流程自动化市场规模价值为 121.4 亿美元，预计到 2032 年将达到 308.6 亿美元，2026 年至 2032 年的复合年增长率为 12.37%。

• 智慧流程自动化 (IPA) 是利用人工智慧 (AI)、机器学习 (ML) 和机器人流程自动化 (RPA) 等先进技术实现复杂业务的自动化。 IPA 改进了传统的自动化，让系统可以从数据中学习并做出智慧决策，从而提高效率、准确性和速度。
• IPA 用于自动化资料输入和报告等日常业务，使用聊天机器人和虚拟代理优化客户服务，并改善资料分析以便做出更明智的决策。 IPA 也用于合规性监控、诈欺侦测和供应链管理，帮助组织提高生产力和准确性，同时让员工专注于更具策略性的活动。
• 智慧流程自动化 (IPA) 的未来在于其能够与人工智慧技术深度融合，并实现更先进的认知自动化。随着企业持续采用数位转型策略，对 IPA 的需求将持续成长，从而实现更深入的人机协作。未来的使用案例可能包括完全自主的决策系统和用于预测洞察的高级分析，使企业能够主动回应市场变化和客户需求。

智慧流程自动化的全球市场动态

影响全球智慧过程自动化市场的关键市场动态：

关键市场驱动因素

• 对业务效率的需求日益增长：各行各业的组织都在努力提高业务效率并降低成本。 IPA技术透过自动化重复性流程、减少人为错误并提高生产力来改善业务流程。越来越多的公司正在利用自动化技术来改善业务，并将人力资源重新分配到更具策略性的活动中。对效率的重视是市场扩张的关键驱动力。
• 人工智慧和机器学习的进步：人工智慧 (AI) 和机器学习 (ML) 技术的快速发展显着提升了 IPA 解决方案的功能。这些突破使电脑能够从数据中学习，适应新情况并自主做出智慧决策。随着人工智慧和机器学习的不断进步，它们与 IPA 技术的结合将变得更加强大和有效，在寻求新型自动化解决方案的企业中越来越受欢迎。
• 提升客户经验的需求日益增长：企业越来越注重提供卓越的客户经验，以获得竞争优势。 IPA 透过聊天机器人和虚拟客服实现客户互动自动化，从而缩短回应时间并提供个人化服务，从而实现这一目标。随着企业努力提升客户满意度和忠诚度，对能够自动化客户互动步骤的智慧自动化解决方案的需求也日益增长。

主要挑战

• 整合复杂性：最大的挑战之一是将 IPA 解决方案整合到现有的IT基础设施和旧有系统中。许多组织混合使用与新自动化工具不相容的旧技术。这导致高昂的整合成本和漫长的实施时间，使公司不愿采用 IPA 解决方案。公司通常难以在支援现有系统和投资新自动化技术之间取得平衡。
• 技能短缺：另一个主要问题是缺乏机器学习、自然语言处理和机器人流程自动化 (RPA) 等自动化技术领域的熟练人才。这些领域的人才需求往往超过供应，导致企业难以组成精干的团队。这种技能缺口导致自动化技术的采用和利用效率低下，阻碍了企业充分发挥其投资价值。
• 变革管理：成功实施IPA需要公司内部的文化与组织变革。员工可能会因为担心失业或不了解自动化的优势而犹豫是否要采用新的自动化流程。组织需要投资变革管理措施，例如培训和沟通，以创造一种支持人机协作的自动化友善文化。

主要趋势：

• 人工智慧 (AI) 与机器学习 (ML) 的融合：IPA 市场最重要的趋势之一是人工智慧 (AI) 和机器学习 (ML) 技术的日益普及。这些改进使组织不仅能够自动化日常业务，还能实现复杂决策流程的自动化。基于人工智慧的洞察能够提高自动化系统的准确性和效率，使组织能够优化流程、降低成本并改善服务交付。
• 超自动化的兴起：随着企业寻求整个流程而非单一任务的自动化，超自动化正在蓬勃发展。这种方法结合了多种自动化技术，包括机器人流程自动化 (RPA)、人工智慧 (AI) 和分析技术，以製定全面的自动化计划。采用超自动化的企业可以提高业务效率、敏捷性和扩充性，进而提升客户体验和竞争优势。
• 注重员工体验：随着自动化日益普及，人们越来越重视提升员工体验。企业逐渐意识到人机协作的价值，自动化工具是人力的补充而非替代。这种方法强调使用者友善的介面和无缝的工作流程，使员工能够专注于更高价值的业务，同时将日常业务自动化。

目录

第一章智慧过程自动化全球市场介绍

• 市场概览
• 研究范围
• 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

• 资料探勘
• 验证
• 第一手资料
• 资料来源列表

第四章全球智慧流程自动化市场展望

• 概述
• 市场动态
  • 驱动程式
  • 限制因素
  • 机会
• 波特五力模型
• 价值链分析

5. 全球智慧过程自动化市场（按技术）

• 概述
• 电脑视觉
• 机器学习
• 自然语言处理
• 虚拟代理
• 其他的

6. 全球智慧过程自动化市场（按应用）

• 概述
• 安全功能
• IT营运
• 应用程式管理
• 业务流程自动化
• 其他的

第七章全球智慧过程自动化市场（依产业垂直划分）

• 概述
• 製造业
• 零售
• BSFI
• 资讯科技和电信
• 卫生保健
• 其他的

8. 全球智慧过程自动化市场（按地区）

• 概述
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 世界其他地区
  • 拉丁美洲
  • 中东和非洲

9. 全球智慧过程自动化市场的竞争格局

• 概述
• 各公司市场排名
• 主要发展策略

第十章 公司简介

• Tata Consultancy Service
• Infosys
• Cognizant
• Accenture
• Mindtree
• Xerox Corporation
• Capgemini
• Atos
• Genpact
• IBM Corporation

第十一章 附录

• 相关调查

Intelligent Process Automation Market Size And Forecast

Intelligent Process Automation Market Size was valued at USD 12.14 Billion in 2024 and is projected to reach USD 30.86 Billion by 2032, growing at a CAGR of 12.37% from 2026 to 2032.

• Intelligent process automation (IPA) is the use of advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to automate complicated business operations. IPA improves traditional automation by allowing systems to learn from data and make intelligent judgments, resulting in increased efficiency, accuracy, and speed.
• It is used to automate monotonous operations like data entry and report generation optimize customer service using chatbots and virtual agents, and improve data analysis for better decision-making. IPA is also used for compliance monitoring, fraud detection, and supply chain management where it helps organizations enhance productivity and accuracy while allowing employees to focus on more strategic activities.
• The future of intelligent process automation lies in its ability to integrate more deeply with AI technologies allowing for greater levels of cognitive automation. As organizations continue to adopt digital transformation strategies, the demand for IPA will grow leading to enhanced human-AI collaboration. Future use cases may include fully autonomous decision-making systems and advanced analytics for predictive insights enabling businesses to respond proactively to market changes and customer needs.

Global Intelligent Process Automation Market Dynamics

The key market dynamics that are shaping the global intelligent process automation market include:

Key Market Drivers:

• Increased Demand for Operational Efficiency: Organisations across industries are working to improve operational efficiency and cut expenses. IPA technologies improve business processes by automating repetitive procedures, reducing human error, and increasing productivity. Companies are increasingly using automation technologies to improve operations, freeing up human resources for more strategic activities. The emphasis on efficiency is a key driver of market expansion.
• Advancements in Artificial Intelligence and Machine Learning: The rapid advancement of artificial intelligence (AI) and machine learning (ML) technology has significantly increased the capabilities of IPA solutions. These breakthroughs let computers learn from data, adapt to new situations, and make intelligent judgments on their own. As AI and ML improve, their incorporation with IPA technologies makes them more powerful and effective resulting in increased acceptance among businesses looking for novel automation solutions.
• Rising Need for Improved Customer Experience: Businesses are increasingly focussing on providing excellent customer experience to acquire a competitive advantage. IPA makes this possible by automating customer interactions with chatbots and virtual agents, resulting in speedier response times and personalized services. As companies strive to improve customer pleasure and loyalty, the demand for intelligent automation solutions that help automate customer interaction procedures grows.

Key Challenges:

• Integration Complexity: One of the most difficult difficulties is integrating IPA solutions into current IT infrastructure and legacy systems. Many organizations use a mix of obsolete technologies that may not be compatible with new automation tools. This might result in large integration costs and longer implementation times making firms reluctant to embrace IPA solutions. Companies frequently struggle to strike a balance between supporting existing systems and investing in new automation technologies.
• Skill Shortages: Another significant difficulty is a lack of skilled individuals with competence in automation technologies such as Machine Learning, Natural Language Processing, and Robotic Process Automation (RPA). The demand for talent in these fields frequently exceeds supply making it challenging for businesses to establish capable teams. This skills gap can result in ineffective installation and underutilization of automation technologies preventing businesses from realizing the full value of their investments.
• Change Management: Successful adoption of IPA necessitates cultural and organizational changes within businesses. Employees may be hesitant to adopt new automated procedures because they are concerned about job loss or do not grasp the benefits of automation. Organizations must invest in change management measures such as training and communication to develop an automation-friendly culture that supports human-machine collaboration.

Key Trends:

• Integration of Artificial Intelligence (AI) and Machine Learning (ML): One of the most significant trends in the IPA market is the growing use of AI and ML technologies. These improvements enable organizations to automate not only routine jobs but also complicated decision-making processes. AI-powered insights improve the accuracy and efficiency of automated systems enabling organizations to optimize processes, cut costs, and improve service delivery.
• Rise of Hyperautomation: Hyperautomation is gaining traction as organizations strive to automate entire processes rather than individual jobs. This approach involves mixing several automation technologies such as robotic process automation (RPA), artificial intelligence (AI), and analytics to develop a comprehensive automation plan. Companies that use hyper-automation can increase operational efficiency, agility, and scalability, resulting in better customer experiences and competitive benefits.
• Focus on Employee Experience: As automation becomes increasingly ubiquitous, there is a greater emphasis on improving employee experience. Organisations are recognising the value of human-AI collaboration with automation tools complementing rather than replacing human efforts. This approach emphasises user-friendly interfaces and seamless workflows allowing staff to automate monotonous operations while focussing on higher-value activities.

Global Intelligent Process Automation Market Regional Analysis

Here is a more detailed regional analysis of the global intelligent process automation market:

North America:

• North America dominates the intelligent process automation (IPA) market because of its excellent technological infrastructure and emphasis on innovation. The region is home to numerous major technology corporations and startups that invest extensively in R&D, accelerating the adoption of intelligent automation solutions. These solutions are increasingly used in a variety of industries including finance, healthcare, and manufacturing to improve efficiency, save operating costs, and improve client experiences.
• Furthermore, North America's market supremacy is due to the presence of a trained workforce and a culture that embraces digital change. Organizations in the region are more willing to adopt new technology incorporating artificial intelligence and machine learning into their operations. Regulatory frameworks also encourage innovation creating a climate suitable to the expansion of IPA. As organizations seek competitive advantages through automation, North America's resources, knowledge, and market demand strengthen its position as a leader in intelligent process automation.

Asia-Pacific:

• The Asia Pacific region is the fastest-growing market for intelligent process automation (IPA) due to its rapid digital transformation and increased adoption of advanced technology. Countries such as China, India, and Japan are making significant investments in automation to increase operational efficiency, lower costs, and enhance consumer experiences. The expansion of smart technologies such as artificial intelligence (AI), machine learning, and robotic process automation has hastened the use of IPA in industries like as manufacturing, banking, and healthcare.
• Furthermore, the rise of start-ups and technology enterprises in the region is encouraging innovation and competitiveness which is boosting the use of IPA solutions. Governments in the Asia Pacific are also pushing digital initiatives and smart city projects fostering a favorable atmosphere for automation technologies. The Asia Pacific area is a global leader in intelligent process automation due to its big, tech-savvy workforce and the growing need for businesses to optimize operations in response to rising customer expectations.

Global Intelligent Process Automation Market: Segmentation Analysis

The Global Intelligent Process Automation Market is segmented based on Technology, Application, Vertical, and Geography.

Intelligent Process Automation Market, By Technology

• Computer Vision
• Machine Learning
• Natural Language Processing
• Virtual Agents
• Others

Based on Technology, the Global Intelligent Process Automation Market is segmented into Computer Vision, Machine Learning, Natural Language Processing, Virtual Agents, and Others. In the intelligent process automation (IPA) market, Machine Learning is the most dominant technology. Its ability to analyze vast amounts of data and learn from patterns makes it essential for automating complex processes and enhancing decision-making. Machine Learning algorithms enable systems to improve over time, providing significant efficiency gains. While computer vision and natural language processing are also important for specific applications such as document processing and customer interaction, machine learning's broad applicability across various industries solidifies its leading position in IPA.

Intelligent Process Automation Market, By Vertical

• Manufacturing
• Healthcare
• Retail
• IT & Telecom
• BSFI
• Others

Based on Vertical, the Global Intelligent Process Automation Market is segmented into Manufacturing, Healthcare, Retail, IT & Telecom, BSFI, and Others. The manufacturing sector is the most dominant in the intelligent process automation (IPA) market. This dominance stems from the industry's need for efficiency, cost reduction, and enhanced productivity. Manufacturers are increasingly adopting automation technologies to streamline operations, minimize human error, and improve supply chain management. The implementation of intelligent process automation helps optimize production processes, reduce downtime, and enable real-time data analysis. As a result, manufacturing leads the way in utilizing IPA solutions to drive innovation and competitiveness.

Intelligent Process Automation Market, By Application

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

Based on Application, the Global Intelligent Process Automation Market is segmented into Security, IT Operations, Application Management, Business Process Automation, and Others. In the intelligent process automation market, Business Process Automation (BPA) is the most dominant segment. BPA focuses on streamlining and optimizing business workflows, significantly improving efficiency and productivity across various industries. By automating repetitive tasks, organizations can reduce operational costs and enhance service delivery. As companies increasingly recognize the importance of operational efficiency and agility, the demand for BPA solutions continues to grow driving advancements in intelligent process automation technologies. Other segments like IT operations and application management also contribute but are less dominant compared to BPA.

Intelligent Process Automation Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on Geography, the Global Intelligent Process Automation Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America is more dominant in the intelligent process automation (IPA) market due to its advanced technological infrastructure and high adoption of digital transformation initiatives across industries. The region boasts a strong presence of leading technological firms and startups that drive innovation in automation solutions. Additionally, significant investments in research and development, along with favorable government policies supporting automation further enhance market growth. The increasing demand for operational efficiency and cost reduction among enterprises also contributes to North America's dominance in this sector.

Key Players

The "Global Intelligent Process Automation Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Tata Consultancy Services, Cognizant, Accenture, IBM Corporation, Genpact, Atos, Infosys, Capgemini, Xerox Corporation, Pegasystems, Wipro, Mindtree, and Others.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Intelligent Process Automation Market Key Developments

• In June 2023, Robocorp, the forefront Intelligent Process Automation (IPA) company, announced its partnership with Siili Solutions Plc, a full-service development partner for innovating, designing, building, and running digital services. This collaboration brings together two champions of open-source automation and empowers organizations in their transition from legacy to new-generation intelligent process automation.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3. Porters Five Force Model
• 4.4. Value Chain Analysis

5 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY TECHNOLOGY

• 5.1 Overview
• 5.2 Computer Vision
• 5.3 Machine Learning
• 5.4 Natural Language Processing
• 5.5 Virtual Agents
• 5.6 Others

6 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY APPLICATION

• 6.1 Overview
• 6.2 Security
• 6.3 IT Operation
• 6.4 Application Management
• 6.5 Business Process Automation
• 6.6 Others

7 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY VERTICAL

• 7.1 Overview
• 7.2 Manufacturing
• 7.3 Retail
• 7.4 BSFI
• 7.5 IT & Telecom
• 7.6 Healthcare
• 7.7 Others

8 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET, BY GEOGRAPHY

• 8.1 Overview
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 U.K.
  • 8.3.3 France
  • 8.3.4 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Rest of Asia Pacific
• 8.5 Rest of the World
  • 8.5.1 Latin America
  • 8.5.2 Middle East and Africa

9 GLOBAL INTELLIGENT PROCESS AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 9.1 Overview
• 9.2 Company Market Ranking
• 9.3 Key Development Strategies

10 COMPANY PROFILES

• 10.1 Tata Consultancy Service
  • 10.1.1 Overview
  • 10.1.2 Financial Performance
  • 10.1.3 Product Outlook
  • 10.1.4 Key Developments
• 10.2 Infosys
  • 10.2.1 Overview
  • 10.2.2 Financial Performance
  • 10.2.3 Product Outlook
  • 10.2.4 Key Developments
• 10.3 Cognizant
  • 10.3.1 Overview
  • 10.3.2 Financial Performance
  • 10.3.3 Product Outlook
  • 10.3.4 Key Developments
• 10.4 Accenture
  • 10.4.1 Overview
  • 10.4.2 Financial Performance
  • 10.4.3 Product Outlook
  • 10.4.4 Key Developments
• 10.5 Mindtree
  • 10.5.1 Overview
  • 10.5.2 Financial Performance
  • 10.5.3 Product Outlook
  • 10.5.4 Key Developments
• 10.6 Xerox Corporation
  • 10.6.1 Overview
  • 10.6.2 Financial Performance
  • 10.6.3 Product Outlook
  • 10.6.4 Key Developments
• 10.7 Capgemini
  • 10.7.1 Overview
  • 10.7.2 Financial Performance
  • 10.7.3 Product Outlook
  • 10.7.4 Key Developments
• 10.8 Atos
  • 10.8.1 Overview
  • 10.8.2 Financial Performance
  • 10.8.3 Product Outlook
  • 10.8.4 Key Developments
• 10.9 Genpact
  • 10.9.1 Overview
  • 10.9.2 Financial Performance
  • 10.9.3 Product Outlook
  • 10.9.4 Key Developments
• 10.10 IBM Corporation
  • 10.10.1 Overview
  • 10.10.2 Financial Performance
  • 10.10.3 Product Outlook
  • 10.10.4 Key Developments

11 Appendix

• 11.1 Related Research