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市场调查报告书
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1871961

全球智慧流程自动化市场:预测至 2032 年-按组件、技术、部署方式、组织规模、应用、最终用户和地区进行分析

Intelligent Process Automation Market Forecasts to 2032 - Global Analysis By Component, Technology, Deployment Mode, Organization Size, Application, End User, and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究,预计到 2025 年,全球智慧过程自动化市场价值将达到 196 亿美元,到 2032 年将达到 769 亿美元。

预计在预测期内,智慧流程自动化 (IPA) 将以 21.5% 的复合年增长率成长。 IPA 结合了人工智慧、机器学习和机器人流程自动化,旨在简化和提升营运效率。这使得系统能够处理重复性任务、做出数据驱动的决策,并在最大限度减少人工干预的情况下持续改善绩效。透过整合自然语言处理和电脑视觉等认知技术,IPA 可以提高效率、减少错误,并帮助企业实现更智慧的流程自动化,从而打造更快、更准确、更经济高效的工作流程。

对营运效率和成本降低的需求日益增长

推动智慧流程自动化 (IPA) 普及的关键因素之一是企业不断面临的精简营运和降低营运成本的压力。各组织正在利用 IPA 实现复杂、基于规则的业务流程自动化,从而最大限度地减少人为干预,降低营运成本,并显着减少人为错误。这项提高效率的措施不仅能改善企业获利,还能释放人力资本,使其专注于更高价值的策略活动,从而在瞬息万变的商业环境中提升整体生产力和竞争优势。

资料安全和隐私问题

阻碍IPA普及的一大障碍是对资料安全和隐私的担忧。这些平台需要存取敏感的企业和客户资料才能运行,这极易导致资料洩露,并可能违反GDPR等严格法规。对智慧财产权窃盗、金融诈骗和声誉损害的担忧,使得企业,尤其是那些身处高度监管行业的企业,格外谨慎。因此,确保IPA解决方案中强大的资料管治和安全通讯协定,是供应商赢得市场广泛信任的关键挑战。

开发产业专用的解决方案

通用平台往往无法应对银行、医疗保健和製造业等行业特有的监管和工作流程挑战。透过遵循行业标准并为特定流程提供预先配置解决方案,供应商可以开拓新的收入来源。这种专业化有助于更深入渗透市场,为客户带来更快的部署速度和更高、更切实的投资报酬率 (ROI),从而加速产品应用。

来自新参与企业的激烈竞争

市场正受到新进业者的威胁,其中包括敏捷的Start-Ups和专业软体公司。这些企业通常以极具竞争力的价格推出创新且细分领域的解决方案,加剧市场竞争,给现有供应商带来压力。此外,市场饱和也可能导致价格战,压缩所有参与者的利润空间。现有企业必须不断创新并实现产品差异化,才能与这些颠覆性的、高性价比的替代方案竞争,并维持市场占有率。

新冠疫情的影响:

新冠疫情大大加速了智慧流程自动化(IPA)市场的发展。封锁和远距办公政策暴露了人工和纸本流程的脆弱性,迫使企业迫切寻求数位自动化解决方案以确保业务永续营运。这次危机也凸显了IPA在维持业务韧性方面的价值,财务、人力资源和客户服务等部门纷纷采用IPA来稳定工作流程,并应对分散式办公环境下需求的突发波动。

在预测期内,解决方案/平台细分市场将占据最大的市场份额。

预计在预测期内,解决方案/平台细分市场将占据最大的市场份额,因为它是实现自动化的核心技术产品。这包括企业直接部署用于流程自动化的基本软体、平台和工具。其市场份额之所以如此之大,是因为企业持续对底层自动化技术进行初始投资,以及对能够管理复杂企业级工作流程的强大、可扩展且集成的平台的需求,这使其成为IPA生态系统不可或缺的核心组成部分。

人工智慧 (AI) 和机器学习 (ML) 领域在预测期内将实现最高的复合年增长率

预计在预测期内,人工智慧 (AI)/机器学习 (ML) 领域将实现最高成长率,因为这些技术代表着从简单的基于规则的自动化向认知型、自我改进系统的演进。它们的整合对于处理非结构化资料、做出预测性决策以及管理传统自动化无法处理的复杂异常情况至关重要。此外,随着企业寻求更智慧、更具适应性的业务运营,对智慧流程自动化 (IPA) 解决方案中 AI/ML 功能的需求正在迅速成长,从而推动了该领域的显着成长。

占比最大的地区:

预计北美将在预测期内占据最大的市场份额。这项优势可归功于先进技术的早期广泛应用、主要IPA供应商的存在,以及成熟金融和IT产业对营运效率的高度重视。此外,全部区域对数位转型的高额投资和成熟的基础设施也为IPA解决方案的持续普及提供了沃土。

年复合成长率最高的地区:

预计亚太地区在预测期内将实现最高的复合年增长率。这项加速成长主要得益于快速的数位化、製造业和服务业的扩张,以及中国、印度和日本等国家对人工智慧和云端运算技术投资的不断增加。此外,提高成本竞争力的需求,以及政府对工业自动化的支持性政策,也推​​动了全部区域大中小企业积极采用工业自动化解决方案。

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  • 公司简介
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  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析(註:基于可行性检查)
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球智慧过程自动化市场(按组件划分)

  • 解决方案/平台
    • 机器人流程自动化 (RPA) 软体
    • 业务流程管理 (BPM) 套件
    • 人工智慧/认知自动化平台
    • 流程挖掘和发现工具
  • 服务
    • 专业服务
    • 託管服务

6. 全球智慧过程自动化市场(依技术划分)

  • 人工智慧(AI)和机器学习(ML)
    • 自然语言处理(NLP)
    • 电脑视觉/OCR
    • 预测分析
  • 机器人流程自动化 (RPA)
    • 有人驾驶自动化(人参与型)
    • 无人自动化(自主机器人)

7. 全球智慧流程自动化市场依部署方式划分

  • 本地部署
  • 云端基础的

8. 按组织规模分類的全球智慧流程自动化市场

  • 大公司
  • 小型企业

9. 全球智慧过程自动化市场(按应用领域划分)

  • 资料收集与检验
  • 客户服务与支援
  • 诈骗侦测、风险和合规管理
  • 发票处理和应付帐款
  • 人力资源入职与员工生命週期管理
  • 供应炼和物流管理
  • 其他应用

第十章 全球智慧过程自动化市场(以最终用户划分)

  • 介绍
  • 银行、金融服务和保险业 (BFSI)
  • 资讯科技/通讯
  • 医学与生命科​​学
  • 零售与电子商务
  • 製造业
  • 政府/公共部门
  • 能源与公用事业
  • 其他最终用户

第十一章 全球智慧过程自动化市场(按地区划分)

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章:主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併(M&A)
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章:公司简介

  • UiPath Inc.
  • Automation Anywhere, Inc.
  • SS&C Blue Prism
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • Appian Corporation
  • Pegasystems Inc.
  • ServiceNow, Inc.
  • NICE Ltd.
  • ABBYY LLC
  • Tungsten Automation
  • WorkFusion, Inc.
  • Accenture plc
  • Deloitte Touche Tohmatsu Limited
  • Genpact Limited
  • Tata Consultancy Services Limited
  • Infosys Limited
  • Cognizant Technology Solutions Corporation
  • Capgemini SE
Product Code: SMRC32331

According to Stratistics MRC, the Global Intelligent Process Automation Market is accounted for $19.6 billion in 2025 and is expected to reach $76.9 billion by 2032, growing at a CAGR of 21.5% during the forecast period. Intelligent Process Automation (IPA) combines artificial intelligence, machine learning, and robotic process automation to streamline and enhance business operations. It enables systems to handle repetitive tasks, make data-driven decisions, and continuously improve performance with minimal human input. By integrating cognitive technologies such as natural language processing and computer vision, IPA boosts efficiency, reduces errors, and helps organizations achieve smarter automation for faster, more accurate, and cost-effective workflows.

Market Dynamics:

Driver:

Rising demand for operational efficiency and cost reduction

The primary driver for Intelligent Process Automation (IPA) adoption is the relentless corporate pressure to streamline operations and reduce overhead. Organizations are leveraging IPA to automate complex, rule-based business processes, which minimizes manual intervention, slashes operational costs, and drastically reduces human error. This drive for efficiency not only improves bottom lines but also frees up human capital to focus on higher-value strategic tasks, thereby enhancing overall productivity and competitive agility in a fast-paced business environment.

Restraint:

Data security and privacy concerns

A significant barrier to IPA adoption is the apprehension surrounding data security and privacy. These platforms require access to sensitive corporate and customer data to function, creating substantial vulnerabilities to breaches and non-compliance with stringent regulations like GDPR. The fear of intellectual property theft, financial fraud, and reputational damage makes organizations, especially in highly regulated sectors, cautious. Consequently, ensuring robust data governance and security protocols within IPA solutions is a critical challenge that vendors must overcome to gain wider market trust.

Opportunity:

Development of industry-specific solutions

Generic platforms often fail to address unique regulatory and workflow challenges in sectors like banking, healthcare, or manufacturing. By offering pre-configured solutions that comply with industry standards and tackle niche processes, vendors can unlock new revenue streams. This specialization allows for deeper market penetration and provides clients with faster implementation and a higher, more tangible return on investment, driving accelerated adoption.

Threat:

Intense competition from new entrants

The market faces a notable threat from the influx of new entrants, including agile startups and specialized software firms. These players often introduce innovative, niche solutions at competitive prices, intensifying market rivalry and putting pressure on established vendors. Furthermore, this saturation can lead to price wars, potentially compressing profit margins for all participants. Incumbent players must continuously innovate and differentiate their offerings to maintain market share against these disruptive and cost-effective alternatives.

Covid-19 Impact:

The COVID-19 pandemic acted as a significant accelerant for the IPA market. Lockdowns and remote work mandates exposed the vulnerabilities of manual, paper-based processes, forcing businesses to urgently seek digital automation solutions to ensure operational continuity. This crisis underscored the value of IPA in maintaining business resilience, leading to a surge in adoption across functions like finance, HR, and customer service to stabilize workflows and manage sudden demand fluctuations in a distributed work environment.

The solutions/platforms segment is expected to be the largest during the forecast period

The solutions/platforms segment is expected to account for the largest market share during the forecast period as it constitutes the core technological offering that enables automation. This includes the essential software, platforms, and tools that organizations directly deploy to automate processes. The high share is driven by continuous initial investments in foundational automation technology, coupled with the need for robust, scalable, and integrated platforms that can manage complex enterprise-wide workflows, making it the indispensable centerpiece of the IPA ecosystem.

The artificial intelligence (AI) & machine learning (ML) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the artificial intelligence (AI) & machine learning (ML) segment is predicted to witness the highest growth rate as these technologies represent the evolution from simple rule-based automation to cognitive, self-improving systems. Their integration is crucial for handling unstructured data, making predictive decisions, and managing complex exceptions that traditional automation cannot. Furthermore, as businesses seek more intelligent and adaptive operations, the demand for AI/ML capabilities within IPA solutions is accelerating rapidly, fueling this segment's exceptional growth trajectory.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This dominance is attributed to the early and widespread adoption of advanced technologies, the presence of major IPA vendors, and a strong emphasis on operational efficiency across well-established financial and IT sectors. Additionally, high levels of investment in digital transformation initiatives and a mature infrastructure provide a fertile ground for the sustained deployment of IPA solutions across the region.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This accelerated growth is fueled by rapid digitalization, expanding manufacturing and service sectors, and increasing investments in AI and cloud technologies from countries like China, India, and Japan. Moreover, the growing need to improve cost competitiveness and the supportive government policies towards industrial automation are driving the aggressive adoption of IPA solutions among small, medium, and large enterprises throughout the region.

Key players in the market

Some of the key players in Intelligent Process Automation Market include UiPath Inc., Automation Anywhere, Inc., SS&C Blue Prism, IBM Corporation, Microsoft Corporation, SAP SE, Appian Corporation, Pegasystems Inc., ServiceNow, Inc., NICE Ltd., ABBYY LLC, Tungsten Automation, WorkFusion, Inc., Accenture plc, Deloitte Touche Tohmatsu Limited, Genpact Limited, Tata Consultancy Services Limited, Infosys Limited, Cognizant Technology Solutions Corporation, and Capgemini SE.

Key Developments:

In November 2025, Automation Anywhere announced the acquisition of Aisera to strengthen its agentic automation and conversational AI offerings.

In October 2025, IBM unveiled new software and infrastructure capabilities to help enterprises operationalize AI, including agentic and infrastructure automation announcements.

In June 2025, Accenture launched its Distiller agentic AI framework (AI Refinery(TM)) to accelerate scalable, industry-grade agentic AI solutions.

In May 2025, ServiceNow launched AI Control Tower and introduced AI Agents/AI Platform innovations at Knowledge 2025 to govern and orchestrate enterprise AI agents and workflows.

Components Covered:

  • Solutions/Platforms
  • Services

Technologies Covered:

  • Artificial Intelligence (AI) & Machine Learning (ML)
  • Robotic Process Automation (RPA)

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Organization Sizes Covered:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

Applications Covered:

  • Data Capture and Validation
  • Customer Service & Support
  • Fraud Detection and Risk & Compliance Management
  • Invoice Processing and Accounts Payable
  • HR Onboarding and Employee Lifecycle Management
  • Supply Chain and Logistics Management
  • Other Applications

End Users Covered:

  • BFSI (Banking, Financial Services, and Insurance)
  • IT & Telecommunications
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing
  • Government & Public Sector
  • Energy & Utilities
  • Other End Users

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 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 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 Intelligent Process Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions/Platforms
    • 5.2.1 Robotic Process Automation (RPA) Software
    • 5.2.2 Business Process Management (BPM) Suites
    • 5.2.3 AI/Cognitive Automation Platforms
    • 5.2.4 Process Mining and Discovery Tools
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global Intelligent Process Automation Market, By Technology

  • 6.1 Introduction
  • 6.2 Artificial Intelligence (AI) & Machine Learning (ML)
    • 6.2.1 Natural Language Processing (NLP)
    • 6.2.2 Computer Vision/OCR
    • 6.2.3 Predictive Analytics
  • 6.3 Robotic Process Automation (RPA)
    • 6.3.1 Attended Automation (Human-in-the-Loop)
    • 6.3.2 Unattended Automation (Autonomous Bots)

7 Global Intelligent Process Automation Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global Intelligent Process Automation Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small and Medium-sized Enterprises (SMEs)

9 Global Intelligent Process Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Data Capture and Validation
  • 9.3 Customer Service & Support
  • 9.4 Fraud Detection and Risk & Compliance Management
  • 9.5 Invoice Processing and Accounts Payable
  • 9.6 HR Onboarding and Employee Lifecycle Management
  • 9.7 Supply Chain and Logistics Management
  • 9.8 Other Applications

10 Global Intelligent Process Automation Market, By End User

  • 10.1 Introduction
  • 10.2 BFSI (Banking, Financial Services, and Insurance)
  • 10.3 IT & Telecommunications
  • 10.4 Healthcare & Life Sciences
  • 10.5 Retail & E-commerce
  • 10.6 Manufacturing
  • 10.7 Government & Public Sector
  • 10.8 Energy & Utilities
  • 10.9 Other End Users

11 Global Intelligent Process Automation Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 UiPath Inc.
  • 13.2 Automation Anywhere, Inc.
  • 13.3 SS&C Blue Prism
  • 13.4 IBM Corporation
  • 13.5 Microsoft Corporation
  • 13.6 SAP SE
  • 13.7 Appian Corporation
  • 13.8 Pegasystems Inc.
  • 13.9 ServiceNow, Inc.
  • 13.10 NICE Ltd.
  • 13.11 ABBYY LLC
  • 13.12 Tungsten Automation
  • 13.13 WorkFusion, Inc.
  • 13.14 Accenture plc
  • 13.15 Deloitte Touche Tohmatsu Limited
  • 13.16 Genpact Limited
  • 13.17 Tata Consultancy Services Limited
  • 13.18 Infosys Limited
  • 13.19 Cognizant Technology Solutions Corporation
  • 13.20 Capgemini SE

List of Tables

  • Table 1 Global Intelligent Process Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Intelligent Process Automation Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Intelligent Process Automation Market Outlook, By Solutions/Platforms (2024-2032) ($MN)
  • Table 4 Global Intelligent Process Automation Market Outlook, By Robotic Process Automation (RPA) Software (2024-2032) ($MN)
  • Table 5 Global Intelligent Process Automation Market Outlook, By Business Process Management (BPM) Suites (2024-2032) ($MN)
  • Table 6 Global Intelligent Process Automation Market Outlook, By AI/Cognitive Automation Platforms (2024-2032) ($MN)
  • Table 7 Global Intelligent Process Automation Market Outlook, By Process Mining and Discovery Tools (2024-2032) ($MN)
  • Table 8 Global Intelligent Process Automation Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Intelligent Process Automation Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 10 Global Intelligent Process Automation Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 11 Global Intelligent Process Automation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 12 Global Intelligent Process Automation Market Outlook, By Artificial Intelligence (AI) & Machine Learning (ML) (2024-2032) ($MN)
  • Table 13 Global Intelligent Process Automation Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 14 Global Intelligent Process Automation Market Outlook, By Computer Vision/OCR (2024-2032) ($MN)
  • Table 15 Global Intelligent Process Automation Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 16 Global Intelligent Process Automation Market Outlook, By Robotic Process Automation (RPA) (2024-2032) ($MN)
  • Table 17 Global Intelligent Process Automation Market Outlook, By Attended Automation (Human-in-the-Loop) (2024-2032) ($MN)
  • Table 18 Global Intelligent Process Automation Market Outlook, By Unattended Automation (Autonomous Bots) (2024-2032) ($MN)
  • Table 19 Global Intelligent Process Automation Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 20 Global Intelligent Process Automation Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 21 Global Intelligent Process Automation Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 22 Global Intelligent Process Automation Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 23 Global Intelligent Process Automation Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 24 Global Intelligent Process Automation Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
  • Table 25 Global Intelligent Process Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global Intelligent Process Automation Market Outlook, By Data Capture and Validation (2024-2032) ($MN)
  • Table 27 Global Intelligent Process Automation Market Outlook, By Customer Service & Support (2024-2032) ($MN)
  • Table 28 Global Intelligent Process Automation Market Outlook, By Fraud Detection and Risk & Compliance Management (2024-2032) ($MN)
  • Table 29 Global Intelligent Process Automation Market Outlook, By Invoice Processing and Accounts Payable (2024-2032) ($MN)
  • Table 30 Global Intelligent Process Automation Market Outlook, By HR Onboarding and Employee Lifecycle Management (2024-2032) ($MN)
  • Table 31 Global Intelligent Process Automation Market Outlook, By Supply Chain and Logistics Management (2024-2032) ($MN)
  • Table 32 Global Intelligent Process Automation Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 33 Global Intelligent Process Automation Market Outlook, By End User (2024-2032) ($MN)
  • Table 34 Global Intelligent Process Automation Market Outlook, By BFSI (Banking, Financial Services, and Insurance) (2024-2032) ($MN)
  • Table 35 Global Intelligent Process Automation Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 36 Global Intelligent Process Automation Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 37 Global Intelligent Process Automation Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 38 Global Intelligent Process Automation Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 39 Global Intelligent Process Automation Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 40 Global Intelligent Process Automation Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 41 Global Intelligent Process Automation Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.