智慧过程自动化市场－全球产业规模、份额、趋势、机会与预测：按组件、部署、应用、组织规模、技术、产业垂直领域、地区和竞争格局预测，2021-2031年

全球智慧过程自动化 (IPA) 市场预计将从 2025 年的 166.8 亿美元成长到 2031 年的 388.2 亿美元，复合年增长率为 15.12%。

IPA（整合流程自动化）将机器人流程自动化 (RPA) 与人工智慧 (AI) 功能（例如机器学习）结合，以简化复杂的端到端企业流程。这一市场成长的主要驱动力是企业迫切需要提高营运效率、大幅降低成本并消除重复性工作流程中的人为错误。此外，企业正在利用 IPA 加速其数位转型 (DX) 计划，使员工能够专注于策略性、高价值的活动，而不是手动处理资料。

然而，由于缺乏能够设计和监管这些自动化系统的合格人员，市场面临巨大的障碍。这种人才短缺往往会减缓自动化技术的普及，并使自动化与现有传统基础设施的整合变得更加困难。根据NASSCOM在2024年发布的报告显示，约90%的企业计画增加在数位技术方面的支出，其中大部分将用于智慧自动化。儘管投资意愿强劲，但克服人才和技术障碍对于有效扩展这些项目至关重要。

市场驱动因素

快速的企业数位转型 (DX) 是全球智慧流程自动化 (IPA) 市场的关键驱动力。为了确保敏捷性和韧性，企业正从简单的任务自动化转向全面的流程协作。这种转变弥合了新旧技术之间的鸿沟，推动了能够处理跨越不同旧有系统和现代云端基础设施的复杂工作流程的平台的普及。企业的优先事项正从单纯降低成本转向获得策略营运柔软性，这需要能够提供全面可视性的解决方案。事实上，根据 Camunda 于 2024 年 2 月发布的报告，96% 的 IT 和业务领导者认为端到端流程自动化对于实现其业务目标至关重要。

此外，先进人工智慧和机器学习技术（尤其是生成式人工智慧）的融合，正透过促进非结构化资料处理的自动化，推动市场成长。与标准机器人流程自动化不同，人工智慧增强型系统能够进行自然语言处理、情绪分析和认知决策，从而拓展了自动化任务的范围。 Workato 于 2024 年 2 月发布的一份报告指出，生成式人工智慧在自动化工作流程中的应用年增了 400%。这种综合效应使企业能够从数据中挖掘更大价值，并更快地回应市场变化。 IBM 指出，到 2024 年，59% 的正在考虑人工智慧的 IT 专业人员计划加快自动化投资，以满足这一需求。

市场挑战

熟练专业人才的短缺是全球智慧流程自动化 (IPA) 市场成长的一大障碍。实施 IPA 系统需要同时具备机器人流程自动化 (RPA) 和机器学习、自然语言处理等高阶人工智慧领域专业知识的人才。对于企业而言，要找到既拥有这些综合专业知识，又具备将这些工具整合到日益复杂的旧有系统中的技术能力的人才变得越来越困难。因此，许多公司难以将自动化倡议推进到试点阶段之外，导致实施延迟和投资报酬率低。

人才短缺直接限制了市场的扩张潜力，因为企业往往缺乏有效管理和维护其自动化环境的内部能力。 CompTIA 的一项调查显示，81% 的人力资源负责人表示，到 2025 年，他们的组织将缺乏成功所需的人才和技能，并特别指出人工智慧是亟需培训的关键领域。日益扩大的技能差距迫使企业推迟雄心勃勃的数位转型策略，导致整个 IPA 产业的扩张速度放缓。

市场趋势

向自主代理AI工作流程的转变标誌着从静态脚本到能够自主执行任务的动态系统的关键性转变。与遵循僵化规则的传统机器人流程自动化不同，代理AI利用认知架构规划、确定优先顺序并执行多步骤工作流程，最大限度地减少人工干预。这一趋势正在改变市场格局，使数位员工能够应对模糊情况并适应即时变化，从而有效地弥合简单任务完成和复杂流程编排之间的差距。 MuleSoft在2025年1月发布的报告中重点阐述了这项转变的驱动因素，报告显示，93%的IT领导者计划在两年内部署自主代理以增强创新和工作流程效率。

此外，人机协作框架的兴起满足了营运和文化上的需求，旨在将数位化劳动力与人类团队融合而非取代。这一趋势的重点在于建立自动化系统，使其作为「数位化同事」增强人类能力，同时保留人类对复杂决策和特殊情况的监督。透过促进员工与自动化系统之间的协作关係，企业可以在保留人类判断力的同时，减少员工倦怠并扩大营运规模。这种模式正变得越来越受欢迎。微软在2025年4月发布的报告指出，82%的企业领导者预计在未来12至18个月内利用数位化劳动力扩展员工队伍。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球智慧过程自动化（IPA）市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（解决方案、服务）
  • 依部署方式（本机部署、云端部署）
  • 依用途（IT维运、业务流程自动化、应用管理、内容管理、安全等）
  • 依组织规模（中小企业、大型企业）
  • 按技术（自然语言处理、机器学习/深度学习等）
  • 按行业划分（银行、金融、保险、医疗保健、IT、通讯、政府、公共部门、製造业、消费品、零售、媒体、娱乐、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美智慧流程自动化 (IPA) 市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

7. 欧洲智慧流程自动化 (IPA) 市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区智慧流程自动化（IPA）市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲智慧流程自动化 (IPA) 市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

10. 南美智慧过程自动化 (IPA) 市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球智慧流程自动化（IPA）市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• 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

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Intelligent Process Automation (IPA) Market is projected to expand from USD 16.68 Billion in 2025 to USD 38.82 Billion by 2031, registering a CAGR of 15.12%. IPA merges Robotic Process Automation with artificial intelligence capabilities, such as machine learning, to streamline intricate, end-to-end corporate processes. The market is primarily propelled by the urgent demand for businesses to enhance operational efficiency, significantly lower expenses, and curtail human errors in repetitive workflows. Additionally, companies are utilizing IPA to expedite digital transformation initiatives, enabling employees to focus on strategic, high-value activities instead of manual data handling.

Nevertheless, the market encounters a major hurdle due to a scarcity of qualified professionals equipped to design and oversee these automated systems. This lack of talent often retards implementation and makes integrating automation with older legacy infrastructure more difficult. As reported by NASSCOM in 2024, approximately 90% of enterprises intended to boost their expenditure on digital technologies, with a significant portion targeting intelligent automation. Although the desire to invest is high, the effective scaling of these initiatives relies heavily on surmounting these workforce and technical barriers.

Market Driver

The rapid advancement of enterprise digital transformation efforts serves as a key catalyst for the Global Intelligent Process Automation (IPA) Market. Businesses are increasingly moving away from isolated task automation toward comprehensive process orchestration to guarantee agility and resilience. This transition fosters the adoption of platforms capable of handling complicated workflows across disparate legacy systems and modern cloud infrastructures, bridging the divide between old and new technology. The priority has shifted from mere cost reduction to attaining strategic operational flexibility, requiring solutions that offer complete visibility; indeed, a February 2024 report by Camunda revealed that 96% of IT and business leaders consider end-to-end process automation vital for meeting business objectives.

Furthermore, the incorporation of sophisticated AI and machine learning, especially generative AI, drives market growth by facilitating the automation of unstructured data processing. In contrast to standard robotic process automation, AI-enhanced systems can process natural language, assess sentiment, and execute cognitive judgments, expanding the range of automated tasks. A February 2024 Workato report highlighted a 400% surge in Generative AI usage within automation workflows year-over-year. This synergy enables firms to derive greater value from data and react more quickly to market shifts, with IBM noting in 2024 that 59% of IT professionals exploring AI plan to hasten their automation investments to meet these demands.

Market Challenge

The dearth of skilled experts constitutes a significant barrier to the growth of the Global Intelligent Process Automation (IPA) market. Deploying IPA systems demands a workforce skilled in both Robotic Process Automation (RPA) and advanced AI fields like machine learning and natural language processing. Locating candidates with this combined expertise, who also have the technical acumen to weave these tools into complicated legacy systems, is becoming increasingly challenging for businesses. As a result, many enterprises find it difficult to advance automation initiatives past the pilot stage, resulting in delayed deployments and reduced return on investment.

This lack of talent directly limits the market's ability to scale, as companies frequently lack the internal capacity to efficiently manage and sustain these automated environments. According to CompTIA, in 2025, 81% of HR professionals indicated that their organizations lacked the necessary talent and skills for success, specifically pointing to artificial intelligence as a critical area requiring immediate training. This expanding skills gap compels firms to postpone ambitious digital transformation strategies, thereby slowing the overall expansion rate of the IPA sector.

Market Trends

The transition toward Autonomous Agentic AI Workflows marks a crucial shift from static scripting to dynamic systems that execute tasks independently. Unlike conventional robotic process automation that adheres to strict rules, agentic AI utilizes cognitive architectures to plan, rank, and carry out multi-stage workflows with little human input. This trend transforms the market by allowing companies to utilize digital workers capable of managing ambiguity and adapting to real-time variables, effectively bridging the gap between simple task completion and complex process orchestration. The push for this shift is highlighted by MuleSoft's January 2025 report, where 93% of IT leaders expressed plans to implement autonomous agents within two years to enhance innovation and workflows.

Additionally, the rise of Human-in-the-Loop Collaborative Frameworks addresses the operational and cultural need to integrate digital labor with human teams rather than replacing them. This trend focuses on creating automation systems that act as "digital colleagues," enhancing human abilities while reserving human oversight for complex decisions or edge cases. By cultivating a cooperative relationship between staff and automated systems, companies can reduce burnout and expand operations while retaining human judgment. This model is becoming increasingly popular, with Microsoft's April 2025 report noting that 82% of leaders anticipate using digital labor to boost workforce capacity in the coming 12 to 18 months.

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

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
• Services

Intelligent Process Automation (IPA) Market, By Deployment

• On-premises
• Cloud

Intelligent Process Automation (IPA) Market, By Application

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

Intelligent Process Automation (IPA) Market, By Organization Size

• Small & Medium-Sized Enterprises
• Large Enterprises

Intelligent Process Automation (IPA) Market, By Technology

• Natural Language Processing
• Machine & Deep Learning
• Others

Intelligent Process Automation (IPA) Market, By Industry Vertical

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

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Intelligent Process Automation (IPA) Market.

Available Customizations:

Global Intelligent Process Automation (IPA) Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Intelligent Process Automation (IPA) Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solution, Services)
  • 5.2.2. By Deployment (On-premises, Cloud)
  • 5.2.3. By Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others)
  • 5.2.4. By Organization Size (Small & Medium-Sized Enterprises, Large Enterprises)
  • 5.2.5. By Technology (Natural Language Processing, Machine & Deep Learning, Others)
  • 5.2.6. By Industry Vertical (BFSI, Healthcare, Telecommunications &IT, Government & Public Sector, Manufacturing, Consumer Goods & Retail, Media & Entertainment, Others)
  • 5.2.7. By Region
  • 5.2.8. By Company (2025)
• 5.3. Market Map

6. North America Intelligent Process Automation (IPA) Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment
  • 6.2.3. By Application
  • 6.2.4. By Organization Size
  • 6.2.5. By Technology
  • 6.2.6. By Industry Vertical
  • 6.2.7. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Intelligent Process Automation (IPA) Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment
      • 6.3.1.2.3. By Application
      • 6.3.1.2.4. By Organization Size
      • 6.3.1.2.5. By Technology
      • 6.3.1.2.6. By Industry Vertical
  • 6.3.2. Canada Intelligent Process Automation (IPA) Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment
      • 6.3.2.2.3. By Application
      • 6.3.2.2.4. By Organization Size
      • 6.3.2.2.5. By Technology
      • 6.3.2.2.6. By Industry Vertical
  • 6.3.3. Mexico Intelligent Process Automation (IPA) Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment
      • 6.3.3.2.3. By Application
      • 6.3.3.2.4. By Organization Size
      • 6.3.3.2.5. By Technology
      • 6.3.3.2.6. By Industry Vertical

7. Europe Intelligent Process Automation (IPA) Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment
  • 7.2.3. By Application
  • 7.2.4. By Organization Size
  • 7.2.5. By Technology
  • 7.2.6. By Industry Vertical
  • 7.2.7. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Intelligent Process Automation (IPA) Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment
      • 7.3.1.2.3. By Application
      • 7.3.1.2.4. By Organization Size
      • 7.3.1.2.5. By Technology
      • 7.3.1.2.6. By Industry Vertical
  • 7.3.2. France Intelligent Process Automation (IPA) Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment
      • 7.3.2.2.3. By Application
      • 7.3.2.2.4. By Organization Size
      • 7.3.2.2.5. By Technology
      • 7.3.2.2.6. By Industry Vertical
  • 7.3.3. United Kingdom Intelligent Process Automation (IPA) Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment
      • 7.3.3.2.3. By Application
      • 7.3.3.2.4. By Organization Size
      • 7.3.3.2.5. By Technology
      • 7.3.3.2.6. By Industry Vertical
  • 7.3.4. Italy Intelligent Process Automation (IPA) Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment
      • 7.3.4.2.3. By Application
      • 7.3.4.2.4. By Organization Size
      • 7.3.4.2.5. By Technology
      • 7.3.4.2.6. By Industry Vertical
  • 7.3.5. Spain Intelligent Process Automation (IPA) Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment
      • 7.3.5.2.3. By Application
      • 7.3.5.2.4. By Organization Size
      • 7.3.5.2.5. By Technology
      • 7.3.5.2.6. By Industry Vertical

8. Asia Pacific Intelligent Process Automation (IPA) Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment
  • 8.2.3. By Application
  • 8.2.4. By Organization Size
  • 8.2.5. By Technology
  • 8.2.6. By Industry Vertical
  • 8.2.7. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Intelligent Process Automation (IPA) Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment
      • 8.3.1.2.3. By Application
      • 8.3.1.2.4. By Organization Size
      • 8.3.1.2.5. By Technology
      • 8.3.1.2.6. By Industry Vertical
  • 8.3.2. India Intelligent Process Automation (IPA) Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment
      • 8.3.2.2.3. By Application
      • 8.3.2.2.4. By Organization Size
      • 8.3.2.2.5. By Technology
      • 8.3.2.2.6. By Industry Vertical
  • 8.3.3. Japan Intelligent Process Automation (IPA) Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment
      • 8.3.3.2.3. By Application
      • 8.3.3.2.4. By Organization Size
      • 8.3.3.2.5. By Technology
      • 8.3.3.2.6. By Industry Vertical
  • 8.3.4. South Korea Intelligent Process Automation (IPA) Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment
      • 8.3.4.2.3. By Application
      • 8.3.4.2.4. By Organization Size
      • 8.3.4.2.5. By Technology
      • 8.3.4.2.6. By Industry Vertical
  • 8.3.5. Australia Intelligent Process Automation (IPA) Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment
      • 8.3.5.2.3. By Application
      • 8.3.5.2.4. By Organization Size
      • 8.3.5.2.5. By Technology
      • 8.3.5.2.6. By Industry Vertical

9. Middle East & Africa Intelligent Process Automation (IPA) Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment
  • 9.2.3. By Application
  • 9.2.4. By Organization Size
  • 9.2.5. By Technology
  • 9.2.6. By Industry Vertical
  • 9.2.7. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Intelligent Process Automation (IPA) Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment
      • 9.3.1.2.3. By Application
      • 9.3.1.2.4. By Organization Size
      • 9.3.1.2.5. By Technology
      • 9.3.1.2.6. By Industry Vertical
  • 9.3.2. UAE Intelligent Process Automation (IPA) Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment
      • 9.3.2.2.3. By Application
      • 9.3.2.2.4. By Organization Size
      • 9.3.2.2.5. By Technology
      • 9.3.2.2.6. By Industry Vertical
  • 9.3.3. South Africa Intelligent Process Automation (IPA) Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment
      • 9.3.3.2.3. By Application
      • 9.3.3.2.4. By Organization Size
      • 9.3.3.2.5. By Technology
      • 9.3.3.2.6. By Industry Vertical

10. South America Intelligent Process Automation (IPA) Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment
  • 10.2.3. By Application
  • 10.2.4. By Organization Size
  • 10.2.5. By Technology
  • 10.2.6. By Industry Vertical
  • 10.2.7. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Intelligent Process Automation (IPA) Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment
      • 10.3.1.2.3. By Application
      • 10.3.1.2.4. By Organization Size
      • 10.3.1.2.5. By Technology
      • 10.3.1.2.6. By Industry Vertical
  • 10.3.2. Colombia Intelligent Process Automation (IPA) Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment
      • 10.3.2.2.3. By Application
      • 10.3.2.2.4. By Organization Size
      • 10.3.2.2.5. By Technology
      • 10.3.2.2.6. By Industry Vertical
  • 10.3.3. Argentina Intelligent Process Automation (IPA) Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment
      • 10.3.3.2.3. By Application
      • 10.3.3.2.4. By Organization Size
      • 10.3.3.2.5. By Technology
      • 10.3.3.2.6. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Intelligent Process Automation (IPA) Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Accelirate, Inc.
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Blue Prism Group PLC
• 15.3. Dell EMC Corp.
• 15.4. International Business Machines Corporation
• 15.5. WorkFusion
• 15.6. UiPath, Inc.
• 15.7. Kofax Inc.
• 15.8. Pegasystems Inc.
• 15.9. Salesforce.com Inc.
• 15.10. SAP SE

16. Strategic Recommendations

17. About Us & Disclaimer