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市场调查报告书
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1636679

认知过程自动化市场预测至 2030 年：按组件、部署模式、工作流程、技术、应用、最终用户和地区进行的全球分析

Cognitive Process Automation Market Forecasts to 2030 - Global Analysis By Component (Solutions and Services), Deployment Mode, Workflow, Technology, 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 的数据，全球认知过程自动化市场预计在 2024 年将达到 161 亿美元，到 2030 年将达到 357 亿美元，预测期内的复合年增长率为 14.2%。

认知过程自动化 (CPA) 利用人工智慧 (AI)、机器学习 (ML) 和自然语言处理 (NLP) 等先进技术来自动执行需要类似人类的认知能力的任务。与传统自动化不同，CPA 可以处理决策、资料分析和语言理解等复杂过程。 CPA 使系统能够从资料中学习，适应不断变化的条件，并随着时间的推移而改进，从而减少了对人工干预的需求。註册会计师透过简化业务、提高准确性以及在金融、医疗保健和客户服务等行业做出更快、更明智的决策来提高业务效率。

分析显示，2030年，美国使用高阶技术技能的时间将增加50%，欧洲将增加41%。预计对高阶 IT 和程式设计技能的需求将出现最大增长，2016 年至 2030 年间增幅可能高达 90%。

提高效率和生产力

由于先进的人工智慧和机器学习技术，市场效率和生产力正在提高。这些技术创新使需要类似人类决策的复杂任务能够实现自动化，从而减少人工干预和错误。企业现在可以简化业务、加速决策并增强客户体验。因此，公司实现了显着的成本节约、更快的回应时间和更高的扩充性，从而得以发展并在市场上竞争。

资料品质和可用性

资料品质差和可用性有限严重损害了认知过程自动化系统的有效性。不准确或不完整的资料会资料错误的决策并使自动化流程不可靠。此外，无法取得即时或全面的资料可能会阻止您的 CPA 系统优化您的工作流程并实现预期的结果。其结果是效率低下、生产力下降和潜在的业务中断，最终限制了自动化技术的全部潜力。

提高准确性和一致性

市场精度和一致性的提高正在推动自动化技术的重大进步。透过整合人工智慧和机器学习，CPA 系统可以增强决策能力、减少错误并提供更可靠的结果。这将优化资料输入、分析和客户服务等流程，推动整个产业的精简业务。随着这些系统的发展，它们准确、一致地处理复杂任务的能力将继续推动效率和创新，并改变业务的运作方式。

安全和隐私问题

市场上的安全和隐私问题为企业带来了重大风险。由于 CPA 系统处理敏感资料，资料保护中的漏洞可能会导致违规并暴露机密资讯。这些风险可能损害公司的声誉、使其面临法律处罚并扰乱业务。此外，对 GDPR 等法规合规性的担忧可能会减缓或限制 CPA 的采用，从而阻碍其提高效率和创新的潜力。

COVID-19 的影响：

随着企业寻求在中断期间确保连续性和效率的方法，COVID-19 疫情加速了市场采用。远距工作、供应链挑战和劳动力短缺凸显了自动化的必要性。 CPA 技术有助于简化业务、减少人为错误并保持生产力。但快速的转变也暴露了资料管理和安全的差距，促使企业进一步投资强大的自动化解决方案，以确保长期的弹性。

预测期内，人工智慧 (AI) 将成为最大的细分市场

预计预测期内人工智慧（AI）领域将占据最大的市场占有率。人工智慧使系统能够从资料中学习，适应新模式，做出智慧决策，并提高准确性和效率。透过机器学习、自然语言处理和电脑视觉，人工智慧可以自动执行复杂任务、减少人为错误并优化业务流程。此次整合将加速数位转型，推动整个产业创新，并使 CPA 更有效率、更具可扩展性。

预计预测期内资料管理部分将以最高的复合年增长率成长。

预计资料管理部分在预测期内将呈现最高的复合年增长率。有效的资料管理可以与 CPA 技术无缝集成，确保流程顺利执行和明智的决策。透过组织、清理和建立资料，公司可以使自动化流程更加可靠、减少错误并提高整体效率——最终推动整个倡议CPA 计划的成功。

比最大的地区

由于技术进步和对数位转型的高度重视，预计北美地区将在预测期内占据最大的市场占有率。随着人工智慧、机器学习和自动化工具的广泛应用，金融、医疗保健和製造等行业越来越依赖註册会计师来简化业务、提高效率并降低成本。该地区强大的基础设施和创新生态系统进一步支持了市场扩张。

复合年增长率最高的地区：

由于人工智慧和机器学习的日益普及，预计亚太地区将在预测期内实现最高成长率。这些技术使企业能够实现决策自动化、提高准确性并加强流程控制。降低成本和提高业务效率的需求推动企业实现复杂任务的自动化。透过减少重复性任务中人工干预的需要，公司可以节省人事费用并专注于策略活动。

免费客製化服务：

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业进行基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球认知过程自动化市场（按组件划分）

  • 解决方案
    • 人工智慧平台
    • 机器人流程自动化 (RPA) 软体
    • 认知分析工具
    • 决策管理软体
    • 语音和文字分析解决方案
    • 机器学习 (ML) 解决方案
  • 服务
    • 咨询服务
    • 整合服务
    • 託管服务
    • 支援和维护服务
    • 培训与发展服务

6. 全球认知流程自动化市场（依部署模式）

  • 云端基础
  • 本地
  • 杂交种

7. 全球认知过程自动化市场（依工作流程）

  • 端到端流程
  • 任务式

8. 全球认知过程自动化市场（按技术）

  • 人工智慧（AI）
  • 机器人流程自动化 (RPA)
  • 机器学习 (ML)
  • 自然语言处理 (NLP)
  • 语音辨识
  • 其他技术

9. 全球认知过程自动化市场（按应用）

  • 合规与风险管理
  • 客户支援和聊天机器人
  • 资料管理
  • 流程优化
  • 其他用途

第 10 章。

  • 卫生保健
  • 零售
  • 通讯
  • 製造业
  • 政府
  • 其他最终用户

第 11 章。

  • 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
    • 其他欧洲国家
  • 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
    • 南美洲其他地区
  • 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 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • IBM
  • UiPath
  • Automation Anywhere
  • Blue Prism
  • Microsoft
  • Google Cloud
  • Amazon Web Services（AWS）
  • Accenture
  • Cognizant
  • Deloitte
  • Infosys
  • Wipro
  • Capgemini
  • HCL Technologies
  • Tata Consultancy Services（TCS）
Product Code: SMRC28320

According to Stratistics MRC, the Global Cognitive Process Automation Market is accounted for $16.1 billion in 2024 and is expected to reach $35.7 billion by 2030 growing at a CAGR of 14.2% during the forecast period. Cognitive Process Automation (CPA) involves leveraging advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to automate tasks that require human-like cognitive abilities. Unlike traditional automation, CPA can handle complex processes like decision-making, data analysis, and language comprehension. It enables systems to learn from data, adapt to changing conditions, and improve over time, reducing the need for manual intervention. CPA enhances business efficiency by streamlining operations, improving accuracy, and enabling faster, more informed decision-making across industries like finance, healthcare, and customer service.

According to analysis, time spent utilizing sophisticated technology skills will grow by 50% in the United States and 41% in Europe by 2030. It is anticipated the greatest increase in demand for sophisticated IT and programming abilities, which may increase by up to 90% between 2016 and 2030.

Market Dynamics:

Driver:

Increased efficiency and productivity

The market is witnessing increased efficiency and productivity through advanced AI and machine learning technologies. These innovations enable automation of complex tasks that require human-like decision-making, reducing manual intervention and errors. Businesses can now streamline operations, accelerate decision-making, and enhance customer experiences. As a result, companies are achieving significant cost savings, faster response times, and improved scalability, driving growth and competitiveness in the market.

Restraint:

Data quality and availability

Poor data quality and limited availability can significantly hinder the effectiveness of cognitive process automation systems. Inaccurate or incomplete data leads to erroneous decisions, diminishing the reliability of automated processes. Additionally, the inability to access real-time or comprehensive data can prevent CPA systems from optimizing workflows and achieving desired outcomes. This results in inefficiencies, reduced productivity, and potential business disruptions, ultimately limiting the full potential of automation technologies.

Opportunity:

Improved accuracy and consistency

Improved accuracy and consistency in the market are driving significant advancements in automation technologies. By integrating AI and machine learning, CPA systems enhance decision-making, minimize errors, and deliver more reliable outcomes. This fosters streamlined operations across industries, optimizing processes like data entry, analysis, and customer service. As these systems evolve, their ability to handle complex tasks with precision and consistency continues to transform business operations, driving efficiency and innovation.

Threat:

Security and privacy concerns

Security and privacy concerns in the market pose significant risks to businesses. As CPA systems process sensitive data, vulnerabilities in data protection can lead to breaches, exposing confidential information. These risks can damage a company's reputation, incur legal penalties, and disrupt operations. Additionally, concerns about compliance with regulations like GDPR may delay or limit the adoption of CPA, hindering its potential to improve efficiency and innovation.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of the market as businesses sought ways to ensure continuity and efficiency during disruptions. Remote work, supply chain challenges, and labor shortages highlighted the need for automation. CPA technologies helped streamline operations, reduce human error, and maintain productivity. However, the rapid shift also exposed gaps in data management and security, prompting organizations to invest further in robust automation solutions for long-term resilience.

The artificial intelligence (AI) segment is expected to be the largest during the forecast period

The artificial intelligence (AI) segment is anticipated to account for the largest market share during the projection period. AI enables systems to learn from data, adapt to new patterns, and make intelligent decisions, improving accuracy and efficiency. Through machine learning, natural language processing, and computer vision, AI automates complex tasks, reduces human error, and optimizes business processes. This integration accelerates digital transformation and drives innovation across industries, making CPA more effective and scalable.

The data management segment is expected to have the highest CAGR during the forecast period

The data management segment is expected to have the highest CAGR during the extrapolated period. Effective data management enables seamless integration with CPA technologies, ensuring smooth process execution and informed decision-making. By organizing, cleansing, and structuring data, businesses can enhance the reliability of automated processes, reduce errors, and improve overall efficiency, ultimately driving the success of CPA initiatives across industries.

Region with largest share:

North America region is anticipated to account for the largest market share during the forecast period driven by technological advancements and a strong focus on digital transformation. With a high adoption rate of AI, machine learning, and automation tools, businesses across industries such as finance, healthcare, and manufacturing are leveraging CPA to streamline operations, enhance efficiency, and reduce costs. The region's robust infrastructure and innovation ecosystems further fuel the expansion of the market.

Region with highest CAGR:

Asia Pacific is expected to register the highest growth rate over the forecast period driven by the increased adoption of AI and machine learning. These technologies allow businesses to automate decision-making, improve accuracy, and enhance process management. The need for cost-cutting and operational efficiency is pushing companies to automate complex tasks. it reduces the need for human intervention in repetitive tasks, allowing organizations to save on labour costs and focus on strategic activities.

Key players in the market

Some of the key players in Cognitive Process Automation market include IBM, UiPath, Automation Anywhere, Blue Prism, Microsoft, Google Cloud, Amazon Web Services (AWS), Accenture, Cognizant, Deloitte, Infosys, Wipro, Capgemini, HCL Technologies and Tata Consultancy Services (TCS).

Key Developments:

In August 2024, IBM launched Watson Orchestrate, a new cognitive automation tool designed to streamline workflow automation by integrating artificial intelligence with existing enterprise systems. This solution aims to enhance productivity by automating complex business processes and improving operational efficiency.

In July 2024, Blue Prism unveiled its new AI-powered digital workforce platform, which combines cognitive automation with advanced AI technologies. This platform is designed to automate complex tasks, improve decision-making processes, and enhance overall business agility for enterprises.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Workflow Covered:

  • End-to-End Process
  • Task-Based

Technologies Covered:

  • Artificial Intelligence (AI)
  • Robotic Process Automation (RPA)
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Speech Recognition
  • Other Technologies

Applications Covered:

  • Compliance and Risk Management
  • Customer Support and Chatbots
  • Data Management
  • Process Optimization
  • Other Applications

End Users Covered:

  • Healthcare
  • Retail
  • Telecommunications
  • Manufacturing
  • Government
  • 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 2022, 2023, 2024, 2026, and 2030
  • 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 Cognitive Process Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 AI-Powered Platforms
    • 5.2.2 Robotic Process Automation (RPA) Software
    • 5.2.3 Cognitive Analytics Tools
    • 5.2.4 Decision Management Software
    • 5.2.5 Speech and Text Analytics Solutions
    • 5.2.6 Machine Learning (ML) Solutions
  • 5.3 Services
    • 5.3.1 Consulting Services
    • 5.3.2 Integration Services
    • 5.3.3 Managed Services
    • 5.3.4 Support and Maintenance Services
    • 5.3.5 Training and Development Services

6 Global Cognitive Process Automation Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premises
  • 6.4 Hybrid

7 Global Cognitive Process Automation Market, By Workflow

  • 7.1 Introduction
  • 7.2 End-to-End Process
  • 7.3 Task-Based

8 Global Cognitive Process Automation Market, By Technology

  • 8.1 Introduction
  • 8.2 Artificial Intelligence (AI)
  • 8.3 Robotic Process Automation (RPA)
  • 8.4 Machine Learning (ML)
  • 8.5 Natural Language Processing (NLP)
  • 8.6 Speech Recognition
  • 8.7 Other Technologies

9 Global Cognitive Process Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Compliance and Risk Management
  • 9.3 Customer Support and Chatbots
  • 9.4 Data Management
  • 9.5 Process Optimization
  • 9.6 Other Applications

10 Global Cognitive Process Automation Market, By End User

  • 10.1 Introduction
  • 10.2 Healthcare
  • 10.3 Retail
  • 10.4 Telecommunications
  • 10.5 Manufacturing
  • 10.6 Government
  • 10.7 Other End Users

11 Global Cognitive 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 IBM
  • 13.2 UiPath
  • 13.3 Automation Anywhere
  • 13.4 Blue Prism
  • 13.5 Microsoft
  • 13.6 Google Cloud
  • 13.7 Amazon Web Services (AWS)
  • 13.8 Accenture
  • 13.9 Cognizant
  • 13.10 Deloitte
  • 13.11 Infosys
  • 13.12 Wipro
  • 13.13 Capgemini
  • 13.14 HCL Technologies
  • 13.15 Tata Consultancy Services (TCS)

List of Tables

  • Table 1 Global Cognitive Process Automation Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Cognitive Process Automation Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Cognitive Process Automation Market Outlook, By Solutions (2022-2030) ($MN)
  • Table 4 Global Cognitive Process Automation Market Outlook, By AI-Powered Platforms (2022-2030) ($MN)
  • Table 5 Global Cognitive Process Automation Market Outlook, By Robotic Process Automation (RPA) Software (2022-2030) ($MN)
  • Table 6 Global Cognitive Process Automation Market Outlook, By Cognitive Analytics Tools (2022-2030) ($MN)
  • Table 7 Global Cognitive Process Automation Market Outlook, By Decision Management Software (2022-2030) ($MN)
  • Table 8 Global Cognitive Process Automation Market Outlook, By Speech and Text Analytics Solutions (2022-2030) ($MN)
  • Table 9 Global Cognitive Process Automation Market Outlook, By Machine Learning (ML) Solutions (2022-2030) ($MN)
  • Table 10 Global Cognitive Process Automation Market Outlook, By Services (2022-2030) ($MN)
  • Table 11 Global Cognitive Process Automation Market Outlook, By Consulting Services (2022-2030) ($MN)
  • Table 12 Global Cognitive Process Automation Market Outlook, By Integration Services (2022-2030) ($MN)
  • Table 13 Global Cognitive Process Automation Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 14 Global Cognitive Process Automation Market Outlook, By Support and Maintenance Services (2022-2030) ($MN)
  • Table 15 Global Cognitive Process Automation Market Outlook, By Training and Development Services (2022-2030) ($MN)
  • Table 16 Global Cognitive Process Automation Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 17 Global Cognitive Process Automation Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 18 Global Cognitive Process Automation Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 19 Global Cognitive Process Automation Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 20 Global Cognitive Process Automation Market Outlook, By Workflow (2022-2030) ($MN)
  • Table 21 Global Cognitive Process Automation Market Outlook, By End-to-End Process (2022-2030) ($MN)
  • Table 22 Global Cognitive Process Automation Market Outlook, By Task-Based (2022-2030) ($MN)
  • Table 23 Global Cognitive Process Automation Market Outlook, By Technology (2022-2030) ($MN)
  • Table 24 Global Cognitive Process Automation Market Outlook, By Artificial Intelligence (AI) (2022-2030) ($MN)
  • Table 25 Global Cognitive Process Automation Market Outlook, By Robotic Process Automation (RPA) (2022-2030) ($MN)
  • Table 26 Global Cognitive Process Automation Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
  • Table 27 Global Cognitive Process Automation Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
  • Table 28 Global Cognitive Process Automation Market Outlook, By Speech Recognition (2022-2030) ($MN)
  • Table 29 Global Cognitive Process Automation Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 30 Global Cognitive Process Automation Market Outlook, By Application (2022-2030) ($MN)
  • Table 31 Global Cognitive Process Automation Market Outlook, By Compliance and Risk Management (2022-2030) ($MN)
  • Table 32 Global Cognitive Process Automation Market Outlook, By Customer Support and Chatbots (2022-2030) ($MN)
  • Table 33 Global Cognitive Process Automation Market Outlook, By Data Management (2022-2030) ($MN)
  • Table 34 Global Cognitive Process Automation Market Outlook, By Process Optimization (2022-2030) ($MN)
  • Table 35 Global Cognitive Process Automation Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 36 Global Cognitive Process Automation Market Outlook, By End User (2022-2030) ($MN)
  • Table 37 Global Cognitive Process Automation Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 38 Global Cognitive Process Automation Market Outlook, By Retail (2022-2030) ($MN)
  • Table 39 Global Cognitive Process Automation Market Outlook, By Telecommunications (2022-2030) ($MN)
  • Table 40 Global Cognitive Process Automation Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 41 Global Cognitive Process Automation Market Outlook, By Government (2022-2030) ($MN)
  • Table 42 Global Cognitive Process Automation Market Outlook, By Other End Users (2022-2030) ($MN)

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