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1636679

認知過程自動化市場預測至 2030 年：按組件、部署模式、工作流程、技術、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球認知過程自動化市場預計在 2024 年將達到 161 億美元，到 2030 年將達到 357 億美元，預測期內的複合年成長率為 14.2%。

認知過程自動化 (CPA) 利用人工智慧 (AI)、機器學習 (ML) 和自然語言處理 (NLP) 等先進技術來自動執行需要類似人類的認知能力的任務。與傳統自動化不同，CPA 可以處理決策、資料分析和語言理解等複雜過程。 CPA 使系統能夠從資料中學習，適應不斷變化的條件，並隨著時間的推移而改進，從而減少了對人工干預的需求。註冊會計師透過簡化業務、提高準確性以及在金融、醫療保健和客戶服務等行業做出更快、更明智的決策來提高業務效率。

分析顯示，2030年，美國使用高階技術技能的時間將增加50%，歐洲將增加41%。預計對高階 IT 和程式設計技能的需求將出現最大成長，2016 年至 2030 年間增幅可能高達 90%。

提高效率和生產力

由於先進的人工智慧和機器學習技術，市場效率和生產力正在提高。這些技術創新使需要類似人類決策的複雜任務能夠實現自動化，從而減少人工干預和錯誤。企業現在可以簡化業務、加速決策並增強客戶體驗。因此，公司實現了顯著的成本節約、更快的回應時間和更高的擴充性，從而得以發展並在市場上競爭。

資料品質和可用性

資料品質差和可用性有限嚴重損害了認知過程自動化系統的有效性。不準確或不完整的資料會資料錯誤的決策並使自動化流程不可靠。此外，無法取得即時或全面的資料可能會阻止您的 CPA 系統最佳化您的工作流程並實現預期的結果。其結果是效率低下、生產力下降和潛在的業務中斷，最終限制了自動化技術的全部潛力。

提高準確性和一致性

市場精度和一致性的提高正在推動自動化技術的重大進步。透過整合人工智慧和機器學習，CPA 系統可以增強決策能力、減少錯誤並提供更可靠的結果。這將最佳化資料輸入、分析和客戶服務等流程，推動整個產業的精簡業務。隨著這些系統的發展，它們準確、一致地處理複雜任務的能力將繼續推動效率和創新，並改變業務的運作方式。

安全和隱私問題

市場上的安全和隱私問題為企業帶來了重大風險。由於 CPA 系統處理敏感資料，資料保護中的漏洞可能會導致違規並暴露機密資訊。這些風險可能損害公司的聲譽、使其面臨法律處罰並擾亂業務。此外，對 GDPR 等法規合規性的擔憂可能會減緩或限制 CPA 的採用，從而阻礙其提高效率和創新的潛力。

COVID-19 的影響：

隨著企業尋求在中斷期間確保連續性和效率的方法，COVID-19 疫情加速了市場採用。遠距工作、供應鏈挑戰和勞動力短缺凸顯了自動化的必要性。 CPA 技術有助於簡化業務、減少人為錯誤並保持生產力。但快速的轉變也暴露了資料管理和安全的差距，促使企業進一步投資強大的自動化解決方案，以確保長期的彈性。

預測期內，人工智慧 (AI) 將成為最大的細分市場

預計預測期內人工智慧（AI）領域將佔據最大的市場佔有率。人工智慧使系統能夠從資料中學習，適應新模式，做出智慧決策，並提高準確性和效率。透過機器學習、自然語言處理和電腦視覺，人工智慧可以自動執行複雜任務、減少人為錯誤並最佳化業務流程。此次整合將加速數位轉型，推動整個產業創新，並使 CPA 更有效率、更具可擴展性。

預計預測期內資料管理部分將以最高的複合年成長率成長。

預計資料管理部分在預測期內將呈現最高的複合年成長率。有效的資料管理可以與 CPA 技術無縫整合，確保流程順利執行和明智的決策。透過組織、清理和建立資料，公司可以使自動化流程更加可靠、減少錯誤並提高整體效率——最終推動整個舉措CPA 計劃的成功。

比最大的地區

由於技術進步和對數位轉型的高度重視，預計北美地區將在預測期內佔據最大的市場佔有率。隨著人工智慧、機器學習和自動化工具的廣泛應用，金融、醫療保健和製造等行業越來越依賴註冊會計師來簡化業務、提高效率並降低成本。該地區強大的基礎設施和創新生態系統進一步支持了市場擴張。

複合年成長率最高的地區：

由於人工智慧和機器學習的日益普及，預計亞太地區將在預測期內實現最高成長率。這些技術使企業能夠實現決策自動化、提高準確性並加強流程控制。降低成本和提高業務效率的需求推動企業實現複雜任務的自動化。透過減少重複性任務中人工干預的需要，公司可以節省人事費用並專注於策略活動。

免費客製化服務：

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業進行基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球認知過程自動化市場（按組件分類）

  • 解決方案
    • 人工智慧平台
    • 機器人流程自動化 (RPA) 軟體
    • 認知分析工具
    • 決策管理軟體
    • 語音和文字分析解決方案
    • 機器學習 (ML) 解決方案
  • 服務
    • 諮詢服務
    • 整合服務
    • 託管服務
    • 支援和維護服務
    • 培訓與發展服務

6. 全球認知流程自動化市場（依部署模式）

  • 雲端基礎
  • 本地
  • 混合

7. 全球認知過程自動化市場（依工作流程）

  • 端到端流程
  • 任務式

8. 全球認知過程自動化市場（按技術）

  • 人工智慧（AI）
  • 機器人流程自動化 (RPA)
  • 機器學習 (ML)
  • 自然語言處理 (NLP)
  • 語音辨識
  • 其他技術

9. 全球認知過程自動化市場（按應用）

  • 合規與風險管理
  • 客戶支援和聊天機器人
  • 資料管理
  • 流程最佳化
  • 其他用途

第 10 章。

  • 衛生保健
  • 零售
  • 通訊
  • 製造業
  • 政府
  • 其他最終用戶

第 11 章。

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.