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2069193

認知工作流程自動化市場預測至2034年：按組件、部署模式、技術、應用、最終用戶和地區分類的全球分析

Cognitive Workflow Automation Market Forecasts to 2034 - Global Analysis By Component, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球認知工作流程自動化市場規模將達到 42 億美元，並在預測期內以 12.1% 的複合年成長率成長，到 2034 年將達到 105 億美元。

認知工作流程自動化是指結合機器人流程自動化 (RPA) 和人工智慧 (AI) 的智慧系統，用於執行需要情境理解和自適應決策的複雜業務流程。這些平台利用自然語言處理、電腦視覺和機器學習技術來解讀非結構化資料、對文件進行分類，並提取流程執行所需的必要資訊。這項技術能夠實現以往需要人工判斷的工作流程的端到端自動化，例如保險理賠處理、客戶服務和合規性檢驗。認知工作流程系統能夠從執行模式中學習，從而最佳化路由、識別異常情況並提案流程改善建議。它們還可以透過 API 與企業應用程式整合，以協調跨部門的多階段流程。

最佳化人事費用

在保證服務品質的前提下降低營運成本的需求，正推動著對認知工作流程自動化的顯著需求。企業正面臨著不斷上漲的人事費用和後勤部門營運人才短缺的雙重挑戰。認知自動化能夠處理傳統基於規則的自動化無法應對的複雜決策任務。這項技術能夠實現全天候不間斷運行，擺脫了人工輪班的限制。此外，認知系統還能處理超越簡單資料輸入的高價值工作流程，進而提升投資報酬率 (ROI)。這些經濟效益正推動企業對智慧自動化平台的投資。

流程複雜性

企業業務流程固有的複雜性為認知自動化的實施帶來了巨大挑戰。工作流程中包含大量異常情況、邊緣案例和上下文差異，這些都難以透過標準化自動化來處理。舊有系統缺乏API，需要進行螢幕擷取或自訂整合。組織變革管理的要求會延長實施週期並增加成本。流程文件通常不完整或過時，這會使自動化設計更加複雜。這些因素限制了能夠完全自動化的流程比例，因此需要持續的人工監督。

超自動化融合

將認知工作流程自動化與流程挖掘、低程式碼開發和人工智慧分析相結合，為創新市場拓展創造了機會。超自動化平台透過整合工具鏈，實現流程的發現、設計、執行和最佳化。企業可以透過流程挖掘識別需要自動化的流程，並透過低程式碼介面快速部署認知解決方案。人工智慧驅動的分析持續監控自動化效能，並識別改善機會。這種整合方法縮短了價值實現時間，並擴大了自動化範圍。這些功能鞏固了認知工作流程作為企業數位轉型核心要素的地位。

經濟不確定性

宏觀經濟波動和預算限制威脅認知工作流程自動化的投資週期。景氣衰退往往會導致企業延遲非必要的科技投資，並延長現有系統的生命週期。大規模自動化專案需要大量的前期投資，並且需要數年時間才能收回成本。在財政壓力時期，有限的IT預算競爭會更加激烈。裁員措施可能會暫時降低自動化的緊迫性。這些週期性壓力會導致自動化供應商的收入波動，並延長銷售週期。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了認知自動化技術的應用，因為各組織都在努力在遠距辦公和人員縮減的情況下維持營運。由於無法處理紙本文件，後勤部門營運流程亟需自動化。客戶服務諮詢量激增，負責人可用時間卻減少，這促使聊天機器人和虛擬助理的使用量激增。疫情後，混合辦公室模式持續推動了對認知自動化技術的需求，以連結分散的團隊。此次危機凸顯了智慧工作流程平台在提升營運韌性方面的價值。

在預測期內，認知型 RPA 平台細分市場預計將佔據最大的市場佔有率。

預計在預測期內，認知型RPA平台將佔據最大的市場佔有率，這主要得益於企業整體職能部門對智慧流程執行的根本需求。這些平台將機器人自動化與人工智慧功能相結合，用於文件理解、決策支援和異常處理。在金融服務業，認知型RPA正被應用於貸款處理和合規性檢驗。醫療機構則利用這項技術進行保險理賠處理和病患登記。該細分市場滿足了對效率和準確性的雙重需求。

預計在預測期內，SaaS 採用細分市場將呈現最高的複合年成長率。

在預測期內，SaaS（軟體即服務）採用領域預計將呈現最高的成長率，這主要得益於企業對訂閱式存取和快速部署的偏好。 SaaS模式無需基礎設施投資，並縮短了自動化舉措實現價值的時間。中小企業也能獲得以往只有大型企業才能享有的認知能力。雲端原生架構實現了彈性擴展和持續的功能更新。該領域降低了准入門檻，並加速了市場擴張。

市佔率最大的地區：

在預測期內，由於企業數位化程度不斷提高以及對自動化領域的大量投資，北美預計將佔據最大的市場佔有率。美國在該領域處於領先地位，領先的科技公司正在開發認知工作流程平台，企業軟體也得到了廣泛應用。高昂的人事費用是推動自動化經濟效益的主要因素。金融服務和醫療保健產業的需求尤其顯著。創業投資正在支持自動化新創企業的創新。有關營運效率和合規性的監管要求正在創造結構性需求。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於製造業和服務業的快速數字化轉型和人事費用趨勢。中國和印度是關鍵的成長市場，其成長動力來自共享服務和業務流程外包的擴張。該地區的製造業正在推動對智慧品管和供應鏈自動化的需求。政府推動工業4.0和數位經濟的措施正在創造有利的政策環境。企業軟體的日益普及正在擴大自動化市場的潛在規模。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性評估）。
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球認知工作流程自動化市場：依組件分類

  • 智慧流程發現工具
  • 認知型RPA平台
  • 決策管理系統
  • 自然語言對話模組
  • 用於文件自動化的電腦視覺
  • 流程協作引擎
  • 諮詢和顧問服務

第6章 全球認知工作流程自動化市場：依部署模式分類

  • 基於雲端的實施
  • 本地部署
  • 混合實現
  • SaaS部署模型

第7章 全球認知工作流程自動化市場：依技術分類

  • 人工智慧驅動的機器人流程自動化（RPA）
  • 自然語言處理
  • 電腦視覺
  • 機器學習和預測分析
  • 智慧型文檔處理
  • 對話式人工智慧
  • 流程挖掘

第8章 全球認知工作流程自動化市場：依應用分類

  • 客戶服務自動化
  • 財務和會計自動化
  • 人力資源自動化
  • IT維運自動化
  • 保險理賠和承保審核流程
  • 供應鏈工作流程自動化
  • 合規與稽核自動化

第9章 全球認知工作流程自動化市場：依最終使用者分類

  • BFSI
  • 醫療保健和生命科學
  • 零售與電子商務
  • 電訊
  • 製造業
  • 政府/公共部門
  • 能源公用事業

第10章 全球認知工作流程自動化市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • UiPath Inc.
  • Automation Anywhere, Inc.
  • Blue Prism Limited
  • Microsoft Corporation
  • IBM Corporation
  • SAP SE
  • ServiceNow, Inc.
  • Pegasystems Inc.
  • Appian Corporation
  • WorkFusion, Inc.
  • Kofax Inc.
  • NICE Ltd.
  • Salesforce, Inc.
  • Oracle Corporation
  • Google LLC
  • ABBYY
Product Code: SMRC37210

According to Stratistics MRC, the Global Cognitive Workflow Automation Market is accounted for $4.2 billion in 2026 and is expected to reach $10.5 billion by 2034 growing at a CAGR of 12.1% during the forecast period. Cognitive workflow automation refers to intelligent systems that combine robotic process automation with artificial intelligence to execute complex business processes requiring contextual understanding and adaptive decision-making. These platforms employ natural language processing, computer vision, and machine learning to interpret unstructured inputs, classify documents, and extract relevant information for process execution. The technology enables end-to-end automation of workflows that previously required human judgment, such as claims processing, customer service, and compliance verification. Cognitive workflow systems learn from execution patterns to optimize routing, identify exceptions, and recommend process improvements. They integrate with enterprise applications through APIs and orchestrate multi-step processes across departmental boundaries.

Market Dynamics:

Driver:

Labor cost optimization

The imperative to reduce operational costs while maintaining service quality is driving substantial demand for cognitive workflow automation. Organizations face rising labor costs and talent shortages in back-office functions. Cognitive automation handles complex, judgment-intensive tasks that traditional rule-based automation cannot address. The technology enables twenty-four-hour processing without human shift constraints. Return on investment metrics improve as cognitive systems handle higher-value workflows beyond simple data entry. These economic advantages sustain enterprise investment in intelligent automation platforms.

Restraint:

Process complexity

The inherent complexity of enterprise business processes presents significant challenges for cognitive automation deployment. Workflows involve numerous exceptions, edge cases, and contextual variations that resist standardized automation. Legacy systems lack APIs and require screen-scraping or custom integration. Organizational change management requirements extend implementation timelines and increase costs. Process documentation is often incomplete or outdated, complicating automation design. These factors limit the percentage of processes that can be fully automated and require ongoing human oversight.

Opportunity:

Hyperautomation convergence

The convergence of cognitive workflow automation with process mining, low-code development, and AI analytics creates transformative market expansion opportunities. Hyperautomation platforms discover, design, execute, and optimize processes through integrated toolchains. Organizations can identify automation candidates through process mining and rapidly deploy cognitive solutions through low-code interfaces. AI-powered analytics continuously monitor automation performance and identify improvement opportunities. The integrated approach reduces time-to-value and expands automation scope. These capabilities position cognitive workflow as a central component of enterprise digital transformation.

Threat:

Economic uncertainty

Macroeconomic volatility and budget constraints threaten cognitive workflow automation investment cycles. Economic downturns prompt enterprises to defer discretionary technology spending and extend existing system lifecycles. Large-scale automation projects require substantial upfront investment with multi-year payback periods. Competition for limited IT budgets intensifies during periods of financial stress. Workforce reduction initiatives may temporarily reduce the perceived urgency of automation. These cyclical pressures create revenue volatility for automation vendors and extend sales cycles.

Covid-19 Impact:

The COVID-19 pandemic accelerated cognitive automation adoption as organizations sought to maintain operations with remote and reduced workforces. Back-office functions required automated processing when physical document handling became impossible. Customer service volumes increased while agent availability decreased, driving chatbot and virtual assistant deployment. Post-pandemic, hybrid work models sustain demand for cognitive automation that bridges distributed teams. The crisis demonstrated the operational resilience value of intelligent workflow platforms.

The cognitive RPA platforms segment is expected to be the largest during the forecast period

The cognitive RPA platforms segment is expected to account for the largest market share during the forecast period, due to foundational demand for intelligent process execution across enterprise functions. These platforms combine robotic automation with AI capabilities for document understanding, decision support, and exception handling. Financial services deploy cognitive RPA for loan processing and compliance verification. Healthcare organizations leverage the technology for claims processing and patient intake. The segment addresses both efficiency and accuracy requirements.

The SaaS deployment segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the SaaS deployment segment is predicted to witness the highest growth rate, driven by enterprise preferences for subscription-based access and rapid deployment. SaaS models eliminate infrastructure investment and reduce time-to-value for automation initiatives. Small and medium enterprises access cognitive capabilities previously available only to large organizations. Cloud-native architectures enable elastic scaling and continuous feature updates. The segment lowers barriers to entry and accelerates market expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced enterprise digitalization and substantial automation investment. The United States leads with major technology companies developing cognitive workflow platforms and extensive enterprise software adoption. Strong labor costs drive automation economics. Financial services and healthcare sectors generate significant demand. Venture capital funding supports automation startup innovation. Regulatory requirements for operational efficiency and compliance create structured demand.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid digital transformation and labor cost dynamics in manufacturing and services. China and India represent major growth markets with expanding shared services and business process outsourcing. The region's manufacturing sector drives demand for intelligent quality control and supply chain automation. Government initiatives promoting Industry 4.0 and the digital economy create favorable policy environments. Growing enterprise software adoption expands the automation addressable market.

Key players in the market

Some of the key players in Cognitive Workflow Automation Market include UiPath Inc., Automation Anywhere, Inc., Blue Prism Limited, Microsoft Corporation, IBM Corporation, SAP SE, ServiceNow, Inc., Pegasystems Inc., Appian Corporation, WorkFusion, Inc., Kofax Inc., NICE Ltd., Salesforce, Inc., Oracle Corporation, Google LLC and ABBYY.

Key Developments:

In May 2026, UiPath Inc. launched an enhanced cognitive automation platform with integrated process mining and AI-driven document understanding for end-to-end enterprise workflow automation.

In April 2026, Microsoft Corporation expanded its Power Automate platform with advanced natural language interaction modules enabling conversational workflow creation and management.

In March 2026, ServiceNow, Inc. introduced an intelligent process orchestration engine with embedded decision management for automated exception handling across enterprise service workflows.

Components Covered:

  • Intelligent Process Discovery Tools
  • Cognitive RPA Platforms
  • Decision Management Systems
  • Natural Language Interaction Modules
  • Computer Vision for Document Automation
  • Process Orchestration Engines
  • Consulting and Advisory Services

Deployment Modes Covered:

  • Cloud-Based Deployment
  • On-Premise Deployment
  • Hybrid Deployment
  • SaaS Deployment

Technologies Covered:

  • Robotic Process Automation with AI
  • Natural Language Processing
  • Computer Vision
  • Machine Learning and Predictive Analytics
  • Intelligent Document Processing
  • Conversational AI
  • Process Mining

Applications Covered:

  • Customer Service Automation
  • Finance and Accounting Automation
  • Human Resources Automation
  • IT Operations Automation
  • Claims and Underwriting Processing
  • Supply Chain Workflow Automation
  • Compliance and Audit Automation

End Users Covered:

  • BFSI
  • Healthcare and Life Sciences
  • Retail and E-commerce
  • Telecommunications
  • Manufacturing
  • Government and Public Sector
  • Energy and Utilities

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Cognitive Workflow Automation Market, By Component

  • 5.1 Intelligent Process Discovery Tools
  • 5.2 Cognitive RPA Platforms
  • 5.3 Decision Management Systems
  • 5.4 Natural Language Interaction Modules
  • 5.5 Computer Vision for Document Automation
  • 5.6 Process Orchestration Engines
  • 5.7 Consulting and Advisory Services

6 Global Cognitive Workflow Automation Market, By Deployment Mode

  • 6.1 Cloud-Based Deployment
  • 6.2 On-Premise Deployment
  • 6.3 Hybrid Deployment
  • 6.4 SaaS Deployment

7 Global Cognitive Workflow Automation Market, By Technology

  • 7.1 Robotic Process Automation with AI
  • 7.2 Natural Language Processing
  • 7.3 Computer Vision
  • 7.4 Machine Learning and Predictive Analytics
  • 7.5 Intelligent Document Processing
  • 7.6 Conversational AI
  • 7.7 Process Mining

8 Global Cognitive Workflow Automation Market, By Application

  • 8.1 Customer Service Automation
  • 8.2 Finance and Accounting Automation
  • 8.3 Human Resources Automation
  • 8.4 IT Operations Automation
  • 8.5 Claims and Underwriting Processing
  • 8.6 Supply Chain Workflow Automation
  • 8.7 Compliance and Audit Automation

9 Global Cognitive Workflow Automation Market, By End User

  • 9.1 BFSI
  • 9.2 Healthcare and Life Sciences
  • 9.3 Retail and E-commerce
  • 9.4 Telecommunications
  • 9.5 Manufacturing
  • 9.6 Government and Public Sector
  • 9.7 Energy and Utilities

10 Global Cognitive Workflow Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 UiPath Inc.
  • 13.2 Automation Anywhere, Inc.
  • 13.3 Blue Prism Limited
  • 13.4 Microsoft Corporation
  • 13.5 IBM Corporation
  • 13.6 SAP SE
  • 13.7 ServiceNow, Inc.
  • 13.8 Pegasystems Inc.
  • 13.9 Appian Corporation
  • 13.10 WorkFusion, Inc.
  • 13.11 Kofax Inc.
  • 13.12 NICE Ltd.
  • 13.13 Salesforce, Inc.
  • 13.14 Oracle Corporation
  • 13.15 Google LLC
  • 13.16 ABBYY

List of Tables

  • Table 1 Global Cognitive Workflow Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Cognitive Workflow Automation Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Cognitive Workflow Automation Market Outlook, By Intelligent Process Discovery Tools (2023-2034) ($MN)
  • Table 4 Global Cognitive Workflow Automation Market Outlook, By Cognitive RPA Platforms (2023-2034) ($MN)
  • Table 5 Global Cognitive Workflow Automation Market Outlook, By Decision Management Systems (2023-2034) ($MN)
  • Table 6 Global Cognitive Workflow Automation Market Outlook, By Natural Language Interaction Modules (2023-2034) ($MN)
  • Table 7 Global Cognitive Workflow Automation Market Outlook, By Computer Vision for Document Automation (2023-2034) ($MN)
  • Table 8 Global Cognitive Workflow Automation Market Outlook, By Process Orchestration Engines (2023-2034) ($MN)
  • Table 9 Global Cognitive Workflow Automation Market Outlook, By Consulting and Advisory Services (2023-2034) ($MN)
  • Table 10 Global Cognitive Workflow Automation Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 11 Global Cognitive Workflow Automation Market Outlook, By Cloud-Based Deployment (2023-2034) ($MN)
  • Table 12 Global Cognitive Workflow Automation Market Outlook, By On-Premise Deployment (2023-2034) ($MN)
  • Table 13 Global Cognitive Workflow Automation Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 14 Global Cognitive Workflow Automation Market Outlook, By SaaS Deployment (2023-2034) ($MN)
  • Table 15 Global Cognitive Workflow Automation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global Cognitive Workflow Automation Market Outlook, By Robotic Process Automation with AI (2023-2034) ($MN)
  • Table 17 Global Cognitive Workflow Automation Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 18 Global Cognitive Workflow Automation Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 19 Global Cognitive Workflow Automation Market Outlook, By Machine Learning and Predictive Analytics (2023-2034) ($MN)
  • Table 20 Global Cognitive Workflow Automation Market Outlook, By Intelligent Document Processing (2023-2034) ($MN)
  • Table 21 Global Cognitive Workflow Automation Market Outlook, By Conversational AI (2023-2034) ($MN)
  • Table 22 Global Cognitive Workflow Automation Market Outlook, By Process Mining (2023-2034) ($MN)
  • Table 23 Global Cognitive Workflow Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 24 Global Cognitive Workflow Automation Market Outlook, By Customer Service Automation (2023-2034) ($MN)
  • Table 25 Global Cognitive Workflow Automation Market Outlook, By Finance and Accounting Automation (2023-2034) ($MN)
  • Table 26 Global Cognitive Workflow Automation Market Outlook, By Human Resources Automation (2023-2034) ($MN)
  • Table 27 Global Cognitive Workflow Automation Market Outlook, By IT Operations Automation (2023-2034) ($MN)
  • Table 28 Global Cognitive Workflow Automation Market Outlook, By Claims and Underwriting Processing (2023-2034) ($MN)
  • Table 29 Global Cognitive Workflow Automation Market Outlook, By Supply Chain Workflow Automation (2023-2034) ($MN)
  • Table 30 Global Cognitive Workflow Automation Market Outlook, By Compliance and Audit Automation (2023-2034) ($MN)
  • Table 31 Global Cognitive Workflow Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global Cognitive Workflow Automation Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 33 Global Cognitive Workflow Automation Market Outlook, By Healthcare and Life Sciences (2023-2034) ($MN)
  • Table 34 Global Cognitive Workflow Automation Market Outlook, By Retail and E-commerce (2023-2034) ($MN)
  • Table 35 Global Cognitive Workflow Automation Market Outlook, By Telecommunications (2023-2034) ($MN)
  • Table 36 Global Cognitive Workflow Automation Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 37 Global Cognitive Workflow Automation Market Outlook, By Government and Public Sector (2023-2034) ($MN)
  • Table 38 Global Cognitive Workflow Automation Market Outlook, By Energy and Utilities (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.