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2021528

人工智慧驅動的企業自動化市場預測至2034年：按工具類型、組件、技術、應用、最終用戶和地區分類的全球分析

AI-Powered Enterprise Automation Market Forecasts to 2034 - Global Analysis By Tool Type, Component, 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，全球人工智慧驅動的企業自動化市場規模將達到 346 億美元，在預測期內以 8.4% 的複合年成長率成長，到 2034 年將達到 663 億美元。

人工智慧驅動的企業自動化是指全面部署人工智慧技術，例如大規模語言模型、機器學習、電腦視覺、流程挖掘和自主代理框架，並結合機器人流程自動化 (RPA)、工作流程編配、智慧文件處理和互動式人工智慧。這使得企業能夠在最大程度上實現從前台客戶服務、中台營運到後勤部門管理職能等所有業務營運領域的自動化，同時最大限度地減少人為干預。

人工智慧代理技術的成熟度

自主人工智慧代理技術的快速成熟，使其能夠在無需人工干預的情況下完成多階段的企業任務，大大拓展了企業流程自動化的範圍，使其不再局限於結構化的、基於規則的工作流程。如今，自動化範圍涵蓋了需要自適應決策、多源資訊整合以及跨系統操作的複雜、基於判斷的任務。試驗計畫已證實，每個部署的代理商所創造的生產力相當於十名以上全職員工的生產力，這正促使高階主管加快投資步伐。

企業人工智慧管治面臨的挑戰

企業人工智慧管治框架的不足引發了風險管理的擔憂，並延緩了人工智慧自動化部署的核准。這是因為企業缺乏針對人工智慧課責的問責制、自動化操作的審計追蹤、錯誤恢復程序以及上報人工監督的升級程序等既定政策——而這些對於在運作業務運營中負責任地部署影響客戶、金融交易和監管合規結果的自主人工智慧系統至關重要。

基於代理的自動化平台

企業人工智慧管治的缺陷引發了風險管理的擔憂，並延緩了人工智慧自動化部署的核准。這是因為企業缺乏針對人工智慧決策的問責制、自動化操作的審計追蹤、錯誤恢復程序以及上報人工監督的升級程序等課責——而這些對於在實際營運中負責任地部署自主人工智慧系統至關重要，因為這些系統會影響客戶體驗、財務交易和監管合規性。

人員和技能短缺

企業人工智慧自動化架構師、反應迅速的工程師和人工智慧管治專家嚴重短缺——這些人才對於設計、實施和維護先進的人工智慧驅動型自動化專案至關重要——導致實施能力受限，限制了企業自動化專案的規模和速度，儘管企業擁有強烈的投資意願。此外，合格人才的匱乏也導致專案工期延長，實施成本超出最初的商業案例預期。

新冠疫情的影響：

新冠疫情及其引發的業務中斷表明，與那些即使在人手不足的情況下也能保持數位化流程不間斷運作的自動化企業相比，依賴人工流程執行的企業面臨著災難性的業務永續營運風險。這為全面投資企業自動化提供了充分的商業理由。疫情後自動化投資的加速成長反映出經營團隊意識到，自動化不僅是降低成本的手段，更是確保策略業務永續營運的關鍵要素。

在預測期內，流程挖掘工具細分市場預計將佔據最大的市場佔有率。

在預測期內，流程挖掘工具細分市場預計將佔據最大的市場佔有率。這主要歸功於企業擴大採用流程挖掘作為人工智慧驅動的企業自動化程式的基礎智慧層。流程挖掘能夠基於客觀數據識別自動化機會，持續對已實施的自動化流程進行效能基準測試，並即時檢測需要介入的流程偏差。包括 Celonis 在內的領先流程挖掘供應商已創造了數十億美元的企業價值，這反映了該細分市場所受到的策略重視。

預計在預測期內，硬體領域將呈現最高的複合年成長率。

在預測期內，硬體領域預計將呈現最高的成長率。這主要得益於企業對人工智慧運算基礎設施的投資，以支援大規模自主人工智慧代理的部署。此類部署需要大量的GPU叢集容量，用於並行處理大規模語言模型推理、即時流程分析以及多個代理程式之間的協調。此外，專用的高效能人工智慧運算，而非共用的通用雲端基礎設施，對於處理企業海量交易至關重要。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國企業在人工智慧自動化應用方面的領先地位——財富500強企業擁有全球最高的自動化專案集中度；此外，微軟、IBM、ServiceNow、UiPath和Automation Anywhere等領先的人工智慧平台供應商，其全球人工智慧企業自動化收入的大部分都來自與北美現有企業客戶的合作關係。

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。這是因為印度技術服務公司加速採用人工智慧自動化技術，大規模部署自動化系統以提高為全球客戶提供服務效率；加之中國、日本、韓國和澳洲等國在銀行業、製造業和電子商務領域對人工智慧自動化技術的快速投資，共同推動了亞太地區市場在全球最快的擴張。

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
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰和機遇
  • 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
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧驅動的企業自動化市場：按工具類型分類

  • 企業級RPA平台
  • 智慧型文件處理工具
  • 工作流程和編配平台
  • 人工智慧聊天機器人和虛擬助手
  • 流程挖掘工具
  • 低程式碼/無程式碼平台
  • 整合和 API 自動化工具

第6章：全球人工智慧驅動的企業自動化市場：按組件分類

  • 硬體
  • 軟體平台
  • 服務

第7章：全球人工智慧驅動的企業自動化市場：依技術分類

  • 機器學習和人工智慧
  • 自然語言處理
  • 電腦視覺
  • 流程挖掘
  • 人工智慧世代

第8章：全球人工智慧驅動的企業自動化市場：按應用領域分類

  • 財務和會計自動化
  • 人力資源自動化
  • 客戶服務自動化
  • 供應鏈自動化
  • IT維運自動化
  • 銷售行銷自動化

第9章：全球人工智慧驅動的企業自動化市場：按最終用戶分類

  • BFSI
  • 衛生保健
  • 零售與電子商務
  • 製造業
  • 資訊科技/通訊

第10章：全球人工智慧驅動的企業自動化市場：按地區分類

  • 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

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • ServiceNow Inc.
  • UiPath Inc.
  • Automation Anywhere Inc.
  • Blue Prism Group plc
  • Appian Corporation
  • Pegasystems Inc.
  • NICE Ltd.
  • Kofax Inc.
  • Celonis SE
  • Tata Consultancy Services（TCS）
  • Infosys Limited
  • Wipro Limited
  • Accenture plc
Product Code: SMRC34868

According to Stratistics MRC, the Global AI-Powered Enterprise Automation Market is accounted for $34.6 billion in 2026 and is expected to reach $66.3 billion by 2034 growing at a CAGR of 8.4% during the forecast period. AI-powered enterprise automation refers to the comprehensive deployment of artificial intelligence technologies including large language models, machine learning, computer vision, process mining, and autonomous agent frameworks in combination with robotic process automation, workflow orchestration, intelligent document processing, and conversational AI to automate the full spectrum of enterprise business operations spanning front-office customer engagement, middle-office operational processing, and back-office administrative functions at enterprise scale with minimal human intervention.

Market Dynamics:

Driver:

AI Agent Technology Maturity

Rapid maturation of autonomous AI agent technology enabling multi-step enterprise task completion without human supervision is dramatically expanding the scope of automatable enterprise processes beyond structured rule-based workflows to include complex judgment-intensive tasks requiring adaptive decision-making, multi-source information synthesis, and cross-system action execution. Enterprise pilot programs demonstrating AI agent productivity equivalents exceeding ten full-time employees per deployed agent are generating accelerating investment commitments from C-suite sponsors.

Restraint:

Enterprise AI Governance Gaps

Enterprise AI governance framework inadequacy creates risk management concerns that slow AI automation deployment approvals as organizations lack established policies for AI decision accountability, automated action audit trails, error recovery procedures, and human oversight escalation protocols required to responsibly deploy autonomous AI systems in production business operations affecting customers, financial transactions, and regulatory compliance outcomes.

Opportunity:

Agentic Automation Platforms

Agentic AI automation platform development represents a transformative commercial opportunity as enterprises seek comprehensive AI operating systems enabling coordinated deployment of specialized AI agents handling finance, HR, procurement, customer service, and IT operations processes within unified governance frameworks that maintain centralized visibility and control over distributed autonomous AI activity across enterprise business functions.

Threat:

Talent and Skills Scarcity

Critical scarcity of enterprise AI automation architects, prompt engineers, and AI governance specialists required to design, implement, and maintain sophisticated AI-powered automation programs creates implementation capacity constraints that limit enterprise automation program scale and velocity despite strong organizational investment intent, with qualified resource shortages extending project timelines and increasing implementation costs beyond initial business case projections.

Covid-19 Impact:

COVID-19 created the foundational business case for comprehensive enterprise automation investment by demonstrating through pandemic-era operational disruptions that organizations dependent on manual human process execution faced catastrophic operational continuity risks compared to automation-enabled enterprises maintaining uninterrupted digital process execution during workforce unavailability. Post-pandemic automation investment acceleration reflects executive recognition of automation as a strategic operational resilience imperative rather than purely a cost reduction initiative.

The process mining tools segment is expected to be the largest during the forecast period

The process mining tools segment is expected to account for the largest market share during the forecast period, due to increasing enterprise adoption of process mining as the foundational intelligence layer for AI-powered enterprise automation programs providing objective data-driven identification of automation opportunities, continuous performance benchmarking of deployed automations, and real-time detection of process deviations requiring intervention. Leading process mining vendors including Celonis achieving multi-billion-dollar enterprise valuations reflect the strategic importance attributed to this segment.

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

Over the forecast period, the hardware segment is predicted to witness the highest growth rate, driven by enterprise AI computing infrastructure investment to support large-scale autonomous AI agent deployments requiring substantial GPU cluster capacity for concurrent large language model inference, real-time process analysis, and multi-agent coordination at enterprise transaction volumes that necessitate dedicated high-performance AI computing rather than shared general-purpose cloud infrastructure.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to United States enterprise leadership in AI automation adoption with the world's largest concentration of Fortune 500 enterprise automation programs, leading AI platform vendors including Microsoft, IBM, ServiceNow, UiPath, and Automation Anywhere generating the majority of global AI enterprise automation revenue from established North American enterprise customer relationships.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to accelerating enterprise AI automation adoption across Indian technology services firms deploying automation at scale for global client delivery efficiency, combined with rapid banking, manufacturing, and e-commerce sector AI automation investment across China, Japan, South Korea, and Australia generating the fastest regional market expansion globally.

Key players in the market

Some of the key players in AI-Powered Enterprise Automation Market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, ServiceNow Inc., UiPath Inc., Automation Anywhere Inc., Blue Prism Group plc, Appian Corporation, Pegasystems Inc., NICE Ltd., Kofax Inc., Celonis SE, Tata Consultancy Services (TCS), Infosys Limited, Wipro Limited, and Accenture plc.

Key Developments:

In March 2026, Celonis SE launched an AI-native enterprise automation intelligence platform integrating process mining, AI agent orchestration, and real-time execution monitoring for comprehensive enterprise-wide automation governance.

In February 2026, Automation Anywhere Inc. introduced Enterprise AI agents autonomously completing multi-step business processes across ERP, CRM, and custom enterprise applications without workflow scripting or explicit automation rule programming.

In January 2026, IBM Corporation expanded its watsonx automation platform with AI agent capabilities enabling enterprises to deploy autonomous AI workers performing complex operational tasks across finance, HR, and customer service functions.

Tool Types Covered:

  • Enterprise RPA Platforms
  • Intelligent Document Processing Tools
  • Workflow & Orchestration Platforms
  • AI Chatbots & Virtual Assistants
  • Process Mining Tools
  • Low-Code/No-Code Platforms
  • Integration & API Automation Tools

Components Covered:

  • Hardware
  • Software & Platforms
  • Services

Technologies Covered:

  • Machine Learning & AI
  • Natural Language Processing
  • Computer Vision
  • Process Mining
  • Generative AI

Applications Covered:

  • Finance & Accounting Automation
  • HR Automation
  • Customer Service Automation
  • Supply Chain Automation
  • IT Operations Automation
  • Sales & Marketing Automation

End Users Covered:

  • BFSI
  • Healthcare
  • Retail & E-commerce
  • Manufacturing
  • IT & Telecom

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 AI-Powered Enterprise Automation Market, By Tool Type

  • 5.1 Enterprise RPA Platforms
  • 5.2 Intelligent Document Processing Tools
  • 5.3 Workflow & Orchestration Platforms
  • 5.4 AI Chatbots & Virtual Assistants
  • 5.5 Process Mining Tools
  • 5.6 Low-Code/No-Code Platforms
  • 5.7 Integration & API Automation Tools

6 Global AI-Powered Enterprise Automation Market, By Component

  • 6.1 Hardware
  • 6.2 Software & Platforms
  • 6.3 Services

7 Global AI-Powered Enterprise Automation Market, By Technology

  • 7.1 Machine Learning & AI
  • 7.2 Natural Language Processing
  • 7.3 Computer Vision
  • 7.4 Process Mining
  • 7.5 Generative AI

8 Global AI-Powered Enterprise Automation Market, By Application

  • 8.1 Finance & Accounting Automation
  • 8.2 HR Automation
  • 8.3 Customer Service Automation
  • 8.4 Supply Chain Automation
  • 8.5 IT Operations Automation
  • 8.6 Sales & Marketing Automation

9 Global AI-Powered Enterprise Automation Market, By End User

  • 9.1 BFSI
  • 9.2 Healthcare
  • 9.3 Retail & E-commerce
  • 9.4 Manufacturing
  • 9.5 IT & Telecom

10 Global AI-Powered Enterprise 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 Microsoft Corporation
  • 13.2 IBM Corporation
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 ServiceNow Inc.
  • 13.6 UiPath Inc.
  • 13.7 Automation Anywhere Inc.
  • 13.8 Blue Prism Group plc
  • 13.9 Appian Corporation
  • 13.10 Pegasystems Inc.
  • 13.11 NICE Ltd.
  • 13.12 Kofax Inc.
  • 13.13 Celonis SE
  • 13.14 Tata Consultancy Services (TCS)
  • 13.15 Infosys Limited
  • 13.16 Wipro Limited
  • 13.17 Accenture plc

List of Tables

  • Table 1 Global AI-Powered Enterprise Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI-Powered Enterprise Automation Market Outlook, By Tool Type (2023-2034) ($MN)
  • Table 3 Global AI-Powered Enterprise Automation Market Outlook, By Enterprise RPA Platforms (2023-2034) ($MN)
  • Table 4 Global AI-Powered Enterprise Automation Market Outlook, By Intelligent Document Processing Tools (2023-2034) ($MN)
  • Table 5 Global AI-Powered Enterprise Automation Market Outlook, By Workflow & Orchestration Platforms (2023-2034) ($MN)
  • Table 6 Global AI-Powered Enterprise Automation Market Outlook, By AI Chatbots & Virtual Assistants (2023-2034) ($MN)
  • Table 7 Global AI-Powered Enterprise Automation Market Outlook, By Process Mining Tools (2023-2034) ($MN)
  • Table 8 Global AI-Powered Enterprise Automation Market Outlook, By Low-Code/No-Code Platforms (2023-2034) ($MN)
  • Table 9 Global AI-Powered Enterprise Automation Market Outlook, By Integration & API Automation Tools (2023-2034) ($MN)
  • Table 10 Global AI-Powered Enterprise Automation Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global AI-Powered Enterprise Automation Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 12 Global AI-Powered Enterprise Automation Market Outlook, By Software & Platforms (2023-2034) ($MN)
  • Table 13 Global AI-Powered Enterprise Automation Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global AI-Powered Enterprise Automation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 15 Global AI-Powered Enterprise Automation Market Outlook, By Machine Learning & AI (2023-2034) ($MN)
  • Table 16 Global AI-Powered Enterprise Automation Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 17 Global AI-Powered Enterprise Automation Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 18 Global AI-Powered Enterprise Automation Market Outlook, By Process Mining (2023-2034) ($MN)
  • Table 19 Global AI-Powered Enterprise Automation Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 20 Global AI-Powered Enterprise Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 21 Global AI-Powered Enterprise Automation Market Outlook, By Finance & Accounting Automation (2023-2034) ($MN)
  • Table 22 Global AI-Powered Enterprise Automation Market Outlook, By HR Automation (2023-2034) ($MN)
  • Table 23 Global AI-Powered Enterprise Automation Market Outlook, By Customer Service Automation (2023-2034) ($MN)
  • Table 24 Global AI-Powered Enterprise Automation Market Outlook, By Supply Chain Automation (2023-2034) ($MN)
  • Table 25 Global AI-Powered Enterprise Automation Market Outlook, By IT Operations Automation (2023-2034) ($MN)
  • Table 26 Global AI-Powered Enterprise Automation Market Outlook, By Sales & Marketing Automation (2023-2034) ($MN)
  • Table 27 Global AI-Powered Enterprise Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 28 Global AI-Powered Enterprise Automation Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 29 Global AI-Powered Enterprise Automation Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 30 Global AI-Powered Enterprise Automation Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 31 Global AI-Powered Enterprise Automation Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 32 Global AI-Powered Enterprise Automation Market Outlook, By IT & Telecom (2023-2034) ($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.