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1904721

人工智慧增強型自動化市場預測至2032年：按組件、部署類型、技術、組織規模、應用、最終用戶和地區分類的全球分析

AI-Enhanced Automation Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode, Technology, Organization Size, 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 的一項研究，預計到 2025 年，全球人工智慧增強型自動化市場規模將達到 915 億美元，到 2032 年將達到 3,680.7 億美元，預測期內複合年成長率為 22.0%。

人工智慧增強型自動化將先進的人工智慧功能與傳統自動化技術結合，打造出能夠思考、學習和適應的智慧型系統。這些系統不再僅依賴預先定義的指令，而是能夠分析大量資料、識別趨勢，並在動態環境中自主決策。透過運用機器學習和分析等技術，人工智慧驅動的自動化能夠提高生產力、減少錯誤並最佳化工業製造、銀行、醫療保健和供應鏈等行業的流程，最終使企業能夠更快、更聰明、更具韌性地運作。

自主系統的興起

越來越多的組織正在部署人工智慧代理，這些代理能夠獨立執行任務、最佳化工作流程，並在極少人工干預的情況下做出情境決策。這些系統透過動態適應即時數據和不斷變化的業務環境，提高了營運效率。強化學習、大規模語言模型和編配平台的進步正在拓展自主自動化的範圍。企業正在利用智慧代理進行流程最佳化、客戶參與和預測性決策。基於代理的系統能夠跨多個應用程式進行協作，這正在改變傳統的自動化架構。隨著企業追求可擴展且具彈性的營運模式，對人工智慧驅動的自主解決方案的需求持續成長。

資料隱私和主權問題

自動化系統高度依賴大量敏感的企業和消費者資料來提供準確的洞察和決策。諸如GDPR、HIPAA以及區域資料本地化法律等法規對資料的收集、儲存和處理方式施加了許多限制。跨境營運的組織在遵守不同法規結構面臨複雜的挑戰。基於雲端的AI平台的使用引發了人們對未授權存取和跨司法管轄區資料傳輸的擔憂。企業越來越謹慎地部署缺乏透明管治控制的自主系統。這些監管和合規性方面的挑戰可能導致部署延遲和實施成本增加。

永續性和ESG最佳化

各組織機構正擴大利用人工智慧驅動的自動化技術來監控能源消耗、減少排放並最佳化資源利用。智慧系統能夠即時追蹤供應鏈和業務營運中的環境、社會和治理 (ESG) 指標。自動化平台可以識別低效率環節，並提案符合永續性目標的糾正措施。企業正在利用預測分析來最大限度地減少廢棄物並提高環境合規性。監管壓力和投資者對 ESG 績效的關注正在加速技術的應用。隨著永續發展成為一項策略重點，人工智慧驅動的自動化正在成為關鍵驅動力。

利用先進人工智慧的網路攻擊

惡意行為者正利用人工智慧來攻擊漏洞、規避安全措施並發動自適應攻擊。互聯系統的自動化環境擴大了潛在的攻擊面。被入侵的人工智慧模型可以操縱決策並擾亂營運。隨著自動化程度的提高，網路攻擊的影響也愈發嚴重。企業必須大力投資人工智慧驅動的網路安全和持續監控框架。未能應對這些風險可能會削弱信任並阻礙市場接受度。

新冠疫情的影響：

新冠疫情加速了人工智慧增強型自動化在多個產業的應用。封鎖和勞動力中斷凸顯了建構彈性自主運作模式的必要性。各組織迅速採用智慧自動化來維持業務永續營運並管理遠端營運。供應鏈的波動性增加了對人工智慧驅動的預測和自適應規劃工具的需求。企業也利用自動化來改善數位化客戶參與和服務交付。這場危機加速了雲端採用和人工智慧整合的進程。後疫情時代的策略強調可擴展的自動化和減少對人工流程的依賴。

預計在預測期內，軟體領域將佔據最大的市場佔有率。

預計在預測期內，軟體領域將佔據最大的市場佔有率。軟體平台能夠實現企業工作流程中的智慧編配、分析和決策。向雲端人工智慧解決方案的轉變正在推動自動化軟體的廣泛應用。人工智慧模型和低程式碼平台的持續進步正在擴大其在各行業的可用性。與以硬體為中心的自動化相比，軟體解決方案具有可擴展性和柔軟性。企業更傾向於能夠與其現有IT生態系統整合的模組化平台。

預計在預測期內，醫療保健和生命科學領域將實現最高的複合年成長率。

由於醫療保健和生命科學領域在實現人工智慧和自主性方面發揮核心作用，預計該領域在預測期內將實現最高成長率。自動化軟體有助於資料擷取、模型訓練和工作流程的即時執行。各組織正擴大投資於提供端到端自動化功能的平台。軟體更新和人工智慧模型改進無需更改基礎設施即可快速部署。與企業應用程式的整合可提高營運的可見度和控制力。訂閱定價模式進一步推動了該技術的普及。

佔比最大的地區：

預計北美將在預測期內佔據最大的市場佔有率。醫療服務提供者正在採用人工智慧自動化技術來簡化臨床工作流程和行政作業。智慧系統有助於診斷、患者預約和治療方案製定。自動化提高了數據準確性，並減輕了臨床醫生的工作量。生命科學公司正在藥物研發和臨床試驗管理中利用人工智慧驅動的自動化技術。監管合規性和數據管理也正透過智慧平台提升。

複合年成長率最高的地區：

由於數位化轉型措施的不斷推進，預計亞太地區在預測期內將實現最高的複合年成長率。人工智慧增強的自動化技術能夠加快決策速度，並改善患者預後。醫院正在採用智慧系統來最佳化資源配置並降低營運成本。生命科學公司正受益於研發和生產流程中的自動化分析。電子健康記錄 (EHR) 的日益普及也推動了自動化技術的應用。政府促進數位醫療的措施進一步加速了這一進程。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 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
  • 競爭對手之間的競爭

5. 全球人工智慧增強型自動化市場（按組件分類）

  • 軟體
  • 服務
    • 諮詢
    • 整合與部署
    • 支援與維護
    • 託管服務

6. 全球人工智慧增強型自動化市場依部署類型分類

  • 基於雲端的
  • 本地部署
  • 混合

7. 全球人工智慧增強型自動化市場（按技術分類）

  • 機器學習
  • 自然語言處理（NLP）
  • 電腦視覺
  • 深度學習
  • 強化學習
  • 流程挖掘
  • 人工智慧世代

8. 全球人工智慧增強型自動化市場（依組織規模分類）

  • 主要企業
  • 中小企業

第9章：全球人工智慧增強型自動化市場（按應用分類）

  • 業務流程自動化
  • 決策智慧
  • 預測性維護
  • 客戶服務自動化
  • 詐欺偵測和風險管理
  • 供應鏈自動化
  • 品管與合規性

第10章：全球人工智慧增強型自動化市場（以最終用戶分類）

  • BFSI
  • 製造業
  • 醫療保健和生命科學
  • 零售與電子商務
  • IT/通訊
  • 車
  • 能源與公共產業
  • 政府/公共部門

第11章 全球人工智慧增強型自動化市場（按地區分類）

  • 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
    • 其他南美國家
  • 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
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • UiPath
  • WorkFusion Inc.
  • Automation Anywhere
  • Verint Systems Inc.
  • Microsoft
  • Kofax Inc.
  • IBM
  • Infosys Ltd.
  • SS&C;Blue Prism
  • EdgeVerve Systems Ltd.
  • SAP
  • AntWorks
  • Pegasystems
  • Appian Corp.
  • NICE Ltd.
Product Code: SMRC33141

According to Stratistics MRC, the Global AI-Enhanced Automation Market is accounted for $91.50 billion in 2025 and is expected to reach $368.07 billion by 2032 growing at a CAGR of 22.0% during the forecast period. AI-Enhanced Automation combines advanced artificial intelligence capabilities with conventional automation to create intelligent systems that can think, learn, and adapt. Instead of relying solely on predefined instructions, these systems analyze large volumes of data, identify trends, and make autonomous decisions in dynamic environments. By using technologies like machine learning and analytics, AI-driven automation improves productivity, minimizes errors, and optimizes processes across industries such as industrial production, banking, healthcare, and supply chains, ultimately enabling faster, smarter, and more resilient business operations.

Market Dynamics:

Driver:

Rise of agentic and autonomous systems

Organizations are increasingly deploying AI agents capable of independently executing tasks, optimizing workflows, and making contextual decisions with minimal human oversight. These systems improve operational efficiency by dynamically adapting to real-time data and changing business conditions. Advances in reinforcement learning, large language models, and orchestration platforms are expanding the scope of autonomous automation. Enterprises are leveraging intelligent agents for process optimization, customer engagement, and predictive decision-making. The ability of agentic systems to coordinate across multiple applications is transforming traditional automation architectures. As enterprises pursue scalable and resilient operations, demand for AI-driven autonomous solutions continues to rise.

Restraint:

Data privacy and sovereignty concerns

Automated systems rely heavily on large volumes of sensitive enterprise and consumer data to deliver accurate insights and decisions. Regulations such as GDPR, HIPAA, and regional data localization laws restrict how data can be collected, stored, and processed. Organizations operating across borders face complexities in complying with varying regulatory frameworks. The use of cloud-based AI platforms raises concerns about unauthorized access and cross-jurisdictional data transfer. Enterprises are increasingly cautious about deploying autonomous systems that lack transparent governance controls. These regulatory and compliance challenges can slow deployment and increase implementation costs.

Opportunity:

Sustainability and ESG optimization

Organizations are increasingly using AI-driven automation to monitor energy consumption, reduce emissions, and optimize resource utilization. Intelligent systems enable real-time tracking of ESG metrics across supply chains and operations. Automation platforms can identify inefficiencies and recommend corrective actions aligned with sustainability goals. Enterprises are leveraging predictive analytics to minimize waste and improve environmental compliance. Regulatory pressure and investor focus on ESG performance are accelerating technology adoption. As sustainability becomes a strategic priority, AI-enabled automation is emerging as a critical enabler.

Threat:

Sophisticated AI-powered cyberattacks

Malicious actors are using AI to exploit vulnerabilities, bypass security controls, and launch adaptive attacks. Automated environments with interconnected systems expand the potential attack surface. Compromised AI models can lead to manipulated decisions and operational disruptions. As automation becomes more autonomous, the impact of cyber breaches becomes more severe. Organizations must invest heavily in AI-driven cybersecurity and continuous monitoring frameworks. Failure to address these risks may undermine trust and slow market adoption.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of AI-enhanced automation across multiple industries. Lockdowns and workforce disruptions highlighted the need for resilient and autonomous operational models. Organizations rapidly deployed intelligent automation to maintain business continuity and manage remote operations. Supply chain volatility increased demand for AI-driven forecasting and adaptive planning tools. Enterprises also adopted automation to improve digital customer engagement and service delivery. The crisis accelerated cloud adoption and AI integration timelines. Post-pandemic strategies now emphasize scalable automation and reduced dependence on manual processes.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period. Software platforms enable intelligent orchestration, analytics, and decision-making across enterprise workflows. The shift toward cloud-based AI solutions is driving widespread adoption of automation software. Continuous advancements in AI models and low-code platforms are expanding usability across industries. Software solutions offer scalability and flexibility compared to hardware-centric automation. Enterprises prefer modular platforms that integrate with existing IT ecosystems.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, due to its central role in enabling AI intelligence and autonomy. Automation software supports data ingestion, model training, and real-time execution of workflows. Organizations are increasingly investing in platforms that deliver end-to-end automation capabilities. Software updates and AI model improvements can be deployed rapidly without infrastructure changes. Integration with enterprise applications enhances operational visibility and control. Subscription-based pricing models further improve adoption rates.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Healthcare providers are adopting AI automation to streamline clinical workflows and administrative operations. Intelligent systems support diagnostics, patient scheduling, and treatment planning. Automation is improving data accuracy and reducing clinician workload. Life sciences companies are using AI-driven automation for drug discovery and clinical trial management. Regulatory compliance and data management are also being enhanced through intelligent platforms.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to increasing digital transformation initiatives. AI-enhanced automation enables faster decision-making and improved patient outcomes. Hospitals are deploying intelligent systems to optimize resource allocation and reduce operational costs. Life sciences firms benefit from automated analytics in research and manufacturing processes. The growing adoption of electronic health records supports automation deployment. Government initiatives promoting digital healthcare further accelerate adoption.

Key players in the market

Some of the key players in AI-Enhanced Automation Market include UiPath, WorkFusion, Automation Anywhere, Verint Systems, Microsoft, Kofax Inc., IBM, Infosys Ltd., SS&C Blue Prism, EdgeVerve, SAP, AntWorks, Pegasystems, Appian Corp., and NICE Ltd.

Key Developments:

In December 2025, UiPath announced it has joined the Veeva AI Partner Program. As part of the program, UiPath will help simplify and orchestrate the complex, manual, and highly regulated processes of application testing and validation. This partnership will deliver agentic, end-to-end workflows that will transform computer software assurance (CSA) testing and validation for quality management.

In November 2025, WorkFusion, the market standard for AI Agents for financial crime compliance (FCC), announced a strategic partnership with Allied Engineering Group (AEG), a leading provider of banking technology with operations across the Middle East, GCC, Africa, Turkey, Cyprus and Greece. Through this collaboration, AEG will serve as a reseller of WorkFusion's AI agents, including its flagship Evelyn, Tara and Evan offerings, enabling banks and financial institutions across the region to significantly reduce false positives in sanction screening, enhance accuracy in payments filtering, and accelerate compliance operations.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Technologies Covered:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Deep Learning
  • Reinforcement Learning
  • Process Mining
  • Generative AI

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Applications Covered:

  • Business Process Automation
  • Decision Intelligence
  • Predictive Maintenance
  • Customer Service Automation
  • Fraud Detection & Risk Management
  • Supply Chain Automation
  • Quality Control & Compliance

End Users Covered:

  • BFSI
  • Manufacturing
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • IT & Telecom
  • Automotive
  • Energy & Utilities
  • Government & Public Sector

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 2024, 2025, 2026, 2028, and 2032
  • 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 AI-Enhanced Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Services
    • 5.3.1 Consulting
    • 5.3.2 Integration & Deployment
    • 5.3.3 Support & Maintenance
    • 5.3.4 Managed Services

6 Global AI-Enhanced Automation Market, By Deployment Mode

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

7 Global AI-Enhanced Automation Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Computer Vision
  • 7.5 Deep Learning
  • 7.6 Reinforcement Learning
  • 7.7 Process Mining
  • 7.8 Generative AI

8 Global AI-Enhanced Automation Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Large Enterprises
  • 8.3 Small & Medium Enterprises (SMEs)

9 Global AI-Enhanced Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Business Process Automation
  • 9.3 Decision Intelligence
  • 9.4 Predictive Maintenance
  • 9.5 Customer Service Automation
  • 9.6 Fraud Detection & Risk Management
  • 9.7 Supply Chain Automation
  • 9.8 Quality Control & Compliance

10 Global AI-Enhanced Automation Market, By End User

  • 10.1 Introduction
  • 10.2 BFSI
  • 10.3 Manufacturing
  • 10.4 Healthcare & Life Sciences
  • 10.5 Retail & E-commerce
  • 10.6 IT & Telecom
  • 10.7 Automotive
  • 10.8 Energy & Utilities
  • 10.9 Government & Public Sector

11 Global AI-Enhanced 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 UiPath
  • 13.2 WorkFusion Inc.
  • 13.3 Automation Anywhere
  • 13.4 Verint Systems Inc.
  • 13.5 Microsoft
  • 13.6 Kofax Inc.
  • 13.7 IBM
  • 13.8 Infosys Ltd.
  • 13.9 SS&C Blue Prism
  • 13.10 EdgeVerve Systems Ltd.
  • 13.11 SAP
  • 13.12 AntWorks
  • 13.13 Pegasystems
  • 13.14 Appian Corp.
  • 13.15 NICE Ltd.

List of Tables

  • Table 1 Global AI-Enhanced Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Enhanced Automation Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-Enhanced Automation Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI-Enhanced Automation Market Outlook, By Services (2024-2032) ($MN)
  • Table 5 Global AI-Enhanced Automation Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 6 Global AI-Enhanced Automation Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 7 Global AI-Enhanced Automation Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 8 Global AI-Enhanced Automation Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 9 Global AI-Enhanced Automation Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 10 Global AI-Enhanced Automation Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 11 Global AI-Enhanced Automation Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 12 Global AI-Enhanced Automation Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 13 Global AI-Enhanced Automation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 14 Global AI-Enhanced Automation Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 15 Global AI-Enhanced Automation Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 16 Global AI-Enhanced Automation Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 17 Global AI-Enhanced Automation Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 18 Global AI-Enhanced Automation Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 19 Global AI-Enhanced Automation Market Outlook, By Process Mining (2024-2032) ($MN)
  • Table 20 Global AI-Enhanced Automation Market Outlook, By Generative AI (2024-2032) ($MN)
  • Table 21 Global AI-Enhanced Automation Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 22 Global AI-Enhanced Automation Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 23 Global AI-Enhanced Automation Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 24 Global AI-Enhanced Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 25 Global AI-Enhanced Automation Market Outlook, By Business Process Automation (2024-2032) ($MN)
  • Table 26 Global AI-Enhanced Automation Market Outlook, By Decision Intelligence (2024-2032) ($MN)
  • Table 27 Global AI-Enhanced Automation Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 28 Global AI-Enhanced Automation Market Outlook, By Customer Service Automation (2024-2032) ($MN)
  • Table 29 Global AI-Enhanced Automation Market Outlook, By Fraud Detection & Risk Management (2024-2032) ($MN)
  • Table 30 Global AI-Enhanced Automation Market Outlook, By Supply Chain Automation (2024-2032) ($MN)
  • Table 31 Global AI-Enhanced Automation Market Outlook, By Quality Control & Compliance (2024-2032) ($MN)
  • Table 32 Global AI-Enhanced Automation Market Outlook, By End User (2024-2032) ($MN)
  • Table 33 Global AI-Enhanced Automation Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 34 Global AI-Enhanced Automation Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 35 Global AI-Enhanced Automation Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 36 Global AI-Enhanced Automation Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 37 Global AI-Enhanced Automation Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 38 Global AI-Enhanced Automation Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 39 Global AI-Enhanced Automation Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 40 Global AI-Enhanced Automation Market Outlook, By Government & Public Sector (2024-2032) ($MN)

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