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市场调查报告书
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1904721

人工智慧增强型自动化市场预测至2032年：按组件、部署类型、技术、组织规模、应用、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球人工智慧增强型自动化市场规模将达到 915 亿美元，到 2032 年将达到 3,680.7 亿美元，预测期内复合年增长率为 22.0%。

人工智慧增强型自动化将先进的人工智慧功能与传统自动化技术结合，打造出能够思考、学习和适应的智慧型系统。这些系统不再仅依赖预先定义的指令，而是能够分析大量资料、识别趋势，并在动态环境中自主决策。透过运用机器学习和分析等技术，人工智慧驱动的自动化能够提高生产力、减少错误并优化工业製造、银行、医疗保健和供应链等行业的流程，最终使企业能够更快、更聪明、更具韧性地运作。

自主系统的兴起

越来越多的组织正在部署人工智慧代理，这些代理能够独立执行任务、优化工作流程，并在极少人工干预的情况下做出情境决策。这些系统透过动态适应即时数据和不断变化的业务环境，提高了营运效率。强化学习、大规模语言模型和编配平台的进步正在拓展自主自动化的范围。企业正在利用智慧代理进行流程优化、客户参与和预测性决策。基于代理的系统能够跨多个应用程式进行协作，这正在改变传统的自动化架构。随着企业追求可扩展且具弹性的营运模式，对人工智慧驱动的自主解决方案的需求持续成长。

资料隐私和主权问题

自动化系统高度依赖大量敏感的企业和消费者资料来提供准确的洞察和决策。诸如GDPR、HIPAA以及区域资料本地化法律等法规对资料的收集、储存和处理方式施加了许多限制。跨境营运的组织在遵守不同法规结构面临复杂的挑战。基于云端的AI平台的使用引发了人们对未授权存取和跨司法管辖区资料传输的担忧。企业越来越谨慎地部署缺乏透明管治控制的自主系统。这些监管和合规性方面的挑战可能导致部署延迟和实施成本增加。

永续性和ESG优化

各组织机构正越来越多地利用人工智慧驱动的自动化技术来监控能源消耗、减少排放并优化资源利用。智慧系统能够即时追踪供应链和业务营运中的环境、社会和治理 (ESG) 指标。自动化平台可以识别低效率环节，并提案符合永续性目标的纠正措施。企业正在利用预测分析来最大限度地减少废弃物并提高环境合规性。监管压力和投资者对 ESG 绩效的关注正在加速技术的应用。随着永续发展成为一项策略重点，人工智慧驱动的自动化正在成为关键驱动力。

利用先进人工智慧的网路攻击

恶意行为者正利用人工智慧来攻击漏洞、规避安全措施并发动自适应攻击。互联繫统的自动化环境扩大了潜在的攻击面。被入侵的人工智慧模型可以操纵决策并扰乱营运。随着自动化程度的提高，网路攻击的影响也愈发严重。企业必须大力投资人工智慧驱动的网路安全和持续监控框架。未能应对这些风险可能会削弱信任并阻碍市场接受度。

新冠疫情的影响：

新冠疫情加速了人工智慧增强型自动化在多个产业的应用。封锁和劳动力中断凸显了建构弹性自主运作模式的必要性。各组织迅速采用智慧自动化来维持业务永续营运并管理远端营运。供应链的波动性增加了对人工智慧驱动的预测和自适应规划工具的需求。企业也利用自动化来改善数位化客户参与和服务交付。这场危机加速了云端采用和人工智慧整合的进程。后疫情时代的策略强调可扩展的自动化和减少对人工流程的依赖。

预计在预测期内，软体领域将占据最大的市场份额。

预计在预测期内，软体领域将占据最大的市场份额。软体平台能够实现企业工作流程中的智慧编配、分析和决策。向云端人工智慧解决方案的转变正在推动自动化软体的广泛应用。人工智慧模型和低程式码平台的持续进步正在扩大其在各行业的可用性。与以硬体为中心的自动化相比，软体解决方案具有可扩展性和柔软性。企业更倾向于能够与其现有IT生态系统整合的模组化平台。

预计在预测期内，医疗保健和生命科学领域将实现最高的复合年增长率。

由于医疗保健和生命科学领域在实现人工智慧和自主性方面发挥核心作用，预计该领域在预测期内将实现最高成长率。自动化软体有助于资料撷取、模型训练和工作流程的即时执行。各组织正越来越多地投资于提供端到端自动化功能的平台。软体更新和人工智慧模型改进无需更改基础设施即可快速部署。与企业应用程式的整合可提高营运的可见度和控制力。订阅定价模式进一步推动了该技术的普及。

占比最大的地区：

预计北美将在预测期内占据最大的市场份额。医疗服务提供者正在采用人工智慧自动化技术来简化临床工作流程和行政作业。智慧系统有助于诊断、患者预约和治疗方案製定。自动化提高了数据准确性，并减轻了临床医生的工作量。生命科学公司正在药物研发和临床试验管理中利用人工智慧驱动的自动化技术。监管合规性和数据管理也正透过智慧平台提升。

复合年增长率最高的地区：

由于数位化转型措施的不断推进，预计亚太地区在预测期内将实现最高的复合年增长率。人工智慧增强的自动化技术能够加快决策速度，并改善患者预后。医院正在采用智慧系统来优化资源配置并降低营运成本。生命科学公司正受益于研发和生产流程中的自动化分析。电子健康记录 (EHR) 的日益普及也推动了自动化技术的应用。政府促进数位医疗的措施进一步加速了这一进程。

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    • 根据主要企业的产品系列、地理覆盖范围和策略联盟进行基准分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

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

5. 全球人工智慧增强型自动化市场（按组件划分）

  • 软体
  • 服务
    • 咨询
    • 整合与部署
    • 支援与维护
    • 託管服务

6. 全球人工智慧增强型自动化市场依部署类型划分

  • 基于云端的
  • 本地部署
  • 杂交种

7. 全球人工智慧增强型自动化市场（按技术划分）

  • 机器学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 深度学习
  • 强化学习
  • 流程挖掘
  • 人工智慧世代

8. 全球人工智慧增强型自动化市场（依组织规模划分）

  • 大公司
  • 中小企业

第九章：全球人工智慧增强型自动化市场（按应用划分）

  • 业务流程自动化
  • 决策智能
  • 预测性维护
  • 客户服务自动化
  • 诈欺侦测和风险管理
  • 供应链自动化
  • 品管与合规性

第十章：全球人工智慧增强型自动化市场（以最终用户划分）

  • BFSI
  • 製造业
  • 医疗保健和生命科学
  • 零售与电子商务
  • IT/通讯
  • 车
  • 能源与公共产业
  • 政府/公共部门

第十一章 全球人工智慧增强型自动化市场（按地区划分）

  • 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
    • 其他南美国家
  • 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
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • 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.