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市场调查报告书
商品编码
2021521

人工智慧市场预测：机器人流程自动化（RPA）至2034年全球分析（按工具类型、组件、方法、应用、最终用户和地区划分）

AI in Robotic Process Automation Market Forecasts to 2034 - Global Analysis By Tool Type, Component, Approach, 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 的数据，预计到 2026 年，全球机器人流程自动化领域的 AI 市场规模将达到 186 亿美元，并在预测期内以 7.9% 的复合年增长率增长，到 2034 年将达到 344 亿美元。

在机器人流程自动化中，人工智慧指的是利用机器学习、自然语言处理、电脑视觉和认知决策能力来增强传统的基于规则的软体机器人自动化。这使得智慧机器人能够处理非结构化资料输入、适应流程波动、从异常处理模式中学习、从复杂文件中提取资讯、进行互动式交互，并在金融、医疗保健、银行和营运等企业工作流程环境中自主发现最佳化机会。

企业对降低成本的需求

在企业降低成本和提升营运效率的压力下，人工智慧机器人流程自动化（AI-RPA）平台的应用正在加速成长。这是因为企业希望自动化处理大量重复性的后勤部门任务，这些任务通常会产生巨大的人事费用，例如发票处理、保险理赔审核、客户註册和监管报告。与人工流程相比，AI-RPA 的实施已展现出 60-80% 的生产力提升，其显着的投资报酬率 (ROI) 指标足以证明企业在各个职能部门加强对自动化平台投资的合理性。

变革管理阻力

员工群体对自动化可能导致失业的担忧，使得他们对组织变革管理产生抵触情绪，造成内部推广摩擦。这会延缓人工智慧/机器人流程自动化（AI/RPA）的部署进度，并限制那些因劳资关係问题而对自动化专案抱有较高期望的公司内部的部署规模。儘管成功的大规模AI/RPA部署需要经营团队的持续支持以及对全面员工再培训项目的投入，但许多组织在最初的自动化商业计划中却低估了这些投入。

医疗领域的流程自动化

随着医疗机构、保险公司和製药公司采用人工智慧机器人流程自动化（AI-RPA）来自动化诸如核准批处理、临床文件提取、理赔审核和监管申报等任务，医疗管理流程的自动化代表着一个高价值的成长机会。这些任务消耗了整个医疗价值链中大量的管理资源。能够处理非结构化临床文件并与复杂的医疗资讯系统整合的AI-RPA平台，正受到医疗采购方的青睐，价格不菲。

人工智慧带来的另类风险

生成式人工智慧平台能够执行自然语言任务、生成程式码，并透过自主代理进行流程处理，其强大的功能对传统的基于人工智慧/RPA机器人的自动化架构构成了颠覆性的竞争威胁。随着利用大规模语言模型的代理日益展现出无需显式规则编程即可处理复杂多阶段流程的能力，企业自动化组合中对专用RPA平台的投资可能会被更灵活的人工智慧代理框架所取代。

新冠疫情的影响：

新冠疫情大大加速了人工智慧机器人流程自动化（AI-RPA）的普及。远距办公的兴起，使得以往依赖纸本文件处理和麵对面协作的流程亟需快速自动化。这催生了企业自动化的迫切需求，也使得先前自动化程度较低的企业能够实施自动化项目，从而拓展了RPA市场。后疫情时代，对数位转型和混合办公室模式优化的持续投入，推动了AI-RPA平台不断拓展至新的流程领域和产业。

在预测期内，对话式人工智慧和聊天机器人-RPA机器人细分市场预计将成为规模最大的市场。

在预测期内，对话式人工智慧和聊天机器人-RPA机器人细分市场预计将占据最大的市场份额。这主要归功于企业对客户服务自动化的广泛采用，它将对话式人工智慧前端介面与后端RPA机器人执行功能结合。这使得从捕获客户请求到完成系统交易的端到端流程自动化成为可能，无需人工干预。金融服务、电信和零售业的采用率最高，这些产业也将成为对话式人工智慧-RPA收入成长的主要驱动力。

预计在预测期内，硬体领域将呈现最高的复合年增长率。

在预测期内，硬体领域预计将呈现最高的成长率。这主要得益于企业加大对专用人工智慧推理伺服器基础设施的投资，以支援大规模人工智慧机器人流程自动化（AI-RPA）部署的运算需求。这些部署每天处理数百万笔机器人交易，其处理能力已超越传统虚拟化伺服器环境，并具备整合的机器学习模型推理、基于电脑视觉的文件处理和自然语言理解功能。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额。这是因为美国拥有全球最大的企业级AI-RPA市场，而UiPath、Automation Anywhere和Microsoft Power Automate等领先的平台供应商已在银行、保险、医疗保健和科技行业建立了大规模的企业基本客群，从而推动了该地区自动化平台收入的全球最高水平。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率。这主要归功于印度、中国、澳洲和日本的银行、金融服务和业务流程外包 (BPO) 公司为提高营运效率而大规模、快速地采用人工智慧-机器人流程自动化 (AI-RPA) 技术，以及区域系统整合商生态系统的发展，加速了各行业企业自动化专案的实施。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 成长动力、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 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
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球机器人流程自动化 (RPA) 市场：按工具类型划分

  • 有人驾驶人工智慧-机器人
  • 无人人工智慧/RPA机器人
  • 混合型人工智慧-RPA机器人
  • 智慧型文件处理（IDP）机器人
  • 互动式人工智慧聊天机器人 - RPA机器人
  • 流程发现与挖掘机器人
  • 人工智慧驱动的测试自动化机器人

第六章：全球机器人流程自动化（RPA）市场：依组件划分

  • 硬体
  • 软体平台
  • 服务

第七章 全球机器人流程自动化 (RPA) 市场：依方法划分

  • 自然语言处理 (NLP) / 自然语言理解
  • 电脑视觉和光学字元辨识（OCR）
  • 机器学习和流程优化
  • 流程挖掘/任务挖掘
  • 人工智慧世代

第八章 全球机器人流程自动化 (RPA) 市场：按应用划分

  • 财务和会计自动化
  • 人力资源和薪资自动化
  • 客户服务和支援的自动化
  • 供应链和采购自动化
  • IT维运与服务台自动化
  • 审计和监管报告
  • 医疗计费和收入週期的自动化

第九章：全球机器人流程自动化（RPA）市场：依最终用户划分

  • 银行、金融服务和保险（BFSI）
  • 卫生保健
  • 电子商务公司
  • 工业公司
  • 电信业者

第十章：全球机器人流程自动化（RPA）市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟、合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • UiPath
  • Automation Anywhere
  • Blue Prism（SS&C）
  • Microsoft Power Automate
  • SAP Build Process Automation
  • IBM Robotic Process Automation
  • Pegasystems
  • NICE（RPA）
  • Kofax（Tungsten Automation）
  • WorkFusion
  • Appian
  • Nintex
  • Kryon（Leap）
  • EdgeVerve（Infosys）
  • HelpSystems
  • Redwood Software
  • Softomotive
Product Code: SMRC34861

According to Stratistics MRC, the Global AI in Robotic Process Automation Market is accounted for $18.6 billion in 2026 and is expected to reach $34.4 billion by 2034 growing at a CAGR of 7.9% during the forecast period. AI in robotic process automation refers to the enhancement of traditional rule-based software bot automation with machine learning, natural language processing, computer vision, and cognitive decision-making capabilities that enable intelligent bots to handle unstructured data inputs, adapt to process variations, learn from exception handling patterns, extract information from complex documents, engage in conversational interactions, and autonomously discover optimization opportunities within enterprise workflow environments across finance, healthcare, banking, and operations functions.

Market Dynamics:

Driver:

Enterprise Cost Reduction Imperative

Enterprise cost reduction mandates and operational efficiency improvement pressures are driving accelerated AI-RPA platform adoption as organizations seek to automate high-volume repetitive back-office processes including invoice processing, claims adjudication, customer onboarding, and regulatory reporting that collectively represent substantial labor cost pools. AI-RPA deployments delivering documented productivity improvements of 60 to 80 percent over manual processing are generating compelling return-on-investment metrics that justify expanding automation platform investments across enterprise functions.

Restraint:

Change Management Resistance

Organizational change management resistance from employee groups concerned about automation-driven workforce displacement creates internal adoption friction that delays AI-RPA implementation timelines and limits deployment scope within enterprises where labor relations considerations constrain automation program ambition. Successful large-scale AI-RPA deployments require sustained executive sponsorship and comprehensive workforce reskilling program investment that many organizations underestimate in initial automation business case planning.

Opportunity:

Healthcare Process Automation

Healthcare administrative process automation represents a high-value growth opportunity as hospitals, insurance payers, and pharmaceutical companies deploy AI-RPA to automate prior authorization processing, clinical documentation extraction, claims adjudication, and regulatory submission preparation that collectively consume enormous administrative labor resources across the healthcare value chain. AI-RPA platforms capable of processing unstructured clinical documents and interfacing with complex healthcare information systems command premium pricing from healthcare enterprise buyers.

Threat:

Generative AI Displacement Risk

Generative AI platform capabilities for natural language task execution, code generation, and autonomous agent-based process handling represent a disruptive competitive threat to traditional AI-RPA bot-based automation architectures as large language model-powered agents increasingly demonstrate the ability to handle complex multi-step processes without explicit rule programming, potentially displacing dedicated RPA platform investments with more flexible AI agent frameworks in enterprise automation portfolios.

Covid-19 Impact:

COVID-19 dramatically accelerated AI-RPA adoption as remote work transitions required rapid automation of processes previously reliant on physical document handling and in-person coordination, creating urgent enterprise automation demand that expanded the RPA market by introducing automation programs to organizations with previously limited automation adoption. Post-pandemic, sustained digital transformation investment and hybrid work model optimization continue driving AI-RPA platform expansion into new process domains and industry verticals.

The conversational AI & chatbot-RPA bots segment is expected to be the largest during the forecast period

The conversational AI & chatbot-RPA bots segment is expected to account for the largest market share during the forecast period, due to widespread enterprise deployment of customer service automation integrating conversational AI front-end interfaces with backend RPA bot execution capabilities that enable end-to-end process automation from customer request capture through system transaction completion without human intervention. Financial services, telecommunications, and retail enterprises represent the highest-volume deployment sectors driving substantial conversational AI-RPA revenue.

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 expanding enterprise investment in dedicated AI inference server infrastructure to support the computational requirements of large-scale AI-RPA deployments processing millions of daily bot transactions with integrated machine learning model inference, computer vision document processing, and natural language understanding capabilities that exceed the processing capacity of conventional virtualized server environments.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's largest enterprise AI-RPA market with leading platform vendors including UiPath, Automation Anywhere, and Microsoft Power Automate achieving substantial enterprise customer bases across banking, insurance, healthcare, and technology sectors driving the highest per-region automation platform revenue globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid large-scale AI-RPA deployment among banking, financial services, and business process outsourcing organizations in India, China, Australia, and Japan seeking operational efficiency improvements, combined with growing regional system integrator ecosystems accelerating enterprise automation program implementations across diverse industry verticals.

Key players in the market

Some of the key players in AI in Robotic Process Automation Market include UiPath, Automation Anywhere, Blue Prism (SS&C), Microsoft Power Automate, SAP Build Process Automation, IBM Robotic Process Automation, Pegasystems, NICE (RPA), Kofax (Tungsten Automation), WorkFusion, Appian, Nintex, Kryon (Leap), EdgeVerve (Infosys), HelpSystems, Redwood Software, and Softomotive.

Key Developments:

In March 2026, UiPath launched its generative AI-powered Autopilot for Everyone platform, enabling business users to create AI-RPA automations through natural language instructions without specialized RPA developer programming expertise.

In February 2026, Automation Anywhere introduced a new AI Agent Studio, enabling enterprises to deploy autonomous AI agents alongside traditional RPA bots for complex multi-step process automation requiring adaptive decision-making capabilities.

In January 2026, Pegasystems expanded its intelligent automation platform with generative AI-powered process discovery capabilities that automatically identify automation opportunities within enterprise workflow data with minimal configuration requirements.

Tool Types Covered:

  • Attended AI-RPA Bots
  • Unattended AI-RPA Bots
  • Hybrid AI-RPA Bots
  • Intelligent Document Processing (IDP) Bots
  • Conversational AI & Chatbot-RPA Bots
  • Process Discovery & Mining Bots
  • AI-Powered Test Automation Bots

Components Covered:

  • Hardware
  • Software & Platforms
  • Services

Approaches Covered:

  • Natural Language Processing (NLP) and NLU
  • Computer Vision and Optical Character Recognition (OCR)
  • Machine Learning & Process Optimization
  • Process Mining & Task Mining
  • Generative AI

Applications Covered:

  • Finance & Accounting Automation
  • Human Resources & Payroll Automation
  • Customer Service & Support Automation
  • Supply Chain & Procurement Automation
  • IT Operations & Service Desk Automation
  • Audit & Regulatory Reporting
  • Healthcare Claims & Revenue Cycle Automation

End Users Covered:

  • Banking, Financial Services and Insurance (BFSI)
  • Healthcare
  • E-Commerce Companies
  • Industrial Enterprises
  • Telecommunications Companies

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 in Robotic Process Automation Market, By Tool Type

  • 5.1 Attended AI-RPA Bots
  • 5.2 Unattended AI-RPA Bots
  • 5.3 Hybrid AI-RPA Bots
  • 5.4 Intelligent Document Processing (IDP) Bots
  • 5.5 Conversational AI & Chatbot-RPA Bots
  • 5.6 Process Discovery & Mining Bots
  • 5.7 AI-Powered Test Automation Bots

6 Global AI in Robotic Process Automation Market, By Component

  • 6.1 Hardware
  • 6.2 Software & Platforms
  • 6.3 Services

7 Global AI in Robotic Process Automation Market, By Approach

  • 7.1 Natural Language Processing (NLP) and NLU
  • 7.2 Computer Vision and Optical Character Recognition (OCR)
  • 7.3 Machine Learning & Process Optimization
  • 7.4 Process Mining & Task Mining
  • 7.5 Generative AI

8 Global AI in Robotic Process Automation Market, By Application

  • 8.1 Finance & Accounting Automation
  • 8.2 Human Resources & Payroll Automation
  • 8.3 Customer Service & Support Automation
  • 8.4 Supply Chain & Procurement Automation
  • 8.5 IT Operations & Service Desk Automation
  • 8.6 Audit & Regulatory Reporting
  • 8.7 Healthcare Claims & Revenue Cycle Automation

9 Global AI in Robotic Process Automation Market, By End User

  • 9.1 Banking, Financial Services and Insurance (BFSI)
  • 9.2 Healthcare
  • 9.3 E-Commerce Companies
  • 9.4 Industrial Enterprises
  • 9.5 Telecommunications Companies

10 Global AI in Robotic Process 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
  • 13.2 Automation Anywhere
  • 13.3 Blue Prism (SS&C)
  • 13.4 Microsoft Power Automate
  • 13.5 SAP Build Process Automation
  • 13.6 IBM Robotic Process Automation
  • 13.7 Pegasystems
  • 13.8 NICE (RPA)
  • 13.9 Kofax (Tungsten Automation)
  • 13.10 WorkFusion
  • 13.11 Appian
  • 13.12 Nintex
  • 13.13 Kryon (Leap)
  • 13.14 EdgeVerve (Infosys)
  • 13.15 HelpSystems
  • 13.16 Redwood Software
  • 13.17 Softomotive

List of Tables

  • Table 1 Global AI in Robotic Process Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Robotic Process Automation Market Outlook, By Tool Type (2023-2034) ($MN)
  • Table 3 Global AI in Robotic Process Automation Market Outlook, By Attended AI-RPA Bots (2023-2034) ($MN)
  • Table 4 Global AI in Robotic Process Automation Market Outlook, By Unattended AI-RPA Bots (2023-2034) ($MN)
  • Table 5 Global AI in Robotic Process Automation Market Outlook, By Hybrid AI-RPA Bots (2023-2034) ($MN)
  • Table 6 Global AI in Robotic Process Automation Market Outlook, By Intelligent Document Processing (IDP) Bots (2023-2034) ($MN)
  • Table 7 Global AI in Robotic Process Automation Market Outlook, By Conversational AI & Chatbot-RPA Bots (2023-2034) ($MN)
  • Table 8 Global AI in Robotic Process Automation Market Outlook, By Process Discovery & Mining Bots (2023-2034) ($MN)
  • Table 9 Global AI in Robotic Process Automation Market Outlook, By AI-Powered Test Automation Bots (2023-2034) ($MN)
  • Table 10 Global AI in Robotic Process Automation Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global AI in Robotic Process Automation Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 12 Global AI in Robotic Process Automation Market Outlook, By Software & Platforms (2023-2034) ($MN)
  • Table 13 Global AI in Robotic Process Automation Market Outlook, By Services (2023-2034) ($MN)
  • Table 14 Global AI in Robotic Process Automation Market Outlook, By Approach (2023-2034) ($MN)
  • Table 15 Global AI in Robotic Process Automation Market Outlook, By Natural Language Processing (NLP) and NLU (2023-2034) ($MN)
  • Table 16 Global AI in Robotic Process Automation Market Outlook, By Computer Vision and Optical Character Recognition (OCR) (2023-2034) ($MN)
  • Table 17 Global AI in Robotic Process Automation Market Outlook, By Machine Learning & Process Optimization (2023-2034) ($MN)
  • Table 18 Global AI in Robotic Process Automation Market Outlook, By Process Mining & Task Mining (2023-2034) ($MN)
  • Table 19 Global AI in Robotic Process Automation Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 20 Global AI in Robotic Process Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 21 Global AI in Robotic Process Automation Market Outlook, By Finance & Accounting Automation (2023-2034) ($MN)
  • Table 22 Global AI in Robotic Process Automation Market Outlook, By Human Resources & Payroll Automation (2023-2034) ($MN)
  • Table 23 Global AI in Robotic Process Automation Market Outlook, By Customer Service & Support Automation (2023-2034) ($MN)
  • Table 24 Global AI in Robotic Process Automation Market Outlook, By Supply Chain & Procurement Automation (2023-2034) ($MN)
  • Table 25 Global AI in Robotic Process Automation Market Outlook, By IT Operations & Service Desk Automation (2023-2034) ($MN)
  • Table 26 Global AI in Robotic Process Automation Market Outlook, By Audit & Regulatory Reporting (2023-2034) ($MN)
  • Table 27 Global AI in Robotic Process Automation Market Outlook, By Healthcare Claims & Revenue Cycle Automation (2023-2034) ($MN)
  • Table 28 Global AI in Robotic Process Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global AI in Robotic Process Automation Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2023-2034) ($MN)
  • Table 30 Global AI in Robotic Process Automation Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 31 Global AI in Robotic Process Automation Market Outlook, By E-Commerce Companies (2023-2034) ($MN)
  • Table 32 Global AI in Robotic Process Automation Market Outlook, By Industrial Enterprises (2023-2034) ($MN)
  • Table 33 Global AI in Robotic Process Automation Market Outlook, By Telecommunications Companies (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.