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市場調查報告書
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2021521

人工智慧市場預測：機器人流程自動化（RPA）至2034年全球分析（按工具類型、組件、方法、應用、最終用戶和地區分類）

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球機器人流程自動化領域的 AI 市場規模將達到 186 億美元，並在預測期內以 7.9% 的複合年成長率成長，到 2034 年將達到 344 億美元。

在機器人流程自動化中，人工智慧指的是利用機器學習、自然語言處理、電腦視覺和認知決策能力來增強傳統的基於規則的軟體機器人自動化。這使得智慧機器人能夠處理非結構化資料輸入、適應流程波動、從異常處理模式中學習、從複雜文件中提取資訊、進行互動式交互，並在金融、醫療保健、銀行和營運等企業工作流程環境中自主發現最佳化機會。

企業對降低成本的需求

在企業降低成本和提升營運效率的壓力下，人工智慧機器人流程自動化（AI-RPA）平台的應用正在加速成長。這是因為企業希望自動化處理大量重複性的後勤部門任務，這些任務通常會產生巨大的人事費用，例如發票處理、保險理賠審核、客戶註冊和監管報告。與人工流程相比，AI-RPA 的實施已展現出 60-80% 的生產力提升，其顯著的投資報酬率 (ROI) 指標足以證明企業在各個職能部門加強對自動化平台投資的合理性。

變革管理阻力

員工群體對自動化可能導致失業的擔憂，使得他們對組織變革管理產生抵觸情緒，造成內部推廣摩擦。這會延緩人工智慧/機器人流程自動化（AI/RPA）的部署進度，並限制那些因勞資關係問題而對自動化專案抱有較高期望的公司內部的部署規模。儘管成功的大規模AI/RPA部署需要經營團隊的持續支持以及對全面員工再培訓項目的投入，但許多組織在最初的自動化商業計劃中卻低估了這些投入。

醫療領域的流程自動化

隨著醫療機構、保險公司和製藥公司採用人工智慧機器人流程自動化（AI-RPA）來自動化諸如核准批處理、臨床文件提取、理賠審核和監管申報等任務，醫療管理流程的自動化代表著一個高價值的成長機會。這些任務消耗了整個醫療價值鏈中大量的管理資源。能夠處理非結構化臨床文件並與複雜的醫療資訊系統整合的AI-RPA平台，正受到醫療採購方的青睞，價格不菲。

人工智慧帶來的另類風險

生成式人工智慧平台能夠執行自然語言任務、生成程式碼，並透過自主代理進行流程處理，其強大的功能對傳統的基於人工智慧/RPA機器人的自動化架構構成了顛覆性的競爭威脅。隨著利用大規模語言模型的代理日益展現出無需顯式規則編程即可處理複雜多階段流程的能力，企業自動化組合中對專用RPA平台的投資可能會被更靈活的人工智慧代理框架所取代。

新冠疫情的影響：

新冠疫情大大加速了人工智慧機器人流程自動化（AI-RPA）的普及。遠距辦公的興起，使得以往依賴紙本文件處理和麵對面協作的流程亟需快速自動化。這催生了企業自動化的迫切需求，也使得先前自動化程度較低的企業能夠實施自動化項目，從而拓展了RPA市場。後疫情時代，對數位轉型和混合辦公室模式最佳化的持續投入，推動了AI-RPA平台不斷拓展至新的流程領域和產業。

在預測期內，對話式人工智慧和聊天機器人-RPA機器人細分市場預計將成為規模最大的市場。

在預測期內，對話式人工智慧和聊天機器人-RPA機器人細分市場預計將佔據最大的市場佔有率。這主要歸功於企業對客戶服務自動化的廣泛採用，它將對話式人工智慧前端介面與後端RPA機器人執行功能結合。這使得從捕獲客戶請求到完成系統交易的端到端流程自動化成為可能，無需人工干預。金融服務、電信和零售業的採用率最高，這些產業也將成為對話式人工智慧-RPA收入成長的主要驅動力。

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。這主要得益於企業加大對專用人工智慧推理伺服器基礎設施的投資，以支援大規模人工智慧機器人流程自動化（AI-RPA）部署的運算需求。這些部署每天處理數百萬筆機器人交易，其處理能力已超越傳統虛擬化伺服器環境，並具備整合的機器學習模型推理、基於電腦視覺的文件處理和自然語言理解功能。

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。這是因為美國擁有全球最大的企業級AI-RPA市場，而UiPath、Automation Anywhere和Microsoft Power Automate等領先的平台供應商已在銀行、保險、醫療保健和科技行業建立了大規模的企業基本客群，從而推動了該地區自動化平台收入的全球最高水平。

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。這主要歸功於印度、中國、澳洲和日本的銀行、金融服務和業務流程外包 (BPO) 公司為提高營運效率而大規模、快速地採用人工智慧-機器人流程自動化 (AI-RPA) 技術，以及區域系統整合商生態系統的發展，加速了各行業企業自動化專案的實施。

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）
  • 區域細分
    • 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
  • 成長動力、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
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球機器人流程自動化 (RPA) 市場：按工具類型分類

  • 有人駕駛人工智慧-機器人
  • 無人人工智慧/RPA機器人
  • 混合型人工智慧-RPA機器人
  • 智慧型文件處理（IDP）機器人
  • 互動式人工智慧聊天機器人 - RPA機器人
  • 流程發現與挖掘機器人
  • 人工智慧驅動的測試自動化機器人

第6章：全球機器人流程自動化（RPA）市場：依組件分類

  • 硬體
  • 軟體平台
  • 服務

第7章 全球機器人流程自動化 (RPA) 市場：依方法分類

  • 自然語言處理 (NLP) / 自然語言理解
  • 電腦視覺和光學字元辨識（OCR）
  • 機器學習和流程最佳化
  • 流程挖掘/任務挖掘
  • 人工智慧世代

第8章 全球機器人流程自動化 (RPA) 市場：按應用分類

  • 財務和會計自動化
  • 人力資源和薪資自動化
  • 客戶服務和支援的自動化
  • 供應鏈和採購自動化
  • IT維運與服務台自動化
  • 審計和監管報告
  • 醫療計費和收入週期的自動化

第9章：全球機器人流程自動化（RPA）市場：依最終用戶分類

  • 銀行、金融服務和保險（BFSI）
  • 衛生保健
  • 電子商務公司
  • 工業公司
  • 電信業者

第10章：全球機器人流程自動化（RPA）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、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
  • 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.