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市場調查報告書
商品編碼
2102687

RPA和超自動化市場預測至2034年－按組件、部署模式、技術、企業規模、應用、最終用戶和地區分類的全球分析

RPA and Hyperautomation Market Forecasts to 2034 - Global Analysis By Component (Software and Services), Deployment Mode, Technology, Enterprise 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 的數據，全球 RPA 和超自動化市場預計將在 2026 年達到 368 億美元，到 2034 年達到 1,368 億美元，在預測期內以 17.8% 的複合年成長率成長。

RPA 和超自動化是實現業務流程自動化的綜合方法，它們結合了機器人流程自動化 (RPA)、人工智慧 (AI)、機器學習、流程挖掘和智慧文件處理等技術。超自動化超越了基本的 RPA，它整合了多種自動化技術，能夠自動化財務、人力資源、客戶服務和 IT 營運等各個環節的複雜端到端業務流程。因此，RPA 和超自動化能夠提升整個組織的效率、敏捷性和競爭力，同時確保最佳的流程自動化和創新標準。

對營運效率和成本降低的需求日益成長

對營運效率和成本降低日益成長的需求是RPA和超自動化市場的主要驅動力。企業面臨著以更少的資源實現更多目標的壓力，並尋求透過自動化重複性的、基於規則的任務來降低人事費用並提高生產力。 RPA和超自動化使企業能夠簡化工作流程、消除人為錯誤並加快流程執行速度。跨多個系統和功能實現端到端流程自動化的能力顯著提升了營運效率。在充滿挑戰的經濟環境下，隨著企業努力最佳化營運並保持競爭力，對自動化的投資持續成長。自動化舉措帶來的可觀投資報酬率正在推動各行各業、各種規模的企業市場持續成長。

與舊有系統整合相關的挑戰

與舊有系統和複雜IT環境整合的挑戰是RPA和超自動化市場面臨的主要限制因素。許多組織經營著各種各樣且往往過時的系統，這些系統缺乏最新的API和整合功能，使得自動化部署變得複雜。將RPA機器人和自動化平台連接到舊有應用程式需要客製化連接器、螢幕擷取以及謹慎處理系統間互動。組織在跨異質環境擴展自動化時可能會遇到技術難題。舊有系統的限制會限制自動化舉措的範圍和有效性。這些整合挑戰會導致部署成本增加、進度延誤以及自動化投資的價值有限，從而可能減緩採用進程和市場成長。

與生成式人工智慧和智慧自動化整合

將RPA和超自動化與生成式AI和智慧自動化結合，為市場拓展帶來了巨大的機會。生成式AI透過實現自然語言處理、智慧文件理解和自動內容創建，增強了自動化能力。 AI驅動的機器人能夠處理傳統RPA無法完成的更複雜、更非結構化的任務。自動化與AI的結合，實現了持續改進、智慧化和適應性強的自動化。隨著企業不斷追求日益複雜的流程自動化，對生成式AI驅動的自動化解決方案的需求持續成長。這一趨勢為提供全面智慧自動化平台的供應商創造了巨大的商機。

安全和合規風險

安全和合規風險對RPA和超自動化市場構成重大威脅。由於自動化機器人處理敏感資料並存取關鍵系統，如果管理不當，可能會造成潛在的安全漏洞。企業必須確保其自動化流程符合資料保護條例，包括GDPR、HIPAA和特定產業標準。機器人憑證安全措施不足、存取控制不力以及審計追蹤不完整都可能導致合規性漏洞。企業在監控和管治分散式環境中的自動化活動方面面臨挑戰。與自動化相關的安全事件會損害信任並阻礙其應用。這些安全和合規要求使自動化部署更加複雜，並需要持續投資於管治和控制結構。

新型冠狀病毒（COVID-19）的影響：

新冠疫情大大加速了RPA和超自動化技術的應用，因為企業迫切需要實現營運數位化，並在封鎖期間維持業務永續營運。遠距辦公的興起立即催生了對自動化的需求，以應對日益成長的數位化工作負載，並取代需要現場操作的人工流程。企業迅速部署RPA，實現了發票處理、客戶服務和人力資源營運的自動化。這場危機凸顯了自動化在提升營運韌性和快速適應能力方面的價值。這些經驗產生了深遠的影響，推動了企業對RPA和超自動化技術的持續投資，因為企業將數位轉型、效率提升和業務永續營運能力列為優先事項。

在預測期內，軟體領域預計將佔據最大的市場佔有率。

軟體領域佔據了最大的銷售佔有率，因為RPA平台、超自動化工具和AI/分析軟體在實現自動化能力方面發揮著至關重要的作用。企業需要強大的軟體解決方案來設計、部署和管理各種流程的自動化。隨著自動化舉措變得日益複雜，對綜合平台功能的需求也不斷成長。隨著企業自動化專案的擴展，對軟體解決方案的投資也持續成長。軟體領域憑藉著能夠滿足各種自動化需求的創新平台，佔據了主導地位。

預計在預測期內，雲端運算領域將呈現最高的複合年成長率。

由於其可擴展性、易用性和與雲端原生AI服務的整合，基於雲端的RPA和超自動化解決方案正經歷最快的成長。越來越多的企業傾向於採用雲端技術，以降低基礎設施成本、實現彈性擴展並充分利用雲端供應商的AI功能。雲端平台提供整合的自動化服務，簡化了部署和管理。訂閱模式讓不同規模的企業更輕鬆地使用雲端自動化。隨著企業採用雲端優先策略並需要快速部署自動化，對雲端原生解決方案的需求持續成長，推動了該領域的快速擴張。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於主要自動化供應商的集中、企業對自動化的大量投資以及各行業的早期採用。領先的科技公司和成熟的自動化生態系統為RPA和超自動化解決方案的創新和應用提供了支援。企業對自動化的大量投資、強大的技術基礎設施以及重視創新的企業文化，鞏固了該地區的領先地位。此外，積極推動數位轉型和提升營運效率的措施也進一步推動了北美自動化市場的成長。

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，這主要得益於快速的數位轉型、不斷擴大的自動化投入以及主要經濟體對營運效率日益成長的關注。中國、印度、日本和澳洲等國家正在大力投資自動化技術和數位基礎設施，催生了對RPA和超自動化解決方案的需求。該地區大規模的企業基礎、不斷成長的技術人才以及對自動化優勢日益增強的認知，都推動了市場成長。不斷上漲的人事費用和確保競爭優勢的需求，也進一步推動了該地區自動化技術的應用。

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
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球RPA和超自動化市場：按組件分類

  • 軟體
    • RPA軟體
    • 超自動化平台
    • 流程發現與挖掘軟體
    • 人工智慧分析軟體
  • 服務
    • 諮詢
    • 實施與整合
    • 培訓和支持
    • 託管服務

第6章 全球RPA與超自動化市場：依部署模式分類

  • 雲
  • 現場
  • 混合

第7章 全球RPA與超自動化市場：依技術分類

  • 機器人流程自動化 (RPA)
  • 人工智慧（AI）
  • 機器學習（ML）
  • 智慧型文檔處理（IDP）
  • 流程挖掘
  • 任務挖掘
  • 業務流程管理（BPM）
  • 低程式碼/無程式碼開發
  • 智慧業務流程管理套件

第8章 全球RPA與超自動化市場：依企業規模分類

  • 大公司
  • 中小企業

第9章 全球RPA與超自動化市場：依業務職能分類

  • 財會
  • 人力資源
  • 客戶服務與支援
  • 銷售與行銷
  • 供應鏈與採購
  • IT營運
  • 法律與合規
  • 營運管理

第10章 全球RPA和超自動化市場：按最終用戶分類

  • 銀行、金融服務和保險（BFSI）
  • 醫療保健和生命科學
  • 製造業
  • 零售與電子商務
  • IT/通訊
  • 政府/公共部門
  • 運輸/物流
  • 能源公用事業
  • 媒體與娛樂

第11章 全球RPA和超自動化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12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13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • UiPath Inc.
  • Automation Anywhere, Inc.
  • SS&C Blue Prism
  • Microsoft Corporation
  • IBM Corporation
  • Pegasystems Inc.
  • Appian Corporation
  • SAP SE
  • Oracle Corporation
  • ServiceNow, Inc.
  • Salesforce, Inc.
  • NICE Ltd.
  • Tungsten Automation Corporation
  • ABBYY
  • WorkFusion, Inc.
Product Code: SMRC38389

According to Stratistics MRC, the Global RPA and Hyperautomation Market is accounted for $36.8 billion in 2026 and is expected to reach $136.8 billion by 2034, growing at a CAGR of 17.8% during the forecast period. RPA and Hyperautomation represent a comprehensive approach to automating business processes using a combination of robotic process automation, artificial intelligence, machine learning, process mining, and intelligent document processing. Hyperautomation extends beyond basic RPA by integrating multiple automation technologies to automate complex, end-to-end business processes across finance, HR, customer service, and IT operations.As a result, RPA and hyperautomation enhance overall organizational efficiency, agility, and competitiveness while ensuring optimal process automation and innovation standards.

Market Dynamics:

Driver:

Increasing demand for operational efficiency and cost reduction

The growing demand for operational efficiency and cost reduction serves as a primary driver for the RPA and Hyperautomation market. Organizations face pressure to do more with less, automating repetitive, rule-based tasks to reduce labor costs and improve productivity. RPA and hyperautomation enable organizations to streamline workflows, eliminate manual errors, and accelerate process execution. The ability to automate end-to-end processes across multiple systems and functions delivers significant operational improvements. As organizations seek to optimize operations and maintain competitiveness in challenging economic environments, investment in automation continues to grow. The compelling ROI from automation initiatives drives sustained market expansion across all industry sectors and organization sizes.

Restraint:

Integration challenges with legacy systems

Integration challenges with legacy systems and complex IT environments pose significant restraints to the RPA and Hyperautomation market. Many organizations operate with diverse, often outdated systems that lack modern APIs and integration capabilities, complicating automation deployments. Connecting RPA bots and automation platforms with legacy applications requires custom connectors, screen scraping, and careful handling of system interactions. Organizations may face technical hurdles in scaling automation across heterogeneous environments. Legacy system limitations can constrain the scope and effectiveness of automation initiatives. These integration challenges can increase implementation costs, extend timelines, and limit the value realized from automation investments, potentially slowing adoption and market growth.

Opportunity:

Integration with generative AI and intelligent automation

The integration of RPA and hyperautomation with generative AI and intelligent automation presents significant opportunities for market expansion. Generative AI enhances automation capabilities by enabling natural language processing, intelligent document understanding, and automated content creation. AI-powered bots can handle more complex, unstructured tasks that traditional RPA cannot address. The combination of automation with AI creates intelligent, adaptive automation that continuously improves. As organizations seek to automate increasingly sophisticated processes, the demand for generative AI-enhanced automation solutions continues to grow. This trend is creating substantial opportunities for vendors offering comprehensive intelligent automation platforms.

Threat:

Security and compliance risks

Security and compliance risks pose significant threats to the RPA and Hyperautomation market. Automation bots handle sensitive data and access critical systems, creating potential security vulnerabilities if not properly managed. Organizations must ensure that automation processes comply with data protection regulations including GDPR, HIPAA, and industry-specific standards. Insecure bot credentials, inadequate access controls, and insufficient audit trails can create compliance gaps. Organizations face challenges in monitoring and governing automation activities across distributed environments. Security incidents involving automation could damage trust and deter adoption. These security and compliance requirements add complexity to automation deployments and require ongoing investment in governance and controls.

Covid-19 Impact:

The COVID-19 pandemic dramatically accelerated the adoption of RPA and hyperautomation as organizations urgently needed to digitize operations and maintain business continuity during lockdowns. The shift to remote work created immediate demand for automation to handle increased digital workloads and replace manual processes requiring physical presence. Organizations quickly deployed RPA to automate invoice processing, customer service, and HR operations. The crisis demonstrated the value of automation in enabling operational resilience and rapid adaptation. These experiences have had lasting effects, driving sustained investment in RPA and hyperautomation as organizations prioritize digital transformation, efficiency, and business continuity capabilities.

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

The software segment held the largest revenue share due to the essential role of RPA platforms, hyperautomation tools, and AI/analytics software in enabling automation capabilities. Organizations require robust software solutions to design, deploy, and manage automation across diverse processes. The increasing complexity of automation initiatives drives demand for comprehensive platform capabilities. As organizations scale their automation programs, investment in software solutions continues to increase. The software segment leads with innovative platforms that address the full spectrum of automation requirements.

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

Cloud-based RPA and hyperautomation solutions are experiencing the highest growth due to their scalability, accessibility, and integration with cloud-native AI services. Organizations increasingly prefer cloud deployment to reduce infrastructure costs, enable elastic scaling, and leverage cloud provider AI capabilities. Cloud platforms provide integrated automation services that simplify deployment and management. The subscription-based model makes cloud automation more accessible for organizations of varying sizes. As organizations embrace cloud-first strategies and seek to deploy automation rapidly, the demand for cloud-native solutions continues to accelerate, driving this segment's rapid expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by the concentration of leading automation vendors, substantial enterprise automation investments, and early adoption across industries. The presence of major technology companies and a mature automation ecosystem supports innovation and deployment of RPA and hyperautomation solutions. Significant enterprise automation spending, robust technology infrastructure, and a culture of innovation contribute to the region's dominance. Additionally, the proactive approach to digital transformation and operational efficiency further fuels automation market growth in North America.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digital transformation, expanding automation initiatives, and the growing focus on operational efficiency across major economies. Countries such as China, India, Japan, and Australia are heavily investing in automation technologies and digital infrastructure, creating demand for RPA and hyperautomation solutions. The region's large enterprise base, expanding technology workforce, and increasing awareness of automation benefits contribute to market growth. Rising labor costs and the need for competitive advantage further drive automation adoption in the region.

Key players in the market

Some of the key players in the RPA and Hyperautomation Market include UiPath Inc., Automation Anywhere Inc., SS&C Blue Prism, Microsoft Corporation, IBM Corporation, Pegasystems Inc., Appian Corporation, SAP SE, Oracle Corporation, ServiceNow Inc., Salesforce Inc., NICE Ltd., Tungsten Automation Corporation, ABBYY, and WorkFusion Inc.

Key Developments:

In February 2025, UiPath announced the launch of a new hyperautomation platform featuring enhanced generative AI integration and improved process discovery capabilities. The platform leverages AI to automate complex, end-to-end business processes with intelligent document processing and natural language understanding.

In November 2024, Microsoft introduced significant enhancements to its Power Automate platform with expanded AI capabilities and improved integration with enterprise systems. The enhancements include generative AI-powered automation, enhanced process mining, and seamless integration with Microsoft 365 and Dynamics 365.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud
  • On-Premises
  • Hybrid

Technologies Covered:

  • Robotic Process Automation (RPA)
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Intelligent Document Processing (IDP)
  • Process Mining
  • Task Mining
  • Business Process Management (BPM)
  • Low-Code/No-Code Development
  • Intelligent Business Process Management Suites

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Business Functions Covered:

  • Finance & Accounting
  • Human Resources
  • Customer Service & Support
  • Sales & Marketing
  • Supply Chain & Procurement
  • IT Operations
  • Legal & Compliance
  • Operations Management

End Users Covered:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Manufacturing
  • Retail & E-commerce
  • IT & Telecommunications
  • Government & Public Sector
  • Transportation & Logistics
  • Energy & Utilities
  • Media & Entertainment

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 RPA and Hyperautomation Market, By Component

  • 5.1 Software
    • 5.1.1 RPA Software
    • 5.1.2 Hyperautomation Platforms
    • 5.1.3 Process Discovery & Mining Software
    • 5.1.4 AI & Analytics Software
  • 5.2 Services
    • 5.2.1 Consulting
    • 5.2.2 Implementation & Integration
    • 5.2.3 Training & Support
    • 5.2.4 Managed Services

6 Global RPA and Hyperautomation Market, By Deployment Mode

  • 6.1 Cloud
  • 6.2 On-premises
  • 6.3 Hybrid

7 Global RPA and Hyperautomation Market, By Technology

  • 7.1 Robotic Process Automation (RPA)
  • 7.2 Artificial Intelligence (AI)
  • 7.3 Machine Learning (ML)
  • 7.4 Intelligent Document Processing (IDP)
  • 7.5 Process Mining
  • 7.6 Task Mining
  • 7.7 Business Process Management (BPM)
  • 7.8 Low-Code/No-Code Development
  • 7.9 Intelligent Business Process Management Suites

8 Global RPA and Hyperautomation Market, By Enterprise Size

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

9 Global RPA and Hyperautomation Market, By Business Function

  • 9.1 Finance & Accounting
  • 9.2 Human Resources
  • 9.3 Customer Service & Support
  • 9.4 Sales & Marketing
  • 9.5 Supply Chain & Procurement
  • 9.6 IT Operations
  • 9.7 Legal & Compliance
  • 9.8 Operations Management

10 Global RPA and Hyperautomation Market, By End User

  • 10.1 Banking, Financial Services & Insurance (BFSI)
  • 10.2 Healthcare & Life Sciences
  • 10.3 Manufacturing
  • 10.4 Retail & E-commerce
  • 10.5 IT & Telecommunications
  • 10.6 Government & Public Sector
  • 10.7 Transportation & Logistics
  • 10.8 Energy & Utilities
  • 10.9 Media & Entertainment

11 Global RPA and Hyperautomation Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 UiPath Inc.
  • 14.2 Automation Anywhere, Inc.
  • 14.3 SS&C Blue Prism
  • 14.4 Microsoft Corporation
  • 14.5 IBM Corporation
  • 14.6 Pegasystems Inc.
  • 14.7 Appian Corporation
  • 14.8 SAP SE
  • 14.9 Oracle Corporation
  • 14.10 ServiceNow, Inc.
  • 14.11 Salesforce, Inc.
  • 14.12 NICE Ltd.
  • 14.13 Tungsten Automation Corporation
  • 14.14 ABBYY
  • 14.15 WorkFusion, Inc.

List of Tables

  • Table 1 Global RPA and Hyperautomation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global RPA and Hyperautomation Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global RPA and Hyperautomation Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global RPA and Hyperautomation Market Outlook, By RPA Software (2023-2034) ($MN)
  • Table 5 Global RPA and Hyperautomation Market Outlook, By Hyperautomation Platforms (2023-2034) ($MN)
  • Table 6 Global RPA and Hyperautomation Market Outlook, By Process Discovery & Mining Software (2023-2034) ($MN)
  • Table 7 Global RPA and Hyperautomation Market Outlook, By AI & Analytics Software (2023-2034) ($MN)
  • Table 8 Global RPA and Hyperautomation Market Outlook, By Services (2023-2034) ($MN)
  • Table 9 Global RPA and Hyperautomation Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 10 Global RPA and Hyperautomation Market Outlook, By Implementation & Integration (2023-2034) ($MN)
  • Table 11 Global RPA and Hyperautomation Market Outlook, By Training & Support (2023-2034) ($MN)
  • Table 12 Global RPA and Hyperautomation Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 13 Global RPA and Hyperautomation Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 14 Global RPA and Hyperautomation Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 15 Global RPA and Hyperautomation Market Outlook, By On-premises (2023-2034) ($MN)
  • Table 16 Global RPA and Hyperautomation Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 17 Global RPA and Hyperautomation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 18 Global RPA and Hyperautomation Market Outlook, By Robotic Process Automation (RPA) (2023-2034) ($MN)
  • Table 19 Global RPA and Hyperautomation Market Outlook, By Artificial Intelligence (AI) (2023-2034) ($MN)
  • Table 20 Global RPA and Hyperautomation Market Outlook, By Machine Learning (ML) (2023-2034) ($MN)
  • Table 21 Global RPA and Hyperautomation Market Outlook, By Intelligent Document Processing (IDP) (2023-2034) ($MN)
  • Table 22 Global RPA and Hyperautomation Market Outlook, By Process Mining (2023-2034) ($MN)
  • Table 23 Global RPA and Hyperautomation Market Outlook, By Task Mining (2023-2034) ($MN)
  • Table 24 Global RPA and Hyperautomation Market Outlook, By Business Process Management (BPM) (2023-2034) ($MN)
  • Table 25 Global RPA and Hyperautomation Market Outlook, By Low-Code/No-Code Development (2023-2034) ($MN)
  • Table 26 Global RPA and Hyperautomation Market Outlook, By Intelligent Business Process Management Suites (2023-2034) ($MN)
  • Table 27 Global RPA and Hyperautomation Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 28 Global RPA and Hyperautomation Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 29 Global RPA and Hyperautomation Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
  • Table 30 Global RPA and Hyperautomation Market Outlook, By Business Function (2023-2034) ($MN)
  • Table 31 Global RPA and Hyperautomation Market Outlook, By Finance & Accounting (2023-2034) ($MN)
  • Table 32 Global RPA and Hyperautomation Market Outlook, By Human Resources (2023-2034) ($MN)
  • Table 33 Global RPA and Hyperautomation Market Outlook, By Customer Service & Support (2023-2034) ($MN)
  • Table 34 Global RPA and Hyperautomation Market Outlook, By Sales & Marketing (2023-2034) ($MN)
  • Table 35 Global RPA and Hyperautomation Market Outlook, By Supply Chain & Procurement (2023-2034) ($MN)
  • Table 36 Global RPA and Hyperautomation Market Outlook, By IT Operations (2023-2034) ($MN)
  • Table 37 Global RPA and Hyperautomation Market Outlook, By Legal & Compliance (2023-2034) ($MN)
  • Table 38 Global RPA and Hyperautomation Market Outlook, By Operations Management (2023-2034) ($MN)
  • Table 39 Global RPA and Hyperautomation Market Outlook, By End User (2023-2034) ($MN)
  • Table 40 Global RPA and Hyperautomation Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2023-2034) ($MN)
  • Table 41 Global RPA and Hyperautomation Market Outlook, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 42 Global RPA and Hyperautomation Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 43 Global RPA and Hyperautomation Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 44 Global RPA and Hyperautomation Market Outlook, By IT & Telecommunications (2023-2034) ($MN)
  • Table 45 Global RPA and Hyperautomation Market Outlook, By Government & Public Sector (2023-2034) ($MN)
  • Table 46 Global RPA and Hyperautomation Market Outlook, By Transportation & Logistics (2023-2034) ($MN)
  • Table 47 Global RPA and Hyperautomation Market Outlook, By Energy & Utilities (2023-2034) ($MN)
  • Table 48 Global RPA and Hyperautomation Market Outlook, By Media & Entertainment (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.