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Asia-Pacific AI-Driven Hyperautomation Market Size, Share & Trends Analysis Report By Component, By Enterprise Size, By Technology, By Function, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 160 Pages
  • October 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025740
The Asia Pacific AI-Driven Hyperautomation Market is expected to witness market growth of 20.4% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific AI-Driven Hyperautomation Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $11.31 billion by 2031. The Japan market is capturing a CAGR of 19.6% during 2024-2031. Additionally, the India market would register a CAGR of 21.2% during 2024-2031.



As AI technology advances, its integration into automation processes has become more sophisticated, enabling businesses to automate more complex tasks requiring decision-making, predictive analytics, and cognitive functions. Traditional automation solutions, such as RPA, are limited in scope as they primarily focus on automating repetitive, rule-based tasks.

Conversely, AI allows hyperautomation systems to handle dynamic, data-driven tasks, such as analyzing vast amounts of data, identifying patterns, making recommendations, and predicting outcomes. This advanced level of automation profoundly impacts industries like manufacturing, where AI-driven hyperautomation can optimize production lines, predict maintenance needs, and improve supply chain management. Similarly, in the retail industry, AI-driven hyperautomation allows businesses to personalize customer experiences, optimize inventory management, and enhance product recommendations by analyzing customer behavior in real-time.

Smart city initiatives in the region, such as Singapore's Smart Nation project, are further propelling demand for automation solutions. Singapore's Infocomm Media Development Authority (IMDA) has committed to investing heavily in AI and edge computing technologies to support this vision. These efforts aim to improve urban living through intelligent data processing, real-time analytics, and efficient management of public services. Therefore, with its large population and expanding consumer base, the region is poised to play a pivotal role in the global growth of AI-driven hyperautomation as businesses and governments seek to optimize operations and enhance customer experiences.

Based on Component, the market is segmented into Solutions and Services (Professional Services and Managed Service). Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises (SMEs). Based on Technology, the market is segmented into Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP), AI & Cognitive Computing, Intelligent Document Processing (IDP), Business Process Management (BPM), and Other Technology.

List of Key Companies Profiled

  • UiPath, Inc.
  • Automation Anywhere, Inc.
  • Blue Prism Group PLC (SS&C Technologies Holdings, Inc.)
  • Wipro Limited
  • Honeywell International, Inc.
  • Tata Consultancy Services Ltd.
  • Mitsubishi Electric Corporation
  • Microsoft Corporation
  • Google LLC
  • NVIDIA Corporation

Market Report Segmentation

By Component

  • Solutions
  • Services
  • Professional Services
  • Managed Service

By Enterprise Size

  • Large Enterprises
  • Small & Medium-Sized Enterprises (SMEs)

By Technology

  • Robotic Process Automation (RPA)
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • AI & Cognitive Computing
  • Intelligent Document Processing (IDP)
  • Business Process Management (BPM)
  • Other Technology

By Function

  • Process Automation
  • Data Analytics & Insights
  • Customer Service Automation
  • IT Operations Automation (ITOps)
  • Business Process Management & Optimization
  • Document Processing Automation
  • Other Function

By Country

  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America AI-Driven Hyperautomation Market, by Component
1.4.2 North America AI-Driven Hyperautomation Market, by Enterprise Size
1.4.3 North America AI-Driven Hyperautomation Market, by Technology
1.4.4 North America AI-Driven Hyperautomation Market, by Function
1.4.5 North America AI-Driven Hyperautomation Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.2.4 Geographical Expansion
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Dec - 2024, Sep) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. North America AI-Driven Hyperautomation Market by Component
5.1 North America Solutions Market by Region
5.2 North America Services Market by Region
5.3 North America AI-Driven Hyperautomation Market by Services Type
5.3.1 North America Professional Services Market by Country
5.3.2 North America Managed Service Market by Country
Chapter 6. North America AI-Driven Hyperautomation Market by Enterprise Size
6.1 North America Large Enterprises Market by Country
6.2 North America Small & Medium-Sized Enterprises (SMEs) Market by Country
Chapter 7. North America AI-Driven Hyperautomation Market by Technology
7.1 North America Robotic Process Automation (RPA) Market by Country
7.2 North America Machine Learning (ML) Market by Country
7.3 North America Natural Language Processing (NLP) Market by Country
7.4 North America AI & Cognitive Computing Market by Country
7.5 North America Intelligent Document Processing (IDP) Market by Country
7.6 North America Business Process Management (BPM) Market by Country
7.7 North America Other Technology Market by Country
Chapter 8. North America AI-Driven Hyperautomation Market by Function
8.1 North America Process Automation Market by Country
8.2 North America Data Analytics & Insights Market by Country
8.3 North America Customer Service Automation Market by Country
8.4 North America IT Operations Automation (ITOps) Market by Country
8.5 North America Business Process Management & Optimization Market by Country
8.6 North America Document Processing Automation Market by Country
8.7 North America Other Function Market by Country
Chapter 9. North America AI-Driven Hyperautomation Market by Country
9.1 US AI-Driven Hyperautomation Market
9.1.1 US AI-Driven Hyperautomation Market by Component
9.1.1.1 US AI-Driven Hyperautomation Market by Services Type
9.1.2 US AI-Driven Hyperautomation Market by Enterprise Size
9.1.3 US AI-Driven Hyperautomation Market by Technology
9.1.4 US AI-Driven Hyperautomation Market by Function
9.2 Canada AI-Driven Hyperautomation Market
9.2.1 Canada AI-Driven Hyperautomation Market by Component
9.2.1.1 Canada AI-Driven Hyperautomation Market by Services Type
9.2.2 Canada AI-Driven Hyperautomation Market by Enterprise Size
9.2.3 Canada AI-Driven Hyperautomation Market by Technology
9.2.4 Canada AI-Driven Hyperautomation Market by Function
9.3 Mexico AI-Driven Hyperautomation Market
9.3.1 Mexico AI-Driven Hyperautomation Market by Component
9.3.1.1 Mexico AI-Driven Hyperautomation Market by Services Type
9.3.2 Mexico AI-Driven Hyperautomation Market by Enterprise Size
9.3.3 Mexico AI-Driven Hyperautomation Market by Technology
9.3.4 Mexico AI-Driven Hyperautomation Market by Function
9.4 Rest of North America AI-Driven Hyperautomation Market
9.4.1 Rest of North America AI-Driven Hyperautomation Market by Component
9.4.1.1 Rest of North America AI-Driven Hyperautomation Market by Services Type
9.4.2 Rest of North America AI-Driven Hyperautomation Market by Enterprise Size
9.4.3 Rest of North America AI-Driven Hyperautomation Market by Technology
9.4.4 Rest of North America AI-Driven Hyperautomation Market by Function
Chapter 10. Company Profiles
10.1 UiPath, Inc.
10.1.1 Company Overview
10.1.2 Recent strategies and developments:
10.1.2.1 Partnerships, Collaborations, and Agreements:
10.1.2.2 Product Launches and Product Expansions:
10.1.3 SWOT Analysis
10.2 Automation Anywhere, Inc.
10.2.1 Company Overview
10.2.2 Recent strategies and developments:
10.2.2.1 Partnerships, Collaborations, and Agreements:
10.2.2.2 Product Launches and Product Expansions:
10.2.2.3 Geographical Expansions:
10.2.3 SWOT Analysis
10.3 Blue Prism Group PLC (SS&C Technologies Holdings, Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.6 SWOT Analysis
10.4 Wipro Limited
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.5.2 Product Launches and Product Expansions:
10.4.5.3 Acquisition and Mergers:
10.4.6 SWOT Analysis
10.5 Honeywell International, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.6 SWOT Analysis
10.6 Tata Consultancy Services Ltd.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.6 SWOT Analysis
10.7 Mitsubishi Electric Corporation
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 SWOT Analysis
10.8 Microsoft Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Product Launches and Product Expansions:
10.8.6 SWOT Analysis
10.9 Google LLC (Alphabet Inc.)
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.6 SWOT Analysis
10.10. NVIDIA Corporation
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expenses
10.10.5 Recent strategies and developments:
10.10.5.1 Partnerships, Collaborations, and Agreements:
10.10.5.2 Product Launches and Product Expansions:
10.10.6 SWOT Analysis

Companies Mentioned

  • UiPath, Inc.
  • Automation Anywhere, Inc.
  • Blue Prism Group PLC (SS&C Technologies Holdings, Inc.)
  • Wipro Limited
  • Honeywell International, Inc.
  • Tata Consultancy Services Ltd.
  • Mitsubishi Electric Corporation
  • Microsoft Corporation
  • Google LLC
  • NVIDIA Corporation

Methodology

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