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LAMEA 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

  • 182 Pages
  • October 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025647
The Latin America, Middle East and Africa AI-Driven Hyperautomation Market is expected to witness market growth of 22.3% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA 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 $3.20 billion by 2031. The Argentina market is capturing a CAGR of 24% during 2024-2031. Additionally, the UAE market would witness a CAGR of 21.2% during 2024-2031.



Beyond efficiency and productivity gains, AI-driven hyperautomation is critical in enhancing customer experiences. With businesses constantly looking to deliver more personalized and seamless interactions, AI-powered automation has become a key enabler of this transformation. AI-driven chatbots, for instance, can engage customers 24/7, addressing inquiries and resolving issues quickly and efficiently. These intelligent virtual assistants can handle routine customer queries, provide product recommendations, and even resolve complaints without human intervention.

Additionally, AI-powered systems are able to apply data analysis to uncover trends and preferences in consumer data. This enables organizations to give tailored services and targeted marketing efforts to their customers. As the demand for rapid gratification increases and customer expectations evolve, hyperautomation offers businesses the ability to meet these expectations while simultaneously optimizing operational efficiency and reducing costs.

In Saudi Arabia, the government is making substantial investments in digital infrastructure. It has set clear objectives to boost the adoption of automation technologies across various sectors, including oil and gas, healthcare, and education. The Saudi Data and Artificial Intelligence Authority (SDAIA) establishment aims to promote the effective use of data and AI technologies, thereby facilitating the integration of hyperautomation solutions in businesses.

Hyperautomation is becoming more pertinent in the Saudi market as organizations endeavor to enhance efficiency and decrease their dependence on conventional methods. Consequently, the demand for AI-driven hyperautomation will persist in its upward trajectory, establishing LAMEA as a burgeoning market for innovative automation technologies as businesses strive to enhance operational efficiency and adjust to evolving market conditions.

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

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

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 Asia Pacific AI-Driven Hyperautomation Market, by Component
1.4.2 Asia Pacific AI-Driven Hyperautomation Market, by Enterprise Size
1.4.3 Asia Pacific AI-Driven Hyperautomation Market, by Technology
1.4.4 Asia Pacific AI-Driven Hyperautomation Market, by Function
1.4.5 Asia Pacific 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. Asia Pacific AI-Driven Hyperautomation Market by Component
5.1 Asia Pacific Solutions Market by Country
5.2 Asia Pacific Services Market by Country
5.3 Asia Pacific AI-Driven Hyperautomation Market by Services Type
5.3.1 Asia Pacific Professional Services Market by Country
5.3.2 Asia Pacific Managed Service Market by Country
Chapter 6. Asia Pacific AI-Driven Hyperautomation Market by Enterprise Size
6.1 Asia Pacific Large Enterprises Market by Country
6.2 Asia Pacific Small & Medium-Sized Enterprises (SMEs) Market by Country
Chapter 7. Asia Pacific AI-Driven Hyperautomation Market by Technology
7.1 Asia Pacific Robotic Process Automation (RPA) Market by Country
7.2 Asia Pacific Machine Learning (ML) Market by Country
7.3 Asia Pacific Natural Language Processing (NLP) Market by Country
7.4 Asia Pacific AI & Cognitive Computing Market by Country
7.5 Asia Pacific Intelligent Document Processing (IDP) Market by Country
7.6 Asia Pacific Business Process Management (BPM) Market by Country
7.7 Asia Pacific Other Technology Market by Country
Chapter 8. Asia Pacific AI-Driven Hyperautomation Market by Function
8.1 Asia Pacific Process Automation Market by Country
8.2 Asia Pacific Data Analytics & Insights Market by Country
8.3 Asia Pacific Customer Service Automation Market by Country
8.4 Asia Pacific IT Operations Automation (ITOps) Market by Country
8.5 Asia Pacific Business Process Management & Optimization Market by Country
8.6 Asia Pacific Document Processing Automation Market by Country
8.7 Asia Pacific Other Function Market by Country
Chapter 9. Asia Pacific AI-Driven Hyperautomation Market by Country
9.1 China AI-Driven Hyperautomation Market
9.1.1 China AI-Driven Hyperautomation Market by Component
9.1.1.1 China AI-Driven Hyperautomation Market by Services Type
9.1.2 China AI-Driven Hyperautomation Market by Enterprise Size
9.1.3 China AI-Driven Hyperautomation Market by Technology
9.1.4 China AI-Driven Hyperautomation Market by Function
9.2 Japan AI-Driven Hyperautomation Market
9.2.1 Japan AI-Driven Hyperautomation Market by Component
9.2.1.1 Japan AI-Driven Hyperautomation Market by Services Type
9.2.2 Japan AI-Driven Hyperautomation Market by Enterprise Size
9.2.3 Japan AI-Driven Hyperautomation Market by Technology
9.2.4 Japan AI-Driven Hyperautomation Market by Function
9.3 India AI-Driven Hyperautomation Market
9.3.1 India AI-Driven Hyperautomation Market by Component
9.3.1.1 India AI-Driven Hyperautomation Market by Services Type
9.3.2 India AI-Driven Hyperautomation Market by Enterprise Size
9.3.3 India AI-Driven Hyperautomation Market by Technology
9.3.4 India AI-Driven Hyperautomation Market by Function
9.4 South Korea AI-Driven Hyperautomation Market
9.4.1 South Korea AI-Driven Hyperautomation Market by Component
9.4.1.1 South Korea AI-Driven Hyperautomation Market by Services Type
9.4.2 South Korea AI-Driven Hyperautomation Market by Enterprise Size
9.4.3 South Korea AI-Driven Hyperautomation Market by Technology
9.4.4 South Korea AI-Driven Hyperautomation Market by Function
9.5 Australia AI-Driven Hyperautomation Market
9.5.1 Australia AI-Driven Hyperautomation Market by Component
9.5.1.1 Australia AI-Driven Hyperautomation Market by Services Type
9.5.2 Australia AI-Driven Hyperautomation Market by Enterprise Size
9.5.3 Australia AI-Driven Hyperautomation Market by Technology
9.5.4 Australia AI-Driven Hyperautomation Market by Function
9.6 Malaysia AI-Driven Hyperautomation Market
9.6.1 Malaysia AI-Driven Hyperautomation Market by Component
9.6.1.1 Malaysia AI-Driven Hyperautomation Market by Services Type
9.6.2 Malaysia AI-Driven Hyperautomation Market by Enterprise Size
9.6.3 Malaysia AI-Driven Hyperautomation Market by Technology
9.6.4 Malaysia AI-Driven Hyperautomation Market by Function
9.7 Rest of Asia Pacific AI-Driven Hyperautomation Market
9.7.1 Rest of Asia Pacific AI-Driven Hyperautomation Market by Component
9.7.1.1 Rest of Asia Pacific AI-Driven Hyperautomation Market by Services Type
9.7.2 Rest of Asia Pacific AI-Driven Hyperautomation Market by Enterprise Size
9.7.3 Rest of Asia Pacific AI-Driven Hyperautomation Market by Technology
9.7.4 Rest of Asia Pacific 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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