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LAMEA Enterprise Generative AI Market Size, Share & Trends Analysis Report By Component (Software, and Services), By Model Type, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 169 Pages
  • February 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6056153
The Latin America, Middle East and Africa Enterprise Generative AI Market is expected to witness market growth of 41.3% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA Enterprise Generative AI Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $562.5 million by 2031. The Argentina market is registering a CAGR of 43.3% during 2024-2031. Additionally, the UAE market is expected to showcase a CAGR of 40% during 2024-2031.



Generative design is a process where AI uses algorithms to generate a wide range of design options based on predefined goals and constraints. This has gained traction in the automotive, aerospace, and architecture industries. By generating optimized designs that meet specific requirements (e.g., weight, durability, cost), generative AI allows companies to create products that are more efficient and innovative. Enterprises use generative AI-powered chatbots and virtual assistants to improve customer service by automating responses to customer queries.

Moreover, the adoption of generative AI technologies has been accelerating, with businesses of all sizes and industries embracing its potential. Significant advances in deep learning algorithms, particularly generative adversarial networks (GANs) and transformer models have made it possible for generative AI to produce high-quality outputs. The advent of frameworks such as GPT-3, DALL·E, and Stable Diffusion has dramatically increased the capabilities of generative AI tools, making them viable for enterprise use cases.

The growing adoption of artificial intelligence (AI) in the United Arab Emirates (UAE) and Brazil significantly expands the market. According to the International Trade Administration (ITA), AI spending in Brazil exceeded US$1 billion in 2023, reflecting a remarkable 33% year-over-year increase. This surge underscores the rapid adoption of AI technologies by enterprises seeking to enhance their business processes and improve operational efficiency. The market in Brazil provides a fertile ground for generative AI tools that can automate content generation, enhance customer experiences, and streamline operations.

List of Key Companies Profiled

  • Accenture PLC
  • SAS Institute Inc.
  • Google LLC
  • Salesforce, Inc.
  • Microsoft Corporation
  • Adobe, Inc.
  • OpenAI, LLC
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • SAP SE
  • Oracle Corporation

Market Report Segmentation

By Component

  • Software
  • Services

By Model Type

  • Text
  • Image/Video
  • Code
  • Audio

By Application

  • Marketing & Sales
  • Customer Service
  • Product Development
  • Supply Chain Management
  • Other Application

By Vertical

  • IT & Telecom
  • BFSI
  • Retail & E-commerce
  • Healthcare
  • Manufacturing
  • Media & Entertainment
  • Other Vertical

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 LAMEA Enterprise Generative AI Market, by Component
1.4.2 LAMEA Enterprise Generative AI Market, by Model Type
1.4.3 LAMEA Enterprise Generative AI Market, by Application
1.4.4 LAMEA Enterprise Generative AI Market, by Vertical
1.4.5 LAMEA Enterprise Generative AI 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 The 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
4.3 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 and Agreements: 2023, May - 2024, Aug) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. LAMEA Enterprise Generative AI Market by Component
5.1 LAMEA Software Market by Country
5.2 LAMEA Services Market by Country
Chapter 6. LAMEA Enterprise Generative AI Market by Model Type
6.1 LAMEA Text Market by Country
6.2 LAMEA Image/Video Market by Country
6.3 LAMEA Code Market by Country
6.4 LAMEA Audio Market by Country
Chapter 7. LAMEA Enterprise Generative AI Market by Application
7.1 LAMEA Marketing & Sales Market by Country
7.2 LAMEA Customer Service Market by Country
7.3 LAMEA Product Development Market by Country
7.4 LAMEA Supply Chain Management Market by Country
7.5 LAMEA Other Application Market by Country
Chapter 8. LAMEA Enterprise Generative AI Market by Vertical
8.1 LAMEA IT & Telecom Market by Country
8.2 LAMEA BFSI Market by Country
8.3 LAMEA Retail & E-commerce Market by Country
8.4 LAMEA Healthcare Market by Country
8.5 LAMEA Manufacturing Market by Country
8.6 LAMEA Media & Entertainment Market by Country
8.7 LAMEA Other Vertical Market by Country
Chapter 9. LAMEA Enterprise Generative AI Market by Country
9.1 Brazil Enterprise Generative AI Market
9.1.1 Brazil Enterprise Generative AI Market by Component
9.1.2 Brazil Enterprise Generative AI Market by Model Type
9.1.3 Brazil Enterprise Generative AI Market by Application
9.1.4 Brazil Enterprise Generative AI Market by Vertical
9.2 Argentina Enterprise Generative AI Market
9.2.1 Argentina Enterprise Generative AI Market by Component
9.2.2 Argentina Enterprise Generative AI Market by Model Type
9.2.3 Argentina Enterprise Generative AI Market by Application
9.2.4 Argentina Enterprise Generative AI Market by Vertical
9.3 UAE Enterprise Generative AI Market
9.3.1 UAE Enterprise Generative AI Market by Component
9.3.2 UAE Enterprise Generative AI Market by Model Type
9.3.3 UAE Enterprise Generative AI Market by Application
9.3.4 UAE Enterprise Generative AI Market by Vertical
9.4 Saudi Arabia Enterprise Generative AI Market
9.4.1 Saudi Arabia Enterprise Generative AI Market by Component
9.4.2 Saudi Arabia Enterprise Generative AI Market by Model Type
9.4.3 Saudi Arabia Enterprise Generative AI Market by Application
9.4.4 Saudi Arabia Enterprise Generative AI Market by Vertical
9.5 South Africa Enterprise Generative AI Market
9.5.1 South Africa Enterprise Generative AI Market by Component
9.5.2 South Africa Enterprise Generative AI Market by Model Type
9.5.3 South Africa Enterprise Generative AI Market by Application
9.5.4 South Africa Enterprise Generative AI Market by Vertical
9.6 Nigeria Enterprise Generative AI Market
9.6.1 Nigeria Enterprise Generative AI Market by Component
9.6.2 Nigeria Enterprise Generative AI Market by Model Type
9.6.3 Nigeria Enterprise Generative AI Market by Application
9.6.4 Nigeria Enterprise Generative AI Market by Vertical
9.7 Rest of LAMEA Enterprise Generative AI Market
9.7.1 Rest of LAMEA Enterprise Generative AI Market by Component
9.7.2 Rest of LAMEA Enterprise Generative AI Market by Model Type
9.7.3 Rest of LAMEA Enterprise Generative AI Market by Application
9.7.4 Rest of LAMEA Enterprise Generative AI Market by Vertical
Chapter 10. Company Profiles
10.1 Accenture PLC
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent Strategies and Developments
10.1.5.1 Partnerships, Collaborations, and Agreements
10.1.5.2 Acquisition and Mergers
10.1.6 SWOT Analysis
10.2 SAS Institute, Inc.
10.2.1 Company Overview
10.2.2 SWOT Analysis
10.3 Google LLC (Alphabet Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent Strategies and Developments
10.3.5.1 Partnerships, Collaborations, and Agreements
10.3.5.2 Product Launches and Product Expansions
10.3.6 SWOT Analysis
10.4 Salesforce, Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 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
10.4.6 SWOT Analysis
10.5 Microsoft Corporation
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 Adobe, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 SWOT Analysis
10.7 OpenAI, L.L.C.
10.7.1 Company Overview
10.7.2 SWOT Analysis
10.8 IBM Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional & Segmental 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 NVIDIA Corporation
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 SWOT Analysis
10.10. Intel 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
10.10.6 SWOT Analysis
10.11 Oracle Corporation
10.11.1 Company Overview
10.11.2 Financial Analysis
10.11.3 Segmental and Regional Analysis
10.11.4 Research & Development Expense
10.11.5 Recent Strategies and Developments
10.11.5.1 Partnerships, Collaborations, and Agreements
10.11.5.2 Product Launches and Product Expansions
10.11.6 SWOT Analysis
10.12 SAP SE
10.12.1 Company Overview
10.12.2 Financial Analysis
10.12.3 Regional Analysis
10.12.4 Research & Development Expense
10.12.5 Recent Strategies and Developments
10.12.5.1 Partnerships, Collaborations, and Agreements
10.12.5.2 Product Launches and Product Expansions
10.12.6 SWOT Analysis

Companies Mentioned

  • Accenture PLC
  • SAS Institute Inc.
  • Google LLC
  • Salesforce, Inc.
  • Microsoft Corporation
  • Adobe, Inc.
  • OpenAI, LLC
  • IBM Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • SAP SE
  • Oracle Corporation

Methodology

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