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LAMEA Embedded AI Market Size, Share & Industry Trends Analysis Report By Vertical, By Data Type (Numeric Data, Sensor Data, Image & Video Data, Categorical Data, and Others), By Offering, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 176 Pages
  • July 2023
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5869156
The Latin America, Middle East and Africa Embedded AI Market should witness market growth of 16.2% CAGR during the forecast period (2023-2030).

With embedded AI, devices may run AI models locally and then utilize the outcomes to carry out the necessary tasks or take the required actions. The cloud is still helpful for data storage since data may be briefly kept on a device before being transmitted to a cloud server for backup.

Two developing applications to keep an eye on as embedded AI technology sets include embedding AI capabilities onto customized SoCs and Internet-connected devices, or the Internet of Things (IoT). AI models integrated into SoCs improve the chip's design, cutting down on the number of instructions, power, and computation required. While integrating AI into Internet-connected products may seem like a step in the right direction and a dangerous one at the same time, some businesses, like Google, Siemens, and HPE, have already put their toes in this water.

The "UAE Strategy for Artificial Intelligence" has been unveiled by the UAE government. The surge results from increased investment by UAE governments in cutting-edge technologies, including artificial intelligence (AI), 5G, and machine learning (ML). It is anticipated that adopting such tactics would depend on artificial technologies for improved outcomes. It will decrease accidents and operating costs in the transportation sector while minimizing chronic and deadly illnesses by identifying them in the health sector. The UAE Council for Artificial Intelligence and Blockchain started the establishment of an AI-friendly ecosystem to encourage research in the field and partnerships between the public and commercial sectors to hasten the deployment of AI technology. The government's encouraging stance toward deploying AI would assist expanding the market.

The Brazil market dominated the LAMEA Embedded AI Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $360.2 million by 2030. The Argentina market is showcasing a CAGR of 16.8% during (2023-2030). Additionally, The UAE market would register a CAGR of 15.9% during (2023-2030).

Based on Vertical, the market is segmented into BFSI, Healthcare & Lifesciences, IT & Telecom, Automotive, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing, and Others. Based on Data Type, the market is segmented into Numeric Data, Sensor Data, Image & Video Data, Categorical Data, and Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, AI Accelerators, and Others), Software (Edge Computing Platforms, AI & ML Framework, and AI Middleware & Others), and Services. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet Inc.), IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, Qualcomm, Inc., Salesforce, Inc., Siemens AG and Oracle Corporation.

Scope of the Study

By Vertical

  • BFSI
  • Healthcare & Lifesciences
  • IT & Telecom
  • Automotive
  • Media & Entertainment
  • Energy & Power
  • Transportation & Logistics
  • Government & Defense
  • Manufacturing
  • Others

By Data Type

  • Numeric Data
  • Sensor Data
  • Image & Video Data
  • Categorical Data
  • Others

By Offering

  • Hardware
    • Processors
    • Memory Units
    • AI Accelerators
    • Others
  • Software
    • Edge Computing Platforms
    • AI & ML Framework
    • AI Middleware & Others
  • Services

By Country

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

Key Market Players

List of Companies Profiled in the Report:

  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • NVIDIA Corporation
  • Intel Corporation
  • Qualcomm, Inc.
  • Salesforce, Inc.
  • Siemens AG
  • Oracle Corporation

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

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 Embedded AI Market, by Vertical
1.4.2 LAMEA Embedded AI Market, by Data Type
1.4.3 LAMEA Embedded AI Market, by Offering
1.4.4 LAMEA Embedded AI Market, by Country
1.5 Methodology for the research
Chapter 2. Market At a Glance
2.1 Key Highlight
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
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
4.3 Market Share Analysis, 2021
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2020, Oct - 2023, Jul) Leading Players
4.5 Porter’s Five Forces Analysis
Chapter 5. LAMEA Embedded AI Market by Vertical
5.1 LAMEA BFSI Market by Country
5.2 LAMEA Healthcare & Lifesciences Market by Country
5.3 LAMEA IT & Telecom Market by Country
5.4 LAMEA Automotive Market by Country
5.5 LAMEA Media & Entertainment Market by Country
5.6 LAMEA Energy & Power Market by Country
5.7 LAMEA Transportation & Logistics Market by Country
5.8 LAMEA Government & Defense Market by Country
5.9 LAMEA Manufacturing Market by Country
5.1 LAMEA Others Market by Country
Chapter 6. LAMEA Embedded AI Market by Data Type
6.1 LAMEA Numeric Data Market by Country
6.2 LAMEA Sensor Data Market by Country
6.3 LAMEA Image & Video Data Market by Country
6.4 LAMEA Categorical Data Market by Country
6.5 LAMEA Others Market by Country
Chapter 7. LAMEA Embedded AI Market by Offering
7.1 LAMEA Hardware Market by Country
7.2 LAMEA Embedded AI Market by Hardware Type
7.2.1 LAMEA Processors Market by Country
7.2.2 LAMEA Memory Units Market by Country
7.2.3 LAMEA AI Accelerators Market by Country
7.2.4 LAMEA Others Market by Country
7.3 LAMEA Software Market by Country
7.4 LAMEA Embedded AI Market by Software Type
7.4.1 LAMEA Edge Computing Platforms Market by Country
7.4.2 LAMEA AI & ML Framework Market by Country
7.4.3 LAMEA AI Middleware & Others Market by Country
7.5 LAMEA Services Market by Country
Chapter 8. LAMEA Embedded AI Market by Country
8.1 Brazil Embedded AI Market
8.1.1 Brazil Embedded AI Market by Vertical
8.1.2 Brazil Embedded AI Market by Data Type
8.1.3 Brazil Embedded AI Market by Offering
8.1.3.1 Brazil Embedded AI Market by Hardware Type
8.1.3.2 Brazil Embedded AI Market by Software Type
8.2 Argentina Embedded AI Market
8.2.1 Argentina Embedded AI Market by Vertical
8.2.2 Argentina Embedded AI Market by Data Type
8.2.3 Argentina Embedded AI Market by Offering
8.2.3.1 Argentina Embedded AI Market by Hardware Type
8.2.3.2 Argentina Embedded AI Market by Software Type
8.3 UAE Embedded AI Market
8.3.1 UAE Embedded AI Market by Vertical
8.3.2 UAE Embedded AI Market by Data Type
8.3.3 UAE Embedded AI Market by Offering
8.3.3.1 UAE Embedded AI Market by Hardware Type
8.3.3.2 UAE Embedded AI Market by Software Type
8.4 Saudi Arabia Embedded AI Market
8.4.1 Saudi Arabia Embedded AI Market by Vertical
8.4.2 Saudi Arabia Embedded AI Market by Data Type
8.4.3 Saudi Arabia Embedded AI Market by Offering
8.4.3.1 Saudi Arabia Embedded AI Market by Hardware Type
8.4.3.2 Saudi Arabia Embedded AI Market by Software Type
8.5 South Africa Embedded AI Market
8.5.1 South Africa Embedded AI Market by Vertical
8.5.2 South Africa Embedded AI Market by Data Type
8.5.3 South Africa Embedded AI Market by Offering
8.5.3.1 South Africa Embedded AI Market by Hardware Type
8.5.3.2 South Africa Embedded AI Market by Software Type
8.6 Nigeria Embedded AI Market
8.6.1 Nigeria Embedded AI Market by Vertical
8.6.2 Nigeria Embedded AI Market by Data Type
8.6.3 Nigeria Embedded AI Market by Offering
8.6.3.1 Nigeria Embedded AI Market by Hardware Type
8.6.3.2 Nigeria Embedded AI Market by Software Type
8.7 Rest of LAMEA Embedded AI Market
8.7.1 Rest of LAMEA Embedded AI Market by Vertical
8.7.2 Rest of LAMEA Embedded AI Market by Data Type
8.7.3 Rest of LAMEA Embedded AI Market by Offering
8.7.3.1 Rest of LAMEA Embedded AI Market by Hardware Type
8.7.3.2 Rest of LAMEA Embedded AI Market by Software Type
Chapter 9. Company Profiles
9.1 Google LLC (Alphabet Inc.)
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Acquisition and Mergers:
9.1.6 SWOT Analysis
9.2 IBM Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional & Segmental Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Microsoft Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Acquisition and Mergers:
9.3.6 SWOT Analysis
9.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental Analysis
9.4.4 Recent strategies and developments:
9.4.4.1 Partnerships, Collaborations, and Agreements:
9.4.5 SWOT Analysis
9.5 NVIDIA Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.5.2 Product Launches and Product Expansions:
9.5.6 SWOT Analysis
9.6 Intel Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental and Regional Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Partnerships, Collaborations, and Agreements:
9.6.6 SWOT Analysis
9.7 Qualcomm, Inc.
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.5.2 Product Launches and Product Expansions:
9.7.6 SWOT Analysis
9.9 Siemens AG
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Acquisition and Mergers:
9.9.6 SWOT Analysis
9.10. Oracle Corporation
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expense
9.10.5 Recent strategies and developments:
9.10.5.1 Partnerships, Collaborations, and Agreements:
9.10.5.2 Acquisition and Mergers:
9.10.6 SWOT Analysis

Companies Mentioned

  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • NVIDIA Corporation
  • Intel Corporation
  • Qualcomm, Inc.
  • Salesforce, Inc.
  • Siemens AG
  • Oracle Corporation

Methodology

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