The Latin America, Middle East and Africa AI Computer Market is expected to witness market growth of 35.4% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA AI Computer Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $8.04 billion by 2031. The Argentina market is exhibiting a CAGR of 36.2% during 2024-2031. Additionally, the UAE market is expected to experience a CAGR of 33.9% during 2024-2031.
The demand for cloud-based AI computation and AI-as-a-Service (AIaaS) is on the rise as AI has become more prevalent in a variety of industries. Cloud providers such as Google Cloud AI, Microsoft Azure AI, and Amazon Web Services (AWS) AI offer scalable AI solutions, allowing businesses to leverage powerful AI models without investing in expensive on-premise hardware. Cloud-based AI platforms enable enterprises to train, deploy, and manage AI models efficiently, making AI computing more accessible to a broader audience. The shift towards AIaaS reduces the barriers to AI adoption, encouraging more companies to integrate AI into their operations.
The development of AI supercomputers has become indispensable for the training and deployment of large-scale AI models, thereby facilitating advancements in deep learning, natural language processing (NLP), and autonomous driving. Companies like Tesla, Meta, and OpenAI lead the charge by building high-performance AI computing infrastructure. Tesla’s Dojo supercomputer, powered by custom D1 AI chips, accelerates the training of its Full Self-Driving (FSD) system, allowing Tesla to process vast amounts of real-world driving data for improved vehicle autonomy. Meta’s AI Research SuperCluster (RSC), equipped with thousands of NVIDIA A100 GPUs, supports AI-driven content moderation, computer vision, and metaverse development, enabling realistic virtual environments and intelligent avatars. Similarly, OpenAI, in partnership with Microsoft Azure, leverages one of the world’s most powerful AI supercomputers to train models like ChatGPT, DALL·E, and Codex, powering applications in AI-driven chatbots, automated content generation, and coding assistance.
The market in Brazil is advancing with the introduction of the Emerging Brazilian Artificial Intelligence Strategy (EBIA) in 2021. This initiative complements Brazil’s broader technology-driven policies, including the Brazilian Strategy for Digital Transformation (E-Digital) and the General Data Protection Law, aiming to foster AI innovation, research, and business adoption. Brazil is establishing itself as a critical participant in the AI revolution in Latin America, with an increasing emphasis on AI-powered automation, cloud-based AI solutions, and AI computing infrastructure. The country’s strategic focus on AI will drive technological advancements in manufacturing, healthcare, and smart cities, increasing demand for high-performance AI computers. Consequently, the region becomes a significant participant in the global AI landscape as AI computing adoption increases throughout LAMEA.
The Brazil market dominated the LAMEA AI Computer Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $8.04 billion by 2031. The Argentina market is exhibiting a CAGR of 36.2% during 2024-2031. Additionally, the UAE market is expected to experience a CAGR of 33.9% during 2024-2031.
The demand for cloud-based AI computation and AI-as-a-Service (AIaaS) is on the rise as AI has become more prevalent in a variety of industries. Cloud providers such as Google Cloud AI, Microsoft Azure AI, and Amazon Web Services (AWS) AI offer scalable AI solutions, allowing businesses to leverage powerful AI models without investing in expensive on-premise hardware. Cloud-based AI platforms enable enterprises to train, deploy, and manage AI models efficiently, making AI computing more accessible to a broader audience. The shift towards AIaaS reduces the barriers to AI adoption, encouraging more companies to integrate AI into their operations.
The development of AI supercomputers has become indispensable for the training and deployment of large-scale AI models, thereby facilitating advancements in deep learning, natural language processing (NLP), and autonomous driving. Companies like Tesla, Meta, and OpenAI lead the charge by building high-performance AI computing infrastructure. Tesla’s Dojo supercomputer, powered by custom D1 AI chips, accelerates the training of its Full Self-Driving (FSD) system, allowing Tesla to process vast amounts of real-world driving data for improved vehicle autonomy. Meta’s AI Research SuperCluster (RSC), equipped with thousands of NVIDIA A100 GPUs, supports AI-driven content moderation, computer vision, and metaverse development, enabling realistic virtual environments and intelligent avatars. Similarly, OpenAI, in partnership with Microsoft Azure, leverages one of the world’s most powerful AI supercomputers to train models like ChatGPT, DALL·E, and Codex, powering applications in AI-driven chatbots, automated content generation, and coding assistance.
The market in Brazil is advancing with the introduction of the Emerging Brazilian Artificial Intelligence Strategy (EBIA) in 2021. This initiative complements Brazil’s broader technology-driven policies, including the Brazilian Strategy for Digital Transformation (E-Digital) and the General Data Protection Law, aiming to foster AI innovation, research, and business adoption. Brazil is establishing itself as a critical participant in the AI revolution in Latin America, with an increasing emphasis on AI-powered automation, cloud-based AI solutions, and AI computing infrastructure. The country’s strategic focus on AI will drive technological advancements in manufacturing, healthcare, and smart cities, increasing demand for high-performance AI computers. Consequently, the region becomes a significant participant in the global AI landscape as AI computing adoption increases throughout LAMEA.
List of Key Companies Profiled
- Apple, Inc.
- Dell Technologies, Inc.
- Hewlett Packard Enterprise Company
- Lenovo Group Limited
- Intel Corporation
- Advanced Micro Devices, Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Fujitsu Limited
- Google LLC (Alphabet Inc.)
Market Report Segmentation
By Operating System
- Windows
- MacOS
- Other Operating System
By Type
- Hardware-enabled AI PCs
- Next-generation AI PCs
- Advanced AI PCs
By Price
- Low Range (USD 500 - 1,500)
- Mid-Range (USD 1,600 - 3,500)
- High Range (3,600 & above)
By Architecture
- ARM
- x86
By Device
- Desktop & Notebooks
- Workstations
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. LAMEA AI Computer Market by Operating System
Chapter 6. LAMEA AI Computer Market by Type
Chapter 7. LAMEA AI Computer Market by Price
Chapter 8. LAMEA AI Computer Market by Architecture
Chapter 9. LAMEA AI Computer Market by Device
Chapter 10. LAMEA AI Computer Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Apple, Inc.
- Dell Technologies, Inc.
- Hewlett Packard Enterprise Company
- Lenovo Group Limited
- Intel Corporation
- Advanced Micro Devices, Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Fujitsu Limited
- Google LLC (Alphabet Inc.)
Methodology
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