The Latin America, Middle East and Africa AI Computer Market would 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 would continue to be a dominant market till 2031; thereby, achieving a market value of $8,042.2 million by 2031. The Argentina market is exhibiting a CAGR of 36.2% during (2024 - 2031). Additionally, The UAE market would 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.
Free Valuable Insights: The Worldwide AI Computer Market is Projected to reach USD 372.36 Billion by 2031, at a CAGR of 33.5%
Based on Operating System, the market is segmented into Windows, MacOS, and Other Operating System. Based on Type, the market is segmented into Hardware-enabled AI PCs, Next-generation AI PCs, and Advanced AI PCs. Based on Price, the market is segmented into Low Range (USD 500 - 1,500), Mid-Range (USD 1,600 - 3,500), and High Range (3,600 & above). Based on Architecture, the market is segmented into ARM, and x86. Based on Device, the market is segmented into Desktop & Notebooks, and Workstations. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
By Operating System
By Type
By Price
By Architecture
By Device
By Country
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