LAMEA Data Center GPU Market

LAMEA Data Center GPU Market Size, Share & Industry Trends Analysis Report By End User (Cloud Service Providers, Enterprises and Government), By Deployment Type, By Function (Training and Inference), By Country and Growth Forecast, 2023 - 2030

Report Id: KBV-19238 Publication Date: December-2023 Number of Pages: 132
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Analysis of Market Size & Trends

The Latin America, Middle East and Africa Data Center GPU Market would witness market growth of 38% CAGR during the forecast period (2023-2030).

In the dynamic landscape of data-driven computing, the role of Graphics Processing Units (GPUs) has transcended beyond their traditional realm in graphics rendering to become indispensable components in data center architectures. These highly parallelized processors have evolved to meet the escalating demands of complex computational workloads, fostering advancements in artificial intelligence (AI), machine learning (ML), scientific research, and high-performance computing (HPC).

Moreover, the adoption of GPUs in data centers has witnessed a seismic shift, propelled by the relentless pursuit of processing power to tackle increasingly sophisticated computational tasks. Historically synonymous with rendering intricate graphics for gaming and visualization, GPUs found a new calling in general-purpose computing, unlocking parallel processing capabilities well-suited for data-intensive workloads. Scientific research, including fields such as astrophysics, chemistry, and materials science, has been transformed by the computational capabilities of GPGPU computing. Simulations that demand extensive parallel processing can be executed more swiftly, facilitating breakthroughs and discoveries.

The UAE's increasing focus on AI research and development, including initiatives in academia and private sector research labs, can drive demand for data center GPUs. These GPUs are essential for training and optimizing machine learning models in diverse applications, from healthcare to finance. Enterprises operating in the UAE will probably incorporate artificial intelligence (AI) into their processes to improve efficacy and decision-making. Therefore, the growing adoption of AI in the LAMEA region will boost the expansion of the regional data center GPU market.

The Brazil market dominated the LAMEA Data Center GPU Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,624 million by 2030. The Argentina market is showcasing a CAGR of 38.8% during (2023 - 2030). Additionally, The UAE market would register a CAGR of 37.6% during (2023 - 2030).

Based on End User, the market is segmented into Cloud Service Providers, Enterprises and Government. Based on Deployment Type, the market is segmented into On-premises and Cloud. Based on Function, the market is segmented into Training and Inference. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

Free Valuable Insights: The Worldwide Data Center GPU Market is Projected to reach USD 114.2 Billion by 2030, at a CAGR of 32.3%

The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc., Samsung Electronics Co., Ltd. (Samsung Group), Micron Technology, Inc., Qualcomm Incorporated (Qualcomm Technologies, Inc.), IBM Corporation, Google LLC (Alphabet Inc.), Microsoft Corporation, Imagination Technologies Limited.

Scope of the Study

Market Segments Covered in the Report:

By End User

  • Cloud Service Providers
  • Enterprises
  • Government

By Deployment Type

  • On-premises
  • Cloud

By Function

  • Training
  • Inference

By Country

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

Key Market Players

List of Companies Profiled in the Report:

  • NVIDIA Corporation
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • IBM Corporation
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • Imagination Technologies Limited
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