The Latin America, Middle East and Africa Data Center Chip Market should witness market growth of 16.0% CAGR during the forecast period (2023-2030). In the year 2026, the LAMEA market's volume is expected to surge to 164.3 thousand units, showcasing a growth of 18.1% (2023-2030).
The development of 5G technology has established the future potential for the market. Additionally, 5G technology will require more powerful and effective data center chips due to the massive volumes of data created by 5G devices. 5G technology aims to provide faster internet speeds, reduced latency, and increased bandwidth, enabling new services and applications that were impossible with previous generations of cellular technology. For instance, 5G technology is anticipated to facilitate the development of new applications like HPC, cloud computing, and smart cities, which are anticipated to produce enormous volumes of data that are anticipated to be processed and analyzed in real time. This requires advanced data center processors to process data with a high bandwidth and low latency.
The upsurge of artificial intelligence (AI) and machine learning (ML) workloads is the main factor driving the market. High-performance computing infrastructure is required for AI and ML technologies because they require multiple volumes of data to be processed and analyzed in real-time to train algorithms and improve performance. Chips in data centers are indispensable for providing the required computational capacity for AI and ML workloads.
The network infrastructure environment benefits from favourable government attempts to lower restrictions on international IT business operations. Because of this, businesses are making aggressive investments in emerging markets like Latin America, the Middle East, and Africa to grow. For instance, in order to set up cloud data centres there, Microsoft Corporation plans to enter Middle Eastern markets like Abu Dhabi and Dubai. In addition, organizations in Latin America and the Middle East are shifting to data centre solutions to satisfy their expanding data needs. As a result of this, market is estimated to expand.
The Brazil market dominated the LAMEA Data Centre Chip Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $606.4 million by 2030. The Argentina market is estimated to grow at a CAGR of 16.6% during (2023-2030). Additionally, The UAE market would exhibit a CAGR of 15.7% during (2023-2030).
Based on Chip Type, the market is segmented into GPU, ASIC, FPGA, CPU, and Others. Based on Vertical, the market is segmented into BFSI, Manufacturing, Telecom & IT, Government, Retail, Transportation, Energy & Utilities, and Others. Based on Data Center Size, the market is segmented into Large, and Small & Medium Size. 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 stakeholders of the market. Key companies profiled in the report include Advanced Micro Devices, Inc., Arm Limited, Broadcom, Inc., GLOBALFOUNDRIES Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd. (Samsung Group), Taiwan Semiconductor Manufacturing Company Limited, and Qualcomm, Inc.
The development of 5G technology has established the future potential for the market. Additionally, 5G technology will require more powerful and effective data center chips due to the massive volumes of data created by 5G devices. 5G technology aims to provide faster internet speeds, reduced latency, and increased bandwidth, enabling new services and applications that were impossible with previous generations of cellular technology. For instance, 5G technology is anticipated to facilitate the development of new applications like HPC, cloud computing, and smart cities, which are anticipated to produce enormous volumes of data that are anticipated to be processed and analyzed in real time. This requires advanced data center processors to process data with a high bandwidth and low latency.
The upsurge of artificial intelligence (AI) and machine learning (ML) workloads is the main factor driving the market. High-performance computing infrastructure is required for AI and ML technologies because they require multiple volumes of data to be processed and analyzed in real-time to train algorithms and improve performance. Chips in data centers are indispensable for providing the required computational capacity for AI and ML workloads.
The network infrastructure environment benefits from favourable government attempts to lower restrictions on international IT business operations. Because of this, businesses are making aggressive investments in emerging markets like Latin America, the Middle East, and Africa to grow. For instance, in order to set up cloud data centres there, Microsoft Corporation plans to enter Middle Eastern markets like Abu Dhabi and Dubai. In addition, organizations in Latin America and the Middle East are shifting to data centre solutions to satisfy their expanding data needs. As a result of this, market is estimated to expand.
The Brazil market dominated the LAMEA Data Centre Chip Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $606.4 million by 2030. The Argentina market is estimated to grow at a CAGR of 16.6% during (2023-2030). Additionally, The UAE market would exhibit a CAGR of 15.7% during (2023-2030).
Based on Chip Type, the market is segmented into GPU, ASIC, FPGA, CPU, and Others. Based on Vertical, the market is segmented into BFSI, Manufacturing, Telecom & IT, Government, Retail, Transportation, Energy & Utilities, and Others. Based on Data Center Size, the market is segmented into Large, and Small & Medium Size. 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 stakeholders of the market. Key companies profiled in the report include Advanced Micro Devices, Inc., Arm Limited, Broadcom, Inc., GLOBALFOUNDRIES Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd. (Samsung Group), Taiwan Semiconductor Manufacturing Company Limited, and Qualcomm, Inc.
Scope of the Study
By Chip Type (Volume, Thousand Units, USD Million, 2019-2030)
- GPU
- ASIC
- FPGA
- CPU
- Others
By Vertical (Volume, Thousand Units, USD Million, 2019-2030)
- BFSI
- Manufacturing
- Telecom & IT
- Government
- Retail
- Transportation
- Energy & Utilities
- Others
By Data Center Size (Volume, Thousand Units, USD Million, 2019-2030)
- Large
- Small & Medium Size
By Country (Volume, Thousand Units, USD Million, 2019-2030)
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- Advanced Micro Devices, Inc.
- Arm Limited
- Broadcom, Inc.
- GLOBALFOUNDRIES Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Intel Corporation
- NVIDIA Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- Taiwan Semiconductor Manufacturing Company Limited
- Qualcomm, Inc.
Unique Offerings
- Exhaustive coverage
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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 Data Center Chip Market by Chip Type
Chapter 6. LAMEA Data Center Chip Market by Vertical
Chapter 7. LAMEA Data Center Chip Market by Data Center Size
Chapter 8. LAMEA Data Center Chip Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Advanced Micro Devices, Inc.
- Arm Limited
- Broadcom, Inc.
- GLOBALFOUNDRIES Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Intel Corporation
- NVIDIA Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- Taiwan Semiconductor Manufacturing Company Limited
- Qualcomm, Inc.
Methodology
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