The Latin America, Middle East and Africa Artificial Intelligence (AI) Chipsets Market would witness market growth of 32.2% CAGR during the forecast period (2024-2031).
The Brazil market dominated the LAMEA Artificial Intelligence (AI) Chipsets Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$6.05 billion by 2031. The Argentina market is showcasing a CAGR of 33.2% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 31.8% during (2024 - 2031).
AI chipsets enable organizations to perform AI tasks locally on edge devices, reducing the need for centralized cloud-based processing and minimizing data transmission latency. This localization of AI processing enhances cost efficiency, improves data privacy, and increases operational efficiency, driving the adoption of AI chipsets in various use cases. The emergence of AI chipset-as-a-service models allows organizations to access AI hardware resources on demand, accelerating AI development and deployment while reducing upfront capital investments.
In addition, innovations in the market are driving advancements in AI hardware architecture, performance, energy efficiency, and versatility. These innovations are crucial for meeting the increasing demands of AI-driven applications and unlocking new capabilities across industries. Chip manufacturers are developing specialized AI accelerator chips optimized for specific AI workloads, such as neural network inference, training, and optimization. These accelerators leverage custom architectures, hardware accelerators, and dedicated processing units to accelerate AI computations and improve performance.
As data center operators in the UAE expand their infrastructure to accommodate the increasing volume of data generated by businesses, governments, and consumers, there is a heightened demand for high-performance computing resources to process and analyze data efficiently. The UAE has one of the biggest data center hubs in the Middle East, and more are on the horizon, according to the International Trade Administration (ITA). By 2026, further investments are anticipated to reach $1 billion. An average growth rate of 3.43% is projected for the UAE data center industry between 2022 and 2027. Additionally, Customized purchasing experiences are becoming more necessary as Brazilian e-commerce platforms strive to attract clients and differentiate themselves. Customized purchasing experiences are becoming more necessary as Brazilian e-commerce platforms strive to attract clients and differentiate themselves.
Based on Computing Technology, the market is segmented into Cloud Computing and Edge Computing. Based on Function, the market is segmented into Inference and Training. Based on Chipset Type, the market is segmented into GPU, CPU, FPGA, ASIC, and Others. Based on Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Manufacturing, Retail & E-Commerce, BFSI, Marketing, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The Brazil market dominated the LAMEA Artificial Intelligence (AI) Chipsets Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$6.05 billion by 2031. The Argentina market is showcasing a CAGR of 33.2% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 31.8% during (2024 - 2031).
AI chipsets enable organizations to perform AI tasks locally on edge devices, reducing the need for centralized cloud-based processing and minimizing data transmission latency. This localization of AI processing enhances cost efficiency, improves data privacy, and increases operational efficiency, driving the adoption of AI chipsets in various use cases. The emergence of AI chipset-as-a-service models allows organizations to access AI hardware resources on demand, accelerating AI development and deployment while reducing upfront capital investments.
In addition, innovations in the market are driving advancements in AI hardware architecture, performance, energy efficiency, and versatility. These innovations are crucial for meeting the increasing demands of AI-driven applications and unlocking new capabilities across industries. Chip manufacturers are developing specialized AI accelerator chips optimized for specific AI workloads, such as neural network inference, training, and optimization. These accelerators leverage custom architectures, hardware accelerators, and dedicated processing units to accelerate AI computations and improve performance.
As data center operators in the UAE expand their infrastructure to accommodate the increasing volume of data generated by businesses, governments, and consumers, there is a heightened demand for high-performance computing resources to process and analyze data efficiently. The UAE has one of the biggest data center hubs in the Middle East, and more are on the horizon, according to the International Trade Administration (ITA). By 2026, further investments are anticipated to reach $1 billion. An average growth rate of 3.43% is projected for the UAE data center industry between 2022 and 2027. Additionally, Customized purchasing experiences are becoming more necessary as Brazilian e-commerce platforms strive to attract clients and differentiate themselves. Customized purchasing experiences are becoming more necessary as Brazilian e-commerce platforms strive to attract clients and differentiate themselves.
Based on Computing Technology, the market is segmented into Cloud Computing and Edge Computing. Based on Function, the market is segmented into Inference and Training. Based on Chipset Type, the market is segmented into GPU, CPU, FPGA, ASIC, and Others. Based on Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Manufacturing, Retail & E-Commerce, BFSI, Marketing, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
List of Key Companies Profiled
- Intel Corporation
- NVIDIA Corporation
- IBM Corporation
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Samsung Electronics Co., Ltd. (Samsung Group)
- Apple, Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Texas Instruments, Inc.
- NXP Semiconductors N.V.
Market Report Segmentation
By Computing Technology- Cloud Computing
- Edge Computing
- Inference
- Training
- GPU
- CPU
- FPGA
- ASIC
- Others
- Consumer Electronics
- Automotive
- Healthcare
- Manufacturing
- Retail & E-Commerce
- BFSI
- Marketing
- Others
- 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 Artificial Intelligence (AI) Chipsets Market by Computing Technology
Chapter 6. LAMEA Artificial Intelligence (AI) Chipsets Market by Function
Chapter 7. LAMEA Artificial Intelligence (AI) Chipsets Market by Chipset Type
Chapter 8. LAMEA Artificial Intelligence (AI) Chipsets Market by Vertical
Chapter 9. LAMEA Artificial Intelligence (AI) Chipsets Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Intel Corporation
- NVIDIA Corporation
- IBM Corporation
- Micron Technology, Inc.
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Samsung Electronics Co., Ltd. (Samsung Group)
- Apple, Inc.
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Texas Instruments, Inc.
- NXP Semiconductors N.V.
Methodology
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