The Brazil market dominated the LAMEA DRAM Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$3.60 billion by 2031. The Argentina market is showcasing a CAGR of 9.6% during (2024 - 2031). Additionally, The UAE market would register a CAGR of 8.3% during (2024 - 2031).
With power consumption becoming a critical concern in mobile and data center environments, DRAM manufacturers are investing in energy-efficient designs and low-power modes to minimize the power consumption of memory subsystems. Techniques such as advanced power management, voltage scaling, and deep power-down modes help reduce the energy footprint of DRAM modules without compromising performance or reliability.
Furthermore, incorporating machine learning and artificial intelligence capabilities into DRAM controllers and memory management systems encourages the creation of intelligent memory architectures suited for AI workloads. These architectures leverage techniques such as neural network accelerators, on-chip cache hierarchies, and hardware for matrix multiplication to accelerate AI inference and training tasks, unlocking new opportunities for performance and efficiency gains in AI-driven applications.
The gaming population in Saudi Arabia is experiencing significant growth, encompassing ardent supporters of PC, console, and mobile gaming. As the gaming population continues to expand, there is an increasing demand for high-performance gaming hardware, including PCs, laptops, and gaming consoles. All of these require DRAM for smooth gameplay and multitasking capabilities. As per the data released in 2024 from the International Trade Administration, the multibillion-dollar gaming industry in Saudi Arabia is projected to double within the following three years. Gaming enthusiasts comprise 23.5 million Saudi Arabians, or 67% of the population. Expenditures on gaming are projected to increase from $959 million in 2020 to $6.8 billion by 2030. Furthermore, as companies in Brazil increasingly adopt AI and machine learning technologies for various applications such as natural language processing, image recognition, and predictive analytics, the demand for data center infrastructure to support these workloads is expected to rise. As per the data from the International Trade Administration, AI continues to mature in Brazil and is expected to exceed US$1 billion in spending in 2023 (33% increase year-over-year). Spending on Intelligent Process Automation (IPA) will exceed US$214m in 2023, an increase of about 17% from the previous year. Thus, the growing adoption of AI and the expansion of the gaming sector in LAMEA will pose lucrative growth prospects for the regional market.
Based on Technology, the market is segmented into DDR4, DDR5 and Others. Based on Type, the market is segmented into Double Data Rate SDRAM, Rambus DRAM, Fast Page Mode DRAM, Extended Data Out DRAM and Others. Based on Application, the market is segmented into Mobile Phones, Gaming Console, Automotive, PCs/Laptops, 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
- Samsung Electronics Co., Ltd. (Samsung Group)
- Micron Technology, Inc.
- SK hynix, Inc.
- Transcend Information, Inc.
- Nanya Technology Corporation
- Powerchip Technology Corporation
- Winbond Electronics Corporation
- Infineon Technologies AG
- Kingston Technology Company, Inc.
- Intel Corporation
Market Report Segmentation
By Technology
- DDR4
- DDR5
- Others
By Type
- Double Data Rate SDRAM
- Rambus DRAM
- Fast Page Mode DRAM
- Extended Data Out DRAM
- Others
By Application
- Mobile Phones
- Gaming Console
- Automotive
- PCs/Laptops
- Others
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Companies Mentioned
- Samsung Electronics Co., Ltd. (Samsung Group)
- Micron Technology, Inc.
- SK hynix, Inc.
- Transcend Information, Inc.
- Nanya Technology Corporation
- Powerchip Technology Corporation
- Winbond Electronics Corporation
- Infineon Technologies AG
- Kingston Technology Company, Inc.
- Intel Corporation
Methodology
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