BRICS AI Memory Chip Market Size and Forecast by Memory Types, Packaging Architectures, and End User: 2019-2033

  Dec 2025   | Format: PDF DataSheet |   Pages: 160+ | Type: Niche Industry Report |    Authors: Surender Khera (Asst. Manager)  

 

BRICS AI Memory Chip Market Outlook

  • In 2024, the market in BRICS stood at USD 4.21 billion, showing a year-over-year growth rate of 49.1%.
  • By 2033, the BRICS AI Memory Chip Market will attain USD 58.59 billion, with a projected CAGR of 31.3% across the forecast window.
  • DataCube Research Report (Dec 2025): This analysis uses 2024 as the actual year, 2025 as the estimated year, and calculates CAGR for the 2025-2033 period.

Industry Assessment Overview

Industry Findings: Geopolitical coordination across emerging markets has become a primary determinant of regional memory demand and procurement risk profiles. A notable multilateral shift occurred in Dec-2024 when BRICS members announced plans to deepen AI research cooperation and explore joint governance frameworks for critical technologies. That political momentum encouraged member-state ministries to prioritise domestic compute resilience and closer intra-BRICS supply links, which reduced single-source exposure for memory-reliant projects. Procurement teams therefore began designing dual-track sourcing strategies that combine access to international high-bandwidth suppliers with accelerated validation of regionally available memory components. The practical effect tightened near-term availability but improved longer-term planning for AI infrastructure across member economies.

Industry Player Insights: The industry innovation pulse in BRICS is driven by Samsung Electronics, Micron Technology, SK hynix, and ChangXin Memory Technologies (CXMT) etc. Market access for advanced HBM materially improved when Micron began volume production of its HBM3E family in Feb-2024, which helped hyperscale projects secure denser on-node pools for training clusters. In a different development, SK hynix moved to mass-produce higher-capacity HBM3E variants in Sep-2024, tightening competitive dynamics for suppliers to BRICS-based integrators. These vendor actions expanded the set of viable high-performance memory options for BRICS deployments and reduced latency constraints on large AI workloads.

*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]

Market Scope Framework

Memory Types

  • Compute-in-Memory (CiM)
  • Near-Memory / On-Package DRAM
  • In-Memory Processing SRAM Blocks

Packaging Architectures

  • 2.5D Co-Packaged AI Memory
  • 3D-Stacked AI Memory
  • AI-Focused Fan-Out Memory Tiles

End User

  • Hyperscalers & Cloud Providers
  • OEMs / System Integrators
  • Accelerator / ASIC Vendors
  • Enterprises / Research Institutions
  • Edge Device Makers

Countries Covered

  • Brazil
  • Russia
  • India
  • China
  • South Africa
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