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

  Dec 2025   | Format: PDF DataSheet |   Pages: 110+ | Type: Niche Industry Report |    Authors: Surender Khera (Asst. Manager)  

 

China AI Memory Chip Market Outlook

  • In 2024, the China market accounted for USD 2.51 billion.
  • Our assessment shows the China AI Memory Chip Market is expected to reach USD 42.69 billion by 2033, achieving a CAGR of 34.0% during the forecast period.
  • 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: Centralised industrial finance and technology self-reliance policies reshaped domestic memory roadmaps and procurement priorities. A material policy intervention appeared in May-2024 when authorities completed establishment of an additional large state-backed semiconductor fund to accelerate local fabs, packaging, and upstream R&D. That financial overlay increased the likelihood of longer-term domestic capacity for memory components and encouraged system architects to incorporate higher domestic-content targets into sourcing plans. As a result, Chinese integrators expanded their qualification matrices to include locally produced DRAM and NAND formats and adjusted refresh cycles to reflect anticipated increases in indigenous production capacity.

Industry Player Insights: Among the broad mix of companies in China, the competitive footprint is influenced by ChangXin Memory Technologies (CXMT), Yangtze Memory Technologies (YMTC), Samsung Electronics, and SK hynix etc. CXMT reported stepped-up DRAM process and product milestones in late-2024 that broadened available DDR5 and LPDDR lines for local OEMs, improving lead-time options for regionally sourced memory. Separately, YMTC continued to progress on higher-layer 3D NAND capabilities after October-2023 product milestones, which offered alternative persistent storage choices for AI dataset staging. These vendor developments strengthened domestic sourcing paths and reduced reliance on single foreign suppliers for critical memory subsystems.

*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
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