Poland 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)  

 

Poland AI Memory Chip Market Outlook

  • As recorded in 2024, the Poland market amounted to USD 247.3 million.
  • Our data-backed projections indicate the Poland AI Memory Chip Market to total USD 1.46 billion by 2033, with a forecast CAGR of 19.8% across the forecast timeframe.
  • 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: Growing public investment in semiconductor infrastructure altered national procurement priorities and accelerated the relocation of higher-value compute tasks closer to domestic data centres. A pivotal non-vendor milestone occurred when the EU approved state aid for a major semiconductor assembly and testing project near Wrocław in Sep-2024. That approval signalled strengthened public backing for upstream capacity and encouraged regional planners to specify memory architectures that balance local-content objectives with AI workload performance. Architects now model trade-offs between high-bandwidth modules and larger-capacity commodity DRAM to preserve both throughput and supply-chain resilience. The net effect improved predictability for procurement cycles and raised the priority of memory subsystems that simplify board-level thermal design while offering clear upgrade paths for evolving AI models.

Industry Player Insights: Among the many players in this market, a few include Intel, Samsung Electronics, Micron Technology, and SK hynix etc. Intel announced selection of a Wrocław area for a semiconductor assembly and test facility in Jun-2023, committing to a multi-year build-out to supply European packaging and test demand. In Jul-2025 reporting indicated a strategic pause and reassessment of certain Europe projects, which impacted timelines for local integration partners. Those vendor developments forced system integrators and memory suppliers to accelerate contingency qualification plans and to prioritise validated memory-controller pairings so AI deployments could maintain momentum despite changes to expected local silicon timelines.

*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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