Europe 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)  

 

Europe AI Memory Chip Market Outlook

  • In 2024, the sector in Europe recorded a value of USD 5.28 billion, equating to a year-over-year growth of 30.7%.
  • Current projections suggest that by 2033, the Europe AI Memory Chip Market valuation will total USD 29.26 billion, registering an estimated CAGR of 19.7% 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: Several European industries are reconfiguring compute architectures as AI transitions from pilot deployments to scaled enterprise integration. Demand for high-bandwidth memory increased sharply after the EU advanced its semiconductor sovereignty agenda in Feb-2023, accelerating capital allocation toward fabrication, advanced packaging, and research infrastructure. This policy environment encourages more cross-border AI programmes, with sectors such as automotive, aerospace, and industrial automation adopting memory-rich compute frameworks. The policy shift strengthens Europe’s capacity to support sustained AI growth and improves its alignment with global performance benchmarks.

Industry Player Insights: Europe's competitive environment is driven by SK hynix, Micron Technology, Samsung Electronics, and Infineon Technologies etc. SK hynix expanded its European presence in Sep-2023 by advancing build-out activities for its semiconductor packaging plant in Hungary, improving regional access to high-performance memory components. Meanwhile, Micron reinforced its automotive memory R&D operations in Munich in Apr-2022, enabling European OEMs to evaluate next-generation low-latency designs. These moves enhance ecosystem depth and accelerate time-to-deployment for AI-intensive applications across the region.

*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

  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Benelux
  • Nordics
  • Russia
  • Poland
  • Rest of Europe
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