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Memory Market Set to Eclipse Semiconductor Revenue

Memory Market Set to Eclipse Semiconductor Revenue
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#memory-market#semiconductors#ai-infrastructure#supply-chain全球記憶體市場gartnerdramnandai data centers

💡Memory—not GPUs alone—could become the biggest constraint and cost driver for AI infrastructure through 2027.

⚡ 30-Second TL;DR

What Changed

2026 memory revenue is forecast at $837.3 billion, versus $809 billion for total semiconductor revenue in 2025.

Why It Matters

The forecast signals that AI infrastructure demand is shifting memory from a supporting component into the primary semiconductor growth engine. AI builders may face greater exposure to DRAM, NAND, and accelerator-memory availability and pricing.

What To Do Next

Update your 2026 AI infrastructure budget model with separate DRAM, NAND, and accelerator-memory supply and price sensitivity scenarios.

Who should care:Enterprise & Security Teams

Key Points

  • 2026 memory revenue is forecast at $837.3 billion, versus $809 billion for total semiconductor revenue in 2025.
  • DRAM and NAND are expected to grow 246.6% and 371.9%, respectively, in 2026.
  • Memory's share of semiconductor revenue may rise from 27% to 54%.
  • Total semiconductor revenue is projected to reach $1.5552 trillion in 2026 and approach $2 trillion in 2027.
  • AI data center infrastructure could account for more than 53% of industry revenue by 2030.
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