TL;DR. TrendForce revised its global memory market forecasts upward, projecting a
.28 trillion valuation by 2027 due to Agentic AI's memory demand.
- Agentic AI systems' iterative inference cycles increase demand for HBM and DRAM.
- CPU requirements for AI servers rise, shifting ratios from 1:8 to 1:4 and expanding server DRAM needs.
- HBM production consumes increasing wafer capacity, tightening supply for conventional DRAM.
Agentic AI's shift from training to inference drives significant memory demand expansion.
Global memory market forecast for 2027 raised to
.28 trillion.
Inference in Agentic AI requires continuous iterative cycles, increasing KV cache capacity and demanding more HBM and DRAM.
Increased CPU requirements for AI server platforms impact server DRAM capacity.