AI-Driven Memory Supercycle Continues… "Market Forecasted to Reach 2,100 Trillion Won Next Year"
Counterpoint Research: "Growth to Continue Through the First Half of Next Year"
Server Memory Accounts for 57%…HBM Demand on the Rise
Prices May Adjust if Supply Expands in the Second Half of 2027
[Edaily Reporter JAEMIN SONG ] A forecast has been released predicting that the global memory market will continue its steep growth trajectory through next year, driven by expanded investment in artificial intelligence (AI) infrastructure. With demand for server memory—centered on High-Bandwidth Memory (HBM)—surge, the earnings improvement trend for major companies such as SamsungElectronics and SK hynix is also expected to continue for the time being.
(Photo: Counterpoint Research) According to market research firm Counterpoint Research on the 23rd, the global memory market is projected to expand from 360 trillion won last year to 1,500 trillion won this year, and further grow to 2,100 trillion won next year.
Analysts attribute this growth to increased investment in AI data centers. In particular, the share of server memory sales is expected to rise from 37% last year to 56% this year and reach 57% next year. They explain that as demand for high-performance memory such as HBM and DDR5 increases, the market structure is rapidly shifting toward AI servers.
This trend is expected to have a positive impact on the financial performance of major memory manufacturers such as SamsungElectronics, SK hynix, and Micron. In particular, as the HBM market—a core component of AI servers—expands, competition to secure related production capacity is expected to intensify further.
However, it remains uncertain whether the current growth momentum can be sustained over the long term. Counterpoint Research analyzed that memory prices are likely to undergo a correction starting in the second half of 2027, when supply expansion driven by new production facilities begins in earnest.
The firm identified securing volume through long-term supply agreements (LTAs), custom HBM strategies, and the speed of transition to next-generation processes as key variables in future market competition.
Counterpoint Research stated, “Expanded investment in AI infrastructure is driving structural growth in the memory market,” adding, “However, to sustain this growth, sophisticated supply-demand management is necessary in preparation for the phase of expanded supply.”
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