K-Shaped Split in Memory Industry: Domestic Leaders' Profits Soar While Channel Prices Collapse

Confirmation of the Global Memory Industry’s Cyclical Inflection Point: Surging Profits for Domestic Leaders and Sharp Channel-Price Divergence Reveal a Structural Shift in Industry Prosperity

The global semiconductor memory industry is undergoing a quiet yet profound paradigm shift—not progressing linearly through “broad-based upcycles” or “industry-wide inventory corrections,” but splitting decisively into a clear K-shaped curve: one limb driven by AI-powered high-end demand, generating surging orders and exploding margins; the other weighed down by oversupplied mature-process capacity, triggering precipitous price collapses. Data from Q1 2026 is no longer forward-looking guidance—it is definitive confirmation of an inflection point. Demingli forecasts a single-quarter net profit surge from a ¥69.09 million loss YoY to ¥3.15–3.65 billion—a more than 45-fold increase. Meanwhile, CFM reports a 25% weekly plunge in channel prices for DDR4 memory modules. This stark “fire-and-ice” dichotomy signals the memory industry’s formal entry into a new era of structural prosperity migration, with ramifications cascading across IDMs, module makers, foundries, and equipment suppliers—reshaping valuation anchors and investment logic across the entire semiconductor sector.

High-End Demand Surge: AI Compute Infrastructure Is Rewriting Memory’s Value Center

The core engine propelling high-end memory prosperity is the exponential expansion of AI compute infrastructure—not abstract rhetoric, but a tangible convergence of capital deployment and technological action. NVIDIA’s $2 billion investment in Marvell to co-develop silicon photonics interconnect technology (Source 8) aims squarely at overcoming bandwidth bottlenecks inherent in traditional copper interconnects; silicon photonics chips, in turn, create non-negotiable demand for high-bandwidth, ultra-low-latency, energy-efficient HBM3/HBM4 and CXL memory. Huawei’s R&D expenditure reached ¥192.3 billion in 2025 (Source 10), fueling rapid iteration of its Ascend AI chips and Pangu large language models—directly driving customized procurement of LPDDR5X, GDDR7, and embedded DRAM for in-memory computing architectures in servers. UBTECH’s humanoid robot mass production timeline has accelerated beyond expectations (Source 7), generating stable incremental demand for industrial-grade eMMC/UFS and automotive-grade SSDs in multimodal perception and real-time motion control modules. Collectively, these use cases point to a fundamental truth: memory’s value proposition is shifting decisively—from “capacity cost per gigabyte” toward bandwidth density and system-level synergy efficiency. Demingli’s emphasis in its earnings report on “launching differentiated, customized solutions targeting data centers and industrial control” reflects precise strategic positioning. Its profit explosion stems not from thin-margin volume sales in low-end markets, but from the full realization of high-end custom solutions—evidenced by successful customer design-in, yield ramp-up, and strengthened pricing power.

Mature-Process Capacity Rationalization: K-Shaped Price Divergence Confirms Structural Overcapacity

In sharp contrast to the high-end boom lies the brutal rationalization underway in mature-process markets. CFM’s report of a 25% weekly drop in DDR4 channel prices (Source 19) is no short-term blip—it is the inevitable outcome of deep-seated supply-demand imbalance. On the demand side, PC and legacy server markets remain sluggish, compounded by the tail end of the Windows 11 upgrade cycle, leading to sustained contraction in DDR4 end-market demand. On the supply side, while Samsung and SK hynix have strategically curtailed output, several Tier-2 manufacturers in Taiwan and mainland China continue operating DDR4 lines, rendering supply far less elastic than demand. Crucially, technological substitution is now irreversible: major cloud providers universally deploy DDR5 platforms in newly built data centers, and Intel/AMD’s latest-generation CPUs have dropped DDR4 support entirely. Once a technology enters its “policy-driven obsolescence” phase, price becomes the sole mechanism for market clearance. This divergence has already transcended product categories, permeating every link in the chain: module makers overly reliant on unbranded DDR4 channels face relentless gross-margin compression; foundries failing to redeploy 8-inch wafer capacity toward CIS or power devices risk chronic underutilization. The K-shaped split thus serves as a litmus test for corporate strategic resolve and technological foresight.

Restructuring Valuation Logic Across the Supply Chain: From “Cyclical Arbitrage” to “Capability-Based Pricing”

Confirmation of the cyclical inflection point is compelling capital markets to rewrite the memory industry’s valuation playbook. Historically, investors forecasted quarterly earnings using NAND/DRAM price indices and fab utilization rates—anchoring valuations firmly to industry-wide beta. Today, alpha factors are rapidly gaining dominance. For memory IDMs, valuation premiums hinge increasingly on technology-generation transition capability (e.g., Samsung’s 2nm yield breakthrough to 60%, targeting 1nm by 2030) and depth of customer integration (e.g., Demingli’s design-win in Huawei’s Ascend server supply chain). For module makers, competitive advantage now rests on customized design capability, automotive- and industrial-grade certification credentials, and firmware algorithm ownership—not merely channel distribution scale. For equipment vendors, the ability to supply specialized tools for HBM stacking, TSV (through-silicon via) fabrication, and advanced packaging inspection directly determines order visibility. A telling example: when DDR4 prices collapsed, the share price of a domestic probe-card manufacturer specializing in HBM testing rose 18% against the trend—its orders are already locked in through Q3 2026. This validates the new logic: markets no longer pay for “memory” as a commodity—but for systemic capabilities that solve AI-era data movement bottlenecks.

Conclusion: Seizing Structural Opportunities Requires Looking Beyond Surface Indicators to Technical Depth

The global memory industry’s inflection point is, at its core, AI’s forced upgrade of foundational hardware architecture. Demingli’s profit miracle and DDR4’s price cliff appear contradictory—but they share the same root cause. The former represents concentrated realization of technological dividends at advantaged nodes; the latter reflects the natural retreat of obsolete capacity amid an unstoppable technological tide. For investors and industry participants alike, the critical question is no longer “Has the cycle ended?” but rather: Where does your organization sit on the K-curve? Are you at the cutting edge of HBM3 stacking process technology—or stranded at the tail end of DDR4 inventory? Future outperformance will accrue exclusively to enterprises making sustained investments—and translating technical momentum into customer delivery capability—at deep-tech nodes: advanced packaging, in-memory computing, silicon photonics interconnects. As the global AI compute arms race enters its deep-water phase, the decisive battleground for the memory industry has long since shifted away from the smoke of price wars—and into the focused field of the laboratory microscope.