The semiconductor narrative for 2026 is undergoing a quiet yet profound transformation. In the past two years, the spotlight in AI hardware has shone almost exclusively on NVIDIA’s GPUs and HBM high-bandwidth memory. But as we move into 2026, the market’s focus is expanding deeper into the supply chain—storage, especially NAND flash, is emerging from a supporting role in AI infrastructure to become a decisive strategic bottleneck.
The core driver behind this shift in perception is the onset of large-scale AI deployment. In the early days of the industry, public attention centered on training large models—massive computational demands and months-long cluster operations fueled the first wave of GPU-centric hardware adoption. However, model training is only the starting point for commercializing the technology. Once AI moves from the lab into daily interactions with millions of users, it’s not the training compute that’s continually consumed, but storage.
Every user interaction with a large model generates vast amounts of data that must be persistently stored. Take a large language model with a 128,000-token context window: a single conversation can produce about 61GB of cache data. In Agentic AI’s ongoing inference processes—where models run for extended periods, continuously handling massive user interactions and generating ever-growing context information—each conversation produces intermediate states, KV Cache, and compliance records that all require persistent storage. According to a McKinsey report, the sustained growth in NAND demand is primarily driven by AI model training, inference, and the widespread adoption of retrieval-augmented generation and multimodal models. Forecasts for the global NAND market directly reflect this trend. TrendForce has sharply raised its 2026 global NAND flash revenue projection to $270.6 billion, representing a staggering 280.7% year-over-year increase; the market is expected to further expand to nearly $379.4 billion in 2027, with a 40.2% annual growth rate. To put this in perspective: NAND market revenue in Q1 2026 has already surpassed the total for all of 2023. Unlike the relatively concentrated data generation pattern during training, storage demand in inference scenarios is both continuous and cumulative—each new user scenario adds another layer of demand, rather than fading with each cycle.
As AI shifts from training to inference, the logic behind infrastructure investment is fundamentally changing. NAND storage is evolving from a cost center into a value center.
NAND Demand in Inference: From Storage to Strategic Asset
To understand this shift, we need to examine how AI inference operates. Traditional data center workloads typically require "write once, read many" storage patterns. In AI inference, the situation is entirely different. Each AI model requires continuous access to training datasets, model weights, KV Cache, and user interaction history during inference. These data sets can’t all reside in expensive, limited-capacity DRAM; they depend on large-scale NAND flash as the persistent storage layer.
NVIDIA’s early 2026 blueprint for next-generation AI infrastructure—the Inference Context Memory Storage platform and BlueField 4 Data Processing Unit—clearly illustrates this change. According to Korean media reports, NVIDIA has explicitly stated that as the AI industry transitions from training to inference, the role of storage devices will rapidly grow, becoming as strategically important as compute performance itself. NVIDIA’s new AI architecture not only leverages high-speed memory near the GPU but also incorporates large-capacity SSDs outside the server into the AI inference pipeline. This fundamentally elevates storage devices from auxiliary tools to core components of AI inference.
The result is what the industry calls a "capital expenditure rotation from compute to storage." Market data shows that enterprise SSD contract prices have soared as much as 80% over the past three quarters, signaling the onset of a structural NAND flash supercycle driven by AI data needs. JPMorgan’s latest research has significantly raised its global storage market forecast, projecting the total market to reach $1.7 trillion by 2028, with NAND revenue climbing from $71 billion in 2025 to over $400 billion in 2026. More importantly, JPMorgan notes that storage chips are shifting from traditional cyclical commodities to strategic core assets in AI infrastructure.
On the supply side, dynamics are equally noteworthy. Samsung Electronics and SK Hynix have adopted proactive supply control strategies, prioritizing profit by keeping NAND wafer output low and channeling capex into high-margin HBM product lines. This structural supply contraction, combined with surging demand, is reshaping NAND pricing logic. Historically, NAND flash has suffered from oversupply and price volatility due to relatively low technical barriers, but the rapid adoption of high-performance NAND technologies—like enterprise QLC SSDs and high-bandwidth flash—is redefining its profit structure. As one industry insider put it, for today’s NAND flash, maintaining prices and restoring profitability is more rational than blindly expanding output.
Market Landscape: Six Major Players, Samsung Leads but Uncertainty Remains
According to Counterpoint’s Q1 2026 NAND flash market tracking report, global NAND revenue hit a record $46 billion, up 246% year-over-year and 90% quarter-over-quarter. Enterprise SSDs accounted for 43% of total NAND volume, and this share is expected to surpass 60% by the end of 2026.
In terms of competition, Samsung holds the top spot with a 29% market share, followed by SK Hynix at 18%. The battle for third place is fierce—Kioxia holds 14%, while Micron, SanDisk, and YMTC each claim 13%, putting four companies in the same tier. YMTC was the standout performer this quarter, with revenue surging about 445% year-over-year and market share jumping from 8% to 13%. According to Counterpoint Research Director Hwang, if YMTC succeeds in its IPO, it will have the capacity to further expand production and business scale, potentially surpassing Kioxia and Micron to become the world’s third-largest NAND manufacturer.
Kioxia has also made headlines in the capital markets, with its stock price repeatedly hitting record highs and briefly overtaking Toyota in market cap to become Japan’s second most valuable listed company. In fiscal 2025, Kioxia posted revenue of ¥2.34 trillion, up 37% year-over-year, and net profit of ¥876.2 billion, a 93.4% increase.
Samsung Electronics, Micron Technology, and SK Hynix have all crossed the trillion-dollar market cap threshold. Industry experts believe that data storage, as the foundational resource for AI systems, is becoming a key pillar in the AI era. Storage chips, once considered highly cyclical and volatile, are now entering a longer, structurally robust growth phase.
On the technology front, all major players are accelerating their push into high-performance NAND products for AI inference. Kioxia has launched high-speed SSDs targeting AI workloads, aiming for up to 10 million IOPS, and is developing a 5TB high-bandwidth flash module prototype for 2025 with 64GB/s bandwidth, seeking to connect NAND directly to GPU memory buses. Samsung continues to iterate its ninth-generation V-NAND, focusing on higher I/O speeds and storage density. At CES 2026, SanDisk showcased revamped Optimus series SSDs for both consumer and enterprise markets, targeting content creators, gamers, and AI PCs.
All these technology paths point in the same direction: NAND flash is being redefined from a "cheap storage semiconductor" into a core component of AI infrastructure. As NAND’s role expands from simple data archiving to storing and managing the massive intermediate data and context generated during AI inference, its strategic value has fundamentally changed.
SanDisk (SNDK): The Pure-Play NAND Giant’s Independence Dividend and AI Opportunity
In the NAND industry’s supercycle, SanDisk (ticker: SNDK) stands out as one of the most talked-about stocks. On February 24, 2025, SanDisk completed its spin-off from Western Digital, becoming an independent, pure-play flash storage company. The timing was highly strategic—the newly independent SanDisk entered the "storage supercycle" driven by generative AI, free from the valuation drag of HDD operations that plagued the past decade.
On the fundamentals, SanDisk is experiencing explosive growth. According to its latest financials, SanDisk posted 251% year-over-year revenue growth in Q3 2026, with EPS beating analyst consensus by over 63%. Adjusted EPS for the first nine months of fiscal 2026 reached $31.32, with full-year estimates at $62.82. For fiscal 2027, Wall Street analysts now expect SanDisk’s adjusted EPS to average around $175.
Tight supply further underscores the market’s appetite for SanDisk products. Widely reported across the market, SanDisk’s entire 2026 capacity is already sold out, and 2027 production is being booked quickly. Customers are shifting from quarterly price negotiations to multi-year agreements to secure supply. This change could significantly reduce the cyclicality in SanDisk’s valuation.
Zacks Research’s latest forecast reinforces this outlook: SanDisk’s revenue and earnings growth for fiscal 2027 are both projected to exceed 100%, with consensus EPS estimates rising 76.1% in just 60 days. Charles Schwab even named SanDisk as a core driver of S&P 500 earnings growth in 2026.
The underlying logic for this rapid growth is NAND’s irreplaceable role in AI inference. Each AI inference workload deployment requires several times more NAND storage than traditional enterprise workloads. As major cloud providers and tech companies continue to scale out inference infrastructure, enterprise SSD demand is systematically amplified. JPMorgan projects the enterprise SSD market will surpass 500 exabytes (EB) in 2026, accounting for 43% of total NAND demand, and expects it to grow at a 52% CAGR to over 1,100 EB in the next two years.
Of course, the market’s rapid rise has sparked debate over valuation. Among 25 analysts’ twelve-month price targets, SanDisk’s average target is around $1,398, with the most bullish at $3,250 and the lowest at just $63—a wide range. Some, like Morningstar, believe current prices may already reflect some bubble risk. Yet, given the fundamental trends and structural industry changes, SanDisk’s growth potential still appears underappreciated.
Gate Stock Trading: A Bridge Between Digital Assets and the Storage Sector
With AI inference-driven storage demand continuing to surge, gaining exposure to NAND-related US equities is becoming increasingly strategic for investors. On June 1, 2026, Gate officially launched its stock trading service, aiming to create a unified platform connecting crypto assets with mainstream financial products. Users can now trade US stocks directly with USDT from their Gate accounts.
This product ecosystem has several notable features. First, Gate’s stock trading service is integrated with compliant brokerage infrastructure (in partnership with US broker Alpaca), supporting spot trading of over 10,000 stocks and ETFs listed on major exchanges like the NYSE and NASDAQ, covering core sectors such as technology, semiconductors, and finance. When users buy stocks on Gate, they own the underlying real shares and enjoy full shareholder rights, including dividends and stock splits, mirroring the traditional brokerage model.
Second, on the product structure side, Gate stocks and crypto assets share the same account system. Users can settle and fund trades with USDT, and fractional shares as small as 0.01 are supported, allowing investments from as little as $1. Trading fees can be as low as 0.023%, with no funding rates, swap fees, or overnight holding charges.
For those interested in storage sector investments, Gate’s stock trading service offers a convenient channel to track leading names in the NAND supply chain. From upstream NAND giants like SanDisk (SNDK) and Micron Technology (MU), to storage ecosystem players like Western Digital (WDC) and Kioxia (via the Tokyo Stock Exchange), users can access them all in one place on Gate.
From a broader perspective, the launch of Gate’s stock trading service is more than just a product addition—it’s a strategic signal. As crypto finance and traditional finance continue to converge, a super-app platform that covers cryptocurrencies, stablecoins, and mainstream securities is taking shape. For users looking to participate in both the crypto ecosystem and the storage industry investment cycle, Gate Stocks offers a compliant, transparent, and convenient one-stop solution.
Conclusion
The story of AI goes far beyond GPUs. As inference deployment scales up, NAND flash is becoming the second major infrastructure bottleneck after compute. From Q1 2026 global NAND revenue surpassing all of 2023, to enterprise SSD prices soaring 80% in three quarters, to TrendForce raising its full-year NAND market forecast to $270.6 billion—all these data points point in one clear direction: storage demand has been systematically underestimated, and that underestimation is now being corrected.
Against this backdrop of structural change, the independently listed SanDisk, as a pure-play NAND stock, has become a leading indicator for AI inference storage demand with its 251% quarterly revenue growth, fully sold-out capacity, and earnings growth far exceeding industry expectations. Meanwhile, the launch of Gate’s stock trading service offers crypto-native users a compliant and convenient path to directly participate in this unfolding storage supercycle.
As the industry is witnessing, AI inference is no longer just about compute—storage is writing its own growth narrative. This cognitive leap from "AI is just a GPU story" to "storage is a strategic asset" may be only just beginning.
