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Memory chip giants reach 1 trillion each

2026-06-24 10:31

trillion-dollar milestone reshapes memory chip landscape

Samsung Electronics, SK Hynix, and Micron Technology have each surpassed the 1 trillion dollar valuation mark, underscoring a decisive shift in the global memory chip sector as artificial intelligence infrastructure becomes the primary growth driver.

By May 2026, the trio’s combined market value reached approximately 4.1 trillion dollars, a sixteen-fold increase over the past decade. Share prices have surged accordingly, with Micron rising 245 percent, while Samsung Electronics and SK Hynix gained 215 percent and 149 percent respectively.

Profits and revenue set to surge

Forecasts point to continued financial expansion. Combined bottom-line profit for the three companies is projected to reach 704 billion dollars by 2027, with total revenue expected to exceed 1 trillion dollars. Operating margins have already surpassed previous peaks seen in 2018, and consensus estimates suggest all three could rank among the world’s ten most profitable companies within two years.

Despite this growth, valuations remain relatively modest compared with the broader tech sector. A DRAM-focused ETF shows a median forward price-to-earnings ratio of 8.37, alongside projected earnings-per-share growth of 632 percent for the current fiscal year, indicating that rising profitability—not speculative momentum—is driving the re-rating.

Ai demand fuels historic price surge

Memory prices have climbed dramatically since early 2024, with DRAM and NAND increasing more than fivefold. The trend accelerated in 2026, when conventional DRAM contract prices jumped between 93 and 98 percent in the first quarter alone. Further gains are expected, with second-quarter forecasts pointing to increases of up to 63 percent for DRAM and 75 percent for NAND.

This surge is being driven by large-scale AI deployments. The five largest cloud companies are expected to spend between 660 billion and 725 billion dollars in 2026, with roughly 75 percent allocated to AI infrastructure. These systems require significantly more memory than traditional computing, fundamentally altering demand patterns.

Supply constraints tighten market balance

Supply has struggled to keep pace. SK Hynix controls around 58 percent of the high-bandwidth memory market and expects shortages to persist through 2030, even as it plans to double wafer capacity within five years. Building new fabrication plants remains a slow process, often taking more than three years.

Equipment bottlenecks add further pressure. ASML, the sole supplier of extreme ultraviolet lithography systems essential for advanced chips, reported a backlog of 38.8 billion euros entering 2026, with delivery times exceeding 12 months.

The complexity of high-bandwidth memory production also limits new competition. Advanced stacking and cooling technologies create high barriers to entry, allowing the top three producers to maintain near-total control over global supply.

Structural shift replaces traditional cycles

The current cycle differs sharply from previous memory booms tied to consumer electronics such as PCs in the 1990s and smartphones in the 2010s. Those periods often ended in oversupply and price collapses. Today, demand is anchored in scalable AI workloads, which require sustained, high-performance memory capacity.

Procurement strategies have shifted as well. Buyers are increasingly focused on securing allocation through multi-year contracts rather than waiting for price declines—a tactic that now carries significant risk amid persistent shortages.

ASML chief executive Christophe Fouquet recently indicated that memory producers are already sold out for 2026, with demand expected to exceed supply for the foreseeable future. Some projections suggest the global memory market could quadruple to nearly 1 trillion dollars in 2026, up from 240 billion dollars in 2025.

Uncertainty emerges despite strong momentum

Even as the sector expands, volatility remains. Micron shares recently dropped more than 13 percent in a single day ahead of earnings, reflecting unease among traders after a report suggested memory prices could peak in mid-2026—earlier than widely expected.

While the long-term outlook remains tied to AI-driven demand, the timing of peak pricing and the durability of current margins are emerging as key uncertainties in an otherwise tightly constrained market.


Explore how AI’s evolution in finance mirrors transformative demand reshaping trillion-dollar memory and semiconductor markets worldwide.

Disclaimer: The content on this page is provided for general informational purposes only and does not represent the views or financial advice of Toobit. We make no guarantees regarding the accuracy or completeness of this information and shall not be held liable for any errors, omissions, or outcomes resulting from its use. Investing in digital assets involves risk; users should independently evaluate their financial situation and the risks involved. For further details, please consult our Terms of Service and Risk Disclosure.

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