Semiconductor market quarterly revenue breaks $300 billion for the first time: AI and storage as twin engines drive structural transformation of the industry

Semiconductor Market Quarterly Revenue Surpasses $300 Billion for the First Time: AI and Memory Drive Structural Transformation of the Industry

In the first quarter of 2026, the global semiconductor market reached a historic milestone—quarterly revenue exceeded the $300 billion mark for the first time. According to the latest report from market research firm Omdia, the semiconductor market in Q1 2026 reached $319 billion, a 27% quarter-on-quarter increase, the highest growth rate since quarterly data became available in 2002. This marks the third consecutive quarter of double-digit sequential growth, with total revenue for the first half of 2026 expected to surpass $700 billion.

This milestone is no accident, but rather the combined result of a surge in AI infrastructure investment and a severe imbalance between supply and demand for memory chips.

I. What Happened?

Omdia data shows that the semiconductor market grew 27% quarter-on-quarter to $319 billion in Q1 2026, with memory chips (DRAM and NAND) becoming the absolute mainstay. Memory chip revenue grew by more than 80% sequentially, accounting for over 40% of total semiconductor revenue, far exceeding the historical average share of about 20%.

NAND flash was particularly outstanding: revenue in Q1 2026 approached $48 billion, surging 96% quarter-on-quarter, with average selling prices (ASP) soaring 95%. DRAM was also strong, though specific figures were not disclosed. AI and data center demand are the main drivers, while on the supply side, capacity recovery has been slow due to technology transitions, yield ramps, and product mix adjustments. Omdia expects this trend to continue into Q2 2026.

II. Why Is This Important?

#### Impact on Technology Roadmaps

Memory chips have become a new bottleneck for AI computing power. Traditionally, AI training and inference have relied primarily on GPUs and HBM (high-bandwidth memory), but the unexpected surge in NAND ASP suggests that AI data centers' demand for storage capacity far exceeds expectations. Large model training requires massive data throughput, and NAND flash, serving as a data cache and storage layer, is beginning to show price elasticity.

On the technology front, NAND is transitioning from 128-layer to over 200-layer 3D NAND. Manufacturers such as Samsung, SK hynix, Micron, and Kioxia still face yield challenges in layer stacking and integration processes. On the DRAM side, capacity conversion between DDR5 and HBM3E has also intensified supply tightness.

#### Impact on the Industry Chain

Upstream: Memory chip manufacturers (Samsung, SK hynix, Micron, Kioxia, Western Digital) directly benefit from the price surge, with significant improvements in revenue and profit margins.

Midstream: The packaging and testing segment (ASE, Amkor, JCET) gains more orders due to increased memory chip shipments, but high-density NAND packaging places higher demands on advanced packaging capabilities.

Downstream: AI server and data center OEMs (Dell, HP, Supermicro, Lenovo) face rising storage cost pressures, which could lead to higher server prices. Cloud service providers (AWS, Microsoft, Google) will see their capital expenditures further squeezed by storage costs.Equipment and Materials: Memory chip manufacturers are increasing capital expenditures for expansion, benefiting ASML (lithography machines for advanced DRAM and NAND lithography), Applied Materials, and Lam Research (etching and deposition equipment). Photoresist and silicon wafer suppliers (Shin-Etsu Chemical, SUMCO) will also benefit.

#### Changes in Competitive Landscape

The concentration of the storage market has further increased. Although Samsung Electronics remains the global leader in semiconductor revenue, SK Hynix's leading position in HBM gives it more influence in the DRAM market. Micron is accelerating its catch-up. In the NAND field, the merger negotiations between Kioxia and Western Digital may restart due to changes in market conditions.

Non-memory chip companies (such as Nvidia, AMD, Intel) are also enjoying the AI dividend, but the explosion of memory chips has relatively reduced their market share. Nvidia's revenue in Q1 2026 may still be lower than the sum of the memory giants.

#### Regional Impact

• South Korea: Samsung and SK Hynix, as the world's top two memory manufacturers, are the biggest beneficiaries of this round of growth. South Korea's semiconductor export data is expected to rise significantly, providing a significant boost to the country's GDP.
• Taiwan, China: Although TSMC primarily focuses on logic foundry, the demand for AI chips indirectly drives advanced packaging capacity, while the rise in memory chip prices may push up the cost of downstream electronic terminals. IC design companies such as MediaTek face cost pressure.
• China: Local memory manufacturers (YMTC, CXMT) are still in a catch-up phase in NAND and DRAM, with limited capacity. The surge in memory prices will increase the cost of China's AI infrastructure construction, but it may also accelerate the process of domestic substitution.
• United States: Micron's revenue is climbing rapidly, but the U.S. is more concerned about the impact of AI chip export controls on memory manufacturers—if exports to China are restricted, it could weaken some memory demand.
• Japan: Kioxia maintains a strong position in NAND, and equipment manufacturers (Tokyo Electron) benefit from capacity expansion.
• Europe: Automotive chip manufacturers such as Infineon and NXP are less affected by memory fluctuations, but need to monitor component costs.

#### Investment Perspective

The capital market is highly enthusiastic about the semiconductor industry. The price-to-earnings ratios of memory chip companies have risen due to improved profitability. However, the sustainability of high ASPs faces uncertainty: once supply-side capacity is released (expected in the second half of 2026), prices may decline. Investors need to monitor memory manufacturers' capital expenditure plans, technology node progress, and whether downstream AI demand is sustainable.

In the long term, AI-driven memory demand is structurally growing, and the share of memory chips in the semiconductor market will increase from the past ~20% to over 30%, or even higher.

III. Long-Term Outlook (Next 3-5-10 Years)Next 3 years: The storage chip market size is expected to exceed $300 billion (annualized) by 2027, and the demand for HBM and NAND from AI servers will maintain a compound annual growth rate of over 30%. Storage manufacturers will accelerate the push towards 400+ layer 3D NAND.

Next 5 years: The total semiconductor market size is expected to break through $1 trillion (annual revenue), with the storage share remaining around 35%. Non-storage areas (CPU, GPU, analog, sensors) will also benefit from the expansion of AI edge devices.

Next 10 years: Storage technology may undergo fundamental changes, such as the gradual penetration of new non-volatile memories (MRAM, RRAM), but NAND and DRAM will still be mainstream. In terms of industrial geographical distribution, South Korea, Taiwan (China), the United States, and Japan will continue to dominate storage manufacturing, while Mainland China is expected to make breakthroughs in the mid-to-low-end storage segment.

4. Conclusion

In the first quarter of 2026, the semiconductor market broke through $300 billion, marking that AI demand for chips has transmitted from logic chips to memory chips, triggering structural imbalance. Memory chips are no longer a supporting role but the core engine driving market growth. This shift will reshape profit distribution, investment directions, and technology paths in the industry chain. For upstream and downstream enterprises, whoever can build an advantage at the intersection of storage and AI will win the ticket to the next decade. Market participants need to be wary of price fluctuation risks, but should see more of the long-term value of storage demand driven by AI.