Semiconductor Market Quarterly Revenue Surpasses $300 Billion for the First Time: A Historical Turning Point Driven by Memory and Industrial Chain Restructuring

Event Overview

On June 10, 2026, Omdia released a research report stating that the global semiconductor market revenue reached $319 billion in the first quarter of 2026, a 27% quarter-on-quarter increase, setting the highest quarterly growth rate since quarterly data became available in 2002. Among this, memory (DRAM and NAND) revenue surged by over 80%, accounting for more than 40% of total semiconductor revenue for the first time, far exceeding the long-term average of about 20%. NAND revenue reached $48 billion, skyrocketing by 96% quarter-on-quarter, with average selling prices (ASP) soaring by 95%. Non-memory semiconductor revenue grew by only about 2%, but this was already better than the historical seasonal pattern of a roughly 4% quarter-on-quarter decline.

Omdia expects the second quarter to maintain over 20% quarter-on-quarter growth, with total revenue in the first half potentially exceeding $700 billion. The threshold of breaking $1 trillion for the full year is within close reach.

Industry Background: From "King of Cycles" to "Structural Shift"

The semiconductor industry has historically been known for its strong cyclicality, especially the memory market, which experiences drastic fluctuations due to supply-demand mismatches. The downturn cycle of 2018-2019 once devastated the industry, but the AI wave of 2023-2024 completely reversed the situation. Over the past three years, the explosive demand for AI memory, represented by HBM (High Bandwidth Memory), has transformed DRAM and NAND from "commodities" into "strategic resources."

What is particularly striking about this Q1 data is that memory revenue share exceeded 40%, and price increases far surpassed historical norms. This is no longer a simple cyclical recovery but a structural demand shift driven by AI infrastructure investment.

Technology Impact: AI-Driven Reshaping of Memory Technology

• DRAM Direction: HBM3E and HBM4 have become standard for AI accelerators, driving continuous improvements in single-chip capacity and bandwidth. The three major manufacturers—Samsung, SK Hynix, and Micron—are shifting most of their advanced production capacity toward HBM-type products, squeezing traditional DRAM supply and causing DDR5 and LPDDR5 prices to rise simultaneously.
• NAND Direction: The storage demand from AI data centers (especially large-capacity SSDs) is accelerating the adoption of QLC and PLC technologies. The average capacity of enterprise SSDs has jumped from 4TB to 8TB/16TB, driving NAND bit demand. Meanwhile, slow yield ramp-up for 200+ layer 3D NAND at manufacturers like Samsung and Kioxia has limited supply release, resulting in "both volume and price increases."
• Technology Barriers: The increased number of EUV lithography layers in DRAM and the difficulty of hybrid bonding processes in NAND create entry barriers. New entrants (such as Chinese manufacturers) face even greater challenges in catching up on advanced nodes.

Supply Chain Impact: "Memory-ization" of the Industry Chain### Upstream Equipment and Materials - Equipment Beneficiaries: Applied Materials (deposition/etch), Lam Research (etch/deposition), KLA (inspection) have seen significantly higher order shares in DRAM and NAND processes, especially strong demand for TSV (through-silicon via) equipment related to HBM. - Material Beneficiaries: Demand for consumables such as photoresists, specialty gases, and CMP slurries is growing with rising capacity utilization. However, due to export controls, the supply of some high-end materials remains restricted to Japanese and American companies.

Midstream Manufacturing (Fabs) - Memory Manufacturers (Samsung, SK Hynix, Micron, Kioxia/WDC) directly benefit from soaring prices, with record-high profits. They are accelerating the conversion of some logic capacity to memory capacity, though capital expenditure is more focused on HBM and advanced packaging. - Logic Foundries (TSMC, Samsung, Intel) do not directly participate in memory price hikes, but AI chip clients (NVIDIA, AMD, etc.) are actively placing orders for advanced nodes and advanced packaging, keeping capacity utilization full, thus benefiting indirectly.

Downstream Packaging and Testing - Advanced Packaging: Integration of HBM with logic chips (e.g., CoWoS, HBM stacking) has become a bottleneck. TSMC's CoWoS capacity is in short supply, while ASE and Amkor see surging orders for 2.5D/3D packaging. - Testing Equipment: Advantest and Teradyne are experiencing rapid growth in demand for memory testing (especially HBM high-bandwidth testing).

Who Faces Risks? - Non-memory Chip Manufacturers (e.g., MCU, analog chips): Face a double squeeze from rising costs (foundry price hikes) and seasonal weakness in demand. - Small and Medium Supply Chain Participants: More likely to be squeezed out in capacity allocation, especially fabless companies with limited bargaining power.

Competitive Landscape: Rebalancing of Competition

| Segment | Leader | Trend | | --- | --- | --- | | DRAM | Samsung, SK Hynix, Micron | Samsung leads, but HBM share is being caught up by SK Hynix; Micron benefits from HBM3E certification | | NAND | Samsung, Kioxia, Micron, SK Hynix (Solidigm) | Samsung's share is eroding; Kioxia ramping up after IPO; China's YMTC unable to benefit fully due to sanctions | | AI Logic Chips | NVIDIA, AMD, Intel | NVIDIA still dominates, but AMD MI400 and Intel Falcon Shores are starting to catch up | | Advanced Packaging | TSMC, ASE, Amkor | TSMC leads; Samsung I-Cube and Intel Foveros attempt to gain share |Memory manufacturers have unprecedentedly strengthened their bargaining power, and the past "PC/smartphone-driven" landscape is being replaced by an "AI data center-driven" one. Samsung, SK Hynix, and Micron have risen from "component suppliers" to "core AI infrastructure" in the strategic hierarchy of the industry chain.

Regional Implications: Reshaping the Regional Industry Landscape

• South Korea: Samsung and SK Hynix are the biggest winners. South Korea's semiconductor export share continues to rise, with the government accelerating support for large-scale clusters in Yongin and Pyeongtaek. However, heavy reliance on memory also increases economic vulnerability.
• United States: Micron is increasing investment in HBM, benefiting equipment vendors such as Applied Materials and Lam Research. The U.S. CHIPS Act is promoting domestic memory manufacturing (e.g., Micron's fab in New York), but technology spillovers remain limited.
• China: Yangtze Memory Technologies Co. (YMTC) is affected by U.S. export controls, unable to procure advanced equipment, and is in a passive position during NAND price hikes; Hefei Changxin has limited DRAM capacity. Overall, China can neither enjoy price gains nor avoid high-cost imports during the memory price upcycle.
• Japan: Kioxia has revived its IPO plans and is actively investing in NAND technologies (e.g., CBA); equipment and material suppliers such as Tokyo Electron and Shin-Etsu Chemical benefit from global capacity expansion.
• Taiwan, China: TSMC, as the logic foundry leader, does not directly benefit from memory price hikes, but surging AI chip orders keep its capacity utilization above 100%, and advanced packaging has become a new growth engine.
• Europe: Infineon, NXP, and other non-memory giants face seasonal impacts, but demand for automotive and industrial chips remains stable; overall cautious optimism.

Investment Perspective: Market Frenzy and Hidden Risks

• Short-term positives: Memory stocks (Samsung, SK Hynix, Micron) see significant EPS upgrades and record highs. Equipment stocks (Applied Materials, ASML, TEL) maintain strong order momentum.
• Long-term value: The sustainability of AI-driven structural demand is key. If AI capex slows down, memory prices could plummet sharply. History shows that memory cycle turning points often arrive faster than expected.
• Investment opportunities: Focus on advanced packaging equipment and materials (e.g., CoWoS supply chain), HBM-specific test vendors, and logic foundries benefiting from the "memory price spillover effect."

Long-Term Outlook: 3–10 Year Industry Prospects| 时间维度 | 关键变化 | | --- | --- | | Next 3 Years | AI data center demand continues, HBM/high-capacity SSDs become mainstream; memory market share may stay at 30-40%, far above historical average; non-memory market sees moderate growth driven by AI inference chips | | Next 5 Years | Memory technology evolves toward 3D DRAM and new storage types (e.g., PCM, MRAM); quantum computing may begin to impact some HPC scenarios; China's memory catch-up is slow but will accelerate mature process capacity construction | | Next 10 Years | Global semiconductor annual revenue may exceed $2 trillion, but cyclical fluctuations remain; supply chain regionalization deepens, China may form an independent memory ecosystem; integration of memory and logic (e.g., CXL protocol, in-memory computing) breaks traditional boundaries |

Industry Chain Analysis: Complete Upstream-Midstream-Downstream Impact

Upstream (Equipment/Materials) - Drivers: Memory manufacturers increase capital expenditures (Samsung's 2026 Capex expected to exceed $50 billion, most flowing to HBM and advanced nodes). - Bottlenecks: Extended lead times for lithography machines (ASML NXE:3800E) and high-precision etching equipment (Lam Kiyo series). - Risks: If AI demand falls short of expectations, equipment orders will face sharp adjustments.

Midstream (Design/Manufacturing) - Design: AI chip companies like NVIDIA, Broadcom, Marvell need to secure HBM supply, signing long-term agreements to lock in capacity; consumer design companies like Apple and Qualcomm face rising costs. - Manufacturing: TSMC's 3nm/5nm are fully loaded, but N2 (2nm) faces challenges with slower-than-expected customer adoption; Samsung Foundry seeks AI customer orders but yields still need improvement.

Downstream (Systems/Applications) - AI Servers: Average server prices rise due to memory price increases; hyperscale cloud providers (Microsoft, Google, Amazon) continue to increase capex budgets. - PC/Smartphones: Memory price hikes raise end-device costs, but incremental demand from AI PCs and AI phones partially offsets the negative impact. - Automotive: MCU and analog chip demand is weak, but demand for high-bandwidth memory from smart cockpits and autonomous driving is emerging.

Conclusion The semiconductor market exceeding $300 billion in Q1 2026 is a milestone, but it is not a cyclical peak; rather, it is an AI-driven structural watershed.The semiconductor market surpassing $300 billion in Q1 2026 is a milestone, but it is not a cyclical peak—it is an AI-driven structural watershed. The "super cycle" in the memory market is reshaping the distribution of profits, technology roadmaps, and regional dynamics across the industry chain. For investors and corporate decision-makers, the key question is: can this demand driven by AI infrastructure investment persist through 2027–2028? History may not repeat itself exactly, but the strong cyclical nature of memory has not disappeared. Current high prices and high market share represent both opportunity and risk—when supply bottlenecks are resolved or AI buyers begin to cut orders, the magnitude of a downturn could be equally large.

In the semiconductor industry chain, technological moats, supply chain locking capabilities, and regional policy support will become the core elements of future competition.