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Semiconductor Market News (JUL. 20 to JUL. 26)| HBM4 Yield Race, Samsung Lands Another MLCC Mega-Order, AI Chip Shortage at 10x…

01. NAND Flash Supply Shortage Expected to Ease in 2H27

According to a July 21 report from the Economic Daily, citing TrendForce’s monthly NAND Flash analysis for July 2026, surging AI demand and limited capacity additions have kept the market supply-constrained through 2026. Looking ahead, sustained server demand and steady bit-growth from process migrations should gradually ease tightness, with consumer electronics remaining sluggish. The imbalance is now expected to correct in the second half of 2027.

02. MCU and Analog Chip Recovery Continues but Restocking Momentum Slows

According to a July 21 Morgan Stanley survey, demand recovery for MCUs and analog chips extended into Q3, though channel growth moderated from early-year levels. The uptick is driven by genuine end-demand improvement, not inventory restocking, with purchases concentrated on low-stock items. Industrial and data-center demand is solid; automotive remains mixed. Selective tightness exists but no broad shortages. Morgan Stanley raised estimates for Texas Instruments, citing beneficiaries including Analog Devices and onsemi, yet kept TI at "Underweight."

03. Samsung Leads HBM4 Yield Race with ~70% Mass Production Yield

According to July 22 reports from Global Market Broadcast and EE Times, Samsung, SK Hynix, and Micron are in full competition over HBM4 yields. Samsung has already commenced mass production, leveraging its 1c-process DRAM (yield steadily above 80% since early 2026). Industry observers place Samsung’s HBM4 yield near 70%, with Q2 results already reflecting rising shipments and margins. SK Hynix has not disclosed exact figures but has reached a stable yield range and is negotiating new equipment to defend its >50% HBM market share. Micron, with a thinner capacity base, is ramping investment to accelerate yield improvement and capacity expansion.

04. Samsung Electro-Mechanics Secures Additional $200M AI Server MLCC Order

According to a July 23 announcement from Samsung Electro-Mechanics (as reported by Guandian), the company signed a supply contract for AI-server-specific MLCCs with a global enterprise, valued at KRW 295.1 billion (~$200 million), representing 2.6% of its 2025 consolidated revenue. The supply period covers all of 2027. This follows a KRW 450 billion order last month from another tech giant (client undisclosed due to NDAs). The deal reinforces Samsung’s long-term position in high-value-added components for AI servers and data-center infrastructure.

05. WAIC 2026 Highlights Embodied AI, Industry Empowerment, and Safe Governance

According to July 20 reports from Economic Reference, Jiemian, and United Daily, the World Artificial Intelligence Conference 2026 in Shanghai featured over 1,000 exhibitors and 3,000+ achievements, with 300+ new products debuting. Three clear themes emerged: embodied AI (AI entering the physical world), industry empowerment (transforming verticals), and safe governance (secure and ethical AI). The debut of Kimi K3, a large domestic model, drew global attention to China’s rapid iteration pace. U.S. Treasury Secretary Bessent subsequently announced an investigation into alleged "distillation theft" by Chinese AI models, hinting at possible sanctions—escalating U.S.-China AI tensions.

06. AI Chip Supply Remains Insufficient as Data Center Demand Surges

According to a July 23 report from the Economic Daily, citing NVIDIA CEO Jensen Huang’s remarks at Wistron’s new Texas plant opening on July 21, AI chip supply remains grossly insufficient, with demand growing ~25% annually. Today’s AI data centers require at least ten times the number of chips compared to traditional storage-oriented centers. He explained that legacy centers stored pre-recorded data for retrieval, whereas generative AI models now produce intelligence on demand—driving massive server build-outs. Huang also underscored AI’s job-creation impact across manufacturing, construction, energy, model development, and ultimately verticals like healthcare, transport, finance, and education. "Every industry will need to embed AI—it cannot be outsourced," he said, predicting AI will permeate all sectors and applications.

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