ASC Global Component Compass banner featuring a Qualcomm chip and red upward arrow symbolizing rising chip prices. The report covers Qualcomm’s double-digit chip price increases amid supply pressures, TSMC building nearly 20 fabs as AI demand outpaces capacity, China pausing new battery storage factory approvals amid oversupply, SK hynix advancing 1c DRAM for next-generation HBM4E, Kioxia advancing CXL memory as AI workloads strain DRAM capacity, and Nexperia and Aurobay targeting GaN and SiC powertrain innovation.

Qualcomm Begins Double-Digit Chip Price Increases Amid Supply Pressures

Qualcomm has begun implementing double-digit price increases on certain chips shipped from September 1, citing rising supplier and manufacturing costs it can no longer fully absorb. The adjustment affects multiple product lines, including Snapdragon processors and modems, adding pressure to device manufacturers already facing higher memory and component costs. The move demonstrates how semiconductor supply-chain inflation is increasingly flowing downstream toward electronics manufacturers and customers.

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NVIDIA AI expansion banner highlighting the company’s partnership with Wall Street to finance large-scale artificial intelligence infrastructure and technology expansion.

Samsung Electro-Mechanics Secures Record AI Server MLCC Contract

Samsung Electro-Mechanics secured a record 1.07 trillion won contract to supply MLCCs for AI servers to a major global customer throughout 2027. The deal lifts its disclosed long-term agreements to 3.32 trillion won. AI servers use more than 10 times the MLCCs of conventional servers, driving demand for high-reliability components. Samsung is expanding production in the Philippines and Korea to support surging AI-related demand.

TSMC Builds Nearly 20 Fabs As AI Demand Outpaces Capacity

TSMC’s equipment requirements have surged 90% in just six months as AI-driven semiconductor demand accelerates at an unprecedented pace. The company is now building nearly 20 fabs worldwide, 13 in Taiwan and five to six overseas—to address capacity shortages. Despite this massive expansion, customers continue reporting insufficient capacity, highlighting constraints across equipment, construction, labor, packaging, testing, and the broader semiconductor supply chain.

NVIDIA AI expansion banner highlighting the company’s partnership with Wall Street to finance large-scale artificial intelligence infrastructure and technology expansion.
Apple and Samsung premium smartphone strategy banner highlighting changing hardware approaches, advanced components, and evolving semiconductor technologies shaping the high-end mobile electronics market.

China Pauses New Battery Storage Factory Approvals Amid Oversupply

China has temporarily halted approvals for new battery storage manufacturing projects, highlighting concerns surrounding rapid capacity expansion in the world’s leading energy-storage battery manufacturing base. The pause could slow new factory investments and reshape global supply dynamics for battery cells and energy-storage systems. With China already dominating production, tighter project approvals may signal efforts to manage capacity and stabilize the industry.

SK hynix advances 1c DRAM production for next-generation HBM4E

SK hynix is rapidly expanding advanced 1c DRAM production as it prepares for HBM4E mass production in 2027. The company expects 1c to reach 35% of DRAM output in Q1 2027, overtaking 1b as its main process. The transition could improve wafer productivity, cost efficiency, and support rising AI memory demand, although successful yields and customer qualification remain critical to the ramp.

Intel foundry expansion banner highlighting the company’s $20 billion funding initiative to expand semiconductor manufacturing capacity and strengthen its advanced chip production strategy.
SK hynix and Kioxia semiconductor banner highlighting SK hynix’s growing strategic influence over Kioxia’s ownership and its implications for the global memory market.

Kioxia advances CXL memory as AI workloads strain DRAM capacity

Kioxia is preparing to sample its CXL memory modules, designed to expand usable memory capacity while reducing latency by more than 90% versus conventional approaches. Simulations indicate replacing one-third of DRAM with CXL could limit performance degradation to under 5%, while equivalent-cost configurations could double capacity and improve performance 1.3x. Kioxia also reaffirmed close collaboration with NVIDIA on its CMX architecture for AI inference.

Nexperia and Aurobay Target GaN, SiC Powertrain Innovation

Nexperia and Aurobay Technologies are exploring GaN and SiC semiconductor solutions for next-generation electrified and hybrid powertrains. Building on successful GaN deployment in a range-extender power-generation system, the companies will evaluate traction inverters and power-generation architectures. Their collaboration aims to improve efficiency, power density, system performance, and packaging through early-stage semiconductor co-design and system-level optimization, supporting more compact, high-performance automotive power electronics.

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NVIDIA Acquires Hugging Face to Expand Open AI Ecosystem

NVIDIA is acquiring Hugging Face for $12.9 billion, strengthening its position across the AI software ecosystem. Hugging Face hosts millions of models, datasets, and applications used by more than 18 million developers. The platform will remain open-source and support multiple clouds, frameworks, and computing platforms. The deal gives NVIDIA deeper access to AI developers while expanding its strategy beyond GPUs into models, software, and inference.

IQE Extends Quintessent Agreement Supporting Photonic AI Technologies

IQE has extended its supply agreement with Quintessent, strengthening collaboration around advanced semiconductor materials for photonic applications. The agreement supports Quintessent’s development of integrated laser technologies targeting AI and high-performance computing infrastructure. The partnership highlights growing demand for compound semiconductor materials as optical interconnects become increasingly important for moving data efficiently between processors, memory, and networking systems in next-generation AI data centers.

Infineon and Skeleton Develop Power Solutions for AI Datacenters

Infineon and Skeleton Technologies have signed an MoU to develop high-efficiency power solutions for AI data centers. Their collaboration targets solid-state transformers using Infineon’s CoolSiC power semiconductors and Skeleton’s supercapacitor technology, alongside GaN-based peak-shaving systems. The goal is to increase power density, efficiency, and resilience across the grid-to-core power chain as AI workloads drive rapidly rising electricity demands and increasingly dense data-center infrastructure.

ASML Japan Plans Major Workforce Expansion For Advanced Chips

ASML Japan plans to expand its workforce by nearly 40% by 2030 as demand for advanced semiconductor manufacturing equipment accelerates. The expansion reflects Japan’s growing investment in advanced chip production and ASML’s increasing role in supporting new fabrication capacity. The company’s workforce growth highlights how semiconductor equipment suppliers are scaling operations alongside expanding fabs, particularly as AI and advanced-node technologies drive demand for increasingly sophisticated manufacturing capabilities.

KYOCERA AVX Launches Vibration-Resistant Capacitors For Industry

KYOCERA AVX has introduced AEVA and AEVB aluminum electrolytic capacitors designed for industrial electronics exposed to high vibration and temperature extremes. Their reinforced construction withstands acceleration up to 30g while delivering high capacitance, low ESR, and long endurance. AEVA operates from -55°C to +125°C, with capacitance up to 4,700µF and voltage ratings up to 100V, targeting demanding industrial and power applications requiring greater mechanical reliability.

Nanopower Launches Ultra-Low-Power IC For Battery-Constrained IoT

Nanopower has launched the nPZ2100, an ultra-low-power IC designed to manage sensors and peripherals while keeping the main MCU powered down. With just 200nA typical idle current, it can independently control up to six peripherals, reducing unnecessary wake-ups and energy consumption. The device targets wireless IoT sensors, wearables, asset tracking, smart buildings, industrial monitoring, and energy-harvesting applications requiring extended battery life.

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