Semiconductor News 20260623

Today’s semiconductor news highlights how the rapid expansion of AI demand is driving the entire industry and accelerating structural changes in the supply chain.In the HBM (High-Bandwidth Memory) market in particular, SK Hynix is showing momentum that surpasses Samsung, and with tight memory supply driving up corporate IT costs, building AI infrastructure has become the market’s top priority.Additionally, in Japan, TAI—a startup spun off from Tohoku University—has partnered with Malaysia’s Oppstar to begin developing low-power edge AI chips, while power semiconductor manufacturers such as Mitsubishi Electric and ROHM are garnering attention for technologies that support energy efficiency in data centers.Meanwhile, massive investments in materials development aimed at the 1-nanometer generation and a series of entries into the AI chip sector from companies outside the semiconductor industry indicate that semiconductor technology has become a competitive factor that transcends industry boundaries.Amid intensifying strategic moves by NVIDIA and escalating global investment competition, the key to future growth for Japanese companies lies in how they can capitalize on this trend and establish their own unique positions.

Main News

1. The HBM Boom Transforms South Korea’s Chip Industry; SK Hynix Overtakes Samsung
   Driven by the explosive growth in AI demand, the high-bandwidth memory (HBM) market is reshaping the semiconductor industry landscape.While Samsung Electronics has historically led the memory market, SK Hynix is now showing signs of pulling ahead in terms of market capitalization and market share, backed by its dominance in the HBM sector. This transformation goes beyond mere memory supply, highlighting the importance of HBM as a strategic asset that determines AI computing power.
2. AI Devours Memory Supply; Price Surge Shakes Up Corporate IT
   Due to the rapid expansion of AI infrastructure, demand for high-performance memory continues to far outstrip supply.Chronic shortages of DRAM and NAND flash memory are fundamentally disrupting the procurement strategies of enterprise IT departments and equipment manufacturers, leading to unpredictable price spikes. While major memory manufacturers are posting record-high profits, the overall market is facing increasingly severe disruptions due to supply shortages.
3. Japan’s Major Bathroom Company to Invest 80 Billion Yen Over the Next Five Years to Expand Development of 1-nanometer Chip Materials
   A major Japanese manufacturer has announced plans to invest 80 billion yen over the next five years in semiconductor material development with a vision for next-generation 1-nanometer processes. With advances in AI technology, the importance of advanced materials essential for miniaturization is increasing, and the company aims to leverage existing manufacturing technologies to secure new competitive advantages in the semiconductor supply chain.
4. Toto is reportedly expanding its investment in semiconductor materials for the 1nm era, driven by advancements in AI.
   Against the backdrop of the AI ​​era, investment in advanced materials essential for 1-nanometer generation semiconductor manufacturing is accelerating. Recognizing the importance of materials in semiconductor manufacturing processes, Toto has decided to strengthen its research and development and production capabilities. This investment will be a crucial strategic move for Japanese companies to maintain their leadership in the materials field in the semiconductor industry, which is pushing the limits of miniaturization.
5. Mitsubishi Electric, ROHM, Tatsumo… NVIDIA Is Taking Notice Too! Japan’s Top Technology Companies Supporting Energy Efficiency in AI Data Centers with “Power Semiconductors” [8 Carefully Selected Companies]
   As the increasing power consumption of AI data centers becomes a major challenge, the importance of power semiconductors—which optimize power efficiency—is rapidly rising.With the evolution of AI infrastructure—including next-generation power delivery standards spearheaded by NVIDIA—Japanese technology companies such as Mitsubishi Electric, Rohm, and Tatsumo are drawing significant attention. Through their proprietary technologies that enhance energy efficiency, these companies are strengthening their presence as key players supporting the global development of AI infrastructure.
6. Japanese semiconductor startup TAI and Malaysia’s Oppstar sign joint development partnership for AI semiconductors
   TAI, a startup originating from Tohoku University, and Oppstar from Malaysia have partnered to jointly develop reconfigurable chips for edge AI with low power consumption. By combining Japan’s AI implementation capabilities with Malaysia’s design capabilities, we aim to commercialize applications in railways, smart manufacturing, logistics infrastructure, and more. This partnership is positioned as a project to support the national strategies of both countries.
7. Tomson Beiken invests 50 million yuan in microconductors — ‘Health Food King’ expands into AI inference chip field across industries
   Major health food company Tomson Beken has invested 50 million yuan in microcrystal semiconductors, marking a cross-industry entry into the AI inference chip sector. This investment, which goes beyond the boundaries of core business, symbolizes the current situation where AI technology is essential for streamlining diverse industries. Anticipating the growing demand for AI inference chips, the company aims to establish a foothold in the semiconductor sector as a new growth engine.
8. MSScorps Expands Investment in Taiwan for Silicon Photonics Once Again
   MSScorps is further expanding its investment in Taiwan in silicon photonics technology, which is essential for next-generation communications and increasing data center speeds.As the importance of optical communication technology grows, the company plans to leverage Taiwan’s robust semiconductor ecosystem to accelerate development and establish mass production capabilities. This investment is expected to strengthen the company’s competitive edge in the global race for AI infrastructure.
9. While the price of the Samsung Galaxy A37 has increased due to rising memory costs, the S26 remains unchanged.
   Rising memory costs are affecting smartphone pricing. While Samsung raised the price of its mainstream Galaxy A37, it has taken a strategy of keeping the price unchanged for its flagship S26. This is seen as a decision that balances brand strategy when passing on cost increases to prices and price competitiveness to maintain market share.
10. The Deeply Regrettable Reason Why NVIDIA’s CEO Visited Taiwan and South Korea but “Passed Right By” Japan
    NVIDIA’s CEO has sparked debate by visiting Taiwan and South Korea to strengthen ties with key semiconductor partners, while skipping a visit to Japan.This is believed to stem from the position of Japanese companies within the AI semiconductor supply chain, as well as shifts in priorities regarding the supply of advanced packaging and memory. This highlights the challenges Japan faces in establishing a stronger presence in the global AI supply chain.

News List (202 items)

This article is delivered every morning via an automated collection and AI-generated system. Number of items collected: 202 | Last updated: 20260623

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