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Innoscience's GaN Patent Win and Strategic Partnerships Boost Market Attention

#港股 #專利訴訟 #半導體 #戰略合作
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HK Stock
December 17, 2025
Innoscience's GaN Patent Win and Strategic Partnerships Boost Market Attention

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Comprehensive Analysis

The East Money App Hot List shows that Innoscience’s popularity rose on December 17, 2025, directly due to being ruled not infringing on two GaN patents in the ITC 337 investigation. This has reduced the short-term risk of product sales bans in the U.S. market to some extent and also catalyzed market sentiment [0][1][2]. At the same time, even though Infineon has won some cases in Germany and the ITC, Innoscience’s successful defense proves the independence of its GaN technology route, and it has formed multiple growth paths through collaborations with ON Semiconductor, NVIDIA, and United Power [2][3][4][5]. The company has established an industry-leading 200mm silicon-based GaN production capacity and vertical integration capabilities from wafer to packaging, which can serve high-demand areas such as AI data centers, automotive, and industrial sectors; coupled with Navitas and other manufacturers and Infineon continuing to expand their layouts, the competitive landscape remains tense [3][4][5][6].

Key Insights

The patent victory not only reduces specific legal risks but also strengthens negotiation leverage with customers: The collaboration with ON Semiconductor is expected to provide samples in the first half of 2026, verifying the expansion capability of the 200mm process; the NVIDIA collaboration will embed the company into the GaN supply chain of AI data center power systems; United Power’s 6.6kW GaN on-board charging system has achieved mass production and installation, further proving the product’s reliability in high-voltage scenarios [3][4][5]. The GaN market has a 42% compound annual growth rate and a terminal space of $2.9 billion. If the above collaborations can be converted into mass production orders from major customers, Innoscience is expected to become an important node driven by domestic GaN substitution and exports [3].

Risks and Opportunities
  • Risks
    1. Patent litigation is still ongoing: The ITC is awaiting the final ruling in April 2026, and cases in Germany and other jurisdictions are still progressing. If there are new unfavorable judgments, it will trigger sales ban or compensation risks again [2].
    2. Uncertain commercialization pace: ON Semiconductor’s samples have not yet achieved mass production; the order scale and pricing details with NVIDIA and Changan are yet to be confirmed; there is a lack of verifiable data in short-term performance disclosures [3][4][5].
    3. Sustained competitive pressure: Infineon’s massive patent portfolio and domestic and foreign peers such as Navitas are accelerating capacity expansion. If technological progress or customer switching occurs, market share may be eroded [2][6].
    4. Information disclosure limitations: Newly listed companies on the Hong Kong Stock Exchange still have insufficient public financial information and real-time market data; valuations and liquidity are easily driven by market sentiment [0].
  • Opportunities
    1. The patent victory releases legal risks and clears obstacles for exports and international collaborations [1][2].
    2. The high-growth GaN market and policy support provide a background for scaling, especially with simultaneous demand outbreaks in AI, automotive, and industrial sectors [3][4][5].
    3. Collaborations with NVIDIA, ON Semiconductor, United Power, etc., provide verification cases for customized high-voltage solutions, helping to expand high-end customer groups [3][4][5].
Key Information Summary

Innoscience made it to the East Money Hot List due to the emotional recovery brought by the patent litigation victory and the accelerated implementation of strategic partnerships. Although further observation of the ITC’s final ruling, mass production orders, and financial disclosures is still needed, under the high-growth trend of the GaN industry, the company has established multiple entry points in the overall supply chain and key customer chains.

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.