Core Insights - The conference highlighted the significant impact of AI on the semiconductor storage market, indicating that the demand is real and has altered the supply chain dynamics in high-tech manufacturing [3][9] - The year 2026 is viewed as a critical juncture for the industry, with various sectors expected to experience substantial growth driven by AI technologies [9] Group 1: Semiconductor Manufacturing - TrendForce forecasts a 19% annual revenue growth for the wafer foundry industry by 2026, with AI-related advanced processes expected to grow by 28%, significantly outpacing the overall market [3] - TSMC has already implemented 2nm process technology in production and plans to advance to 1nm, indicating a strong push towards cutting-edge manufacturing capabilities [3] Group 2: DRAM Market - AI servers and general servers are driving a new super cycle in the memory market, with applications related to AI and servers projected to account for 66% of total DRAM capacity by 2026 [4] - The average selling price (ASP) of DRAM is expected to increase by 36% in 2026, with revenue anticipated to surge by 56%, despite limited output growth due to cleanroom space and equipment delivery constraints [4] Group 3: NAND Flash and Storage Solutions - The NAND Flash market is transitioning from passive storage to an auxiliary computing core, with high-bandwidth flash (HBF) positioned as a cost-effective alternative to HBM [6] - A significant storage gap of 150EB is expected in the HDD market by 2026, leading to increased demand for high-density QLC eSSD [5] Group 4: AI and AR Integration - AI advancements in image recognition and language processing are enhancing the functionality of AR glasses, which are seen as the ultimate form of human-computer interaction [6] - The global shipment of AR glasses is projected to exceed 10 million units by 2030, driven by major brands like Google and Apple entering the market post-2027 [7] Group 5: Power Semiconductors - The shift in data center power supply architecture towards 800V HVDC is being driven by the rising power consumption of AI chips, with SiC and GaN technologies becoming crucial [8] - SiC is establishing a leading position in high-voltage applications, while GaN is entering a rapid growth phase across various sectors, including AI data centers and automotive [8] Group 6: Overall Industry Trends - The conference underscored a consensus that AI is catalyzing a new cycle centered around storage, with 2026 being a pivotal year for observing this trend [9]
AI驱动新周期:全球半导体存储与终端应用产业迎变局
Nan Fang Du Shi Bao·2025-11-28 12:16