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【电子】充分受益AI数据中心及AR眼镜等行业增长,天岳先进进入业绩快速增长期——碳化硅行业跟踪报告之一(刘凯/于文龙)
光大证券研究· 2025-02-27 13:48
Core Viewpoint - Silicon carbide (SiC) is a compound material composed of carbon and silicon, known for its high hardness and excellent physical and chemical properties, making it a key material for cost reduction and efficiency improvement across various industries [2] Group 1: Characteristics and Advantages of Silicon Carbide - SiC materials possess characteristics such as high pressure resistance, high frequency tolerance, high thermal conductivity, high temperature stability, and high refractive index, which are crucial for transforming the semiconductor industry and supplementing silicon-based technologies [2] - Compared to silicon-based semiconductors, wide bandgap semiconductors represented by SiC and gallium nitride (GaN) exhibit significant performance advantages from material to device level, including high frequency, high efficiency, high power, high pressure resistance, and high temperature tolerance [2] Group 2: Market Potential and Applications - SiC materials have vast market application potential in power semiconductor devices, radio frequency semiconductor devices, and emerging application fields, with significant usage in xEV, photovoltaics, energy storage systems, power grids, rail transportation, communication, AI glasses, smartphones, and semiconductor lasers [3] - The global penetration rate of SiC power semiconductor devices in the overall power semiconductor market increased from 1.1% in 2019 to 5.8% in 2023, with expectations to reach 22.6% by 2030 [4] Group 3: Growth Trends and Projections - From 2019 to 2023, the compound annual growth rate (CAGR) of global revenue from SiC power semiconductor devices in the xEV sector reached 66.7%, with a projected CAGR of 36.1% from 2024 to 2030, indicating continued leadership in market growth [4] - The photovoltaic storage, power grid, and rail transportation sectors also show strong growth momentum, with projected CAGRs of 27.2%, 24.5%, and 25.3% respectively during the forecast period [4]