单周涨37% 存储牛股闪迪再创新高

Core Viewpoint - The storage sector, viewed as "AI working memory," is experiencing unprecedented value reassessment as the AI wave shifts from training to large-scale inference applications [1][2]. Group 1: Market Performance - In the first complete trading week of 2026, all three major U.S. stock indices saw significant gains, with the Dow Jones up 2.32% to 49,504.07 points, the S&P 500 up 1.57% to 6,966.28 points, and the Nasdaq up 1.88% to 23,671.35 points, with both the Dow and S&P 500 reaching all-time closing highs [1]. - Storage concept stocks also surged, with SanDisk rising 37.12%, Micron Technology up 9.41%, Western Digital increasing by 6.8%, and Seagate Technology up 5.73% [1]. Group 2: Demand and Price Dynamics - A recent report from Nomura Securities indicated that demand for enterprise-level SSDs using large-capacity 3D NAND remains robust, with SanDisk potentially raising prices by over 100% in the current quarter [1][3]. - Analysts noted that multiple storage suppliers are continuously pushing prices higher, particularly for enterprise-grade NAND, driven by strong demand for AI applications [2][3]. Group 3: AI and Data Growth - Bank of America Merrill Lynch analysts predict that 2026 will mark a turning point for enterprise and edge AI, with exponential growth in data generation due to the proliferation of multimodal AI, which will drive hardware spending cycles [2]. - IDC forecasts global annual data generation to soar from 173 ZB in 2024 to 527 ZB by 2029, representing over a twofold increase in five years, with a compound annual growth rate of approximately 25% [2]. Group 4: Supply Chain and Pricing Strategies - Memory suppliers are planning to increase enterprise-level 3D NAND prices in response to both short-term shortages and mid-term demand growth driven by AI [3]. - As AI training and inference demand rises, supply tightness is supporting price increases, with reports indicating that Samsung and SK Hynix are seeking to raise server DRAM prices by 60% to 70% in the first quarter compared to Q4 of the previous year [3].