Core Viewpoint - The article highlights the increasing importance of storage solutions in the automotive industry, particularly in the context of smart vehicles and the growing demand for AI capabilities, which is leading to a supply crisis in automotive-grade storage components [1][3][19]. Group 1: Market Dynamics - Starting from the second half of 2025, the surge in AI computing infrastructure is igniting a cycle of price increases and shortages in the storage market [1]. - The automotive sector is facing a "storage crisis" due to the rising demand for AI in smart cockpits and advanced driver-assistance systems, coupled with a global shift of suppliers towards AI production [1][3]. - The cost of automotive-grade memory is skyrocketing, with quarterly increases reported as high as 50%, and some forecasts predicting that the supply satisfaction rate for automotive-grade storage could fall below 50% by 2026 [1][4]. Group 2: Storage Requirements in Smart Vehicles - The demand for storage in smart vehicles has evolved from basic functions to becoming a critical component for real-time data processing from various sensors, making it essential for the development of software-defined vehicles (SDVs) [3][4]. - High-end smart vehicles typically require 4-16 DRAM chips and 2-6 NAND Flash chips, with costs rising from $40-90 in early models to $90-220 in current mid-to-high-end models, and potentially exceeding $500 for advanced models [4][7]. Group 3: Competitive Landscape - The disparity in capabilities among storage suppliers is evident, with many only able to provide consumer-grade storage that does not meet the stringent requirements of automotive applications [1][10]. - Jiangbolong, a company with seven years of experience in automotive-grade storage, is positioned to fill this critical gap by transitioning from a background player to a front-line provider [1][19]. Group 4: Jiangbolong's Strategic Positioning - Jiangbolong has developed a comprehensive range of automotive-grade storage products, having established deep partnerships with over 20 OEMs and 50 Tier 1 automotive clients, ensuring high market recognition and collaboration [8][19]. - The company has implemented a dual business model (TCM and PTM) to enhance supply chain stability and provide customized solutions, addressing the challenges posed by the current supply crisis [10][13][16]. Group 5: Future Outlook - The rise of edge AI is transforming the role of storage in vehicles, making it a vital component for processing vast amounts of sensor data in real-time [19][20]. - Jiangbolong aims to leverage its proprietary technology and collaborative ecosystem to ensure a stable supply of high-performance storage solutions, even as demand shifts towards data centers [19][20].
汽车存储告急，如何破局？