湘财证券：算力需求高景气 端侧AI持续迭代

Core Insights - The development of generative AI technology is driving a hardware innovation wave in consumer electronics, with a focus on edge AI deployment and the increasing demand for ASICs due to their cost-effectiveness and customization advantages [1][2]. Group 1: AI Technology and Consumer Electronics - The traditional consumer electronics market has entered a phase of low growth, with stable sales for smartphones and PCs, while TWS is experiencing slow growth [1]. - The release of ChatGPT has prompted companies to invest in large model technologies, leading to continuous iterations in AI models [1]. - Edge AI offers advantages such as low cost, high performance, and privacy security, facilitating the deployment of AI technologies in consumer electronics [1]. Group 2: ASIC Market Growth - The ASIC market is expected to grow significantly, with a forecasted increase from $6.6 billion in 2023 to $55 billion by 2028, representing a compound annual growth rate (CAGR) of 53% [2]. - Major companies like Google and Amazon are actively supplying ASICs, indicating strong demand and commercial viability for these chips [2]. Group 3: PCB Market Dynamics - The capital expenditure by AI and internet giants on data centers is projected to grow at a CAGR of 21% until 2029, driving the expansion of computing clusters [3]. - The increasing complexity of AI servers and high-speed switches is leading to a rise in PCB value, with both volume and price increasing rapidly in the AI PCB market [3]. Group 4: Edge AI Implementation - The advancement of model compression technology is laying the groundwork for deploying large models on edge devices, enhancing the application of AI in smartphones [4]. - Companies like Huawei and ByteDance are showcasing the significant application value of edge AI in mobile devices, with predictions of a CAGR of 115% for advanced AI processors and 32% for AI smartphones from 2023 to 2027 [4]. Group 5: Investment Recommendations - Companies to watch in the edge AI sector include Rockchip (603893.SH), Hengxuan Technology (688608.SH), Espressif Systems (688018.SH), Zhongke Blue Communication (688332.SH), and Horizon Robotics (09660) [5]. - In the ASIC sector, recommended companies include Chipone Technology (688521.SH), Aowei Technology (688220.SH), and Cambricon Technologies (688256.SH) [5].