AI手机芯片有望成为最大端侧芯片市场

Investment Rating - The report maintains an "Outperform" rating for the AI mobile chip industry [1][49]. Core Insights - The AI mobile chip market is expected to become the largest segment of edge-side chips, driven by high penetration rates of AI smartphones, with a projected compound annual growth rate (CAGR) of 63% from 2023 to 2028 [2][4]. - By 2024, 16% of global smartphone shipments are expected to be AI smartphones, increasing to 54% by 2028, indicating a significant shift towards AI capabilities in mobile devices [2][22]. - Major competitors in the AI mobile chip market include established players like Apple, Qualcomm, and MediaTek, which are expected to catalyze further growth in the AI chip market [2][4]. Summary by Sections 1. Mobile Chip Development History - The evolution of mobile phones has seen significant milestones, from the first portable phone by Motorola in 1983 to the introduction of 5G smartphones by Apple in 2020 [7][18]. - The smartphone market has reached a saturation point, with global shipments declining by 12% in 2022 due to reduced demand [18][20]. 2. AI Mobile Phones and Chips - AI smartphones are emerging as a new highlight in the market, with traditional mobile chips facing limitations in AI capabilities [22][26]. - The development of Neural Processing Units (NPUs) is crucial for enhancing AI functionalities in mobile devices, although challenges remain in optimizing performance and energy efficiency [28][30]. - The deployment of small language models (SLMs) is expected to drive demand for AI mobile chips, as they can be effectively utilized in mobile environments [31][34]. 3. Current Progress of Major Manufacturers - Qualcomm's Snapdragon 8 Gen3 chip is designed for generative AI applications, supporting large language models (LLMs) and visual language models (LVMs) [36]. - MediaTek's Dimensity 9300 chip aims to provide a comprehensive toolchain for developers to deploy multimodal applications efficiently [38]. - Apple's M4 chip, built on a 3nm process, features a dedicated NPU for accelerating AI tasks, significantly enhancing performance compared to previous models [41]. 4. Key Conclusions - The demand for AI chips is expected to surge, driven by the capabilities of large language models and the need for enhanced AI functionalities in mobile devices [44]. - The AI mobile chip market is poised to redefine the ecosystem of edge products, potentially setting new standards for mobile technology [44].