人工智能系列报告：端侧智能行业：人工智能重要应用，产品落地爆发在即

Industry Investment Rating - The report provides a positive outlook on the edge AI industry, highlighting its potential as a key application of AI with significant growth opportunities [3] Core Views - Edge AI, which involves deploying AI algorithms and computing power directly on edge devices, offers advantages such as low latency, offline usability, distributed computing, cost efficiency, and enhanced data security [3] - The industry is entering a rapid development phase driven by favorable policies, technological advancements, and increasing demand, with new product launches from major players like Apple and Huawei expected to boost market sentiment [3] - The report emphasizes the importance of ecosystems, particularly those of Qualcomm and Huawei, in driving the growth of edge AI [3] Summary by Sections Edge AI: A Better Window for Human-AI Interaction - Edge AI refers to the deployment of AI algorithms and computing power directly on edge devices, enabling local data processing and decision-making without relying on cloud resources [6] - Edge AI differs from traditional cloud-based AI by combining local and cloud-based models, offering faster response times and better privacy protection [6] - Key advantages of edge AI include low latency, offline usability, distributed computing, cost efficiency, and enhanced data security [10][11] Current Main Application Scenarios of Edge AI - Major application areas for edge AI include AI PCs, AI smartphones, AI wearables, AI smart home devices, AI smart cars, and AI industrial equipment [12] - AI PCs and AI smartphones are expected to see significant growth, with AI PC penetration in China projected to reach 85% by 2027 and AI smartphone penetration expected to hit 38% by 2026 [14][15] - AI wearables and smart home devices are also poised for growth, with the global AI wearables market expected to grow from $41.9 billion in 2024 to $120.7 billion by 2028, and the global smart home market projected to reach $345.6 billion by 2032 [16][17] - In the automotive and industrial sectors, AI is driving advancements in autonomous driving and industrial automation, with the global AI manufacturing market expected to grow from $8.14 billion in 2019 to $695.16 billion by 2032 [18] Policy, Technology, and Demand Driving Industry Growth - Favorable policies at both national and local levels are supporting the development of edge AI, with initiatives aimed at promoting AI standardization, consumer electronics innovation, and industrial transformation [20] - Technological advancements in processors, memory, batteries, cooling, and software are enabling the deployment of edge AI, with innovations such as NPU heterogeneous computing and lightweight models making local AI deployment feasible [22][23] - Major industry players like Apple, Huawei, and Meta are driving market sentiment with new product launches and technological innovations, such as Apple's AI-integrated iPhone 16 and Huawei's AI-powered foldable smartphones [45] Ecosystem Effects: Focus on Qualcomm and Huawei - Qualcomm has established a strong position in the edge AI market through its early adoption of CDMA technology, extensive patent portfolio, and focus on chip innovation [49][51] - Qualcomm's ecosystem strategy involves open collaboration with industry partners, enabling the company to extend its technological advantages from mobile communication to edge AI applications in IoT, automotive, and PC sectors [55][56] - Huawei is advancing its "All Intelligence" strategy, focusing on AI integration across its ecosystem, including its HarmonyOS, Kunpeng, and Ascend platforms, and leveraging its strong R&D capabilities to drive innovation in edge AI [58][60] - Huawei's open ecosystem approach encourages collaboration with developers and partners, fostering the development of diverse AI applications and services [65] Investment Recommendations - The report recommends focusing on companies within the Qualcomm and Huawei ecosystems, highlighting potential beneficiaries such as Thundersoft, Desay SV, and Huawei-related firms like iSoftStone, Chinasoft International, and iFlytek [70]