《2025AI PC产业研究报告》重磅发布

Core Insights - The global and Chinese PC markets are experiencing sluggish growth due to macroeconomic downturns and weak consumer demand, prompting PC manufacturers to seek new growth points through product innovation and technology integration [1] - The rapid integration of AI large models with PCs is seen as a new opportunity for the global PC market, with AI PCs becoming ideal platforms for running these models [1] - The AI PC market is projected to grow significantly, with a compound annual growth rate (CAGR) of 44% from 2024 to 2028 according to Canalys [6] Chapter Summaries Chapter 1: AI PC Industry Macro Environment - AI PCs exhibit unique characteristics and advantages that differentiate them from traditional PCs [2] - The development history of AI PCs highlights the evolution of technology and market demand [2] - The market size for AI PCs is experiencing explosive growth, with significant increases in shipment volumes for major brands in early 2025 compared to 2024 [6] Chapter 2: AI PC Industry Chain Analysis - The hardware layer of the AI PC industry chain includes key areas such as chips, storage, and cooling modules, with a focus on CPU+GPU+NPU architectures [7] - The software layer is primarily focused on AI-enabled applications and native AI software [7] Chapter 3: AI PC Application Scenarios and Downstream Customer Demand - User research indicates a high level of interest in AI PCs, with 53% of surveyed users expressing a clear need for AI PC products [8] - The research covers user demographics, awareness of AI PCs, and preferences for product features [8] Chapter 4: AI PC Product Evaluation - Evaluations of specific AI PC models, such as Lenovo ThinkPad X9 14 and Lenovo Xiaoxin Pro16c AKP10, focus on various performance metrics [9] Chapter 5: Future Development Trends in the Industry - The hardware landscape is shifting towards heterogeneous solutions like CPU+NPU+GPU, with a surge in demand for DRAM storage [10] - The software landscape will see a rise in both traditional applications transitioning to AI and the emergence of AI-native applications [10] - Future AI PC products will be categorized into high and low AI computing power segments, with evolving business models and tighter collaboration within the ecosystem [10]