重量与佩戴舒适度是最突出的问题，普通眼镜重量约20g，而主流智能眼镜重量达40-80g，让试戴者感 到明显"负担"；续航短板也备受诟病，多数产品宣传续航4-8小时，但开启AI交互、拍摄、导航等多功 能后，实际续航仅剩2-3小时。浙江大学计算机科学与技术学院教授章国锋解释，这些问题源于行业内 的"不可能三角"——续航、重量、显示三者难以同时兼顾：更好的显示效果需要更大的处理芯片，势必 增加体积与电耗，而目前多数产品为平衡功耗，将计算核心交由手机承载，导致眼镜成为手机的附属配 件，限制了使用场景。 尽管痛点尚存，但业内普遍认为，未来三年将是智能眼镜从"尝鲜"向"常用"跨越的关键期，目前行业已 迎来多项技术突破。深圳理工大学计算机科学与人工智能学院副教授司伟鑫介绍，早期产品采用的手机 芯片存在功耗、发热问题，如今多数产品已切换至专用芯片平台，如高通骁龙AR1平台，为AR设备深 2026年开年以来，在国家购新补贴政策与技术迭代的双重推动下，智能眼镜市场迎来消费热潮，成为不 少消费者购置"新年货"的热门选择。北京西城区某数码集合店店员表示，"国补"落地后，到店试戴、咨 询智能眼镜的消费者显著增多，样机的充电频率也大幅提 ...

Investment Rating - The report maintains an "Outperform" rating for the electronic industry [1]. Core Insights - The rise of AI technology is driving innovation in terminal devices, with AI smart glasses emerging as a new carrier for AI applications. Compared to traditional XR devices, AI smart glasses integrate AI technology and focus on visual and auditory functions, making them lighter and more suitable for daily life scenarios. Users primarily utilize AI smart glasses for photography, live streaming, music, calls, and AI voice interaction [3][24]. - With an increasing number of entrants, 2025 is expected to see a surge in new AI smart glasses releases. The market is shifting from "showing off technology" to "practical use," with features like translation, photography, and AI voice assistants becoming common in daily scenarios, especially in sports, commuting, and translation contexts. Major smartphone manufacturers like Xiaomi and Samsung are anticipated to launch their first AI smart glasses in 2025 [3][18]. - The AI+AR future application potential is significant, with SoC and optical display being core value segments. The cost structure of AI smart glasses shows that the chip segment accounts for a substantial portion of the overall cost, with SoC being the primary cost driver [3][28]. Summary by Sections 1. New Products and Market Potential - AI smart glasses are expected to become a new carrier for AI applications, integrating essential sensory interaction methods [3][19]. - The market is entering a phase of dense new product releases, with a projected global shipment of 5.5 million units by 2025 and a CAGR of 144% from 2024 to 2027 [3][49]. 2. Core Components and Technology - SoC is identified as the core cost source for AI smart glasses, with a significant portion of the BOM cost attributed to chips [3][62]. - The report highlights the importance of Micro LED and optical display technologies in enhancing the application scenarios of AI+AR smart glasses [3][97]. 3. Market Trends and Competitive Landscape - AI smart glasses are transitioning from novelty to practicality, with features that enhance user experience in various scenarios [3][37]. - Collaboration between AI smart glasses brands and traditional eyewear brands is emerging as a significant trend, enhancing the distribution and service ecosystem [3][33].