hechen@hnchasing.com 汪颜雯 研究助理 wangyanwen@hnchasing.com 相关报告 1 电子行业深度报告：AI 能力加速迭代，产 业发展新机遇 2026-02-13 证券研究报告 行业月度点评（R3） 消费电子 2026 年 02 月 25 日 评级 领先大市 评级变动： 维持 行业涨跌幅比较 % 1M 3M 12M 消费电子 -5.37 10.38 28.29 沪深 300 0.11 5.70 18.33 何晨 分析师 执业证书编号:S0530513080001 -32% -12% 8% 28% 48% 2025/02 2025/05 2025/08 2025/11 消费电子 沪深300 把握高端化趋势，聚焦果链与高端零部件环节 | 重点股票 | 2024A 2025E | | | | 2026E | | 评级 | | --- | --- | --- | --- | --- | --- | --- | --- | | | EPS（元） PE（倍） EPS（元） PE（倍）EPS（元） PE（倍） | | | | | | | | 歌尔股份 | 0.75 | 35.50 | ...

Core Insights - The AI glasses market in 2026 is characterized by intense competition, with numerous companies, including major tech giants and startups, launching new products and strategies, marking a shift from niche gadgets to essential tools for various applications [1][2][4] Group 1: Market Dynamics - The AI glasses market is witnessing a "full-scale war" with major players like Meta, Google, Apple, and domestic companies like Huawei and ByteDance all actively participating [1][2] - The CES 2026 event served as a platform for companies to showcase their innovations, with significant product announcements from various manufacturers [2][4] - The trend of "lightweight" and "independence" is evident, as companies prioritize user comfort and reduce reliance on smartphones through features like eSIM and independent processing capabilities [9][10] Group 2: Product Launches and Innovations - Key product launches include: - XGIMI's MemoMind brand entering the smart glasses market [8] - Thunderbird's X3 Pro Project eSIM, the first dual-lens AR glasses with independent connectivity [8] - Rokid's ultra-light AI glasses weighing only 38.5 grams, emphasizing comfort and audio interaction [8] - Modular AR glasses M6 from Xuanjing, designed for hardware upgrades [3][8] - Meta plans to enhance its Ray-Ban Meta glasses, aiming for improved optical comfort and AI interaction [4][8] - Google's three-step strategy includes launching audio smart glasses and collaborating on Project Aura with XREAL [4][8] - Apple is expected to release Apple Glasses by the end of 2026, focusing on a lightweight design and AI integration [4][8] Group 3: Industry Trends and Drivers - The industry is driven by three main factors: cost reduction in the supply chain, advancements in AI interaction, and growing market demand [10][11] - The rapid decrease in component costs, particularly in chips and optical displays, has made AI glasses more affordable for consumers, with prices now in the 2000-3000 yuan range [11] - The introduction of national subsidies for smart glasses is expected to boost market penetration and consumer adoption [14][15] Group 4: Future Competition Landscape - The competition is shifting from hardware specifications to user experience, ecosystem integration, and technological innovation [16][17] - Companies are focusing on creating compelling reasons for daily use, with examples like Rokid's integration of AI glasses into automotive systems and educational tools [17][18] - The future of the industry will depend on ecosystem development, with companies like Google and Huawei aiming to create comprehensive platforms that integrate AI capabilities and user data [20][21]

2月26日，歌尔股份大宗交易成交70万股，成交额1743万元，占当日总成交额的0.7%，成交价24.9元， 较市场收盘价27.08元折价8.05%。 | 权益类证券大宗交易(协议交易) | | | | | | | 团 下载 | | --- | --- | --- | --- | --- | --- | --- | --- | | 交易日期 | 证券代码 | 证券简称 | 成交价格 (元) | 成交量 (万股/万份) | 成交金额 (万元) | 买方营业部 | 卖方营业部 | | 2026-02-26 | 002241 | 歌尔股份 | 24.90 | 70.00 | | 1,743.00中信建投证券股份 | 华泰证券股份有限 | | | | | | | | 有限公司北京东城 | 公司天津东丽开发 | | | | | | | | 分公司 | 区二纬路证券营业 | | | | | | | | | तर | ...

制造业是"压舱石"。作为山东制造业核心承载地，潍坊以27家国家级、204家省级制造业单项冠军的雄 厚实力，连续五年稳居山东省首位，"冠军之城"地位稳固。潍坊工业体系完备，在全国41个工业行业大 类中，潍坊拥有37个，涵盖全部31个制造业行业，规上工业产值突破1.2万亿元，培育出潍柴、歌尔等 一批占据全球市场制高点的领军企业。通过构建梯度培育体系和"9+3+N"产业链协同机制，潍坊在动力 装备、智能农机等国家级产业集群持续发力，2025年新增授权发明专利4378件，研发投入强度领先全 国。 2月25日，潍坊全市工作动员大会召开，吹响奋进号角。大会上，潍坊市委书记刘运将"抓实体经济"置 于"六个坚定不移"首位，清晰指明了这座工业强市的进阶路径。 冲击万亿城，根基在实体，关键靠产业。从数据看，2025年，潍坊交出了生产总值8587.36亿元、同比 增长5.5%的"成绩单"，为冲刺万亿目标奠定坚实基础。这份底气，深植于实体经济的坚实根基。 服务业是"加速器"。"十四五"期间，潍坊服务业增加值突破4100亿元，2025年第三产业增加值达 4321.96亿元、增长6.5%，成为拉动经济的核心动能。2025年，通过600余 ...

格隆汇2月24日丨歌尔股份(002241.SZ)在投资者互动平台表示，公司目前暂未涉及人形机器人整机制造 等相关领域业务。 ...

2月24日消息，苹果公司向《华尔街日报》确认了一项引人注目的供应链调整：2026年晚些时候，部分 Mac Mini台式电脑的生产将从亚洲转移到美国，在富士康位于休斯敦的工厂启动组装。这是自2013年 Mac Pro在美国本土生产失利后，苹果又一次将核心硬件生产线迁回美国的重大尝试。 消息一出，业界震动。《中国经营报》记者注意到，一方面，这是苹果2025年承诺的四年6000亿美元 （约合人民币4.15万亿元）美国投资计划落地的重要一步；另一方面，在全球关税壁垒复杂化、AI技术 浪潮冲击零部件供应的当下，这一举动被外界解读为苹果供应链战略从极致的"全球效率"向兼顾"地缘 安全"转变的强烈信号。 这一系列动作，是苹果在全球供应链上进行的一场精密而复杂的"大迁徙"。多位业内人士接受记者采访 时表示，它既是对美国政府"制造业回流"压力的回应，也是对中美贸易摩擦下潜在关税风险的未雨绸 缪。然而，这场迁徙并非简单的"去中国化"，而是一场在地缘政治、成本效率与工程现实之间走钢丝的 平衡术。 苹果供应链调整的"小步快跑" 在休斯敦北部，富士康的厂区内正酝酿着一场变革。苹果首席运营官萨比赫·汗（Sabih Khan）向媒体展 示 ...

（文章来源：证券日报） 证券日报网讯 2月24日，歌尔股份在互动平台回答投资者提问时表示，截至2026年1月30日，公司股东 总户数为452325户。 ...

AI应用的落地离不开端侧硬件支撑，其快速发展也持续抬升端侧硬件需求，豆包手机形态、Openclaw 带火的Mac Mini均是端侧AI终端落地的标志性案例。AI应用对端侧硬件算力与效率提出明确要求，推 动传统手机、PC芯片加速向高端化升级，也推动相关芯片在制程工艺与架构设计上持续革新。PC和手 机作为核心用户入口，是大模型从算力中心走向物理世界、触达C端与B端用户的第一入口，也是端侧 AI最大的落地载体；该赛道亦吸引各大云厂商跨界布局，新兴力量的突围进一步重塑市场竞争格局。 抓住端侧入口的大厂，以及积极适配新型AI应用、重新定义PC和手机芯片产品的公司将在AI竞争中占 据优势。行业巨头虽坐拥深厚的端侧芯片技术壁垒，可满足低功耗与高端算力的核心要求，但仍需与时 俱进，以软件模型驱动硬件产品创新，方能持续稳固行业领先地位。 车载场景是端侧AI落地的最佳实践场景，车载芯片的迭代升级与国产生态构建将迎来重要发展机遇 智通财经APP获悉，东吴证券发布研报称，互联网与云算力大厂加速布局端云协同硬件生态、筑牢AI转 型硬件底座，云算力企业与互联网大厂均在持续加大端侧布局力度，通过搭建端云协同的闭环硬件生态 体系，夯实自身向 ...

东吴证券近日发布2026年端侧AI产业深度：互联网与云算力大厂加速布局端云协同硬件生态、筑牢AI 转型硬件底座，云算力企业与互联网大厂均在持续加大端侧布局力度，通过搭建端云协同的闭环硬件生 态体系，夯实自身向AI全面转型的底层硬件支撑。 IoT市场是当前规模最大的蓝海市场，也是国产替代的核心机遇所在。IoT覆盖穿戴、家居、工业等多元 场景，不仅对硬件技术能力提出要求，更需要适配具体场景与终端的定制化解决方案和软件生态。国产 芯片依托国内丰富的终端消费电子产业基础，拥有广阔的合作开发空间。其中，AI眼镜仍是当下尚未 被证伪的优质端侧场景，无论是作为手机的衍生产品，还是探索替代手机的产业方向，均在持续寻求最 优解决方案。具身智能有望实现与IoT、智能驾驶领域的技术能力平滑迁移，其适配场景的需求逐步清 晰，这些尚未完全定型的终端AI新场景，均为国产IoT芯片带来重要发展机遇。 端侧存储芯片：兆易创新等 以下为研究报告摘要： 投资要点 AI应用迭代驱动端侧硬件需求持续攀升，端侧高算力升级推动传统手机和PC端侧存量市场格局重塑， 行业巨头需依托AI软件需求驱动硬件创新以巩固地位。AI应用的落地离不开端侧硬件支撑，其快速 ...

Investment Rating - The report maintains a rating of "Buy" for the electronic industry, indicating a positive outlook for investment opportunities in this sector [1]. Core Insights - The IoT market is identified as the largest blue ocean market, presenting significant opportunities for domestic substitution, particularly in customized solutions and software ecosystems [2]. - The report emphasizes the importance of hardware supply chain enterprises in the AI transformation, as major internet and cloud computing companies accelerate their hardware ecosystem development [2]. - The evolution of edge AI is seen as a critical trend, with the need for high-performance edge hardware driving innovation in traditional mobile and PC markets [5][6]. - The automotive sector is highlighted as a prime application area for edge AI, with significant opportunities arising from the upgrade of in-vehicle chips and the construction of domestic ecosystems [5]. Summary by Sections 1. Edge AI and Domestic Supply Chain Opportunities - The transition of edge AI from concept to a well-defined industry path marks a strategic shift towards physical world applications, driven by privacy, security, and latency considerations [15]. - The deep restructuring of edge hardware provides a systemic elevation opportunity for domestic supply chains, particularly in new terminal markets like AI glasses and embodied intelligent robots [16]. 2. AI Empowering Mobile and PC Market Innovations - The demand for high-end smartphones is increasing due to the rapid adoption of AI technology, with projections indicating that by 2028, 54% of smartphones will feature edge AI capabilities [18]. - The average selling price (ASP) of smartphones is expected to rise, with a notable increase in the proportion of high-end models, driven by the demand for AI functionalities [21][19]. - The report notes that the semiconductor industry is experiencing a shift towards higher-end chip manufacturing processes, with TSMC's 2nm technology expected to enhance performance and efficiency significantly [23][24]. 3. Automotive Electronics and Edge AI Growth - The automotive sector is positioned as a second growth engine for edge AI, with in-vehicle chips evolving to meet the demands of intelligent driving and user interaction [5]. - The report discusses the competitive landscape of automotive chips, highlighting the rapid advancements in domestic chip manufacturers and their collaboration with new energy vehicle companies [5]. 4. Internet Giants Building Edge-Cloud Collaborative Ecosystems - Major internet companies are establishing comprehensive strategies that integrate cloud, AI, and chip development to strengthen their hardware foundations for AI transformation [10]. - The report outlines the strategic moves of companies like Alibaba, ByteDance, and Tencent in creating a cohesive hardware ecosystem that supports AI applications across various sectors [10].