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千亿赛道爆发前夜 智能眼镜供应链暗藏机遇

龚作仁 2025-12-17 13:16
龚作仁 2025/12/17 13:16

邦小白快读

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智能AR眼镜市场爆发,供应链暗藏机遇,聚焦关键数据和实用信息。

1. 市场数据:2025年“双11”期间,天猫AI眼镜成交额暴涨2500%,京东同品类增速达346%,登顶3C数码榜首,显示巨大潜力。

2. 产品亮点:夸克S1突破算力、续航、重量限制,整机仅51克,采用可拆卸电池解决续航问题,改进显示技术消除色散和模糊。

3. 实操机会:供应链企业如光峰科技在光机技术领先,采用LCoS方案,产品轻量化高效,为投资者和用户提供入局点。

品牌商需关注智能AR眼镜消费趋势、产品研发和品牌策略,借鉴市场案例。

1. 消费趋势:用户晒单热潮兴起,市场接受度高,类似于iPhone初期现象,预示消费需求上升。

2. 产品研发:夸克S1成功解决衍射光波导的色散、字体模糊等问题,设计轻量贴近普通眼镜,提升用户体验。

3. 品牌渠道:阿里系整合高德导航、AI大模型和支付功能,增强产品实用性,对标Meta旗舰产品,展示渠道合作优势。

4. 用户行为:跨国出行时实时翻译化解语言障碍,会议记录功能释放精力,精准匹配高效生活方式趋势。

卖家应把握智能AR眼镜增长市场、风险提示和合作机会,从数据中汲取经验。

1. 增长市场:2025年成交额暴涨2500%,显示赛道爆发在即,带来巨大销售潜力。

2. 机会提示:供应链企业如光峰科技提供核心技术,聚焦光机模块,合作模式可参考阿里与光峰合作。

3. 风险提示:腾讯、百度等大厂即将入局,竞争全面升级,需提前应对。

4. 可学习点:光峰科技战略选择LCoS路线,量产成本可控,契合市场需求,卖家可借鉴其精准定位。

5. 最新商业模式:软硬协同战略,如字节、中兴合作AI手机,理想汽车发布AR眼镜,强调硬件入口重要性。

工厂可参与智能AR眼镜供应链,关注生产需求、数字化启示和商业机会,基于技术突破。

1. 生产需求:光机模块需稳定解决方案,如光峰科技的LCoS技术,处理显示问题,整机设计强调轻量化。

2. 商业机会:光峰科技案例显示,深耕激光光学领域后战略转向,抢占AI硬件机遇,工厂可承接类似模块生产。

3. 推进数字化:技术积累如“一拖二”模组实现小体积和低能耗,启示工厂优化生产流程,融入电商浪潮。

4. 设计启示:整机重量控制至51克,外观普通化,满足佩戴舒适需求,指导工厂在材料选择和制造上创新。

服务商需聚焦智能AR眼镜行业趋势、新技术和解决方案,针对客户痛点提供支持。

1. 行业趋势:AI硬件缺口显现,需求增长迅速,预示服务市场规模扩大。

2. 新技术:光峰科技发布蜻蜓G1光机,采用“一拖二”方案,体积仅0.35cc,能耗控制出色,代表前沿创新。

3. 客户痛点:智能AR眼镜面临算力、续航、重量挑战,显示彩虹边等问题需解决。

4. 解决方案:LCoS路线稳定量产,实现自然观看;可拆卸电池设计延长续航,服务商可开发类似技术支持。

平台商应优化智能AR眼镜销售、招商和运营管理,应对市场需求。

1. 平台需求:电商平台如天猫、京东推动成交增长,显示商业对平台依赖,需整合功能如支付和导航。

2. 平台做法:阿里接入高德导航等提升产品响应,平台可借鉴以增强用户粘性。

3. 招商机会:与供应链企业如光峰科技合作,平台可吸引技术厂商入驻,提升生态。

4. 运营管理:风险规避如竞争升级,平台需制定策略;支持轻量化产品推广,迎合“轻、清、即时落地”目标。

研究者需分析智能AR眼镜产业动向、商业模式和政策启示,从案例中提炼洞见。

1. 产业新动向:供应链崛起,光峰科技等企业凭借技术积累抢占机遇,类似历史工业革命中的博世案例。

2. 新问题:AI能力需硬件具象化,否则受限App形态,导致软硬件协同挑战。

3. 商业模式:软硬协同战略成功,如阿里、理想布局专属硬件入口,启示企业整合资源。

4. 政策法规启示:技术路线选择如LCoS versus Micro LED,政策需支持量产成本可控的创新,促进产业稳健发展。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

The smart AR glasses market is booming, with significant opportunities hidden in the supply chain. Here are the key data points and practical insights.

1. Market Data: During the 2025 "Double 11" shopping festival, sales of AI glasses on Tmall surged by 2500%, while JD.com saw a 346% growth in the same category, making it the top-performing segment in 3C digital products, indicating massive potential.

2. Product Highlights: The Quark S1 model breaks through limitations in computing power, battery life, and weight, weighing just 51 grams. It uses a removable battery to solve power issues and has improved display technology to eliminate chromatic aberration and blur.

3. Practical Opportunities: Supply chain companies like Appotronics lead in optical engine technology, employing LCoS solutions for lightweight, high-efficiency products, offering entry points for investors and users.

Brands should focus on smart AR glasses consumption trends, product development, and brand strategy, learning from market cases.

1. Consumption Trends: A surge in user unboxing posts indicates high market acceptance, reminiscent of the early iPhone phenomenon, signaling rising consumer demand.

2. Product Development: The Quark S1 successfully addresses issues like chromatic aberration and font blur in diffractive waveguide technology, with a lightweight design resembling regular glasses to enhance user experience.

3. Brand Channels: Alibaba's integration of Amap navigation, AI models, and payment functions boosts product utility, positioning it against Meta's flagship products and showcasing channel collaboration advantages.

4. User Behavior: Features like real-time translation during international travel overcome language barriers, while meeting note-taking functions save time, aligning precisely with trends towards efficient lifestyles.

Sellers should capitalize on the growing smart AR glasses market, heed risk warnings, and explore partnership opportunities, drawing lessons from data.

1. Growth Market: A 2500% sales surge in 2025 indicates the sector is poised for explosive growth, offering significant sales potential.

2. Opportunity Alert: Supply chain firms like Appotronics provide core technologies, focusing on optical engine modules; partnership models can reference Alibaba's collaboration with Appotronics.

3. Risk Warning: Major players like Tencent and Baidu are entering the market, intensifying competition, necessitating proactive strategies.

4. Key Learnings: Appotronics' strategic choice of the LCoS pathway enables controllable mass production costs that meet market demand; sellers can learn from its precise positioning.

5. Latest Business Models: Soft-hardware synergy strategies, such as ByteDance and ZTE's AI phone collaboration or Li Auto's AR glasses launch, emphasize the importance of hardware as an entry point.

Factories can engage in the smart AR glasses supply chain by focusing on production demands, digitalization insights, and business opportunities based on technological breakthroughs.

1. Production Needs: Optical engine modules require stable solutions, like Appotronics' LCoS technology, to address display issues, with overall design emphasizing lightweight construction.

2. Business Opportunities: Appotronics' case shows how deep expertise in laser optics enabled a strategic pivot to seize AI hardware opportunities; factories can undertake similar module production.

3. Advancing Digitalization: Technological accumulations, such as the "one-drag-two" module achieving compact size and low energy consumption, inspire factories to optimize production processes and integrate into the e-commerce wave.

4. Design Insights: Controlling the total weight to 51 grams and adopting a conventional appearance meet comfort needs, guiding factories to innovate in material selection and manufacturing.

Service providers should focus on smart AR glasses industry trends, new technologies, and solutions to address client pain points.

1. Industry Trends: A gap in AI hardware is emerging, with demand growing rapidly, indicating an expansion of the service market scale.

2. New Technologies: Appotronics' launch of the Dragonfly G1 optical engine, using a "one-drag-two" solution with a volume of just 0.35cc and excellent energy control, represents cutting-edge innovation.

3. Client Pain Points: Smart AR glasses face challenges in computing power, battery life, and weight, with issues like rainbow edges requiring resolution.

4. Solutions: The LCoS pathway enables stable mass production for natural viewing; removable battery designs extend battery life, allowing service providers to develop similar technical support.

Marketplace operators should optimize sales, merchant recruitment, and operations for smart AR glasses to meet market demands.

1. Platform Needs: E-commerce platforms like Tmall and JD.com are driving sales growth, highlighting commercial reliance on platforms and the need to integrate functions like payments and navigation.

2. Platform Strategies: Alibaba's integration of Amap navigation enhances product responsiveness, a approach platforms can emulate to boost user stickiness.

3. Merchant Opportunities: Partnering with supply chain firms like Appotronics can attract tech manufacturers to the platform, enriching the ecosystem.

4. Operations Management: Risk mitigation, such as preparing for intensified competition, requires strategic planning; supporting lightweight product promotions aligns with goals of "lightweight, clear, and instant implementation."

Researchers should analyze smart AR glasses industry movements, business models, and policy implications, extracting insights from case studies.

1. Industry Trends: Supply chain players like Appotronics are seizing opportunities through technological积累, akin to Bosch's role in historical industrial revolutions.

2. Emerging Issues: AI capabilities need hardware embodiment; otherwise, they remain confined to app forms, leading to soft-hardware integration challenges.

3. Business Models: Successful soft-hardware synergy strategies, such as Alibaba and Li Auto's dedicated hardware entries, highlight the importance of resource integration for enterprises.

4. Policy Implications: Technology pathway choices, like LCoS versus Micro LED, require policies that support innovations with controllable mass production costs to foster stable industry development.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

最近,夸克智能眼镜正式发售,朋友圈里晒单热潮再起,那股新鲜劲儿仿佛让人重回十多年前“土豪”们晒iPhone的年代。作为被寄予厚望的下一代核心硬件,智能AR眼镜正加速走进大众生活,其爆发态势早已在数据中显现——2025年“双11”期间,天猫AI眼镜成交额暴涨2500%,京东同品类成交增速达346%,直接登顶3C数码榜首。夸克AR眼镜的爆火,不仅印证了市场潜力,更标志着智能AR眼镜的“iPhone时刻”已悄然降临。

大厂抢滩:AI时代的硬件必争之地

从产品力来看,以夸克S1为代表的系列产品,成功突破了智能AR眼镜“算力、续航、重量”的不可能三角。在显示层面,它解决了衍射光波导方案普遍存在的色散、字体模糊、彩虹边等问题;续航上采用镜腿可拆卸电池设计,满足全天不间断使用需求;而包含镜片、框架、骨传导模块、芯片及双光机在内的整机重量仅51克,外观贴近普通眼镜,佩戴毫无负担。此外,接入阿里系高德导航、AI大模型、支付等功能后,产品响应速度与实用性大幅提升,即便对标行业龙头Meta的旗舰产品也不落下风。

夸克的爆发绝非偶然,背后是阿里在AI时代的战略布局。当前,AI引领第四次工业革命,软件端AI能力已然溢出,但硬件端却存在明显缺口。对AI企业而言,唯有打造能具象化AI能力的硬件产品,才能有望成为下一阶段巨头——毕竟AI能力再强,若受制于他人终端,最终只能以App形态落地。这也是字节系豆包与中兴合作研发AI手机、理想汽车跨界发布AR眼镜的核心逻辑:抢占专属硬件入口,实现“软硬协同”。

相较于手机端成熟固化的生态,智能AR眼镜与AI的契合度堪称完美。AI的核心价值是提升效率、释放精力,而智能AR眼镜作为“架在大脑上的助手”,其实时翻译、会议记录、即时响应等功能,恰好精准匹配这一需求。工作中,无需额外操作即可完成会议拍照、转录;跨国出行时,语言障碍一键化解,这种“具身智能助手”的属性,让它有望像手机一样全面普及。随着阿里、理想率先入局,腾讯、百度等互联网大厂及头部手机厂商的跟进已箭在弦上,智能AR眼镜赛道的竞争即将全面升级。

供应链破局:隐藏的黄金机遇

值得注意的是,即便阿里、理想等千亿级企业,也不具备直接生产智能AR眼镜的能力,其产品落地的核心支撑来自供应链的技术赋能。

就拿“光机”这个显示模块来说,现在最稳定,最前沿的解决方案,不在任何一个整机大厂手里,而是在光峰科技等上游供应链企业身上。未上市时,公司便深耕激光光学领域;上市后,管理层敏锐捕捉到AR眼镜的市场潜力,在招股书中明确战略转向,长期跟踪行业动态让其在技术路线选择上极具远见。面对Micro LED(性能强但成本高、量产难度大)与LCoS(性能稳定、量产成本可控)两种主流方案,光峰科技选择了LCoS路线,与Meta首款AR眼镜RayBan Meta Display采用的技术路径保持一致,精准契合市场需求。

技术实力的硬支撑让光峰科技的产品稳居行业领先。在2025年光博会上,其发布的蜻蜓G1与彩虹C1两款LCoS AR光机引发行业关注。其中,蜻蜓G1采用“一拖二”方案,单目体积仅0.35cc,创下行业量产体积天花板;且能耗控制出色,为设备长续航奠定基础。更重要的是,“一拖二”模组天然实现双目汇聚角度,让佩戴者观看更自然,完美契合智能AR眼镜“轻、清、即时落地”的终极目标。

纵观工业革命史,每一次技术变革都伴随着供应链巨头的崛起:第二次工业革命诞生了博世、米其林,第三次工业革命催生了歌尔股份、宁德时代。如今,智能AR眼镜赛道的爆发已箭在弦上,以光峰科技为代表的专注型供应链企业,正凭借技术积累与精准战略,抢占时代机遇。随着更多大厂入局,供应链的价值将持续凸显,成为这场AI硬件变局中的核心赢家。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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