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具身智能眼脑手第一股今日上市

亿邦动力 2026-09-01 13:47
亿邦动力 2026/09/01 13:47

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本文核心干货是具身智能眼脑手第一股梅卡曼德上市的相关核心信息,整理如下:

1. 上市基本情况:梅卡曼德9月1日登陆港交所,股票代码09615.HK,发行价101.7港元,上市首日午盘收报99.1港元,较发行价跌2.6%,市值123.5亿港元,本次上市集资净额约22亿港元,资金主要用于技术研发和市场拓展。

2. 市场认购情况:本次香港公开发售获得3835倍超额认购,触发回拨机制后公开发售比例上调至20%,一手中签率仅3%,国际配售也获得13.4倍超额认购,9名头部机构作为基石投资者认购62%股份,禁售至2027年2月底。

3. 公司基本情况:梅卡曼德2016年由清华校友创办,做智能机器人标准化组件,已落地多个主流行业,服务超1600家客户,在细分赛道全球份额第一,营收持续增长但尚未盈利。

本文能为科技及智能制造领域品牌商提供赛道、资本、成长路径多维度参考,干货如下:

1. 赛道趋势方面:具身智能相关组件已经获得市场验证,落地汽车、新能源、消费电子等多个高增长行业,获得宁德时代、比亚迪等头部大客户认可,说明赛道需求明确,处于高速增长期。

2. 资本认可度方面:即便赛道需要高额研发投入,短期无法盈利,仍然获得二级市场投资者的高度认可,公开发售超购近4000倍,头部投资机构愿意以长期锁仓的方式参与投资,说明赛道长期价值被资本看好。

3. 成长路径参考:梅卡曼德以标准化组件切入市场,通过提升高附加值软件和算法收入占比,三年间毛利率从39.1%提升至64.6%,这种盈利提升路径对科技品牌有借鉴意义。

对于智能装备、机器人相关领域的卖家,本文可提供机会提示和风险参考,干货整理如下:

1. 赛道机会层面:AI+3D视觉引导的智能机器人组件赛道处于高速增长期,梅卡曼德近三年营收年复合增长率达到46.6%,细分市场空间大,同时产品已经覆盖多个主流制造业领域,获得头部大客户认可,赛道需求旺盛,仍有增长机会。

2. 风险提示层面:该赛道需要持续高额的研发投入和销售开支,即便已经做到全球细分第一的梅卡曼德,2023-2025年累计亏损仍超过10亿元,尚未实现盈利,新进入者需要做好充足的资金储备,应对短期亏损压力。

3. 可参考的经验:做标准化组件适配多行业需求,绑定头部大客户打开市场,同时侧重高毛利软件算法业务提升盈利能力,这种商业模式值得从业者学习。

对于制造类工厂,本文能为推进智能化升级提供参考信息,干货整理如下:

1. 智能化升级的产品选择:当前具身智能领域已经有成熟的标准化智能机器人组件,涵盖3D视觉相机、AI算法、多模态大模型等眼脑手模块,已经经过多个行业验证,工厂做智能化改造可以选择这类成熟标准化产品,降低改造成本和落地风险。

2. 产品可靠性参考:这类组件已经获得宁德时代、比亚迪、富士康、美的等头部制造企业的采用,说明产品性能和稳定性能够满足大规模工业生产的需求,可靠性有保障。

3. 行业趋势启示:当前制造领域对智能化升级的需求越来越高,AI+3D视觉相关组件的市场增长速度快,细分龙头已经做到全球份额第一,说明这类技术已经进入规模化落地阶段,工厂可以结合自身生产需求提前布局引入,提升生产效率。

对于面向智能制造领域的服务商,本文可提供行业趋势、客户需求等多维度干货,整理如下:

1. 行业发展趋势:具身智能眼脑手赛道处于高速增长阶段,头部企业近三年营收复合增长率接近47%,市场空间大,资本认可度高,是值得布局的增量赛道。

2. 客户痛点与需求:当前制造类客户推进智能化升级,对标准化的智能机器人组件需求旺盛,标准化产品可以降低客户的改造成本和对接门槛,适合大规模推广,服务商可以对接这类成熟组件,满足客户降本增效的需求。

3. 盈利提升方向:从行业情况来看,高附加值的软件和算法业务毛利率远高于硬件,梅卡曼德的毛利率从39.1%提升到64.6%,主要就是软件占比提升带动的,服务商可以加大软件算法相关服务的布局,提升自身的盈利水平。

对于资本市场平台和产业服务平台,本文可提供运营、招商相关的参考干货,整理如下:

1. 招商方向参考:当前二级市场投资者对优质硬科技细分赛道龙头的需求非常旺盛,本次梅卡曼德公开发售获得3835倍超额认购,足见投资者的热情,平台可以加大对硬科技细分赛道龙头企业的引入,满足投资者的配置需求。

2. 上市运作参考:对于短期未盈利的硬科技企业,引入头部机构作为基石投资者,设置较长的禁售期,可以有效增强市场信心,稳定市场预期,本次梅卡曼德基石认购占比62%,禁售到2027年,就是非常典型的运作方式。

3. 风险规避提示:硬科技企业上市后,如果机构和基石持股占比过高,公众持股比例偏低,容易引发股价波动,本次梅卡曼德上市首日股价就出现下跌,平台需要提示相关风险,做好后续的投资者引导和市场管理。

对于产业和资本市场研究者,本文提供了具身智能赛道和硬科技上市的一手研究信息,干货整理如下:

1. 产业新动向:具身智能赛道已经进入规模化落地阶段,诞生了全球细分赛道的龙头企业,按2025年收入计算,梅卡曼德在AI+3D视觉引导通用智能机器人组件市场全球份额达22.1%,排名第一,赛道整体保持高速增长,龙头企业近三年营收复合增长率达46.6%,产业成长性已经得到验证。

2. 商业模式特征:当前该赛道主流的商业模式是做标准化的眼脑手组件,覆盖多行业客户,通过提升高附加值软件算法收入占比可以快速拉高毛利率,该赛道的特点是需要持续高额研发投入,短期难以实现盈利,头部龙头成立多年仍累计亏损超10亿元。

3. 资本动向:即便是未盈利的硬科技细分龙头,只要赛道空间大、竞争力强,就能获得一级二级市场资本的高度认可,头部机构愿意长期布局锁仓,资本对硬科技赛道的长期价值认可度较高。

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Quick Summary

This article compiles key information about the IPO of Mech-Mind Robotics, the first listed player in embodied intelligence "eye-brain-hand" systems:

1. Basic IPO details: Mech-Mind Robotics listed on the Hong Kong Stock Exchange on September 1 with the ticker 09615.HK. Its offer price was HK$101.7, and it closed at HK$99.1 at midday on its first trading day, down 2.6% from the offer price, giving it a market capitalization of HK$12.35 billion. The net proceeds from the IPO total approximately HK$2.2 billion, which will primarily be used for technology R&D and market expansion.

2. Subscription status: The Hong Kong public offering was 3,835 times oversubscribed. After the clawback mechanism was triggered, the public offering portion was adjusted up to 20%, with a lottery winning rate of only 3% for retail investors. The international placement was also 13.4 times oversubscribed. Nine leading institutional cornerstone investors subscribed for 62% of the offered shares, with a lock-up period ending at the end of February 2027.

3. Company background: Founded in 2016 by Tsinghua University alumni, Mech-Mind develops standardized components for intelligent robots. Its products have been deployed across multiple major industries, serving more than 1,600 customers. It holds the top global market share in its niche segment, with steadily growing revenue but has not yet turned a profit.

This article provides multi-dimensional insights for technology and intelligent manufacturing brands on sector trends, capital attitudes and growth paths:

1. Sector trend: Embodied intelligence-related components have already achieved market validation, with deployments in multiple high-growth sectors including automotive, new energy and consumer electronics, and have won recognition from leading clients such as CATL and BYD. This confirms clear sector demand and confirms the space is in a high-growth stage.

2. Capital sentiment: Even though the sector requires heavy R&D investment and cannot deliver near-term profits, it still earns strong endorsement from public market investors. The 3,835 times oversubscription and the willingness of leading institutions to participate with long lock-up periods demonstrate that capital is bullish on the sector's long-term value.

3. Actionable growth insight: Mech-Mind entered the market with standardized components, and raised its gross margin from 39.1% to 64.6% in three years by increasing the share of high-value-added software and algorithm revenue. This profit improvement path offers a valuable reference for other technology brands.

For sellers operating in the intelligent equipment and robotics sectors, this article outlines key opportunities and risk considerations:

1. Sector opportunities: The AI+3D vision-guided intelligent robotic component sector is in a period of rapid growth. Mech-Mind has delivered a 46.6% compound annual growth rate (CAGR) in revenue over the past three years. The niche market offers large growth room, and its products already serve multiple major manufacturing sectors and have earned approval from top clients, confirming strong demand and untapped growth opportunities.

2. Risk warnings: The sector requires sustained heavy investment in R&D and sales. Even Mech-Mind, the global leader in its niche, posted a cumulative net loss of more than RMB 1 billion from 2023 to 2025 and remains unprofitable. New entrants need to secure sufficient capital reserves to withstand near-term loss pressure.

3. replicable business experience: Building standardized components to serve the needs of multiple industries, partnering with leading large clients to expand market presence, and prioritizing high-margin software and algorithm business to improve profitability—this business model is well worth learning for industry practitioners.

For manufacturing facilities, this article offers actionable references for advancing intelligent upgrading:

1. Product selection for intelligent transformation: The embodied intelligence sector now offers mature, standardized intelligent robotic components covering all "eye-brain-hand" modules including 3D vision cameras, AI algorithms and multi-modal large models, which have been validated across multiple industries. Manufacturers can adopt these mature standardized products for intelligent transformation to cut transformation costs and reduce deployment risks.

2. Product reliability validation: These components are already used by leading manufacturing players including CATL, BYD, Foxconn and Midea, confirming their performance and stability meet the requirements of large-scale industrial production, with proven reliability.

3. Sector trend takeaway: Demand for intelligent upgrading in manufacturing is growing rapidly, and the market for AI+3D vision-related components is expanding fast. The niche leader already holds the top global market share, confirming the technology has entered the large-scale deployment stage. Manufacturers can proactively introduce relevant solutions aligned with their production needs to boost operational efficiency.

For intelligent manufacturing-focused service providers, this article delivers multi-dimensional insights on industry trends and client demand:

1. Industry development outlook: The embodied intelligence "eye-brain-hand" sector is in a high-growth phase, with the leading player posting a nearly 47% CAGR in revenue over three years. The sector offers large market space and strong capital recognition, making it a high-potential growth area worth entering.

2. Client pain points and demand: Manufacturing clients advancing intelligent transformation have strong demand for standardized intelligent robotic components. Standardized products lower clients' transformation costs and integration barriers, and are suitable for large-scale promotion. Service providers can partner with providers of these mature components to meet clients' demand for cost reduction and efficiency improvement.

3. Profit improvement direction: Industry data shows high-value-added software and algorithm business deliver far higher gross margins than hardware. Mech-Mind's gross margin growth from 39.1% to 64.6% was driven primarily by an increased share of software revenue. Service providers can expand their布局 in software and algorithm-related services to boost their own profitability.

For capital market platforms and industrial service platforms, this article provides references for operations and investor engagement:

1. Sourcing strategy reference: Public market investors currently have very strong demand for quality leaders in niche hard technology segments. Mech-Mind's 3,835 times oversubscribed public offering clearly demonstrates this investor enthusiasm. Platforms can increase their recruitment of leading hard technology niche players to meet investors' allocation demand.

2. IPO operation reference: For unprofitable hard technology companies, bringing in leading institutions as cornerstone investors with long lock-up periods can effectively boost market confidence and stabilize market expectations. Mech-Mind's offering, with 62% of shares subscribed by cornerstones with lock-up until 2027, is a typical successful example of this approach.

3. Risk mitigation guidance: If institutions and cornerstone investors hold a disproportionately large stake after an IPO, the low public float can easily trigger increased share price volatility, as seen in Mech-Mind's first-day price decline. Platforms need to communicate this risk clearly, and provide ongoing investor guidance and market management.

For industrial and capital market researchers, this article provides first-hand research insights on the embodied intelligence sector and hard technology IPOs:

1. New industry developments: The embodied intelligence sector has entered the large-scale commercial deployment stage, and has produced a global leader in its niche. Measured by 2025 revenue, Mech-Mind holds 22.1% of the global AI+3D vision-guided general intelligent robotic component market, ranking first. The sector maintains high overall growth, with the leading company posting a 46.6% three-year revenue CAGR, confirming the industry's growth potential.

2. Business model characteristics: The mainstream business model in this sector is developing standardized "eye-brain-hand" components that serve multi-industry clients. Increasing the share of high-value-added software and algorithm revenue can rapidly lift gross margins. A core feature of the sector is the requirement for sustained heavy R&D investment, which makes near-term profitability difficult: even the long-established leading player has accumulated more than RMB 1 billion in total losses to date.

3. Capital market trends: Even unprofitable niche hard technology leaders can earn strong endorsement from both private and public market capital, as long as they operate in a large market with strong competitive advantages. Leading institutions are willing to make long-term commitments with extended lock-up periods, demonstrating high levels of confidence in the long-term value of hard technology sectors.

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.

【亿邦原创】9月1日,梅卡曼德(09615.HK)正式登陆港交所,成为“具身智能眼脑手第一股”。

上市首日,梅卡曼德以发行价101.7港元平开,但之后股价走势转弱,盘中最低下探至97港元。截至中午收盘,股价报99.1港元,较发行价下跌约2.6%,市值123.5亿港元。

梅卡曼德本次全球发售定价为每股101.70港元,香港公开发售部分获得约3835倍超额认购,触发了回拨机制,公开发售比例由5%上调至20%。由于认购火爆,一手中签率仅3%,国际配售部分也获得约13.4倍超额认购。9名基石投资者(包括Baillie Gifford、泰康人寿、易方达等)合计认购约1435万股,占发售总数的62%,且设有至2027年2月底的禁售期。

最终,全球发售股份总计约2314万股,集资净额约22亿港元,将主要投入公司的技术研发及市场拓展。此次上市后,机构及基石投资者占据了股票的绝对大头,公众持股比例相对有限。

梅卡曼德成立于2016年9月,由三位清华校友邵天兰、付翱、丁有爽联合创办,定位为“智能机器人组件供应商”,主要提供3D视觉相机、AI算法和“Mech-GPT”多模态大模型等“眼、脑、手”标准化组件。目前,产品已落地汽车、新能源、消费电子、物流等行业,累计服务超过1600家客户,包括宁德时代、比亚迪、美的、富士康等。根据灼识咨询报告,按2025年收入计算,其在“AI+3D视觉引导通用智能机器人组件”细分市场的全球份额约为22.1%,排名第一。

招股书数据显示,2023年、2024年、2025年梅卡曼德营收分别为1.81亿元、2.69亿元和3.89亿元,年复合增长率约46.6%。得益于高附加值的软件和算法收入占比提升,毛利率从2023年的39.1%显著提升至2025年的64.6%。尽管收入和毛利增长,但受高额研发投入和销售开支影响,2023年至2025年净利润累计亏损超过10亿元,尚未实现盈利。

本文首发于 亿邦动力 官方网站

文章来源:亿邦动力

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FAQ回顾

梅卡曼德是做什么的?

梅卡曼德成立于2016年,定位为智能机器人组件供应商,主要提供3D视觉相机、AI算法和Mech-GPT多模态大模型等“眼、脑、手”标准化组件,产品已落地汽车、新能源、消费电子、物流等行业,累计服务超1600家客户。

梅卡曼德在AI 3D视觉引导机器人组件市场地位如何?

根据灼识咨询报告,按2025年收入计算,梅卡曼德在AI 3D视觉引导通用智能机器人组件细分市场的全球份额约为22.1%,排名全球第一。

梅卡曼德上市募集的资金主要用于哪些方面?

梅卡曼德本次港交所上市全球发售股份总计约2314万股,集资净额约22亿港元,募集资金将主要投入公司的技术研发及市场拓展相关工作。

梅卡曼德近年的经营情况怎么样?

招股书显示,2023至2025年梅卡曼德营收分别为1.81亿元、2.69亿元、3.89亿元,年复合增长率约46.6%,毛利率从2023年的39.1%提升至2025年的64.6%,受高额研发和销售开支影响,三年累计亏损超10亿元,尚未实现盈利。

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