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卡奥斯赴港IPO:AI能否重振工业互联网?

胡镤心 2026-02-05 15:52
胡镤心 2026/02/05 15:52

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卡奥斯IPO揭示工业互联网盈利路径和AI转型关键点。

1. 公司冲击港交所上市,成为AI+工业互联网第一股,2024年收入507亿元,扭亏为盈净利润6.51亿元,2025前三季利润增至17.61亿元,政府补助逐年减少。

2. 业务分数据智能解决方案(高毛利率31%)和物联网解决方案(低毛利率12.7%),数据智能占比从18.3%升至29.0%,优化盈利结构。

3. 市场地位领先,中国工业数据智能市场第一份额1.2%,行业前三仅占3.3%,高度分散。

4. AI从辅助工具演变为核心引擎,深入研发设计、生产调度等全链条,卡奥斯推工业大模型如COSMO-GPT实现智能跃迁。

卡奥斯在工业互联网领域的产品创新和行业趋势提供品牌启示。

1. 产品研发聚焦AI驱动解决方案,开发工业大模型覆盖数据治理和边缘控制,助力家电、机械等行业优化生产链。

2. 消费趋势显示工业数字化加速,AI成为核心引擎,推动全链条实时优化,代表企业卡奥斯展示技术融合潜力。

3. 品牌渠道建设中,卡奥斯通过平台一体化能力(平台+软件+硬件)服务9500家客户,国际收入占比12%-14%,拓展全球布局。

4. 用户行为观察揭示行业知识壁垒高,需垂直解决方案,品牌可借鉴卡奥斯模式深耕细分市场。

工业互联网市场增长机会与风险并存,卡奥斯案例提供实操启示。

1. 增长市场:行业处早期高度分散,前三份额仅3.3%,卡奥斯以1.2%领先,AI驱动价值增量,带来合作空间。

2. 机会提示:AI重塑工业互联网,从数据可视化到智能决策,卡奥斯上市展示盈利潜力,卖家可学习其业务优化策略。

3. 风险提示:收入高度集中,物联网业务占71%,依赖海尔集团客户(占比57.7%),可能影响独立性;关联交易问题如日日顺IPO受阻案例警示风险。

4. 最新商业模式:卡奥斯构建闭环解决方案,数据智能占比提升,卖家可探索类似平台+服务模式;扶持政策如政府补助逐年减少,需自生盈利。

卡奥斯解决方案为工厂提供数字化和效率提升的商业机会。

1. 产品生产和设计需求:卡奥斯服务家电、机械、汽车等行业,提供数据智能优化生产流程,如AI在能碳管理、生产调度中的应用。

2. 商业机会:通过工业互联网平台推进数字化,卡奥斯案例显示高附加值业务占比提升,工厂可借类似方案提升竞争力。

3. 推进数字化启示:AI深入全链条实现实时优化,卡奥斯工业大模型封装知识,工厂可学习其模式应对碎片化场景;国际布局占比12%-14%,启示全球化拓展。

工业互联网发展趋势和卡奥斯解决方案揭示服务商机遇。

1. 行业发展趋势:AI从辅助工具演变为核心引擎,重塑工业互联网,卡奥斯IPO标志价值兑现阶段,市场高度分散前三仅占3.3%。

2. 新技术:工业大模型(如COSMO-GPT)、数据治理和边缘控制器,卡奥斯推一体化技术融合云计算、物联网等。

3. 客户痛点:场景碎片化、知识壁垒高导致行业分散,需垂直解决方案;技术提供商各占一方,整合挑战大。

4. 解决方案:卡奥斯提供闭环方案解决痛点,服务商可借鉴其平台+软件+硬件模式,深耕特定领域。

卡奥斯平台策略展示商业需求与运营管理挑战。

1. 商业对平台的需求:行业需整合云计算、物联网、大数据等技术,解决碎片化场景和知识壁垒,卡奥斯构建一体化能力服务多行业。

2. 平台的最新做法:采用“平台+软件+硬件”模式提供闭环解决方案,如数据智能和物联网双业务,平台招商累计客户超9500家。

3. 运营管理:收入结构物联网占71%,毛利率仅12.7%,整体毛利率18%,低于纯软件公司;依赖海尔客户占比57.7%,需优化独立性。

4. 风险规避:关联交易风险高,参考日日顺案例,平台应减少单一客户依赖;政府补助减少趋势,需强化自盈利。

卡奥斯案例揭示工业互联网产业动向和商业模式研究点。

1. 产业新动向:AI重塑行业,从概念验证迈入价值兑现,卡奥斯IPO展示盈利增长,2024年净利润6.51亿,2025前三季17.61亿。

2. 新问题:场景碎片化、知识壁垒高导致市场分散(前三份额3.3%),技术融合挑战大,通用平台难通吃。

3. 政策法规启示:政府补助支持发展(2023-2025年补助额),但逐年减少,需政策引导行业整合;卡奥斯关联交易问题提供法规警示。

4. 商业模式:数据智能(高毛利)和物联网(低毛利)双轮驱动,优化结构;AI驱动全链条智能决策,代表企业卡奥斯发展工业大模型创新模式。

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Quick Summary

COSMOPlat's IPO reveals the profitability path for industrial internet and key points for AI transformation.

1. The company is pursuing a Hong Kong IPO to become the first AI + industrial internet stock. It reported revenue of 50.7 billion yuan in 2024, turning a profit with net income of 651 million yuan. Profit for the first three quarters of 2025 grew to 1.761 billion yuan, while government subsidies have decreased year-over-year.

2. Its business is divided into Data Intelligence Solutions (high gross margin of 31%) and IoT Solutions (low gross margin of 12.7%). The proportion of Data Intelligence revenue has increased from 18.3% to 29.0%, optimizing the profit structure.

3. It holds a leading market position, ranking first in China's industrial data intelligence market with a 1.2% share. The top three players hold only 3.3% combined, indicating a highly fragmented market.

4. AI is evolving from an auxiliary tool to a core engine, deeply integrated across the entire chain from R&D to production scheduling. COSMOPlat is promoting industrial large models like COSMO-GPT to achieve an intelligent leap.

COSMOPlat's product innovation and industry trends in the industrial internet space offer insights for brands.

1. Product R&D focuses on AI-driven solutions, developing industrial large models covering data governance and edge control to help industries like home appliances and machinery optimize production chains.

2. Consumption trends show accelerated industrial digitalization, with AI becoming the core engine driving real-time optimization across the entire value chain. COSMOPlat exemplifies the potential of technology integration.

3. In brand channel building, COSMOPlat serves 9,500 clients through its integrated platform capability (platform + software + hardware). International revenue accounts for 12%-14%, indicating global expansion.

4. User behavior observation reveals high industry knowledge barriers, necessitating vertical solutions. Brands can learn from COSMOPlat's model to deeply cultivate specific market segments.

The industrial internet market offers growth opportunities alongside risks, with the COSMOPlat case providing practical insights.

1. Growth Market: The industry is in its early stages and highly fragmented; the top three players hold only 3.3% share. COSMOPlat leads with 1.2%, and its AI-driven value creation presents partnership opportunities.

2. Opportunity Insight: AI is reshaping industrial internet, moving from data visualization to intelligent decision-making. COSMOPlat's IPO demonstrates profitability potential; sellers can learn from its business optimization strategies.

3. Risk Alert: Revenue is highly concentrated, with IoT business comprising 71% and heavy reliance on Haier Group clients (57.7%), potentially impacting independence. Related-party transaction risks are highlighted by the stalled IPO of subsidiary Ririshun.

4. Latest Business Model: COSMOPlat builds closed-loop solutions, increasing the share of high-margin Data Intelligence. Sellers can explore similar platform+service models. Note the trend of decreasing government subsidies, emphasizing the need for self-sustaining profitability.

COSMOPlat's solutions present commercial opportunities for factories in digitalization and efficiency enhancement.

1. Product Production & Design Needs: COSMOPlat serves industries like home appliances, machinery, and automotive, offering data intelligence to optimize production processes, such as applying AI in energy/carbon management and production scheduling.

2. Commercial Opportunity: Advancing digitalization via industrial internet platforms, the COSMOPlat case shows an increasing share of high-value-added business. Factories can use similar solutions to enhance competitiveness.

3. Digitalization Insights: AI's deep integration enables real-time optimization across the entire chain. COSMOPlat's industrial large models encapsulate knowledge; factories can learn from this model to address fragmented scenarios. Its international revenue (12%-14%) offers insights for global expansion.

Industrial internet development trends and COSMOPlat's solutions reveal opportunities for service providers.

1. Industry Trend: AI is evolving from a supportive tool to a core engine, reshaping industrial internet. COSMOPlat's IPO marks a stage of value realization in a highly fragmented market where the top three players hold only 3.3% share.

2. New Technologies: Industrial large models (e.g., COSMO-GPT), data governance, and edge controllers. COSMOPlat promotes integrated technology convergence, combining cloud computing, IoT, etc.

3. Customer Pain Points: Fragmented scenarios and high knowledge barriers lead to industry dispersion, requiring vertical solutions. Technology providers are fragmented, posing integration challenges.

4. Solution: COSMOPlat offers closed-loop solutions addressing these pain points. Service providers can learn from its platform+software+hardware model to deeply cultivate specific domains.

COSMOPlat's platform strategy illustrates commercial demands and operational management challenges.

1. Commercial Demand for Platforms: The industry requires integration of technologies like cloud computing, IoT, and big data to solve fragmented scenarios and knowledge barriers. COSMOPlat builds integrated capabilities to serve multiple industries.

2. Latest Platform Practices: Adopting a "platform + software + hardware" model to provide closed-loop solutions, such as its dual Data Intelligence and IoT businesses. The platform has attracted over 9,500 cumulative clients.

3. Operational Management: IoT solutions contribute 71% of revenue but have a low gross margin of 12.7%, resulting in an overall gross margin of 18%, lower than pure software companies. Heavy reliance on Haier clients (57.7%) necessitates optimizing independence.

4. Risk Mitigation: High related-party transaction risk, as seen in the Ririshun case, suggests platforms should reduce single-customer dependency. The trend of decreasing government subsidies underscores the need for self-sustaining profitability.

The COSMOPlat case reveals industrial internet dynamics and research points for business models.

1. Industry Dynamics: AI is reshaping the sector, moving from proof-of-concept to value realization. COSMOPlat's IPO demonstrates profitable growth, with net profit of 651 million yuan in 2024 and 1.761 billion yuan in the first three quarters of 2025.

2. New Challenges: Fragmented scenarios and high knowledge barriers lead to a dispersed market (top three share: 3.3%), creating significant technology integration challenges and making universal platforms difficult to dominate.

3. Policy Implications: Government subsidies support development (subsidy amounts 2023-2025) but are decreasing annually, necessitating policy guidance for industry consolidation. COSMOPlat's related-party transactions offer regulatory warnings.

4. Business Model: A dual-engine drive with Data Intelligence (high margin) and IoT (low margin) optimizes structure. AI drives intelligent decision-making across the entire chain, with leader COSMOPlat developing industrial large models as an innovative model.

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】近日,海尔集团旗下工业互联网平台公司——卡奥斯物联科技股份有限公司正式向港交所递交上市申请,冲击“AI+工业互联网第一股”。

这是海尔系资本版图的又一次扩容,也意味着中国工业互联网行业在经过十年“概念验证”与“平台建设”后,迈入“价值兑现”阶段。

1、龙头地位下的“一体两面”

卡奥斯物联成立于2017年,前身为海尔集团内部孵化的工业互联网平台项目,以自主开发的COSMOPlat工业互联网平台为核心,构建了“平台+软件+硬件”的一体化能力,为家电、机械装备、汽车、能源化工等行业的客户提供从数据智能到物联网控制的闭环解决方案。

招股书披露,以2024年收入计,卡奥斯在中国基于平台的工业数据智能解决方案市场排名第一,市场份额约为1.2%。截至2025年9月30日,累计收费客户超过9500家。

卡奥斯主营业务分为两大板块:数据智能解决方案(包括:智能製造解决方案、绿色製造解决方案、专用平台建设与运营服务)和物联网解决方案(包括:变频智控解决方案、系统智控解决方案)。

招股书显示,卡奥斯收入从2023年的约499亿元增长至2024年的约507亿元,并于2024年实现扭亏为盈,净利润达6.51亿元。2025年前三季度,利润增长进一步加速至17.61亿元。盈利暴增背后,2023年至2025年前九个月,卡奥斯计入的政府补助分别为9760万元、7970万元和5050万元。

其中,高附加值的数据智能解决方案业务收入占比持续提升,从2023年的18.3%跃升至2025年三季度的29.0%。这部分业务毛利率约31%,是盈利结构优化的关键。

收入结构中,海外市场占比约12%-14%,国际化布局初具规模。

增长的另一面,是业务结构与收入来源的高度集中,这也构成市场审视卡奥斯的焦点。

卡奥斯的营收基本盘仍依赖物联网解决方案(以智能控制器等硬件为主)。截至2025年9月,这部分业务贡献了71%的收入,毛利率12.7%,直接导致卡奥斯整体毛利率长期在18%左右徘徊,显著低于纯软件或平台型科技公司25%-30%的平均水平。

同时,来自第一大客户海尔集团的收入占比从2023年的72.2%下降至2025年前九个月的57.7%,但依然处于绝对高位。这种深度绑定,虽在起步阶段提供了稳定的“试验田”和收入来源,也引发了对其独立市场化能力的质疑。

2、AI重塑工业互联网

尽管发展十年,卡奥斯所在的工业互联网赛道目前仍处早期,高度分散。根据招股书,前三名市场份额仅3.3%,卡奥斯以1.2%的份额位居第一,紧随其后的第二名、第三名分别占1.1%和1.0%。

分散的原因在于工业场景的极端碎片化与高壁垒。中国41个工业大类、数百个细分行业,生产流程、工艺知识、设备体系、管理标准天差地别。这种深嵌于行业的“知识壁垒”(Know-how)使得通用化平台难以通吃,为大量深耕特定领域的垂直解决方案商创造了生存空间。

工业互联网涉及云计算、物联网、大数据、AI等多种技术的深度融合,在行业发展初期,各类技术提供商(如云厂商、通信设备商、自动化企业、软件公司)从自身优势切入,各占一方,还没有出现能够整合全栈技术并通晓所有行业应用的绝对领导者。

目前的行业共识是,单纯的设备连接与数据可视化带来的价值增量逼近瓶颈,下一个十年的增长,必须依靠人工智能。

AI正从“辅助工具”演变为“核心引擎”,它不再仅限于视觉质检等单点优化,而是通过对海量工业知识的封装与重构,深入研发设计、生产调度、能碳管理等全链条,实现实时优化与智能决策。

卡奥斯也重点发展工业大模型(如COSMO-GPT),包括覆盖工业大模型(天智)、数据治理(天数)、边缘智能控制器等,依靠人工智能对数据和知识的深度挖掘,实现从“看见”到“洞察”再到“自主优化”的跃迁。

卡奥斯此次上市,精准卡位“AI+工业互联网”,通过“已验证的盈利能力” 和 “AI驱动的未来潜力” ,展示工业互联网发展的不同可能。

卡奥斯的成功与否,也将直接影响资本市场对整个赛道下一阶段的发展判断。

文章来源:亿邦动力

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