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嘉立创千亿市值登陆深交所——产业互联网迎来资本密集周丨产业互联网周报

亿邦动力 2026-08-09 17:02
亿邦动力 2026/08/09 17:02

邦小白快读

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本文是近期产业互联网行业周报,汇总了业界动态、投融热点、宏观政策和行业趋势等核心干货,核心结论是当前产业互联网已进入价值验证期,AI+产业互联网仍是长期布局方向。

1. 核心行业事件:嘉立创登陆深交所市值突破千亿,成为A股首个产业互联网平台型上市公司;宇树科技开启科创板IPO询价,华秋完成数亿元D轮融资,多家头部企业布局数智供应链、工业互联网,大模型参数竞争已经升级到万亿级,价格战与能力竞赛同步开启。

2. 核心政策动态:中央政治局会议定调推进六张网建设,深入实施人工智能+行动,发改委正制定2026-2030年扩大内需战略方案,工信部印发工业绿色低碳发展十五五规划,明确碳排放达峰目标。

3. 行业判断:当前AI应用进入产研深水区,行业竞争从有没有平台转向平台有没有真价值,唯有扎根行业、跑通商业闭环的平台才能穿越周期。

本文汇总了产业互联网领域最新发展动态,对品牌商把握行业趋势、布局业务升级有较高参考价值。

1. 产业趋势层面:当前AI正在重写多个产业的底层逻辑,逐步拉低调用中国供应链的门槛,产业互联网竞争从拼平台布局转向拼真实价值,品牌商可依托AI降低供应链参与成本,重构自身供应链体系。

2. 产品研发方向:AI已经成为产业升级核心驱动力,行业正从数字化连接向智能化重构升级,品牌商可加大AI在全链路的应用,提升产品研发和供应链管理效率。

3. 市场与政策信号:产业资本持续加注AI+工业互联网赛道,嘉立创等垂直产业互联网平台获得资本高度认可,说明平台型商业模式已经得到验证,品牌商可对接头部产业平台拓展渠道;中央推进人工智能+行动、中长期扩大内需方案制定,意味着国内内需市场将迎来新增长空间。

本文梳理了近期产业互联网领域的政策、动态和趋势,能帮助卖家把握行业机会、明确方向规避风险。

1. 政策红利方面:中央明确加力扩大内需,深入推进人工智能+行动,国家发改委正抓紧制定2026-2030年扩大内需战略实施方案,国内内需市场将迎来长期增长机会,卖家可提前布局国内市场抢占增量。

2. 行业机会方面:AI正在重构电子、能源、供应链多个领域,大模型、机器人赛道资本化提速,数智供应链领域已经诞生多个成熟的合规、降本解决方案,卖家可接入头部平台提升自身运营合规能力、降低成本。

3. 风险提示方面:当前产业互联网已经进入价值验证期,过去的入场券逻辑已经失效,单纯依托流量概念的模式难以为继,卖家需要扎根细分行业,跑通自身商业闭环才能长期发展;大模型行业开启价格战,卖家可借助降价的大模型能力提升运营效率。

本文汇总的产业互联网最新动态,对工厂把握商业机会、推进数字化转型有较强的参考价值。

1. 转型方向:当前全行业都在加快数智化升级,能源、电子、供应链等领域都在布局工业互联网和AI应用,工厂需要加快数字化转型步伐,跟上行业升级节奏,契合政策导向。

2. 商业机会:AI逐步拉低了供应链参与门槛,电子产业已经出现成熟的一站式产业服务平台,嘉立创、华秋等平台覆盖了从设计、制造到分销的全产业链,工厂可以入驻这类平台对接需求,拓展销路获得更多订单。

3. 转型启示:产业互联网已经进入价值验证阶段,AI正在重构产业底层逻辑,工厂可依托头部平台的AI能力优化生产设计流程,降低研发和生产成本,提升生产效率。

4. 政策支持:中央推进人工智能+行动,工信部发布工业绿色低碳发展规划,工厂对接政策要求布局绿色生产、数智化生产,更容易获得相关资源支持。

本文汇总的产业互联网最新动态,能帮助服务商把握行业趋势,找准客户痛点,优化自身解决方案。

1. 行业发展趋势:当前产业互联网进入价值验证期,AI+产业互联网仍是产业资本锚定的长期方向,客户需求已经从搭建数字化平台转向创造真实价值,服务商需要扎根细分行业打造可落地的闭环解决方案,不能停留在概念层面。

2. 技术发展方向:AI是当前产业升级核心驱动力,AI大脑、人机协同已经成为数智供应链的核心,大模型竞争转向产业落地深度,服务商需要将AI延伸到完整业务流程,不能只停留在单一环节。

3. 客户痛点与机会:当前客户对合规、降本、提效需求明确,央国企采购需要全流程合规风控,工业品采购需要信创适配、全链路协同,服务商可针对不同细分场景打造专属解决方案。

4. 行业提示:当前行业普遍存在工业模型数量多但可用度低的问题,AI提效需要覆盖完整产研流程才能真正创造价值,避免只做表面提升。

本文梳理的产业互联网最新动态和趋势,对平台商调整运营方向、抓住发展机会、规避行业风险有重要参考价值。

1. 市场需求变化:当前市场对平台的需求已经从简单的数字化连接转向全链路智能化重构,客户需要能落地的数智化解决方案,平台商需要完成从数字化平台向数智化服务平台的战略跃迁,打造全链路服务闭环。

2. 可参考的成熟做法:多家头部平台已经跑通细分场景模式,比如欧菲斯的AI驱动4+1战略、京东工业的五维合规风控体系、智采云的信创适配+客户分群模式,都获得行业认可,平台商可结合自身场景参考优化。

3. 资本与行业风向:产业资本持续看好AI+产业互联网、工业互联网数据服务、机器人等赛道,嘉立创上市证明了产业互联网平台的资本化路径已经走通,垂直领域平台价值获得资本认可。

4. 风险规避:当前行业进入分化的价值验证期,靠概念获取流量的模式已经失效,平台需要扎根行业跑通商业闭环,打造真实价值才能穿越周期,避免被淘汰。

本文汇总了近期产业互联网领域的最新事件、政策和行业判断,为产业研究提供了丰富的一手信息,有较高研究参考价值。

1. 产业新动向:当前产业互联网已经进入价值验证期,行业开始出现分化,AI应用从个人工具步入产研深水区,产业整体从数字化连接转向智能化重构;大模型参数竞争升级到万亿级,价格战与能力竞赛同步开启,机器人、工业互联网数据服务赛道资本化提速,嘉立创上市成为A股首个产业互联网平台型上市公司,标志着赛道获得资本里程碑式的价值认可。

2. 行业新问题:当前行业存在工业模型数量多但高价值可用模型少的矛盾,AI提效仅停留在代码生成环节,未覆盖完整产研流程,整体效率并未得到提升,AI向产业级应用落地面临多重系统性挑战。

3. 政策与商业模式:中央出台人工智能+行动、扩大内需等系列政策,为产业研究指明了新方向;多家平台已经跑通不同细分场景的数智服务商业模式,验证了垂直产业互联网平台的商业价值。

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Quick Summary

This article is a recent weekly roundup of the industrial internet industry, covering core updates including industry developments, investment and financing trends, macro policies, and sector trends. Its core conclusion is that industrial internet has now entered a phase of value validation, and "AI + Industrial Internet" remains the long-term layout direction.

1. Key industry developments: JLCPCB has listed on the Shenzhen Stock Exchange with a market capitalization exceeding RMB 100 billion, becoming the first platform-based industrial internet public company on the A-share market; Unitree Robotics has opened its IPO pricing on the STAR Market, and Huaqiu has closed a multi-hundred-million RMB Series D funding round. Multiple leading companies are laying out digital-intelligent supply chains and industrial internet, while large model parameter competition has escalated to the trillion-level, with both price wars and capability contests underway.

2. Key policy updates: The Political Bureau of the CPC Central Committee has set the tone for advancing the construction of six key network infrastructure systems, and will deepen the implementation of the "Artificial Intelligence +" initiative. The National Development and Reform Commission (NDRC) is drafting the 2026-2030 strategy to expand domestic demand, while the Ministry of Industry and Information Technology (MIIT) has issued the 15th Five-Year Plan for Industrial Green and Low-Carbon Development, which clarifies the carbon peaking target.

3. Industry outlook: AI applications have now entered the deep end of product R&D, and industry competition has shifted from "who has a platform" to "whether the platform delivers real value". Only platforms rooted in real industries with proven viable business models can survive market cycles.

This article summarizes the latest developments in the industrial internet space, offering valuable reference for brands to grasp industry trends and plan business upgrades.

1. Industrial trends: AI is rewriting the underlying logic of multiple industries, and gradually lowering the threshold for accessing China's supply chain. Industrial internet competition has shifted from competing for platform footprint to competing for real delivered value. Brands can leverage AI to cut supply chain participation costs and restructure their own supply chain systems.

2. Product R&D direction: AI has become the core driving force of industrial upgrading, and the industry is evolving from digital connection to intelligent restructuring. Brands can expand AI application across their entire business chain to improve product R&D and supply chain management efficiency.

3. Market and policy signals: Industrial capital continues to bet heavily on the "AI + Industrial Internet" track, and vertical industrial internet platforms such as JLCPCB have won strong recognition from investors, proving that the platform-based business model has been validated. Brands can partner with leading industrial platforms to expand their distribution channels; the central government's push for the "Artificial Intelligence +" initiative and the drafting of a medium- to long-term domestic demand expansion strategy mean the domestic consumer market will open up new growth room.

This article sorts out recent policies, developments and trends in the industrial internet sector, helping sellers grasp industry opportunities, clarify direction and mitigate risks.

1. Policy dividends: The central government has clearly committed to expanding domestic demand and deepening the "Artificial Intelligence +" initiative, with NDRC currently drafting the 2026-2030 implementation plan for the domestic demand expansion strategy. The domestic market will see long-term growth opportunities, and sellers can layout the domestic market in advance to capture incremental demand.

2. Industry opportunities: AI is restructuring multiple sectors including electronics, energy and supply chain. Capitalization of the large model and robotics tracks is accelerating, and mature compliance and cost-reduction solutions have already emerged in the digital intelligent supply chain space. Sellers can connect to leading platforms to improve operational compliance and cut costs.

3. Risk notes: Industrial internet has now entered the value validation phase, and the old "entry ticket" logic is no longer valid. Pure traffic-concept-based business models are unsustainable. Sellers need to root themselves in niche segments and build a viable business closed loop for long-term growth; as the large model industry enters a price war, sellers can leverage discounted large model capabilities to boost operational efficiency.

The latest industrial internet updates summarized in this article offer strong reference value for factories to grasp business opportunities and advance digital transformation.

1. Transformation direction: The entire industry is accelerating digital-intelligent upgrading, with players in energy, electronics, supply chain and other sectors rolling out industrial internet and AI applications. Factories need to speed up their digital transformation to keep up with industry upgrading and align with policy orientations.

2. Business opportunities: AI is gradually lowering the barrier to participate in supply chains, and mature one-stop industrial service platforms have already emerged in the electronics industry. Platforms such as JLCPCB and Huaqiu cover the entire industry chain from design and manufacturing to distribution. Factories can settle on these platforms to connect with demand, expand distribution and secure more orders.

3. Transformation insights: Industrial internet has entered the value validation phase, and AI is restructuring the underlying logic of industries. Factories can leverage the AI capabilities of leading platforms to optimize production and design processes, cut R&D and production costs, and improve production efficiency.

4. Policy support: With the central government advancing the "Artificial Intelligence +" initiative and MIIT releasing an industrial green low-carbon development plan, factories that align with policy requirements to layout green and digital-intelligent production will have greater access to relevant policy and resource support.

The latest industrial internet updates summarized in this article help service providers grasp industry trends, identify customer pain points, and optimize their own solutions.

1. Industry development trends: Industrial internet has now entered the value validation phase, and "AI + Industrial Internet" remains the long-term direction that industrial capital is anchored to. Customer demand has shifted from building digital platforms to creating real tangible value. Service providers need to root themselves in niche industries and build deliverable closed-loop solutions, rather than staying at the concept level.

2. Technology development direction: AI is the core driving force of current industrial upgrading. AI brains and human-machine collaboration have become the core of digital-intelligent supply chains, and large model competition has shifted to the depth of industrial implementation. Service providers need to extend AI integration across complete business processes, rather than only covering a single link.

3. Customer pain points and opportunities: Current customer demand for compliance, cost reduction and efficiency improvement is clear: central state-owned enterprise procurement requires full-process compliance risk control, while industrial product procurement requires domestic IT adaptation and full-link collaboration. Service providers can build customized solutions for different niche scenarios.

4. Industry notes: The industry currently faces a widespread problem of having large numbers of industrial models but low availability of usable models. AI-driven efficiency improvement must cover the entire R&D process to create real value, to avoid superficial improvements that deliver no actual gains.

The latest industrial internet developments and trends sorted out in this article offer important reference value for platform operators to adjust operational direction, seize development opportunities, and mitigate industry risks.

1. Changing market demand: Current market demand for platforms has shifted from simple digital connection to full-link intelligent restructuring; customers need deliverable digital-intelligent solutions. Platform operators need to complete a strategic transition from digital platforms to digital-intelligent service platforms, and build a full-link closed-loop service system.

2. Referenceable mature practices: Multiple leading platforms have already built proven business models in niche scenarios: for example, OFS's AI-driven 4+1 strategy, JD Industrial's five-dimensional compliance risk control system, and Zicainc.com's model of domestic IT adaptation plus customer segmentation have all won industry recognition. Platform operators can reference and optimize these models based on their own scenarios.

3. Capital and industry winds: Industrial capital remains bullish on tracks including AI + industrial internet, industrial internet data services, and robotics. JLCPCB's listing proves that the capitalization path for industrial internet platforms is now open, and the value of vertical sector platforms has won capital recognition.

4. Risk mitigation: The industry has now entered a differentiated value validation phase, and concept-driven traffic acquisition models are no longer viable. Platforms need to root themselves in industries, build a proven business closed loop and deliver real value to survive market cycles and avoid elimination.

This article summarizes the latest events, policies and industry judgments in the industrial internet space, providing abundant first-hand information and high research reference value for industrial research.

1. New industry developments: Industrial internet has now entered the value validation phase, and the industry is starting to see market differentiation. AI applications have moved from consumer tools to the deep end of industrial R&D, and the overall industry is shifting from digital connection to intelligent restructuring; large model parameter competition has escalated to the trillion-level, with both price wars and capability contests underway. Capitalization of the robotics and industrial internet data service tracks is accelerating, and JLCPCB's listing as the first platform-based industrial internet public company on the A-share market marks a milestone of capital value recognition for the track.

2. New industry challenges: The industry currently faces a contradiction between the large number of existing industrial models and the lack of high-value usable models. AI-driven efficiency gains only stay at the code generation stage, and do not cover the entire R&D process, so overall efficiency has not improved. AI deployment for industrial-level applications faces multiple systemic challenges.

3. Policy and business model insights: The central government has rolled out a series of policies including the "Artificial Intelligence +" initiative and domestic demand expansion, pointing out new directions for industrial research; multiple platforms have already built proven digital service business models for different niche scenarios, validating the commercial value of vertical industrial internet platforms.

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 .

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# 业界新事 #

1 协鑫集成投资成立数字能源新公司,布局工业互联网数据服务

8月6日消息,深圳市协鑫舱元数字能源有限公司近日成立,经营范围包含大数据服务、人工智能行业应用系统集成服务、物联网技术服务、工业互联网数据服务等。企查查股权穿透显示,该公司由协鑫集成全资子公司苏州协鑫集成投资有限公司等共同持股。这是能源企业加速向数智化方向转型的最新信号。

2 欧菲斯发布“4+1”战略:构建A2A人机协同数智供应链基础设施

欧菲斯入选《2026数智化采购发展报告》年度解决方案与技术服务提供商,以AI大脑推行“4+1”战略,标志着其完成从数字化采购平台向全国领先数智化供应链服务平台的战略跃迁。“4+1”战略以AI大脑为核心,打通供应链全链路数据,构建人机协同的智能决策体系,推动采购从流程驱动走向智能驱动。

3 京东工业:五维合规管理,AI驱动筑牢电子商城运营风控防线

京东工业入选《2026数智化采购发展报告》年度解决方案与技术服务提供商,以AI创新驱动构建五维合规闭环,结合央企实践拆解方案,助力央国企电子商城实现阳光透明、风险可控。京东工业通过智能风控模型、合规规则引擎等技术手段,为央国企采购提供全流程合规保障。

4 苏宁易购易采云入选《2026数智化采购发展报告》年度解决方案与技术服务提供商

苏宁易购易采云入选《2026数智化采购发展报告》年度解决方案与技术服务

提供商,依托国资合规、自营供应链、属地服务及AI风控优势,结合政企经验与履约网络,实现合规、降本、提效价值。易采云将苏宁全零售生态能力注入政企采购场景,构建从需求匹配到履约交付的一体化数智采购闭环。

5 智采云:依托信创适配与客户分群,打造工业品全域协同数智供应链

智采云入选《2026数智化采购发展报告》年度解决方案与技术服务提供商,依托分层技术架构、分类型客户专属服务、信创适配、配套供应链金融及落地实践案例形成完整服务闭环。智采云聚焦工业品采购场景,以信创适配为底座,构建覆盖全品类、全流程的数智供应链协同体系。

6 阿里Qwen3.8正面竞争Kimi K3:参数战打到2.4万亿

阿里云在Kimi K3发布后迅速推出Qwen3.8-Max,以“日更”和“骨折价”抢占市场。下一个问题是:这些能力,能在多大程度上改变真实的软件开发方式?大模型参数竞争已从千亿级跃升至万亿级,价格战与能力竞赛同步升级,产业落地的深度成为衡量模型价值的真正标尺。

7 广东省物流行业协会召开农产品(冻品)金融供应链业务对接会

7月31日,广东农产品(冻品)金融供应链业务对接会召开,省物流行业协会主持,广州旺满嘉贸易、货车易(广州)供应链、粤旺农业集团、中交(广州)供应链管理、佛山万联易达科技、东鑫供应链等企业负责人参会,共商深化金融供应链发展、打通企业资源互通渠道。

# 投融热点 #

1 华为哈勃等入股极顶数创,工业互联网数据服务领域获产业资本加注

8月3日,极顶数创完成工商变更,新增深圳哈勃科技投资合伙企业等股东,注册资本从350.8万元增至448.2万元。这是华为哈勃在工业互联网数据服务赛道的最新布局。

2 宇树科技IPO进入询价阶段,机器人赛道资本化提速

8月5日,宇树科技启动科创板IPO初步询价,8月10日申购,预计发行市值约420亿元。此前的7月,人形机器人赛道融资持续火热,行业正从技术验证走向商业规模化。

3 嘉立创深交所主板挂牌上市:市值破千亿,成A股首个产业互联网平台型上市公司

8月4日,嘉立创(001232.SZ)正式登陆深交所主板,发行价为56元/股,当日收盘报收137.8元,涨幅达146%,市值突破1000亿元。嘉立创以102.32亿元的年营收、950万注册用户和年2100万笔订单,成为A股市场首个集EDA工业软件、PCB制造、电子元器件分销、PCBA及机械产业链服务于一体的产业互联网平台型上市公司。钟鼎资本等早期投资方迎来收获期,嘉立创的上市标志着产业互联网平台在资本市场获得里程碑式的价值认可。

4 华秋完成数亿元D轮融资,加速AI重构电子产业全链路

8月5日,国内头部电子产业一站式智能基础设施平台——深圳华秋智联股份有限公司宣布已完成数亿元D轮股权融资。本轮融资由顺为资本、高瓴创投联合领投,老股东启赋资本等持续加持。华秋自2011年成立以来,已构建覆盖“PCB制造、元器件电商、SMT贴片”等电子产业一站式服务平台,服务全球超50万企业客户。此轮融资将重点用于AI技术在电子产业链全链路的深度应用,推动从“数字化连接”向“智能化重构”的产业升级。

# 宏观政策 #

1 中央政治局会议定调:扎实推进“六张网”规划建设,深入实施“人工智能+”行动

7月30日,中共中央政治局召开会议,分析研究当前经济形势,部署下半年经济工作。会议明确提出要加大逆周期调节力度,加力扩大内需;扎实推进“六张网”规划建设,深入实施“人工智能+”行动;加快财政支出和债券资金使用进度,有力推进“两重”建设和“两新”工作;制定实施全国统一大市场建设条例,继续综合整治“内卷式”竞争。

2 国家发改委抓紧制定扩大内需战略实施方案(2026-2030年)

7月31日,国家发改委国民经济综合司副司长周宏伟在新闻发布会上表示,近期国家发改委正会同有关部门抓紧研究制定扩大内需战略实施方案(2026-2030年),将以更大力度、更实举措有效扩大国内需求。

3 工信部印发《工业绿色低碳发展“十五五”规划》

工信部印发《工业绿色低碳发展“十五五”规划》,明确到2030年工业领域二氧化碳排放量达到峰值,部署“实施1个行动、提升4个能力、健全2个体系”重点任务。

4 国常会部署:用好存量政策,谋划增量政策,更好发挥住房公积金功能

7月31日,国务院总理李强主持召开国务院常务会议,强调要切实提升宏观政策实施效能,用好用足各项存量政策,及时谋划出台务实管用的增量政策。会议提出要有效扩大国内需求,加快实施“十五五”规划确定的重大项目,扎实推进“六张网”规划建设,更好发挥住房公积金功能作用。

# 本周金句 #

1 “从‘数字化连接’到‘智能化重构’,AI正在重写电子产业的底层逻辑。”

——华秋D轮融资发布,阐述AI在电子产业链的应用方向


2 “调用中国供应链的门槛,正在被AI一点点拉平。”

——浙江之声记者王小亮,观察AI时代义乌创业生态的变化


3 “AI大脑是数智供应链的决策中枢,人机协同是效率跃迁的关键路径。”

——欧菲斯“4+1”战略核心表述


4 “一个平台可能声称有上万个工业模型,但真正有分析价值的AI模型可能只有几十个。”

——双跨平台评估调研,揭示工业模型数量与可用度之间的落差


5 “代码生成环节变快,如果后续返工增加,整体交付效率依然没有改善。”

——ToB AI产研大会调研结论,指出AI提效需从代码生成延伸至完整产研流程

# 本周叙评 #

本周产业互联网的核心信号是“价值验证”。双跨平台步入价值验证期,开始出现分化。产业AI应用进入产研“深水区”。ToB AI产研大会揭示,AI从个人工具走向团队流程,面临的是需求规格化、架构约束沉淀、质量门禁前移等系统性挑战。产业资本仍在布局,AI+产业互联网仍是产业资本锚定的长期方向。宇树科技IPO进入询价阶段,则为机器人赛道的资本化路径提供了参考样本。AI原生时代的产业互联网竞争,正从“有没有平台”转向“平台有没有真价值”。“入场券”逻辑失效后,唯有扎根行业、跑通商业闭环的平台才能穿越周期。

文章来源:亿邦动力

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FAQ回顾

嘉立创是什么类型的上市公司?

2024年8月4日嘉立创正式登陆深交所主板,上市当日市值突破千亿元,是A股首个集EDA工业软件、PCB制造、电子元器件分销、PCBA及机械产业链服务于一体的产业互联网平台型上市公司,年营收达102.32亿元,拥有950万注册用户。

数智化采购领域有哪些优秀解决方案服务商?

欧菲斯、京东工业、苏宁易购易采云、智采云均入选《2026数智化采购发展报告》年度解决方案与技术服务提供商,分别在人机协同数智供应链、央国企采购合规风控、政企采购一体化、工业品信创适配等场景具备核心服务能力。

工业绿色低碳发展“十五五”规划提出了什么目标?

工信部印发的《工业绿色低碳发展“十五五”规划》明确,到2030年工业领域二氧化碳排放量达到峰值,部署“实施1个行动、提升4个能力、健全2个体系”的重点任务,推动工业领域绿色低碳转型。

当前产业互联网领域的核心发展趋势是什么?

当前产业互联网竞争已从“有没有平台”转向“平台有没有真价值”的价值验证阶段,AI深度融合产业全链路成为核心发展方向,扎根行业、跑通商业闭环的平台更易获得资本认可及长期发展空间。

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