广告
加载中

嘉立创IPO顺利过会:以“数”与“智”贯通全链,撑开制造“长尾”广阔天地

亿邦智库黄斌 2026-05-15 10:41
亿邦智库黄斌 2026/05/15 10:41

邦小白快读

EN
全文速览

本文核心信息是电子产业互联网平台嘉立创2026年5月成功通过深交所IPO过会,这家企业的成长路径能给普通人了解中国制造业升级提供清晰参考,干货如下:

1. 核心业务信息:嘉立创定位产业基础设施综合服务商,聚焦硬件研发创新场景,满足全球数百万客户样品试制、小批量生产的快交付、定制化需求,目前已经服务全球近千万用户,仅EDA软件注册用户就突破658万,促成项目超5200万个。

2. 可参考的创业成长逻辑:嘉立创从行业未被满足的痛点切入,原来PCB打样小单不受传统厂商重视,成本高达数千元、交付要数周,它靠拼单模式把成本降到数十元、周期压缩到数天,把别人看不上的长尾需求做成了自己的核心护城河,这种切入方式对普通创业者有借鉴意义。

嘉立创的发展经验,给电子制造相关品牌商的品牌建设、业务布局提供了多重干货参考,具体如下:

1. 用户与趋势参考:当前消费端和创新端已经产生了大量长尾需求,高校学生、初创团队、中小研发企业的小批量定制需求长期被传统品牌忽略,聚合起来是规模足够大的新蓝海市场,值得品牌布局。

2. 定价与竞争参考:通过模式创新降低小单成本,嘉立创靠拼单生产把PCB打样价格从数千元降到数十元,用极致的价格优势快速打开市场,抢占长尾用户心智。

3. 品牌增长参考:嘉立创通过一站式全链路整合,打造了客户同源增长效应,用户从单一PCB订单逐步升级为全品类组合订单,既提升了用户粘性,也拉高了品牌营收,同时靠自研数据闭环打造核心壁垒,构建了难以复制的竞争力。

本文披露的嘉立创发展案例,给电子制造领域相关卖家提供了明确的机会提示和可学习经验,具体如下:

1. 政策与市场机会:当前资本市场和产业政策都高度青睐以数据要素、智能技术为核心的产业互联网项目,面向中小创新群体的长尾制造服务是政策和资本看好的宽广赛道,增长空间充足。

2. 商业模式可学习点:可以从传统厂商忽略的痛点切入,针对小批量定制这类别人“看不上、接不了”的需求,通过聚合模式把零散需求变成规模化可盈利的业务。

3. 运营可借鉴点:打造一站式服务整合分散环节,能有效提升用户体验,还能带动用户从单品类采购升级为多品类组合采购,拉高客单价。

4. 风险提示:单纯做交易撮合的平台没有核心竞争力,只有深度开发全产业链数据才能构建壁垒,卖家要警惕单纯做连接的模式陷阱。

嘉立创的数字化转型实践,给传统制造工厂的升级转型提供了清晰的方向和可落地的启示,具体如下:

1. 商业机会提示:传统工厂大多聚焦大客户大订单,长期忽略了样品试制、小批量生产的长尾需求,单个小订单价值不高,但聚合之后规模足够大,能够成为工厂新的业务增长点,市场空间广阔。

2. 生产数字化改造启示:可以引入AI算法搭建智能订单组合系统,对不同小订单的交期、尺寸、工艺要求等多维度数据做实时分析,自动拼单组合生产,能够大幅提升原材料利用率和生产效率,有效降低小订单的生产成本,压缩交付周期。

3. 全链路数字化启示:工厂可以通过自研工业软件搭建全链路数据闭环,实现设计端数据直接传递到制造端,还能实现自动接单、算法排单、自动编写加工程序,达成数据驱动的工厂自动化运作,大幅降低运营管理成本。

从嘉立创的发展路径,能清晰看到电子制造服务行业的发展趋势,也明确了客户痛点和可行的解决方案,干货如下:

1. 行业发展趋势:当前电子制造业正在从传统大批量生产向柔性化、数字化智造加速升级,数据已经成为驱动行业发展的核心生产要素,全产业链整合的产业互联网平台是行业发展的核心方向,目前已经获得资本市场和产业政策的双重支持,发展前景广阔。

2. 核心客户痛点:传统服务模式下,硬件创新主体做样品试制、小批量生产,需要分别对接设计软件商、工厂、元器件供应商等多个主体,流程繁琐、沟通成本高、交付周期长,同时大量中小创新主体的小批量需求长期得不到传统服务商的有效供给。

3. 成熟解决方案参考:可以针对长尾痛点做聚合生产,通过一站式平台整合所有服务环节,实现“一个概念进,一个产品出”的一体化服务,同时自研工业软件搭建全链路数据闭环,靠数据驱动生产打造核心壁垒。

嘉立创的成功发展,给产业互联网平台的运营、发展提供了很多可借鉴的经验,也明确了需要规避的风向,具体如下:

1. 市场需求总结:当前产业市场对一体化服务平台有强烈需求,传统分散的多环节对接模式效率太低,创新主体需要能够覆盖从设计到交付全流程的一站式平台解决所有需求,这是平台的核心机会。

2. 平台运营可借鉴的做法:不要只做简单的交易撮合,要深度开发数据要素价值,构建从设计到生产的全链路数据闭环,用AI算法实现千万级订单的智能组合排单,提升全链路效率,打造客户同源增长逻辑,靠基础服务吸引用户,逐步带动用户升级为多品类组合采购,实现自然增长。

3. 需要规避的风向:单纯做连接和交易撮合的平台没有核心壁垒,很难长期生存,只有深度整合全产业链、开发应用数据要素,才能构建竞争对手难以复制的护城河。

嘉立创IPO过会是中国产业互联网发展的典型案例,给研究中国制造业升级提供了很多值得研究的新内容,具体如下:

1. 产业新动向:当前中国电子制造业正处于从传统大批量生产向柔性化、数字化智造升级的关键阶段,以数据要素驱动全产业链整合的新型产业互联网平台,正在密集登陆资本市场,成为资本和政策双重青睐的新赛道,整合分散制造能力服务广大创新群体,已经成为中国制造升级的明确新方向。

2. 新商业模式总结:嘉立创开创了制造业的“长尾革命”新模式,将传统厂商忽略的零散小批量需求通过聚合变为可盈利的核心业务,不同于传统制造只做大单的模式,也区别于普通产业互联网平台只做交易撮合的模式,打造了数据贯通全链的新模式,把行业原来“多对多”的复杂交易关系转化为“多对一”的平台服务关系,构建了独特的核心壁垒。

3. 研究启示:数据要素已经从生产副产品变为驱动制造企业产能调配、工艺优化、供应链协同的核心生产要素,深度开发数据价值是制造企业升级的核心方向,这个领域还有很大的研究空间。

返回默认

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

This article highlights that JLC, a leading Chinese electronic industry internet platform, successfully passed its IPO review by the Shenzhen Stock Exchange in May 2026. The company's growth path offers a clear reference for general readers to understand China's manufacturing upgrading. Key takeaways are as follows:

1. Core business: JLC positions itself as a comprehensive industrial infrastructure service provider focused on the hardware R&D and innovation scenario. It serves fast, customized needs for prototype trial manufacturing and small-batch production for millions of global customers. To date, it has served nearly 10 million users globally; its EDA software alone has more than 6.58 million registered users and has supported over 52 million projects.

2. Actionable growth insights for startups: JLC started by targeting an unmet industry pain point: small-batch PCB prototyping was long overlooked by traditional manufacturers, with costs reaching thousands of yuan and lead times stretching over several weeks. Through a shared-production model, JLC cut costs to just tens of yuan and compressed lead times to a few days, turning overlooked long-tail demand into its core competitive moat. This entry strategy offers strong inspiration for ordinary entrepreneurs.

JLC's development experience provides multiple valuable insights for brand owners in the electronics manufacturing sector for brand building and business layout, as outlined below:

1. User and trend insights: Massive long-tail demand has emerged from the consumer and innovation sectors. Small-batch customization needs from college students, early-stage startups, and small-and-medium R&D firms have long been ignored by traditional brands. When aggregated, this demand forms a large blue ocean market worthy of brand布局.

2. Pricing and competitive takeaways: Through business model innovation, JLC cut the cost of small PCB prototyping orders from thousands of yuan to tens of yuan via shared production. This extreme price advantage allowed it to quickly capture market share and win mindshare among long-tail users.

3. Brand growth insights: JLC built a同源 customer growth effect through end-to-end one-stop integration. Users gradually upgrade from single PCB orders to full-category combined orders, which improves user retention and boosts brand revenue. At the same time, its self-developed closed data loop forms a core barrier that is hard for competitors to replicate.

JLC's development case disclosed in this article offers clear opportunity signals and actionable lessons for sellers in the electronics manufacturing space, as follows:

1. Policy and market opportunities: Industrial internet projects centered on data elements and intelligent technology are strongly favored by both capital markets and industrial policies today. Long-tail manufacturing services targeting small and medium-sized innovators represent a broad track backed by policy and capital, with ample room for growth.

2. Business model lessons: Sellers can start by targeting pain points ignored by incumbents. For "undesirable, unmanageable" needs such as small-batch customization, aggregated business models can turn fragmented demand into a scalable, profitable business.

3. Operational insights: Building one-stop services to integrate fragmented links improves user experience and drives users to upgrade from single-category purchases to multi-category combined orders, lifting average order value.

4. Risk warning: Pure transaction matching platforms lack core competitiveness. Only by deeply developing full-industry-chain data can you build sustainable barriers. Sellers should avoid the trap of simply acting as a connection intermediary.

JLC's digital transformation practice offers clear direction and actionable insights for traditional manufacturing factories pursuing upgrading, as outlined below:

1. Business opportunity insight: Most traditional factories focus on large clients and large orders, and have long overlooked the long-tail demand for prototype trial manufacturing and small-batch production. While individual small orders have low value, aggregated they form a large enough market that can become a new growth driver for factories, with broad market space.

2. Insights for digital production transformation: Factories can introduce AI algorithms to build an intelligent order combination system, which conducts real-time analysis of multi-dimensional data including delivery deadlines, sizes, and process requirements for different small orders, and automatically combines orders for shared production. This greatly improves raw material utilization and production efficiency, effectively cuts production costs for small orders, and compresses delivery lead times.

3. Insights for end-to-end digitalization: Factories can build a full-chain closed data loop via self-developed industrial software, enabling direct transfer of design-side data to manufacturing. This also enables automated order receiving, algorithm-based scheduling, and automatic processing programming, realizing data-driven automated factory operations that significantly cut operational and management costs.

JLC's growth path clearly reveals development trends in the electronics manufacturing service industry, defines core customer pain points, and outlines proven solutions. Key takeaways are as follows:

1. Industry development trends: The electronics manufacturing industry is accelerating its upgrade from traditional mass production to flexible, digital intelligent manufacturing. Data has become the core production factor driving industry growth, and full-industry-chain integrated industrial internet platforms are the core development direction of the sector. The track already enjoys dual support from capital markets and industrial policies, with broad development prospects.

2. Core customer pain points: Under traditional service models, hardware innovators need to coordinate separately with design software providers, factories, component suppliers and other stakeholders for prototype manufacturing and small-batch production. This results in cumbersome processes, high communication costs, and long lead times, while the small-batch demand of large numbers of small and medium-sized innovators has long been underserved by traditional service providers.

3. Proven solution reference: Providers can use aggregated production to address long-tail pain points, integrating all service links through a one-stop platform to deliver end-to-end service that turns a concept into a finished product. At the same time, building a full-chain closed data loop via self-developed industrial software and creating core barriers through data-driven production creates sustainable competitive advantage.

JLC's successful development offers many actionable lessons for industrial internet platform operators, and clarifies risks to avoid, as outlined below:

1. Market demand summary: There is strong current market demand for integrated service platforms. Traditional fragmented multi-stakeholder collaboration models are highly inefficient. Innovation players need one-stop platforms that cover the entire process from design to delivery to meet all their needs, which represents the core opportunity for platforms.

2. Operational best practices: Platforms should not stop at simple transaction matching. Instead, they must deeply unlock the value of data elements, build a full-chain closed data loop from design to manufacturing, use AI algorithms to enable intelligent combined scheduling for tens of millions of orders, improve end-to-end efficiency, and build a同源 customer growth logic: attract users with basic services, and gradually drive users to upgrade to multi-category combined purchases to achieve natural growth.

3. Risks to avoid: Platforms that only provide connection and transaction matching lack core barriers and can barely survive long term. Only by deeply integrating the entire industrial chain and developing and applying data elements can you build an un-replicable competitive moat.

JLC's successful IPO review is a representative case of China's industrial internet development, and offers many new research insights for the study of China's manufacturing upgrading, as outlined below:

1. New industrial trends: China's electronics manufacturing industry is currently at a critical stage of upgrading from traditional mass production to flexible digital intelligent manufacturing. New industrial internet platforms that drive full-industry-chain integration through data elements are listing on capital markets in growing numbers, becoming a new track favored by both capital and policy. Integrating dispersed manufacturing capacity to serve the broad innovation community has become a clear new direction for China's manufacturing upgrading.

2. Summary of the new business model: JLC has pioneered a new "long-tail revolution" model in manufacturing. It aggregates fragmented small-batch demand ignored by traditional manufacturers and turns it into a profitable core business. This model differs from both traditional manufacturing's focus only on large orders and general industrial internet platforms' focus only on transaction matching. JLC has created a new model with data running through the entire industry chain, transforming the original complex "many-to-many" transaction relationship into a simplified "many-to-one" platform service relationship, and built unique core barriers.

3. Research insights: Data elements have evolved from byproducts of production to core production factors that drive manufacturing capacity allocation, process optimization, and supply chain coordination. Deeply unlocking the value of data is the core direction for manufacturing upgrading, and this field still has large untapped research space.

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.

2026年5月12日,深圳证券交易所上市审核委员会召开2026年第22次审议会议,深圳嘉立创科技集团股份有限公司(简称“嘉立创”)符合发行条件、上市条件和信息披露要求,首发申请顺利过会。这是2026年过会的第67家企业,标志着这家从电子产业基础服务起步的企业,在资本市场迈出了关键一步。

嘉立创是一家业内领先、具有行业变革意义的电子产业互联网平台,其定位为“产业基础设施综合服务提供商”。其以工业软件赋能研发创新、以数字化技术赋能柔性制造、以产业互联网赋能产品流通,聚焦产品研发及硬件创新场景,满足全球数百万客户在样品试制、小批量生产过程中“快交付、高品质、定制化、一站式”的需求。

嘉立创的成长路径,折射出中国电子制造业由传统大批量生产向柔性化、数字化智造升级的典型轨迹。曾经,PCB(印制电路板)打样是电子工程师的一大痛点。因为厂家倾向于服务大客户、上量的订单,小批量打样开机成本高、周期长,对高校学生、初创团队和中小研发企业不太友好。嘉立创从这一行业痛点切入,通过“拼单生产”模式,将大量小批量订单按照尺寸、形状和工艺需求进行组合生产,使PCB单次打样成本从数千元降至数十元,交付周期从数周压缩至数天。这就是被业内称为制造业罕见的“长尾革命”——单个需求看似不值钱,聚合起来却足以成为护城河。

此类业务,说易行难。把小订单做出市场价值,获得市场化的收益,是其中的关键。嘉立创首先从自身入手,用数字化手段改造自有工厂,用算法把无数小单拼成大单生产,并形成了多个“一站式”板块,譬如电子产业链一站式服务,涵盖PCB/FPC智造、SMT贴片、电子元器件商城等;机械产业链一站式服务,覆盖FA零部件商城、3D打印、CNC智造、钣金加工等;设计制造国产化工业软件,包括嘉立创EDA、CAM、ECAD、云ERP等,进一步将将传统PCB厂商“看不上、接不了、接了亏钱”的长尾需求变成了核心业务。

嘉立创商业模式的突出特征,在于其发挥数据要素价值与智能技术对电子产业链的深度整合。因为在传统模式下,工程师需要分别对接EDA软件商、PCB工厂、元器件代理、SMT贴片厂、CNC加工厂、3D打印服务商等多个独立环节,每个环节对应一份合同、一次报价、一轮沟通、一段交付周期。手续与流程极为繁杂。而在嘉立创平台上,将所有环节在同一账户、同一界面、同一物流中完成衔接——“一个概念进,一个产品出”成为现实。

尤为值得关注的是,平台形成了经典的“客户同源”效应。许多中小企业2在平台上的采购行为从单一PCB订单升级为“PCB+元器件+PCBA+机械结构件”的组合订单,一体化战略的价值正在兑现。

事实上,在笔者看来,嘉立创商业模式更深层的竞争力,是来自其对数据要素的深度开发与应用,这使其区别于以“连接”与“交易”为主要功能的产业互联网平台。由于单纯的交易撮合价值有限,而基于全产业链数据的聚合、分析与反哺,才是平台型企业的核心壁垒。嘉立创很早就通过自研工业软件矩阵构建了完整的数据闭环——以嘉立创EDA为设计入口,全球累计注册用户已突破658万人,促成设计硬件项目超5200万个。工程师在设计端产生的数据,通过CAM工业软件直接传递到制造端,实现从设计到生产的无缝衔接,数据贯通全链路。在制造端,嘉立创自主研发的“AI驱动的千万级订单智能组合生产系统”,融合多种算法创新,对订单交期、板材尺寸、工艺要求等多维度数据进行实时分析,日均完成数万份不同规格PCB订单的拼板组合,大幅提升板材利用率和生产效率。加之全国性布局,实现了全面的互联互通,达到数据驱动的工厂自运作,包括自动接单、算法排单、自动编写作业程序。这意味着,嘉立创将电子制造业产业链上“多对多”的复杂交易关系,转化为“多对一”的平台化服务关系。在这个过程中,数据不仅是生产的副产品,更是驱动产能调配、工艺优化、供应链协同的核心生产要素。这种以数据要素贯通全产业链的模式,使其具备了典型的产业互联网平台特征。

嘉立创的成功过会,是近期产业互联网平台密集登陆资本市场的最新注脚。资本市场与产业政策都对以数据要素与智能技术为核心的新型平台给予了更多的青睐。而嘉立创从一家最初解决工程师PCB打样痛点的小企业,到如今服务全球近千万用户的硬件创新基础设施平台,其成长路径表明在“中国制造”这片沃土上,将分散的制造能力用数字化手段整合起来,服务最广大的创新者群体,本身就是一条宽广的赛道。以数据要素驱动的全产业链整合模式,在传统制造业与产业互联网的交汇地带,是一片广阔的天地。

文章来源:亿邦智库

广告
微信
朋友圈

这么好看,分享一下?

朋友圈 分享

APP内打开

+1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0