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鑫方盛拓展地方;卓尔智联布局前海;震坤行发起行业大会丨产业互联网周报

亿邦动力 2026-06-21 17:23
亿邦动力 2026/06/21 17:23

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本文是最新一期产业互联网行业周报,汇总了近期产业互联网领域的核心动态,可快速了解行业最新变化,核心干货如下

1. 头部企业动作方面,涵盖京东工业、震坤行、鑫方盛等十余家企业的最新布局:京东工业联合德力西打造工业行业低压电气大模型,震坤行发起第一届工业用品大会,成立AI公司玲珑智能并发布行业首个工业用品PB级数据引擎,鑫方盛2026年将拓展地方国企与海外市场,卓尔智联布局前海开拓电子元器件与AI供应链新赛道。

2. 资本与政策方面,硅基流动完成超20亿元B轮融资,觅蜂科技完成数亿元天使+轮融资,七部门印发新方案支持“平台+产业带”模式,扶持中小企业数字化转型。

3. 行业现状方面,AI加速渗透产业互联网,但也面临AI成本上涨、商业闭环需在规模化与盈利间找平衡的挑战。

本文汇总的产业互联网最新动态,能为品牌商提供趋势参考与业务机会,核心干货如下

1. 行业发展趋势:AI重构全产业链已经成为确定性方向,多个赛道已经落地AI融合实践,比如汇通达和王品柚成立合资公司,用AI重构大健康饮品产业链,焦点科技持续迭代外贸AI产品,零一万物定义养殖业自动化分级,品牌商可结合自身主业布局AI升级。

2. 渠道拓展机会:政策明确支持“平台+产业带”模式,助力品牌打造特色品牌,同时鑫方盛等头部企业已经将拓展地方国企、海外市场作为2026核心战略,品牌商可借力平台资源拓展这些新兴渠道,获取大客户订单。

3. 产品研发方向:京东工业开放大模型生态“百川计划”,品牌商可联合平台开发行业大模型,借力技术升级产品,德力西已经落地全流程合作并实现业务增值。

本文整理的最新行业信息,能为卖家提供政策参考、机会提示与风险提醒,核心干货如下

1. 最新政策利好:七部门印发《促进平台经济大中小企业协同发展行动方案(2026—2028年)》,明确支持“平台+产业带”模式,支持龙头企业建设工业互联网平台服务中小企业,还将建设一批行业数字化转型促进中心,卖家可借力政策与平台资源获得转型扶持与发展机会。

2. 新兴增长机会:当前AI供应链、电子元器件、大健康、工业智能化、跨境贸易都处于增长期,地方国企、海外市场都是新的拓展方向,数据显示京东工品汇AI智采管家采购额增长56倍,云汉芯城一季度营收同比增长79.46%,验证了相关赛道的需求增长。

3. 风险提示:当前行业存在两大挑战,AI算力成本已经成为企业新增成本压力,产业互联网商业闭环仍需平衡规模化与盈利性,卖家需要提前控制成本,理性布局新业务。

本文的行业动态能为工厂带来转型启示与商业机会参考,核心干货如下

1. 生产与产品需求变化:AI已经开始重构生产与供应链环节,工厂可借力AI技术升级生产效率,比如美云智数推出AI跨境供应链韧性保障方案,打通国内外双链协同,零一万物推进养殖业自动化分级,工厂可引入适配的AI方案提升自身竞争力。

2. 可对接的商业机会:政策支持龙头平台带动中小企业数字化转型,还支持“平台+产业带”模式打造品牌,工厂可对接平台资源,获取大订单合作,比如齐心集团就是依托平台业务成功中标中国大唐集团多年度MRO工业品长协项目,实现业务增长。

3. 数字化转型启示:头部企业已经将数智化转型作为拓展新市场的基础,鑫方盛2025年完成数智化转型后,2026年得以拓展地方国企与海外新市场,工厂加快数字化布局,还可参与大模型生态合作,获得更多发展空间。

本文的行业动态能为服务商梳理行业趋势、技术方向与客户需求,核心干货如下

1. 行业发展趋势:当前AI已经成为产业互联网转型的核心驱动力,工业用品行业已经从过去的各自为战走向行业协同,产业供应链正从交易平台向产业基础设施升级,资本市场也重点聚焦AI基础设施领域,服务商面临大量市场需求。

2. 核心技术发展方向:当前行业认可的核心技术方向包括行业大模型、统一数据底座、工业级大数据引擎、AI供应链解决方案等,业内已经明确统一数据底座是AI落地的基础,震坤行已经发布行业首个工业用品PB级数据引擎,可作为技术参考。

3. 客户痛点与解决方案方向:当前客户核心痛点是数智化转型需求迫切、跨境供应链协同难度大、AI落地成本高,服务商可针对性开发解决方案,政策也支持建设行业数字化转型促进中心,服务商可参与获得政策支持,美云智数的AI跨境方案已经中标项目,验证了方案的可行性。

本文的行业动态能为平台商梳理市场需求、头部做法与需要规避的风险,核心干货如下

1. 当前市场对平台的核心需求:市场端企业普遍需要AI技术赋能、供应链协同服务、大订单对接支持、数智化转型服务,政策层面也要求平台对接地方产业带,带动中小企业协同发展,平台可围绕这些需求调整业务方向。

2. 头部平台的最新布局参考:多家头部平台已经明确新的发展战略,鑫方盛2026年将深耕行业,拓展地方国企与海外市场,卓尔智联布局前海深港双总部,开拓电子元器件与AI供应链新赛道,京东工业推出大模型生态“百川计划”,联合行业企业落地大模型应用,都可作为布局参考。

3. 需要规避的行业风险:当前行业有两大明确风险,一是AI的Token成本已经成为平台的新增大额成本压力,二是产业互联网尚未找到规模化与盈利性平衡的稳定商业闭环,平台需要控制AI投入成本,逐步探索商业闭环,避免盲目扩张。

本文呈现的产业互联网最新动态,为产业研究提供了丰富的新素材,核心可研究的干货如下

1. 产业发展新动向:当前产业互联网发展呈现三大清晰脉络,分别是平台巨头加速下沉布局细分市场,细分行业从各自为战走向行业协同,产业龙头加速布局AI化,资本市场重点投向AI基础设施领域,AI已经开始重构多个细分行业的竞争格局,这些都是产业研究的新方向。

2. 行业发展新问题:当前行业发展面临两大待解决的挑战,一是AI的Token账单已经成为互联网企业新的成本压力,对盈利模式提出新要求,二是产业互联网的商业闭环仍然需要在规模化扩张和盈利性之间寻找平衡,尚未形成成熟稳定的模式,这都是值得深入研究的问题。

3. 政策与商业模式新启示:七部门出台的新政策明确了“平台+产业带”、龙头平台带动中小企业转型的方向,新的商业模式包括AI与传统产业合资重构产业链、行业平台孵化AI技术公司等,都值得深入研究。

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Quick Summary

This article is the latest weekly roundup of the industrial internet industry, compiling key recent developments in the sector to help readers quickly catch up on the latest industry changes. Key takeaways are as follows:

1. Moves by leading players: It covers the latest strategies of over a dozen major companies including JD Industrial, Zhenkunhang and Xinfangsheng. JD Industrial partnered with Delixi to develop a large language model (LLM) for low-voltage electrical applications in the industrial sector. Zhenkunhang hosted its first Industrial Goods Conference, established an AI subsidiary called Linglong Intelligence, and launched the industry’s first petabyte-scale (PB-level) data engine for industrial goods. Xinfangshen plans to expand into local state-owned enterprise (SOE) and overseas markets by 2026, while卓尔智联 is establishing a presence in Qianhai to tap into new growth areas in electronic components and AI-enabled supply chains.

2. Capital and policy updates: SiliconFlow has completed over RMB 2 billion in Series B funding, and Mifeng Technology has closed hundreds of millions of RMB in an Angel+ round. Seven central government departments have released a new plan to support the "platform + industrial belt" model and facilitate the digital transformation of small and medium-sized enterprises (SMEs).

3. Industry status: AI is accelerating its penetration into the industrial internet, but the sector faces challenges including rising AI costs and the need to balance scale and profitability to achieve a closed commercial loop.

This roundup of the latest industrial internet developments provides trend insights and business opportunities for brand owners. Key takeaways are as follows:

1. Industry development trends: AI-powered restructuring of the entire industrial value chain has become a certain direction, with AI integration already implemented across multiple tracks. For example, Huitongda and Wangpinyou have launched a joint venture to restructure the large-health beverage industry chain with AI, Focus Technology continues to iterate its AI-powered foreign trade products, and 01.AI has developed AI-enabled automated grading for the livestock breeding industry. Brand owners can pursue AI upgrades aligned with their core businesses.

2. Channel expansion opportunities: Government policy explicitly supports the "platform + industrial belt" model to help brands build differentiated, distinctive brand identities. Leading players including Xinfangsheng have made expanding into local SOE and overseas markets their core strategic priority for 2026, so brands can leverage platform resources to enter these emerging channels and secure large client orders.

3. Product R&D direction: JD Industrial has opened up its "Baichuan Program" large model ecosystem. Brand owners can partner with the platform to develop industry-specific large models and upgrade their products through new technologies. Delixi has already launched end-to-end collaboration with JD Industrial and achieved business growth.

This collection of the latest industry information provides policy references, opportunity alerts and risk reminders for sellers. Key takeaways are as follows:

1. Latest policy tailwinds: Seven government departments released the *Action Plan for Promoting Collaborative Development of Micro, Small, Medium and Large Enterprises in the Platform Economy (2026–2028)*, which explicitly supports the "platform + industrial belt" model, encourages leading enterprises to build industrial internet platforms to serve SMEs, and will establish a number of industry digital transformation promotion centers. Sellers can leverage policy and platform resources to gain transformation support and development opportunities.

2. Emerging growth opportunities: AI-enabled supply chains, electronic components, large health, industrial intelligence and cross-border trade are all in a growth phase, while local SOE and overseas markets are new expansion directions. Data shows that the purchase volume via JD Industrial’s AI-powered procurement manager has grown 56-fold, and Yunhan IC’s first-quarter revenue increased 79.46% year-on-year, confirming rising demand in these tracks.

3. Risk reminders: The industry currently faces two major challenges: AI computing power costs have become a new major cost pressure for enterprises, and the industrial internet has yet to balance scale and profitability to form a viable closed commercial loop. Sellers should control costs in advance and pursue new business expansion rationally.

This roundup of industry developments provides transformation insights and business opportunity references for manufacturers. Key takeaways are as follows:

1. Changes in production and product demand: AI has begun to restructure production and supply chain links, and factories can leverage AI technology to improve production efficiency. For example, Midea Cloud has launched an AI-powered solution to boost cross-border supply chain resilience, enabling coordinated operations across domestic and global supply chains, while 01.AI is rolling out automated grading for the livestock breeding industry. Factories can adopt suitable AI solutions to improve their competitiveness.

2. Accessible business opportunities: Policy supports leading platforms in driving the digital transformation of SMEs and the "platform + industrial belt" model for brand building. Factories can connect with platform resources to secure large contract projects: for example, Comix Group successfully won a multi-year MRO industrial goods long-term agreement with China Datang Corporation relying on platform-enabled business, driving strong business growth.

3. Insights for digital transformation: Leading players have already built digital and intelligent transformation as the foundation for expanding into new markets. After completing its digital transformation in 2025, Xinfangshen is able to expand into new markets with local SOEs and overseas clients in 2026. Factories that accelerate their digital layout can also participate in large model ecosystem collaborations to unlock more growth opportunities.

This roundup of industry developments helps service providers clarify industry trends, technology directions and client needs. Key takeaways are as follows:

1. Industry development trends: AI has become the core driving force for industrial internet transformation. The industrial goods sector has shifted from fragmented, independent operations to industry-wide collaboration, and industrial supply chains are evolving from transactional platforms to industrial infrastructure. Capital markets are also focusing heavily on AI infrastructure, creating significant market demand for service providers.

2. Core technology development directions: Key technology directions recognized by the industry include industry-specific large models, unified data foundations, industrial-grade big data engines, and AI-enabled supply chain solutions. The industry has already confirmed that a unified data foundation is the basis for practical AI deployment, and Zhenkunhang’s recent launch of the industry’s first PB-level data engine for industrial goods serves as a technical reference.

3. Client pain points and solution directions: The core pain points for clients today include urgent demand for digital and intelligent transformation, difficulties in coordinating cross-border supply chains, and high AI deployment costs. Service providers can develop targeted solutions, and policy supports the establishment of industry digital transformation promotion centers, allowing service providers to participate and gain policy backing. Midea Cloud’s AI-powered cross-border solution has already won public projects, proving the viability of this model.

This roundup of industry developments helps platform operators clarify market demand, benchmark leading players’ practices, and identify risks to avoid. Key takeaways are as follows:

1. Core market demand for platforms: Enterprises across the market generally need AI empowerment, supply chain coordination services, support for connecting to large orders, and digital transformation services. Policy also requires platforms to partner with local industrial belts and drive collaborative development for SMEs, so platforms can adjust their business strategies around these demands.

2. Strategic reference from leading platforms: A number of top platforms have clarified their new development strategies: Xinfangshen will deepen its industry presence and expand into local SOE and overseas markets in 2026;卓尔智联 is building a dual Qianhai-Hong Kong headquarters to enter new tracks in electronic components and AI-enabled supply chains; JD Industrial has launched its "Baichuan Program" large model ecosystem to partner with industry players to deploy large model applications. All these strategies can serve as references for new layout planning.

3. Industry risks to avoid: The sector currently faces two clear risks: first, AI token costs have become a major new cost pressure for platforms; second, the industrial internet has not yet established a stable, closed commercial loop that balances scale and profitability. Platforms should control AI investment costs, explore their commercial loop incrementally, and avoid blind expansion.

This collection of the latest industrial internet developments provides rich new materials for industry research. Key research-worthy insights are as follows:

1. New industry development trends: The industrial internet today is developing along three clear trajectories: platform giants are accelerating their expansion into niche segmented markets; fragmented industries are shifting from independent operations to cross-player collaboration; industrial leaders are accelerating AI integration; and capital markets are prioritizing investment in AI infrastructure. AI has already begun to restructure the competitive landscape of multiple segmented industries, all of which are new directions for industrial research.

2. New emerging industry challenges: The sector currently faces two major unresolved challenges: first, AI token costs have become a new major cost pressure for internet companies, creating new requirements for profitable business models; second, the industrial internet still needs to find a balance between scale expansion and profitability, and no mature, stable business model has been formed yet. Both are topics worthy of in-depth research.

3. New insights for policy and business model research: The new policy released by seven government departments has clarified the direction of "platform + industrial belt" development and leading platforms driving SME transformation. New business models such as AI and traditional industry joint ventures for industry chain restructuring, and industry platforms incubating AI technology companies, are also worthy of in-depth research.

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.

# 业界新事 #

1 京东工业携手德力西电气共建低压电气大模型

6月15日,京东工业发起的工业行业首个大模型生态“百川计划”发布会上,德力西电气和京东工业展示了双方的合作成果——从数据集构建、电气大模型训练到落地应用的全流程实践已经为业务创造了价值。同日,京东工业发布公告,斥资84.47万港元回购6.14万股,回购价格为每股13.62-13.80港元。

2 京东工品汇发布618战报

京东工品汇发布618战报AI智采管家直接采购额增长56倍;签约成都经开区,赋能区域制造业;亮相廊坊经洽会,展示数智供应链能力;与中国电建深化合作,聚焦数智供应链与出海服务

3 第一届工业用品大会在沪举办,震坤行发起并成立玲珑智能

6月15日,第一届工业用品大会(CISS 2026)在上海国家会展中心举行,以“创新驱动产业协同价值跃迁”为主题。工业和信息化部原部长李毅中、中国国家创新与发展战略研究会学术委员会常务副主席黄奇帆出席并作主旨报告。震坤行董事长兼CEO陈龙表示,AI正在重构工业用品行业竞争格局。震坤行宣布成立新的AI创业公司——玲珑智能,并发布行业首个工业用品PB级数据引擎“多米诺”。震坤行首席技术官刘阳出任玲珑智能CEO。

4 齐心集团中标中国大唐集团长协项目,6月15日盘中涨停

近日,齐心集团成功中标中国大唐集团有限公司2026年—2029年度办公用品和MRO工业品长协项目。6月15日,齐心集团盘中涨停,报8.1元。公司2025年年度营业收入119.65亿元,同比增长4.98%;归属于上市公司股东净利润8065.68万元,同比增长28.39%。公司累计上线超80个AI应用场景,MRO新业务拓展顺利。公司2026年限制性股票激励计划授予股份于6月16日上市。

5 汇通达携手王品柚成立合资公司,AI重构大健康饮品产业链

6月17日,汇通达与王品柚成立合资公司“南京趣买水”,全面负责柚满分及草堂有方两大品牌的新品全渠道运营,标志着双方从战略合作走向合资共建。截至6月15日收盘,汇通达网络报收于7.16港元,下跌1.24%。

6 鑫方盛2026年战略:深耕行业,拓展地方国企及海外市场

亿邦动力6月15日报道,鑫方盛2025年推进数智化转型,深化央企合作;2026年将深耕行业,拓展地方国企及海外战略市场,强化自有品牌、AI应用及中小企业服务。

7 卓尔智联布局前海,开拓电子元器件与AI供应链新赛道

6月19日报道,卓尔智联入驻前海深港汇双向总部基地,设立深港双总部,重点开拓电子元器件、AI供应链等新领域。企业负责人齐志平表示,新领域仍处于“0到0.5”探索阶段,但突破“卡脖子”问题与国内产业升级将是确定性趋势。卓尔智联已与国家电子元器件和集成电路国际交易中心对接,该平台去年交易额达1400亿元。

8 云汉芯城连续两日接待机构调研,一季度营收同比增长79.46%

6月15日至17日,云汉芯城(301563)连续两日进行路演活动,共接待18家机构调研,中金公司、山西证券、惠升基金等多家机构参与。公司表示平台业务仍是基本盘与规模底座。6月15日,云汉芯城涨7.72%,成交额9.07亿元,公司2026年一季度营收11.49亿元,同比增长79.46%。

9 药师帮将派发末期股息,海珠区举办“海珠合伙人”×药师帮生态伙伴交流会

药师帮(09885.HK)将于2026年6月24日派发末期股息每股0.11元。6月16日报道,海珠区举办“海珠合伙人”×药师帮生态伙伴交流会暨产业招商赋能会,全国超100名知名学者、大健康行业领军者参会。

10钢银电商:全国钢市库存环比减少0.89%

6月15日,钢银电商数据显示,截至6月15日全国钢市总库存量为976.97万吨,较上周环比减少8.79万吨(-0.89%)。

11美云智数推出AI跨境供应链韧性保障方案并中标上海海立电器项目

6月15日,美云智数推出AI跨境供应链韧性保障方案,以全局计划、KD履约闭环、AI合规风控打通国内海外双链协同。公示显示,美云智数中标上海海立电器APS软件及实施项目,投标报价575.48万元。

12百望股份CTO王志伟:统一数据底座仍是AI的基础

6月15日,百望股份CTO王志伟接受访谈,表示百望股份将战略升级为AI时代的企业商业信用基础设施运营商。百望股份与北京中关村学院及中关村人工智能研究院签署为期三年的产学研创新合作协议,聚焦数据要素价值应用、大模型智能体等方向。(发布网站:财经网、SL886财经网)

13零一万物定义“养殖业的自动驾驶”,划分L1至L5级别

6月15日报道,零一万物将传统人工养殖向高度自动化演进的过程定义为“养殖业的自动驾驶”,并划分为L1至L5级别。

14焦点科技AI矩阵亮相2026长三角跨境电商交易会

6月18日,焦点科技携旗下AI产品矩阵亮相长三角跨境电商交易会,副总裁卢颐发表《外贸进入AI实战深水区》主题演讲。6月16日,焦点科技在互动平台表示,公司正持续推进AI麦可及Sourcing AI的产品迭代与创新。

# 投融热点 #

1 硅基流动完成超20亿元B轮融资

硅基流动近日完成超20亿元B轮融资。本轮融资由携程战投、晶科能源控股、金蝶股份、联通新沃、联通资本旗下联创创新基金、盛奕资本(润泽集团产业资本)、壁仞战投、蔚来资本、商汤战投、巨人网络、国泰君安创新投、纪源资本、华熙睿登、华控基金、国开金融、北工投资、中关村科学城等产业资本、财务机构和国资联合投资。华兴资本担任独家财务顾问。

2 觅蜂科技完成数亿元天使+轮融资

一站式物理AI数据服务平台觅蜂科技完成新一轮数亿元天使+轮战略融资。本轮由国方创投领投,孚腾资本、上海电科基金、元启创新等跟投,老股东均普智能、鼎晖VGC持续超额追加投资。

# 宏观政策 #

1 七部门印发方案,支持“平台+产业带”模式

工业和信息化部等七部门近日印发《促进平台经济大中小企业协同发展行动方案(2026—2028年)》。《行动方案》提出,支持平台企业与地方政府合作,发挥各地电子商务产业集聚优势,通过“平台+产业带”模式扶持优质产品,打造更多特色品牌;支持龙头企业建设工业互联网平台,为上下游中小企业上平台用平台提供服务;健全制造业数智化转型服务体系,深化中小企业数字化赋能专项行动,建设一批深耕行业的制造业数字化转型促进中心。(发布网站:工业和信息化部)

# 本周金句 #

1 “面对AI时代的深刻变革,工业用品供应链正处于从‘交易平台’迈向‘产业基础设施’的关键一跃。”

——震坤行董事长兼CEO陈龙


2 “新领域仍处于‘0到0.5’探索阶段,但突破‘卡脖子’问题与国内产业升级将是确定性趋势。”

——卓尔智联负责人齐志平


3 “探索‘政府引导+平台赋能+企业主体’的工业供应链数智化合作新模式。”

——京东工业相关负责人


4 “统一数据底座仍是AI的基础。”

——百望股份CTO王志伟

# 本周述评 #

本周产业互联网的图景,呈现出产业落实战略发展的几个鲜明的脉络:平台巨头加速下沉。行业大会凝聚共识。震坤行发起的第一届工业用品大会,标志着工业用品领域从各自为战走向行业协同。产业龙头加速AI化。资本市场聚焦AI基础设施。然而,挑战同样清晰:AI的Token账单正在成为互联网公司的新成本压力;产业互联网的商业闭环仍需在规模化与盈利性之间寻找平衡。

文章来源:亿邦动力

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