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亿邦智库第七次发布《产业互联网发展报告》

亿邦智库 2025-12-04 09:01
亿邦智库 2025/12/04 09:01

邦小白快读

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产业互联网进入新周期,解锁点为产业AI、深度价值链和产业出海,企业从高速增长转向质量化发展,推动效率提升与盈利改善。

1.数据显示:千峰奖申报中数字供应链企业占半壁江山,产业数智科技企业占比上升;超半数企业营收增长放缓但净现金流增速高于利润增速,九家公司利润上扬,表明行业进入规模化阶段。

2.实操干货:产业AI应用转向务实主义,例如齐心集团落地近70个业务场景的AI模型;深度价值链打通产供销数据孤岛,如国联股份构建交易驱动服务闭环;产业出海模式如乐其创新SmallRig通过敏捷供应链满足全球需求。

3.企业案例:1688的“诚信通AI版”降低中小商家决策成本,震坤行的“行家玲珑”模型优化采购链,提供可复用的实用策略。

报告突出品牌化转型趋势,AI和出海策略为产品研发与品牌营销注入新动力,消费趋势向全球化与个性化演进。

1.品牌营销:数智品牌企业占比大幅跃升至15.6%,平台化品牌成为新方向,如得力集实AI赋能强化“产品+服务+体验”综合价值输出,助力品牌溢价。

2.产品研发与消费趋势:产业AI应用如乐其创新SmallRig实现“小批量、多批次”敏捷供应链,捕捉全球用户多层次需求;用户行为观察显示出海模式整合数据智能,构建弹性价值网络,迎合新兴市场偏好。

3.机会点:案例如云中鹤的S2B2C平台重塑价值链,结合AI提升品牌韧性;深度价值链向上突破品牌标准,如震坤行创新自有品牌品质化,优化研发效率。

政策红利与市场机遇并存,新周期聚焦AI、价值链和出海,卖家可应对增速放缓风险并抓住合作增长点。

1.政策解读与风险提示:政策从“上云”深化至“AI+”,加速数据资产化;数据显示营收增速普遍放缓但盈利改善,如超半数企业增长中净现金流增速更高,警示需优化现金流管理。

2.增长市场与机会:产业出海如国联股份的“以仓带链”模式提供本地化响应机遇;消费需求变化下,AI在采购场景成熟应用(如欧菲斯AGI+智能体提升交易效率),74%企业重构价值链释放合作空间。

3.应对措施与扶持政策:国资基金参与比例近六成,推动产业协同,如平台提供的AI红利降低决策成本;案例如三横科技“1+6+x”平台解决采购痛点,为卖家提供可学习模式。

报告强调产品生产数字化和商业机会,AI与价值链引领工厂高效化转型,助力提升设计和响应能力。

1.产品生产和设计需求:深度价值链打通“产、供、销”数据孤岛,实现以需定产,如京东工业大模型在钢铁冶金场景落地,推动“降本万亿”;案例云工厂模式(如国联股份)优化生产链设计。

2.商业机会与启示:产业AI务实应用如1688赋能中小企业融入数字生态,提供订单驱动生产契机;出海策略如乐其创新SmallRig敏捷供应链模式,提示工厂聚焦“快制造”响应全球需求。

3.推进数字化:垂直平台成为AI着陆点,如震坤行构建智能体矩阵,降低生产协同成本;政策加速数据集建设,为工厂提供数智化实操路径。

行业趋势指向AI技术和解决方案爆发,客户痛点如数据孤岛和效率瓶颈,可通过平台智能化解码。

1.行业发展趋势与新技术:产业AI从效率工具升级价值引擎,例如百望股份产业Agent矩阵服务多行业;趋势显示“大模型导航、小模型执行”范式成主流,深化场景效用如采购领域AI成熟渗透。

2.客户痛点与解决方案:供应链数据孤岛是核心痛点,深度价值链模型(如国联股份打通产供销)提供整合方案;中小企业决策成本高,1688“诚信通AI版”等工具降低运营成本。

3.创新机会:产业Agent战略如平台业态升级至“数字化新入口”;案例中铝物资平台解决风险防范痛点,构建高效服务生态。

平台需求聚焦整合AI和风险管理,新做法如招商策略和运营优化,引领生态协作升级。

1.平台需求与招商:数字供应链平台成主赛道,数据驱动对AI整合需求增长(如震坤行AI智能体);国资基金参与近六成,强调招商时注重产业协同,案例如云中鹤S2B2C平台赋能品牌商。

2.平台最新做法与运营管理:产业AI应用如齐心集团模型落地多场景提升交易效率;运营上通过价值链重构实现“大范围生态协作”,如国联股份交易驱动数据闭环优化管理。

3.风向规避:风险如增速放缓需强化质量管控;案例如三横科技聚焦央国企痛点构建智能架构,规避风险同时提升招商吸引力。

产业新动向揭示新周期质变,新问题如价值落地挑战,政策启示和商业模式框架提供学术洞见。

1.产业新动向与新问题:新周期从资本驱动转向价值创造,质变方向产业AI、深度价值链、产业出海;数据显示数智品牌占比跃升,引发价值链重构下的盈利不均问题。

2.政策法规建议:政策深化至“AI+”,提示需强化高质量数据集建设;国资基金逻辑强调区域经济整合,为法规优化提供启示。

3.商业模式与趋势:深度价值链三维结构(纵向一体化、横向一体化、向上突破)升级线性链至网状生态;案例如乐其创新全球品牌模式,展现动态韧性网络,作为商业研究范式。

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Quick Summary

Industrial internet is entering a new phase, with key growth drivers being industrial AI, deep value chains, and global expansion. Companies are shifting from rapid growth to quality-focused development, prioritizing efficiency gains and profitability improvements.

1. Data shows that digital supply chain companies account for half of the applicants for the Qianfeng Award, while the proportion of industrial digital intelligence technology firms is rising. Over half of the companies experienced slower revenue growth, but net cash flow growth outpaced profit growth. Nine companies saw profit increases, indicating the industry is reaching a scale-driven stage.

2. Practical insights: Industrial AI applications are becoming more pragmatic, exemplified by Qixin Group implementing nearly 70 AI models across business scenarios. Deep value chains are breaking down data silos in production, supply, and sales, as seen in Guolian Securities creating a transaction-driven service loop. Global expansion models, like Leqi Innovation's SmallRig, use agile supply chains to meet worldwide demand.

3. Case studies: 1688's "TrustPass AI Edition" reduces decision-making costs for SMEs, while Zhenkunhang's "Expert Linglong" model optimizes procurement chains, offering replicable practical strategies.

The report highlights a trend towards brand transformation, with AI and global strategies injecting new momentum into product development and marketing. Consumer trends are evolving towards globalization and personalization.

1. Brand marketing: The share of digital-intelligent brand enterprises surged to 15.6%, with platform-based branding emerging as a new direction. For instance, Deli Group uses AI to enhance the integrated value output of "product + service + experience," boosting brand premium.

2. Product development & consumer trends: Industrial AI applications, like Leqi Innovation's SmallRig, enable agile "small-batch, multi-frequency" supply chains to capture diverse global user needs. User behavior analysis shows that overseas models integrate data intelligence to build resilient value networks, catering to emerging market preferences.

3. Opportunities: Cases like Yunzhonghe's S2B2C platform reshape value chains and use AI to enhance brand resilience. Deep value chains drive upward breakthroughs in brand standards, as seen in Zhenkunhang innovating its private label quality and optimizing R&D efficiency.

Sellers face both policy dividends and market opportunities. The new cycle focuses on AI, value chains, and global expansion, helping sellers mitigate slowing growth risks and seize collaborative growth points.

1. Policy interpretation & risk alerts: Policies are deepening from "cloud adoption" to "AI+", accelerating data assetization. Data shows widespread revenue growth deceleration but profit improvement, with over half of firms seeing higher net cash flow growth—a warning to optimize cash flow management.

2. Growth markets & opportunities: Industrial globalization, like Guolian Securities' "warehouse-led chain" model, offers localized response opportunities. Amid changing consumer demand, AI's mature application in procurement (e.g., Ofis AGI+ agents boosting transaction efficiency) and 74% of firms restructuring value chains create collaboration space.

3. Countermeasures & support: State-owned funds participate in nearly 60% of initiatives, promoting industrial synergy. Platform AI benefits lower decision costs; cases like Sanheng Tech's "1+6+x" platform address procurement pain points, providing learnable models for sellers.

The report emphasizes digital production and commercial opportunities, with AI and value chains leading factories toward efficient transformation, enhancing design and response capabilities.

1. Production & design needs: Deep value chains break data silos in "production, supply, sales" to enable demand-driven production. JD Industrial's large model in steel/metallurgy scenarios aims to "reduce costs by trillions"; cloud factory models (e.g., Guolian Securities) optimize production chain design.

2. Commercial opportunities & insights: Pragmatic industrial AI applications, like 1688 empowering SMEs to join digital ecosystems, offer order-driven production chances. Global strategies like Leqi Innovation's SmallRig agile supply chain model highlight the need for factories to focus on "fast manufacturing" to meet global demand.

3. Digital advancement: Vertical platforms serve as AI landing points, e.g., Zhenkunhang building intelligent agent matrices to lower production coordination costs. Policies accelerating data set construction provide practical digital transformation paths for factories.

Industry trends point to an explosion in AI technologies and solutions. Client pain points like data silos and efficiency bottlenecks can be decoded through platform intelligence.

1. Industry trends & new tech: Industrial AI is evolving from an efficiency tool to a value engine, e.g., Baiwang's industry agent matrices serving multiple sectors. The "large model navigation, small model execution" paradigm is becoming mainstream, deepening utility in areas like procurement where AI penetration is mature.

2. Client pain points & solutions: Supply chain data silos are a core issue; deep value chain models (e.g., Guolian Securities integrating production-supply-sales) offer integrated solutions. High decision costs for SMEs are addressed by tools like 1688's "TrustPass AI Edition" to reduce operational expenses.

3. Innovation opportunities: Industrial agent strategies upgrade platform models to "new digital entry points"; cases like China Aluminum Materials Platform tackle risk prevention pain points, building efficient service ecosystems.

Platform needs focus on integrating AI and risk management. New practices like merchant acquisition strategies and operational optimization are leading ecosystem collaboration upgrades.

1. Platform demands & merchant acquisition: Digital supply chain platforms are a main battleground, with data-driven demand for AI integration (e.g., Zhenkunhang's AI agents). Nearly 60% state fund participation emphasizes industrial synergy in merchant acquisition, as seen in Yunzhonghe's S2B2C platform empowering brands.

2. Latest practices & operations: Industrial AI applications, like Qixin Group's multi-scenario models, boost transaction efficiency. Operationally, value chain restructuring enables "large-scale ecosystem collaboration," e.g., Guolian Securities' transaction-driven data loops optimizing management.

3. Risk mitigation: Risks like growth slowdown require strengthened quality control; cases like Sanheng Tech addressing central/state-owned enterprise pain points with smart architectures enhance appeal while mitigating risks.

New industrial movements reveal qualitative changes in the new cycle. Emerging challenges like value implementation hurdles offer academic insights through policy implications and business model frameworks.

1. New movements & problems: The new cycle shifts from capital-driven to value creation, with qualitative changes in industrial AI, deep value chains, and global expansion. Data shows a leap in digital-intelligent brand share, raising issues of profit disparity under value chain restructuring.

2. Policy recommendations: Policies deepening into "AI+" highlight the need for high-quality data set development. State fund logic emphasizes regional economic integration, offering lessons for regulatory optimization.

3. Business models & trends: The three-dimensional structure of deep value chains (vertical/horizontal integration, upward breakthrough) upgrades linear chains to network ecosystems. Cases like Leqi Innovation's global brand model demonstrate dynamic resilient networks as a business research paradigm.

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.

文丨亿邦智库

【亿邦原创】2025年,这是亿邦智库体系化输出产业互联网年度研究的第七年。

这份以“解锁新周期”为主题的年度报告,源于亿邦智库的最新研判:产业互联网的基本面从未改变,但已进入全新发展周期——从资本闭环效应显著的初创期迈入以大范围价值创造为主线的成长期。其中,产业AI、产业出海与深度价值链成为解锁新周期的关键钥匙,同时也是新模式新业态的三大质变方向。

以下为报告节选,报告全文可点击链接下载

01

产业互联网迎战新周期

新周期的到来,标志着行业从资本闭环效应驱动的供应链数字化实践转向追求真实、可持续的大范围价值落地,数智技术变革和全球化变革带来的产供链变革成为推动这一转变的关键力量,行业实践将从产业AI、深度价值链、产业出海三个方向,催生高效率高盈利,组织大范围生态协作的数字供应链平台、产业数智科技、平台化品牌。

报告显示,新周期产业互联网的主赛道仍然由数字供应链与产业数智科技企业主导。在2025年度千峰奖申报企业中,数字供应链企业占比近半,产业数智科技企业紧随其后,而数智品牌企业的占比从去年的5.8%大幅跃升至15.6%,反映出产业互联网正借助数智科技向品牌化、平台化迈进。

在2025年上半年,近八成企业保持增长,但营收增速普遍放缓,企业规模分布呈现显著梯次特征,表明行业正步入规模化、质量化发展的新阶段。上市公司表现尤为明显,超过半数企业营收增长,九家公司利润上扬,盈利企业数>营收增长企业数,意味着“净现金流增速>利润增速>营收增速”成为新周期参考。

资本层面亦呈现出结构性变化。国资基金正成为产业互联网重要的资本伙伴,在近一年融资事件中参与比例接近六成,其投资逻辑更强调产业协同与区域经济贡献,推动产业互联网与地方产业集群深度融合。政策层面也正从“上云”向“AI+”深化,高质量数据集建设与数据资产化进程加速,为产业互联网带来新的价值释放空间。

在求变生存中,产业互联网企业的思考和实践不断深化,企业战略共识集中在AI创新、价值链重构与产业出海三大方向:超半数企业已投入AI创新,74%的企业致力于通过数字化平台重构价值链,22%的企业将产业出海视为重要增长路径。

02

产业AI:从效率工具到价值引擎

2025年,产业AI的发展呈现出鲜明的“务实主义”转向。技术落地从追逐参数规模的模型竞赛,进入深耕场景效用、追求投入产出比的新阶段。“大模型导航、小模型执行”的协同范式成为主流,AI不再仅是点缀财报的“热词”,而是深度融入运营、供应链与决策的核心业务流程,真正从效率工具升级为驱动价值创造的新引擎。

得益于场景、数据与市场链接优势,垂直产业平台成为AI技术落地供应链的最优着陆点。例如,震坤行自主研发“行家玲珑”工业用品大模型,打造覆盖采购全链路的智能体矩阵;国联股份则依托全链条工业数据,构建“数据治理-模型开发-场景落地”的工业智能化闭环;云中鹤以企业级Agent矩阵打通S2B2C全链路实现供应链AI效益。这些实践表明,平台正将产业认知转化为可规模化复用的AI能力。

在平台细分场景应用上,采购场景已成为AI渗透最成熟的领域。齐心集团推出的“齐心智磐AI大模型”已落地近70个业务场景;欧菲斯构建AGI+智能体架构,把AI Agent的认知智能、自主学习和场景泛化能力应用于政企采购全流程;得力集实通过AI赋能体系强化“产品+服务+体验”的综合价值输出;三横科技则聚焦央国企采购痛点推出“1+6+x”智能平台架构。这些案例共同印证了AI在提升产业链供需匹配与交易效率上的直接价值。

与垂直产业平台提供智能底座相呼应的是,产业链中小企业正借力平台释放的AI红利实现能力与价值跃迁。以1688为例,通过AI to B全矩阵引领B2B产业智能化变革,其推出的“诚信通AI版”等产品,显著降低了中小商家的决策与运营成本,赋能其借助平台AI能力快速融入数字化生态。

展望未来,产业Agent正成为平台业态升级的战略机遇。它通过深度融合产业知识(Know-How)与AI能力,推动平台从“工具提供者”转变“产业数字化新入口”。例如,百望股份以数据智能为核心,打造了覆盖合同、发票、风控等流程的智能体矩阵,深度服务二十余个行业,在提升运营效率的同时,更将数据价值转化为切实的业务增长。

03

深度价值链:纵横一体化与价值增厚

深度价值链是开启新周期的第二把关键钥匙,产业层面的探索实践已经多点开花:通过纵向一体化,打通“产、供、销”数据孤岛,实现以需定产、敏捷响应;通过横向一体化,整合技术、金融、园区等供应链配套资源,构建稳定、高效的服务生态;通过突破标准、研发、品牌及数据资产,向上重构价值,做厚利润空间。这个三维结构推动产业链从“成本竞争”的线性链条,升级为“价值共生”的网状生态,是释放产业互联网大范围价值创造潜力的核心实践框架。

如国联股份,以产业电商为入口,通过交易行为驱动数字技术在供应链各环节融合应用,延伸出智慧物流、数字云仓、云工厂等创新曲线,最终构建起“交易驱动服务、服务沉淀数据、数据反哺产业”价值链闭环。同样,云中鹤的S2B2C智能价值平台,通过AI驱动打通从集团采购(S2B)到员工福利与营销(S2B2C)的全流程,重塑采购与运营价值链。而中铝物资的“绿星链通”平台,则通过构建“干净、简捷、廉洁、低成本”供应链体系,成为中铝集团资源统筹、成本管控与风险防范的关键基础设施。

在向上突破与价值增厚维度,震坤行以数字化与智能化手段构建了集产品供应、数智平台和履约服务于一体的数字化服务体系,在工业用品大数据建设、自有品牌品质化建设、工业智能体矩阵建设等多个维度进行创新突破。京东工业则依托其“工业大模型+供应链应用”的双轮驱动模式,深入钢铁冶金、汽车制造等具体行业场景,切实推动大模型能力在大量细分场景中落地,助力中国工业实现“降本万亿”。

04

产业出海:接住供应链全球化红利

当前,地缘政治变迁与效率安全再平衡,正驱动全球供应链格局发生系统性重构。中国供应链凭借完备的产业基础、强大的数字化能力及日益成熟的“体系化出海”生态,展现出引领区域供应链网络重构的独特优势,并进化出多种出海新模式。

以海外仓为载体的“以仓带链”模式,把海外仓作为物理与数据中台,升级传统物流节点为集展示、销售、配送、售后于一体的供应链核心枢纽与综合性海外支点。如国联股份构建了“跨境电商平台+海外仓物流+本地化服务”三位一体的出海支撑体系,实现国内外产能的数字化协同,确保供应链的本地化响应与全球效率。

以产业互联网研发模式驱动的全球化品牌模式,则通过数据智能、用户共创和平台生态在全球范围内构建起动态的、有韧性的、难以被竞争对手快速模仿的价值网络。以乐其创新SmallRig为例,打造了全球化生态型产业创新平台,以前端影像场景拉动生态共创、以“快制造”模式优化供应链响应能力,以“小批量、多批次、多品类、高频次、半定制”的敏捷供应链,满足全球用户及时和多层次需求。

12月3日,亿邦产业互联网年会现场,亿邦董事长暨亿邦智库院长郑敏正式发布《2025年产业互联网发展报告》,深度解读产业互联网新周期的核心逻辑与发展脉络,探寻解锁新周期的创新模式与标杆示范。

值得关注的是,大会现场首次推出《2025新周期领航案例集》,国联股份、震坤行、端点科技、齐心集团、欧菲斯、鑫方盛、捷配、兰格集团、云汉芯城、三横科技、星苹台集团、陕建物流等12家企业凭借突出的实践成果,成为首批入选案例。

报告全文及更多精彩内容,点击链接查看下载。

文章来源:亿邦动力

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