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解锁新周期 2025产业互联网千峰奖揭晓

亿邦动力 2025-12-04 09:02
亿邦动力 2025/12/04 09:02

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2025产业互联网千峰奖评选结果正式揭晓,聚焦产业AI、产业出海和深度价值链三大核心领域,提供行业实操干货和代表企业案例。

1. 奖项评选流程:千峰奖由亿邦动力于2019年发起,通过专业中立评审(报名、初选、专家投票和终审讨论)选出优秀企业,连续七年颁布,确保权威性和公正性。

2. 行业关键趋势:2025年产业互联网从资本驱动的规模扩张转向价值驱动的深度创新,企业通过AI降本增效、开拓全球市场和深化价值链来重构供应链利润分配,实现可持续价值闭环。

3. 核心策略应用:握紧产业AI、产业出海和深度价值链三把钥匙,在真实场景中验证创新点,提升产业升级效率。

4. 代表企业参考:获奖名单包括产业AI 30强、产业出海30强和深度价值链60强企业,展示行业最佳实践,助力读者借鉴落地。

品牌商可关注产业互联网中的全球化机遇和技术革新,驱动品牌营销和产品研发策略优化。

1. 品牌营销启示:开拓全球市场揭示新消费趋势和用户行为观察,帮助品牌扩展国际渠道和适应海外需求变化。

2. 产品研发方向:AI降本增效技术可应用于智能产品创新,提升研发效率和品牌竞争力。

3. 品牌定价影响:深度价值链重构供应链利润分配,可能挑战传统定价模型,推动品牌在价格竞争中优化策略。

4. 消费趋势洞察:价值驱动转向反映消费者对高效和可持续体验的偏好增强,品牌可通过获奖企业案例(如产业出海30强)学习出海模式。

5. 用户行为观察:产业出海和AI应用可能改变消费习惯,品牌需监测这些变化以调整市场策略。

卖家能从千峰奖分析中获得政策解读缺失下的市场机会和风险提示,聚焦增长市场和价值创新策略。

1. 增长市场方向:产业出海赛道强调开拓全球市场,为卖家提供新销路和需求变化洞察(如海外消费者偏好)。

2. 消费需求机会:转向价值驱动揭示消费者对效率提升的渴求,卖家可学习AI降本增效模式优化服务。

3. 事件应对措施:资本退潮提示风险在盲目扩张,卖家应转向深度价值链合作以规避供应链断裂风险。

4. 机会提示与可学习点:获奖企业在产业AI、产业出海和深度价值链三方面展示最新商业模式(如利润重构),卖家可借鉴其实操案例。

5. 风险提示:行业价值淬炼期强调避免规模泡沫,卖家需专注可持续价值闭环形成,利用三把钥匙策略应对不确定性。

工厂可获取产品生产和商业机会启示,推进数字化和电商转型,基于行业趋势优化生产策略。

1. 产品生产需求:AI降本增效技术直接应用于智能制造流程,改进生产效率和设计精确度(如降低浪费)。

2. 商业机会发掘:参与全球市场开拓和深度价值链合作(如供应链优化)打开新订单来源,利用产业出海30强企业案例参考合作模式。

3. 推进数字化启示:数智技术(如产业AI)为工厂提供电商升级工具,提升运营智能化水平。

4. 设计需求优化:价值驱动转向强调高效生产,工厂可学习获奖企业在价值链重构中的实际应用案例(如成本控制)。

5. 电商推进启示:千峰奖展示行业从资本到价值焦点,工厂应投资AI和全球化技术以应对竞争压力。

服务商需关注行业发展趋势和新技术解决方案,解决客户在价值闭环构建中的痛点。

1. 行业发展趋势:2025年产业互联网转向价值淬炼,驱动技术需求激增(如AI、全球化和深度优化)。

2. 新技术方向:数智技术(产业AI)作为核心创新点,服务商可开发AI工具支持客户降本增效挑战。

3. 客户痛点洞察:企业面临价值闭环缺失问题,需定制化方案用于全球市场开拓和供应链利润重构。

4. 解决方案设计:基于产业AI、产业出海和深度价值链三把钥匙,服务商可提供一体化服务(如数据支持),参考获奖企业实践案例。

5. 行业趋势应用:全球化浪潮推动服务升级,服务商应聚焦数智技术落地,助力客户实现可持续增长。

平台商应分析商业需求和平台最新做法,优化招商和运营管理以应对行业转变。

1. 商业需求分析:企业对平台支持在全球化(产业出海)和AI实施需求增长,平台需强化服务功能以满足价值驱动转变。

2. 平台最新做法:千峰奖评审展示平台(如亿邦)在招商引领和行业标准制定中的作用,平台可借势组织类似活动吸引伙伴。

3. 平台招商机会:奖项揭晓名单(如产业AI 30强)可作为招商参考,平台招募优秀企业提升生态活力。

4. 运营管理优化:价值淬炼期提示平台规避风险(如资本泡沫),需制定高效规则支持深度价值链合作。

5. 风险规避策略:转向价值闭环强调平台强化监管和运营透明度,平台商可学习三大赛道模式规避市场波动风险。

研究者需聚焦产业新动向和新问题,分析政策法规启示和创新商业模式案例。

1. 产业新动向:2025年行业从资本驱动转向价值驱动的深度创新,是重大转变趋势点。

2. 新问题探索:如何实现可持续价值闭环(通过AI、出海和深度价值链)成为核心研究焦点,涉及供应链利润分配难题。

3. 政策法规启示:价值淬炼期可能需新规支持全球化数据流动或AI应用伦理,研究者可提出政策建议以促进产业标准。

4. 商业模式分析:深度价值链重构为创新模型提供案例(如获奖企业模式),研究者可解剖其利润分配机制和可持续性验证。

5. 产业动向参考:千峰奖细分的三大赛道(产业AI、产业出海、深度价值链)代表行业实践,为研究提供真实数据点和趋势验证基础。

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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

The 2025 Industrial Internet Qianfeng Award winners have been officially announced, spotlighting three core areas: Industrial AI, Industrial Globalization, and Deep Value Chain. The results provide practical industry insights and representative case studies.

1. Award Selection Process: Launched by EBrun in 2019, the Qianfeng Award selects outstanding enterprises through a professional, neutral process involving application, preliminary screening, expert voting, and final deliberation. Now in its seventh year, the award maintains authority and impartiality.

2. Key Industry Trends: In 2025, the industrial internet is shifting from capital-driven scale expansion to value-driven deep innovation. Companies are leveraging AI for cost reduction and efficiency, expanding into global markets, and deepening value chain integration to reconfigure supply chain profit distribution and achieve a sustainable value loop.

3. Core Strategic Applications: Mastering the three keys—Industrial AI, Industrial Globalization, and Deep Value Chain—and validating innovations in real-world scenarios are crucial for enhancing industrial upgrade efficiency.

4. Representative Companies: The winners list includes top 30 companies in Industrial AI, top 30 in Industrial Globalization, and top 60 in Deep Value Chain, showcasing industry best practices for readers to learn from and implement.

Brands should focus on the globalization opportunities and technological innovations within the industrial internet to optimize marketing and product R&D strategies.

1. Marketing Implications: Global market expansion reveals new consumer trends and user behaviors, helping brands extend international channels and adapt to overseas demand shifts.

2. Product R&D Direction: AI-driven cost reduction and efficiency technologies can be applied to smart product innovation, enhancing R&D efficiency and brand competitiveness.

3. Pricing Impact: The restructuring of profit distribution within deep value chains may challenge traditional pricing models, pushing brands to optimize strategies in price competition.

4. Consumer Trend Insights: The shift towards value-driven models reflects growing consumer preference for efficient and sustainable experiences. Brands can learn globalization models from award-winning cases (e.g., the Top 30 in Industrial Globalization).

5. User Behavior Observation: Industrial globalization and AI applications may alter consumption habits, requiring brands to monitor these changes to adjust market strategies.

Sellers can identify market opportunities and risk warnings from the Qianfeng Award analysis, focusing on growth markets and value innovation strategies.

1. Growth Market Direction: The industrial globalization track emphasizes global market expansion, offering sellers new sales avenues and insights into demand changes (e.g., overseas consumer preferences).

2. Consumer Demand Opportunities: The shift to value-driven models reveals consumer demand for greater efficiency. Sellers can learn from AI cost-reduction models to optimize their services.

3. Risk Mitigation Measures: The capital pullback warns against blind expansion. Sellers should pivot towards deep value chain collaboration to mitigate supply chain disruption risks.

4. Opportunities & Learnings: Award-winning companies demonstrate the latest business models (e.g., profit restructuring) in Industrial AI, Industrial Globalization, and Deep Value Chain, providing practical case studies for sellers to emulate.

5. Risk Warning: The industry's value refinement phase emphasizes avoiding scale bubbles. Sellers must focus on building sustainable value loops and utilize the three-key strategy to navigate uncertainty.

Factories can gain insights for product production and business opportunities, advancing digital and e-commerce transformation based on industry trends.

1. Production Needs: AI cost-reduction and efficiency technologies can be directly applied to smart manufacturing processes, improving production efficiency and design accuracy (e.g., reducing waste).

2. Business Opportunity Exploration: Participating in global market expansion and deep value chain collaboration (e.g., supply chain optimization) opens new order sources. Factories can reference collaboration models from award-winning companies (e.g., Top 30 in Industrial Globalization).

3. Digital Transformation Insights: Digital-intelligent technologies (like Industrial AI) provide tools for e-commerce upgrades, enhancing operational intelligence.

4. Design Optimization: The value-driven shift emphasizes efficient production. Factories can learn from award-winners' practical applications in value chain restructuring (e.g., cost control).

5. E-commerce Advancement: The Qianfeng Award highlights the industry's focus shift from capital to value. Factories should invest in AI and globalization technologies to remain competitive.

Service providers need to monitor industry trends and new technology solutions to address client pain points in building value loops.

1. Industry Trend: The 2025 industrial internet's shift towards value refinement is driving a surge in demand for technologies like AI, globalization, and deep optimization.

2. New Technology Direction: Digital-intelligent tech (Industrial AI) is a core innovation area. Service providers can develop AI tools to help clients tackle cost and efficiency challenges.

3. Client Pain Points: Companies face issues with incomplete value loops, requiring customized solutions for global market expansion and supply chain profit restructuring.

4. Solution Design: Based on the three keys—Industrial AI, Industrial Globalization, and Deep Value Chain—providers can offer integrated services (e.g., data support), referencing award-winning practices.

5. Trend Application: The globalization wave is pushing service upgrades. Providers should focus on implementing digital-intelligent technologies to help clients achieve sustainable growth.

Platform operators should analyze commercial needs and latest platform practices to optimize merchant recruitment and operations management amid industry changes.

1. Commercial Demand Analysis: Enterprise demand for platform support in globalization (Industrial Globalization) and AI implementation is growing. Platforms must enhance service functions to meet the value-driven shift.

2. Latest Platform Practices: The Qianfeng Award process demonstrates platforms' (like EBrun) role in leading merchant recruitment and setting industry standards. Platforms can leverage similar events to attract partners.

3. Merchant Recruitment Opportunity: The awards list (e.g., Top 30 in Industrial AI) serves as a recruitment reference, helping platforms onboard excellent enterprises to boost ecosystem vitality.

4. Operations Optimization: The value refinement phase warns platforms to avoid risks (e.g., capital bubbles) and establish efficient rules to support deep value chain collaboration.

5. Risk Mitigation Strategy: The emphasis on value loops requires platforms to strengthen supervision and operational transparency. Operators can learn from the three key tracks to mitigate market volatility risks.

Researchers should focus on new industry developments and questions, analyzing policy implications and innovative business model cases.

1. New Industry Developments: The 2025 shift from capital-driven to value-driven deep innovation represents a significant trend.

2. New Problem Exploration: How to achieve a sustainable value loop (via AI, globalization, and deep value chain) has become a core research focus, involving supply chain profit distribution challenges.

3. Policy Implications: The value refinement phase may require new regulations to support global data flow or AI ethics. Researchers can propose policy recommendations to promote industry standards.

4. Business Model Analysis: Deep value chain restructuring provides case studies for innovative models (e.g., award-winners' models). Researchers can dissect their profit distribution mechanisms and sustainability validation.

5. Industry Reference: The three key tracks detailed by the Qianfeng Award (Industrial AI, Industrial Globalization, Deep Value Chain) represent industry practices, providing real-world data points and a basis for trend validation.

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】12月3日晚,在2025亿邦产业互联网年会“千峰之夜”上,在一百余位产业互联网企业决策人、投资人及业界人士的共同见证下,“2025产业互联网千峰奖”(下称“千峰奖”)评选结果正式揭晓。

专业、中立、公正,千峰奖作为产业互联网年度大奖,由亿邦动力于2019发起,连续七年颁布。奖项仅对完整提交资料的申报企业开放,历经3个多月的申报评审周期,通过报名、初选、七位专业评委投票,终审讨论会,遴选出获奖企业。

2025年,是产业互联网价值淬炼的一年。行业正从资本驱动的规模扩张,转向价值驱动的深度创新。随着资本热潮退去,“价值闭环”成为生存与发展的核心标尺,企业不再单纯追求流量与规模,而是通过AI降本增效、开拓全球市场、深度价值链,重构产供链利润分配。

数智技术与全球化浪潮持续为产业升级提供“长坡厚雪”,唯有握紧“产业AI” “产业出海” “深度价值链”的三把钥匙,才能在真实场景中形成可验证、可持续的价值闭环,穿越周期,让产业互联网不止于连接,而真正成为赋能实体、重塑生态的根基力量。

本届千峰奖主题为“解锁新周期”,细分为产业AI、产业出海、深度价值链三大赛道,从专业评视角遴选出了2025年度优秀产业互联网企业。

产业AI 30强

产业出海30强

深度价值链60强

文章来源:亿邦动力

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