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我国投用超70个具身AI训练场 46个待落地

亿邦AI 2026-08-25 10:25
亿邦AI 2026/08/25 10:25

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本文梳理了我国具身AI训练场的最新建设进展,核心干货信息整理如下

1. 建设进度:根据中国信息通信研究院2026年报告,截至2026年6月底,全国已建成投用的具身AI训练场超过70个,另有46个场地处于在建或规划待落地阶段,整体布局覆盖超过半数省级行政区,产业基础设施推进速度较快。

2. 概念与价值:公开标准定义显示,具身AI是多学科交叉的前沿技术,核心是AI软硬件深度融合,形成感知认知决策执行的完整闭环,解决了传统纯软件AI无法落地物理场景的痛点,是连接数字智能与现实世界的关键路径。

3. 产业现状:训练场主要提供实体环境支撑数据采集、模型训练等工作,目前86%的训练场以工业制造为应用方向,长三角等三大区域已形成核心产业集群。

本文披露了我国具身AI产业基础设施的最新布局情况,能给品牌商布局相关赛道提供参考,核心内容如下

1. 产业发展现状:当前国内具身AI产业已经进入快速发展阶段,基础设施逐步完善,截至2026年6月已投用超70个训练场,还有46个待落地,覆盖过半省级行政区,三大核心区域已经形成产业集群,产业落地基础已经具备。

2. 技术价值与趋势:具身AI解决了传统AI无法落地实体场景的痛点,是未来AI与实体经济融合的核心方向,消费端和产业端对相关智能产品的需求会逐步增长,品牌商可提前布局相关赛道抢占先机。

3. 应用方向参考:目前工业制造是最核心的应用场景,86%的训练场都覆盖该领域,布局工业智能相关产品的品牌可优先对接集群区域的产业资源。

本文披露了具身AI产业的最新发展动态,能给瞄准智能赛道的卖家梳理机会方向,核心内容整理如下

1. 赛道增长机会:当前国内具身AI基础设施建设推进速度快,已经建成超70个专业训练场,还有46个待落地,产业生态逐步成熟,相关智能硬件、工业智能产品赛道会迎来增长风口,卖家可提前布局抢占市场。

2. 需求方向提示:目前86%的训练场都服务工业制造方向,说明工业领域的智能升级需求非常明确,做To B业务的卖家可以针对性挖掘工业场景的相关需求,开拓新的业务增长曲线。

3. 资源对接提示:当前长三角、京津冀、珠三角已经形成具身AI的核心产业集群,卖家可以就近对接产业资源,降低技术对接、产品研发的成本,提升自身竞争力。

本文披露的具身AI产业布局信息,能给工厂推进数字化智能化升级提供参考,核心干货如下

1. 技术升级方向参考:具身AI是连接数字智能和实体生产场景的核心技术,解决了传统纯软件AI无法适配实体生产的痛点,能够帮助工厂实现生产全流程的智能化闭环,是未来工厂数字化升级的重要方向。

2. 可利用的产业资源:当前国内已经建成超70个专业的具身AI训练场,这类场地可以支撑工厂做真实数据采集、智能模型训练、机器人系统测试等工作,工厂依托公共训练场可以降低自身技术研发测试的成本,加快升级进度。

3. 产业布局提示:目前工业制造是具身AI训练场最核心的应用方向,三大沿海经济圈已经形成产业集群,有升级需求的工厂可优先对接这些区域的公共技术资源。

本文披露了我国具身AI产业的最新发展趋势,能给相关技术服务商梳理业务方向提供参考,核心内容如下

1. 行业发展趋势:当前我国具身AI产业处于快速发展阶段,基础设施建设推进速度快,截至2026年6月已经投用超70个训练场,还有46个待落地,覆盖超过半数省级行政区,赛道整体增长空间大,服务商可以提前布局该领域的相关业务。

2. 客户核心痛点:当前行业普遍存在传统纯软件AI无法落地物理场景的痛点,而具身AI通过软硬件融合的方式解决了该痛点,围绕具身AI的技术服务、训练场运营服务都有旺盛的市场需求。

3. 核心场景方向:目前86%的训练场都面向工业制造领域,说明工业领域的需求最为集中,服务商可以优先深耕工业制造场景的相关服务,打造核心竞争力。

本文披露的具身AI产业最新进展,能给布局AI产业的平台商调整业务策略提供参考,核心内容整理如下

1. 产业需求洞察:当前国内具身AI产业处于快速发展期,对公共基础设施、产业资源对接的需求旺盛,全国已有超70个训练场投用还有46个待建,平台可以围绕具身AI产业开拓资源对接、场地合作、企业服务等新业务板块。

2. 招商与运营方向:目前具身AI产业核心集聚在长三角、京津冀、珠三角三大区域,核心应用场景是工业制造,平台招商可以针对性向这些区域的相关企业倾斜资源,打造具身AI特色产业带,提升平台差异化竞争力。

3. 风险提示:具身AI属于前沿交叉技术,目前仍处于发展早期,技术落地仍有不确定性,平台布局相关业务需要逐步推进,规避技术不成熟带来的业务风险。

本文披露了我国具身AI产业基础设施建设的最新官方数据,对AI产业相关研究有重要的参考价值,核心信息整理如下

1. 产业最新动向:根据中国信息通信研究院2026年的报告,截至2026年6月底,我国已经建成投用超过70个具身AI训练场,另有46个处于在建或规划阶段,布局覆盖超过半数省级行政区,说明我国具身AI产业基础设施布局速度快,产业已经进入快速发展阶段。

2. 产业布局特征:当前我国具身AI最核心的应用方向是工业制造,86%的训练场都覆盖该领域,同时产业呈现明显的区域集聚特征,长三角、京津冀、珠三角已经形成主要的产业集群,区域集聚效应初步显现。

3. 技术方向价值:具身AI作为人工智能和机器人学的交叉前沿技术,解决了传统纯软件AI的落地痛点,是AI与实体经济融合的关键路径,是未来产业研究的重要方向。

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Quick Summary

This article outlines the latest progress in developing embodied AI training facilities in China, with key takeaways as follows:

1. Development progress: According to the 2026 report from the China Academy of Information and Communications Technology (CAICT), by the end of June 2026, more than 70 embodied AI training facilities had been completed and put into operation nationwide. An additional 46 facilities are either under construction or in the planning stage, with the overall layout covering more than half of China’s provincial-level administrative regions, showing rapid progress in building out this industrial infrastructure.

2. Definition and value: Per public standard definitions, embodied AI is a cutting-edge interdisciplinary technology. Its core lies in the deep integration of AI hardware and software to form a complete closed loop of perception, cognition, decision-making and execution. It solves the pain point that traditional pure software AI cannot be deployed in physical scenarios, and serves as a critical pathway connecting digital intelligence to the real world.

3. Current industry status: These training facilities primarily provide physical environment support for data collection, model training and other related work. Currently, 86% of these facilities focus on the industrial manufacturing application direction, and core industrial clusters have formed in three major regions including the Yangtze River Delta.

This article discloses the latest layout of China’s embodied AI industrial infrastructure, offering reference for brands looking to enter this sector. Key insights are as follows:

1. Current industry development: China’s embodied AI industry is now in a period of rapid growth, with its infrastructure gradually improving. By June 2026, more than 70 training facilities were operational, with 46 more pending deployment, covering over half of provincial regions. Three core industrial clusters have taken shape, laying a solid foundation for industry commercialization.

2. Technological value and trend: Embodied AI solves the pain point that traditional AI cannot be deployed in physical scenarios, and is the core direction for the future integration of AI and the real economy. Demand for related intelligent products from both consumer and industrial sides will grow gradually, so brands can lay out early to seize first-mover advantage in this sector.

3. Application direction reference: Industrial manufacturing is currently the core application scenario, covered by 86% of all training facilities. Brands developing industrial intelligent products can prioritize matching with industrial resources in clustered regions.

This article shares the latest development updates of the embodied AI industry, helping sellers targeting intelligent sectors clarify opportunity directions. Key takeaways are summarized below:

1. Growth opportunities in the sector: China is rapidly building out embodied AI infrastructure, with more than 70 professional training facilities already completed and 46 more planned. As the industrial ecosystem matures, related tracks including intelligent hardware and industrial intelligent products are poised for strong growth, so sellers can position early to capture market share.

2. Demand direction hints: 86% of current training facilities serve the industrial manufacturing sector, indicating clear and strong demand for intelligent upgrades in industry. B2B sellers can tap into demand from industrial scenarios to open up new growth channels.

3. Resource connection tips: Core embodied AI industrial clusters have formed in the Yangtze River Delta, Beijing-Tianjin-Hebei region and the Pearl River Delta. Sellers can connect with local industrial resources to reduce costs for technology collaboration and product R&D, while boosting their own competitiveness.

The information on embodied AI industry layout disclosed in this article provides reference for factories advancing digital and intelligent transformation. Key insights are as follows:

1. Reference for technological upgrade direction: Embodied AI is a core technology connecting digital intelligence and physical production scenarios, solving the pain point that traditional pure software AI cannot adapt to physical production. It enables factories to build an intelligent closed loop across the entire production process, making it a key direction for future digital upgrading of factories.

2. Usable industrial resources: China now has more than 70 professional embodied AI training facilities in operation, which can support factories in real-world data collection, intelligent model training, robotic system testing and other work. Leveraging public training facilities allows factories to cut internal R&D and testing costs and speed up their upgrade processes.

3. Industry layout hints: Industrial manufacturing is currently the core application direction for embodied AI training facilities, and industrial clusters have formed in China’s three major coastal economic circles. Factories with upgrade demand can prioritize connecting with public technical resources in these regions.

This article shares the latest development trends of China’s embodied AI industry, providing reference for relevant technology service providers to clarify their business directions. Key insights are summarized below:

1. Industry development trends: China’s embodied AI industry is currently in a period of rapid development, with infrastructure being rolled out at speed. By the end of June 2026, more than 70 training facilities were operational, with 46 more pending deployment, covering more than half of China’s provincial-level administrative regions. The overall sector offers substantial growth room, so service providers can expand into related business areas early.

2. Core customer pain points: The industry widely faces the pain point that traditional pure software AI cannot be deployed in physical scenarios. Embodied AI solves this problem through the integration of hardware and software, creating strong market demand for both embodied AI technical services and training facility operation services.

3. Core scenario focus: 86% of current training facilities serve the industrial manufacturing sector, indicating that demand is most concentrated in this area. Service providers can prioritize deepening their offerings for industrial manufacturing scenarios to build core competitiveness.

This article presents the latest progress of China’s embodied AI industry, providing reference for platforms布局ing in the AI sector to adjust their business strategies. Key takeaways are summarized below:

1. Industrial demand insight: China’s embodied AI industry is in a period of rapid development, with strong demand for public infrastructure and industrial resource matching. More than 70 training facilities are already operational nationwide, with 46 more under construction or planned. Platforms can develop new business segments around the embodied AI industry, including resource matching, facility cooperation and enterprise services.

2. Investment attraction and operation direction: The embodied AI industry is primarily clustered in the Yangtze River Delta, Beijing-Tianjin-Hebei region and the Pearl River Delta, with industrial manufacturing as its core application scenario. Platforms can allocate more recruitment resources to relevant enterprises in these regions to build specialized embodied AI industrial belts, and enhance differentiated competitiveness.

3. Risk warning: As a cutting-edge interdisciplinary technology, embodied AI is still in an early development stage, with remaining uncertainties in technology commercialization. Platforms should expand related business incrementally to avoid operational risks brought by immature technology.

This article discloses the latest official data on the construction of embodied AI industrial infrastructure in China, offering important reference value for AI industry-related research. Key information is summarized below:

1. Latest industry developments: According to the 2026 CAICT report, by the end of June 2026, more than 70 embodied AI training facilities had been completed and put into operation in China, with an additional 46 facilities under construction or in planning. The layout covers more than half of China’s provincial-level administrative regions, indicating that China is rapidly rolling out embodied AI industrial infrastructure, and the industry has entered a phase of rapid development.

2. Characteristics of industrial layout: Currently, industrial manufacturing is the core application direction of embodied AI in China, covered by 86% of all training facilities. The industry also shows clear regional agglomeration: major industrial clusters have formed in the Yangtze River Delta, Beijing-Tianjin-Hebei region and the Pearl River Delta, and regional agglomeration effects have begun to emerge.

3. Technological value and research direction: As a cutting-edge interdisciplinary technology at the intersection of artificial intelligence and robotics, embodied AI solves the deployment pain point of traditional pure software AI. It is a critical pathway for integrating AI with the real economy, and serves as an important direction for future industrial 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.

中国信息通信研究院2026年报告披露,截至2026年6月底,全国范围内已建成投入运营的具身AI训练场超过70个,另有46个相关场地处于在建或规划阶段,布局覆盖超过半数省级行政区。

公开标准定义显示,具身AI是人工智能、机器人学等多学科交叉的前沿技术,核心是将AI软件与物理硬件深度融合,实现感知认知决策执行的完整闭环,解决传统纯软件AI无法落地物理场景的痛点,是连接数字智能与现实世界的关键路径。

上述训练场主要提供实体环境,支撑真实世界数据采集、AI模型训练、机器人系统测试等工作。工业制造是目前最普遍的应用方向,出现在86%的训练场中。长三角、京津冀、珠三角区域已形成具身AI训练场的主要产业集群。

本文首发于 亿邦动力 官方网站

文章来源:亿邦动力

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FAQ回顾

具身AI是什么?

具身AI是人工智能、机器人学等多学科交叉的前沿技术,核心是将AI软件与物理硬件深度融合,实现感知认知决策执行的完整闭环,可解决传统纯软件AI无法落地物理场景的痛点,是连接数字智能与现实世界的关键路径。

我国具身AI训练场的建设布局情况是怎样的?

截至2026年6月底,我国已建成投入运营的具身AI训练场超过70个,另有46个相关场地处于在建或规划阶段,布局覆盖超过半数省级行政区,长三角、京津冀、珠三角区域已形成主要产业集群。

具身AI训练场有什么作用?常见应用方向有哪些?

具身AI训练场主要提供实体环境,支撑真实世界数据采集、AI模型训练、机器人系统测试等工作。目前工业制造是最普遍的应用方向,出现在86%的已投用训练场中。

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