艾媒咨询 | 2026年中国英伟达概念市场状况及标杆企业分析报告

作为人工智能算力产业爆发的核心赛道，英伟达概念板块持续受益于大模型技术迭代、全球算力需求激增与AI产业链深度协同的全方位赋能，其产业效能已从上游硬件配套制造延伸至算力服务落地与千行百业智能化场景革新。当前，行业版图内算力服务器制造、高端PCB配套、AI算力运营、存储与接口器件等多元环节竞合交织，市场主体对英伟达供应链准入资质、高端产能交付能力与核心客户深度绑定关系的争夺日趋白热化，板块发展逻辑从早期主题催化向常态化业绩兑现与精细化价值运营演进。在政策端，支持人工智能算力基础设施建设、推动高端电子制造提质升级与数字经济深度融合的信号持续释放，为英伟达概念相关企业在技术研发、产能扩建及生态合作探索中注入了新的活力。纵观行业发展脉络，中国英伟达概念板块正经历从概念驱动向价值创造的跃迁，核心技术壁垒、产业链绑定深度与可持续业绩兑现能力将成为进一步发展的关键支点。
全球领先的新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2026年中国英伟达概念市场状况及标杆企业分析报告》数据显示，中国英伟达概念板块市值规模体量可观，TOP10企业总市值达24048.29亿元，行业平均市值超2400亿元；艾媒咨询分析师认为，行业整体市值规模偏大，平均超2400亿元，显示市场对英伟达概念板块的高度认可。工业富联凭借云计算和工业互联网龙头地位获得万亿级市值溢价，胜宏科技和协创数据则因PCB与数据存储业务的增长潜力被赋予较高估值。市值规模与企业行业地位强相关，头部企业多为技术壁垒高、营收稳定的核心产业链节点，中小市值企业如景旺电子等则反映其细分领域的有限话语权。
通过对典型企业的研究，可以更直观地了解英伟达概念板块各具特色的布局和差异化的发展路径。工业富联作为全球高端算力制造龙头，以全链条精密制造能力深度绑定英伟达核心供应链，展现了云计算与工业互联网双轮驱动的规模化成长路径；鸿博股份作为AI算力运营服务的代表性企业，锚定英伟达算力资源布局算力租赁与模型训练服务，其经营表现与估值波动深度绑定于AI算力需求释放节奏与业务落地进度，生态合作拓展与运营效率提升对其长期发展构成了关键支撑；胜宏科技作为高端PCB赛道的标杆企业，凭借在显卡PCB、服务器PCB领域的技术沉淀与产能布局，深度切入英伟达供应链体系，实现了产品结构升级与经营业绩的协同增长。三家企业的产业链定位、盈利模式与成长逻辑虽有差异，但共同指向了核心技术深耕、产业链深度绑定与场景价值持续兑现的长期发展方向。
As the core sector driving the explosive growth of the artificial intelligence computing power industry, the NVIDIA concept sector continues to benefit from comprehensive advancements in large-scale model technology iterations, surging global demand for computing power, and deep collaboration across the AI industry chain. Its industrial impact has expanded from upstream hardware manufacturing to the implementation of computing services and innovation in intelligent scenarios across various industries. Currently, multiple segments within the industry—including computing server manufacturing, high-end PCB supply chains, AI computing operations, storage solutions, and interface components—are interwoven with both competition and cooperation. The rivalry among market players for NVIDIA's supply chain access qualifications, advanced production capacity delivery capabilities, and strong ties with key clients has intensified significantly, shifting the sector's development logic from initial theme-driven momentum to sustained performance realization and refined value management. On the policy front, continuous signals supporting the construction of AI computing infrastructure and promoting the quality upgrade of high-end electronics manufacturing alongside its deep integration with the digital economy have injected new vitality into NVIDIA-related companies in areas such as technological R&D, capacity expansion, and ecosystem collaboration. Overall, the China NVIDIA concept sector is undergoing a transition from concept-driven growth to value creation, where core technological barriers, depth of industrial chain integration, and sustainable performance fulfillment capabilities will become pivotal drivers for further development.
According to the latest "2026 China NVIDIA Concept Market Status and Benchmark Enterprise Analysis Report" released by iiMedia Research, a globally leading third-party data mining and analysis institution for new economy industries, the market capitalization of the China NVIDIA concept sector is substantial, with the total market value of the top 10 companies reaching 2,404.829 billion yuan and the industry average exceeding 240 billion yuan. Analysts at iiMedia Research believe that the overall market capitalization of the sector is relatively large, averaging over 240 billion yuan, reflecting strong market recognition of the NVIDIA concept segment. Industrial Foxconn has achieved a trillion-yuan-level market premium due to its leadership in cloud computing and industrial internet, while Shenghong Technology and Xiechuang Data have been valued highly due to their growth potential in PCB and data storage businesses. Market capitalization is closely correlated with corporate industry positioning: leading enterprises typically represent core nodes in the industrial chain with high technological barriers and stable revenue, whereas small-and mid-cap firms like Jingwang Electronics demonstrate limited influence within their respective niche markets.
Through the study of representative enterprises, one can gain a more intuitive understanding of the distinctive layouts and differentiated development paths within NVIDIA's concept sector. As a global leader in high-end computing power manufacturing, Industrial Foxconn leverages its comprehensive precision manufacturing capabilities to deeply integrate with NVIDIA's core supply chain, demonstrating a scalable growth trajectory driven by both cloud computing and industrial internet. Hongbo Co., Ltd., as a leading provider of AI computing power operation services, focuses on NVIDIA's computing resources for offering computing power leasing and model training services; its operational performance and valuation fluctuations are closely tied to the pace of AI computing demand growth and business implementation progress, with ecosystem collaboration expansion and operational efficiency improvements serving as key supports for its long-term development. Shenghong Technology, a benchmark enterprise in the high-end PCB sector, has deeply integrated into NVIDIA's supply chain system through its technological expertise and production capacity deployment in graphics card PCBs and server PCBs, achieving synergistic growth in product structure upgrades and operational performance. Although these three companies differ in their industrial chain positioning, profit models, and growth logic, they collectively point toward a long-term development direction characterized by deepening core technology expertise, strong integration into the industrial chain, and continuous realization of scenario-based value.

艾媒咨询 | 2025年中国CPO产业市场状况及标杆企业经营数据分析报告

2025年，中国CPO（共封装光学）产业生态快速成熟，正式从实验室走向产线，迈入规模化商用阶段，成为支撑AI算力基础设施升级的核心技术路径之一。全球领先的新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布《2025年中国CPO产业市场状况及标杆企业经营数据分析报告》数据显示，2025年前三季度中国CPO营收前三企业合计占TOP10近七成，行业竞争格局较为集中；研发投入强度显著提升，前十企业平均研发费用占营收比重达13.77%，头部企业如炬光科技、曙光数创的研发投入强度分别为22.14%和21.65%；毛利率方面，技术领先企业稳定在30%-52%区间。艾媒咨询分析师认为，2025年CPO产业爆发式增长的核心驱动力是AI算力需求的持续释放，行业集中化格局与高研发投入、高盈利水平形成正向循环，头部企业凭借技术与规模优势持续巩固领先地位，未来随着1.6T及更高速率产品落地与国产替代深化，产业盈利韧性将进一步凸显。
In 2025, China's CPO (Co-Packaged Optics) industry ecosystem rapidly matured, officially transitioning from the lab to production lines and entering the stage of large-scale commercialization, becoming one of the core technological pathways supporting the upgrade of AI computing infrastructure. According to the latest report, "2025 China CPO Industry Market Status and Benchmark Enterprise Operation Data Analysis Report," released by iiMedia Research (a leading global third-party data mining and analysis firm for the new economy industry), data shows that in the first three quarters of 2025, the top three CPO revenue-generating enterprises in China collectively accounted for nearly 70% of the top 10, indicating a relatively concentrated industry competition landscape. R&D investment intensity significantly increased, with the average R&D expenses of the top 10 enterprises reaching 13.77% of revenue, while leading firms such as Jiguang Technology and Inspur Shuyang had R&D investment intensities of 22.14% and 21.65%, respectively. In terms of gross margin, technology-leading enterprises remained stable within the 30%-52% range. Analysts from iiMedia Research noted that the core driver of the explosive growth in the CPO industry in 2025 was the sustained release of AI computing demand. The industry's concentrated landscape, coupled with high R&D investment and high profitability, formed a positive cycle, allowing leading enterprises to continuously consolidate their dominant positions through technological and scale advantages. In the future, with the commercialization of 1.6T and higher-speed products and the deepening of domestic substitution, the industry's profitability resilience will further emerge.

艾媒咨询 | 2025-2026年中国智算一体机行业研究报告

　全球范围内算力需求呈现爆发式增长，传统计算模式在应对海量数据实时处理、多模态交互及复杂决策任务时已显现出局限性。智算一体机作为新一代信息技术的集成载体，通过将算力硬件、智能算法与垂直场景深度耦合，构建起“端-边-云”协同的弹性算力网络，正逐步成为支撑产业升级与数字化转型的核心基础设施。随着人工智能、5G、边缘计算等技术的深度融合，传统算力设备的功能边界不断拓展，从单一的数据处理向“感知-决策-执行”一体化演进，智算一体机以其高度集成化、智能化和场景适配性，正在重塑千行百业的底层技术架构。
全球新经济产业第三方数据挖掘和分析机构iiMedia Research（艾媒咨询）最新发布的《2025-2026年中国智算一体机行业研究报告》数据显示全球人工智能市场规模和人工智能芯片市场规模均呈现显著的增长趋势。预计到2025年，全球人工智能市场规模将达到36885亿美元。艾媒咨询分析师认为，智算一体机能够在一个紧凑的系统中完成从数据采集、存储、处理到分析的全流程，极大简化了传统IT架构的复杂性，还具备高性能计算能力、灵活性和可扩展性，智算一体机的出现，为AI算力下沉提供了有力支持。
　　The demand for computing power has witnessed explosive growth worldwide. Traditional computing models have shown limitations when dealing with real-time processing of massive data, multimodal interaction, and complex decision-making tasks. As an integrated carrier of the new generation of information technology, the intelligent computing all-in-one machine, by deeply coupling computing power hardware, intelligent algorithms and vertical scenarios, builds an elastic computing power network of "end-edge-cloud" collaboration, and is gradually becoming the core infrastructure supporting industrial upgrading and digital transformation. With the deep integration of technologies such as artificial intelligence, 5G, and edge computing, the functional boundaries of traditional computing power devices are constantly expanding, evolving from single data processing to an integrated process of "perception - decision-making - execution". The intelligent computing all-in-one machine, with its high degree of integration, intelligence, and scene adaptability, is reshaping the underlying technical architecture of thousands of industries.
　　The latest "China's intelligent computing machine industry research report from 2025 to 2026" released by iiMedia Research, a third-party data mining and analysis institution for the global new economy industry, shows that both the global artificial intelligence market size and the artificial intelligence chip market size have shown a significant growth trend. It is estimated that by 2025, the global artificial intelligence market size will reach 3,688.5 billion US dollars. Analysts from iiMedia Research believe that the all-in-one intelligent computing machine can complete the entire process from data collection, storage, processing to analysis in a compact system, greatly simplifying the complexity of traditional IT architectures. It also has high-performance computing capabilities, flexibility and scalability. The emergence of the all-in-one intelligent computing machine provides strong support for the downward penetration of AI computing power.