艾媒咨询|2020年中国新基建时代人工智能产业发展报告

本报告研究涉及企业/品牌/案例：创新奇智，商汤科技，云天励飞。

在新基建的浪潮下，人工智能加速与大数据、云计算、5G、物联网等新兴技术双向赋能、深度协同，技术商业化进程逐渐加速。数据显示，2019年中国人工智能核心产业规模超过510亿元，预计2030年将超过10000亿元。艾媒咨询分析师认为，2020年国家新基建战略的出台将从政策资源、技术生态、应用场景等多个方面助力人工智能全面产业化，核心产业规模将继续强劲增长。人工智能在横向与纵向皆迅速迭代拓展，人工智能企业将迎来百花齐放的局面。但机遇的来临往往裹挟着挑战，诸如数据安全、隐私保护、过程监管等问题不容忽视。艾媒咨询分析师认为，技术是把双刃剑，需要配套的治理规范体系，才能确保相关产业的持续健康发展。市场对风险关切度的提升将加速驱动相关治理体系出台。

With the development of new infrastructure, artificial intelligence is accelerating two-way empowerment and in-depth collaboration with emerging technologies such as big data, cloud computing, 5G and the Internet of Things. The process of technology commercialization is gradually accelerating. As the data showed, the scale of China's core artificial intelligence industry exceeded 51 billion yuan in 2019 and is expected to exceed 1 trillion yuan in 2030. iiMedia consulting analysts believe that the launch of the new infrastructure strategy in 2020 will facilitate the full industrialization of artificial intelligence from policy resources, technology ecology, application scenarios and other aspects. The scale of core industries will continue to grow strongly. Artificial intelligence rapidly expands in both horizontal and vertica. Artificial intelligence enterprises booms in related fields. But opportunities often come with challenges, such as data security, privacy protection, process supervision and other issues can not be ignored. iiMedia consulting analysts believe that technology is a double-edged sword, which requires a supporting regulatory system to ensure the sustainable and healthy development of related industries. The improvement of the market's risk sensitivity will accelerate the introduction of relevant governance systems.

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.

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