前不久发布的第57次《中国互联网络发展状况统计报告》（以下简称《报告》）显示，截至2025年12 月，我国互联网普及率已经突破80%，数字经济核心产业增加值占GDP比重提升至10.5%，生成式人工 智能用户规模达6.02亿人，应用场景向生活、生产领域深度渗透。 《报告》认为，"十四五"期间，我国互联网坚持创新引领，以新基建为底座、新技术为引擎、新主体为 支撑，构建起系统协同、活力迸发的发展新格局。 新基建超前部署，夯实数字化底座。在移动网络方面，我国已建成5G基站483.8万座，全国所有乡镇以 及95%行政村已通5G，5G演进网络已覆盖超330个城市；在算力设施方面，建成万卡智算集群42个，智 能算力规模位居全球前列，有力支撑我国人工智能产业快速发展。 2025年，我国部署深入实施"人工智能+"行动，加强人工智能与各领域广泛深度融合。 在中国互联网络信息中心政策与国际合作所副所长王常青看来，在"人工智能+"行动中，中小企业既是 受益者，更是主力军，双重身份缺一不可。作为"受益者"，人工智能是中小企业的转型利器，精准破解 其"研发难、成本高、效率低"的痛点。对专精特新中小企业而言，人工智能助力其在细分领域突破技 ...

Core Insights - Artificial Intelligence (AI) is transforming the manufacturing industry by enabling predictive analytics, intelligent process optimization, and data-driven decision-making [1][2] - The guide explores prominent AI applications in manufacturing, focusing on predictive maintenance and performance planning, while addressing operational efficiency, unplanned downtime reduction, and emerging trends towards sustainable and human-centric smart manufacturing [1][3] Group 1: AI Applications in Manufacturing - AI applications in manufacturing are centered around strategic deployment of impactful use cases, facilitating a phased and iterative approach to build a fully interconnected smart manufacturing ecosystem [4][5] - Key foundational AI applications include predictive maintenance and performance planning, which integrate heterogeneous data streams from various enterprise data sources to generate actionable insights [5][7] - Predictive maintenance has shown to reduce unplanned downtime by 30% to 50%, with some implementations achieving reductions of up to 70% [10][11] Group 2: Industry-Specific Applications - AI applications are highly contextual and need to be tailored to specific industry operational realities, regulatory environments, and strategic priorities [17] - In discrete manufacturing, AI focuses on maximizing equipment availability and maintaining strict quality tolerances, with unplanned downtime losses potentially reaching hundreds of thousands of dollars per hour [18] - The energy sector utilizes AI for asset lifecycle optimization and risk-based prioritization, significantly reducing maintenance costs and improving asset reliability [19] Group 3: Benefits of AI in Manufacturing - AI delivers compounded value across three strategic pillars: enhancing equipment availability, improving operational performance, and maximizing output quality and yield [23][24] - Implementing AI can lead to productivity improvements of 15% to 35%, with top facilities achieving output increases of 40% to 60% per hour [25] - AI-driven anomaly detection and quality control can reduce defect rates by 30% to 70%, significantly enhancing customer satisfaction [26] Group 4: Future Trends - The AI landscape in manufacturing is shifting towards mature, ecosystem-driven deployments, with a focus on democratizing access to AI tools for non-experts [39][43] - Generative AI is emerging as a core component of manufacturing intelligence, enhancing troubleshooting and design processes [44][45] - The global AI market in manufacturing is projected to grow from approximately $3.2 billion in 2023 to $20.8 billion by 2028, with a compound annual growth rate (CAGR) exceeding 45% [50]

Core Insights - The report indicates that by December 2025, the number of internet users in China is expected to reach 1.125 billion, with an internet penetration rate of 80.1% [1][2] - The user base for generative artificial intelligence is projected to be 602 million, achieving a penetration rate of 42.8% [1][2] - China has established a total of 4.838 million 5G base stations, with 5G networks covering over 330 cities [1] Group 1 - The internet user base in China is projected to reach 1.125 billion by December 2025 [1][2] - The internet penetration rate in China is expected to be 80.1% by the end of 2025 [1][2] - The generative artificial intelligence user base is anticipated to be 602 million, with a penetration rate of 42.8% [1][2] Group 2 - China has built a total of 4.838 million 5G base stations [1] - The coverage of 5G networks extends to over 330 cities [1]

"十四五"期间，我国互联网坚持创新引领，以新基建为底座、新技术为引擎、新主体为支撑，构建起系 统协同、活力迸发的发展新格局。 新基建超前部署，夯实数字化底座。在移动网络方面，已建成5G基站483.8万座，全国所有乡镇以及 95%的行政村已通5G，5G演进网络已覆盖超330个城市。在固定网络方面，建成千兆光网10GPON端口 数达到3162万个。在算力设施方面，建成万卡智算集群42个，智能算力规模超过1590 EFLOPS。 人工智能驱动变革，塑造发展新引擎。截至2025年12月，生成式人工智能用户规模达6.02亿人，较2024 年底增长141.7%；普及率达42.8%，同比大幅提高25.2个百分点。生成式人工智能正加速融入日常生活 与生产领域，成为推动社会数字化、智能化转型的重要引擎。 中小企业规模不断壮大，固基强链作用明显。目前，我国中小企业数量超6000万家，中小企业单位数、 从业人员、资产总计分别占全部企业的99.9%、84.3%和78%。已累计培育专精特新"小巨人"企业超1.76 万家，专精特新中小企业超14万家，科技和创新型中小企业超60万家，优质中小企业梯度培育工作稳步 推进。 （来源：经济日报） ...

71.5%的职业院校学生，将生成式人工智能用于知识扩展，超过七成学生对这种使用"持积极态度"；近 50%的高职院校已开设人工智能通识课；职业院校教师已"初步具备智能教学素养"，但"区域差异明 显"，两成教师使用AI工具超过1年；67.33%的职业院校已应用AI提升教学效率，45.79%已开发数字资 源，35.47%完成了智能化升级…… 在"以人为本，发展师生智能素养"方面，主要挑战在于师生的智能素养发展存在不均衡，发展需求未得 到充分满足，以及发展体系尚需健全和完善。在"应用为要，融合AI技术与教育"方面的挑战，则包括学 生层面应用较为活跃，但高阶使用仍待提升；教师层面局限于效率提升工具，在教学中的成效尚不明 显；学校层面整体AI渗透率较低，尚处于初步探索阶段。 其余的挑战还包括政策制定与制度保障机制滞后、校企协同推进AI应用尚未形成成熟模式、算力资源 建设滞后、技术供给能力不足等。 报告还提到，目前，职业院校的教师普遍认可AI能提升学生自主学习与教学效率，促进个性化教学， 但也担忧其"削弱师生情感交流、教师创新力及学生批判性思维能力"。 "人工智能时代，对老师的要求提高了。"韩锡斌对中青报·中青网记者感慨， ...

我国互联网普及率逾80% 生成式人工智能用户规模超6亿人 2025年5月4日，人们在浙江省杭州市文三数字生活街区的AI黑科技市集上体验DeepSeek的人工智能大 模型。（新华社发） 截至2025年12月，我国网民规模达11.25亿人，互联网普及率达80.1%；生成式人工智能用户规模达6.02 亿人，普及率达42.8%。 AI加速应用，发展动能更强—— AI旅行助手完成个性化行程定制、农业机器人广泛渗透"耕、种、管、收、运"全场景作业、机器人交警 高效实现交通动态分流…… 从"技术积淀"到"场景深耕"，人工智能正加速融入日常生活与生产领域，成为推动社会数字化、智能化 转型的重要引擎。 报告显示，截至2025年12月，我国生成式人工智能用户规模达6.02亿人，较2024年底增长141.7%。 2月5日，中国互联网络信息中心政策与国际合作所发布第57次《中国互联网络发展状况统计报告》。一 系列亮眼的数据，勾勒出我国互联网发展持续向"新"而行、朝"好"迈进的生动图景。 夯实数字基座，互联网普及更广—— 报告显示，我国已建成全球技术领先、规模最大的信息通信网络，打通了经济社会发展的信息"大动 脉"。 我国已累计建成5 ...

Group 1: Internet Development - As of December 2025, the number of internet users in China is projected to reach 1.125 billion, with an internet penetration rate of 80.1%, reflecting a 9.7 percentage point increase since the beginning of the 14th Five-Year Plan [2][5] - The construction of a leading global information and communication network has been completed, with 4.838 million 5G base stations built, covering over 330 cities, significantly enhancing network service penetration [2][3] Group 2: AI Application Growth - The user base for generative artificial intelligence is expected to reach 602 million by December 2025, representing a 141.7% increase from the end of 2024 [4] - AI applications are increasingly integrated into key industries such as steel, electricity, and telecommunications, enhancing product development, quality inspection, and customer service [4][3] Group 3: Digital Inclusion and Quality of Life - Online government service users are projected to reach 940 million, providing efficient services that cover the entire lifecycle of businesses and individuals [5] - The online healthcare user base is expected to reach 411 million, with over 200 projects for mutual recognition of medical examination results among local medical institutions implemented across all provinces [5] - Online education users are anticipated to reach 327 million, with a growing number of digital educational resources available on the national smart education public service platform [5]

Group 1: Internet Development in China - As of December 2025, the number of internet users in China is projected to reach 1.125 billion, with an internet penetration rate of 80.1% [1][3] - The internet penetration rate has increased by 9.7 percentage points since the beginning of the 14th Five-Year Plan, with rural internet penetration at 69.5% and internet usage among individuals aged 60 and above at 53.7% [5] Group 2: AI Adoption and Growth - The user base for generative artificial intelligence in China is expected to reach 602 million by December 2025, representing a growth of 141.7% compared to the end of 2024 [7] - AI applications are increasingly integrated into key industries such as steel, electricity, and telecommunications, enhancing product development, quality inspection, and customer service [7] Group 3: Digital Services and Quality of Life - The number of users for online government services is projected to reach 940 million, providing efficient services that cover the entire lifecycle of businesses and individuals [8] - Online healthcare services are expected to have 411 million users, with over 200 projects for mutual recognition of inspection results among medical institutions across all provinces [8] - The online education user base is anticipated to reach 327 million, with more digital educational resources becoming available on the national smart education public service platform [8]

据《央视新闻》2月5日报道，第57次《中国互联网络发展状况统计报告》今天发布。报告显示，截至 2025年12月，我国网民规模达11.25亿人，互联网普及率突破80%，数字发展成果惠及更广泛群体。我 国互联网事业的蓬勃发展，既为"十四五"收官交出了亮眼答卷，也为"十五五"布局奠定了坚实基础。 《报告》显示，我国数字经济规模稳步增长，核心产业增加值占GDP比重提升至10.5%，产业数字化转 型步伐全面提速。生成式人工智能用户规模达6.02亿人，应用场景向生活、生产领域深度渗透。 "十四五"期间，我国互联网坚持创新引领，以新基建为底座、新技术为引擎、新主体为支撑，构建起系 统协同的发展新格局。新基建超前部署，夯实数字化底座。 《报告》显示，截至2025年12月，生成式人工智能用户规模达6.02亿人，较2024年底增长141.7%；普及 率达42.8%，同比大幅提高25.2个百分点。生成式人工智能正加速融入日常生活与生产领域，成为推动 社会数字化、智能化转型的重要引擎。 股票频道更多独家策划、专家专栏，免费查阅>> 责任编辑：磐石 《中国互联网络发展状况统计报告》显示，目前我国中小企业数量超6000万家，已累计培育专 ...

中新社北京2月5日电 (记者 刘亮)中国互联网络信息中心5日在北京发布第57次《中国互联网络发展状况 统计报告》(以下简称《报告》)。数据显示，截至2025年12月，中国网民规模达11.25亿人，互联网普及 率突破80%。 《报告》称，中国网民整体规模与普及率稳步提升，城乡普及率更趋均衡。截至2025年12月，中国互联 网普及率达80.1%，较"十四五"初期提升9.7个百分点；其中农村互联网普及率为69.5%，较"十四五"初 期提升13.6个百分点；60岁及以上网民互联网使用率达53.7%，更多群体跨越数字门槛，平等融入智能 社会。 中国网民规模达11.25亿人 互联网普及率突破80% 来源：中国新闻网 编辑：张澍楠 广告等商务合作，请点击这里 本文为转载内容，授权事宜请联系原著作权人 "十四五"期间，中国互联网发展向"新"而行、朝"好"迈进，取得一系列成效。 《报告》显示，中国新基建超前部署，在移动网络方面，已建成5G基站483.8万座，全国所有乡镇以及 95%的行政村已通5G，5G演进网络已覆盖超330个城市。在算力设施方面，建成万卡智算集群42个，智 能算力规模超过1590 EFLOPS，位居全球前列， ...