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图15-2 2024年中国人工智能城市产业发展指数（内部能力-外部环境）

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图15-2 2024年中国人工智能城市产业发展指数（内部能力-外部环境）_第1页

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图15-2 2024年中国人工智能城市产业发展指数（内部能力-外部环境）_第3页

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图15-2 2024年中国人工智能城市产业发展指数（内部能力-外部环境）_第4页

图15-2 2024年中国人工智能城市产业发展指数（内部能力-外部环境）_第5页

所属报告：

北京大学：2025数字生态指数报告（87页）.pdf

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的「型城市等，确定本次研究范围，共31个省、市、自治区，以及62个地级市及以上城市（考虑部分维度数据资料缺失可能影响最终评价，暂不含港澳台城市）。大模型从“可用”转向“好用”，人工智能赋能千行百业的广度和深度有了质的提升，落地应用和商业北京以明显优势持续领先于其他省市自治区，自成第一梯队；广东、浙江、上海、江苏等4省连续多年稳居第二梯队，广东、浙江与北京的差距正在逐步缩小；山东、四川、天津、安徽、湖北、河南、辽宁、化探索全面提速。福建、湖南、陕西等 10 省市为第三梯队；河北等20 省市为第四梯队。排名前十省市名次尽管略有交替，人工智能产业发展指数是数字生态指数的重要组成部分，已连续发布五期，今年是第六期，旨在全方面立体呈现我国人工智能产业生态、提出发展建议、提供决策参考，助力推动我国人工智能产业发展。总体较为稳定。人工智能产业发展指数按照系统性、权威性、可获取性、可比性、发展性的原则，由内部能力（企业／产业发展等）和外部环境（国家／地方支持等）两个一级指标，企业数量等6个二级指标、AI企业数量等16 个三级指标构成。城市层面，北京持续保持大幅领先，自成第一梯队；深圳、上海、杭州三城市较北京以外的其他城市优势明显，为第二梯队；广州、成都、天津、武汉、南京、长沙、西安、合肥、苏州、济南、青岛和郑州等12 城市聚类成第三梯队，较第二梯队略有差距，但相对其他城市，局部领域仍有一定优势；其他人工智能产业发展指数引用了中关村数智人工智能产业联盟、北大中国社会科学调查中心、北大法宝等权威数据库 2024年度人工智能相关数据资源。通过无量纲化方法，进行归一化处理，使用德尔菲法与层次分析法相结合的方法确定指标权重，综合得到各级指标最终数值。本报告根据已统计人工智能企业所在城市、省会城市、副省级城市、直辖市、城市人口大于 300万

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