南方财经记者了解到，截至2025年底，广东省推动超5万家规模以上工业企业数字化转型，超额完成省政府"十四五"目标任务。 其中，重点企业数字化研发设计工具普及率93%、关键工序数控化率74%、经营管理数字化普及率88%，关键数据指标均居全国 前列。 广东省工业和信息化厅厅长曾进泽。谭砚文摄。 南方财经记者谭砚文广州报道 2月24日，在全省高质量发展大会智能制造与工业互联网分会场，广东省工业和信息化厅厅长曾进泽介绍了广东智能制造与工业 互联网发展情况。 （文章来源：21世纪经济报道） 曾进泽介绍，广东正在探索以"链式改造"带动产业链供应链向"优"升级，形成协同发展的新格局。一是以龙头企业带动供应链 协同，推动骨干企业建设数字化供应链，开展协同采购、协同制造等应用，带动上下游企业互联互通。例如，智能家电头部企 业接入供应商超16万家、打造工业APP超1200个，实现大数据调度生产，帮助企业生产效率提升38%、订单交付时间缩短25%。 二是平台企业赋能产业链转型，推动工业互联网平台为上下游企业提供低成本、快部署的数字化方案，打造柔性生产、众包众 创等新业态。三是人工智能赋能软件产业，推动重点企业建设智能体一体化服务平 ...

锐始者必图其终，成功者先计于始。2月24日，广东"新春第一会"召开，今年大会重点关注"制造业与服务业协同发展"。广东从 这两个方向推动高质量发展早有迹可循，作为中国经济第一大省，广东经济总量连续37年领跑全国，制造业和服务业在其中发 挥着重要的作用。 2025年，全省工业增加值达4.89万亿元，高新技术企业超7.7万家，区域创新能力连续9年位居全国首位。同时广东也是服务业大 省，2025年服务业增加值占全省GDP比重的58.3%，增速也比GDP增速快0.8个百分点，经济发展的主引擎作用明显。 广东率先探索"链式改造"模式，推动制造业与服务业深度融合，随着新一轮科技革命和产业变革加速突破，制造业与服务业耦 合共生的新业态、新模式和新路径不断涌现，不仅成为新的经济增长点，更极大提升了产业体系整体竞争力。 nt the start and the state of the see and the series and the series and the series and the series and the series and the series and the series and the sering ...

Core Insights - The Guangdong Provincial Government has launched the "Action Plan for High-Quality Development of Manufacturing Empowered by Artificial Intelligence (2025-2027)" to enhance the integration of AI and manufacturing, aiming to create a globally influential demonstration zone for "AI + Manufacturing" [1] Group 1: Policy Measures - The action plan outlines 16 policy measures focusing on key supply reinforcement, application promotion, support system construction, and optimization of resource guarantees [1] - Specific industries targeted include consumer electronics, high-end equipment, automotive, petrochemicals, metal manufacturing, advanced materials, home furnishings, apparel, biomedicine, food, and toys [1] Group 2: Implementation Strategies - The plan emphasizes the innovation of AI applications in high-value scenarios such as R&D design, production, management, and supply chain management, with the goal of enhancing the efficiency of large and small AI models [2] - A selection process for provincial-level AI integration application benchmarks will be established, with funding support for qualifying projects to enhance demonstration and influence [2] Group 3: Support for SMEs - The government will leverage national and provincial policies to promote AI application among SMEs in over 30 pilot industries, providing financial support for eligible projects focused on AI integration [3] - Development of core software service platforms will be supported to enhance the AI capabilities of SMEs [3] Group 4: Financial Support and Investment - The action plan addresses the high costs associated with AI technology adoption in industrial enterprises, proposing the establishment of "model vouchers" and other financial tools to reduce costs [4] - A budget of 132 million yuan is allocated for AI technology projects by 2025, with a total of 2.196 billion yuan designated for foundational research and platform construction in AI [4] Group 5: Investment Goals - Guangdong aims to increase investment in AI to over 20 billion yuan by 2027, with a target of driving related industry scale to exceed 100 billion yuan [5] - The province has established a fund group for advanced manufacturing with a total subscribed scale of approximately 70 billion yuan, investing in 52 projects [5]

Core Insights - Guangdong province is promoting a "chain transformation" for the digitalization of its manufacturing industry, with 44,000 large-scale industrial enterprises undergoing digital transformation and over 300 "lighthouse" projects cultivated, including more than 100 national pilot projects [1] - The digital transformation is shifting from "point breakthroughs" to "chain transformations," benefiting both leading enterprises and small and medium-sized enterprises (SMEs) [1] Group 1: Digital Transformation Initiatives - Guangdong has established a provincial digital transformation promotion center to address core issues such as "who to transform" and "how to transform," providing a one-stop service platform for digital transformation [2] - Guangzhou is leveraging its strengths by promoting low-cost and rapid transformation through a "one list, one platform" approach, with over 2,000 platform users and more than 500 product offerings [3] - Shenzhen Bao'an is accelerating resource aggregation to support deep collaboration within the industrial chain, with platforms like SugaNet and Cloud Factory gathering over 14,000 manufacturing enterprises [3] Group 2: Financial Support and Ecosystem Development - Dongguan Songshan Lake has created a digital service platform with over 100 quality digital service providers, offering more than 170 comprehensive solutions for over 7,000 micro-enterprises [4] - Zhongshan has innovated a "digital loan" policy to address funding challenges for SMEs, establishing a 500 million yuan risk compensation fund and facilitating 155 digital loan projects with a total loan demand of 1.6 billion yuan [4] Group 3: AI Integration in Manufacturing - Leading enterprises are acting as "chain leaders," with AI technology enhancing decision-making processes for SMEs, transitioning from traditional manual decisions to intelligent decisions [5][7] - Companies like Meiyun Zhishu are providing high-quality, low-cost, and easily deployable application solutions for SMEs through an industrial internet platform [6] - The "5G manufacturing brain" platform developed in collaboration with telecommunications has significantly improved production efficiency, saving over 600,000 yuan in storage costs annually [7]