12月30日，工业和信息化部、教育部、市场监管总局、国家数据局四部门发布消息，已于近期联合印发 《汽车行业数字化转型实施方案》(以下简称《实施方案》)，明确提出到2027年和2030年两阶段发展目 标，部署六大重点行动，进一步为我国汽车行业数字化、网络化、智能化转型划定"路线图"。 《实施方案》显示，到2027年，整车标杆企业智能制造能力成熟度等级提升一档，零部件企业数字化水 平显著提升，研发设计工具普及率超95%，关键工序数控化率超70%；行业全员劳动生产率较2025年提 升10%，产品研发周期以及交付周期缩短20%；打造可复制推广的智能工厂样板，培育20家以上行业智 能制造系统解决方案供应商；形成适合产业特征、国际先进的数字化转型和智能制造标准体系、技术供 给体系与人才培训体系。到2030年，行业整体数智化发展达到较高水平，数字化与业务深度融合；大中 小各类企业数字化协调发展，供应商体系不断健全；基本建成匹配行业发展水平的数字化公共服务体 系，支撑保障水平大幅提升。 汽车产业作为国民经济的重要支柱产业，产业链长、涉及面广、关联带动性强，是制造业数字化转型的 重点领域。近年来，我国汽车行业数字化转型持续深化 ...

明确两阶段目标。 12月30日，工业和信息化部、教育部、市场监管总局、国家数据局四部门发布消息，已于近 期联合印发《汽车行业数字化转型实施方案》（以下简称《实施方案》），明确提出到2027 年和2030年两阶段发展目标，部署六大重点行动，进一步为我国汽车行业数字化、网络化、 智能化转型划定"路线图"。 《实施方案》显示，到2027年，整车标杆企业智能制造能力成熟度等级提升一档，零部件企 业数字化水平显著提升，研发设计工具普及率超95%，关键工序数控化率超70%；行业全员 劳动生产率较2025年提升10%，产品研发周期以及交付周期缩短20%；打造可复制推广的智 能工厂样板，培育20家以上行业智能制造系统解决方案供应商；形成适合产业特征、国际先 进的数字化转型和智能制造标准体系、技术供给体系与人才培训体系。到2030年，行业整体 数智化发展达到较高水平，数字化与业务深度融合；大中小各类企业数字化协调发展，供应 商体系不断健全；基本建成匹配行业发展水平的数字化公共服务体系，支撑保障水平大幅提 升。 证券时报各平台所有原创内容，未经书面授权，任何单位及个人不得转载。我社保留追 究相关 行 为主体 法律责任的权利。 E ...

今日，工业和信息化部等四部门发布关于印发《汽车行业数字化转型实施方案》通知。 总体要求： 为目标到2027年，整车标杆企业智能制造能力成熟度等级提升一档，零部件企业数字化水平显著提升，研发设计工具普及率超 95%，关键工序数控化率超70%；行业全员劳动生产率较2025年提升10%，产品研发周期及交付周期缩短20%；打造可复制推广的 智能工厂样板，培育20家以上行业智能制造系统解决方案供应商；形成适合产业特征、国际先进的数字化转型和智能制造标准体 系、技术供给体系与人才培训体系。 目标到2030年，行业整体数智化发展达到较高水平，数字化与业务深度融合；大中小各类企业数字化协调发展，供应商体系不断健 全；基本建成匹配行业发展水平的数字化公共服务体系，支撑保障水平大幅提升。（转载自：电车界） 更多电动车资讯请点击：http://www.evjee.cn/ 今日，工业和信息化部等四部门发布关于印发《汽车行业数字化转型实施方案》通知。 《方案》中提到，汽车产业是国民经济的重要支柱产业，产业链长、涉及面广、关联带动性强，是制造业数字化转型的重点领域。 《方案》中提到，汽车产业是国民经济的重要支柱产业，产业链长、涉及面广、 ...

Core Viewpoint - The implementation plan for the digital transformation of the automotive industry emphasizes the acceleration of artificial intelligence applications in key areas [1][2] Group 1: AI Integration - The plan supports enterprises in deeply integrating artificial intelligence technology across research and design, production and manufacturing, and operational management [1][2] - It aims to create large models and diverse intelligent applications within the automotive industry [1][2] Group 2: Innovation and Benchmarking - The initiative includes organizing an "AI+" application action to select a number of benchmark cases for innovative AI applications [1][2] Group 3: Robotics Application - The plan promotes the large-scale application of intelligent robots in welding, spraying, and assembly processes [1][2] - It aims to establish demonstration production lines featuring embodied intelligence within the automotive sector [1][2]

Group 1 - The Ministry of Industry and Information Technology and three other departments issued the "Implementation Plan for Digital Transformation of the Automotive Industry" [1][2] - The plan emphasizes the need to improve the data security protection system and technical capabilities within the automotive industry [1][2] - It aims to establish a comprehensive data security management system, including data identification, cataloging, graded protection, and risk assessment for major automotive enterprises [1][2] Group 2 - The plan proposes the establishment of a safe and efficient mechanism for cross-border data flow in the automotive sector [1][2] - It guides enterprises to enhance the protection of important data when it is exported, including the development of technical capabilities for monitoring, auditing, emergency response, and inspection support [1][2] - The plan encourages the application of privacy-preserving computing and blockchain technologies to create a secure and trustworthy environment for automotive data development and utilization [1][2]

Core Viewpoint - The Ministry of Industry and Information Technology, along with other governmental bodies, has issued a digital transformation implementation plan for the automotive industry, emphasizing the need for enhanced computing power and advanced communication infrastructure [1][2]. Group 1: Digital Transformation Implementation - The plan aims to strengthen dedicated computing power and advanced communication capabilities within the automotive sector [1][2]. - It proposes the exploration of building public computing infrastructure for the automotive industry, facilitating shared high-performance computing services among enterprises to overcome resource bottlenecks [1][2]. - The initiative includes accelerating the deployment of 5G virtual private networks, industrial internet, and edge computing nodes to establish a reliable, low-latency, and secure communication network system that meets smart manufacturing requirements [1][2].

【导读】工信部等四部门印发《汽车行业数字化转型实施方案》 来源：中国基金报 记者 李智 事关汽车行业数字化转型，重要文件来了！ 12月30日，工信部等四部门印发《汽车行业数字化转型实施方案》（以下简称《方案》），旨在推动汽 车行业数字化转型、智能化升级，加快推进新型工业化，培育形成新质生产力。 《方案》明确，到2027年，整车标杆企业智能制造能力成熟度等级提升一档，零部件企业数字化水平显 著提升，研发设计工具普及率超95%，关键工序数控化率超70%；行业全员劳动生产率较2025年提升 10%，产品研发周期及交付周期缩短20%；打造可复制推广的智能工厂样板，培育20家以上行业智能制 造系统解决方案供应商；形成适合产业特征、国际先进的数字化转型和智能制造标准体系、技术供给体 系与人才培训体系。 到2030年，行业整体数智化发展达到较高水平，数字化与业务深度融合；大中小各类企业数字化协调发 展，供应商体系不断健全；基本建成匹配行业发展水平的数字化公共服务体系，支撑保障水平大幅提 升。 在重点任务方面，《方案》明确六大行动，分别是诊断评估与改进提升行动、汽车零部件中小企业数字 化转型赋能行动、典型场景与人工智能应用示 ...

Core Viewpoint - The article discusses the implementation plan for the digital transformation of the automotive industry in China, aiming to enhance smart manufacturing capabilities and promote new industrialization by 2027 and 2030 [1][5]. Overall Requirements - The plan emphasizes high-quality development in the automotive sector, focusing on smart manufacturing and the release of data value, while promoting digital transformation for small and medium-sized enterprises [6]. - It aims to support the construction of 5G factories and the establishment of a trusted data space for the automotive industry [6][7]. Key Tasks Diagnosis and Improvement Action - Establish a comprehensive evaluation system for digital transformation and smart upgrades tailored to different types of automotive enterprises [8]. - Encourage enterprises to conduct self-assessments and diagnostics to identify weaknesses in their digital transformation efforts [8]. Empowering Digital Transformation for SMEs - Promote cloud services and digital upgrades for small and medium-sized automotive parts enterprises [9]. - Support the construction of industry-level industrial internet platforms to enhance collaboration across the supply chain [10]. Typical Scenarios and AI Application Demonstration - Develop a list of typical scenarios for digital transformation in the automotive industry and encourage collaboration between leading enterprises and service providers [11]. - Promote the integration of AI technologies in various operational aspects, including research, design, and manufacturing [11]. Gradual Cultivation and Matrix Construction - Implement a tiered approach to cultivate smart factories, supporting leading enterprises in creating exemplary facilities [12]. - Build a resource matrix of specialized service providers to support digital transformation efforts [12]. Standard System Improvement and Interconnectivity Assurance - Strengthen the standard system for digital transformation and smart upgrades, ensuring comprehensive coverage across the industry [14]. - Focus on establishing key data standards to facilitate effective interconnectivity and data security within the supply chain [14]. Key Technology Research and Basic Capability Enhancement - Prioritize research on critical technologies and products, including simulation design and intelligent equipment [15]. - Enhance communication infrastructure to support smart manufacturing needs, including the deployment of 5G networks [15]. Implementation Assurance - Establish a comprehensive support system encompassing organization, policy, talent, and security to facilitate the digital transformation process [17]. - Encourage collaboration between enterprises and educational institutions to enhance talent development and ensure a skilled workforce for the digital transition [17].

Group 1 - The core viewpoint of the article is the issuance of the "Automobile Industry Digital Transformation Implementation Plan" by the Ministry of Industry and Information Technology and three other departments, focusing on enhancing data security in the automotive sector [1] Group 2 - The plan aims to improve the data security protection system and technical capabilities within the automotive industry [1] - It emphasizes the establishment of a comprehensive data security management system and standards, ensuring that significant data from large-scale automotive enterprises is identified, cataloged, and protected [1] - The initiative includes the creation of an efficient and secure mechanism for cross-border data flow in the automotive industry, guiding companies to strengthen the protection of important data when it is exported [1] Group 3 - The plan encourages the adoption of advanced technologies such as privacy-preserving computing and blockchain to foster a secure and trustworthy environment for the development and utilization of automotive data [1]

Core Viewpoint - The Ministry of Industry and Information Technology and three other departments have issued the "Implementation Plan for Digital Transformation in the Automotive Industry," aiming to guide the deep application of industrial internet in the sector [1] Group 1: Digital Transformation Initiatives - Encouragement for the construction of 5G factories in the automotive industry, promoting typical applications of "5G + Industrial Internet" [1] - Support for the establishment of industry-level industrial internet platforms that empower research and design, production, and supply chain collaboration [1] Group 2: Industry Collaboration and Optimization - Emphasis on the role of automotive industry identification and resolution secondary nodes to facilitate comprehensive access for small and medium-sized enterprises in the parts sector [1] - Promotion of a "chain-type" transformation driven by industrial internet platforms, aiming to create a collaborative development model of "platform + nodes + industry chain + enterprises" [1] - Objective to achieve optimized resource allocation across the industry chain and efficient collaboration among enterprises [1]