工信部等四部门联合印发《汽车行业数字化转型实施方案》，为中国汽车产业未来发展划出清晰路线图。
China’s Ministry of Industry and Information Technology (MIIT), together with three other departments, has jointly issued the “Implementation Plan for Digital Transformation of the Automotive Industry,” setting a clear roadmap for the sector’s future.
方案明确提出，到2027年，整车标杆企业智能制造能力成熟度等级整体提升一档，零部件企业数字化水平显著提高。
The plan states that by 2027, benchmark vehicle manufacturers will raise their intelligent manufacturing maturity level by one tier, while auto parts suppliers will see significant improvements in digital capabilities.
在核心指标层面，研发设计工具普及率将超过95%，关键工序数控化率超过70%。
In terms of key indicators, the adoption rate of digital R&D tools will exceed 95%, and numerical control coverage in critical processes will surpass 70%.
同时，行业全员劳动生产率较2025年提升10%，产品研发周期和交付周期整体缩短20%。
Meanwhile, overall labor productivity across the industry is expected to rise by 10% compared to 2025, with product development and delivery cycles shortened by 20%.
方案还提出打造一批可复制、可推广的智能工厂样板，培育20家以上汽车行业智能制造系统解决方案供应商。
The plan also aims to build replicable and scalable smart factory benchmarks and cultivate more than 20 intelligent manufacturing solution providers for the automotive sector.
在制度与能力建设方面，将形成适配产业特征、对标国际先进水平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养体系。
On the institutional side, the plan seeks to establish internationally advanced standards, technology supply systems, and talent training frameworks tailored to the automotive industry’s characteristics.
放眼更长期目标，到2030年，汽车行业整体数智化发展将达到较高水平，数字技术与业务实现深度融合。
Looking further ahead, by 2030 the automotive industry is expected to reach a high level of digital and intelligent development, with deep integration between digital technologies and core business operations.
届时，大中小企业将实现更加协调的数字化发展，供应商体系持续完善，行业数字化公共服务体系基本建成。
By then, enterprises of all sizes will achieve more coordinated digital transformation, supplier ecosystems will be strengthened, and a comprehensive digital public service system for the industry will be in place.
围绕实施路径，方案重点强调工业互联网的深度应用。
In terms of implementation pathways, the plan places strong emphasis on the deep application of industrial internet technologies.
政策明确鼓励建设汽车行业5G工厂，推广“5G+工业互联网”典型应用场景。
It explicitly encourages the construction of 5G-enabled automotive factories and the promotion of typical “5G + Industrial Internet” application scenarios.
同时，支持建设赋能研发设计、生产制造与供应链协同的行业级工业互联网平台。
At the same time, it supports the development of industry-level industrial internet platforms that empower R&D, manufacturing, and supply chain collaboration.
方案强调充分发挥汽车行业标识解析二级节点作用，推动零部件中小企业全面接入工业互联网体系。
The plan highlights the role of automotive identification resolution secondary nodes in enabling small and medium-sized parts suppliers to fully connect to the industrial internet ecosystem.
通过工业互联网平台驱动产业链“链式”转型，构建“平台+节点+产业链+企业”的协同发展模式。
By leveraging industrial internet platforms, the plan promotes “chain-based” transformation, forming a collaborative model of “platform + nodes + industrial chain + enterprises.”
在底层能力方面，方案提出强化专用算力与先进通信基础设施建设。
At the foundational level, the plan calls for strengthening dedicated computing power and advanced communication infrastructure.
探索建设汽车行业公共算力基础设施，推动企业间高性能算力服务共建共享，缓解算力资源瓶颈。
It explores the establishment of shared computing infrastructure for the automotive industry, enabling enterprises to co-build and share high-performance computing resources.
同时，加快部署5G虚拟专网、工业互联网与边缘计算节点，构建高可靠、低时延、高安全的通信网络体系。
Meanwhile, it accelerates the deployment of 5G private networks, industrial internet systems, and edge computing nodes to build a highly reliable, low-latency, and secure communication network.
在技术应用层面，人工智能被明确列为加速突破的关键方向。
At the application level, artificial intelligence is identified as a key area for accelerated breakthroughs.
方案支持企业在研发设计、生产制造和经营管理等环节深度集成人工智能技术。
The plan supports deep integration of AI technologies across R&D, manufacturing, and business management processes.
同时，鼓励打造汽车行业大模型与多样化智能体应用，探索垂直领域专用大模型。
It also encourages the development of industry-specific large models and diverse intelligent agents, including vertical-domain models for automotive software and intelligent R&D.
在智能制造环节，将推动智能机器人在焊接、喷涂、总装等场景规模化应用，打造具身智能示范产线。
In manufacturing, the plan promotes large-scale deployment of intelligent robots in welding, painting, and final assembly, creating embodied intelligence demonstration production lines.
总体来看，这一方案释放出清晰信号：中国汽车产业的竞争重心，正从规模扩张转向“数智化体系能力”的全面比拼。
Overall, the plan sends a clear signal: competition in China’s automotive industry is shifting from scale expansion to a comprehensive contest of digital and intelligent system capabilities.
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