日前举行的2025世界制造业大会正式发布《制造业数字化转型能力水平（2025）》（以下称《报告》）。《报告》显示，截至今年6月底，超六成企业基本实现全业务流程数字化。其中，研发设计、生产制造等关键业务环节数字化普及率均超过60%，我国制造业数字化转型正由中等水平向中高级阶段迈进。
The 2025 World Manufacturing Convention, held recently, officially released the Manufacturing Industry Digital Transformation Capability Level (2025) (hereinafter referred to as the "Report"). According to the Report, by the end of June this year, over 60% of enterprises had basically realized digitalization in all business processes. Among them, the digitalization penetration rate in key business links such as R&D & design and production & manufacturing has exceeded 60% respectively. China’s manufacturing industry is moving from the medium-level stage to the medium-to-high-level stage in its digital transformation.
“全球经济增速持续放缓，行业竞争日趋激烈，发达国家采取措施吸引制造业回流，关税和贸易政策的不确定性对我国制造业市场和供应链带来不小压力，生产成本被迫抬升。”中国工业互联网研究院高级工程师李佳腾表示，与此同时，在“双碳”目标引领下，制造业也面临绿色转型与降本增效的双重压力，迫切需要改善生产方式。在新一代信息技术快速发展背景下，数字化转型无疑是一条重要路径。
"The global economic growth rate has continued to slow down, industry competition has become increasingly fierce, developed countries have taken measures to attract the return of manufacturing industries, and the uncertainty of tariff and trade policies has brought considerable pressure on China's manufacturing market and supply chains, forcing production costs to rise," said Li Jiateng, a senior engineer at the China Academy of Industrial Internet. At the same time, under the guidance of the "dual carbon" goals, the manufacturing industry also faces the dual pressures of green transformation, cost reduction and efficiency improvement, and there is an urgent need to improve production methods. Against the backdrop of the rapid development of a new generation of information technology, digital transformation is undoubtedly an important path.
在世界制造业大会2号展馆的洛阳轴承集团股份有限公司展台上，多款主力轴承整齐陈列。其中，打破国外垄断的“复兴号”动车组轴箱轴承CR400系列，吸引了不少观众驻足观看。“制造业企业若想实现长远发展，推进数字化改造是必由之路。”洛轴集团销售总公司副总经理焦阳表示，以风电齿轮箱轴承智能工厂为例，从设计选材到生产交付全流程均已实现数字化。“工厂生产的风电轴承内圈壁最薄处仅为10毫米，尺寸精度批量化稳定控制在0.05毫米以内。”焦阳表示，相比传统生产线，生产效率提升约30%，产品合格率达99.9%。
At the booth of Luoyang Bearing Group Co., Ltd. in Hall 2 of the World Manufacturing Convention, a variety of core bearing products are neatly displayed. Among them, the CR400 series axle box bearings for "Fuxing" high-speed EMUs, which have broken foreign monopolies, have attracted many visitors to stop and watch. "For manufacturing enterprises to achieve long-term development, promoting digital transformation is the only way forward," said Jiao Yang, Deputy General Manager of the Sales Company of Luoyang Bearing Group. Taking the intelligent factory for wind power gearbox bearings as an example, he noted that the entire process from design and material selection to production and delivery has been digitalized. "The thinnest part of the inner ring wall of the wind power bearings produced by the factory is only 10 millimeters, and the dimensional accuracy is stably controlled within 0.05 millimeters in mass production," Jiao Yang added. Compared with traditional production lines, the production efficiency has increased by about 30%, and the product qualification rate has reached 99.9%.
“我国以数字化转型作为制造业发展重要路径，推动平台、企业、政府协同发展，汇聚多项资源要素，共同培育典型场景解决方案和精准化数字服务，全面提升产业链数字化水平。”李佳腾表示，近年来，《中小企业数字化赋能专项行动方案（2025—2027年）》《中小企业数字化转型指南》等专项政策先后颁布，推动中小企业加快数字化转型。2025年，工信部印发《场景化、图谱化推进重点行业数字化转型的参考指引（2025版）》，加快新一代信息技术全方位全链条普及应用。
"China takes digital transformation as a key path for the development of the manufacturing industry, promoting the coordinated development of platforms, enterprises, and the government, pooling various resource elements, jointly fostering scenario-specific solutions and targeted digital services, and comprehensively enhancing the digitalization level of the industrial chain," said Li Jiateng. In recent years, special policies such as the Special Action Plan for Digital Empowerment of Small and Medium-Sized Enterprises (2025-2027) and the Guidelines for Digital Transformation of Small and Medium-Sized Enterprises have been successively issued, driving small and medium-sized enterprises to accelerate their digital transformation. In 2025, the Ministry of Industry and Information Technology (MIIT) issued the Reference Guidelines for Promoting Digital Transformation in Key Industries through Scenario-Based and Map-Based Approaches (2025 Edition) to accelerate the all-round and full-chain popularization and application of the new generation of information technology.
当前，我国已搭建两化融合公共服务平台，为超过36万家企业提供评估和对标服务，覆盖全国所有省市、41个工业大类及207个中类，形成了覆盖广泛、代表性强的企业样本库，为精准把脉现状、分类施策奠定了基础。《报告》指出，江苏、山东、广东、安徽等省份两化融合发展水平较快，其中江苏两化融合水平已突破70.0。截至今年6月底，全国两化融合整体发展水平已达65.0。
Currently, China has built a public service platform for the integration of informatization and industrialization (IIoT integration), which provides assessment and benchmarking services for more than 360,000 enterprises. The platform covers all provinces, municipalities and autonomous regions across the country, 41 major industrial categories and 207 medium-sized industrial categories, forming an enterprise sample database with wide coverage and strong representativeness. This has laid a foundation for accurately analyzing the current situation and formulating targeted policies based on different categories. The Report points out that provinces such as Jiangsu, Shandong, Guangdong and Anhui have achieved rapid development in the integration of informatization and industrialization, among which Jiangsu's level of such integration has exceeded 70.0. By the end of June this year, the overall development level of the integration of informatization and industrialization across the country had reached 65.0.
反映到企业层面，数字化改造已逐步实现规模化普及，从“点状应用”走向“系统推进”。《报告》显示，我国已有77.4%的工业企业实施数字化改造，在江苏、安徽等9省甚至超过80%。值得一提的是，61.4%的企业已应用工业云平台，网络化发展促进了跨企业业务协同能力显著增强。在山东、四川、湖北、安徽、江苏5省，实现产业链协同的企业比例已超20%，网络化联接全方位拓展、营造良好的全产业链生态正成为现实。
At the enterprise level, digital transformation has gradually achieved large-scale popularization, shifting from "point-based applications" to "systematic advancement". The Report shows that 77.4% of industrial enterprises in China have implemented digital transformation, and this figure even exceeds 80% in 9 provinces including Jiangsu and Anhui. Notably, 61.4% of enterprises have adopted industrial cloud platforms, and network-based development has significantly enhanced the capability of cross-enterprise business collaboration. In 5 provinces—Shandong, Sichuan, Hubei, Anhui, and Jiangsu—the proportion of enterprises that have realized industrial chain collaboration has exceeded 20%. The all-round expansion of network connections and the creation of a sound ecosystem across the entire industrial chain are becoming a reality.
中国制造业正在由“大”向“强”发展。数字化不再是少数龙头的专利，而是整个产业的“基础设施”。
China's manufacturing industry is evolving from "large in scale" to "strong in competitiveness". Digitalization is no longer the exclusive domain of a few leading enterprises, but has become the "infrastructure" for the entire industry.
“如今，人工智能发展浪潮下，我们还积极将AI与数字化转型结合起来。”安徽电信云中台高级解决方案经理王君睿表示。据了解，中国电信作为建设网络强国、科技强国、数字中国和维护网信安全的国家队主力军，准确把握人工智能发展方向，推动人工智能科技创新与产业创新深度融合，推动制造业向高端化、智能化、绿色化转型升级。
"Now, amid the wave of artificial intelligence (AI) development, we are also actively integrating AI with digital transformation," said Wang Junrui, Senior Solution Manager of Anhui Telecom's Cloud Middle Platform. It is understood that as a key force in the national team for building a strong cyber nation, a strong sci-tech nation, a digital China, and safeguarding cyber and information security, China Telecom has accurately grasped the development direction of AI, promoted the in-depth integration of AI technological innovation and industrial innovation, and driven the manufacturing industry to upgrade toward higher-end, smarter, and greener development.
李佳腾表示，随着新一轮科技革命和产业变革深入推进，人工智能大发展正将制造业数字化推入“模型驱动”新阶段，智能制造发展已成为产业热议的重要话题。
Li Jiateng stated that as the new round of scientific and technological revolution and industrial transformation advances in depth, the rapid development of artificial intelligence (AI) is pushing the digitalization of the manufacturing industry into a new "model-driven" phase, and the development of smart manufacturing has become a key topic of intense discussion in the industry.
中国工程院院士、国家制造强国建设战略咨询委员会主任周济表示，智能制造发展总体可以分成两个阶段实现。第一个阶段是数字化转型，争取到2030年，数字化制造在全国工业企业基本普及。第二个阶段是智能化升级，到2035年，新一代智能制造在全国工业企业基本普及。
Zhou Ji, Member of the Chinese Academy of Engineering and Director of the National Strategic Advisory Committee for Building a Powerful Manufacturing Country, stated that the development of smart manufacturing can generally be achieved in two phases. The first phase is digital transformation, with the goal of basically popularizing digital manufacturing in industrial enterprises across the country by 2030. The second phase is intelligent upgrading, aiming to basically popularize a new generation of smart manufacturing in industrial enterprises nationwide by 2035.
“当前，人工智能已经在加速赋能千行百业，深度赋能工业、能源、汽车、教育、医疗等行业。”羚羊工业互联网股份有限公司副总裁王瑞介绍，在2025世界制造业大会上，他们正式发布羚羊工业大模型3.0，并同时推出以其为核心技术底座的羚羊工业智能体、羚羊能碳智能体、羚羊数字化营销智能体服务平台三大智能体解决方案。
"Currently, artificial intelligence (AI) is accelerating its empowerment across thousands of industries, deeply enabling sectors such as industry, energy, automotive, education, and healthcare," introduced Wang Rui, Vice President of Antelope Industrial Internet Co., Ltd. At the 2025 World Manufacturing Convention, the company officially launched the Antelope Industrial Large Model 3.0, and simultaneously rolled out three intelligent agent solutions with this model as the core technical foundation: the Antelope Industrial Intelligent Agent, the Antelope Energy-Carbon Intelligent Agent, and the Antelope Digital Marketing Intelligent Agent service platform.
在2025世界制造业大会开幕式致辞中，国家发展改革委党组成员、国家数据局局长刘烈宏表示，作为关键生产要素，数据贯穿于制造业的研发设计、生产制造、经营管理、市场营销、客户服务等全流程，高质量数据集已成为数智化转型的新型燃料。未来，制造业企业需要更加重视数据资源开发利用，加快行业高质量数据集建设，赋能“人工智能+”在行业、企业得到落地。
In his speech at the opening ceremony of the 2025 World Manufacturing Convention, Liu Liehong, Member of the Party Leadership Group of the National Development and Reform Commission (NDRC) and Director of the National Data Administration (NDA), stated that as a key factor of production, data runs through the entire process of the manufacturing industry, including R&D and design, production and manufacturing, operation and management, marketing, and customer service. High-quality datasets have become a new-type fuel for digital and intelligent transformation. In the future, manufacturing enterprises need to attach greater importance to the development and utilization of data resources, accelerate the construction of high-quality industrial datasets, and enable the implementation of "AI +" in industries and enterprises.
李佳腾认为，要实现制造业数智化，需构建高质量数据集以夯实基础，打通融合信息技术、通信技术、控制技术等数据孤岛，实现统一治理。同时，人工智能深层次应用，既需要面向生产现场，推动工艺优化，又需要面向经营管理，实现精益生产和知识积累，因此今后将需要更多既懂工艺又懂人工智能的复合型人才。
Li Jiateng believes that to achieve digital and intelligent transformation in the manufacturing industry, it is necessary to build high-quality datasets to lay a solid foundation, break down data silos across information technology, communication technology, and control technology, and realize unified data governance. At the same time, the in-depth application of artificial intelligence (AI) needs to be oriented toward both production sites to promote process optimization, and business management to achieve lean production and knowledge accumulation. Therefore, more interdisciplinary talents who understand both manufacturing processes and AI will be needed in the future.
