In 2024, China's Ministry of Industry and Information Technology (MIIT)set a target of completing the replacement and upgrading of about 2 million sets of industrial software by 2027. In 2025, the State Council issued a guideline on deepening the implementation of the Artificial Intelligence (AI) Plus Initiative, identifying breakthroughs in industrial software innovation as a key priority. In September of the same year, Guangdong released the Action Plan for High-Quality Development of Manufacturing Industry Empowered by Artificial Intelligence in Guangdong Province (2025-27). With a series of policy initiatives taking shape, domestically developed industrial software is reshaping the foundation of manufacturing.

Changes are already taking place on the manufacturing front lines in Guangdong. At OPPO, large AI models have reduced the number of design iterations for smartphones from five to just two, lowering trial-production risks and significantly shortening research and development cycles. The company's latest foldable model is capable of withstanding 600,000 folds while maintaining a virtually crease-free display. At the die-casting workshop of Dongguan Eontec Co., Ltd., complex simulation tasks that once required more than 20 hours can now be completed in just three to four hours with a fully domestic digital toolchain. The company's homegrown digital simulation software also helps save tens of millions of yuan each year by reducing mold repair costs and production scrap. At EMA Technology, a hardware engineer recently completed the schematic design for an edge computing box. The connector symbols used in the design were retrieved with a single click from a domestic component database—a task that previously required one or two days to obtain drawings from suppliers and manually redraw them.

The gains in research and development efficiency and reductions in manufacturing costs are not the result of isolated efforts by individual companies. Rather, they are tangible outcomes of coordinated national and provincial policies that have consistently strengthened independent innovation in industrial software and accelerated the integration of artificial intelligence into manufacturing.

手机能折叠60万次背后，国产软件赋能硬件创新

2024年，工信部明确要求到2027年完成约200万套工业软件更新换代任务；2025年，国务院印发《关于深入实施“人工智能+”行动的意见》，锚定工业软件创新突破方向；同年9月，广东出台《广东省人工智能赋能制造业高质量发展行动方案（2025-2027年）》。政策密集落子，国产工业软件正在重构制造底层。

广东制造业一线正在发生变化：OPPO手机设计迭代在AI大模型的参与下，从过去5轮缩减至2轮，试产风险下降，研发周期显著压缩，最新机型更实现60万次折叠无痕开合。在宜安科技的压铸车间里，以往耗时20余小时的复杂仿真运算，如今有了全流程国产数字化工具链，三四个小时即可完成；国产数字仿真软件更能帮企业每年节省模具返修、废品损耗等成本数千万元。英码科技的硬件工程师刚完成一款边缘计算盒子的原理图设计，其中用到的连接器符号，从国产数据库一键调取——搁以前，这得花上一两天找供应商要图纸，再手工补绘。

研发效率的提升，制造成本的缩减并非企业单打独斗的点状改良，而是国家与省级层面持续加码工业软件自主创新、推动人工智能赋能制造业的政策合力所催生的直观成果。

文｜记者 黎秋玲
图｜记者 梁子谦 黎秋玲
译｜郑书悦
英文审校｜曾敏