AI reshapes the industrial landscape: the global transformation battle of automated production lines

May 12,2025

In today's era of rapid technological development, artificial intelligence (AI) is reshaping the industrial landscape in an unprecedented manner, and the transformation of automated production lines has become the core battlefield of this global industrial revolution.

AI-driven, production line efficiency soars

In the manufacturing industry, the integration of AI technology has made a qualitative leap in the efficiency of automated production lines. For example, the development of collaborative robots is rewriting the human-machine collaboration model. The JAKA Zu 20 robot achieved a rapid deployment of 15 minutes and successfully occupied the 3C electronics market. This technological breakthrough directly gave birth to a new business model. The "AI welding workstation" launched by Estun, with the help of AI's precise control, has increased the qualified rate of automotive parts to 99.5%, and the customer repurchase rate has exceeded 85%. Through real-time analysis and intelligent optimization of production data, AI can accurately allocate resources, predict equipment failures, reduce downtime, and greatly improve the overall efficiency of the production line.

Global companies are actively planning transformation

Facing the huge opportunities brought by AI, global companies are actively planning. European industrial giants Siemens, ABB, and Schneider recently announced an investment of more than 10 billion US dollars in the United States, focusing on the field of AI + intelligent manufacturing. Among them, Schneider's world's largest energy innovation center in Houston uses digital twin technology to simulate the operation of refineries in real time, pushing the energy industry to move towards "autonomous industry". In China, after the Shanghai Turbine Plant introduced the industrial large model generative design platform, the efficiency of turbine component design increased by ten times, and the drawing delivery cycle was greatly compressed from the original week level to minutes. Haier has achieved full process automation of product design through AIGC technology, and the response speed from model modification and upgrade to channel customization has increased by 300%. The practice of these companies fully demonstrates that AI has transformed from an auxiliary tool to the core force driving industrial innovation.

Market structure, showing polarization

At present, the market concentration of automated production lines shows a "bipolarization" trend. Multinational giants such as FANUC and ABB have occupied 45% of the high-end market with their deep technical accumulation and brand advantages. However, Chinese local enterprises have also shown strong development momentum, with revenue growth exceeding the industry average by 15 percentage points. However, the "2025-2030 Panoramic Research and Trend Outlook Report on Domestic and Foreign Industrial Automation Industry" by China Research and Consulting shows that 76% of Chinese manufacturing companies have "system island" problems, which leads to an overall equipment efficiency (OEE) of less than 65%, becoming a bottleneck restricting the further development of enterprises.

Challenges are numerous, and we need to work together to break through the difficulties

Although AI has brought many opportunities to automated production lines, the road ahead is not smooth. Cost pressure is the primary problem. The price increase of chips has caused the cost of controllers to increase by 18% annually. However, the leading companies have successfully maintained their gross profit margins above 35% through the strategy of "domestic substitution + vertical integration". Technological decoupling is also a major challenge. The embargo on industrial software has hindered the development of SCADA systems, which has forced companies to accelerate the process of domestic substitution. For example, the ECS-700 system independently developed by Zhongkong Technology has achieved 90% functional substitution. In addition, there is a huge gap in compound talents, with a supply-demand ratio of 1:8. Enterprises have to plan talent training in advance through "internal transfer + online training" and other methods. Midea Group has established an industrial automation training college, training more than 5,000 professional talents annually.
With the continuous maturity and application of AI technology, the global transformation of automated production lines has begun. Only by actively embracing AI, constantly innovating, and breaking through barriers such as technology and talent can enterprises seize the initiative in this fierce competition and reshape the new pattern of the industrial landscape.

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AI reshapes the industrial landscape: the global transformation battle of automated production lines

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