Industrial transition behind the numbers
Three years ago, if you asked domestic small and medium-sized mold factories whether they would consider purchasing domestic five-axis CNC machine tools, you would most likely get a negative answer.
Now, this industry consensus is being completely rewritten.
Public industry data shows that in the past three years, the localization rate of domestic five-axis machine tools has climbed from 18% to 59.5%, and the domestic market share has also increased from 64% to 71%.
Behind this round of rapid domestic substitution is the intersection of two core forces: on the one hand, the deep empowerment of AI technology has allowed domestic machine tools to truly move from the basic threshold of “usable” to the high-end competitive range of “easy to use”; on the other hand, the reshaping of the global supply chain pattern has also pressed the accelerator button for this domestic substitution.
Adaptive cutting, intelligent process programming, and predictive maintenance, these functions that previously only appeared on imported high-end models, have now become standard features of domestic flagship machine tools.
Speech generation and processing programs, G code writing that can take several hours to complete in 2 minutes – these scenarios that were once only demonstrated in the laboratory have now become customer delivery cases that have been implemented in batches.
Industry exhibitions release a clear signal: AI is rewriting the rules of the machine tool industry
The recently concluded 7th China Machine Tool Festival attracted a total of 2,100 industry practitioners to participate offline, and the number of live broadcasts of relevant online content exceeded 4 million times.
In addition to reaching a new high in scale, what deserves more attention is the shift in industry consensus: “AI transformation” has become the most frequent keyword in the audience. Many front-line industry guests bluntly said that machine tool manufacturers that do not actively embrace AI technology will face the risk of being marginalized by the market within three to five years.
This judgment is not alarmist: some leading machine tool manufacturers have already implemented the function of voice generation processing programs, compressing the traditional manual programming time that takes several hours to less than 2 minutes. The traditional manual programming model is facing a direct impact.
Of course, AI is not a universal solution. In areas such as complex curved surface processing and special material processing, experienced process engineers are still irreplaceable core variables. However, for highly standardized and repetitive processing scenarios, the value of AI in cost reduction and efficiency improvement has been fully verified by the market.
Double recognition by the capital market and end customers
The sense of smell of the capital market is often ahead of industry public opinion. Recently, machine tool ETFs have continued to remain active, and many industry stocks have experienced significant gains. A leading company announced a 2.5 billion yuan expansion plan and increased the construction of intelligent manufacturing production lines. Behind the daily limit of many industry stocks is the continued optimism of funds for the main industry line of “AI + high-end machine tools”.
The underlying logic of this round of market conditions is very clear: in the large cycle of transformation and upgrading of the global manufacturing industry, equipment upgrading is the prerequisite for industrial development, and high-end machine tools, as the “mother of manufacturing,” have a level of intelligence that directly determines the ceiling for the upgrading of the entire manufacturing industry.
The terminal market has also given the voting results with orders. The five-axis linkage machining centers of domestic leading machine tool manufacturers have been delivered in batches in high-end manufacturing fields such as aerospace and precision molds. The equipment stability and after-sales response capabilities have reached the international advanced level. “Solid, stable, easy to maintain, and cost-effective” has also become the new business card of domestic high-end machine tools after tearing off the “low-end” label.
Conclusion
The integration of AI and high-end machine tools has just begun, and the story of domestic machine tools replacing imported ones is far from over.
In the global competition for high-end manufacturing equipment, those who can survive the cycle will always be long-termists who ensure solid precision and ensure delivery. With the continuous iteration of technology, domestic AI machine tools are becoming a new core category for China’s high-end manufacturing overseas, and are expected to provide cost-effective Chinese solutions for the upgrading of global manufacturing.
