Siemens At The 2025 Industrial Expo: Unlocking New Growth in Manufacturing With Industrial AI

At the 2025 Industrial Expo, industrial AI was undoubtedly the focus. Unlike previous years, when it was merely a curiosity about "new technologies," this year manufacturers are more concerned about whether AI can truly solve problems and how quickly investments can yield returns. It can be said that industrial AI is moving from "concept" to "large-scale application."

As an industry leader, Siemens, under the theme of "Digital Reality Integration, New Intelligent Growth," presented AI solutions covering the entire value chain from design, manufacturing, and operations, showcasing application cases in industries such as metallurgy, hydrogen energy, and energy management.

Breakthroughs in Industrial AI Applications

Siemens showcased nearly 20 AI-related products and applications:

AI Knowledge Assistant: Based on the Siemens knowledge base, it provides accurate and reliable technical support.

Automation Engineering Development: The AI ​​Assistant embedded in the TIA Portal can directly generate PLC code and automatically verify its correctness.

AI for Process Optimization: Transforming "experienced craftspeople" into data models, identifying production patterns through massive data analysis.

At the same time, Siemens, through its low-code platform Mendix and data platform Altair RapidMiner, has lowered the barrier to entry for AI users, enabling more engineers to quickly implement applications without requiring an IT background.

Industrial Copilot debuted in China.

One of the highlights at the event was the next-generation EMB intelligent assembly equipment for new energy vehicles, a collaboration between Siemens and China Science and Technology Mobility. With Industrial Copilot, companies have saved 30% of time in automated program development and debugging, and reduced labor and material waste by 10%, fully demonstrating the true value of AI in complex manufacturing environments.

Improving the entire value chain to break the "involution" dilemma

Currently, China's manufacturing industry faces market pressures and cost challenges. Companies need to break through by increasing efficiency through "involution" and expanding their markets through "involution." With its comprehensive hardware and software portfolio across the entire lifecycle, Siemens helps customers achieve:

Shorten design cycles by 30% and reduce rework costs.

Increase selection efficiency by 80% and reduce procurement costs by 10%.

Shorten on-site commissioning cycles by 30%.

Predictive maintenance reduces unplanned downtime by 40%.

Energy carbon management platform enables green production.

These solutions not only help companies improve productivity and reliability, but also find a new balance between cost, sustainability, and innovation speed.

Conclusion

Siemens is leveraging the deep capabilities of industrial AI and digital-physical integration to help manufacturers overcome implementation difficulties and internal competition, making every production process more efficient and intelligent. For companies seeking transformation and growth, this presents both a challenge and an opportunity.

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