Siemens Decodes Industrial AI Implementation at CIIF 2025: From Data Insights to Scenario Value Realization

On September 23rd, Siemens made its appearance at the 25th China International Industry Fair (CIIF) under the theme "Integrating Digital and Physical, Driving Intelligent Growth". Through three core dimensions—report release, technical validation, and product portfolio showcase—the company systematically outlined a complete path for industrial AI from awareness to implementation, addressing key concerns in the intelligent transformation of the manufacturing sector.
I. Research Breakthrough: The "Contradictory" Status of Industrial Agent Adoption
On the same day, Siemens jointly released the 2025 Industrial Agent Trend Outlook Report with Top 100 Think Tank. Based on in-depth surveys of 200 industrial enterprises, the report revealed a striking industry reality: while over 80% of enterprises recognize the value of industrial agents in efficiency improvement and cost optimization, the implementation progress remains sluggish—43% of enterprises have not yet deployed industrial agents, and only 8% have achieved large-scale application across multiple scenarios.
The report accurately identified three core bottlenecks hindering adoption: high deployment costs, shortage of interdisciplinary professionals, and insufficient technological maturity. Additionally, stability and reliability have become the top considerations for enterprises when deciding on industrial agent adoption. An AI director from a leading enterprise in the equipment manufacturing industry commented, "Data silos and inadequate data quality have become the biggest obstacles to industrial agent implementation"—a pain point that aligns with Siemens’ assessment of industry bottlenecks.
II. Practical Validation: Debut of AI Assistant Delivers Quantifiable Value
To address industry pain points, Siemens unveiled the first pilot application of its Industrial Copilot (generative industrial AI assistant) in China at the fair—a new energy vehicle EMB (Electromechanical Brake) intelligent assembly equipment co-developed with Zhongke Motong. This equipment integrates AI technology throughout the entire design and commissioning process: leveraging NX MCD (Mechanical Concept Design) virtual simulation to reduce the design cycle by 30%; relying on Industrial Copilot to automatically generate and validate PLC (Programmable Logic Controller) code, cutting both program development time and on-site commissioning cycle by 30% each; and lowering labor and material waste by 10%.
More notably, the equipment took only two months from design to production, shortening the conventional industry cycle by over 33%—serving as a vivid example of "scenario-driven value" for industrial AI. Wang Haibin, Executive Vice President of Siemens Ltd., China and General Manager of Siemens Greater China Digital Industries Group, stated, "The core breakthrough of industrial agents lies in their self-optimization capability, which requires deep integration of technology, data, and industry expertise."
III. Ecosystem Foundation: Full-Stack Capabilities Solve Transformation Challenges
To build systematic support for industrial AI implementation, Siemens showcased the upgraded version of its flagship exhibit "Heart of Drilling Excellence 2.0" at the booth. This integrated solution brings together 135 core products covering a five-layer architecture from the shop floor to the cloud, providing customized solutions for both discrete and process industries—ranging from high-precision labeling systems in the food and beverage sector to precise motion control in new energy motor manufacturing—fully breaking down IT-OT data barriers.
The more than 10 new software and hardware products released simultaneously form a synergy with the Siemens Xcelerator ecosystem platform. Currently, the platform has connected 530,000 users in China, and over 60% of its more than 300 partners focus on the AI field—offering end-to-end support for enterprises, from data governance to talent development. As Dr. Xiao Song, Member of the Managing Board of Siemens AG and President and CEO of Siemens China, emphasized, "The key to unlocking the value of 'dormant data' lies in activating technological potential with industry-specific know-how. This is precisely the core value we co-create with our ecosystem partners."
TAG:
Related Posts