As a global leader in industrial automation and digitalization, Siemens is accelerating the upgrading of global manufacturing through industrial AI, digital twins, smart manufacturing, and sustainable development technologies. Since 2026, Siemens has continued to expand its presence in the field of industrial AI and deepen its cooperation with NVIDIA to drive the construction of the next-generation smart factory ecosystem.

At CES 2026, Siemens officially launched its "Industrial AI Operating System" and introduced the new Digital Twin Composer platform. This technology combines AI, real-time data, and virtual simulation capabilities to achieve intelligent optimization across the entire process, from product design and engineering development to production operations.

Siemens stated that future factories will gradually achieve:

AI-automated generation of PLC and HMI engineering logic

Digital twin real-time simulation of production processes

Intelligent robots autonomously collaborating in production

AI predictive maintenance to reduce downtime risks

Energy management and carbon emission optimization

In addition, Siemens announced that it will build the world's first "AI-native factories," with its Erlangen factory in Germany already serving as a demonstration base for industrial AI.

According to its recent financial report, Siemens' orders are expected to grow by more than 11% in 2026, with significant increases in demand from data centers, power, industrial automation, and defense manufacturing, indicating that global investment in industrial digitalization continues to grow strongly.

Siemens automation technologies are widely used in several core industrial sectors:

Power and Energy: Used for smart grids, power plant control systems, substation automation, and new energy management.

Petrochemicals: Enables DCS process control, safety interlocks, and hazardous environment monitoring.

Automotive Manufacturing: Enables flexible production through robots, PLCs, and MES systems.

Semiconductor and Electronics Manufacturing: Combines AI and digital twins to improve precision manufacturing efficiency and product yield.

Food and Pharmaceuticals: Enables high-standard automated production, quality tracking, and compliance management.

Data Centers and Infrastructure: Supports the construction of efficient energy management and intelligent operation and maintenance systems.

The period from 2026 to 2030 will be a crucial phase for the full commercialization of industrial AI. AI, edge computing, the Industrial Internet of Things (IIoT), and robotics will deeply integrate, driving global manufacturing towards Industry 5.0.

In the coming years, Siemens' key development directions include:

Ø AI-driven autonomous engineering systems

Ø Industrial large-scale models and AI Copilot

Ø Intelligent robot collaboration

Ø Digital supply chain

Ø AI-driven predictive maintenance

Ø Smart energy systems

Ø Industrial Metaverse

As global manufacturing accelerates its intelligent upgrade, Siemens, leveraging its deep expertise in PLCs, DCSs, digital twins, industrial software, and AI platforms, is becoming a significant driver of the global industrial AI revolution.

In the future era of intelligent manufacturing, industrial automation will no longer be merely "equipment control," but will evolve comprehensively towards an "AI-driven autonomous industrial ecosystem."

Sales Manager May

E-mail: info@apterpower.com

Phone: +86-18106909650 （whatsapp）