The automation industry reshapes the landscape, AI and collaborative robots lead the intelligent upgrade

In 2025, the global automation industry is entering a new round of technology integration. With the full deployment of AI, collaborative robots and edge computing in the manufacturing front line, the industry focus is shifting from traditional automatic control systems to a higher level of "intelligent autonomy".

At the Automate 2025 North American Exhibition held recently, more than 800 automation brands made their debut. Among them, ABB demonstrated the efficient human-machine collaboration capabilities of its collaborative robot "GoFa™ series", JR Automation released modular intelligent workstations to lower the automation threshold for small and medium-sized enterprises; Schneider Electric strengthened its EcoStruxure industrial Internet of Things platform application and proposed a "energy efficiency + automation" dual-wheel drive strategy; Siemens focused on edge AI controllers and industrial data security architecture to accelerate the construction of digital twin factories.

In the field of communication, Prosoft Technology, represented by modules such as MVI56E-MNETCR, provides stable Modbus TCP/IP redundant communication between field equipment and control systems, and widely serves mining, energy and infrastructure projects.

According to market statistics, the global industrial automation market size will reach US$152.6 billion in 2024, and the market penetration rate of collaborative robots will rise to 11.6%, which is widely used in key industries such as automobiles, rail transit and smart logistics. Industry demand continues to accelerate from single automation to "intelligent flexibility".

In the Chinese market, despite the periodic adjustment, the demand for intelligent transformation of high-end equipment manufacturing, engineering machinery and rail systems remains strong. Comau and local integrators promote the implementation of laser welding and mobile robot systems, and Siemens and domestic universities jointly build laboratories to promote local talent training and AI algorithm industrialization.

From AI perception to Agentic AI (intent-driven artificial intelligence), from edge learning to equipment autonomy, global automation is entering a deep collaboration stage of "human + machine + intelligence". It is generally believed in the industry that the next five years will be a critical window period for industrial equipment to move from "tools" to "smart partners."

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