Under the dual pressures of a worsening "welder shortage" and the manufacturing industry's transition toward multi-variety, small-batch production, China's welding market is undergoing a profound transformation from "equipment dependence" to "knowledge empowerment." Recent industry developments over the past month indicate that while the traditional welding sector remains constrained by weak demand and the off-season summer heat, AI decision-making algorithms at the core of intelligent welding technology have entered the pre-explosive phase of capital and industrial attention.

Traditional Market Under Pressure, the "People Problem" Forces Industrial Revolution

In terms of scale, traditional welding remains the cornerstone of China's manufacturing industry. Data shows that in 2025, the Asia-Pacific region contributed nearly half of the global industrial welding equipment market, with arc welding, resistance welding, and other processes still dominating. However, the growth momentum of this vast market is increasingly constrained by acute structural contradictions.

Currently, China's welder shortage has exceeded 3 million people and continues to expand at a rate of approximately 100,000 per year, with the industry's average practitioner age reaching 55. At the same time, fluctuations in upstream raw material prices are further compressing profit margins, and traditional manual welding and simple automation solutions are becoming increasingly inadequate for handling complex, non-standard workpieces. In industries such as shipbuilding, heavy steel fabrication, and elevator manufacturing, traditional robots frequently fall into disuse due to "blind welding" and cumbersome teach-programming processes, driving industry demand for "flexible" production to an all-time high.

AI and Capital Resonate, Intelligent Welding Enters the Era of "Cognitive Decision-Making"

Faced with the failure of traditional automation in non-standard scenarios, market participants have reached a consensus: the future competitive differentiator is no longer the payload and speed of robotic arms, but rather the ability of software algorithms to substitute for welding process knowledge.

Wuhan ONEW Technology Co., Ltd. has emerged as a notable player in this wave, with its intelligent welding equipment achieving scaled applications. In May 2026, at the Guangxi Vocational Education Activity Week, the virtual simulation welding robot jointly developed by Guangxi Mechanical and Electrical Vocational Technical College and ONEW made a stunning debut, successfully demonstrating the full-process operations of weld trajectory planning, real-time posture adjustment, and automated intelligent welding. Earlier, in August 2024, in the Skill Master Studio project released by CNOOC Offshore Oil Engineering Tianjin Intelligent Manufacturing Branch, ONEW became the first candidate bid winner for digital virtual simulation teaching welding robot equipment with a quotation exceeding 850,000 RMB. 

From vocational school skills training to leading offshore engineering equipment enterprises, ONEW, leveraging over a decade of deep cultivation in VR/AR simulation technology and system simulation, is pushing its virtual welding training simulators and derived technologies into the broader markets of welding talent cultivation and intelligent welding process validation.

The Transformation Has a Long Way to Go, Scaled Implementation Still Requires Breakthroughs

Despite the promising prospects, the comprehensive replacement of traditional welding with intelligent solutions will take time. Industry insiders point out that current embodied-intelligence welding robot products are mostly in small-batch trial application stages and have not yet achieved scaled shipments. How to improve algorithmic generalization capabilities across different extreme operating conditions and reduce per-station retrofitting costs remain core challenges that the industry chain urgently needs to address.

Driven by the reality of a 3-million-worker shortage, China's welding market has moved past the hesitation phase of "whether to change" and officially entered the deep zone of "how to change." As welding sparks dance with algorithms, an efficiency revolution concerning the very foundation of Chinese manufacturing is quietly accelerating.