Intelligent Welding Robots Industry: Intelligent Welding Is an Inevitable Trend, and Volume Growth in the Steel Structure Industry Is Imminent
1. Market Overview of Welding Robots
Welding robots represent one of the most important types of industrial robots. As the most representative equipment in smart manufacturing, the large-scale application of industrial robots is a key approach for future manufacturing to replace labor with machines and improve production efficiency.
In 2022, welding robots accounted for approximately 16% of new installations of industrial robots worldwide, second only to handling robots.
Traditional welding robots feature high efficiency, high precision and consistent quality, and are widely used in industries with highly standardized and high-volume welding processes such as automotive, 3C electronics, metal products and construction machinery, replacing most manual welding tasks.
Composition of Welding Robots
The robot body mainly includes a 6-axis robotic arm and a controller, with core components such as the control system, reducers and servo motors. Supporting welding equipment includes welding power sources, special welding torches, automatic wire feeders, etc.
- Traditional welding robots are equipped with a teach pendant.
- Intelligent welding robots are integrated with extensive software and sensors, eliminating the need for manual programming. They can adaptively adjust processing parameters and paths without a teach pendant.
Downstream Applications
Traditional welding robots with single-process capabilities only satisfy the needs of standardized industries, mainly automotive and 3C electronics.
Steel structure, shipbuilding and other industries feature highly non-standard, small-batch, multi-variety and project-based welding demands with complex and variable process requirements. Using traditional robots would drastically increase manual programming and teaching workload, while costs could not be diluted through mass production — hence limited machine substitution in these sectors in the past.
Huge Downstream Demand
Major high-demand welding industries in China include automotive and auto parts, steel structures, and shipbuilding.
- Steel structures, automotive & auto parts, heavy industry and aerospace will grow at single-digit rates.
- The shipbuilding industry is in an upward cycle with obvious cyclicality and is expected to maintain relatively high growth in the coming years.
- The new energy sector is expanding rapidly, with projected double-digit growth.
2. Intelligent Welding: Urgent Demand in Steel Structure and Shipbuilding Industries, Volume Growth Imminent
Drivers for Machine Substitution in Steel Structures: Strong Welding Demand, Labor Shortage and Rising Costs
Necessity
In 2022, China’s total output of steel structure processing and manufacturing reached 101.4 million tons.
According to the 14th Five-Year Plan and 2035 Vision for the Steel Structure Industry, output is targeted to reach 140 million tons by 2025 and 200 million tons by 2035, with a projected CAGR of around 5% over the next decade. Welding demand is expected to grow in line with production.
Steel structure welding involves harsh working conditions and high professional requirements. As older welders retire and younger generations show low willingness to enter the trade, the welder shortage continues to widen.
According to the Guidelines for the Development of Manufacturing Talents released by relevant ministries, the talent gap in key manufacturing sectors will approach 30 million by 2025, with a shortage rate of 48%, especially in shipbuilding, automotive manufacturing, industrial machinery grinding and other fields.
The average annual salary of welders now exceeds 180,000 RMB per person, with higher pay for skilled senior welders. Given tight supply and growing demand, wages are likely to trend upward.
Technical Feasibility
Previously limited by insufficient intelligence, domestic welding robots could only perform standardized workpiece welding.
By 2021, leading enterprises had developed capabilities in intelligent welding robots.
In 2023, major steel structure companies started pilot applications, indicating that technical bottlenecks are being overcome.
Honglu Steel Structure Leads Industry-Wide Machine Substitution
The company has continuously invested in intelligent equipment to enhance capacity, improve quality and reduce costs.
It tendered for large quantities of intelligent welding robots in August 2023 and April 2024, signaling that the technology has met operational requirements.
Heavy Industry: Steady Development, Strong Demand for Machine Substitution
The automation rate in heavy industry welding is estimated at 50%–60%, leaving substantial room for further machine substitution.
3. Challenges, Market Size and Competitive Landscape of Intelligent Welding
Key Challenge: Prominent Non-Standard Attributes in Steel Structure Welding
- Butt joints: Most widely used, capable of bearing high static and dynamic loads.
- Lap joints: Suitable for steel plates under 12mm, easy to assemble but low load capacity.
- Corner joints: Used in non-critical structures.
- T-joints: Widely applied with certain load-bearing requirements.
High Process Complexity
- Before welding: Welders determine path, torch direction and angle, sequence, current and voltage based on groove shape and quality requirements.
- During welding: Thermal deformation, inconsistent weld depth, speed control and defect correction rely heavily on experienced judgment, which is difficult to formalize in written standards.
Market Size Estimation — Key Assumptions
- Domestic welder demand: 350,000 in 2025, rising to 500,000 in the long term, with an annual increase of 15,000.
- Substitution rate of intelligent welding robots: 2% (2024), 5% (2025), 10% (2026).
- Accelerated substitution from 2027–2028: annual increase of 10 and 15 percentage points respectively, reaching a long-term substitution rate of 80%.
- Each intelligent welding robot replaces 2.5 welders.
- Unit price of a complete robot system: fixed at 300,000 RMB, balancing cost reduction from scaling and complexity-driven price increases.
Post time: Mar-19-2026








