Global Market Size, Forecast, and Trend Highlights Over 2025-2037
Robotic Welding Market size was valued at USD 9.23 billion in 2024 and is set to exceed USD 31.12 billion by 2037, registering over 9.8% CAGR during the forecast period i.e., between 2025-2037. In the year 2025, the industry size of robotic welding is evaluated at USD 10 billion.
The growth of the market can be attributed to the technological advancement and new breakthroughs in robotics and automation technology, along with growing adoption of robots in industrial application. Use of robots reduces the risk of workplace accidents, which is estimated to primarily drive the market growth. According to the International Labor Organization (ILO), 2.3 million work-related accidents or diseases occur every year around the world. Welding is a high-risk work, which requires accuracy and precision. This is easier to achieve through automation. Such factors are estimated to boost the market growth. The up-surge in industrial IoT is further projected to promote the market growth.
Robotic Welding Sector: Growth Drivers and Challenges
Growth Drivers
- Growing Adoption of Robotics and Automation
- Enhanced Productivity, Quality, and Safety by Implementation of Robots
Challenges
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Availability of Cheap Labor in Low-Income Countries
Robotic Welding Market: Key Insights
Report Attribute | Details |
---|---|
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
9.8% |
Base Year Market Size (2024) |
USD 9.23 billion |
Forecast Year Market Size (2037) |
USD 31.12 billion |
Regional Scope |
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Robotic Welding Segmentation
The market is bifurcated by type into spot welding robots, and arc welding robots, out of which, the arc welding robots segment is anticipated to hold the notable share in the market over the forecast period on account of growing demand for low space and less maintenance robots. Moreover, the achievement of higher accuracy is another factor estimated to boost the segment growth. On the basis of end-user industry, the automotive segment is forecasted to hold a significant market share over the forecast period, owing to the growing production and repairing activities of vehicles, backed by high demand for vehicles.
Our in-depth analysis of the global market includes the following segments:
By Type |
|
By Payload |
|
By End-User Industry |
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Customize this ReportRobotic Welding Industry - Regional Synopsis
On the basis of geographical analysis, the robotic welding market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and Middle East & Africa region. North America industry is likely to hold largest revenue share by 2037, attributed to rising adoption of robotics and automatic technology, along with higher labor cost in the region. Moreover, growing construction activities, and automobile manufacturing in the region, are estimated to boost the regional market growth.
The market in Asia Pacific region is estimated to witness noteworthy growth over the forecast period on the back of the presence of many robotic manufacturing companies in China and Japan, along with rising industrial development in the region. On the other hand, the market in Europe is projected to grow owing to the rising trends for industry 5.0 and for the surge in advancements from industry 4.0 concepts.

Companies Dominating the Robotic Welding Landscape
- KUKA AG
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
- FANUC Corporation
- Yaskawa Electric Corporation
- Kawasaki Heavy Industries, Ltd.
- Panasonic Corporation
- DAIHEN Corporation
- Nachi-Fujikoshi Corp.
- Comau S.p.A.
- Hyundai Robotics
- ABB Ltd.
Recent Developments
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September 22, 2021: KUKA AG to build seeing robots, which are robots with inbuilt camera, for the construction sector. 3D sensors, and artificial intelligence were also used in the robots.
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July 13, 2021: Comau S.p.A. to join hands with Siemens AG to develop new and easy-to-use robot programming approach.
Author Credits: Richa Gupta
- Report ID: 3625
- Published Date: Dec 24, 2024
- Report Format: PDF, PPT