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The Robotic Welding Market was valued at USD 7.0 billion in 2023 and is expected to reach USD 13.2 Billion by 2032, growing at a CAGR of 7.42% from 2024-2032.
Robotic Welding Market is one of the growing markets, as more and more industries are steering towards automation to achieve higher production speed along with quality. Because of the need for accuracy and repeatability, robotic-welding systems are being used in many businesses including automotive, aerospace, and manufacturing. As an example, in automotive sector, Each company such as Ford or Tesla are implementing advanced stiffened robotic welding technologies to automate assembly process, saving on labor costs and achieving quality welds. The demand for automated solutions to enhance operational efficiency is one of the primary growth factors for robotic welding market as well. Companies are using robotics to reduce human error and speed up production times. The worldwide move towards Industry 4.0 and smart manufacturing is also driving up demand for robotic welding systems as manufacturers realign themselves to embrace any new technology that promotes smartness in their manufacturing practices. Moreover, the entry of advanced robotic technologies, including collaborative robots (cobots) to work alongside human operators is further propelling market growth. These collaborative robots or cobots are characterised by a user-friendly design as well as ease of retrofitting, making them the best alternative for small and medium-sized enterprises (SMEs) wanting to automate without extensive redesigning of their production lines. In addition to this, increasing labor expenses and the lack of skilled workers are forcing industries to invest in robotic solutions. Annual global sales of robots rose by 31% in 2021, as indicated by a report from the International Federation of Robotics, indicating the rising trend towards manufacturing automation.
Next-day delivery, easily planning work flows 2023 Robotic welding demand is also being influenced by sustainability-focused efforts to reduce waste or enhance energy efficiency As an illustration, one of the largest automobile manufacturers experienced a 20% decrease in camera material waste thanks to robotic welding solutions. In conclusion, Technological innovations along with the rise of automation and a greater need for production efficiency in several manufacturing industries is projected to fuel growth of global robotic welding market during the forecast period.
Drivers
Industries seek to enhance productivity and efficiency through automation, leading to higher adoption of robotic welding solutions.
Robotic welding provides consistent and high-quality welds, reducing defects and rework, which is crucial for manufacturing excellence.
The shift towards smart manufacturing and Industry 4.0 encourages the integration of automated welding solutions into production processes
The Robotic Welding Market is being revolutionized as industry approaches smart manufacturing and broadening Industry 4.0 initiatives are pushing new modernisation planning to realise state-of-the-art automation technologies in production processes. The focus of Industry 4.0 lies on connected devices, usage of data analysis, and automation to improve operational efficiency, adaptability, and product and service quality. With the field of Design and Construction evolving, manufacturers are increasingly bringing robotic welding solutions into their processes to enable them to keep pace with changing trends. These systems allow manufacturers to monitor, control and adjust on the fly robotics welding processes based on live feedback of data. This smart capability is one of the most important in a factory as it allows machines and systems to communicate seamlessly, serving as the backbone for an efficient and productive smart factory. Through the Internet of Things (IoT), manufacturers can now glean insights and information from welding robots for smart decisions and predictive maintenance. This minimizes downtime and improves productivity.
Robotic welding also provides high accuracy and reproducibility which are essential to meet the high demands of contemporary manufacturing. Industries, particularly automotive, aerospace, and electronics are growing more robust for quality over the years leading to robotic welding systems that allow increasingly tighter tolerances along with superior quality of weld as compared to manual process. This minimizes rework & scrap rates, but fast-tracks production schedules as well. Also, in some advanced robotic welding solutions, cobots work side by side with humans and allow human-robot cooperation on the shop floor safely. This adaptability allows robotic welding solutions to be seamlessly integrated into existing workflows with minimal interruption.
To conclude, the rising trends of smart manufacturing and industry 4.0 are encouraging the utilisation of robotic welding technologies by accelerating productivity, ensuring reliability in quality, and allowing data-driven decisions. With ongoing industrial evolution, the future will accommodate more advanced solutions where the importance of robotic welding as part of manufacturing futures would be remarkable.
|
Driving Factors |
Description |
|---|---|
|
Increased Efficiency |
Automation reduces cycle times and increases throughput. |
|
Data Analytics Integration |
Real-time monitoring optimizes welding processes. |
|
Enhanced Quality |
Robotic systems ensure consistent and high-quality welds. |
|
Flexibility |
Cobots work alongside human operators, enhancing workflows. |
|
Predictive Maintenance |
IoT-enabled robots facilitate early detection of issues. |
|
Cost Reduction |
Minimizes labor costs and reduces waste and rework. |
Restraints
A shortage of skilled workforce to operate and maintain advanced robotic systems can hinder adoption.
The integration of robotic welding solutions into existing production lines can be technically challenging and time-consuming.
Increasing competition from alternative welding methods, such as manual welding, may limit the growth of robotic solutions.
Attributing to its innovative technological advancements, the Robotic Welding Market is witnessing unprecedented progress; however, it will witness stiff competition from other welding strategies especially manual welding. Despite the undeniable benefits of robotic welding such as efficiency, precision and repeatability, manual welding can still be a great choice for many applications, particularly in smaller or more specialised projects. There is competition within which it can stifle the growth of robotic solutions for multiple reasons. There are a number of reasons for this, first manual welding typically involves lower initial costs, thus making it accessible to small and medium enterprises (SMEs) with limited budgets. Such businesses might value initial investment instead of the long-term benefits of automation. Manual welding is also more versatile; a skilled welder can adapt to different workpieces or changes in the project without the need for extensive programming and reconfiguration that robotic systems require. The ability to do this can make it attractive when designs change often in an industry. And, another great thing is the skilled labor force for manual welding itself. While welders with years and years of experience can produce high quality outputs, it becomes difficult for a robotic system to entirely replace human labor in many situations. Human welders might be favored over robots in industries that involve precision and artistry.
Finally, the perception that robotic welding solutions are complicated and require specialized skills to operate a high initial investment can also discourage businesses from adopting these technologies. Training personnel to operate and maintain robotic systems takes time and resources that perhaps some companies are not willing to spend. Although these challenges exist, the robotic welding market also continues to advance and offers more advanced technologies like artificial intelligence (AI) and machine learning (ML) for improved functionality as well as easier integration into existing processes. Some of this competitive pressure will probably be resolved in the development of economical robotic solutions.
|
Feature |
Robotic Welding |
Manual Welding |
|---|---|---|
|
Initial Cost |
High |
Low |
|
Flexibility |
Limited (requires programming) |
High (adaptable to designs) |
|
Skill Requirement |
Specialized training needed |
Skilled labor widely available |
|
Skill Requirement |
High (continuous operation) |
Variable (depends on labor) |
|
Quality Consistency |
High (precise repeatability) |
Variable (depends on skill) |
|
Maintenance Needs |
Requires regular upkeep |
Variable (depends on skill) |
By Payload Capacity
In 2023, medium payload capacity accounted for a high market share as they are employed in various applications under heavy working conditions, especially across the automotive industry. Robots for welding arcPerfect for continuous operation with low maintenance and operating costs, these specialized robots from Kuka AG and FANUC Corporation are offered in a variety of designs.
On the other hand, due to growing demand for electric vehicles high payload capacity is expected to witness highest CAGR during the forecast period . This segment is further aided by the convenience of the loading and unloading operations. On the other hand, the low payload capacity segment is expected to witness continuous growth owing to large-scale usage of spot and arc welding used by various industries.
By industry
The automotive segment of the Robotic Welding Market is poised for significant growth, driven by several key factors. Firstly, the increasing demand for electric vehicles (EVs) is propelling automakers to adopt advanced robotic welding solutions to enhance production efficiency and precision. Additionally, the need for lightweight materials in vehicle manufacturing is further driving the adoption of robotic welding, as these systems can effectively join different materials, including metals and composites. Furthermore, the push towards smart manufacturing and Industry 4.0 initiatives is leading automotive companies to integrate automation and robotics into their production processes, improving overall productivity. The growing emphasis on safety and quality control in vehicle manufacturing also supports the expansion of robotic welding solutions. As a result, the automotive segment is expected to witness robust growth, reflecting the broader trends in the manufacturing industry toward automation and efficiency.
Due to the rising construction of commercial as well as residential structures, the construction segment is likely to remain the leading segment during the forecast period. Moreover the impotence from government in favour of infrastructure development for developing economies is giving impetus to requirement of robots form multiple application.
The Asia Pacific dominated the market and represented significant revenue share in 2023, due to growing industrial automation along with a robust manufacturing hub are supplanting in Japan, China, South Korea and India. Furthermore, the robotic welding market outlook is driven by being an integral part of Industry 4.0 techniques. However, the region boasts a topnotch presence of its existing companies along with various registered and unregulated manufacturers which is further aiding in capturing the market.
Technological development is improving variety of robotic welders in the automotive transportation, shipbuilding, and electrical and electronics sectors, leading to a rise in demand for robotic welding in India. Electric vehicles and other automotive products, as well as electrical component manufacturing facilities development. For instance, In March 2023, Tesla announced a collaboration with KUKA to enhance its automated manufacturing processes at its Gigafactory in Texas. This partnership focuses on integrating advanced robotic welding systems to streamline production lines for electric vehicles. KUKA’s robots will be utilized for tasks such as body assembly and battery integration, aiming to improve efficiency and reduce manufacturing times. This initiative reflects the growing trend of deploying robotic welding systems across the automotive industry, further driving innovation and productivity in the sector.
With significance growth driven by the presence of key industry players in U.S., North America is expected to account for second largest market share. These companies are opting for huge investments in state-of-the-art automated systems rather than sticking to the conventional manual ones.
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The major Key Players are with their products
KUKA AG - KUKA KR AGILUS
FANUC Corporation - FANUC ARC Mate 100iD
ABB Ltd. - ABB IRB 6700
Yaskawa Electric Corporation - Yaskawa MOTOMAN MA2010
MOTOMAN Robotics - Yaskawa MOTOMAN-MH24
COMAU S.p.A. - COMAU Racer3
Panasonic Corporation - Panasonic TA1800
CLOOS GmbH - QINEO PULSE
EWM AG - EWM Taktis
Lincoln Electric Company - Lincoln Electric Robotic Welding Systems
Hyundai Robotics - Hyundai HSR Series
Stäubli Robotics - Stäubli TX2 Series
ESAB Corporation - ESAB Rebel EMP 215IC
Universal Robots A/S - UR10e
Daihen Corporation - Daihen HLR Series
TriStar Automation - TriStar Robot Welding Cell
Kawasaki Heavy Industries, Ltd. - Kawasaki K-Rex
Nachi-Fujikoshi Corp. - Nachi MZ Series
Toshiba Machine Co., Ltd. - Toshiba Machine Robot Series
SABER Technologies - SABER Robotic Welding Solutions
B2B user
1. Audi
2. Tesla
3. Boeing
4. Honda
5. Ford
6. Ferrari
7. Panasonic Automotive
8. Volkswagen
9. Siemens
10. General Motors
11. Hyundai Motor Company
12. Nestlé
13. Caterpillar
14. Universal Robots Applications
15. Daikin
16. Boeing
17. Kawasaki Motors
18. Mazda
19. Hitachi
20. Lockheed Martin
October 2023: Yaskawa unveiled a new series of robotic arms designed for heavy-duty welding tasks, providing increased payload capacity and improved flexibility.
August 2023: KUKA launched its new welding robots equipped with AI technology, enhancing precision and efficiency in welding operations.
July 2023: FANUC introduced a new range of collaborative robots specifically designed for welding applications, featuring advanced safety measures for human-robot collaboration.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 7.0 Billion |
| Market Size by 2032 | USD 13.2 Billion |
| CAGR | CAGR of 7.42% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Payload Capacity (Low (6-22 kg), Medium (30-60 kg), High (80-300kg)) • By Type (Arc, Spot, MIG/TIG, Laser, Others) • By Industry (Automotive,Aerospace & Defense, Construction, Mining, Oil & Gas, Railway & Shipbuilding, Electrical & Electronics, Others (Steel Plant, Wind Turbines, etc.)) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | KUKA AG, FANUC Corporation, ABB Ltd., Yaskawa Electric Corporation, MOTOMAN Robotics, COMAU S.p.A., Panasonic Corporation, CLOOS GmbH, EWM AG, Lincoln Electric Company,Hyundai Robotics |
| Key Drivers | • Industries seek to enhance productivity and efficiency through automation, leading to higher adoption of robotic welding solutions. • Robotic welding provides consistent and high-quality welds, reducing defects and rework, which is crucial for manufacturing excellence |
| RESTRAINTS | • A shortage of skilled workforce to operate and maintain advanced robotic systems can hinder adoption. • The integration of robotic welding solutions into existing production lines can be technically challenging and time-consuming. |
Ans- Robotic Welding Market was valued at USD 7.0 billion in 2023 and is expected to reach USD 13.2 Billion by 2032, growing at a CAGR of 7.42% from 2024-2032.
Ans- the CAGR of Robotic Welding Market during the forecast period is of 7.42% from 2024-2032.
Ans: The Asia Pacific dominated the market and represented significant revenue share in 2023
Ans: one main growth factor for the Robotic Welding Market is
Industries seek to enhance productivity and efficiency through automation, leading to higher adoption of robotic welding solutions.
Ans- Challenges in Robotic Welding Market are
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Robotic Welding Technologies
5.2 Robotic Welding Applications, by Industry
5.3 Technological Advancements in Welding Robotics (2020-2023)
5.4 Environmental and Safety Regulations Impact
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Robotic Welding Market Segmentation, By Type
7.1 Chapter Overview
7.2 Arc
7.2.1 Arc Market Trends Analysis (2020-2032)
7.2.2 Arc Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Spot
7.3.1 Spot Market Trends Analysis (2020-2032)
7.3.2 Spot Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 MIG/TIG
7.4.1 MIG/TIG Market Trends Analysis (2020-2032)
7.4.2 MIG/TIG Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Laser
7.5.1 Laser Market Trends Analysis (2020-2032)
7.5.2 Laser Market Size Estimates and Forecasts to 2032 (USD Billion)
7.6 Others (Plasma etc.)
7.6.1 Others (Plasma etc.) Market Trends Analysis (2020-2032)
7.6.2 Others (Plasma etc.) Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Robotic Welding Market Segmentation, by Payload Capacity
8.1 Chapter Overview
8.2 Low (6-22 kg)
8.2.1 Low (6-22 kg) Market Trends Analysis (2020-2032)
8.2.2 Low (6-22 kg) Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Medium (30-60 kg)
8.3.1 Medium (30-60 kg) Market Trends Analysis (2020-2032)
8.3.2 Medium (30-60 kg) Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 High (80-300kg)
8.3.1 High (80-300kg) Market Trends Analysis (2020-2032)
8.3.2 High (80-300kg) Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Robotic Welding Market Segmentation, by End-Use
9.1 Chapter Overview
9.2 Automotive
9.2.1 Automotive Market Trends Analysis (2020-2032)
9.2.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Aerospace & Defense
9.3.1 Aerospace & Defense Market Trends Analysis (2020-2032)
9.3.2 Aerospace & Defense Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Construction
9.4.1 Construction Market Trends Analysis (2020-2032)
9.4.2 Construction Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Mining
9.5.1 Mining Market Trends Analysis (2020-2032)
9.5.2 Mining Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Oil & Gas
9.6.1 Oil & Gas Market Trends Analysis (2020-2032)
9.6.2 Oil & Gas Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Railway & Shipbuilding
9.7.1 Railway & Shipbuilding Market Trends Analysis (2020-2032)
9.7.2 Railway & Shipbuilding Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Electrical & Electronics
9.8.1 Electrical & Electronics Market Trends Analysis (2020-2032)
9.8.2 Electrical & Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 Others
9.9.1 Others Market Trends Analysis (2020-2032)
9.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.2.4 North America Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.2.5 North America Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.2.6.2 USA Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.2.6.3 USA Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.2.7.2 Canada Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.2.7.3 Canada Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.2.8.2 Mexico Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.2.8.3 Mexico Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.6.2 Poland Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.6.3 Poland Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.7.2 Romania Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.7.3 Romania Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.4 Western Europe Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.5 Western Europe Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.6.2 Germany Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.6.3 Germany Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.7.2 France Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.7.3 France Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.8.2 UK Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.8.3 UK Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.9.2 Italy Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.9.3 Italy Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.10.2 Spain Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.10.3 Spain Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.13.2 Austria Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.13.3 Austria Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.4 Asia Pacific Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.5 Asia Pacific Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.6.2 China Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.6.3 China Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.7.2 India Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.7.3 India Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.8.2 Japan Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.8.3 Japan Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.9.2 South Korea Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.9.3 South Korea Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.10.2 Vietnam Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.10.3 Vietnam Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.11.2 Singapore Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.11.3 Singapore Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.12.2 Australia Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.12.3 Australia Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.4 Middle East Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.5 Middle East Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.6.2 UAE Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.6.3 UAE Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.2.4 Africa Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.2.5 Africa Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Robotic Welding Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.6.4 Latin America Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.6.5 Latin America Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.6.6.2 Brazil Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.6.6.3 Brazil Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.6.7.2 Argentina Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.6.7.3 Argentina Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.6.8.2 Colombia Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.6.8.3 Colombia Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Robotic Welding Market Estimates and Forecasts, Type (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Robotic Welding Market Estimates and Forecasts, by Payload Capacity (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Robotic Welding Market Estimates and Forecasts, by End-Use (2020-2032) (USD Billion)
11. Company Profiles
11.1 KUKA AG
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 FANUC Corporation
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 ABB Ltd.
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Yaskawa Electric Corporation
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 MOTOMAN Robotics
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 COMAU S.p.A
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Panasonic Corporation
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 CLOOS GmbH
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 EWM AG
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Lincoln Electric Company
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
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Key Segments:
By Payload Capacity
Low (6-22 kg)
Medium (30-60 kg)
High (80-300kg)
By Type
Arc
Spot
MIG/TIG
Laser
Others (Plasma etc.)
By Industry
Automotive
Aerospace & Defense
Construction
Mining
Oil & Gas
Railway & Shipbuilding
Electrical & Electronics
Others (Steel Plant, Wind Turbines, etc.)
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REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
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With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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The Packaging Machinery Market size was valued at USD 46.2 Billion in 2023 and is now anticipated to grow to USD 73.09 Billion by 2032, displaying a compound annual growth rate CAGR of 5.23% during the forecast Period 2024-2032.
The Intelligent Flow Meter Market size was estimated at USD 6.88 Billion in 2023 and is expected to reach USD 11.98 Billion by 2032 at a CAGR of 6.38% during the forecast period of 2024-2032.
The Overhead Cranes Market size was valued at USD 5.24 Billion in 2023 and is expected to reach USD 8.68 Billion by 2032 and grow at a CAGR of 5.78% over the forecast period 2024-2032.
The Gas Leak Detector Market Size was valued at USD 5.06 Billion in 2023 and is now anticipated to grow to USD 8.84 Billion by 2032, displaying a compound annual growth rate (CAGR) of 6.4% during the forecast Period 2024-2032.
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