With the emergence and long-term Impact of COVID-19, Global Robotics in Shipbuilding Market to reach USD 1.85 Billion by 2030
Bizwit Research & Consulting LLP’s Recent Analysis on Global Robotics in Shipbuilding Market is poised to raise up to USD 1.85 Billion by 2030. Robotics in shipbuilding refers to the application of robotic systems and automation technologies in the construction and assembly of ships. It involves the use of advanced robotic tools, machinery, and computer-controlled systems to streamline and optimize various shipbuilding processes.
The integration of robotics in shipbuilding brings numerous benefits, including increased productivity, improved precision, enhanced worker safety, reduced construction time, and better overall quality of the vessels. It enables shipyards to optimize operations, streamline workflows, and meet the growing demands of the maritime industry. The Robotics in the Shipbuilding market is expanding because of factors such as increased usage of robotics to plug labor gap in the shipbuilding industry and increasing shipbuilding demand.
Geographically, the global Robotics in Shipbuilding market has been segmented into North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA). North America dominated the market in 2022 owing to factors such as an increase in shipbuilding activities in the region, rising investment in the adoption of automation technologies, and rising research and development projects in the region. Whereas, Europe is projected to grow significantly owing to factors such as the rising adoption of robotics technology in the industry, the rising development of new technologies in the region.
The global Robotics in Shipbuilding market is highly competitive owing to the presence of several key manufacturers such as ABB Group, The Fanuc Corporation, Comau S.p.A., Yaskawa America, Inc., Kuka AG, Sarcos Technology And Robotics Corp., and others.
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Key findings of the study suggest:
- Global Robotics in Shipbuilding Market is anticipated to grow with a healthy growth rate of more than 4.9% over the forecast period 2023-2030.
- In the Type segment, Articulated Robots emerged out as the leading market segment in 2022.
- In the Application segment, Handling emerged out as the leading market segment in 2022.
- North America is anticipated to drive regional growth owing to increase in shipbuilding activities in the region, rising investment in the adoption of automation technologies, and rising research and development projects in the region.
- Asia-Pacific is expected to grow at higher rate followed by North America during 2023-2030.
Bizwit Research & Consulting has considered following segments for the study:
Type:
- Articulated Robots
- Cartesian Robots
- SCARA Robots
- Cylindrical Robots
- Others
Application:
- Handling
- Welding
- Assembling
- Inspection
- Others
Lifting Capacity:
- Less than 500 kg
- 500 to 1000 kg
- Over 1000 kg
Regional Outlook
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- Rest of Euorpe
- Asia Pacific
- China
- India
- Japan
- Korea
- Australia
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
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Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. The company has a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. Bizwit incorporate big data, expert analysis, and huge industry database to deliver client focused business consulting reports. Our analysts perform unbiased measurement and assessment of market opportunities to comprehend detailed market forecast. Our team of key opinion leaders evaluates the market size, growth prospects, end-use, applications, value & supply chain and top vendors in the industry to help the clients to take conversant business decisions without any vague assumptions.
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