Global Collaborative Robots Market was valued at USD 1.68 billion in 2022 and expected to grow at a CAGR of 5.6% during the forecast period.
Collaborative robots, also known as robots, are a type of robot designed to work alongside humans in a shared workspace. Unlike traditional industrial robots, which are typically large, heavy, and caged off from human workers, collaborative robots are designed to be safe, flexible, and easy to program.
One of the key features of collaborative robots is their ability to sense and respond to their environment. This is achieved through a combination of sensors, such as cameras and force sensors, and advanced algorithms that allow the robot to detect and avoid obstacles, and to collaborate with human workers in a safe and efficient manner. Collaborative robots are used in a wide range of applications, from manufacturing and assembly to healthcare and hospitality. They can perform a variety of tasks, such as picking and placing objects, packaging, painting, and welding, among others.
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One of the main advantages of collaborative robots is their ability to work alongside human workers, increasing productivity and efficiency while also improving safety and reducing the risk of workplace injuries. Collaborative robots can also be quickly reprogrammed to perform different tasks, making them highly versatile and adaptable to changing production needs. Overall, collaborative robots are a promising technology that is helping to reshape the way we work, by enabling humans and robots to work together in a safer, more productive, and more flexible way.
Covid-19 Impact:
Increased demand for automation: With social distancing and lockdown measures in place, many industries have had to rely more heavily on automation to maintain production and keep workers safe. This has led to an increased demand for collaborative robots in industries such as manufacturing, logistics, and healthcare.
Flexibility and adaptability: Collaborative robots have been able to quickly adapt to changing production needs and demands during the pandemic. This has allowed manufacturers to pivot production lines to produce critical medical supplies and equipment, such as face shields and ventilator components.
Remote monitoring and control: Collaborative robots have also enabled remote monitoring and control, which has been particularly useful during the pandemic when travel and on-site visits have been restricted. Remote monitoring and control can help to maintain and troubleshoot robotic systems without the need for on-site technicians.
Delays in supply chains: The pandemic has disrupted global supply chains, leading to delays in the delivery of components and materials needed for robotic systems. This has slowed down the deployment of collaborative robots in some industries.
Safety measures: Collaborative robots have been designed with safety features to work alongside humans safely. However, the pandemic has brought additional safety measures, such as enhanced cleaning protocols and social distancing requirements, which have impacted how collaborative robots are used and integrated into workplaces.
Market Dynamics:
Drivers:
Safety: One of the key drivers of collaborative robot adoption is safety. Collaborative robots are designed to work safely alongside human workers, reducing the risk of workplace injuries and accidents.
Flexibility: Collaborative robots are highly flexible and can be easily reprogrammed to perform different tasks, making them ideal for industries with changing production needs.
Efficiency: Collaborative robots can work 24/7, which helps to increase productivity and efficiency in manufacturing and other industries.
Cost-effectiveness: Collaborative robots are often more cost-effective than traditional industrial robots, which require expensive safety features and installation. Robots are also easy to program, which reduces the need for specialized technical skills and training.
Scalability: Collaborative robots can be easily scaled up or down to match production needs, making them ideal for both small and large-scale manufacturing operations.
Quality and Consistency: Collaborative robots can perform tasks with a high level of accuracy and consistency, leading to improved product quality and reduced waste.
Technological advancements: Advancements in artificial intelligence (AI), machine learning, and sensor technology have made collaborative robots more intelligent and capable of performing a wider range of tasks.
Market Segmentation:
By Payload Capacity
- Up to 5kg
- Up to 10kg
- Above 10kg
By Application
- Assembly
- Pick & Place
- Handling
- Packaging
- Quality Testing
- Machine Tending
- Gluing & Welding
- Others
By End-use
- Automotive
- Food & Beverage
- Furniture & Equipment
- Plastic & Polymers
- Metal & Machinery
- Electronics
- Pharma
- Others
By Geography
- North America
o U.S.
o Canada
o Mexico
- Europe
o U.K.
o Germany
o France
o Italy
o Spain
o Russia
- Asia-Pacific
o Japan
o China
o India
o Australia
o South Korea
o ASEAN
- Latin America
o Brazil
o Argentina
o Colombia
- MEA
o South Africa
o Saudi Arabia
o UAE
o Egypt
Key Player:
Some of the key players operating in the market are:
- ABB Group
- DENSO Robotics
- Epson Robots
- Energid Technologies Corporation
- F&P Robotics AG
- Fanuc Corporation
- KUKA AG
- MRK-Systeme GmbH
- Precise Automation, Inc
- Rethink Robotics, Inc
- Robert Bosch GmbH
- Universal Robots A/S
- Yaskawa Electric Corporation
- MABI Robotic AG
- Techman Robot Inc.
- Franks Emika Gmbh
- AUBO Robotics
- Comau S.p.A.
Regional Analysis:
North America: North America is one of the leading markets for collaborative robots. The region has a large number of small and medium-sized manufacturers that are looking to improve their production efficiency and quality. The United States is the largest market for collaborative robots in North America, followed by Canada and Mexico.
Europe: Europe is another leading market for collaborative robots, driven by the region’s strong manufacturing industry. Germany, the UK, France, Italy, and Sweden are the largest markets for collaborative robots in Europe. The region is also home to many collaborative robot manufacturers, such as Universal Robots, KUKA, and ABB.
Asia Pacific: The Asia Pacific region is expected to be the fastest-growing market for collaborative robots. The region’s growing manufacturing industry and increasing demand for automation are driving the adoption of collaborative robots. China is the largest market for collaborative robots in Asia Pacific, followed by Japan and South Korea.
Rest of the World: The rest of the world, including Latin America, the Middle East, and Africa, is also seeing an increasing demand for collaborative robots. The adoption of cobots in these regions is driven by the growing industrialization and automation of production processes.
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Key Points:
- Define, describe and forecast Collaborative robots market by type, application, end user and region.
- Provide strategies for company to deal with the impact of COVID-19.
- Provide enterprise external environment analysis and PEST analysis.
- Provide market dynamic analysis, including market driving factors, market development constraints.
- Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy analysis.
- Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy.
- Provide market entry strategy analysis for new players or players who are ready to enter the market, including market segment definition, client analysis, distribution model, product messaging and positioning, and price strategy analysis.
- Keep up with international market trends and provide analysis of the impact of the COVID-19 epidemic on major regions of the world.
- Analyze the market opportunities of stakeholders and provide market leaders with details of the competitive landscape.
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