The Global Robotic Vision Market size is expected to reach $3.8 billion by 2028, rising at a market growth of 9.3% CAGR during the forecast period.
Robot vision refers to a robot's ability to visually detect its surroundings and use that knowledge to perform various tasks. For robot navigation and obstacle avoidance, visual input has been widely used. In recent years, there have also been examples of communicating with humans and item manipulation. Specialists examine some of the work that has gone beyond using artificial landmarks and calibration markers to create vision-based control in robots in this study. It goes over many application areas from a systems perspective as well as specific difficulties like object tracking and recognition.
For scholars and professionals working in the domains of machine vision, image processing, and pattern recognition, Vision in Robotics is an ideal and up-to-date resource. Its comprehensive bibliography is a significant resource for the current study.
Robots are blind technologies that operate as per their programming without robotic vision. They strictly adhere to the coding that defines their functions, making them suitable for repetitive activities that are physically demanding and difficult for humans. Now that Industry 4.0 has here, robots are evolving as well. It would allow companies to stay up with the fourth industrial revolution's demands and tendencies. The development of a robot vision system for collaborative robots is important to the advancement of robotics. Machine or robot vision is a major component of this progress, allowing clever automated operations to achieve new levels of precision and accuracy.
COVID-19 has had a significant impact on all industries and the global economy. Lockdowns have been ordered around the world to stop its spread. In the early stages of the pandemic, the complete lockdown severely disrupted the livelihoods and quality of life of many people around the world. Therefore, supply chains have been disrupted throughout the world. A significant drop in product demand has negatively affected the world's economies. A lack of basic materials has resulted from the pandemic, mainly due to a drop-in exports and supply chain disruptions.
Industrial quality control is an important procedure, and increasing it may usually help a company minimize waste and increase efficiency. Extending quality control is frequently a labor-intensive and difficult-to-automate operation. While adding additional quality checks to a manufacturing process is normally desired, allocating labor to these checks is not always feasible. Human workers make mistakes as well, particularly when the labor is monotonous or repetitive. Some sorts of visual inspection, such as ensuring that each bottle in the manufacturing line is filled to a given point, might be extremely difficult for a human operator to repeat with accuracy over and over again.
Some vision systems are built right into robot arms, while others require direct attachment to a robot wrist or arm to function properly. The systems that can be put outside, apart from robot are the perfect choices, to increase the number of possible deployment scenarios. A well-placed externally mounted camera, for example, might be used to check on the state of the equipment affecting food goods, allowing to time cleaning procedures more precisely. External mounting not only avoids the problem of wires running alongside the robot, but also enhances cycle time. The robot can work on something else while the vision system captures and processes images.
Considering the current industrial progress, integrating robot arms with robotic vision is a difficult task. If the end client does not have sufficient engineering expertise, professional system integrator assistance would be required. Precision and cycle time would be given top priority while evaluating the viability of automation needs. The predicted production cycle can be used to evaluate production capacity and compute the return on investment, and sufficient precision can ensure the correctness of each step (ROI). Whenever a target is positioned using vision, many factors influence accuracy rate, including picture quality, placement algorithm, hand-eye relationship correction errors, camera lens correction errors, arm repeating precision, absolute accuracy, and so on, which can only be effectively evaluated by experienced robot vision technicians.
Based on Component, the market is segmented into Hardware and Software. The Hardware segment acquired the largest revenue share in the robotics vision market in 2021. It is due to the number of components in a robotics vision system, including lighting, lenses, image sensors, vision processing, and communication. Using lighting, the camera is able to see clearly the features of the part being examined. A robotics vision camera's sensor converts light into a digital photo, which is then sent to a processor. The sensor captures light from the lens and delivers it to the sensor.
Based on Application, the market is segmented into Material Handling, Packaging & Palletizing, Assembling & Disassembling, Painting, Cutting, Pressing, Grinding, & Deburring, Welding & Soldering, and Measurement, Inspection, & Testing. The Packaging & Palletizing segment recorded a substantial revenue share in the robotics vision market in 2021. It is due to the process of loading an object, such as a corrugated box, in a predetermined arrangement onto a pallet or similar equipment. Depalletizing is the process of unloading a loaded object in the opposite direction. Many industries and businesses now use some sort of palletizing robot technology to automate their operations. Robotic palletizing technology boosts productivity and profits while allowing for greater product flexibility and longer run times.
Based on Industry, the market is segmented into Electrical & Electronics, Metals & Machinery, Precision Engineering & Optics, Automotive, Pharmaceuticals & Cosmetics, Food & Beverages, Chemical, Rubber, & Plastic, and Others. The Electrical & Electronics system procured the highest segment revenue share in the robotics vision market in 2021. Through non-tactile sensing, vision is utilized to find electronic components and perform testing and inspection. Electronic gadgets are tracked by robot controllers as they go through the production line." In electronics and semiconductor work cells, tool changers help robots multitask better.
Based on Type, the market is segmented into 2D Vision Systems and 3D Vision Systems. The 3D vision system segment registered a substantial revenue share in the robotics vision market in 2021. It is due to the pick and place applications utilization of 3D robotic vision. Even though the position and location of the parts vary, 3D vision allows a robot to determine the direction of a part that has to be handled more effectively. Part assembly and inspection are another prominent use of 3D vision in robotics. A 3D vision system can precisely direct a robotic arm during assembly, and a robotic arm can provide a 3D camera with numerous viewing angles for important assembly inspection.
Based on Deployment, the market is segmented into Robotic Guidance Systems and Robotic Cells. The Robotic Guidance Systems segment acquired the highest revenue share in the robotics vision market in 2021. It is due to the employing 3D vision systems developed for object detection and recognition is a critical component of industrial production process optimization. SICK's robot guiding systems make it simple and affordable for users to make use of this advanced technology. The systems are distinguished by their dependable and user-friendly design. They can easily be integrated into current surroundings, give high-precision measurement findings, and so play an important role in making part management more adaptable than ever before.
| Report Attribute | Details |
|---|---|
| Market size value in 2021 | USD 2.1 Billion |
| Market size forecast in 2028 | USD 3.8 Billion |
| Base Year | 2021 |
| Historical Period | 2018 to 2020 |
| Forecast Period | 2022 to 2028 |
| Revenue Growth Rate | CAGR of 9.3% from 2022 to 2028 |
| Number of Pages | 364 |
| Number of Tables | 583 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Competitive Landscape, Companies Strategic Developments, Company Profiling |
| Segments covered | Component, Application, Industry, Type, Deployment, Region |
| Country scope | US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria |
| Growth Drivers |
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| Restraints |
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Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. The Asia pacific region dominates the largest revenue share in the robotics vision market in 2021. China will have the highest share of the APAC smart robotics market by 2020. The production value of service robots in Shenzhen climbed by 21.79 percent year on year to almost USD 5.06 billion in 2018, according to the 2018 white paper on Shenzhen's Robot Industrial Development. For the first time, China's government designated service robots as a significant area for development in its 12th Five-Year Plan, which was released in 2011. A robot named Youxiaomei served attendees with water and tea during the 7th China Information Technology Expo in 2019. China is the world's largest automobile manufacturer, according to the International Organization of Motor Vehicle Manufacturers (OICA), with Japan importing the most vehicles. As a result, industrial robots are in high demand.
Free Valuable Insights: Global Robotic Vision Market size to reach USD 3.8 Billion by 2028
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; FANUC Corporation and Keyence Corporation are the forerunners in the Robotic Vision Market. Companies such as Cognex Corporation, Omron Corporation and Hexagon AB are some of the key innovators in the Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Cognex Corporation, ISRA Vision AG, Basler AG, Omron Corporation, National Instruments Corporation, Teledyne Technologies, Inc. (Teledyne DALSA), Keyence Corporation, FANUC Corporation, Hexagon AB, and Sick AG.
By Component
By Application
By Industry
By Type
By Deployment
By Geography
The global robotic vision market size is expected to reach $3.8 billion by 2028.
Accessibility and versatility of the robotics visions are increasing are driving the market in coming years, however, robot vision connectivity difficulties and initial cost growth of the market.
Cognex Corporation, ISRA Vision AG, Basler AG, Omron Corporation, National Instruments Corporation, Teledyne Technologies, Inc. (Teledyne DALSA), Keyence Corporation, FANUC Corporation, Hexagon AB, and Sick AG.
The Material Handling segment acquired maximum revenue share in the Global Robotic Vision Market by Application 2021, thereby, achieving a market value of $1.1 billion by 2028.
The Metals & Machinery segment has shown growth rate of 9.9% during (2022 - 2028).
The Asia Pacific is the fastest growing region in the Global Robotic Vision Market by Region 2021, and would continue to be a dominant market till 2028.
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