Vision Guided Robotics Software Market to 2027 by Robot Type (Mobile Robot, and Fixed Robot), Technology (2D Vision Guided, and 3D Vision Guided), Application (Arc Welding, Assembly, Cutting, Palletizing & Machine Tending, Navigation, Random Bin Picking, Collaborative Robots, and Others), and Vertical (Automotive, Electrical & Electronics, Aerospace, Healthcare, Transportation & Logistics, Food & Beverages, and Others)

The global vision guided robotics software market accounted for US$ 1,148.9 Mn in 2018 and is expected to grow at a CAGR of 15.4% over the forecast period 2019–2027, to account for US$ 4,094.1 Mn in 2027. The manufacturers of robotic systems are focusing towards innovating and developing three dimensional vision technology (3D vision technology). The adoption rate of the 3D vision technology is rapidly increasing as compared to 2D vision technology. The new technology engages in usage of high end cameras and multiple sensors such as surrounding and positioning sensors, object detection scanner and light detection scanner among others.

Boosting demand of 3D Vision Guided Technology

By coupling these sensors with 3D time to flight scanner, it is easier to create 3D models of products within a box or on pallets in high imagery. The major advantage of 3D vision technology is that, this technology can be used on any surface and environment, enabling the robot to distinguish randomly placed objects and place it on the desired place. This procedure is known as bin picking or pick and place. One of the most prominent application of robots integrated with 3D vision technology is pick and place, which is changing the automation process in various industrial, and warehouse & logistic sectors.

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The global vision guided robotics software market accounted for US$ 1,148.9 Mn in 2018 and is expected to grow at a CAGR of 15.4% over the forecast period 2019–2027, to account for US$ 4,094.1 Mn in 2027. Automobile manufacturers are actively focusing on the integration of vision-equipped robotic systems to safeguard the correct placement of vehicle closures such as hoods, windshields, doors and trunk lids. The robots are installed across the production line to pick up and place everything accurately to install car parts from roof panels to windshields as well as load them onto the car body's framework. The vision system made it easy for the system designers to deploy car accurately and precisely.

Increase in the demand for VGR among various industries is projected to raise the deployment of vision guided robotics software

Companies such as Cognex introduced VisionPro 3D-Locate software and 3D displacement systems, that enables the end users to adopt 3D machine vision and utilize it for inspection works. Motoman Robotics developed MotoSight 3D CortexVision, which is a comprehensive, easy to integrate and power vision technology. This technology simplifies the usage of 3D vision in guided robotic application. The new technology by Motoman Robotics is ideal for object location in assembly lines, racking lines, dispensing lines, product sorting and welding workstations. Owing to the factors mentioned above, the market for vision guided robotics software is poised to grow significantly in the coming years. New technologies enable the robotic solution more compact and modular, resulting in higher accuracy while performing different tasks along with reducing the overall costs.

Some of the key players operating in vision guided robotics software market include ABB Ltd., Fanuc Corporation, Robotic Vision Technologies (RVT), LLC, iRobot Corporation, Pick-it N.V., Recognition Robotics Inc., Vision Nerf S.A., Nachi Robotic Systems, Inc., KUKA Robot Group, and many more.

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