Robotic Vision Market 2024 – Market Size & Segments Analysis, Industry Trends, Manufacturers Analysis, Opportunities and Forecast 2034

The robotic Vision also known as machine Vision, is a technology which allows the robots to perceive their surroundings and interact with the physical world. It uses combination of camera and Vision technology like 2D, 3D and 4D Vision technologies with computer algorithms including contour-based, correlation-based, feature Extraction, cloud of points, in order to process visual data, It helps them to follow instructions and helps in completing the task like welding & soldering, assembling & disassembling, cutting, pressing, grinding, and deburring, measurement, inspection and testing, identification & feature extraction, material handling, painting and other. It finds applications in vast industries ranging from automotive to healthcare sector.

MARKET OVERVIEW

The market valuation of robotic Vision market was valued at approximately USD 2.8 billion in 2023 and is projected to reach USD 6.1 billion in 2034 exhibiting a CAGR of 9.8% during the forecast period of 2024-2034. Robotic Visions are technology that enables robots to process and integrate visual data from the surrounding environment. The market is aligned with diverse sectors, which makes it a sustainable and growing market.

GROWTH DRIVERS

The AI & ML advancements significantly enhances the robotic Vision system capabilities in processing and analyzing complex visual data. The integration of deep learning algorithms enables the robots to recognize patterns to make decisions and adapt to new environments with greater accuracy. According to the Stefanini, three interconnected fields including machine learning, artificial intelligence (AI), and robotics are transforming the world around us. The synergy enables the development of intelligent, adaptable, and autonomous machines that can perform a wider range of tasks than ever before.

The machine learning enables robots to see and understand their surroundings. By analyzing images and videos from cameras, robots can identify objects, track their movements, and make decisions based on visual information. Robots can now identify and interact with objects in their environment with greater precision and dexterity. The increasing adoption in manufacturing and automation, where robotic Vision is used for quality control, inspection and assembly tasks. The precision and reliability of Vision systems help reduce errors and improve the production efficiency, which is one of the significant drivers of the market. According to the International Federation of Robotics (IFR), the manufacturing companies in the United States have invested heavily in more automation.

The total installations of industrial robots rose by 12% and reached 44,303 units in 2023. The number one adopter is the car industry followed by the electrical and electronics sector. The autonomous vehicles relies heavily on robotic Vision system for navigation, obstacle detection and traffic management. The more the market for autonomous vehicle expands, the demand for advanced Vision technology increases contributing towards market growth. According to Statista, it is estimated that 1.4 million vehicles with at least Level 3 autonomy were sold worldwide and by 2030, the global sales of these vehicles are projected to reach a value of around 58 million units.

According to McKinsey, the autonomous driving could create around USD 300 billion to USD 400 billion in revenue, by 2035. In healthcare sector, the robotic Vision systems are used in surgical robots, diagnostic devices and rehabilitation equipments. These systems enhances the precision by reducing human error and improves patient outcomes. According to Infosys, the automation in healthcare sector helps in numerous workflows including case management, patient wellness, remote monitoring and managing and coordinating with employees and much more.

MARKET SEGMENTATION:

·         By Type – 2D Vision systems, 3D Vision systems (Single & Multi-camera Triangulation, Time of Flight (ToF), Laser-based, Stereo Vision, Structured Light) 4D Vision Systems

·         By Detection Algorithm- Contour-Based, Correlation-Based, Feature Extraction, Cloud of Points

·         By Offerings – Hardware (Lighting, Processors & Controllers, Frame Grabbers, Cameras Optics Other Hardwares), Software (Traditional Software, Deep Learning Software) and Services

·         By Application- Welding & Soldering, Assembling & Disassembling, Cutting, Pressing, Grinding, and Deburring, Measurement, Inspection and Testing, Identification & Feature Extraction, Material Handling, Painting and other Applications

·         By End-User- Automotive, Electronics and Semiconductors, Aerospace and Defense, Food and Beverage, Pharmaceutical and Healthcare, Security and Surveillance and Other End-User Industries

·         By Region- North America, Europe, Asia Pacific, The Middle East and Africa, South America

Robotic Vision Market Segment By Level of Type Review:

The 2D System flat images and are widely used for applications that require basic image processing and analysis. They are simpler and less expensive than 3D and 4D systems. It is utilized for detecting defects, misalignments, and service flaws in manufacturing. It is essential for reading and processing barcodes and QR codes in logistics and retail.

The 3D Vision systems provide depth information along with 2D images which makes them suitable for complex applications. The single and multi-camera triangulation uses multiple cameras placed at different angles to triangulate the 3D position of the objects. The time of flight measure the time it takes for a light signal to travel to an object and back to determine distance. The laser-based 3D systems uses laser beams to scan the environment and create a detailed 3D map. The stereo Vision mimics human binocular Vision by using two cameras to provide depth.

The structured light projects a known pattern like grids or stripes onto a surface and analyzes the deformation of the pattern to reconstruct 3D shapes. The 4D Vision systems add the dimensions of time to 3D Vision, capturing changes in objects and involvements overtime. This capability is essential for dynamic analysis and monitoring. It is widely used in sport science, biomechanics, and animation to analyze movements.

Robotic Vision Market Segment By Detection Algorithm Review:

The contour dictation algorithms focuses on identifying the outlines or edges of the objects within an image. These algorithms detect the boundaries of objects by analyzing changes in the pixel intensity and identifies continuous curves that represents the edges. It is used in manufacturing and packaging industries. The correlation-based detection algorithms compares portions of an image with predefined templates or patterns. The algorithm then calculates the correlation between the template and the image to find matches.

It is useful in detecting specific patterns or features in images like barcode or logos. The feature extraction algorithms identifies and describes significant features or key points within an image, including edges, corners, textures, and specific patterns. The cloud of points detection algorithm generates a set of data points in a coordinate system, which represents the external surface of an object or scene. These objects are typically obtained from 3D sensors like Lidar or structured light. It is used in autonomous vehicles and drones for creating detailed through the maps of the environment.

Robotic Vision Market Segment By Offerings Review:

The hardware segment of the robotic Vision system consists of lighting, processors & controllers, frame grabbers, camera optics and others, each utilized for specific purpose and property. The lighting segment includes LED lights, ring lights, bar lights and dome lights, that are essential for ensuring proper illumination of objects and scenes, which enhances the image quality and accuracy of detection. The processors and controllers include CPUs, GPUs, FGPAs, and dedicated Vision processors to process the captured visual data and execute algorithms.

The frame grabbers captures image data from cameras and transfer it to processors for further analysis. The camera captures images and videos that serves as the primary input for the Vision systems. The optics includes the lenses and the other optical components that focuses and directs light onto the camera sensor. The software segment includes traditional software & deep learning software where the traditional software uses classical image processing algorithms for tasks like edge detection, pattern recognition, and image segmentation.

By utilizing libraries and toolkits like OpenCV, HALCON and Matrox imaging library. The deep learning software utilizes neural networks and machine learning techniques to learn from the data and make intelligent decisions. It is effective in complex tasks like facial recognition, autonomous navigation and defect detection. The the research segment includes installation and maintenance training and consulting, which ensures the effective deployment and operation of robotic Visions system.

Robotic Vision Market Segment By Application Review:

The robotic Vision solution plays a crucial in automating welding and soldering process, ensuring the precision, quality and safety in various industries like automotive, electronics, aerospace and shipbuilding. These systems are essential for automating assembly and disassembly process which enhances the efficiency and reducing errors in the manufacturing. The system enhances the precision and efficiency of cutting, pressing, grinding and deburring operations across various industries tasks like metalworking, woodworking, and more.

It is a vital part for measurement, inspection and testing applications which ensures products meets stringent quality standards, like verifying the placement and quality of components on PCBs in the electronics sector. It ensures inspecting, packaging and labeling for compliance with safety standards in the food and beverage sector. The identification and feature extraction utilizes robotic Vision systems for identifying objects and extracting features in manufacturing, logistics, retail and security sectors.

The robotic Vision systems enables precise and efficient material handling, improving the automation in various industries like in warehouses, where it automates the storage and retrieval of goods. In the painting process, it ensures and quality in various industries like painting, car and parts with precision and consistency in the automotive sector. It is also utilized in the application of coatings to aircraft components in the aerospace sector and painting of products like appliances, furniture and toys in the consumer goods sector.

Robotic Vision Market Segment By End-User Review:

In the automotive sector, they are extensively used for assembly line automation, welding, inspection and painting, for ensuring high precision and quality. In the electronics and semiconductor, they ensure accurate placement and soldering of tiny components on the PCBs, they inspect PCBs for defects and detect defects in silicon wafers. In the aerospace and defense, they ensure accurate assembly, guide welding and machining processes. They inspect the parts for defects and assist on also assist in maintenance and repair of aircraft and defense equipment's.

In the food and beverage industry, they improve the efficiency and safety by automating the packaging, sorting, inspection, and labeling processes. In the pharmaceuticals and healthcare, it ensures precision in drug manufacturing, quality control, surgical assistance, and patient monitoring. They are also utilized in security and surveillance for enhancing capabilities through facial recognition, intrusion detection, crowd monitoring, and vehicle surveillance.  

Robotic Vision Market Regional Analysis:

North America is a valuable market driven by the factors like presence of tech, Silicon Valley, the technological and innovation hub and robotics and AI located in United States. The presence of market key players like NVIDIA and Intel coupled with high adoption in the manufacturing and automotive industries. For instance, according to IFR reports, the automotive industry in North America is one of the major adopters of robotic Vision system. Europe is another valuable market driven by the presence of well-established and robust automotive manufacturing hub with the companies like Volkswagen and BMW. The region’s Industry 4.0 which states about integrating robotic Vision into smart manufacturing processes.

Asia Pacific is one of the leading and rapidly growing market driven by rapid industrialization and automation in countries like China, Japan, South Korea, which drives the significant demand for the market. The region is known as the manufacturing hub for electronics and manual semiconductor manufacturing which creates a high demand for the market for precision and inspection. The Middle East and Africa is a growing market driven by the presence of robust oil and gas sector which creates demand for the market for inspection and monitoring facilities. South America market is expected to grow due to region strong agriculture sector and mining activities which creates demand for the market for precision farming and inspection for enhancing mining operations.

Key Challenges:

The robotic Vision systems collects and process large amounts of data, which raises concerns about data privacy and protection. The compliance with data protection regulations like GDPR in Europe may be complex and costly. The implementation of robotic Vision systems requires specialized technical knowledge and expertise. The companies may face difficulties in finding skilled personnel to operate and maintain these systems. The integration of robotic Vision systems with existing manufacturing and operational systems may be complex and time consuming the incompatibility issues and the need for custom solutions may increase the cost and time required for the implementation, which may hinder the market growth

Competitive Landscape:

In the highly competitive Robotic Vision market, companies are investing heavily in research and development to innovate and improve the product and services. They are also collaborating, forming strategi partnerships, or acquiring other companies to gain access to new market segments, enhance distribution networks, and increase market share. Recent developments includes – Cognex Corporation launched Advantage 182 Vision system, in May 2023. Cognex Corporation launched In-Sight 3800 Vision System. Teledyne launched Sapera Vision Software Edition, in March 2023. NVIDIA, launched 'ISAAC Sim', software platform for simulating and testing robotic Vision systems in virtual environments, in October 2023. Cisco acquired Splunk organization, for providing a more secure and resilient AI-powered system, in September 2023. Google launched first Vision-language-action model for robot control displays improved generalization and semantic and visual understanding, in July 2023.  

Global Key Players:

·         Qualcomm Technologies, Inc.

·         Keyence Corporation

·         FANUC Corporation

·         ABB Group

·         Sick AG

·         Hexagon AB

·         OMRON Corporation

·         Advantech

·         ISRA Vision

·         Xenics NV

·         Cognex Corporation

·         Other Players

Attributes	Details
Base Year	2023
Trend Period	2024 – 2034
Forecast Period	2024 – 2034
Pages	215
By Type	2D Vison systems, 3D vision systems (Single & Multi-camera Triangulation, Time of Flight (ToF), Laser-based, Stereo Vision, Structured Light) 4D Vision Systems
By Detection Algorithm	Contour-Based, Correlation-Based, Feature Extraction, Cloud of Points
By Offerings	Hardware (Lighting, Processors & Controllers, Frame Grabbers, Cameras Optics Other Hardwares), Software (Traditional Software Deep Learning Software) Services
By Application	Welding & Soldering, Assembling & Disassembling, Cutting, Pressing, Grinding, and Deburring, Measurement, Inspection, and Testing, Identification & Feature Extraction, Material Handling, Painting and other Applications
By End-User	Automotive, Electronics and Semiconductors, Aerospace and Defense, Food and Beverage, Pharmaceutical and Healthcare, Security and Surveillance and Other End-User Industries
By region	North America, Europe, Asia Pacific, the Middle East and Africa, and South America
Company Profiles	Qualcomm Technologies, Inc., Keyence Corporation, FANUC Corporation, ABB Group, Sick AG, Hexagon AB, OMRON Corporation, Advantech, ISRA Vision, Xenics NV, Cognex Corporation, Other Players
Edition	1st edition
Publication	June 2024