Robotic Vision Market
Report ID: SQMIG25E2183
Report ID: SQMIG25E2183
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Report ID:
SQMIG25E2183 |
Region:
Global |
Published Date: May, 2025
Pages:
194
|Tables:
94
|Figures:
71
Global Robotic Vision Market size was valued at USD 2.73 Billion in 2024 and is poised to grow from USD 2.97 Billion in 2025 to USD 5.92 Billion by 2033, growing at a CAGR of 9% during the forecast period (2026–2033).
One of the key drivers of the global robotic vision market is the dramatic progress in artificial intelligence (AI) and deep learning, which immensely enhances the abilities of machine vision systems. Conventional machine vision used rule-based algorithms, which did not allow flexibility when dealing with complex or unstructured environments. AI-based vision systems, on the other hand, use deep learning models to identify patterns, identify anomalies, and optimize object classification with unmatched accuracy.
This progress directly translates into higher adoption rates across sectors like manufacturing, logistics, and healthcare. For example, in manufacturing, vision systems powered by AI allow real-time quality inspection, detecting defects within milliseconds with very little human involvement. This not only enhances efficiency in production but also minimizes wastage and improves product uniformity. Likewise, in the logistics industry, automated vision systems in AI simplify sorting, inventory management, and robotics in warehouses by allowing accurate detection of objects and reading barcodes. With continuing advancements in AI, robotic vision systems become increasingly flexible, which leads to ubiquitous deployment and sustains market expansion.
The growing need for manufacturing and logistics automation, fueled by labor shortages, cost savings, and efficiency gain, is the key driver behind the growth in the robotic vision market. Companies are heading towards smart factories where robot vision plays a leading role in automating repetitive processes such as assembly, inspection, and handling of material.
This transition is directly resulting from increasing operational expenses and the demand for greater accuracy in production lines. For instance, in the automotive sector, robotic vision allows for automated assembly and welding with micron-level precision, minimizing defects and maximizing productivity. Similarly, in e-commerce-based logistics, robotic vision assists in high-speed sorting and packaging, enhancing order fulfillment rates. This trend continues to gain momentum as businesses attempt to increase operational resilience and competitiveness through automation.
In which Industries is AI-Driven Robotic Vision Making an Impact?
AI is revolutionizing the global robotic vision market by enabling machines to process visual data with human-like intelligence. Traditional rule-based vision systems struggle with variations in lighting, angles, and object complexities. The robotics scene has very little understanding regarding deep learning and neural network-algorithmic approaches, particularly applied with respect to the creation of AI vision. The most direct implication would be the higher efficiency of applications such as defect detection, navigation autonomy, and so on, coupled with real-time decision-making processes applied in the spaces of manufacturing and logistics.
One of the most important developments is NVIDIA's AI-driven vision solutions, which combine GPU acceleration and deep learning models to improve object recognition, making robotic systems more efficient, flexible, and able to operate with minimal human intervention.
A recent development in the global robotic vision market is Google's launch of two advanced AI models, Gemini Robotics and Gemini Robotics-ER, on March 12, 2025. The models are built to empower robots across a wide range of industries. Gemini Robotics combines vision, language, and action to allow robots to execute physical tasks, while Gemini Robotics-ER provides high-level spatial knowledge and reasoning capabilities, enabling intricate program development. This project helps foster the rapidly growing robotics industry with flexible solutions for industrial equipment and humanoid robots.
How are Startups Contributing to the Robotic Vision Industry?
The global robotic vision market share is growing at a rapid pace due to advancements in machine learning and artificial intelligence. The leadership in this advancement comes from new entrants that are building out-of-the-box solutions for enabling better perception and autonomy for robots. The upstart companies are solving problems in multiple industries ranging from manufacturing to logistics by plugging next-generation vision systems onto robotic platforms.
Founded in 2019, CynLr, which stands for Cybernetics Laboratory, is a Bengaluru-based deep-tech firm that focuses on visual object intelligence for industrial robots. The firm seeks to endow robots with human-like visual perception, allowing them to manipulate objects they have never seen before. CynLr's flagship offering is a robotic system endowed with advanced visual intelligence. This system allows robots to grasp any object without prior training, adapt to various orientations, and function effectively in unstructured environments. By considering parameters beyond color—such as weight, texture, depth, and shape—the system provides true vision, not just sight, to robots. CynLr has created a distinctive hardware stack complemented with an advanced software layer that replicates human vision processing. Through this innovation, robots can learn tasks by watching humans do it, making them more flexible and efficient in dynamic industrial environments. With this technology, CynLr overcomes the constraints of conventional machine vision systems, opening the gates to more adaptable and smart robotic applications.
Established in the year 2019, Akasha Imaging is a startup focused on revolutionizing industrial manufacturing through AI-driven robotic vision. The firm tackles some of the perception challenges of robotics, especially on materials such as glass and clear plastics, materials that have often been hard to process for vision systems. Akasha ClearSight Deep Imaging System is one that is specifically made to be effective under numerous factory lighting settings and with heterogeneous materials, such as transparent materials. Utilizing various modalities of light as well as other filters, the system provides sub-millimeter accuracy, such that robots may manipulate small pieces with precision. Akasha's patented AI vision technology fuses multiple spectra and perspectives of light to bypass shortcomings of current vision systems. Utilizing this system, it becomes possible to pinpoint spatial locations as well as orientation of parts to a high level of accuracy even when made out of optically difficult materials. The outcome is increased automation potential in assembly operations, minimizing dependence on formal environments and manufacturing efficiency.
Established in 2025, Deepnight is a startup by ex-Google employees Lucas Young and Thomas Li that is working to create affordable AI-based night vision technology for the military. Deepnight's mission is to bring sophisticated night vision capability within reach by using AI to drive down costs and enhance performance. Deepnight's pioneering solution combines low-light cameras and AI-powered image processing to enable better night vision through a simple smartphone. This technology lowers the price of night vision goggles from tens of thousands of dollars to about $2,000, which makes it more affordable for military and even civilian use. Through the integration of AI and low-light imaging, Deepnight has created a system that increases visual acuity in low-light environments without using costly conventional night vision devices. This technology not only reduces prices but also opens up new possibilities of using night vision technology in consumer devices and automotive systems due to its increased versatility and ease of use.
Market snapshot - 2026-2033
Global Market Size
USD 2.5 billion
Largest Segment
Industrial Automation
Fastest Growth
Logistics
Growth Rate
9.0% CAGR
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Global Robotic Vision Market is segmented by Component, Type, Application, End User and region. Based on Component, the market is segmented into Hardware and Software. Based on Type, the market is segmented into 2D Vision Systems, 3D Vision Systems, LIDAR Systems and Machine Vision Cameras. Based on Application, the market is segmented into Industrial Automation, Agriculture, Healthcare, Logistics and Mining. Based on End User, the market is segmented into Automotive, Electrical & Electronics, Chemical, Rubber, & Plastic, Metals & Machinery, Food & Beverages, Precision Engineering & Optics, Pharmaceuticals & Cosmetics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Industrial automation is the leading application in the global robotic vision market due to its transformative impact on manufacturing, logistics, and quality control. Technologies like AI-based defect detection, real-time object tracking, and adaptive learning allow robots to work with accuracy in dynamic environments. Deep learning and sophisticated 3D vision systems enable machines to identify, inspect, and handle complex objects with less human intervention. This superiority is fueled by the demand for efficiency, cost savings, and high-quality production. With industries trending toward autonomous systems and smart factories, robotic vision goes on strengthening automation for frictionless operations and more productivity.
The logistics segment will be the fastest-growing in the robotic vision market across the globe on account of an increase in automation demand for warehouse, supply chains, and the last mile delivery. AI vision allows robots to move autonomously in intricate setups, optimize storage management, as well as maximize package sorting for increased efficiency at lower costs of operation.
2D vision systems dominate the global robotic vision market due to their cost-effectiveness, reliability, and widespread adoption across industries. The systems have high-density cameras and sophisticated image-processing algorithms to detect and inspect objects and mount robotic arms accurately. The use of emerging technology like AI-based image recognition and edge computing has enhanced their precision and speed, thus making them fit for applications such as quality control, bar-code reading, and automated assembly lines. Although 3D vision has started gaining traction, 2D systems remain the most common use due to their less complexity, easy integration, and fitness of application in high-speed manufacturing and logistics operation, assuring them in their market leadership over time to come.
3D vision systems are the fastest-growing segment in the global robotic vision market due to their ability to provide depth perception, object recognition, and spatial awareness. Some of the recent developments in the field of artificial intelligence or AI, LiDAR, and structured light technology now permit robots to perform complex tasks like bin picking, autonomous navigation, and precise assembly operations; henceforth, this makes it possible for the adoption of robots into many other industries such as logistics and manufacturing.
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North America leads the global robotic vision market due to strong industrial automation adoption, advanced AI research, and high investments in robotics. The U.S. leads the charge with advancements in manufacturing, logistics, and autonomous systems driven by technology giants such as NVIDIA and Google. Demand within the region for vision enabled by AI in smart factories, car production, and e-commerce shipping drives market growth forward. AI and robotics support from the government strengthens North America as a leader in robotic vision innovations.
The U.S. is a major contributor to the North America’s robotic vision market, driven by technological innovation, strong AI research, and high automation adoption in industries like manufacturing, logistics, and automotive. Companies like NVIDIA, Google, and Amazon are major spenders on AI-driven vision systems for industrial robotics and autonomous systems. Government investments in AI and robotics, along with a dynamic startup culture, also help boost development, making the U.S. a global robotic vision technology leader.
Canada is becoming a leading player in the North America’s robotic vision market, driven by AI-based research and automation efforts. Canada's robust robotics ecosystem, bolstered by organizations such as the University of Toronto and machine vision startups, enables innovation. Aerospace, healthcare, and agriculture industries increasingly use robotic vision solutions to improve efficiency. Government grants for automation and AI, as well as academia-industry partnerships, propel Canada's increasing dominance in the development of robotic vision.
Europe is a key player in the global robotic vision market, driven by strong automation adoption in industries like automotive, electronics, and logistics. Germany is ahead with the integration of cutting-edge robotics in manufacturing through Industry 4.0 plans. France and the U.K. highly invest in AI-enabled vision for intelligent factories and autonomous systems. The region's emphasis on sustainability and efficiency, combined with EU-funded R&D in AI and robotics, boost market growth and technology developments.
Germany is at the forefront of the Europe’s robotic vision market due to its robust industrial sector and Industry 4.0 drive. Industries such as Siemens and Bosch embed AI-driven vision systems into production, increasing automation and accuracy. The automotive industry, with BMW and Volkswagen among its key players, invests heavily in robotic vision for assembly and quality inspection. State-funded research in AI and robotics, coupled with pragmatic industry-academia partnerships, further solidifies Germany's leadership in robotic vision technology.
France is increasingly a part of the Europe’s robotic vision market, with a focus on AI-based automation in manufacturing, logistics, and healthcare. Firms such as Thales and Schneider Electric invest in vision-guided robots for industrial use. Government support, including France's AI strategy and robotics investments, fuels innovation. The nation's strength in computer vision and deep learning allows for innovation in autonomous systems, making France a leading player in Europe's growing robotic vision ecosystem.
The Asia-Pacific region is the fastest-growing in the global robotic vision market, fueled by speedy industrial automation, robust AI development, and government support. China leads the pack with high investments in smart manufacturing and AI-driven robotics, followed by Japan, which has a strong hold on precision robotics for automotive and electronics industries. South Korea and India are growing players, with investments in AI-based vision systems for logistics and healthcare. The region's rapid e-commerce, semiconductor, and automotive industries also drive robotic vision adoption.
South Korea is one of the key players in the Asia Pacific’s robotic vision market, due to its highly developed electronics, semiconductor, and automotive sectors. Firms such as Samsung and Hyundai incorporate AI-driven vision for accurate manufacturing and autonomous systems. The government encourages robotics with policies such as the "Intelligent Robot Development and Supply Promotion Act," promoting innovation. With robust investments in AI and smart factories, South Korea is driving the adoption of robotic vision in industrial automation and logistics.
Japan is also contributing to the Asia Pacific’s robotic vision market, known for high-precision automation across automotive, electronics, and healthcare industries. Firms like FANUC, Yaskawa, and Omron lead in developing AI-powered vision systems for industrial robots, increasing efficiency and precision. The government's Society 5.0 strategy encourages robotics and AI integration, stimulating innovation. Japan's mechatronics and deep learning-based vision system expertise make it a major contributor to worldwide robotic vision innovations.
The economy expansion of Indonesia is booming not only on its manufacturing but also logistics and e-commerce sectors which thereby increase the demand in the Asia Pacific’s robotic vision market. One government initiative that seems to encourage uses of automation and AI related to the textiles, automotive, and consumer goods sectors is Making Indonesian 4.0. Local startups and foreign investors have begun pioneering the hatch of innovations in vision-guided robotics for production and warehousing. These demands for sharper demand growth in smart automations and AI-driven logistics will position Indonesia as one of the regional significant countries in the Southeast Asian robotic vision market.
Singapore is one of the top robotic vision innovation hub, backed by robust government investment and AI research. The Smart Nation program encourages robotics and automation in manufacturing, healthcare, and logistics. ST Engineering and AI vision technology startups lead the development of autonomous systems. Singapore is a strategic player in robotic vision with a focus on AI-driven smart factories and high-precision automation, boosting productivity and efficiency in various industries.
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Rising Demand for Industrial Automation
Increasing Adoption of Collaborative Robots (Cobots)
Data Privacy and Security Concerns
Limited Performance in Unstructured Environments
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The global robotic vision market is highly competitive, with key players such as Cognex Corporation, Keyence Corporation, Omron Corporation, FANUC, Basler AG, NVIDIA, and ABB driving innovation. The companies concentrate on AI-enabled vision systems, deep learning, and edge computing to achieve improved accuracy and efficiency. Cognex invests in deep learning for defect inspection, and NVIDIA creates AI-fortified vision solutions for industrial automation. ABB combines robotic vision with smart manufacturing for enhanced productivity. Keyence focuses on high-speed image processing for real-time uses. Strategic alliances, R&D spending, and acquisitions are the major strategies adopted by these companies to keep themselves at the top.
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the global robotic vision industry is transforming through the influence of AI, deep learning, and automation. Manufacturing, logistics, and healthcare sectors are adopting AI-enabled vision systems for increasing precision, efficiency, and productivity. Fast-paced adoption of robotic vision is influenced by lack of labor resources, cost containment, and achieving operational resilience. Startups make significant contributions in bringing innovative technological breakthroughs with vision systems making them more dynamic and responsive.
Organizations such as CynLr, Akasha Imaging, and Deepnight are advancing robotic perception to new horizons that allow robots to operate in unstructured environments with human-like flexibility. In addition, the development of 2D and 3D vision systems continues to improve automation and quality control processes. As AI continues to develop, robotic vision will continue to transform industries, leading the market to unparalleled growth.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 2.73 Billion |
| Market size value in 2033 | USD 5.92 Billion |
| Growth Rate | 9% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Robotic Vision Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Robotic Vision Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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