Get more information on Robotic Vision Market - Request Sample Report
The Robotic Vision Market Size was valued at USD 2.62 Billion in 2023 and is expected to reach USD 5.73 Billion by 2032 and grow at a CAGR of 9.13% over the forecast period 2024-2032.
The robotic vision market is a rapidly growing sector that integrates robotics, artificial intelligence (AI), and computer vision to empower machines with the ability to perceive, interpret, and interact with their environments. This technology is a cornerstone of industrial automation and is witnessing accelerated adoption across diverse industries. One of the primary growth drivers is the increasing demand for automation in industrial manufacturing, where over 3.4 million industrial robots are in use globally as of 2024. With a global robot-to-human ratio of 1:71 in manufacturing and industrial companies dedicating 25% of their capital to automation, the robotic vision market is poised for exponential growth. In manufacturing, robotic vision systems play a critical role in quality control and assembly lines. These systems inspect products for defects, measure dimensions, and ensure consistent production quality. By reducing human error and enhancing productivity, robotic vision significantly optimizes manufacturing processes. For example, in the automotive industry, robotic vision ensures high standards by inspecting welds, detecting paint flaws, and assisting in the assembly of intricate components. These applications not only minimize wastage but also help maintain stringent production standards, fueling the growth of the robotic vision market.
Beyond manufacturing, the adoption of robotic vision is transforming retail and logistics. In warehouses, vision-guided robots streamline operations by identifying and picking items, sorting packages, and managing inventory. These innovations improve supply chain efficiency, cut costs, and accelerate delivery times. Similarly, in retail, robotic vision powers automated checkout systems that recognize and process items without human involvement. The rise of e-commerce has further bolstered the need for vision-guided systems to handle complex order fulfillment and inventory management tasks, driving the adoption of robotic vision technology.
Drivers
Artificial intelligence (AI) and machine learning (ML) are two significant technological innovations driving the growth of the robotic vision market.
The capabilities of robotic vision systems have been greatly improved by these advances. Previously, robotic vision systems used basic algorithms and predefined instructions to analyze visual information. Yet, by incorporating AI and ML, robotic vision systems can gain knowledge from data, adjust to different surroundings, and enhance their capabilities steadily. AI-powered robotic vision systems can identify objects, monitor motion, and make instant decisions using visual data, ultimately improving the efficiency and precision of automation procedures. Teaching robots to perceive and comprehend their surroundings is essential for various industries such as manufacturing, logistics, healthcare, and agriculture. One example is within the manufacturing sector, where robotic vision systems utilize AI and ML to Defect Detection in items along a production line, leading to improved efficiency in quality control procedures and decreased chances of human mistakes. With the advancement of AI and ML technologies, robotic vision systems are predicted to increase in capability, leading to a higher demand for them across different industries.
The increasing need for automation in various sectors is a major factor in driving the growth of the robotic vision market.
Automation provides multiple advantages such as higher productivity, lower operational expenses, and enhanced consistency and accuracy. To improve production processes and operational efficiency, industries are increasingly relying on robotic systems with advanced vision technologies. In manufacturing, automation is changing traditional assembly lines by substituting manual labor with robots that can complete tasks quicker, more precisely, and without getting tired. Robotic vision systems allow robots to conduct visual inspections, detect flaws, and verify that products adhere to quality standards without requiring human involvement. The complexity of products is increasing, leading to a greater demand for systems with advanced inspection and handling capabilities. Furthermore, there is an increasing use of robotic vision systems due to the requirement for robots to manage hazardous or monotonous tasks. Robots equipped with vision systems can carry out inspections and maintenance tasks in risky settings like chemical plants or mines, ensuring the safety of human workers. Likewise, robots are being utilized in industries such as food processing and logistics for tasks like sorting, packaging, and palletizing that require precision and speed.
Restraints
The deployment and maintenance of robotic vision systems require highly skilled personnel with expertise in robotics, computer vision, and AI technologies.
However, the demand for such talent often exceeds the available supply, leading to a skills gap in the industry. The lack of a skilled workforce can delay the implementation and adoption of robotic vision systems, as companies may struggle to find qualified engineers and technicians. The need for specialized knowledge in machine learning, computer vision algorithms, and sensor technology can further complicate the recruitment process. As a result, companies may face challenges in fully utilizing their robotic vision systems, which could impact their overall performance and return on investment. In industries where skilled labor is scarce, the shortage of trained professionals could be a significant barrier to the widespread adoption of robotic vision technologies.
By Type
The 3D segment dominated with a 57% market share in 2023, offers a more complex and advanced level of object recognition and interaction. This allows for more intricate tasks such as precise object manipulation, autonomous navigation, and enhanced quality control in environments where 2D systems fall short. The 3D segment is expanding rapidly due to its critical role in sectors like healthcare, robotics, and automotive. For example, KUKA Robotics applies 3D vision systems for advanced manufacturing automation, including the precision assembly of automotive components, showcasing the segment’s growing demand and its potential for innovation across industries.
The 2D segment is anticipated to have the fastest CAGR during 2024-2032. These systems typically use cameras and sensors to analyze the environment, identify objects, and provide critical information for tasks like inspection, sorting, and object recognition. In applications such as manufacturing, logistics, and automotive, 2D vision systems are primarily used for quality control, material handling, and automation in assembly lines. An example of 2D robotic vision is Cognex, a company providing machine vision solutions for industries like food and beverage, automotive, and electronics, which utilizes 2D vision technology for automated inspection and traceability in production lines.
By Components
The hardware segment dominated in 2023 with a 57% market share. These components enable robots to capture images, process visual data, and make decisions based on real-time feedback. Hardware advancements in image processing, sensor resolution, and system integration are driving market growth. Companies like ABB and KUKA Robotics utilize advanced vision systems in their robotic arms for tasks like pick-and-place, quality control, and assembly line inspections. The demand for precise, high-quality imaging hardware in manufacturing and logistics applications is fueling the growth of this segment.
The software segment is going to be the fastest-growing during 2024-2032, driven by advancements in artificial intelligence (AI), machine learning, and deep learning. The software enables robots to process the visual data captured by hardware, identify objects, and make complex decisions. It is pivotal in improving robot autonomy and accuracy in dynamic environments. For example, FANUC and Universal Robots integrate AI-driven software to enhance the capabilities of their robotic arms, enabling functions like real-time object detection, navigation, and task adaptation.
In 2023, Asia-Pacific dominated with a 38% market share and is expected to continue its growth rate during 2024-2032 in the robotic vision market, credited to quick industrial growth, technological progress, and the existence of important manufacturing centers such as China, Japan, and South Korea. The area also enjoys a strong use of robotics in sectors such as automotive, electronics, and consumer goods. The growing need for automation in manufacturing and logistics, which lowers labor expenses and enhances operational efficiency, is contributing to APAC's market expansion. Major corporations such as Fanuc Corporation in Japan and KUKA Robotics in Germany are heavily involved in the APAC region, utilizing robotic vision technologies for assembly line and material handling processes. Furthermore, Omron Corporation and Keyence Corporation are also providing automation solutions that integrate vision systems for quality control and product inspection within factory settings. Government incentives that encourage advanced technologies and manufacturing processes support regional dominance.
Need any customization research on Robotic Vision Market - Enquiry Now
Key Players
The major key players in the Robotic Vision Market are:
ABB Robotics (YuMi, IRB 6700)
Cognex Corporation (In-Sight 7000, VisionPro)
KUKA Robotics (LBR iiwa, KUKA AGILUS)
OMRON Corporation (F150 Vision Sensor, OMRON V-SERIES)
Fanuc Corporation (R-30iB Plus Controller, iRVision)
Keyence Corporation (CV-X200, CV-5000 Series)
Basler AG (ace 2, dart Series)
SICK AG (Visionary-T, SICK InspectorP)
Teradyne (Universal Robots) (UR5, UR10e)
National Instruments (NI Vision Builder AI, LabVIEW Vision)
Denso Robotics (VS-050, VP-Series)
MVTec Software GmbH (HALCON, MERLIC)
Sony Corporation (XCL-SG, IMX Series Sensors)
Teledyne Technologies (JAI Spark, Teledyne Dalsa Genie Nano)
Intel Corporation (Intel RealSense D435i, Intel RealSense LiDAR Camera L515)
LMI Technologies (Gocator 3500, Gocator 2000 Series)
Matrox Imaging (Matrox 4Sight GP, Matrox Solios)
Epson Robotics (Epson G-Series, Epson C-Series)
Zebra Medical Vision (Zebra Medical Vision AI, VisionAI platform)
STMicroelectronics (VL53L1X, VL53L0X)
Recent Development
June 2024: ABB Robotics released OmniCore, a smart automation platform that is quicker, more accurate, and more eco-friendly, to empower, improve, and futureproof businesses.
January 2024: STMicroelectronics introduced the VL53L8CX, its newest 8 x 8 time-of-flight ranging sensor. The latest sensor includes dual metasurface lenses, a 940 nm vertical cavity surface emitting laser, a multizone single-photon avalanche diode array, and an optical system with filters and diffractive optical elements.
November 2024: Teledyne FLIR introduced a new software tool called the PRISM AIMMGen AI model generator. The dual-purpose AI model generator is a new tool that enables automatic generation of AI models using datasets unaffected by International Traffic In Arms (ITAR) restrictions, offering cost and time savings for the user.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 2.62 Billion |
| Market Size by 2032 | USD 5.73 Billion |
| CAGR | CAGR of 9.13% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (2D, 3D) • By Components (Hardware, Software) • By Industry (Automotive, Electrical & Electronics, Chemical, Rubber, & Plastic, Metals & Machinery, Food & Beverages, Precision Engineering & Optics, Pharmaceuticals & Cosmetics, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | ABB Robotics, Cognex Corporation, KUKA Robotics, OMRON Corporation, Fanuc Corporation, Keyence Corporation, Basler AG, SICK AG, Teradyne (Universal Robots), National Instruments, Denso Robotics, MVTec Software GmbH, Sony Corporation, Teledyne Technologies, Intel Corporation, LMI Technologies, Matrox Imaging, Epson Robotics, Zebra Medical Vision, STMicroelectronics |
| Key Drivers | • Artificial intelligence (AI) and machine learning (ML) are two significant technological innovations driving the growth of the robotic vision market. • The increasing need for automation in various sectors is a major factor in driving the growth of the robotic vision market. |
| RESTRAINTS | • The deployment and maintenance of robotic vision systems require highly skilled personnel with expertise in robotics, computer vision, and AI technologies. |
Ans: The Robotic Vision Market is expected to grow at a CAGR of 9.13%.
Ans: The Robotic Vision Market size was USD 2.62 Billion in 2023 and is expected to Reach USD 5.73 Billion by 2032.
Ans: The increasing need for automation in various sectors is a major factor in driving the growth of the robotic vision market.
Ans: The 3D segment dominated the Robotic Vision Market in 2023.
Ans: APAC dominated the Robotic Vision Market in 2023.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Robotic Vision R&D Spending Trends
5.2 Installation & Adoption Rates
5.3 Regulatory & Policy Impact
5.4 Product/Service Innovation Index
6. Competitive Landscape
6.1 List of Major Companies, by Region
6.2 Market Share Analysis, by Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Robotic Vision Market Segmentation, by Type
7.1 Chapter Overview
7.2 2D
7.2.1 2D Market Trends Analysis (2020-2032)
7.2.2 2D Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 3D
7.3.1 3D Market Trends Analysis (2020-2032)
7.3.2 3D Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Robotic Vision Market Segmentation, by Component
8.1 Chapter Overview
8.2 Hardware
8.2.1 Hardware Market Trends Analysis (2020-2032)
8.2.2 Hardware Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Software
8.3.1 Software Market Trends Analysis (2020-2032)
8.3.2 Software Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Robotic Vision Market Segmentation, by Industry
9.1 Chapter Overview
9.2 Automotive
9.2.1 Automotive Market Trends Analysis (2020-2032)
9.2.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Electrical & Electronics
9.3.1 Electrical & Electronics Market Trends Analysis (2020-2032)
9.3.2 Electrical & Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Chemical, Rubber, & Plastic
9.4.1 Chemical, Rubber, & Plastic Market Trends Analysis (2020-2032)
9.4.2 Chemical, Rubber, & Plastic Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Metals & Machinery
9.5.1 Metals & Machinery Market Trends Analysis (2020-2032)
9.5.2 Metals & Machinery Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Food & Beverages
9.6.1 Food & Beverages Market Trends Analysis (2020-2032)
9.6.2 Food & Beverages Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Precision Engineering & Optics
9.7.1 Precision Engineering & Optics Market Trends Analysis (2020-2032)
9.7.2 Precision Engineering & Optics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Pharmaceuticals & Cosmetics
9.8.1 Pharmaceuticals & Cosmetics Market Trends Analysis (2020-2032)
9.8.2 Pharmaceuticals & Cosmetics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 Others
9.9.1 Others Market Trends Analysis (2020-2032)
9.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.4 North America Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.2.5 North America Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.6.2 USA Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.2.6.3 USA Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.7.2 Canada Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.2.7.3 Canada Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.2.8.2 Mexico Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.2.8.3 Mexico Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.6.2 Poland Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.6.3 Poland Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.7.2 Romania Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.7.3 Romania Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.4 Western Europe Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.5 Western Europe Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.6.2 Germany Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.6.3 Germany Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.7.2 France Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.7.3 France Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.8.2 UK Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.8.3 UK Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.9.2 Italy Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.9.3 Italy Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.10.2 Spain Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.10.3 Spain Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.13.2 Austria Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.13.3 Austria Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.4 Asia Pacific Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.5 Asia Pacific Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.6.2 China Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.6.3 China Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.7.2 India Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.7.3 India Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.8.2 Japan Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.8.3 Japan Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.9.2 South Korea Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.9.3 South Korea Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.10.2 Vietnam Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.10.3 Vietnam Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.11.2 Singapore Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.11.3 Singapore Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.12.2 Australia Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.12.3 Australia Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.4 Middle East Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.5 Middle East Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.6.2 UAE Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.6.3 UAE Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.4 Africa Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.2.5 Africa Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Robotic Vision Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.4 Latin America Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.6.5 Latin America Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.6.2 Brazil Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.6.6.3 Brazil Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.7.2 Argentina Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.6.7.3 Argentina Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.8.2 Colombia Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.6.8.3 Colombia Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Robotic Vision Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Robotic Vision Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Robotic Vision Market Estimates and Forecasts, by Industry (2020-2032) (USD Billion)
11. Company Profiles
11.1 ABB Robotics
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Cognex Corporation
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 KUKA Robotics
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 OMRON Corporation
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Fanuc Corporation
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Keyence Corporation
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Denso Robotics
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Sony Corporation
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Teledyne Technologies
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Intel Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Type
By Components
By Industry
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
Europe
Asia Pacific
Middle East & Africa
Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
The Outsourced Semiconductor Assembly and Test Services Market Size was valued at USD 40.10 Billion in 2023 and is expected to reach USD 77.90 Billion by 2032, growing at a CAGR of 7.67% over the forecast period 2024-2032
The Gas Sensor Market was valued at USD 1.9 Billion in 2023 and is expected to reach USD 4.2 Billion by 2032, growing at a CAGR of 9.05% from 2024-2032.
The Nickel Metal Hydride (NiMH) Battery Market Size was valued at USD 2.84 billion in 2023 and is expected to grow at a CAGR of 4.08% From 2024-2032.
The PCIe Switches Market Size was valued at USD 5.24 billion in 2023 and is expected to reach USD 17.72 billion by 2032 and grow at a CAGR of 14.5% over the forecast period 2024-2032.
The Consumer Electronics Market size was valued at USD 956.12 Billion in 2023 & will reach USD 1775.27 Billion by 2032, with a CAGR of 7.14% by 2024-2032.
The Dual Screen Laptops Market Size was valued at USD 2.75 Billion in 2023 and will reach USD 3.77 Billion by 2032, growing at a CAGR of 3.62% by 2024-2032.
Hi! Click one of our member below to chat on Phone
© 2025 All Rights Reserved by SNS Insider Pvt Ltd
