Machine Vision Camera Market Synopsis

Machine Vision Camera Market Size Was Valued at USD 1.52 Billion in 2023, and is Projected to Reach USD 3.06 Billion by 2032, Growing at a CAGR of 8.1% From 2024-2032.

The Machine Vision Camera Market is the part of manufactures industry that creates, produces and uses cameras for machine vision systems. These are used for automation in industries, automobiles, health care, manufacturing, and many more to capture and analyse the sight for functions like inspection measurement, identification etc Machine vision cameras are provided with its own sensors and lenses also provides its own software to ensure genuine and fast image processing to support productivity, quality inspection and optimisation of operations in many applications.

• Chart 1 reveals that there are expectations that the market for machine vision cameras will rise because of the trends in the market such as the automation, quality of the products being manufactured, automobiles, pharmaceuticals, and electronics. Machine vision cameras which are part of intelligent inspection and process control are also changing and offering higher resolution, faster frame rate and higher feature/defect identification/recognition along with locating precision. There is more and more popularity of smart manufacturing and industry four point four point zero projects in which such cameras are fundamental spearheads for solving specific problems, reducing errors, and improving production. Additionally, the scientific advancements of such technologies as artificial intelligence (AI) and/or machine learning are making the machine vision systems better making the demand for the systems to grow rapidly.
• regionally, North American market is significant with Europe where there is high degrees of automation technologies’ perseverance. However, the Asia-Pacific region will grow the fastest due to industrialization, and the focus on the importance of boosting manufacturing performance across countries such as China, Japan, and South Korea. The use of robots in areas such as robotics, packaging and inspection industries has grown and has been a factor for growth of this market. They also include the costly process of creating complex machine vision system and many other challenges including compatibility with legacy applications; these are some of the challenges that are currently threatening the growth of the market, however; latest advancements in the technological aspects and continually dropping cost of developing such systems are expected to drive this market in future.

Machine Vision Camera Trend Analysis

Rising Demand for High-Resolution and Compact Machine Vision Cameras in Industrial Applications

• Industry is now demanding high resolutions of machine vision cameras as processes have to be made more precise. For example, in manufacturing, high resolution, 4K and higher, of machine vision cameras are becoming essential for applications as simple as quality control and defects identification. These cameras enables the manufacturers to see slight defects on the products they produce hence selling only perfect products. Similarly, high-resolution cameras are most advantageous for industries that demand highly polished quality such as automotive and Aerospace where defects can probably pose significant effects. In healthcare for instance the cameras are very useful especially in generating clear images that are required for diagnosis through electronic microscopy. Therefore, it has become highly important that the various industries must call for improved imaging solutions.

• Beside the resolution improvements, it is also noted the concern for generating new machine vision cameras with reduced sizes and weight. These are much smaller cameras than the regular custom vision cameras; as is the case with most Vision Systems, they are meant to blend into small, enclosed environments like the robotic arms used in assembly line manufactured goods, and are therefore, more versatile for a range of manufacturing uses. Small size and low weight of compact cameras also contribute to the general decrease in mass of machine vision systems that can be easily integrated into other devices without significant adjustments. This trend is perfectly apparent in the logistics industry where cameras are used for tasks such as sorting and bar-coding in confined areas. As the sizes and weights of these systems are shrunk, there are options to boost the general performance, which makes greater adoption of machine vision technologies possible in various industries.

The Integration of Machine Learning and 3D Vision Technology

• The integration of machine learning as a part of ML algorithms with machine vision camera has been evolved as a new system that changes the characteristics of the image processing and defines the real-time data analysis. Newer models are integrated within machine vision cameras; hence, these devices can analyze stored images and patterns, defects, and other important data points as and when they are captured no more need for the URL processing. This shift also enables industries make decisions independently with little or no human interference on most of the activities. For instance, logistics and warehousing industries with the help of ML enabled machine vision cameras that are used for recognizing barcodes, for monitoring inventory and for segregating based on size and delivery location among others. In retail actually, cameras are smart through the use of Machine learning to monitor store shelves for cases of stock out to alert staffs thus improve the inventory status as per the customers’ needs.
• The integration of 3D machine vision cameras with ML popularly called 3D-Machine Vision is also pushing the limits of advanced applications that depend on spatial discrimination such as robotics and self-driven cars. They are able to capture depth or 3D information about any objects in their field of view and not just the size, shape and position, but also the spatial location of an object in reference to the environment. This capability is particularly relevant to computing systems in robotics applications mainly involved in object recognition and navigation these may include pick – and – place of parts in the manufacturing line, or guidance of autonomous vehicles in general use. It is possible to integrate the 3D machine vision systems into improving the everyday performance and even gain the characteristic of learning from the new data and therefore optimizing the object detection, obstacle avoidance, and the planning of the routes erratically. With the integration of machine vision and artificial intelligence, numerous industries are experiencing a new face in smart and automated systems that can handle environments that are ever-changing and complex as the current world.

Machine Vision Camera Market Segment Analysis:

• Machine Vision Camera Market Segmented based on By Product, By Hardware Standards, By Pixel Type, By Type of Sensor, By Process Type, By Spectrum Type, By Detection, By Lens Type, By Platform Type and By Applications.

By Product, Line Scan Cameras segment is expected to dominate the market during the forecast period

• Line scan cameras are an especially important element of high-speed inspection that can be useful in production lines. While the area scan cameras produce images that have height and width, like the conventional cameras, the line scan cameras produce images line by line. This unique capability ensures they provide high resolution and clarity even as they scan fast moving products, and thus is perfect for use in web inspection where continuous webs such as paper, plastics or metal sheets require constant inspection. Real time image capturing allows the manufacturers to identify a defect or an inconsistency or even a foreign object that is within the product and eliminate them at once so as to avoid compromising the quality of the product or to reduce on wastage.
• Besides web inspection, line scan cameras find their applications in assessing the surface characteristics of products in the worldwide food and beverage, pharmaceuticals, and textiles industries. They can get highly defined images of a sustained surface making it possible to inspect product surfaces for potential features such as scratches, discoloration, or contamination. In addition, line scan cameras are extendable with high level software tools that help to perform more sophisticated image analysis works, including color identification, shape identification, and measurement of sizes. This flexibility extends their usefulness in use, finally resulting in increased efficiencies in terms of quality control and production and line productivity in applications of automated systems in manufacturing industries.

By Platform Type, Wireless Cameras segment held the largest share in 2023

• Wireless cameras are helpful for implementing surveillance and monitoring systems in large areas and for those whose networks cannot be made with cables due to various reasoned’s. This not only cuts the costs of installation but also the complexities inherent in putting up wires, screwing some holes or conduits, pulling wires through walls, and dealing with large cable networks. This flexibility would enable a faster deployment of the system in large industrial environments, retail business facilities, exterior spaces, and remote locations. Also, cameras installed with wireless mechanism are flexible and can be moved to different or changed in position whenever there is change in monitoring process, is ideal especially for places which operations frequently change.
• Nonetheless, wireless cameras often have specific features like cloud, meaning the camera can be monitored on the go via a smartphone, tablet, or pc. This functionality increases situational awareness because operations can oversee the premises in real-time, notwithstanding their location. In addition, most of the wireless camera systems come with in-built motion sensors and alert functions, which send immediate notifications of the strange movement making security responses better. As technology continue to imporve wireless cameras becomes smart systems and can be driven by artificial intelligenxe making it a go to security and monitor for modern technolgy in many industries.

Machine Vision Camera Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

• The machine vision camera market in North America is growing steadily at a CAGR of more than 11% due to the on-going upgradation toward advanced technologies including AI and deep learning. These technologies are being incorporated in to machine vision systems for improving automation characteristics in production industries. Given the fact that many industries such as automotive, aerospace, and electronics industries are already established in the region, a number of them are already employing machine vision cameras for uses such as quality assurance or defect identification or for use in the guidance of robotics. Most of all, this new focus for integrating automated production technologies to gain accuracy and speed is raising the sales of machine vision systems to new levels in the United States and Canada.
• Furthermore, North America has many players in the market and has a high research and development environment that continuously develops machine vision technology. Manufacturers in this region are increasingly enhancing the camera, sensors, and algorithm requirements for companies in the industry. Ventures by the government and investments in smart manufacturing and industrial automation add to the market growth. Owing to heightened awareness of AI applications and complexity of industrial processes, growth trend of North America machine vision camera market remains steady.

Active Key Players in the Machine Vision Camera Market

• Basler AG (Germany)
• Cognex Corporation (U.S.)
• KEYENCE CORPORATION (Japan)
• NATIONAL INSTRUMENTS CORP (U.S.)
• OMRON Corporation (Japan)
• Teledyne Digital Imaging Inc.(U.S.)
• Sony Corporation (Japan)
• SICK AG (Germany)
• Hitachi Kokusai Electric America, Ltd. (U.S.)
• Allied Vision Technologies GmbH (Germany)
• Hermary (Canada)
• ISRA VISION AG (Germany)
• Omron Microscan Systems, Inc. (U.S.)
• Toshiba Teli Corporation (Japan)
• Datalogic S.p.A. (Italy)
• LMI TECHNOLOGIES INC. (Canada)
• MVTec Software GmbH (Germany)
• Canon Inc. (Japan)
• Nikon India Pvt Ltd (India)
• JAI A/S (Denmark)
• Teledyne UK Limited (U.K.)
• Baumer (Switzerland)
• Teledyne FLIR LLC (U.S.)
• Vieworks Co., Ltd. (South Korea)
• IDS Imaging Development Systems GmbH (Germany)
• Other Key Players

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Machine Vision Camera Market by Product
 4.1 Machine Vision Camera Market Snapshot and Growth Engine
 4.2 Machine Vision Camera Market Overview
 4.3 Line Scan Cameras
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Line Scan Cameras: Geographic Segmentation Analysis
 4.4 Area Scan Cameras
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Area Scan Cameras: Geographic Segmentation Analysis
 4.5 3D Cameras
  4.5.1 Introduction and Market Overview
  4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.5.3 Key Market Trends, Growth Factors and Opportunities
  4.5.4 3D Cameras: Geographic Segmentation Analysis

Chapter 5: Machine Vision Camera Market by Hardware Standards
 5.1 Machine Vision Camera Market Snapshot and Growth Engine
 5.2 Machine Vision Camera Market Overview
 5.3 Camera Link HS
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Camera Link HS: Geographic Segmentation Analysis
 5.4 Camera Link
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Camera Link: Geographic Segmentation Analysis
 5.5 GigE Vision
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 GigE Vision: Geographic Segmentation Analysis
 5.6 CoaXPress
  5.6.1 Introduction and Market Overview
  5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.6.3 Key Market Trends, Growth Factors and Opportunities
  5.6.4 CoaXPress: Geographic Segmentation Analysis
 5.7 USB3 Vision
  5.7.1 Introduction and Market Overview
  5.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.7.3 Key Market Trends, Growth Factors and Opportunities
  5.7.4 USB3 Vision: Geographic Segmentation Analysis
 5.8 Others
  5.8.1 Introduction and Market Overview
  5.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.8.3 Key Market Trends, Growth Factors and Opportunities
  5.8.4 Others: Geographic Segmentation Analysis

Chapter 6: Machine Vision Camera Market by Pixel Type
 6.1 Machine Vision Camera Market Snapshot and Growth Engine
 6.2 Machine Vision Camera Market Overview
 6.3 Less Than 1MP
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Less Than 1MP: Geographic Segmentation Analysis
 6.4 1 to 3 MP
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 1 to 3 MP: Geographic Segmentation Analysis
 6.5 3 to 5 MP
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 3 to 5 MP: Geographic Segmentation Analysis
 6.6 5 to 8 MP
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 5 to 8 MP: Geographic Segmentation Analysis
 6.7 8 to 12 MP
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 8 to 12 MP: Geographic Segmentation Analysis
 6.8 12 MP
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 12 MP: Geographic Segmentation Analysis

Chapter 7: Machine Vision Camera Market by Type of Sensor
 7.1 Machine Vision Camera Market Snapshot and Growth Engine
 7.2 Machine Vision Camera Market Overview
 7.3 Charged Coupled Device Technology
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Charged Coupled Device Technology: Geographic Segmentation Analysis
 7.4 Complementary Metal–Oxide–Semiconductor Technology
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Complementary Metal–Oxide–Semiconductor Technology: Geographic Segmentation Analysis
 7.5 Modified Internal Gate Sensor Technology
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Modified Internal Gate Sensor Technology: Geographic Segmentation Analysis
 7.6 and N-type metal-oxide-semiconductor Sensor Technology
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 and N-type metal-oxide-semiconductor Sensor Technology: Geographic Segmentation Analysis

Chapter 8: Machine Vision Camera Market by Process Type
 8.1 Machine Vision Camera Market Snapshot and Growth Engine
 8.2 Machine Vision Camera Market Overview
 8.3 1D Image Sensor
  8.3.1 Introduction and Market Overview
  8.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.3.3 Key Market Trends, Growth Factors and Opportunities
  8.3.4 1D Image Sensor: Geographic Segmentation Analysis
 8.4 2D Image Sensor
  8.4.1 Introduction and Market Overview
  8.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.4.3 Key Market Trends, Growth Factors and Opportunities
  8.4.4 2D Image Sensor: Geographic Segmentation Analysis
 8.5 3D Image Sensor
  8.5.1 Introduction and Market Overview
  8.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.5.3 Key Market Trends, Growth Factors and Opportunities
  8.5.4 3D Image Sensor: Geographic Segmentation Analysis

Chapter 9: Machine Vision Camera Market by Spectrum Type
 9.1 Machine Vision Camera Market Snapshot and Growth Engine
 9.2 Machine Vision Camera Market Overview
 9.3 Infrared Spectrum
  9.3.1 Introduction and Market Overview
  9.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  9.3.3 Key Market Trends, Growth Factors and Opportunities
  9.3.4 Infrared Spectrum: Geographic Segmentation Analysis
 9.4 X- Ray Spectrum
  9.4.1 Introduction and Market Overview
  9.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  9.4.3 Key Market Trends, Growth Factors and Opportunities
  9.4.4 X- Ray Spectrum: Geographic Segmentation Analysis
 9.5 Visible Light Spectrum
  9.5.1 Introduction and Market Overview
  9.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  9.5.3 Key Market Trends, Growth Factors and Opportunities
  9.5.4 Visible Light Spectrum: Geographic Segmentation Analysis
 9.6 Others
  9.6.1 Introduction and Market Overview
  9.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  9.6.3 Key Market Trends, Growth Factors and Opportunities
  9.6.4 Others: Geographic Segmentation Analysis

Chapter 10: Machine Vision Camera Market by Detection
 10.1 Machine Vision Camera Market Snapshot and Growth Engine
 10.2 Machine Vision Camera Market Overview
 10.3 Contour Detection
  10.3.1 Introduction and Market Overview
  10.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  10.3.3 Key Market Trends, Growth Factors and Opportunities
  10.3.4 Contour Detection: Geographic Segmentation Analysis
 10.4 Color Detection
  10.4.1 Introduction and Market Overview
  10.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  10.4.3 Key Market Trends, Growth Factors and Opportunities
  10.4.4 Color Detection: Geographic Segmentation Analysis
 10.5 Text / Barcode Detection
  10.5.1 Introduction and Market Overview
  10.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  10.5.3 Key Market Trends, Growth Factors and Opportunities
  10.5.4 Text / Barcode Detection: Geographic Segmentation Analysis
 10.6 Others
  10.6.1 Introduction and Market Overview
  10.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  10.6.3 Key Market Trends, Growth Factors and Opportunities
  10.6.4 Others: Geographic Segmentation Analysis

Chapter 11: Machine Vision Camera Market by Lens Type
 11.1 Machine Vision Camera Market Snapshot and Growth Engine
 11.2 Machine Vision Camera Market Overview
 11.3 Normal Lens
  11.3.1 Introduction and Market Overview
  11.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  11.3.3 Key Market Trends, Growth Factors and Opportunities
  11.3.4 Normal Lens: Geographic Segmentation Analysis
 11.4 Tele Lens
  11.4.1 Introduction and Market Overview
  11.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  11.4.3 Key Market Trends, Growth Factors and Opportunities
  11.4.4 Tele Lens: Geographic Segmentation Analysis
 11.5 Wide Angle Lens
  11.5.1 Introduction and Market Overview
  11.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  11.5.3 Key Market Trends, Growth Factors and Opportunities
  11.5.4 Wide Angle Lens: Geographic Segmentation Analysis

Chapter 12: Machine Vision Camera Market by Platform Type
 12.1 Machine Vision Camera Market Snapshot and Growth Engine
 12.2 Machine Vision Camera Market Overview
 12.3 Wireless Cameras
  12.3.1 Introduction and Market Overview
  12.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  12.3.3 Key Market Trends, Growth Factors and Opportunities
  12.3.4 Wireless Cameras: Geographic Segmentation Analysis
 12.4 Smart Camera / Portable
  12.4.1 Introduction and Market Overview
  12.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  12.4.3 Key Market Trends, Growth Factors and Opportunities
  12.4.4 Smart Camera / Portable: Geographic Segmentation Analysis
 12.5 PC based Camera
  12.5.1 Introduction and Market Overview
  12.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  12.5.3 Key Market Trends, Growth Factors and Opportunities
  12.5.4 PC based Camera: Geographic Segmentation Analysis
 12.6 Wearable Cameras
  12.6.1 Introduction and Market Overview
  12.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  12.6.3 Key Market Trends, Growth Factors and Opportunities
  12.6.4 Wearable Cameras: Geographic Segmentation Analysis

Chapter 13: Machine Vision Camera Market by Applications
 13.1 Machine Vision Camera Market Snapshot and Growth Engine
 13.2 Machine Vision Camera Market Overview
 13.3 Guidance
  13.3.1 Introduction and Market Overview
  13.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  13.3.3 Key Market Trends, Growth Factors and Opportunities
  13.3.4 Guidance: Geographic Segmentation Analysis
 13.4 Inspection
  13.4.1 Introduction and Market Overview
  13.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  13.4.3 Key Market Trends, Growth Factors and Opportunities
  13.4.4 Inspection: Geographic Segmentation Analysis
 13.5 Gauging
  13.5.1 Introduction and Market Overview
  13.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  13.5.3 Key Market Trends, Growth Factors and Opportunities
  13.5.4 Gauging: Geographic Segmentation Analysis
 13.6 Identification
  13.6.1 Introduction and Market Overview
  13.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  13.6.3 Key Market Trends, Growth Factors and Opportunities
  13.6.4 Identification: Geographic Segmentation Analysis
 13.7 Others
  13.7.1 Introduction and Market Overview
  13.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  13.7.3 Key Market Trends, Growth Factors and Opportunities
  13.7.4 Others: Geographic Segmentation Analysis

Chapter 14: Company Profiles and Competitive Analysis
 14.1 Competitive Landscape
  14.1.1 Competitive Benchmarking
  14.1.2 Machine Vision Camera Market Share by Manufacturer (2023)
  14.1.3 Industry BCG Matrix
  14.1.4 Heat Map Analysis
  14.1.5 Mergers and Acquisitions
  
 14.2 BASLER AG (GERMANY)
  14.2.1 Company Overview
  14.2.2 Key Executives
  14.2.3 Company Snapshot
  14.2.4 Role of the Company in the Market
  14.2.5 Sustainability and Social Responsibility
  14.2.6 Operating Business Segments
  14.2.7 Product Portfolio
  14.2.8 Business Performance
  14.2.9 Key Strategic Moves and Recent Developments
  14.2.10 SWOT Analysis
 14.3 COGNEX CORPORATION (US)
 14.4 KEYENCE CORPORATION (JAPAN)
 14.5 NATIONAL INSTRUMENTS CORP (US)
 14.6 OMRON CORPORATION (JAPAN)
 14.7 TELEDYNE DIGITAL IMAGING INC (US)
 14.8 SONY CORPORATION (JAPAN)
 14.9 SICK AG (GERMANY)
 14.10 HITACHI KOKUSAI ELECTRIC AMERICA LTD (US)
 14.11 ALLIED VISION TECHNOLOGIES GMBH (GERMANY)
 14.12 HERMARY (CANADA)
 14.13 ISRA VISION AG (GERMANY)
 14.14 OMRON MICROSCAN SYSTEMS INC (US)
 14.15 TOSHIBA TELI CORPORATION (JAPAN)
 14.16 DATALOGIC SPA (ITALY)
 14.17 LMI TECHNOLOGIES INC (CANADA)
 14.18 MVTEC SOFTWARE GMBH (GERMANY)
 14.19 CANON INC (JAPAN)
 14.20 NIKON INDIA PVT LTD (INDIA)
 14.21 JAI AS (DENMARK)
 14.22 TELEDYNE UK LIMITED (UK)
 14.23 BAUMER (SWITZERLAND)
 14.24 TELEDYNE FLIR LLC (US)
 14.25 VIEWORKS CO LTD (SOUTH KOREA)
 14.26 IDS IMAGING DEVELOPMENT SYSTEMS GMBH (GERMANY)
 14.27 OTHER KEY PLAYERS

Chapter 15: Global Machine Vision Camera Market By Region
 15.1 Overview
 15.2. North America Machine Vision Camera Market
  15.2.1 Key Market Trends, Growth Factors and Opportunities
  15.2.2 Top Key Companies
  15.2.3 Historic and Forecasted Market Size by Segments
  15.2.4 Historic and Forecasted Market Size By Product
  15.2.4.1 Line Scan Cameras
  15.2.4.2 Area Scan Cameras
  15.2.4.3 3D Cameras
  15.2.5 Historic and Forecasted Market Size By Hardware Standards
  15.2.5.1 Camera Link HS
  15.2.5.2 Camera Link
  15.2.5.3 GigE Vision
  15.2.5.4 CoaXPress
  15.2.5.5 USB3 Vision
  15.2.5.6 Others
  15.2.6 Historic and Forecasted Market Size By Pixel Type
  15.2.6.1 Less Than 1MP
  15.2.6.2 1 to 3 MP
  15.2.6.3 3 to 5 MP
  15.2.6.4 5 to 8 MP
  15.2.6.5 8 to 12 MP
  15.2.6.6 12 MP
  15.2.7 Historic and Forecasted Market Size By Type of Sensor
  15.2.7.1 Charged Coupled Device Technology
  15.2.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.2.7.3 Modified Internal Gate Sensor Technology
  15.2.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.2.8 Historic and Forecasted Market Size By Process Type
  15.2.8.1 1D Image Sensor
  15.2.8.2 2D Image Sensor
  15.2.8.3 3D Image Sensor
  15.2.9 Historic and Forecasted Market Size By Spectrum Type
  15.2.9.1 Infrared Spectrum
  15.2.9.2 X- Ray Spectrum
  15.2.9.3 Visible Light Spectrum
  15.2.9.4 Others
  15.2.10 Historic and Forecasted Market Size By Detection
  15.2.10.1 Contour Detection
  15.2.10.2 Color Detection
  15.2.10.3 Text / Barcode Detection
  15.2.10.4 Others
  15.2.11 Historic and Forecasted Market Size By Lens Type
  15.2.11.1 Normal Lens
  15.2.11.2 Tele Lens
  15.2.11.3 Wide Angle Lens
  15.2.12 Historic and Forecasted Market Size By Platform Type
  15.2.12.1 Wireless Cameras
  15.2.12.2 Smart Camera / Portable
  15.2.12.3 PC based Camera
  15.2.12.4 Wearable Cameras
  15.2.13 Historic and Forecasted Market Size By Applications
  15.2.13.1 Guidance
  15.2.13.2 Inspection
  15.2.13.3 Gauging
  15.2.13.4 Identification
  15.2.13.5 Others
  15.2.14 Historic and Forecast Market Size by Country
  15.2.14.1 US
  15.2.14.2 Canada
  15.2.14.3 Mexico
 15.3. Eastern Europe Machine Vision Camera Market
  15.3.1 Key Market Trends, Growth Factors and Opportunities
  15.3.2 Top Key Companies
  15.3.3 Historic and Forecasted Market Size by Segments
  15.3.4 Historic and Forecasted Market Size By Product
  15.3.4.1 Line Scan Cameras
  15.3.4.2 Area Scan Cameras
  15.3.4.3 3D Cameras
  15.3.5 Historic and Forecasted Market Size By Hardware Standards
  15.3.5.1 Camera Link HS
  15.3.5.2 Camera Link
  15.3.5.3 GigE Vision
  15.3.5.4 CoaXPress
  15.3.5.5 USB3 Vision
  15.3.5.6 Others
  15.3.6 Historic and Forecasted Market Size By Pixel Type
  15.3.6.1 Less Than 1MP
  15.3.6.2 1 to 3 MP
  15.3.6.3 3 to 5 MP
  15.3.6.4 5 to 8 MP
  15.3.6.5 8 to 12 MP
  15.3.6.6 12 MP
  15.3.7 Historic and Forecasted Market Size By Type of Sensor
  15.3.7.1 Charged Coupled Device Technology
  15.3.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.3.7.3 Modified Internal Gate Sensor Technology
  15.3.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.3.8 Historic and Forecasted Market Size By Process Type
  15.3.8.1 1D Image Sensor
  15.3.8.2 2D Image Sensor
  15.3.8.3 3D Image Sensor
  15.3.9 Historic and Forecasted Market Size By Spectrum Type
  15.3.9.1 Infrared Spectrum
  15.3.9.2 X- Ray Spectrum
  15.3.9.3 Visible Light Spectrum
  15.3.9.4 Others
  15.3.10 Historic and Forecasted Market Size By Detection
  15.3.10.1 Contour Detection
  15.3.10.2 Color Detection
  15.3.10.3 Text / Barcode Detection
  15.3.10.4 Others
  15.3.11 Historic and Forecasted Market Size By Lens Type
  15.3.11.1 Normal Lens
  15.3.11.2 Tele Lens
  15.3.11.3 Wide Angle Lens
  15.3.12 Historic and Forecasted Market Size By Platform Type
  15.3.12.1 Wireless Cameras
  15.3.12.2 Smart Camera / Portable
  15.3.12.3 PC based Camera
  15.3.12.4 Wearable Cameras
  15.3.13 Historic and Forecasted Market Size By Applications
  15.3.13.1 Guidance
  15.3.13.2 Inspection
  15.3.13.3 Gauging
  15.3.13.4 Identification
  15.3.13.5 Others
  15.3.14 Historic and Forecast Market Size by Country
  15.3.14.1 Bulgaria
  15.3.14.2 The Czech Republic
  15.3.14.3 Hungary
  15.3.14.4 Poland
  15.3.14.5 Romania
  15.3.14.6 Rest of Eastern Europe
 15.4. Western Europe Machine Vision Camera Market
  15.4.1 Key Market Trends, Growth Factors and Opportunities
  15.4.2 Top Key Companies
  15.4.3 Historic and Forecasted Market Size by Segments
  15.4.4 Historic and Forecasted Market Size By Product
  15.4.4.1 Line Scan Cameras
  15.4.4.2 Area Scan Cameras
  15.4.4.3 3D Cameras
  15.4.5 Historic and Forecasted Market Size By Hardware Standards
  15.4.5.1 Camera Link HS
  15.4.5.2 Camera Link
  15.4.5.3 GigE Vision
  15.4.5.4 CoaXPress
  15.4.5.5 USB3 Vision
  15.4.5.6 Others
  15.4.6 Historic and Forecasted Market Size By Pixel Type
  15.4.6.1 Less Than 1MP
  15.4.6.2 1 to 3 MP
  15.4.6.3 3 to 5 MP
  15.4.6.4 5 to 8 MP
  15.4.6.5 8 to 12 MP
  15.4.6.6 12 MP
  15.4.7 Historic and Forecasted Market Size By Type of Sensor
  15.4.7.1 Charged Coupled Device Technology
  15.4.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.4.7.3 Modified Internal Gate Sensor Technology
  15.4.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.4.8 Historic and Forecasted Market Size By Process Type
  15.4.8.1 1D Image Sensor
  15.4.8.2 2D Image Sensor
  15.4.8.3 3D Image Sensor
  15.4.9 Historic and Forecasted Market Size By Spectrum Type
  15.4.9.1 Infrared Spectrum
  15.4.9.2 X- Ray Spectrum
  15.4.9.3 Visible Light Spectrum
  15.4.9.4 Others
  15.4.10 Historic and Forecasted Market Size By Detection
  15.4.10.1 Contour Detection
  15.4.10.2 Color Detection
  15.4.10.3 Text / Barcode Detection
  15.4.10.4 Others
  15.4.11 Historic and Forecasted Market Size By Lens Type
  15.4.11.1 Normal Lens
  15.4.11.2 Tele Lens
  15.4.11.3 Wide Angle Lens
  15.4.12 Historic and Forecasted Market Size By Platform Type
  15.4.12.1 Wireless Cameras
  15.4.12.2 Smart Camera / Portable
  15.4.12.3 PC based Camera
  15.4.12.4 Wearable Cameras
  15.4.13 Historic and Forecasted Market Size By Applications
  15.4.13.1 Guidance
  15.4.13.2 Inspection
  15.4.13.3 Gauging
  15.4.13.4 Identification
  15.4.13.5 Others
  15.4.14 Historic and Forecast Market Size by Country
  15.4.14.1 Germany
  15.4.14.2 UK
  15.4.14.3 France
  15.4.14.4 Netherlands
  15.4.14.5 Italy
  15.4.14.6 Russia
  15.4.14.7 Spain
  15.4.14.8 Rest of Western Europe
 15.5. Asia Pacific Machine Vision Camera Market
  15.5.1 Key Market Trends, Growth Factors and Opportunities
  15.5.2 Top Key Companies
  15.5.3 Historic and Forecasted Market Size by Segments
  15.5.4 Historic and Forecasted Market Size By Product
  15.5.4.1 Line Scan Cameras
  15.5.4.2 Area Scan Cameras
  15.5.4.3 3D Cameras
  15.5.5 Historic and Forecasted Market Size By Hardware Standards
  15.5.5.1 Camera Link HS
  15.5.5.2 Camera Link
  15.5.5.3 GigE Vision
  15.5.5.4 CoaXPress
  15.5.5.5 USB3 Vision
  15.5.5.6 Others
  15.5.6 Historic and Forecasted Market Size By Pixel Type
  15.5.6.1 Less Than 1MP
  15.5.6.2 1 to 3 MP
  15.5.6.3 3 to 5 MP
  15.5.6.4 5 to 8 MP
  15.5.6.5 8 to 12 MP
  15.5.6.6 12 MP
  15.5.7 Historic and Forecasted Market Size By Type of Sensor
  15.5.7.1 Charged Coupled Device Technology
  15.5.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.5.7.3 Modified Internal Gate Sensor Technology
  15.5.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.5.8 Historic and Forecasted Market Size By Process Type
  15.5.8.1 1D Image Sensor
  15.5.8.2 2D Image Sensor
  15.5.8.3 3D Image Sensor
  15.5.9 Historic and Forecasted Market Size By Spectrum Type
  15.5.9.1 Infrared Spectrum
  15.5.9.2 X- Ray Spectrum
  15.5.9.3 Visible Light Spectrum
  15.5.9.4 Others
  15.5.10 Historic and Forecasted Market Size By Detection
  15.5.10.1 Contour Detection
  15.5.10.2 Color Detection
  15.5.10.3 Text / Barcode Detection
  15.5.10.4 Others
  15.5.11 Historic and Forecasted Market Size By Lens Type
  15.5.11.1 Normal Lens
  15.5.11.2 Tele Lens
  15.5.11.3 Wide Angle Lens
  15.5.12 Historic and Forecasted Market Size By Platform Type
  15.5.12.1 Wireless Cameras
  15.5.12.2 Smart Camera / Portable
  15.5.12.3 PC based Camera
  15.5.12.4 Wearable Cameras
  15.5.13 Historic and Forecasted Market Size By Applications
  15.5.13.1 Guidance
  15.5.13.2 Inspection
  15.5.13.3 Gauging
  15.5.13.4 Identification
  15.5.13.5 Others
  15.5.14 Historic and Forecast Market Size by Country
  15.5.14.1 China
  15.5.14.2 India
  15.5.14.3 Japan
  15.5.14.4 South Korea
  15.5.14.5 Malaysia
  15.5.14.6 Thailand
  15.5.14.7 Vietnam
  15.5.14.8 The Philippines
  15.5.14.9 Australia
  15.5.14.10 New Zealand
  15.5.14.11 Rest of APAC
 15.6. Middle East & Africa Machine Vision Camera Market
  15.6.1 Key Market Trends, Growth Factors and Opportunities
  15.6.2 Top Key Companies
  15.6.3 Historic and Forecasted Market Size by Segments
  15.6.4 Historic and Forecasted Market Size By Product
  15.6.4.1 Line Scan Cameras
  15.6.4.2 Area Scan Cameras
  15.6.4.3 3D Cameras
  15.6.5 Historic and Forecasted Market Size By Hardware Standards
  15.6.5.1 Camera Link HS
  15.6.5.2 Camera Link
  15.6.5.3 GigE Vision
  15.6.5.4 CoaXPress
  15.6.5.5 USB3 Vision
  15.6.5.6 Others
  15.6.6 Historic and Forecasted Market Size By Pixel Type
  15.6.6.1 Less Than 1MP
  15.6.6.2 1 to 3 MP
  15.6.6.3 3 to 5 MP
  15.6.6.4 5 to 8 MP
  15.6.6.5 8 to 12 MP
  15.6.6.6 12 MP
  15.6.7 Historic and Forecasted Market Size By Type of Sensor
  15.6.7.1 Charged Coupled Device Technology
  15.6.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.6.7.3 Modified Internal Gate Sensor Technology
  15.6.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.6.8 Historic and Forecasted Market Size By Process Type
  15.6.8.1 1D Image Sensor
  15.6.8.2 2D Image Sensor
  15.6.8.3 3D Image Sensor
  15.6.9 Historic and Forecasted Market Size By Spectrum Type
  15.6.9.1 Infrared Spectrum
  15.6.9.2 X- Ray Spectrum
  15.6.9.3 Visible Light Spectrum
  15.6.9.4 Others
  15.6.10 Historic and Forecasted Market Size By Detection
  15.6.10.1 Contour Detection
  15.6.10.2 Color Detection
  15.6.10.3 Text / Barcode Detection
  15.6.10.4 Others
  15.6.11 Historic and Forecasted Market Size By Lens Type
  15.6.11.1 Normal Lens
  15.6.11.2 Tele Lens
  15.6.11.3 Wide Angle Lens
  15.6.12 Historic and Forecasted Market Size By Platform Type
  15.6.12.1 Wireless Cameras
  15.6.12.2 Smart Camera / Portable
  15.6.12.3 PC based Camera
  15.6.12.4 Wearable Cameras
  15.6.13 Historic and Forecasted Market Size By Applications
  15.6.13.1 Guidance
  15.6.13.2 Inspection
  15.6.13.3 Gauging
  15.6.13.4 Identification
  15.6.13.5 Others
  15.6.14 Historic and Forecast Market Size by Country
  15.6.14.1 Turkey
  15.6.14.2 Bahrain
  15.6.14.3 Kuwait
  15.6.14.4 Saudi Arabia
  15.6.14.5 Qatar
  15.6.14.6 UAE
  15.6.14.7 Israel
  15.6.14.8 South Africa
 15.7. South America Machine Vision Camera Market
  15.7.1 Key Market Trends, Growth Factors and Opportunities
  15.7.2 Top Key Companies
  15.7.3 Historic and Forecasted Market Size by Segments
  15.7.4 Historic and Forecasted Market Size By Product
  15.7.4.1 Line Scan Cameras
  15.7.4.2 Area Scan Cameras
  15.7.4.3 3D Cameras
  15.7.5 Historic and Forecasted Market Size By Hardware Standards
  15.7.5.1 Camera Link HS
  15.7.5.2 Camera Link
  15.7.5.3 GigE Vision
  15.7.5.4 CoaXPress
  15.7.5.5 USB3 Vision
  15.7.5.6 Others
  15.7.6 Historic and Forecasted Market Size By Pixel Type
  15.7.6.1 Less Than 1MP
  15.7.6.2 1 to 3 MP
  15.7.6.3 3 to 5 MP
  15.7.6.4 5 to 8 MP
  15.7.6.5 8 to 12 MP
  15.7.6.6 12 MP
  15.7.7 Historic and Forecasted Market Size By Type of Sensor
  15.7.7.1 Charged Coupled Device Technology
  15.7.7.2 Complementary Metal–Oxide–Semiconductor Technology
  15.7.7.3 Modified Internal Gate Sensor Technology
  15.7.7.4 and N-type metal-oxide-semiconductor Sensor Technology
  15.7.8 Historic and Forecasted Market Size By Process Type
  15.7.8.1 1D Image Sensor
  15.7.8.2 2D Image Sensor
  15.7.8.3 3D Image Sensor
  15.7.9 Historic and Forecasted Market Size By Spectrum Type
  15.7.9.1 Infrared Spectrum
  15.7.9.2 X- Ray Spectrum
  15.7.9.3 Visible Light Spectrum
  15.7.9.4 Others
  15.7.10 Historic and Forecasted Market Size By Detection
  15.7.10.1 Contour Detection
  15.7.10.2 Color Detection
  15.7.10.3 Text / Barcode Detection
  15.7.10.4 Others
  15.7.11 Historic and Forecasted Market Size By Lens Type
  15.7.11.1 Normal Lens
  15.7.11.2 Tele Lens
  15.7.11.3 Wide Angle Lens
  15.7.12 Historic and Forecasted Market Size By Platform Type
  15.7.12.1 Wireless Cameras
  15.7.12.2 Smart Camera / Portable
  15.7.12.3 PC based Camera
  15.7.12.4 Wearable Cameras
  15.7.13 Historic and Forecasted Market Size By Applications
  15.7.13.1 Guidance
  15.7.13.2 Inspection
  15.7.13.3 Gauging
  15.7.13.4 Identification
  15.7.13.5 Others
  15.7.14 Historic and Forecast Market Size by Country
  15.7.14.1 Brazil
  15.7.14.2 Argentina
  15.7.14.3 Rest of SA

Chapter 16 Analyst Viewpoint and Conclusion
16.1 Recommendations and Concluding Analysis
16.2 Potential Market Strategies

Chapter 17 Research Methodology
17.1 Research Process
17.2 Primary Research
17.3 Secondary Research