The global machine vision system and components market is expected to reach USD 13.84 billion in 2024 and USD 24.32 billion by 2032, growing at a CAGR of 7.3% during the forecast period.
Machine vision systems are technologies and processes used to provide image-based automatic inspection, robot orientation, and process control for the industrial automation and electronics industries.
One of the latest market trends is the miniaturization of machine vision systems. Researchers have developed a microchip that consumes extremely little energy to capture the visual details of video images. According to the researchers, the chip's video function uses 20 times less power than the best existing chips in its class. One of these chips is called EQSCALE, which could reduce the size of intelligent vision systems to the nearest millimeter.
The lower cost of robots now allows the development of cheaper but more flexible vision systems. These vision-based robotic work cells consist of one or more robots with cameras and lighting mounted on their end effectors. This system can inspect different product variants and can be reprogrammed quickly. System software can be programmed to check the locations of any subsequent product presented to you.
Advances in 3D machine vision are becoming more flexible in automation and intelligent manufacturing. In the near future, such artificial vision innovations will allow the analysis of 3D scenes and 2D processing in a 3D image. It will also enable machine learning applications where a robot can learn in real time.
Technological advances in the electronics industry, such as the miniaturization of electronic components, the improvement of the energy efficiency of image sensors, and the higher efficiency of digital signal processors (DSP), have benefited the global machine vision systems and components market. Thanks to these advances, the acceptance of vision systems and components has increased in several applications, such as security equipment, cameras, coding and decoding algorithms, and traceability applications, such as text verification, reading identification codes, label inspection, and brand quality assessment.
On the other hand, aspects such as complexity in the integration of artificial vision systems and the lack of flexible machine vision solutions are hampering the rapid expansion of this business.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
7.3% |
Segments Covered |
By Component, Application, Technology, Product, End User, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Vitronic GMBH, Scorpion Vision Ltd., Qualcomm Inc., Point Gray Research Inc., Perceptron Inc., Omron Corporation, National Instruments, Microscan Systems, Machine Vision Technology Ltd., Lumenera Corporation, Keyence Corporation, IDS Imaging Development Systems GmbH, Cypress Semiconductor Corporation, Cognex Corporation, Basler AG, Allied Vision Technologies, Adept Technology Inc., and others. |
Of these, the camera segment accounted for the prominent share in the global market due to the applications of the smart camera in 3D imaging and others.
Among these, the quality assurance and inspection segment is registered as a prominent portion of the world market, owing to its applications in the food and automotive industries. The 3D measurement segment is likely to expand with the highest growth rate in the foreseen period.
With the increasing applications and adoption of IoT, smart camera-based vision systems are predicted to account for a remarkable market share in the coming years.
The automotive segment, along with food packaging, is anticipated to expand with the highest CAGR in the foreseen years.
North America and Europe account for a leading portion of the global industry, attributing to the increased applications in automotive and other end-users. These regions are further predicted to expand with a moderate growth rate in the coming years.
Nevertheless, the Asia Pacific region is projected to expand with the highest growth rate in the forecast period, which is supported by the rapid industrialization and automobile manufacturing in the area.
Some of the competitors in the market for Machine Vision Systems and Components are:
In July 2018, Basler strengthened its position in the Chinese market by partnering with Beijing Sanbao Xingye (MVLZ) Image Tech. Co., Ltd., a leading Chinese distributor of image processing components.
In April 2018, OMRON and Cisco Systems GK collaborated on the integration of advanced Cisco network and security technologies in OMRON Programmable Logic Controllers (APIs).
In November 2018, OMRON and Cisco Systems GK worked on the integration of advanced Cisco network and security technologies into OMRON programmable logic controllers (APIs).
By Components
By Application
By Product
By Technology
By End-User
By Region
Frequently Asked Questions
In the automotive industry, machine vision systems are used for quality inspection of components, defect detection, assembly verification, and autonomous vehicle applications such as driver assistance systems.
The machine vision systems market is projected to witness significant growth in the coming years, driven by advancements in artificial intelligence and deep learning technologies, expanding applications in various industries, and the integration of Industry 4.0 principles.
Machine vision systems help in reducing material waste, optimizing energy consumption, improving product quality, and enhancing overall efficiency, thereby contributing to sustainability goals in manufacturing.
Emerging trends include the integration of machine vision with robotics for advanced automation, the adoption of 3D vision technology for more accurate depth perception, and the use of hyperspectral imaging for advanced material analysis and quality control.
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