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¼¼°èÀÇ ¸Ó½ÅºñÀü ½ÃÀå - »ê¾÷ ±Ô¸ð, Á¡À¯À², µ¿Çâ, ±âȸ ¹× ¿¹Ãø(2018-2028³â)Machine Vision Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Component, By Type, By Product Type, By Deployment Type, By Application, By Vertical, By Region, Competition |
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¿¹Ãø ±â°£ | 2024-2028 |
½ÃÀå ±Ô¸ð 2022³â | 127¾ï 7,000¸¸ ´Þ·¯ |
2028³â ½ÃÀå ±Ô¸ð | 292¾ï ´Þ·¯ |
CAGR 2023-2028 | 14.85% |
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LSH 23.10.25Global machine vision market is predicted to proliferate during the forecast period due to growing Industry 4.0 developments that are uplifting the manufacturing sector. Industrial Internet of Things (IIoT), digital transformation, cyber-physical systems and predictive maintenance are growing to meet the need for smart and connected production systems along with the development of more complex machinery. Machine Vision or Computer Vision enables machines to identify objects, analyze scenes and activities in real-life visual environments. Machine vision is a technique that uses image processing to enable automatic inspection and analysis for applications such as automatic inspection, process control, and robotic guiding. Machine vision is a technological competence that utilizes current technologies in novel ways to address issues in the real world. Machine vision is becoming more and more common in contexts where industrial automation occurs, as well as in other sectors including security, autonomous driving, the food industry, packaging, logistics, and even in robots and drones. Companies are progressively adopting mission vision to reduce human involvement in a manufacturing process by bringing additional safety and operational benefits in industrial settings. Numerous innovations carried out in smart camera prevalence, optics and lighting, website browser interfaces and artificial intelligence (AI) and machine learning (ML) technologies are expected to enhance the features of machine vision. This, in turn, is expected to drive market growth during the forecast period.
The global machine vision market has witnessed significant growth in the last few years. The increase in the need for adoption of artificial intelligence (AI) in machine vision and integration of machine vision system into electronic devices such as smart cameras along with the proliferation in automated quality inspection technologies have led to increase in product and service demand. In addition, the growth of this market is attributed to the growing preference of individuals and service providers for self-driving vehicles as the number of autonomous cars, robotic cars or driver-less cars are gaining attraction among customers. Moreover, growing demand for automated quality inspection technologies are also expected to witness significant demand in the future. Furthermore, machine vision is gaining popularity as businesses are facilitating the extensive use of automation, the use of machine vision in industrial settings such as retail and manufacturing is growing rapidly and ensuring the quality of packaging, assembling product and components, and reducing defects. The use of machine vision enables organizations to deliver timely services at reduced costs.
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 12.77 Billion |
Market Size 2028 | USD 29.20 Billion |
CAGR 2023-2028 | 14.85% |
Fastest Growing Segment | Automotive |
Largest Market | North America |
Industrial revolutions have come a long way since 1784. Industry 4.0, the current trend of automation and data exchange in manufacturing technologies includes technologies such as Industrial internet of things (IIoT), integration of cyber-physical systems (CPS) into cyber physical production systems (CPPS), machine vision and many more. Machine vision technology is essential for providing imaging-based automatic inspection and analysis. The technology is constantly developing, both in terms of its inherent capabilities and its capacity to benefit various industries, including manufacturing. Moreover, the utilization of 3D machine vision and smart factory initiatives are unlocking the opportunities to gain better profit margin. Several enterprises are adopting machine vision enabled with robotics automation systems to increase their productivity, quality and efficiency by capturing the data, making the smart factory a reality. Furthermore, the use of machine vision to do quality control during manufacturing makes it easier to spot product differences in real-time. For instance, industries that manufacture goods with specific dimensions such as piping, and paver blocks are incorporating 3D machine vision for quality assurance as these technologies are helpful to generate real-time measurements of the product dimensions during early stage. Unacceptable changes in the product's dimensions can cause the manufacturing line to be shut down and an urgent notice to the operator. Thus, industry 4.0 developments are uplifting the manufacturing sector and driving the growth of global machine vision market in the forecast period.
Systems for industrial robots with machine vision are called "vision-guided robotic systems." Due to its high level of integration, versatility, and bin-picking simplicity, this system is being adopted quickly. Although fixed robotic procedures were prevalent, machine vision is now used in industrial robots to direct items to a certain area or portion for further operations like pick, place, or welding. Depalletizing packages that are arbitrarily stacked or combined has therefore seen an increase in applications because of this. Robotic vision enables high-quality production while also streamlining and saving money on the manufacturing process. Because of this, there is a higher need for vision-guided robotic systems for pick and sort applications. Therefore, increasing machine vision-guided for robotics systems demands are expected to grow the adoption of machine vision in the global market.
A machine vision inspection system reveals flaws in manufacturing products such as defects, contamination, functional issues, and other anomalies. Quality control inspection is one of the most crucial steps in the production process. Manual inspection takes a lot of time, has high personnel expenses, and is prone to mistakes. So, it becomes crucial for manufacturers to spend money on top-notch quality control systems for minimizing losses and reducing errors. As a result, automation technologies are being used in industries all over the world. Using a set of instructions or programs, automation enables machines to carry out a repeating set of tasks with little to no user assistance. Automation facilitates large manufacturing and offers rigorous product testing. For instance, using 3D machine vision makes it simpler to check that items don't have any major flaws, misaligned pieces, or missing parts. Due to the increased use of automation throughout the world, the global machine vision market is therefore anticipated to have considerable development during the projected period.
Based on component, the market is segmented into hardware and software. Based on type, the market is segmented into 1-D vision system, 2-D vision system, & 3-D vision system. Based on product type, the market is segmented into pc-based, smart camera based. Based on deployment type, the market is segmented into general, robotic cell. Based on application, the market is segmented into quality assurance and inspection, positioning and guidance, measurement, identification. Based on vertical, the market is further split into semiconductor & electronics, automotive, retail & consumer goods, food & packaging, solar panel manufacturing, machinery, and others.
Cognex Corporation, Allied Vision Technologies GmbH, Basler AG, National Instruments Corporation, Tordivel AS, OMRON Corporation, Keyence Corporation, LMI Technologies, Inc., Microscan Systems, Inc., and Sick AG. are among the major players that are driving the growth of the global machine vision market.
In this report, the global machine vision market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the global Machine Vision market.
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(Note: The companies list can be customized based on the client requirements.)