Machine Vision Systems Market - Growth, Trends, COVID-19 Impact, and Forecasts (2023-2028)

The Machine Vision Systems market is expected to register a CAGR of 12% over the forecast period. The COVID-19 outbreak worldwide significantly disrupted the supply chain and production in various industries. It also impacted the studied market, especially in the first half of 2020. However, the pandemic also expanded the scope of industrial automation and machine vision to enhance efficiency and safety concerns.

Key Highlights

• Machine Vision Systems involve a computer's ability to observe, inspect, and scrutinize the work performance by employing one or more video cameras, digital signal processing, and analog-to-digital conversion. The computer will analyze the data and produce the desired output after it is captured. Any Machine Vision system must consider resolution and sensitivity. Resolution is in charge of distinguishing between objects. In contrast, sensitivity is the machine's ability to pick up on weak impulses or objects, even in low light or with invisible wavelengths.
• Since their inception, Machine Vision systems have evolved immensely from stand-alone proprietary box modules to modular vision components and 3D displacement sensors. These systems perform non-contact optical sensing for analyzing and interpreting parts of real-world models.
• Even after the COVID-19 outbreak, the economy was negatively affected. China was the first country that sees a recovery in its economic development following COVID-19. Also, the country experienced growth in the machine vision market. It was among the first Asian nations to establish an economy. Despite positive changes in the US and Europe, the overall economic trend remained weak.
• Moreover, manufacturing firms worldwide are realizing the benefits of machine vision systems, particularly in areas where redundant tasks, like inspection, must be performed precisely. They play a crucial role in high-speed production lines and hazardous environments. These systems' significant benefits include increased productivity, reduced machine downtime, and tighter process control.
• Industry 4.0, the newest industrial revolution, fueled the development of new technologies like robots playing a crucial role in industrial automation. Robots manage many core operations in industries. Vision-guided robots (machine vision) employing vision systems and image processing technologies have been gathering attention to perform tasks efficiently and to achieve high productivity. For instance, an automated robot device in an automotive assembly line utilizes Cognex Machine vision software to align and assemble engine block components.
• A developing trend is 3D machine vision, which provides accurate and current information to enhance application performance. No matter where an object is, it can still detect it. Robots can react appropriately to what is in front of them thanks to 3D vision. Other businesses are also pursuing the computer vision route, including Phiar, Helm.ai, and NODAR. By using patented machine learning algorithms to learn to correct for camera misalignment and vibration effects, NODAR hopes to significantly increase the imaging range and 3D perception of stereo camera systems.
• However, the machine vision system market brings the challenge that these machines & devices frequently require careful attention & daily maintenance to maintain this reliability because the performance of these systems depends on their aftercare. These machines need a lot of money to maintain because they are advanced and automated. These costs also include installation and purchase fees.

Machine Vision Systems Market Trends

Food and Beverage Sector is Expected to Hold a Significant Share

• Over the forecast period, the food and beverage (F&B) industry is anticipated to grow the fastest. Packaging and bottling operations extensively use machine vision systems in the food and beverage sector. Due to the growing safety culture and strict government regulations that force businesses to adopt advanced inspection procedures as part of automation, the food and beverage industry is one of the most important markets for machine vision systems.
• For the past ten years, machine vision's uniform and organized application in the food industry is due to ongoing advancements in its foundational methodologies, like image processing and pattern recognition. Furthermore, technological development made it possible to implement these machines at a lower cost.
• One of the main areas of scope where the machine vision systems find applications is in food inspection (concerning primarily defects or contaminants), quality control, and in some cases, assembly control of more complex foods (pizzas and layer cakes).
• One such application where machine vision is used is chocolate inspection, which regulates the chocolate amount that gets to the product. Any change in the amount of chocolate could push the price or cause the layer of chocolate to crumble, resulting in a faulty product or unsatisfied customers.

North America is Expected to Experience Rapid Growth

• For vendors of machine vision solutions, North America is a sizable market. Due to the early adoption of manufacturing automation and a sizeable number of market vendors with a regional origin, the regional market is anticipated to expand significantly throughout the forecast period.
• According to Association for Advancing Automation (A3), the sales of machine vision components and systems that provide vision intelligence to robots and other machines decreased in the first half of 2020. However, the market recovered in the second half in North America.
• Machine vision components include cameras, optics, lighting, imaging boards, and software. Machine vision systems, including application-specific machine vision (ASMV) and smart cameras, witnessed declining revenue but are expected to grow soon.
• However, the area continues to lead in product innovation, giving them a competitive advantage. Microchip Technology Corporation, a local business, unveiled its Smart Embedded Vision Initiative. The new ecosystem uses low-power PolarFire FPGAs from Microchip, high-speed imaging interfaces, image processing software, and an improved ecosystem of outside partnerships. This initiative aims to support machine vision developments for industrial, medical devices, automotive, and aerospace industries.
• Further, the Canadian company Matrox Imaging unveiled the Matrox Iris GTX model edge IoT devices and the following generation of smart cameras in May 2021. With the help of Matrox Design Assistant X on-device software, the company's Matrox Iris GTX smart cameras can perform deep learning inference in the form of image classification and segmentation in addition to more traditional machine vision tasks.
• Additionally, iENSO, a Canadian company, debuted its Ambarella-based platform ecosystem for embedded vision applications in May 2021. For the Edge, Ambarella Inc. offers AI vision processors.

Machine Vision Systems Market Competitor Analysis

The machine vision systems market is moderately fragmented and consists of several major players. Many companies are increasing their market presence by introducing new products, expanding their operations, or entering into strategic mergers and acquisitions. Product launches, high R&D expenditures, partnerships, and acquisitions are the primary growth strategies used by global corporations to stay competitive.

• September 2022 - Teledyne e2v's turnkey optical modules aim to accelerate and reduce the cost of developing embedded-vision systems for robotics, logistics, and lab equipment. Teledyne e2v launched its 2-megapixel Optimom, a collection of turnkey optical modules that can be 'instantly' integrated into embedded-vision systems. It is powered by a built-in low-noise global shutter image sensor from Teledyne e2v and includes a compact board, an industry-standard FPC connector, and complementary lenses.

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