The 3D Machine Vision Market Size was valued at USD 1.95 billion in 2022. The 3D Machine Vision market industry is projected to grow from USD 2.12 Billion in 2023 to USD 3.59 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 9.12% during the forecast period (2023 - 2030).
Growing demand for quality inspection and robotics across various industrial verticals is expected to drive the machine vision market over the next few years. Possible factors expected to drive the market expansion include the demand for vision-guided robotic systems in the automotive, food & beverage, medical & chemical, and Packaging industries. In addition, the demand for software machine vision systems is expected to accelerate the growth in technology adoption throughout the forecast period. These are the key market drivers enhancing the market growth.
Figure 1: 3D Machine Vision Market Size, 2023-2030 (USD Billion)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
Growing demand for quality inspection and automation across different verticals is likely to drive the machine vision market CAGR. Furthermore, demand for vision-guided robotic systems in the automotive, food & beverage, pharmaceutical & chemical, and packaging segments is expected to drive market growth. Surging demand for application-oriented machine vision systems is also driving the adoption of the technology over the forecast period. machine vision (MV) market involve the ability of a computer to see, inspect, and check the performance of work through the use of one or more cameras, digital signal processing, and analog-to-digital conversion. The captured data is then transferred to a computer for analysis and to provide the desired output.
Additionally, large pharmaceutical companies are developing cutting-edge anti-obesity medications for weight loss and management. The quantity of clinical trials conducted on obesity has made it the subject of most research nowadays. Ninety-three practices in the obesity medications channel spanning all stages of clinical results. Governmental organizations have several crucial responsibilities in a national public health emergency, such as the rising rate of childhood obesity. By tackling general obesity as a crucial public health preference and coordinating the public and private domain response, it demonstrates leadership. Despite stricter government guidelines and greater personal commitment, obesity rates worldwide continue to rise. Government regulations and levies may increase public awareness of weight control and compel the food and beverage industries to reduce the calorific value of their offerings.
Sensitivity and resolution are two important aspects of any MV system. Resolution is responsible for distinguishing objects, while sensitivity is a machine's ability to detect objects or faint pulses in dim light or when wavelengths are not visible. These systems are especially helpful in monitoring the working environment. It provides functions such as process control, robot guidance and automatic inspection in industrial applications. Industrial production and manufacturing activities are becoming increasingly complex, and the human eye's keen perception, observation and inspection of production activities have become more difficult and less reliable. Due to the increasing demand for efficient and reliable inspection and measurement, the technology is widely adopted in industrial operations and significantly replaces manual inspection and measurement. Machine vision systems deploy smart cameras and image processing for measurements and inspections.
The technology is gaining considerable traction in food and packaging, automotive, pharmaceutical and other verticals due to capabilities such as improved object detection, enhanced analytics, monitoring tolerances and accurate component measurements. All these factors are expected to drive global market growth over the forecast period. However, the need for efficient system operators due to insufficient training is a constraint that may hamper the steady growth of the market. Thus, driving the 3D Machine Vision market revenue.
Based on components, the 3D Machine Vision Market segmentation includes hardware and software. The hardware segment dominated the market. Hardware components include multiple objects such as cameras, sensors, processors, frame grabbers, LED lighting, optics, and more. Cameras will account for the largest share in 2022, owing to the growing demand for complementary metal-oxide-semiconductor (CMOS) imaging sensors. In turn, this is expected to lead to the growth of the hardware sub-segment.
Based on product, the 3D Machine Vision Market segmentation includes Smart Camera-Based, and PC Based. The PC-based category generated the most income. The segment is expected to continue to grow and lead the market in terms of revenue over the estimated duration. However, smart camera-based systems are expected to exhibit strong growth rates over the forecast period. This segment will exhibit the fastest CAGR from 2023 to 2030. The significant growth of this segment is attributed to the increasing popularity of cameras in 3D imaging.
Figure 2: 3D Machine Vision Market, by Distribution channel, 2022 & 2030 (USD billion)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
Based on application, the global 3D Machine Vision industry segmentation includes Measurement, Quality Assurance & Inspection. The quality assurance & inspection segment dominated the market. The system is widely used to scan and recognize labels, barcodes and texts, especially in the packaging industry. This automates packaging activities, saving time, avoiding human errors and increasing efficiency. The technology is frequently used in the consumer goods, pharmaceutical and Packaging industries. The adoption of technology in these areas has reduced counterfeiting to a great extent, ultimately serving the market as a whole to gain traction for more adoption.
The 3D Machine Vision Market data, based on vertical, includes Automotive, Semiconductor, Consumer Electronics, Healthcare, food and & Packaging & others. The Automotive category generated the most income. 3D machine vision in the automotive industry is widely used for inspection purposes, including presence-absence inspection, error proofing, assembly verification, and final inspection. In addition, MV systems are used for dimensional measurement, robot guidance and test automation purposes, falling under the measurement, measurement and guidance applications category. Hence, the demand for mechanized imaging across the automotive industry is high and expected to grow steadily in the coming years.
By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North American weight loss market will dominate this market, owing to the early adoption of automation in the manufacturing and healthcare industries. In North America, sales of machine vision components and systems that provide visual intelligence to robots and other machines grew significantly in 2018, according to the industry trade group AIA and part of the Association for Advancing Automation (A3).
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: 3D Machine Vision Market Share By Region 2022 (%)
Source Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe's 3D Machine Vision market accounts for the second-largest market share. Numerous manufacturing industries contribute to the growth and prosperity of the Region's overall economic development. Further, the German 3D Machine Vision market held the largest market share, and the UK 3D Machine Vision market was the fastest-growing market in the European Region.
The Asia-Pacific 3D Machine Vision Market is expected to grow at the fastest CAGR from 2023 to 2030. This growth can be attributed to lucrative opportunities in the Region for automotive, Packaging, pharmaceutical, and other industrial applications. As the Region is emerging as a global manufacturing hub, the technology is expected to gain significant traction over the forecast period. China and Japan are important countries with the potential to offer a wide range of opportunities for emerging and established technologies such as machine vision. Moreover, China’s 3D Machine Vision market held the largest market share, and the Indian 3D Machine Vision market was the fastest-growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development to expand their product lines, which will help the 3D Machine Vision market grow even more. Market participants are also undertaking various strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the 3D Machine Vision industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the global 3D Machine Vision industry to benefit clients and increase the market sector. The 3D Machine Vision industry has offered some of the most significant medical advantages in recent years. Major 3D Machine Vision market players, including General Mills Inc., Amway, Conagra Brands Inc., Cargill Incorporated, Abbott Laboratories, Kraft Foods Group Inc., and others, are attempting to increase market demand by investing in research and development operations.
Cognex Corporation is an American manufacturer of machine vision systems, software and sensors used in automated manufacturing to inspect and identify parts, detect defects, verify product assembly and guide assembly robots. Cognex is headquartered in Natick, Massachusetts, USA, with offices in over 20 countries. In July 2021, Cognex launched "VisionPro," a new line of vision software for industrial machine vision that enables customers to combine deep learning and traditional vision tools in the same application.
Omron's main business is manufacturing and selling automation components, equipment and systems. It is known for medical devices such as digital thermometers, blood pressure monitors and nebulizers in the consumer and medical markets. Omron developed the world's first electronic ticket gate, named an IEEE Milestone, in 2007 and was one of the first manufacturers of automated teller machines (ATMs) equipped with magnetic stripe readers. In March 2021, Omron launched the FH-SMD series of 3D vision sensors for robotic arms, enabling space-saving assembly, inspection, and pick-and-place applications.
OMRON Corporation (Japan)
Canon Inc. (Japan)
Cognex Corporation (US)
National Instruments (US)
Keyence Corporation (Japan)
Robotic Vision Technologies Inc. (US)
Coherent Inc. (US)
Sony Corporation (Japan)
Hermary Opto Electronics Inc. (Canada)
Basler AG (Germany)
April 2024: Teledyne e2v and Airy3D have begun a relationship to work together on technology and design in the field of imaging and 3D vision solutions. The goal of the partnership is to develop commercial 3D vision solutions that may be used in various market categories. The first outcome of the collaboration is the Topaz5D, a 2 MP CMOS sensor with a passive operation mode. This sensor has the ability to produce 3D depth maps in addition to 2D pictures. The collaborators have provided examples of monochrome and color sensors, as well as Topaz5D assessment equipment.
Machine vision, also known as computer vision or computer sight, involves the use of technical breakthroughs to enable machines, particularly computers, to understand and interpret visual input from the environment in a way that is similar to how the human visual system works. Computer vision involves developing and deploying systems and algorithms that allow machines to visually perceive, process, analyze, and interpret information.
In October 2023, Kitov.ai launched its K-BOX series of machine vision systems, which combine intelligent robotic planning, 3D imaging, and AI. K-BOX offers the same degree of capability as the company's Core+ visual inspection product. Core+ incorporates a range of machine vision methods, such as intelligent robotic planning, deep learning, automatic illumination control, and 2D/3D imaging. Instead of including an industrial robot in the delivery package, K-BOX offers APIs that enable the Kitov.ai software to communicate with most conventional or collaborative robots.
The system's software allows for the creation of an inspection plan using either a CAD file or 3D scans. Furthermore, it incorporates AI/deep learning techniques to enhance these solutions. In addition, K-BOX includes Kitov.ai's optical head, which has two lens options: 25 mm and 50 mm. The 25 mm lens provides a field of view of 82 x 68 mm and can detect defects as small as 100 µm. The 50 mm lens offers a field of view of 41 x 34 mm and can detect defects as small as 50 µm. The K-Box can be utilized in several machine vision applications, including automated tests.
Measurement
Quality Assurance & Inspection
North America
Europe
Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
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