Industrial Machine Vision Market Forecasts to 2028 – Global Analysis By Component (Hardware, Software), Product (Smart Camera-Based Systems, Personal Computer-Based Systems) and By Geography
According to Stratistics MRC, the Global Industrial Machine Vision Market is accounted for $27.57 billion in 2021 and is expected to reach $60.56 billion by 2028 growing at a CAGR of 11.9% during the forecast period. The machine vision system is the substitution of the human visual sense and judgment capabilities with a video camera and computer to perform an inspection task. It is the automatic acquisition and analysis of images to obtain desired data for controlling or evaluating a specific part or activity. The machine vision consists of details of the project, requirements and after that coming with a solution. It includes the grouping of various software and hardware that guides operational devices to capture and process image.
Rising need for quality inspection and automation
Manufacturing companies across the world are planning to invest more in automation post COVID-19. Also, the need for automated quality assurance has increased as industries have realized its importance in manufacturing processes. This need is, however, further elevated due to the COVID-19 outbreak that has led to less human intervention in various processes. This has resulted in the widespread acceptance of machine vision as an integral part of long-term automation development processes. The use of machine vision in automated production processes helps identify problems in a short span of time. This, in turn, helps reduce costs and improve response times. Also, it helps recognize flawed goods, reducing the risk of return of products and ensuring higher customer satisfaction. The need for machine vision in quality assurance has increased as all products on the production lines are examined equally and with the same focus with this technology.
Concerns regarding the risk of cyber-attacks on industrial machine robots and devices
Concerns regarding the risk of cyber-attacks on industrial machine robots and devices are increasing in the recent times. A weakness hacking can be done easily through the scanners to survey Internet of Things (IoT) devices. Usernames and passwords unchanged from the factory defaults can also work as vulnerabilities or glitches in the software, which can be identified through reverse engineering. The growing reliance on connectivity and IoT devices such as AI embedded devices increases vulnerability to cyberattacks. Although manufacturers can exploit the benefits of AI machine vision and automation, they must also keep an eye on the basics of cyber health. Cyber protection includes downloading and installing the latest software and patches and also educating staff for the updated precautions for cybersecurity.
Growing demand for vision-guided robotic systems
Vision-guided robotics systems have led to significant changes in the industrial machine vision market. There has been a rapid increase in the use of industrial robots for automation in the automotive and consumer electronics sectors. This is leading to an increasing need for the integration of machine vision systems with vision-guided robot controllers. Machine vision systems enhance the efficiency of robots by allowing them to see and respond to their environments. For instance, when different car models are being assembled on a single production line, vision-guided robotics systems can identify the given situation and ensure the proper assembly of vehicles. If a robot is applying adhesive beading, a machine vision system can ensure that there are no gaps. A vision-guided robot is capable of working side-by-side with humans in a shared workspace, even without a protective fence, as it safely avoids any collision.
Shortage of skilled professionals
Lack of flexible machine vision solutions and shortage of skilled professionals in manufacturing factories are expected to act as the major challenge for the growth of industrial machine vision in the above mentioned forecasted period, whereas the lack of user awareness regarding the rapid change in the machine vision technology which can challenge the industrial machine vision market growth in the forecast period.
The smart camera-based systems segment is expected to be the largest during the forecast period
Machine vision systems, also called vision systems, consist of numerous cameras. At times, depending upon the requirements, these cameras are mounted over the assembly lines so as to observe and examine products and capture data. This is leading to the greater adoption of smart cameras in these systems. Cameras are also capable of reading labels and directing products automatically without any human involvement. Minimized human intervention has led to decreased errors and increased accuracy of inspecting labels and tags. These aspects of smart cameras are influencing the adoption of the technology across various industrial sectors, thereby fueling up the overall market growth.
The quality assurance and inspection segment is expected to have the highest CAGR during the forecast period
Industrial machine vision systems are extensively used for scanning and identifying labels, barcodes, and texts, especially in the packaging sector. This automates packaging activities, thereby saving time, avoiding human errors, and increasing efficiency. The technology is frequently used in the consumer goods, pharmaceutical, and packaging sectors. The adoption of technology in these sectors has resulted in reduced counterfeit products to a large extent, eventually driving the overall market.
Region with largest share:
Asia Pacific is projected to hold the largest market share owing to the lucrative opportunities in industrial applications in the region. Countries such China, Japan, and South Korea are expected to be the major contributors to the market in the region. Increased manufacturing operations contribute mainly to the economic development in China, while the rising demand to incorporate Industry 4.0 and advanced manufacturing techniques for increasing automation across various applications in India is contributing to the tremendous growth of AI in computer vision in Asia Pacific. As the region is establishing itself to become a global manufacturing hub, the technology is anticipated to gain significant traction over the forecast period. China and Japan are prominent countries having the potential to offer extensive opportunities for emerging as well as matured technologies, such as machine vision. The numerous manufacturing industries are contributing to the growth and prosperity of the region’s overall economic development.
Region with highest CAGR:
North America is projected to have the highest CAGR due to the early introduction of automation in manufacturing and the presence of a significant number of market vendors of regional origin. Government initiatives, such as Advanced Manufacturing Partnership, which is undertaken to make the industry, various universities, and the federal government invest in the emerging automation technologies, are expected to increase the production of machine vision systems.
Key players in the market
Some of the key players profiled in the Industrial Machine Vision Market include Teledyne Technologies, OMRON, Texas Instruments, Cognex, Baumer Optronic, National Instruments, Intel, KEYENCE Corporation, Sony, Basler, Tordivel, MVTec Software, ISRA VISION, JAI A/S, and SICK.
In August 2021: Keyence Corporation introduced a customizable vision system XG-X series Advanced programming interface with 3D and linescan capabilities for high-quality, high-speed inspection and control. The XG-X Series provides high-speed, high-resolution cameras for high-accuracy inspection, providing robust solutions to a wide range of manufacturing problems.
In March 2021: Cognex introduced Cognex Edge Intelligence (EI) which is used to help customers prevent downtime and boost the productivity of manufacturing and logistics operations by providing its barcode reading performance monitoring and device management.
In March 2021: Cognex has launched its new product called DataMan 8700 Series which is the next generation of handheld barcode readers built on a complete newly designed platform. The device delivers cutting-edge performance and very easy to use with no tuning or operator training required prior.
• Smart Camera-Based Systems
• Personal Computer-Based Systems
• Quality Assurance and Inspection
• Positioning and Guidance
End Users Covered:
• Food and Beverages
• Electronics and Semiconductor
• Rubber and Plastics
• Consumer Electronics
• Solar Panel Manufacturing
• Pharmaceuticals and Cosmetics
• Wood and Paper
• North America
o Rest of Europe
• Asia Pacific
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
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