Machine Vision Systems

The Machine Vision Systems Market Research Study delivers current market analysis plus a five year market and technology forecast. The study is available in multiple editions including worldwide, all regions, and most major countries.

The machine vision (MV) market has witnessed burgeoning demand with a growing number of applications in automotive, electronics & electrical, semiconductor, food & beverage, robotics, medical, and other manufacturing industries. Machine vision technology helps computers recognize objects with greater accuracy and reliability and has replaced quality inspection performed by humans. Manufacturers employ machine vision to improve the traceability of their products for enhanced consistency, productivity, and overall quality.  The desire for quality may manifest itself in the form of the preferences of consumers who demand goods without defects or errors.  Likewise, OEMs expect zero defects from Tier 1 suppliers.  Industries where product defects could result in injury or death have regulatory requirements necessitating the use of vision.

Integration of Machine Learning with Machine Vision Bolsters Smart Factory Infrastructure 

Machine vision is a key technology in the area of manufacturing and quality control and will be essential for building Industry 4.0's smart factories.  The technology's ability to inspect, measure, scan, and detect objects has resulted in accelerated production processes, intelligent locomotion of robots, and enhanced automation.  Integration of machine learning with MV has revolutionized the role of MV in industrial automation and smart manufacturing.  The integration has enabled MV systems to adapt autonomously to manufacturing variations.  This has radically improved the value proposition for MV by improving operational efficiencies, accelerating inspection processes, and increasing production optimization.

Machine vision is an essential element for smart factory infrastructure due to its characteristics such as efficient communicating network and the intelligent exchange of information among sensors, devices, and machines.  MV systems becoming more efficient and robust will enhance inspection processes and robot productivity.  The demand for robotics has diversified across a broader range of industries. Robotic solutions address the seemingly insatiable demand in manufacturing today to increase flexibility, improve productivity, and employ human operators only in tasks where they can add the most value. 

Machine Vision Strategic Issues

In addition to providing a five-year market forecast, the MV Systems market research provides detailed quantitative current market data and addresses key strategic issues as follows.

Strategic Issue for Users: Ease of use

Ease-of-use continues to plague the machine vision market.  Still a highly technical market, MV products are endowed with highly sophisticated image processing algorithms and robust frame rates but remain complicated for the uneducated user.   

Strategic Issue for Machine Vision Suppliers: Tariff and Trade Tensions Put a Drag on the MV Market

The trade conflict between the US and China have led to shifts in supply chains and insecurity in markets all over the world.  The trade tariffs imposed by the US on certain components imported from Chinese suppliers have resulted in higher costs of MV products.  It has also impacted the economic climate in China, which in turn will impact supplier revenue from customers based in China.

Strategic Issue for All Market Participants: Economic Decline Due to COVID-19 

The COVID-19 outbreak has caused disruptions to global supply chains and business operations.  While the pandemic did not impact the 2019 demand for MV systems, the market projections do take into account industry trends with our best estimates for how COVID-19 will impact the MV market in different industries.