PUBLISHER: Grand View Research | PRODUCT CODE: 1512082
PUBLISHER: Grand View Research | PRODUCT CODE: 1512082
The global surface vision and inspection market size is expected to reach USD 7.66 billion by 2030, growing at a CAGR of 9.3% from 2024 to 2030, according to a study conducted by Grand View Research, Inc. The growing complexity of manufacturing processes and the increasing demand for high-quality products are fueling the need for automated inspection solutions. Surface vision systems offer unparalleled accuracy and speed compared to manual inspection methods, enabling manufacturers to achieve consistent quality levels while improving productivity and efficiency. This automation trend is further accelerated by advancements in machine learning and artificial intelligence, which empower vision systems to adapt and learn from data, enhancing their inspection capabilities. Thus, these are the key factors expected to drive the surface vision and inspection market.
Market players are observed to be conceptualizing, designing, and engineering inspection systems in their vision systems labs. They incorporate deep learning and visual inspection tools such as 3D profiling and artificial intelligence vision innovations. For instance, in July 2023, Norwalt Design, an automated assembly machinery provider, launched a bottle vision inspection system named Vue Inspection System. The new product, developed in the Vision Systems Lab of the company, combines off-the-shelf vision components with deep learning resources and tailor-made features.
The anticipated rise in the adoption of surface vision systems across diverse industries like electronics & semiconductors, food & beverage, and aerospace & defense is driven by the pursuit of automation to reduce operational expenses, including labor costs. Integrating surface vision systems at different production stages enables manufacturers to optimize their manufacturing expenditures significantly, leading to overall savings in operational spending. Consequently, the benefits offered by vision systems and advanced technologies such as machine learning and deep learning are enticing manufacturers to embrace surface vision and inspection systems more rapidly.