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Automatic Visual Inspection Systems Market Overview, Outlook, Size, Share 2024-2033 |
Automatic Visual Inspection Systems Market
The automatic visual inspection systems market size is expected to see rapid growth in the next few years. It will grow to $26.71 billion in 2028 at a compound annual growth rate (CAGR) of 12.5%. The growth in the forecast period can be attributed to increasing demand for quality control and inspection in manufacturing, demands for quality assurance, increases in production volumes, increasing acceptance and investments in industry 4.0, increasing application in the automobile sector. Major trends in the forecast period include technological advancements in machine vision technology, integration of advanced technologies and systems, advanced AVIS technologies, integration of automation inspection systems into production processes, adoption of industry 4.0 principles for data-driven insights.
Market Overview -
Automatic visual inspection systems (AVIS), also known as machine vision systems or automated optical inspection (AOI) systems, are technologies designed to automatically inspect and analyze objects or products using cameras, sensors, and image processing algorithms. This system is a reliable and efficient way to inspect products in manufacturing environments, reducing the need for manual inspection and improving productivity while ensuring consistent product quality.
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Rapid Growth Of Automatic Visual Inspection Systems Market Fueled By Surging Adoption Of Industry 4.0 And Smart Factory Technologies
The increasing adoption of Industry 4.0 and smart factory concepts is expected to propel the growth of the automatic visual inspection systems market going forward. Industry 4.0 and smart factory concepts involve integrating advanced technologies, such as IoT, artificial intelligence, and automation, to create interconnected, intelligent, and efficient industrial systems. Industry 4.0 and smart factories leverage automatic visual inspection systems to enhance quality control and efficiency through real-time, data-driven analysis of production processes. For instance, in May 2022, according to a survey of 321 manufacturers conducted by Rockwell Automation, Inc., a US-based provider of industrial automation and digital transformation technologies, the adoption of smart factory technologies witnessed a remarkable 50% year-over-year growth. Moreover, 74% of surveyed manufacturers are either utilizing or planning to integrate artificial intelligence into their manufacturing operations. Additionally, 83% of manufacturing professionals will upgrade their modernization processes into smart factories. Therefore, the increasing adoption of Industry 4.0 and smart factory concepts is driving the growth of the automatic visual inspection systems market.
Competitive Landscape -
Major companies operating in the automatic visual inspection systems market are Hitachi Ltd., Mitsubishi Electric Corporation, Nidec Corporation, Atlas Copco AB , KLA Corporation, OMRON Corporation, Keyence Corporation, FANUC Corporation, Zebra Technologies Corporation, Teledyne Technologies Incorporated, Mettler-Toledo International Inc., SICK AG., National Instruments Corporation, Syntegon Technology GmbH, Stevanato Group, Cognex Corporation, Datalogic S.p.A., Basler AG, Vitronic Machine Vision Ltd., Stemmer Imaging Ltd., ViTrox Corporation, Baumer Inspection GmbH, Pleora Technologies Inc., Viscom AG , ISRA Vision GmbH, ASC International, NDC International, Qualitas Technologies, VisionGauge, Shanghai VisionTech
Innovative AI Inspection Software Revolutionizes Semiconductor Manufacturing
Major companies operating in the automatic visual inspection systems market are focused on developing innovative solutions, such as Cohu's DI-Core analytics platform, to sustain their position in the market. Cohu's DI-Core analytics platform is an artificial intelligence (AI) based inspection software that enhances visual inspection accuracy. It is a cutting-edge system designed to improve equipment performance and address Industry 4.0 and factory automation initiatives in the semiconductor manufacturing industry. For instance, in November 2023, Cohu Inc., a US-based semiconductor test handling equipment provider, launched Cohu's DI-Core analytics platform, a new artificial intelligence (AI) inspection software. It offers real-time processing, enhancing visual inspection accuracy for semiconductor manufacturers operating at production speeds. It distinguishes micro-scale defects from cosmetic patterns more accurately than existing methods, utilizing proprietary deep learning and neural network technologies. This product aims to boost inspection yield without compromising quality.
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Key Segments -
The automatic visual inspection systems market covered in this report is segmented -
1) By Type: 2D Systems, 3D Systems, Camera Systems, Machine Vision Systems, PC Based Systems, Other Types
2) By Component: Hardware, Software, Services
3) By Application: Surface Inspection, Quality Control And Inspection, Measurement, Other Applications
4) By End-Use: Automotive, Semiconductor And Electronics, Food And Beverage, Packaging, Pharmaceutical, Healthcare, Other End-Uses
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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