AI Visual Inspection Market Set to Surge - Key Insights You Must Know

AI-based Visual Quality Inspection Market Size

The global market for AI-based Visual Quality Inspection was valued at US$ 2537 million in the year 2024 and is projected to reach a revised size of US$ 8120 million by 2031, growing at a CAGR of 17.8% during the forecast period.

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Quality control (QC) is not new to manufacturing; it has always been an essential part of the process. QC initially took the form of manual inspections, which allowed inspectors to visually assess products or goods for defects. This very manual and time-consuming approach contributed to the high number of false nuisance cases. These QC methods evolved as technology advanced and began including mechanical tools for inspection or optical reconnaissance to aid human inspectors.

This was significant progress, but two critical challenges remained: 1) human inspectors can only work for so long before they become fatigued; this affects their deft abilities to uncover minute flaws even though seasoned experts miss subtle defects. Additionally, current products are more complex, and production lines work faster than inspection solutions used to. This is when AI inspection systems come to assume the task.

AI-first inspection systems automate this otherwise manual process by leveraging artificial intelligence (deep learning), machine vision, and computer algorithms. The result is an image- or sensor-data processing system that can work in real-time to identify any number of detail defects and deviations beyond the capability of human recognition, with better accuracy than a person will ever have.

North American market for AI-based Visual Quality Inspection is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for AI-based Visual Quality Inspection is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The global market for AI-based Visual Quality Inspection in Electronics and Communications is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The major global companies of AI-based Visual Quality Inspection include Siemens, Trifork, Crayon, GFT Technologies, LandingAI, Lincode, SPIX industry, Fieldbox, Superb AI, Nordbo Robotics, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for AI-based Visual Quality Inspection, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-based Visual Quality Inspection.

By Type
• Hardware
• Software and Services

By Application
• Electronics and Communications
• Automobiles
• Consumer Products
• Industrial Raw Materials
• Equipment Manufacturing

Key Companies
Siemens, Trifork, Crayon, GFT Technologies, LandingAI, Lincode, SPIX industry, Fieldbox, Superb AI, Nordbo Robotics, Markovate, Neurala, Baidu Yunzhi (Beijing) Technolog, Qingdao AInnovation Technology Group, Tencent Cloud Computing, Changzhou Weiyi Intelligent Manufacturing Technology, Beijing aqrose technology, Cognex Vision Inspection System, Huawei Investment & Holding, XSKY, Lintu Technology, Fitow (Tianjin) Detection Technology, Shanghai SenseTime Intelligent Technology, Rongcheer Industrial Technology, LUSTER LightTech

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This release was published on openPR.