Market Overview
According to DIResearch's in-depth investigation and research, the global Vision Inspection System for Glass Defect Detection market size will reach 1,302.34 Million USD in 2025 and is projected to reach 1,820.34 Million USD by 2032, with a CAGR of 4.90% (2025-2032). Notably, the China Vision Inspection System for Glass Defect Detection market has changed rapidly in the past few years. By 2025, China's market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
A vision inspection system for glass defect detection is a sophisticated technology used in manufacturing to identify and categorize defects in glass products. This system typically involves high-resolution cameras and specialized software capable of analyzing images in real-time. These cameras capture images of the glass surface, which are then processed by the software to detect imperfections such as scratches, chips, bubbles, cracks, or other anomalies. Advanced algorithms in the software can differentiate between acceptable and unacceptable defects based on predefined criteria, ensuring that only high-quality glass products pass inspection. By automating this process, the vision inspection system enhances quality control, reduces manual inspection time, and improves overall production efficiency in industries such as automotive, electronics, packaging, and construction, where high-quality glass is crucial.
The major global manufacturers of Vision Inspection System for Glass Defect Detection include ISRA vision, Softsolution, Dr. Schenk, LUSTER LightTech, Viprotron, Deltamax Automazione, Inspection Systems, Hunan Creator Information Technologies, GEHITEK VISIÓN ARTIFICIAL, CLOUD LASER, Dark Field Technologies, Gridbots Glasso, Saituo Information Technology, Zhejiang-IV Robot, MVI Technology, DPS-Vision, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Vision Inspection System for Glass Defect Detection. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Vision Inspection System for Glass Defect Detection market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Vision Inspection System for Glass Defect Detection market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Vision Inspection System for Glass Defect Detection industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Vision Inspection System for Glass Defect Detection Include:
ISRA vision
Softsolution
Dr. Schenk
LUSTER LightTech
Viprotron
Deltamax Automazione
Inspection Systems
Hunan Creator Information Technologies
GEHITEK VISIÓN ARTIFICIAL
CLOUD LASER
Dark Field Technologies
Gridbots Glasso
Saituo Information Technology
Zhejiang-IV Robot
MVI Technology
DPS-Vision
Vision Inspection System for Glass Defect Detection Product Segment Include:
Accuracy≥0.2m
Accuracy≥0.1m
Others
Vision Inspection System for Glass Defect Detection Product Application Include:
Photovoltaic Glass
Architectural Glass
Automotive Glass
Home Appliance Glass
Electronic Glass
Initial Glass
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Vision Inspection System for Glass Defect Detection Industry PESTEL Analysis
Chapter 3: Global Vision Inspection System for Glass Defect Detection Industry Porter's Five Forces Analysis
Chapter 4: Global Vision Inspection System for Glass Defect Detection Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis
Chapter 5: Global Vision Inspection System for Glass Defect Detection Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 6: Global Vision Inspection System for Glass Defect Detection Sales, Revenue, Price and Forecast by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 8: Industrial Chain Analysis, Vision Inspection System for Glass Defect Detection Different Application Market Analysis (Sales and Revenue), Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
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