Global Intelligent Fabric Inspection Machine Market 2025 by Manufacturers, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Intelligent Fabric Inspection Machine market size was valued at US$ 37.1 million in 2024 and is forecast to a readjusted size of USD 66.7 million by 2031 with a CAGR of 9.0% during review period.
The intelligent fabric inspection machine is an automated device based on advanced sensing technology, image processing and artificial intelligence (AI) algorithms to detect and identify fabric surface defects. It is mainly used in the field of textile manufacturing to detect possible defects in the fabric during the production process, such as broken yarn, color difference, stains, holes, skipped stitches, etc., to ensure product quality and improve production efficiency.
The intelligent fabric inspection machine market is experiencing rapid growth, driven by the increasing demand for high-quality textiles, automation in manufacturing, and advancements in AI, machine vision, and IoT technologies. The textile industry is under constant pressure to improve efficiency, reduce material waste, and meet stringent quality standards, making automated inspection solutions more essential than ever. Traditional fabric inspection methods, which rely on human labor, are increasingly being replaced by AI-driven and machine vision-based fabric inspection machines that offer higher accuracy, faster processing speeds, and real-time defect detection. One of the primary market drivers is the growing demand for premium and defect-free textiles across industries such as fashion, home textiles, medical textiles, and automotive interiors. As global competition intensifies, textile manufacturers are investing in intelligent inspection systems to maintain strict quality control while reducing production costs.
This report is a detailed and comprehensive analysis for global Intelligent Fabric Inspection Machine market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Intelligent Fabric Inspection Machine market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (K US$/Unit), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Intelligent Fabric Inspection Machine
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Intelligent Fabric Inspection Machine market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Uster Technologies AG, YILI (Zhaoqing) Intelligent Technology Co.,ltd., Shaoxing Huansi Intelligent Technology Co., Ltd., OSHIMA Taiwan Co. Ltd., Strength Group, AI Machine Vision CORP., Blue Tech, China Telecom, Serkon.AI, Dolphin AI, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Intelligent Fabric Inspection Machine market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Detection speed up to 60 m/min
Detection speed up to 40 m/min
Other
Market segment by Application
Weaving Industry
Printing and Dyeing Industry
Clothing Industry
Other
Major players covered
Uster Technologies AG
YILI (Zhaoqing) Intelligent Technology Co.,ltd.
Shaoxing Huansi Intelligent Technology Co., Ltd.
OSHIMA Taiwan Co. Ltd.
Strength Group
AI Machine Vision CORP.
Blue Tech
China Telecom
Serkon.AI
Dolphin AI
Zhejiang Yuejian Intelligent Equipment Co., Ltd.
Bullmer
Juxi
Shuangqing
Baidu
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Intelligent Fabric Inspection Machine product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Intelligent Fabric Inspection Machine, with price, sales quantity, revenue, and global market share of Intelligent Fabric Inspection Machine from 2020 to 2025.
Chapter 3, the Intelligent Fabric Inspection Machine competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Intelligent Fabric Inspection Machine breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Intelligent Fabric Inspection Machine market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Intelligent Fabric Inspection Machine.
Chapter 14 and 15, to describe Intelligent Fabric Inspection Machine sales channel, distributors, customers, research findings and conclusion.
The intelligent fabric inspection machine is an automated device based on advanced sensing technology, image processing and artificial intelligence (AI) algorithms to detect and identify fabric surface defects. It is mainly used in the field of textile manufacturing to detect possible defects in the fabric during the production process, such as broken yarn, color difference, stains, holes, skipped stitches, etc., to ensure product quality and improve production efficiency.
The intelligent fabric inspection machine market is experiencing rapid growth, driven by the increasing demand for high-quality textiles, automation in manufacturing, and advancements in AI, machine vision, and IoT technologies. The textile industry is under constant pressure to improve efficiency, reduce material waste, and meet stringent quality standards, making automated inspection solutions more essential than ever. Traditional fabric inspection methods, which rely on human labor, are increasingly being replaced by AI-driven and machine vision-based fabric inspection machines that offer higher accuracy, faster processing speeds, and real-time defect detection. One of the primary market drivers is the growing demand for premium and defect-free textiles across industries such as fashion, home textiles, medical textiles, and automotive interiors. As global competition intensifies, textile manufacturers are investing in intelligent inspection systems to maintain strict quality control while reducing production costs.
This report is a detailed and comprehensive analysis for global Intelligent Fabric Inspection Machine market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Intelligent Fabric Inspection Machine market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (K US$/Unit), 2020-2031
Global Intelligent Fabric Inspection Machine market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (K US$/Unit), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Intelligent Fabric Inspection Machine
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Intelligent Fabric Inspection Machine market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Uster Technologies AG, YILI (Zhaoqing) Intelligent Technology Co.,ltd., Shaoxing Huansi Intelligent Technology Co., Ltd., OSHIMA Taiwan Co. Ltd., Strength Group, AI Machine Vision CORP., Blue Tech, China Telecom, Serkon.AI, Dolphin AI, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Intelligent Fabric Inspection Machine market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Detection speed up to 60 m/min
Detection speed up to 40 m/min
Other
Market segment by Application
Weaving Industry
Printing and Dyeing Industry
Clothing Industry
Other
Major players covered
Uster Technologies AG
YILI (Zhaoqing) Intelligent Technology Co.,ltd.
Shaoxing Huansi Intelligent Technology Co., Ltd.
OSHIMA Taiwan Co. Ltd.
Strength Group
AI Machine Vision CORP.
Blue Tech
China Telecom
Serkon.AI
Dolphin AI
Zhejiang Yuejian Intelligent Equipment Co., Ltd.
Bullmer
Juxi
Shuangqing
Baidu
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Intelligent Fabric Inspection Machine product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Intelligent Fabric Inspection Machine, with price, sales quantity, revenue, and global market share of Intelligent Fabric Inspection Machine from 2020 to 2025.
Chapter 3, the Intelligent Fabric Inspection Machine competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Intelligent Fabric Inspection Machine breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2020 to 2031.
Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2020 to 2031.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2020 to 2025.and Intelligent Fabric Inspection Machine market forecast, by regions, by Type, and by Application, with sales and revenue, from 2026 to 2031.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Intelligent Fabric Inspection Machine.
Chapter 14 and 15, to describe Intelligent Fabric Inspection Machine sales channel, distributors, customers, research findings and conclusion.
Table of Contents
114 Pages
- 1 Market Overview
- 2 Manufacturers Profiles
- 3 Competitive Environment: Intelligent Fabric Inspection Machine by Manufacturer
- 4 Consumption Analysis by Region
- 5 Market Segment by Type
- 6 Market Segment by Application
- 7 North America
- 8 Europe
- 9 Asia-Pacific
- 10 South America
- 11 Middle East & Africa
- 12 Market Dynamics
- 13 Raw Material and Industry Chain
- 14 Shipments by Distribution Channel
- 15 Research Findings and Conclusion
- 16 Appendix
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