Fabric Defect Detection Artificial Intelligence (AI) Global Market Report 2025
상품코드:1877644
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계의 직물 결함 검출 AI 시장 규모는 최근 급속히 확대되고 있습니다. 2024년 4억 달러에서 2025년에는 4억 6,000만 달러에 달하고, CAGR 15.6%로 성장이 전망되고 있습니다. 지난 몇 년간의 성장은 첨단 검사 기술에 대한 투자 증가, 의류 산업에서 무결함 직물에 대한 수요 증가, 섬유 제조 업계 전반의 산업 자동화 도입 확대, 세계 제품 품질 기준에 대한 의식 향상, 생산 효율과 일관성 향상을 위한 AI 기반 품질 감시 시스템 도입 확대 등이 요인으로 생각됩니다.
직물 결함 검출 AI 시장 규모는 향후 수년간 급속한 성장이 예상됩니다. 2029년까지 15.2%의 연평균 복합 성장률(CAGR)로 8억 1,000만 달러에 이를 전망입니다. 예측기간의 성장요인으로는 AI 탑재 직물 검사 시스템의 보급 확대, 스마트 제조 솔루션에 대한 수요 증가, 세계적인 섬유 생산량 증가, 제조 폐기물 감축에 대한 주목 상승, 품질 향상을 위한 R&D 투자 증가 등을 들 수 있습니다. 예측기간 중에 예상되는 주요 동향으로는 AI와 머신러닝의 통합 기술의 진보, 완전 자동 검사 시스템의 개발, 실시간 결함 검출 기술의 혁신, 클라우드 기반의 모니터링 및 분석 플랫폼의 진전, 정밀한 원단 품질 관리를 위한 스마트 센서의 출현 등을 들 수 있습니다.
섬유 제품에 대한 수요 증가는 향후 수년간 직물 결함 감지 AI 시장의 성장을 이끌 것으로 예측됩니다. 섬유 제품은 섬유를 직조, 뜨개질 또는 결합하여 제조되는 재료를 의미하며, 의류, 가구 및 기타 용도에 사용되는 직물을 의미합니다. 세계 인구 증가와 도시화에 따라 확대되는 생활양식과 인프라를 지원하는 의류, 가정용 패니싱, 산업용 패브릭에 대한 수요가 높아지면서 섬유제품 수요가 증가하고 있습니다. 직물 결함 감지 AI은 결함을 신속하게 식별 및 수정하고 재료 폐기를 최소화하고 제품이 고수준 소비자 기준을 충족하는지 확인함으로써 일관된 품질을 유지하며 섬유 산업을 지원합니다. 예를 들어, 2025년 10월에 스위스에 본부를 둔 국제기구인 세계무역기관(WTO)이 발표한 데이터에 따르면 섬유제품의 무역액은 2024년 전년 대비 2% 증가했으며, 2025년 상반기에는 전년 동기 대비 7%라는 대폭적인 성장을 기록했습니다. 따라서 섬유 제품에 대한 수요가 증가함에 따라 직물 결함 감지 AI 시장의 확대가 촉진되고 있습니다.
직물 결함 검출 AI 시장에서 사업을 전개하는 주요 기업은 연속 실시간 모니터링을 가능하게 하는 섬유 스캔 기술 등의 첨단 솔루션 개발에 주력하고 있습니다. 섬유 스캔 기술은 센서 및 이미지 시스템을 사용하여 섬유 제품을 검사하고 생산 공정 중 결함과 불규칙성을 자동으로 식별하는 기술입니다. 예를 들어, 2024년 3월에는 튀르키예를 거점으로 하는 AI 솔루션 제공업체인 Serkon Teknoloji Inc.가 직물 표면의 결함을 생산 라인의 속도로 검출하는 인공지능 직물 스캔 기술 QBar.AI를 발표했습니다. QBar.AI는 직물의 고해상도 이미지를 촬영하고 AI 시스템으로 처리하여 니트, 직물, 데님 소재의 구멍, 얼룩, 직조 불균일성 등의 결함을 정확하게 식별합니다. 결함이 감지되면 즉시 작업 팀에 경고를 내리고 기계를 자동으로 정지시켜 불량 직물의 추가 생산을 방지합니다. 이 시스템은 각 결함의 정확한 위치를 나타내므로 신속한 시정 조치가 가능해져 수동 검사에 대한 의존도를 줄일 수 있습니다. 이더넷, COM 포트, Wi-Fi, 블루투스를 통해 기존 생산 라인과 호환되며 QBar.AI는 여러 형식으로 데이터를 내보냅니다. 이는 보고 효율성을 향상시키고 폐기물을 줄이고 일관된 제품 품질을 보장합니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 직물 결함 검출 AI 시장 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 직물 결함 검출 AI 시장 : 성장률 분석
세계의 직물 결함 검출 AI 시장 실적 : 규모와 성장, 2019-2024년
세계의 직물 결함 검출 AI 시장 예측 : 규모와 성장, 2024-2029년, 2034F
세계의 직물 결함 검출 AI : 총 시장 규모(TAM)
제6장 시장 세분화
세계의 직물 결함 검출 AI 시장 : 컴포넌트별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
소프트웨어
하드웨어
서비스
세계의 직물 결함 검출 AI 시장 : 전개 모드별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
On-Premise
클라우드
세계의 직물 결함 검출 AI 시장 : 기술별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
머신러닝
딥러닝
컴퓨터 비전
기타 기술
세계의 직물 결함 검출 AI 시장 : 최종 사용자별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
섬유산업
의류 산업
홈 퍼니싱
자동차용 텍스타일
기타 최종 사용자
세계의 직물 결함 검출 AI 시장 : 소프트웨어 유형별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
영상 처리 소프트웨어
결함 분석 소프트웨어
품질 관리 관리 소프트웨어
패턴 인식 소프트웨어
머신러닝 및 AI 분석 소프트웨어
세계의 직물 결함 검출 AI 시장 : 하드웨어 유형별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
카메라 및 이미징 센서
조명 시스템
광학식 스캐너
자동검사기
엣지 컴퓨팅 디바이스
세계의 직물 결함 검출 AI 시장 : 서비스 유형별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
설치 및 통합 서비스
보수 및 서포트 서비스
컨설팅 및 권고 서비스
교육 및 교육 서비스
클라우드 기반 모니터링 서비스
제7장 지역별/국가별 분석
세계의 직물 결함 검출 AI 시장 : 지역별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
세계의 직물 결함 검출 AI 시장 : 국가별, 분석과 예측, 2019-2024년, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 프로파일
직물 결함 검출 AI 시장 : 경쟁 구도
직물 결함 검출 AI 시장 : 기업 프로파일
Keyence Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
Shenzhen Chaoqiang Technology Co. Ltd. : 개요, 제품 및 서비스, 전략 및 재무 분석
BarcoVision : 개요, 제품 및 서비스, 전략 및 재무 분석
Zhejiang Cixing Co. Ltd. : 개요, 제품 및 서비스, 전략 및 재무 분석
VITRONIC Machine Vision Ltd. : 개요, 제품 및 서비스, 전략 및 재무 분석
Fabric defect detection artificial intelligence (AI) refers to the application of AI technologies to automatically identify flaws or inconsistencies in textile materials. It utilizes machine learning and computer vision algorithms to examine fabric surfaces and detect defects such as holes, stains, uneven weaving, or color variations.
The primary components of fabric defect detection AI include software, hardware, and services. The software component comprises advanced algorithms, machine learning models, and image processing platforms designed to identify defects in real time. The system can be deployed through on-premises or cloud-based modes and incorporates various technologies, including machine learning, deep learning, computer vision, and others. It is utilized by multiple end users such as the textile industry, the apparel industry, home furnishing, automotive textiles, and other related sectors.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The fabric defect detection artificial intelligence (AI) market research report is one of a series of new reports from The Business Research Company that provides fabric defect detection artificial intelligence (AI) market statistics, including fabric defect detection artificial intelligence (AI) industry global market size, regional shares, competitors with a fabric defect detection artificial intelligence (AI) market share, detailed fabric defect detection artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the fabric defect detection artificial intelligence (AI) industry. This fabric defect detection artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The fabric defect detection artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $0.40 billion in 2024 to $0.46 billion in 2025 at a compound annual growth rate (CAGR) of 15.6%. The growth in the historic period can be attributed to increasing investments in advanced inspection technologies, the rising need for defect-free fabrics in the apparel industry, the growing adoption of industrial automation across textile manufacturing, increasing awareness of global product quality standards, and the expanding implementation of AI-based quality monitoring systems to enhance production efficiency and consistency.
The fabric defect detection artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $0.81 billion in 2029 at a compound annual growth rate (CAGR) of 15.2%. The growth in the forecast period can be attributed to the increasing adoption of AI-powered fabric inspection systems, the rising demand for smart manufacturing solutions, the growth in global textile production, the increasing focus on reducing manufacturing waste, and the rising investments in research and development for quality enhancement. Key trends anticipated during the forecast period include advancements in AI and machine learning integration, the development of fully automated inspection systems, innovations in real-time defect detection technologies, progress in cloud-based monitoring and analytics platforms, and the emergence of smart sensors for precise fabric quality control.
The increasing demand for textiles is expected to drive the growth of the fabric defect detection artificial intelligence (AI) market in the coming years. A textile refers to a material produced by weaving, knitting, or bonding fibers together to create fabric used in clothing, furnishings, or other applications. The demand for textiles is increasing due to the growing global population and urbanization, which raise the need for clothing, home furnishings, and industrial fabrics to support expanding lifestyles and infrastructure. Fabric defect detection artificial intelligence (AI) supports the textile industry by maintaining consistent quality, as it rapidly identifies and corrects defects, minimizes material waste, and ensures products meet high consumer standards. For example, in October 2025, according to the World Trade Organization (WTO), a Switzerland based international organization, the trade of textile products increased by 2 percent in 2024 compared to 2023, followed by a significant 7 percent growth in the first half of 2025 compared to the same period in 2024. Therefore, the growing demand for textiles is fueling the expansion of the fabric defect detection artificial intelligence (AI) market.
Key companies operating in the fabric defect detection artificial intelligence (AI) market are concentrating on developing advanced solutions such as fabric scanning technologies to enable continuous real time monitoring. Fabric scanning technology involves the use of sensors or imaging systems to examine textiles and automatically identify defects or irregularities during production. For example, in March 2024, Serkon Teknoloji Inc., a Turkey based AI solutions provider, introduced QBar.AI, an artificial intelligence fabric scanning technology that detects defects on the fabric surface at the flow rate. QBar.AI captures high resolution images of fabrics and processes them through an AI system that accurately identifies defects such as holes, stains, or weave inconsistencies across knitted, woven, and denim materials. When a defect is detected, it immediately alerts the operations team and can automatically stop the machine to prevent further production of faulty fabric. The system also indicates the exact location of each imperfection, enabling quick corrective measures and reducing dependence on manual inspection. Compatible with existing production lines through Ethernet, COM port, Wi Fi, or Bluetooth, QBar.AI exports data in multiple formats, improving reporting efficiency, reducing waste, and ensuring consistent product quality.
In March 2023, Smartex, a Portugal based provider of AI powered fabric inspection systems, acquired Tuvis for an undisclosed amount. Through this acquisition, Smartex aims to enhance its technological capabilities in AI driven textile inspection, enabling real time defect detection and data based analysis for textile manufacturers. Tuvis is a Turkey based company specializing in fabric defect detection artificial intelligence (AI).
North America was the largest region in the fabric defect detection artificial intelligence (AI) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in fabric defect detection artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the fabric defect detection artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The fabric defect detection artificial intelligence (AI) market consists of revenues earned by entities by providing services automated defect inspection, real-time fabric quality monitoring, weaving defect detection, and yarn irregularity analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The fabric defect detection artificial intelligence (AI) market also includes sales of high-resolution industrial cameras, line scan cameras, area scan cameras, and hyperspectral imaging cameras. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Fabric Defect Detection Artificial Intelligence (AI) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on fabric defect detection artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for fabric defect detection artificial intelligence (ai) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The fabric defect detection artificial intelligence (ai) market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Software; Hardware; Services
2) By Deployment Mode: On-Premises; Cloud
3) By Technology: Machine Learning; Deep Learning; Computer Vision; Other Technologies
4) By End-User: Textile Industry; Apparel Industry; Home Furnishing; Automotive Textiles; Other End-Users
Subsegments:
1) By Software: Image Processing Software; Defect Analysis Software; Quality Control Management Software; Pattern Recognition Software; Machine Learning And AI Analytics Software
2) By Hardware: Cameras And Imaging Sensors; Lighting Systems; Optical Scanners; Automated Inspection Machines; Edge Computing Devices
3) By Services: Installation And Integration Services; Maintenance And Support Services; Consulting And Advisory Services; Training And Education Services; Cloud-Based Monitoring Services
4. Fabric Defect Detection Artificial Intelligence (AI) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Fabric Defect Detection Artificial Intelligence (AI) Growth Analysis And Strategic Analysis Framework
5.1. Global Fabric Defect Detection Artificial Intelligence (AI) PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
