PUBLISHER: The Business Research Company | PRODUCT CODE: 2149380
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149380
Artificial intelligence (AI) in textile refers to the use of artificial intelligence technologies, including machine learning, computer vision, predictive analytics, and automation, to optimize textile manufacturing processes, enhance product quality, and improve operational efficiency. It enables intelligent decision-making through the analysis of production data, detection of defects, demand forecasting, optimization of resource utilization, and automation of design and production workflows. It facilitates digital transformation across the textile value chain by increasing productivity, minimizing waste, and enabling data-driven manufacturing operations.
The primary components of artificial intelligence (AI) in textile include software, services, and hardware. Software refers to AI-enabled solutions used to analyze textile production data, identify quality issues, optimize manufacturing processes, and support decision-making across textile operations. These solutions utilize technologies such as machine learning, computer vision, natural language processing, predictive analytics, and robotics and automation and are deployed through cloud-based and on-premises models. They find application in quality control and defect detection, predictive maintenance, production planning and optimization, supply chain and inventory management, textile design and product development, demand forecasting, and sustainability and waste management, serving end users including textile manufacturers, apparel manufacturers, technical textile producers, fashion and retail brands, and textile processing companies.
Tariffs are influencing the artificial intelligence (AI) in textile market by increasing the cost of imported AI hardware, industrial sensors, smart cameras, computing equipment, and textile manufacturing machinery required for intelligent production operations. This is increasing implementation costs and potentially slowing adoption of AI-enabled quality control, predictive maintenance, production optimization, and supply chain applications, particularly in import-dependent regions such as Asia-Pacific and Latin America. Hardware-intensive segments such as AI vision inspection systems, edge AI computing devices, and GPU-based computing hardware are most affected due to global supply chain dependencies. However, tariffs are also encouraging local manufacturing, regional supplier diversification, domestic technology development, and investment in localized intelligent textile production ecosystems, creating long-term resilience in the market.
The artificial intelligence (AI) in textile market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in textile market statistics, including artificial intelligence (AI) in textile industry global market size, regional shares, competitors with a artificial intelligence (AI) in textile market share, detailed artificial intelligence (AI) in textile market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in textile industry. This artificial intelligence (AI) in textile 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 artificial intelligence (AI) in textile market size has grown exponentially in recent years. It will grow from $4.13 billion in 2025 to $5.54 billion in 2026 at a compound annual growth rate (CAGR) of 34.0%. The growth in the historic period can be attributed to increasing textile production volumes, rising demand for improved textile product quality, growing complexity of textile manufacturing processes, increasing production waste, and rising demand for manufacturing efficiency.
The artificial intelligence (AI) in textile market size is expected to see exponential growth in the next few years. It will grow to $17.65 billion in 2030 at a compound annual growth rate (CAGR) of 33.6%. The growth in the forecast period can be attributed to increasing demand for real-time production optimization, rising need for automated textile quality inspection, growing demand for accurate demand forecasting, increasing adoption of intelligent textile design solutions, and rising need for predictive maintenance of textile machinery. Major trends in the forecast period include increasing demand for personalized textile products, rising adoption of digital textile printing, growing demand for faster textile product development cycles, increasing emphasis on textile product traceability, and rising demand for customized textile production.
The increasing adoption of smart manufacturing practices is expected to drive the growth of the artificial intelligence (AI) in textile market in the coming years. Smart manufacturing practices refer to the use of connected digital technologies, automation, real-time data analytics, and intelligent systems to improve production efficiency, product quality, and operational performance across manufacturing facilities. The adoption of smart manufacturing practices is increasing due to advancements in digital technologies, which facilitate automation, real-time monitoring, and data-driven decision-making. Smart manufacturing practices integrate digital technologies, automation, and real-time data to support AI implementation in the textile industry, enabling process optimization, quality improvement, predictive maintenance, and efficient decision-making. For instance, in March 2024, according to Rockwell Automation, a U.S.-based industrial automation company, 95% of manufacturers were using or evaluating smart manufacturing technology in 2024, compared with 84% in 2023, representing an increase of 11 percentage points. Therefore, the increasing adoption of smart manufacturing practices is driving the growth of the artificial intelligence (AI) in textile market.
Major companies operating in the artificial intelligence (AI) in textile market are focusing on developing innovative solutions, such as AI-powered hyperspectral textile recognition systems, to improve material identification, automate sorting processes, and support efficient textile recycling. AI-powered hyperspectral textile recognition systems combine hyperspectral imaging with artificial intelligence algorithms to accurately identify textile fibers, blended materials, and contaminants by analyzing their unique spectral signatures, enabling precise real-time material classification beyond the capabilities of conventional vision systems. For instance, in April 2026, Specim, a Finland-based hyperspectral imaging solutions company, launched RETEX, an AI-powered hyperspectral textile recognition solution designed for automated textile material identification and separation. The solution combines hyperspectral cameras with AI-based classification software to identify fibers such as cotton, polyester, polyamide, viscose, wool, and acrylic, while also detecting blends, elastane, impurities, and colors in real time. RETEX supports scalable textile processing by enabling automated material separation, improving sorting accuracy, and enhancing recycling efficiency in industrial textile processing environments.
In March 2023, Smartex.AI S.A., a Portugal-based technology company, acquired Tuvis AI for an undisclosed amount. Through this acquisition, Smartex.AI S.A. aimed to strengthen its global engineering capabilities, expand its presence in the Turkish textile market, and enhance its AI-powered textile quality control platform by integrating Tuvis AI's deep learning expertise while establishing a new engineering technology center in Istanbul. Tuvis AI is a Turkiye-based artificial intelligence technology company specializing in providing AI solutions for textile use cases.
Major companies operating in the artificial intelligence (AI) in textile market are Lectra SA, Inspectorio Inc., CALA Inc., Desion GmbH, Browzwear Solutions Pte. Ltd., Alvanon Inc., TrusTrace AB, Material Exchange Ventures ApS, Shelton Machines Limited, Gridbots Technologies Private Limited, GoldenEye Smart Vision SAS, sewts GmbH, ColorDigital GmbH, AI-Guided Design Laboratory Limited, unspun inc., CountAI Technologies Private Limited, DataBeyond Technology Co. Ltd., Zhejiang Lingdi Digital Technology Co. Ltd.
Asia-Pacific was the dominant region in the artificial intelligence (AI) in textile market in 2025. North America is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) in textile market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in textile market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) in textile market consists of revenues earned by entities by providing services such as AI-powered quality inspection, fabric defect detection, predictive maintenance, production planning and optimization, demand forecasting, inventory optimization, process automation, and pattern recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in textile market also includes sales of AI-enabled smart cameras, edge AI devices, industrial sensors, machine vision systems, AI processors, robotics controllers, and textile production monitoring hardware. 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.
Artificial Intelligence (AI) In Textile Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai) in textile 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.
Where is the largest and fastest growing market for artificial intelligence (ai) in textile ? 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 artificial intelligence (ai) in textile 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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