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 Türkiye-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.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Textile Market Global Report 2026 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.
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Description
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 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.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- 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.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Software; Services; Hardware2) By Technology: Machine Learning; Computer Vision; Natural Language Processing; Predictive Analytics; Robotics And Automation
3) By Deployment Mode: Cloud-Based; On-Premises
4) By Application: Quality Control And Defect Detection; Predictive Maintenance; Production Planning And Optimization; Supply Chain And Inventory Management; Textile Design And Product Development; Demand Forecasting; Sustainability And Waste Management
5) By End User: Textile Manufacturers; Apparel Manufacturers; Technical Textile Producers; Fashion And Retail Brands; Textile Processing Companies
Subsegments:
1) By Software: Artificial Intelligence Design And Pattern Generation Software; Artificial Intelligence Quality Inspection Software; Artificial Intelligence Production Planning And Optimization Software; Artificial Intelligence Predictive Maintenance Software2) By Services: Artificial Intelligence Consulting Services; Implementation And Integration Services; Training And Support Services; Managed Artificial Intelligence Services
3) By Hardware: Artificial Intelligence Vision Inspection Systems; Edge Artificial Intelligence Computing Devices; Industrial Sensors And Smart Cameras; Graphics Processing Unit-Based Computing Hardware
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- 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.

