AI in Textile Market Size, Share, By Solution, Technology, Application, End-Use Industry, and By Region - Trends, Analysis and Forecast till 2035

• AI in textile market size is expected to grow at USD 22.5 billion by 2035.
• The target market was valued at USD 3.0 billion in 2024.
• Target market is expanding at a CAGR of 24.8%.

Artificial Intelligence (AI) systems are one of the options available in the textile industry to integrate the elements, such as production, quality, cost, information, statistical process control, just-in-time manufacturing, and computer integrated manufacturing. The market growth is driven by the increasing productivity while reducing the need for manual labor, better quality textiles, and rising consumer preference for personalized products. In addition, the increasing demand for intelligent fabrics & wearable technologies are the other factors propelling growth of the global market. Furthermore, technological advancements, which increases the efficiency and cost-effectiveness of production is also anticipated to create opportunities for growth of the global market over the forecast period.

Key Takeaways:

• North America held the largest share of the market in 2024 due to region's advanced technological infrastructure.
• Asia Pacific is projected to be the fastest-growing market in the coming years. This is due to rising focus on battery technology for industrial and economic development.

Key Drivers of Target Market:

Sustainability Trend among Consumers can Drive Target Market Expansion

The convergence of increasing environmental awareness, dynamic regulatory requirements, and the push for sustainability has created immense challenges for the textile industry. However, emerging technologies, such as Science-Based AI are positioned to play a central role in overcoming these challenges and unlocking new opportunities for sustainable growth and development. It aids in optimizing processes, reducing waste, improving resource management, increasing product longevity, and engaging consumers more effectively, further aiding the AI in textile market growth.

• For instance, in July 2024, Prime Minister Narendra Modi praised KOSHA.ai on "Mann Ki Baat" for using AI to advance the handloom and sustainable textile sectors, support artisans, and promote eco-friendly practices. This Bengaluru-based startup leverages artificial intelligence (AI) to support the handloom and sustainable textile sectors. This recognition underscores the critical role that modern technology, particularly AI, can play in preserving cultural heritage while promoting eco-friendly practices.

Restrains:

Limitations of AI can Hamper the Growth of the Market

The adoption of AI in technical textiles has its challenges, which limit market growth. High initial investment costs, lack of skilled professionals, concerns over data privacy & intellectual property, job displacement, complexity & maintenance, data dependency, loss of human creativity, over-reliance on automation, technical limitations, and among others are some of the industry's hurdles. 

• Counterbalance Statements: To address the limitations of AI in the textile industry, various solutions and strategies can be implemented such as gradual implementation and phased adoption, training programs, improvement of data management & quality, establishment of clear policies on the responsible use of AI, and others.

Opportunities & Market Trends:

New innovations will Create Significant Opportunities in Upcoming Years

Integrating AI in textiles delivers unprecedented efficiencies, precision, and innovations to transform the industry. New innovations including smart textiles, textile robotics, personalized textiles, and others are expected to create significant opportunities in upcoming years.

For instance, in October 2024, IIT Delhi and Headquarters Maintenance (HQ) Command, Indian Air Force Nagpur have signed a memorandum of understanding (MoU) to collaborate on advancing innovative technologies for aviation textiles. Under the MoU, IIT Delhi and HQ Maintenance, IAF Nagpur, will co-operate, collaborate and promote research and development in areas of obsolescence management, self-reliance, upgradations and digitisation through indigenisation in the field of aviation grade textiles.

The market is segmented based on solution, technology, application, end-user, and region. 

Solution

On the basis of solution, the AI in textile industry is segmented into software, hardware, and services. The hardware segment dominates the target market growth due to widespread usage in various textile industries.  

• For instance, in August 2024, Jack, a prominent sewing equipment manufacturer and AI solutions provider based in China, plans to establish its first manufacturing plant in India, marking its first expansion outside of China. The company aims to advance unmanned production and develop humanoid robots by integrating software, hardware and AI technology. 

Technology

The AI in textile industry by technology is segmented into machine learning, natural language processing, computer vision, robotics, big data analytics, and others. The machine learning segment holds the largest AI in textile market share due to its versatile applications, efficiency, and others.

• For instance, in March 2024, Bhimani and project director Katie Shaw launched Supply Trace, an open-access platform that combines machine learning with on-the-ground research to sniff out risks of forced labor in the global apparel supply chain.

Application

The AI in textile industry by application is segmented into production, quality control & inspection, predictive maintenance, design & trend forecasting, supply chain optimization, personalization & customization, and others. The predictive maintenance segment is expected to dominate the target market growth due to its enhancing operational efficiency and reducing downtime in the textile industry.

• For instance, in January 2024, the Faserinstitut Bremen Research Institute (Bremen, Germany) and the Chemnitz University of Technology (Chemnitz, Germany) teamed up to develop an Industry 4.0 PdM digital monitoring system for the textiles industry. It aims at observing degrees of wear of card clothing over time and offers new possibilities for maintenance prediction and textile production planning.

End-Use Industry

• The AI in textile industry by end-use industry is segmented into residential, industrial, and commercial. The industrial segment is expected to dominate the target market growth due to its enhancing operational efficiency in the textile industry.

Regional

Geographically, the market is studied across North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa.

North America: North America region is expected to dominate the growth of the market during forecast period due to advanced technological infrastructure, the strong presence of numerous innovative tech companies, research institutions, robust investment in research and development, the availability of skilled professionals, high demand for innovative and sustainable practices, and others.

• For instance, in December 2024, Infopine Inc. has strengthened its presence in the U.S. with its AI-driven ERP solution, iTexClouds, specifically designed for the textile industry. This purpose-built software enables textile businesses to achieve rapid ROI while meeting sustainability goals.

Asia Pacific: Asia Pacific region is considered to be the fastest growing region in the target market as countries, such as India, China, and many more are leading the charge significantly due to the expansion of local enterprises and the government initiatives that are focused on advancements in the AI technology.

• For instance, in September 2024, Minister of Textiles Giriraj Singh has launched the VisioNxt Fashion Forecasting Initiative, along with the India-specific Fashion Trend Book, Paridhi 24x25. The bilingual web portal, developed by the National Institute of Fashion Technology (NIFT), aims to provide trend insights tailored specifically to India's diverse fashion market.

AI in Textile Market Report Scope:

Segmentation:

By Solution:

• Software
  • Design Software
  • Predictive Maintenance Solutions
  • Quality Inspection Tools
  • Others
• Hardware
  • Robotics Parts
  • Vision Systems
  • Others
• Services
  • Consulting
  • Implementation
  • Maintenance Services
  • Others

By Technology:

• Machine Learning
• Natural Language Processing
• Computer Vision
• Robotics
• Big Data Analytics
• Others

By Application:

• Production
• Quality Control & Inspection
• Predictive Maintenance
• Design & Trend Forecasting
• Supply Chain Optimization
• Personalization & Customization
• Others

By End User:

• Residential
• Commercial
• Industrial

By Region:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • U.K.
  • France
  • Russia
  • Italy
  • Spain
  • Netherlands
  • Switzerland
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • Indonesia
  • Malaysia
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • Israel
  • South Africa
  • Rest of Middle East & Africa

The key players operating in the AI in textile market include H&M Group., STITCH FIX, Levi Strauss & Co, SAP, Siemens, and among Others. These key players focusing on different organic and inorganic strategies such as acquisition, merger, partnership, agreement, product launch, and approval to expand their product portfolio and strengthen their market presence globally.

List of Key Players in the Market:

• H&M Group.
• STITCH FIX
• Levi Strauss & Co
• SAP
• Siemens
• Oracle
• Hexcel Corporation
• STELLA MCCARTNEY
• ADIDAS
• Schoeller Switzerland
• SMARTEX.AI
• SPINNOVA
• Unspun
• THE LYCRA COMPANY

• In September 2024, Leading global designer and producer of commercial textiles, Camira, has introduced the first AI-powered image search tool in the industry in the U.K. to help architects and design professionals with the specification process.
• In October 2024, Lectra supports the digital transformation and the transition towards Industry 4.0 of fashion, automotive and furniture companies. The Group has announced the launch of Valia Fashion, its new intelligent digital platform designed for the fashion industry. It combines the power of artificial intelligence and Lectra's unique expertise in fashion.
• In August 2024, Kochi-based Seematti Textiles has taken the lead in using artificial intelligence to create its unique brand ambassador. The textile brand is introducing Isha Ravi, the AI fashion model, who will be its official face in the Indian fashion world.
• In March 2024, Walmart, the world’s leading omnichannel retailer, announced a pilot project with unspun, a pioneering fashion tech company using the world’s first 3D weaving technology, a collaboration that, if successful, could help reduce the environmental impact of garment production, offer a more sustainable process for meeting apparel demand and support the companies’ shared commitment to shift more textile manufacturing back to the U.S.
• In October 2023, H&M Group’s print-on-demand merchandise service Creator Studio has unveiled the retail group’s first use of AI, with a generative AI-powered custom clothing creation tool. The new AI tool enables anyone to mock up and produce garments utilizing AI-generated custom visual artworks based on text input by the user.

Analyst View:      

The industry for AI in textile industry is placed for substantial growth due increasing productivity while reducing the need for manual labor, better quality textiles, rising consumer preference for personalized products, increasing demand for intelligent fabrics and wearable technologies. New innovations and development, advance technologies as well as many collaborations and partnerships helps to boost the growth of the market in upcoming years.

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