AI in Fashion Market to Reach US$ 6.04 Billion by 2031, Growing at 24.2% CAGR, Driven by Personalized Shopping, Intelligent Design, and Sustainable Digital Transformation

Market Overview

The global AI in Fashion market was valued at US$ 1,325 million in 2024 and is projected to expand rapidly to US$ 6,042 million by 2031, registering a strong CAGR of 24.2% during the forecast period 2025-2031.

According to the latest study published by QY Research, titled "AI in Fashion Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031", artificial intelligence is emerging as a core technology reshaping the global fashion industry-spanning design, production, supply chain management, marketing, and retail experiences.

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Industry Background: AI Transforming Fashion Value Chains
Artificial intelligence is increasingly embedded across the fashion value chain, from creative design and trend forecasting to marketing optimization and sales conversion. AI algorithms analyze massive datasets derived from social media platforms, fashion blogs, online search behavior, and consumer purchase histories to identify emerging trends, predict color palettes, and anticipate seasonal demand patterns.

This data-driven capability enables fashion brands and retailers to respond faster to market changes, reduce overproduction, and align product offerings more closely with consumer preferences-an essential advantage in today's fast-paced and highly competitive fashion landscape.

Key Market Drivers -

The rapid growth of AI adoption in the fashion industry is driven by several structural and strategic factors:

Rising consumer demand for personalized experiences, including tailored product recommendations and customized styling

Sustainability pressures from fast fashion, pushing brands to optimize inventory, reduce waste, and improve demand forecasting

Accelerated digital transformation, with brands adopting AI to enhance operational efficiency and decision-making

Growing use of AI-powered tools, such as intelligent design software, virtual try-on solutions, and predictive analytics

Need for differentiation in a highly competitive market, where AI-driven insights improve engagement and conversion rates

AI-powered capabilities such as virtual fitting rooms, personalized recommendation engines, and intelligent merchandising systems are becoming critical tools for driving online and omnichannel retail growth.

Technology Trends and Future Outlook-

As generative AI, computer vision, and large-scale modeling technologies continue to mature, AI is expected to play an even deeper role in the fashion ecosystem. Future developments include:

AI-assisted creative design, accelerating concept development and reducing time-to-market

Advanced demand forecasting and supply chain collaboration, improving responsiveness and cost efficiency

Immersive digital and metaverse retail experiences, blending AI with virtual environments

Sustainable fashion innovation, enabling smarter material selection and lifecycle management

Together, these trends are driving the fashion industry toward a more intelligent, personalized, and sustainable future.

Report Scope and Research Coverage -

This report provides a comprehensive and data-driven analysis of the global AI in Fashion market, focusing on:

Total sales revenue (US$ millions)

Company market share and competitive ranking

Regional and country-level market performance

Segmentation by type and application

Market size estimations and forecasts are based on 2024 as the base year, include historical data from 2020-2024, and project growth through 2031. The study combines quantitative modeling with qualitative insights to support strategic planning and investment decisions.

Regional Market Insights -

North America leads AI adoption in fashion, driven by strong technology ecosystems, e-commerce penetration, and leading AI solution providers.

Europe follows closely, with growing emphasis on sustainability, digital fashion, and data-driven design.

Asia Pacific is the fastest-growing region, supported by rapid digitalization, expanding fashion markets in China and India, and strong adoption of AI-powered retail technologies.

South America and the Middle East & Africa represent emerging opportunities as digital retail infrastructure and AI awareness continue to develop.

Competitive Landscape -

The AI in fashion market is moderately competitive, with global technology leaders and specialized AI fashion startups driving innovation through platforms, analytics, and creative tools.

Key companies profiled in the report include:

► Microsoft
► Google
► IBM
► Amazon
► Adobe
► SAP
► Oracle
► Syte
► Vue.ai
► Stylumia
► Heuritech
► Designovel
► Lily AI

These companies are actively investing in AI platforms, fashion-specific algorithms, and partnerships with brands and retailers to expand their market presence.

Market Segmentation Highlights

By Type:

Apparel
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others

By Application:

Fashion Design and Creation
Virtual Try-On and Fitting
Fashion Trend Forecasting
Others

Each segment is analyzed based on revenue contribution, adoption trends, and future growth potential.

Reasons to Procure this Report: -

►The research would help top administration/policymakers/professionals/product advancements/sales managers and stakeholders in this market in the following ways.

►The report provides AI in Fashion market revenues at the worldwide, regional, and country-level with a complete analysis to 2028 permitting companies to analyze their market share and analyze projections, and find new markets to aim.

►The research includes the AI in Fashion market split by different types, applications, technologies, and end-uses. This segmentation helps leaders plan their products and finances based on the upcoming development rates of each segment.

►AI in Fashion market analysis benefits investors by knowing the scope and position of the market giving them information on key drivers, challenges, restraints, and expansion chances of the market and moderate threats.

►This report would help to understand competition better with a detailed analysis and key strategies of their competitors and plan their position in the business.

►The study helps evaluate AI in Fashion business predictions by region, key countries, and top companies' information to channel their investments.

Key questions answered in the report include:

►This AI in Fashion report gives all the information about the industry analysis, revenue, and overview, of this market.

►What will be the rate of increase in AI in Fashion market size and growth rate by the end of the forecast period?

►What are the major global AI in Fashion market trends influencing the development of the market?

►What are the vital results of SWOT analysis of the major players operating in the AI in Fashion market?

►What are the potential growth opportunities and threats faced by Major competitors in the AI in Fashion market?

►What are the market opportunities and threats faced by vendors in the Global AI in Fashion market?

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Table of Contents - Major Key Points:

1 Market Overview
1.1 AI in Fashion Product Introduction
1.2 Global AI in Fashion Market Size Forecast (2020-2031)
1.3 AI in Fashion Market Trends & Drivers
1.3.1 AI in Fashion Industry Trends
1.3.2 AI in Fashion Market Drivers & Opportunity
1.3.3 AI in Fashion Market Challenges
1.3.4 AI in Fashion Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI in Fashion Players Revenue Ranking (2024)
2.2 Global AI in Fashion Revenue by Company (2020-2025)
2.3 Key Companies AI in Fashion Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI in Fashion Product Offered
2.5 Key Companies Time to Begin Mass Production of AI in Fashion
2.6 AI in Fashion Market Competitive Analysis
2.6.1 AI in Fashion Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by AI in Fashion Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI in Fashion as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Apparel
3.1.2 Footwear
3.1.3 Beauty and Cosmetics
3.1.4 Jewelry and Watches
3.1.5 Others
3.2 Global AI in Fashion Sales Value by Type
3.2.1 Global AI in Fashion Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global AI in Fashion Sales Value, by Type (2020-2031)
3.2.3 Global AI in Fashion Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Fashion Design and Creation
4.1.2 Virtual Try-On and Fitting
4.1.3 Fashion Trend Forecasting
4.1.4 Others
4.2 Global AI in Fashion Sales Value by Application
4.2.1 Global AI in Fashion Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global AI in Fashion Sales Value, by Application (2020-2031)
4.2.3 Global AI in Fashion Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global AI in Fashion Sales Value by Region
5.1.1 Global AI in Fashion Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global AI in Fashion Sales Value by Region (2020-2025)
5.1.3 Global AI in Fashion Sales Value by Region (2026-2031)
5.1.4 Global AI in Fashion Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America AI in Fashion Sales Value, 2020-2031
5.2.2 North America AI in Fashion Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe AI in Fashion Sales Value, 2020-2031
5.3.2 Europe AI in Fashion Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific AI in Fashion Sales Value, 2020-2031
5.4.2 Asia Pacific AI in Fashion Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America AI in Fashion Sales Value, 2020-2031
5.5.2 South America AI in Fashion Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI in Fashion Sales Value, 2020-2031
5.6.2 Middle East & Africa AI in Fashion Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI in Fashion Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions AI in Fashion Sales Value, 2020-2031
6.3 United States
6.3.1 United States AI in Fashion Sales Value, 2020-2031
6.3.2 United States AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.3.3 United States AI in Fashion Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe AI in Fashion Sales Value, 2020-2031
6.4.2 Europe AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe AI in Fashion Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China AI in Fashion Sales Value, 2020-2031
6.5.2 China AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.5.3 China AI in Fashion Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan AI in Fashion Sales Value, 2020-2031
6.6.2 Japan AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan AI in Fashion Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea AI in Fashion Sales Value, 2020-2031
6.7.2 South Korea AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea AI in Fashion Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia AI in Fashion Sales Value, 2020-2031
6.8.2 Southeast Asia AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia AI in Fashion Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India AI in Fashion Sales Value, 2020-2031
6.9.2 India AI in Fashion Sales Value by Type (%), 2024 VS 2031
6.9.3 India AI in Fashion Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft AI in Fashion Products, Services and Solutions
7.1.4 Microsoft AI in Fashion Revenue (US$ Million) & (2020-2025)
7.1.5 Microsoft Recent Developments
7.2 Google
7.2.1 Google Profile
7.2.2 Google Main Business
7.2.3 Google AI in Fashion Products, Services and Solutions
7.2.4 Google AI in Fashion Revenue (US$ Million) & (2020-2025)
7.2.5 Google Recent Developments
7.3 IBM
7.3.1 IBM Profile
7.3.2 IBM Main Business
7.3.3 IBM AI in Fashion Products, Services and Solutions
7.3.4 IBM AI in Fashion Revenue (US$ Million) & (2020-2025)
7.3.5 IBM Recent Developments
7.4 Amazon
7.4.1 Amazon Profile
7.4.2 Amazon Main Business
7.4.3 Amazon AI in Fashion Products, Services and Solutions
7.4.4 Amazon AI in Fashion Revenue (US$ Million) & (2020-2025)
7.4.5 Amazon Recent Developments
7.5 Oracle
7.5.1 Oracle Profile
7.5.2 Oracle Main Business
7.5.3 Oracle AI in Fashion Products, Services and Solutions
7.5.4 Oracle AI in Fashion Revenue (US$ Million) & (2020-2025)
7.5.5 Oracle Recent Developments
7.6 Adobe
7.6.1 Adobe Profile
7.6.2 Adobe Main Business
7.6.3 Adobe AI in Fashion Products, Services and Solutions
7.6.4 Adobe AI in Fashion Revenue (US$ Million) & (2020-2025)
7.6.5 Adobe Recent Developments
7.7 SAP
7.7.1 SAP Profile
7.7.2 SAP Main Business
7.7.3 SAP AI in Fashion Products, Services and Solutions
7.7.4 SAP AI in Fashion Revenue (US$ Million) & (2020-2025)
7.7.5 SAP Recent Developments
7.8 Hangzhou Zhiyi Technology
7.8.1 Hangzhou Zhiyi Technology Profile
7.8.2 Hangzhou Zhiyi Technology Main Business
7.8.3 Hangzhou Zhiyi Technology AI in Fashion Products, Services and Solutions
7.8.4 Hangzhou Zhiyi Technology AI in Fashion Revenue (US$ Million) & (2020-2025)
7.8.5 Hangzhou Zhiyi Technology Recent Developments
7.9 Syte
7.9.1 Syte Profile
7.9.2 Syte Main Business
7.9.3 Syte AI in Fashion Products, Services and Solutions
7.9.4 Syte AI in Fashion Revenue (US$ Million) & (2020-2025)
7.9.5 Syte Recent Developments
7.10 Vue.ai
7.10.1 Vue.ai Profile
7.10.2 Vue.ai Main Business
7.10.3 Vue.ai AI in Fashion Products, Services and Solutions
7.10.4 Vue.ai AI in Fashion Revenue (US$ Million) & (2020-2025)
7.10.5 Vue.ai Recent Developments
7.11 Stylumia
7.11.1 Stylumia Profile
7.11.2 Stylumia Main Business
7.11.3 Stylumia AI in Fashion Products, Services and Solutions
7.11.4 Stylumia AI in Fashion Revenue (US$ Million) & (2020-2025)
7.11.5 Stylumia Recent Developments
7.12 Infimind
7.12.1 Infimind Profile
7.12.2 Infimind Main Business
7.12.3 Infimind AI in Fashion Products, Services and Solutions
7.12.4 Infimind AI in Fashion Revenue (US$ Million) & (2020-2025)
7.12.5 Infimind Recent Developments
7.13 Heuritech
7.13.1 Heuritech Profile
7.13.2 Heuritech Main Business
7.13.3 Heuritech AI in Fashion Products, Services and Solutions
7.13.4 Heuritech AI in Fashion Revenue (US$ Million) & (2020-2025)
7.13.5 Heuritech Recent Developments
7.14 Designovel
7.14.1 Designovel Profile
7.14.2 Designovel Main Business
7.14.3 Designovel AI in Fashion Products, Services and Solutions
7.14.4 Designovel AI in Fashion Revenue (US$ Million) & (2020-2025)
7.14.5 Designovel Recent Developments
7.15 Lily AI
7.15.1 Lily AI Profile
7.15.2 Lily AI Main Business
7.15.3 Lily AI AI in Fashion Products, Services and Solutions
7.15.4 Lily AI AI in Fashion Revenue (US$ Million) & (2020-2025)
7.15.5 Lily AI Recent Developments
7.16 Wide Eyes
7.16.1 Wide Eyes Profile
7.16.2 Wide Eyes Main Business
7.16.3 Wide Eyes AI in Fashion Products, Services and Solutions
7.16.4 Wide Eyes AI in Fashion Revenue (US$ Million) & (2020-2025)
7.16.5 Wide Eyes Recent Developments
8 Industry Chain Analysis
8.1 AI in Fashion Industrial Chain
8.2 AI in Fashion Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI in Fashion Sales Model
8.5.2 Sales Channel
8.5.3 AI in Fashion Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

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