세계의 패션 분야 AI 시장 : 시장 점유율과 순위, 전체 판매 및 수요 예측(2025-2031년)

The global market for AI in Fashion was estimated to be worth US$ 1325 million in 2024 and is forecast to a readjusted size of US$ 6042 million by 2031 with a CAGR of 24.2% during the forecast period 2025-2031.

From design to marketing and sales, AI is affecting everything and offering businesses new opportunities to streamline their operations and reach new heights. AI algorithms can analyse large amounts of data from social media, fashion blogs, and consumer buying habits to identify emerging trends and predict what styles and colours will be popular in the coming seasons, allowing designers and retailers to stay ahead of the curve.

The application of AI in the fashion industry is primarily driven by rising consumer demand for personalized experiences, the sustainability pressures posed by fast fashion, and the accelerated digital transformation. Brands urgently need to leverage AI to improve operational efficiency, accurately predict trends, optimize inventory management, and offer differentiated services amidst fierce competition. AI-enabled intelligent design, demand forecasting, virtual try-ons, and personalized recommendations have become key tools for increasing user engagement and conversion rates. In the future, as generative AI, computer vision, and large-scale modeling technologies mature, AI will be more deeply integrated into creative design, supply chain collaboration, and metaverse retail scenarios, driving the fashion industry towards intelligent, personalized, and sustainable development.

This report aims to provide a comprehensive presentation of the global market for AI in Fashion, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI in Fashion by region & country, by Type, and by Application.

The AI in Fashion market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Fashion.

Market Segmentation

By Company

• Microsoft
• Google
• IBM
• Amazon
• Oracle
• Adobe
• SAP
• Hangzhou Zhiyi Technology
• Syte
• Vue.ai
• Stylumia
• Infimind
• Heuritech
• Designovel
• Lily AI
• Wide Eyes

Segment by Type

• Apparel
• Footwear
• Beauty and Cosmetics
• Jewelry and Watches
• Others

Segment by Application

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

By Region

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia-Pacific
• Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Netherlands
  • Nordic Countries
  • Rest of Europe
• Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of MEA

Chapter Outline

Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 2: Detailed analysis of AI in Fashion company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.

Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 5: Revenue of AI in Fashion in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.

Chapter 6: Revenue of AI in Fashion in country level. It provides sigmate data by Type, and by Application for each country/region.

Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.

Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.

Chapter 9: Conclusion.

Table of Contents

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