Global AI in Fashion Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global AI in Fashion market size will reach 1,678.24 Million USD in 2025 and is projected to reach 5,419.36 Million USD by 2032, with a CAGR of 18.23% (2025-2032). Notably, the China AI in Fashion market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
AI in fashion refers to the application of artificial intelligence technologies in various aspects of the fashion industry, including design, manufacturing, marketing, and retail. AI algorithms and machine learning techniques are being used to analyze vast amounts of data, including consumer preferences, social media trends, and sales data, to inform design decisions, predict fashion trends, and optimize inventory management. In the design process, AI tools can assist designers in generating new concepts, creating virtual prototypes, and even autonomously designing garments. In manufacturing, AI-powered systems are improving efficiency and quality control by optimizing production processes and detecting defects. Additionally, AI is revolutionizing the retail experience through personalized recommendations, virtual try-on solutions, and chatbots for customer service. Overall, AI is transforming the fashion industry, making it more data-driven, efficient, and responsive to consumer needs.
The major global suppliers of AI in Fashion include Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US), Vue.ai (US), Lily AI (US), Syte (Israel), mode.ai (US), Stitch Fix (US), Heuritech (France), Wide Eyes (Spain), FINDMINE (US), Catchoom (Spain), Huawei (China), Intelistyle (England), Pttrns.ai (Netherlands), etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of AI in Fashion. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global AI in Fashion market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the AI in Fashion market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI in Fashion industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of AI in Fashion Include:
Microsoft (US)
IBM (US)
Google (US)
AWS (US)
SAP (Germany)
Facebook (US)
Adobe (US)
Oracle (US)
Vue.ai (US)
Lily AI (US)
Syte (Israel)
mode.ai (US)
Stitch Fix (US)
Heuritech (France)
Wide Eyes (Spain)
FINDMINE (US)
Catchoom (Spain)
Huawei (China)
Intelistyle (England)
Pttrns.ai (Netherlands)
AI in Fashion Product Segment Include:
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others
AI in Fashion Product Application Include:
Fashion Designers
Fashion Stores (Online and Offline Brand Stores)
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI in Fashion Industry PESTEL Analysis
Chapter 3: Global AI in Fashion Industry Porter's Five Forces Analysis
Chapter 4: Global AI in Fashion Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global AI in Fashion Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global AI in Fashion Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI in Fashion Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global AI in Fashion market size will reach 1,678.24 Million USD in 2025 and is projected to reach 5,419.36 Million USD by 2032, with a CAGR of 18.23% (2025-2032). Notably, the China AI in Fashion market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
AI in fashion refers to the application of artificial intelligence technologies in various aspects of the fashion industry, including design, manufacturing, marketing, and retail. AI algorithms and machine learning techniques are being used to analyze vast amounts of data, including consumer preferences, social media trends, and sales data, to inform design decisions, predict fashion trends, and optimize inventory management. In the design process, AI tools can assist designers in generating new concepts, creating virtual prototypes, and even autonomously designing garments. In manufacturing, AI-powered systems are improving efficiency and quality control by optimizing production processes and detecting defects. Additionally, AI is revolutionizing the retail experience through personalized recommendations, virtual try-on solutions, and chatbots for customer service. Overall, AI is transforming the fashion industry, making it more data-driven, efficient, and responsive to consumer needs.
The major global suppliers of AI in Fashion include Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US), Vue.ai (US), Lily AI (US), Syte (Israel), mode.ai (US), Stitch Fix (US), Heuritech (France), Wide Eyes (Spain), FINDMINE (US), Catchoom (Spain), Huawei (China), Intelistyle (England), Pttrns.ai (Netherlands), etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of AI in Fashion. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global AI in Fashion market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the AI in Fashion market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI in Fashion industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of AI in Fashion Include:
Microsoft (US)
IBM (US)
Google (US)
AWS (US)
SAP (Germany)
Facebook (US)
Adobe (US)
Oracle (US)
Vue.ai (US)
Lily AI (US)
Syte (Israel)
mode.ai (US)
Stitch Fix (US)
Heuritech (France)
Wide Eyes (Spain)
FINDMINE (US)
Catchoom (Spain)
Huawei (China)
Intelistyle (England)
Pttrns.ai (Netherlands)
AI in Fashion Product Segment Include:
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others
AI in Fashion Product Application Include:
Fashion Designers
Fashion Stores (Online and Offline Brand Stores)
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global AI in Fashion Industry PESTEL Analysis
Chapter 3: Global AI in Fashion Industry Porter's Five Forces Analysis
Chapter 4: Global AI in Fashion Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global AI in Fashion Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global AI in Fashion Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, AI in Fashion Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 AI in Fashion Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 AI in Fashion Product by Type
- 1.2.1 Apparel
- 1.2.2 Accessories
- 1.2.3 Footwear
- 1.2.4 Beauty and Cosmetics
- 1.2.5 Jewelry and Watches
- 1.2.6 Others
- 1.3 AI in Fashion Product by Application
- 1.3.1 Fashion Designers
- 1.3.2 Fashion Stores (Online and Offline Brand Stores)
- 1.4 Global AI in Fashion Market Size Analysis (2020-2032)
- 1.5 AI in Fashion Market Development Status and Trends
- 1.5.1 AI in Fashion Industry Development Status Analysis
- 1.5.2 AI in Fashion Industry Development Trends Analysis
- 2 AI in Fashion Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 AI in Fashion Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global AI in Fashion Market Analysis by Country
- 4.1 Global AI in Fashion Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global AI in Fashion Revenue Analysis by Country (2020-2025)
- 4.1.2 Global AI in Fashion Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.5 China AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.6 France AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.14 India AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa AI in Fashion Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global AI in Fashion Market Revenue by Key Suppliers (2021-2025)
- 5.2 AI in Fashion Competitive Landscape Analysis and Market Dynamic
- 5.2.1 AI in Fashion Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 AI in Fashion Market Analysis by Type
- 6.1 Global AI in Fashion Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global AI in Fashion Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 Microsoft (US)
- 7.1.1 Microsoft (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 Microsoft (US) AI in Fashion Product Portfolio
- 7.1.3 Microsoft (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 IBM (US)
- 7.2.1 IBM (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 IBM (US) AI in Fashion Product Portfolio
- 7.2.3 IBM (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Google (US)
- 7.3.1 Google (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Google (US) AI in Fashion Product Portfolio
- 7.3.3 Google (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 AWS (US)
- 7.4.1 AWS (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 AWS (US) AI in Fashion Product Portfolio
- 7.4.3 AWS (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 SAP (Germany)
- 7.5.1 SAP (Germany) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 SAP (Germany) AI in Fashion Product Portfolio
- 7.5.3 SAP (Germany) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 Facebook (US)
- 7.6.1 Facebook (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 Facebook (US) AI in Fashion Product Portfolio
- 7.6.3 Facebook (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Adobe (US)
- 7.7.1 Adobe (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Adobe (US) AI in Fashion Product Portfolio
- 7.7.3 Adobe (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Oracle (US)
- 7.8.1 Oracle (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Oracle (US) AI in Fashion Product Portfolio
- 7.8.3 Oracle (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Vue.ai (US)
- 7.9.1 Vue.ai (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Vue.ai (US) AI in Fashion Product Portfolio
- 7.9.3 Vue.ai (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Lily AI (US)
- 7.10.1 Lily AI (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Lily AI (US) AI in Fashion Product Portfolio
- 7.10.3 Lily AI (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Syte (Israel)
- 7.11.1 Syte (Israel) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Syte (Israel) AI in Fashion Product Portfolio
- 7.11.3 Syte (Israel) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 mode.ai (US)
- 7.12.1 mode.ai (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 mode.ai (US) AI in Fashion Product Portfolio
- 7.12.3 mode.ai (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Stitch Fix (US)
- 7.13.1 Stitch Fix (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Stitch Fix (US) AI in Fashion Product Portfolio
- 7.13.3 Stitch Fix (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Heuritech (France)
- 7.14.1 Heuritech (France) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Heuritech (France) AI in Fashion Product Portfolio
- 7.14.3 Heuritech (France) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 Wide Eyes (Spain)
- 7.15.1 Wide Eyes (Spain) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 Wide Eyes (Spain) AI in Fashion Product Portfolio
- 7.15.3 Wide Eyes (Spain) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 FINDMINE (US)
- 7.16.1 FINDMINE (US) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 FINDMINE (US) AI in Fashion Product Portfolio
- 7.16.3 FINDMINE (US) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.17 Catchoom (Spain)
- 7.17.1 Catchoom (Spain) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.17.2 Catchoom (Spain) AI in Fashion Product Portfolio
- 7.17.3 Catchoom (Spain) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.18 Huawei (China)
- 7.18.1 Huawei (China) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.18.2 Huawei (China) AI in Fashion Product Portfolio
- 7.18.3 Huawei (China) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.19 Intelistyle (England)
- 7.19.1 Intelistyle (England) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.19.2 Intelistyle (England) AI in Fashion Product Portfolio
- 7.19.3 Intelistyle (England) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.20 Pttrns.ai (Netherlands)
- 7.20.1 Pttrns.ai (Netherlands) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.20.2 Pttrns.ai (Netherlands) AI in Fashion Product Portfolio
- 7.20.3 Pttrns.ai (Netherlands) AI in Fashion Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 AI in Fashion Industry Chain Analysis
- 8.2 AI in Fashion Product Downstream Application Analysis
- 8.2.1 Global AI in Fashion Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global AI in Fashion Revenue and Forecast by Application (2020-2032)
- 8.3 AI in Fashion Typical Downstream Customers
- 8.4 AI in Fashion Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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