Selected research
Industry Research
AI in Fashion Industry Research Report 2026
Market perspective
The global AI in Fashion market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI in Fashion market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI in Fashion market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI in Fashion market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI in Fashion include Microsoft, Google, IBM, Amazon, Oracle, Adobe, SAP, Hangzhou Zhiyi Technology and Syte, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI in Fashion market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI in Fashion.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI in Fashion Market by Company
Microsoft
IBM
Amazon
Oracle
Adobe
SAP
Hangzhou Zhiyi Technology
Syte
Vue.ai
Stylumia
Infimind
Heuritech
Designovel
Lily AI
Wide Eyes
AI in Fashion Segment by Type
Apparel
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others
AI in Fashion Segment by Application
Fashion Design and Creation
Virtual Try-On and Fitting
Fashion Trend Forecasting
Others
AI in Fashion Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Fashion market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Fashion and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Fashion.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, 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 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: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI in Fashion companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Apparel
- Footwear
- Beauty and Cosmetics
- Jewelry and Watches
- Others
Applications
- Fashion Design and Creation
- Virtual Try-On and Fitting
- Fashion Trend Forecasting
- Others
Companies covered
- Microsoft
- IBM
- Amazon
- Oracle
- Adobe
- SAP
- Hangzhou Zhiyi Technology
- Syte
- Vue.ai
- Stylumia
- Infimind
- Heuritech
- Designovel
- Lily AI
- Wide Eyes
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI in Fashion by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Apparel
- 2.2.3 Footwear
- 2.2.4 Beauty and Cosmetics
- 2.2.5 Jewelry and Watches
- 2.2.6 Others
- 2.3 AI in Fashion by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Fashion Design and Creation
- 2.3.3 Virtual Try-On and Fitting
- 2.3.4 Fashion Trend Forecasting
- 2.3.5 Others
- 2.4 Assumptions and Limitations
3 AI in Fashion Breakdown Data by Type
- 3.1 Global AI in Fashion Historic Market Size by Type (2021-2026)
- 3.2 Global AI in Fashion Forecasted Market Size by Type (2027-2032)
4 AI in Fashion Breakdown Data by Application
- 4.1 Global AI in Fashion Historic Market Size by Application (2021-2026)
- 4.2 Global AI in Fashion Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI in Fashion Market Perspective (2021-2032)
- 5.2 Global AI in Fashion Growth Trends by Region
- 5.2.1 Global AI in Fashion Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI in Fashion Historic Market Size by Region (2021-2026)
- 5.2.3 AI in Fashion Forecasted Market Size by Region (2027-2032)
- 5.3 AI in Fashion Market Dynamics
- 5.3.1 AI in Fashion Industry Trends
- 5.3.2 AI in Fashion Market Drivers
- 5.3.3 AI in Fashion Market Challenges
- 5.3.4 AI in Fashion Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI in Fashion Players by Revenue
- 6.1.1 Global Top AI in Fashion Players by Revenue (2021-2026)
- 6.1.2 Global AI in Fashion Revenue Market Share by Players (2021-2026)
- 6.2 Global AI in Fashion Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI in Fashion Head Office and Area Served
- 6.4 Global AI in Fashion Players, Product Type & Application
- 6.5 Global AI in Fashion Manufacturers Established Date
- 6.6 Global AI in Fashion Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI in Fashion Market Size (2021-2032)
- 7.2 North America AI in Fashion Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI in Fashion Market Size by Country (2021-2026)
- 7.4 North America AI in Fashion Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI in Fashion Market Size (2021-2032)
- 8.2 Europe AI in Fashion Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI in Fashion Market Size by Country (2021-2026)
- 8.4 Europe AI in Fashion Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI in Fashion Market Size (2021-2032)
- 9.2 Asia-Pacific AI in Fashion Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI in Fashion Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI in Fashion Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI in Fashion Market Size (2021-2032)
- 10.2 South America AI in Fashion Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI in Fashion Market Size by Country (2021-2026)
- 10.4 South America AI in Fashion Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI in Fashion Market Size (2021-2032)
- 11.2 Middle East & Africa AI in Fashion Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI in Fashion Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI in Fashion Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Microsoft
- 12.1.1 Microsoft Company Information
- 12.1.2 Microsoft Business Overview
- 12.1.3 Microsoft Revenue in AI in Fashion Business (2021-2026)
- 12.1.4 Microsoft AI in Fashion Product Portfolio
- 12.1.5 Microsoft Recent Developments
- 12.2 Google
- 12.2.1 Google Company Information
- 12.2.2 Google Business Overview
- 12.2.3 Google Revenue in AI in Fashion Business (2021-2026)
- 12.2.4 Google AI in Fashion Product Portfolio
- 12.2.5 Google Recent Developments
- 12.3 IBM
- 12.3.1 IBM Company Information
- 12.3.2 IBM Business Overview
- 12.3.3 IBM Revenue in AI in Fashion Business (2021-2026)
- 12.3.4 IBM AI in Fashion Product Portfolio
- 12.3.5 IBM Recent Developments
- 12.4 Amazon
- 12.4.1 Amazon Company Information
- 12.4.2 Amazon Business Overview
- 12.4.3 Amazon Revenue in AI in Fashion Business (2021-2026)
- 12.4.4 Amazon AI in Fashion Product Portfolio
- 12.4.5 Amazon Recent Developments
- 12.5 Oracle
- 12.5.1 Oracle Company Information
- 12.5.2 Oracle Business Overview
- 12.5.3 Oracle Revenue in AI in Fashion Business (2021-2026)
- 12.5.4 Oracle AI in Fashion Product Portfolio
- 12.5.5 Oracle Recent Developments
- 12.6 Adobe
- 12.6.1 Adobe Company Information
- 12.6.2 Adobe Business Overview
- 12.6.3 Adobe Revenue in AI in Fashion Business (2021-2026)
- 12.6.4 Adobe AI in Fashion Product Portfolio
- 12.6.5 Adobe Recent Developments
- 12.7 SAP
- 12.7.1 SAP Company Information
- 12.7.2 SAP Business Overview
- 12.7.3 SAP Revenue in AI in Fashion Business (2021-2026)
- 12.7.4 SAP AI in Fashion Product Portfolio
- 12.7.5 SAP Recent Developments
- 12.8 Hangzhou Zhiyi Technology
- 12.8.1 Hangzhou Zhiyi Technology Company Information
- 12.8.2 Hangzhou Zhiyi Technology Business Overview
- 12.8.3 Hangzhou Zhiyi Technology Revenue in AI in Fashion Business (2021-2026)
- 12.8.4 Hangzhou Zhiyi Technology AI in Fashion Product Portfolio
- 12.8.5 Hangzhou Zhiyi Technology Recent Developments
- 12.9 Syte
- 12.9.1 Syte Company Information
- 12.9.2 Syte Business Overview
- 12.9.3 Syte Revenue in AI in Fashion Business (2021-2026)
- 12.9.4 Syte AI in Fashion Product Portfolio
- 12.9.5 Syte Recent Developments
- 12.10 Vue.ai
- 12.10.1 Vue.ai Company Information
- 12.10.2 Vue.ai Business Overview
- 12.10.3 Vue.ai Revenue in AI in Fashion Business (2021-2026)
- 12.10.4 Vue.ai AI in Fashion Product Portfolio
- 12.10.5 Vue.ai Recent Developments
- 12.11 Stylumia
- 12.11.1 Stylumia Company Information
- 12.11.2 Stylumia Business Overview
- 12.11.3 Stylumia Revenue in AI in Fashion Business (2021-2026)
- 12.11.4 Stylumia AI in Fashion Product Portfolio
- 12.11.5 Stylumia Recent Developments
- 12.12 Infimind
- 12.12.1 Infimind Company Information
- 12.12.2 Infimind Business Overview
- 12.12.3 Infimind Revenue in AI in Fashion Business (2021-2026)
- 12.12.4 Infimind AI in Fashion Product Portfolio
- 12.12.5 Infimind Recent Developments
- 12.13 Heuritech
- 12.13.1 Heuritech Company Information
- 12.13.2 Heuritech Business Overview
- 12.13.3 Heuritech Revenue in AI in Fashion Business (2021-2026)
- 12.13.4 Heuritech AI in Fashion Product Portfolio
- 12.13.5 Heuritech Recent Developments
- 12.14 Designovel
- 12.14.1 Designovel Company Information
- 12.14.2 Designovel Business Overview
- 12.14.3 Designovel Revenue in AI in Fashion Business (2021-2026)
- 12.14.4 Designovel AI in Fashion Product Portfolio
- 12.14.5 Designovel Recent Developments
- 12.15 Lily AI
- 12.15.1 Lily AI Company Information
- 12.15.2 Lily AI Business Overview
- 12.15.3 Lily AI Revenue in AI in Fashion Business (2021-2026)
- 12.15.4 Lily AI AI in Fashion Product Portfolio
- 12.15.5 Lily AI Recent Developments
- 12.16 Wide Eyes
- 12.16.1 Wide Eyes Company Information
- 12.16.2 Wide Eyes Business Overview
- 12.16.3 Wide Eyes Revenue in AI in Fashion Business (2021-2026)
- 12.16.4 Wide Eyes AI in Fashion Product Portfolio
- 12.16.5 Wide Eyes Recent Developments
13 Report Conclusion
14 Disclaimer
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