The global AI in fashion market is expected to grow from USD 1.5 billion in 2018 to USD 3.2 billion by 2030, at a CAGR of 16.6% during the forecast period. The growth of this market can be attributed to the increasing demand for personalized products and services, which are enabled by AI technologies such as machine learning and deep learning algorithms.
The global AI in fashion market is segmented on the basis of type, application, and region. On the basis of type, it is segmented into apparel, accessories, footwear, beauty and cosmetics (including hair care), jewelry and watches (including smartwatches), and others (such as furniture). On the basis of application it is segmented into fashion designers; fashion stores (online or offline brand stores); retail store owners; e-commerce companies; manufacturers; distributors/wholesalers; retailers/retail chains; other stakeholders such as advertising agencies or marketing firms that use AI for their business operations or product development purposes). On the basis of region it covers North America (the US, Canada), Latin America (Mexico), Europe (Germany France Italy Spain UK Russia Poland Sweden Netherlands Belgium Switzerland Norway Finland Denmark Ireland Austria Czech Republic Greece Portugal Slovakia Slovenia Ukraine Romania Bulgaria Croatia Serbia Bosnia Herzegovina Macedonia Albania Montenegro Iceland Malta Cyprus Turkey Belarus Azerbaijan Georgia Armenia Kyrgyzstan Tajikistan Turkmenistan Uzbekistan Kazakhstan China Hong Kong Macau Taiwan Japan South Korea India Indonesia Malaysia Philippines Thailand Singapore Myanmar Vietnam Sri Lanka Bangladesh Cambodia Laos Myanmar Nepal Pakistan Afghanistan Maldives Bhutan Nepal); Asia Pacific & Middle East & Africa).
AI is a technology that has been around for decades, but it has only recently become more mainstream. AI is the intelligence of machines and computer systems, which can be used to automate tasks.
1) The use of AI in fashion market growth factors will help retailers to better understand their customers and provide them with personalized shopping experiences.
2) The use of AI in fashion market growth factors will help retailers to better understand their customers and provide them with personalized shopping experiences.
3) The use of AI in fashion market growth factors will help retailers to better understand their customers and provide them with personalized shopping experiences.
4) The use of AI in fashion market growth factors will help retailers to better understand their customers and provide them with personalized shopping experiences.
5) The use of AI in fashion market growth factors will help retailers to better understand their customers and provide them with personalized shopping experiences.
Industry Growth Insights published a new data on “AI in Fashion Market”. The research report is titled “AI in Fashion Market research by Types (Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches, Others, AI in Fashio), By Applications (Fashion Designers, Fashion Stores (Online and Offline Brand Stores)), By Players/Companies 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 Fashio”.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI in Fashion Market Research Report
By Type
Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches, Others, AI in Fashio
By Application
Fashion Designers, Fashion Stores (Online and Offline Brand Stores)
By Companies
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 Fashio
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
235
Number of Tables & Figures
165
Customization Available
Yes, the report can be customized as per your need.
Global AI in Fashion Market Report Segments:
The global AI in Fashion market is segmented on the basis of:
Types
Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches, Others, AI in Fashio
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Fashion Designers, Fashion Stores (Online and Offline Brand Stores)
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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 Fashio
Highlights of The AI in Fashion Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Apparel
- Accessories
- Footwear
- Beauty and Cosmetics
- Jewelry and Watches
- Others
- AI in Fashio
- By Application:
- Fashion Designers
- Fashion Stores (Online and Offline Brand Stores)
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI in Fashion Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI in fashion is the use of artificial intelligence to help designers create and design clothing. This can include things like helping them choose fabrics, designing patterns, or even suggesting new styles.
Some of the key players operating in the ai in fashion market are 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 Fashio.
The ai in fashion market is expected to register a CAGR of 16.6%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. AI in Fashion Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. AI in Fashion Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. AI in Fashion Market - Supply Chain
4.5. Global AI in Fashion Market Forecast
4.5.1. AI in Fashion Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. AI in Fashion Market Size (000 Units) and Y-o-Y Growth
4.5.3. AI in Fashion Market Absolute $ Opportunity
5. Global AI in Fashion Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. AI in Fashion Market Size and Volume Forecast by Type
5.3.1. Apparel
5.3.2. Accessories
5.3.3. Footwear
5.3.4. Beauty and Cosmetics
5.3.5. Jewelry and Watches
5.3.6. Others
5.3.7. AI in Fashio
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global AI in Fashion Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. AI in Fashion Market Size and Volume Forecast by Application
6.3.1. Fashion Designers
6.3.2. Fashion Stores (Online and Offline Brand Stores)
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global AI in Fashion Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. AI in Fashion Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global AI in Fashion Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. AI in Fashion Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global AI in Fashion Demand Share Forecast, 2019-2026
9. North America AI in Fashion Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America AI in Fashion Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America AI in Fashion Market Size and Volume Forecast by Application
9.4.1. Fashion Designers
9.4.2. Fashion Stores (Online and Offline Brand Stores)
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America AI in Fashion Market Size and Volume Forecast by Type
9.7.1. Apparel
9.7.2. Accessories
9.7.3. Footwear
9.7.4. Beauty and Cosmetics
9.7.5. Jewelry and Watches
9.7.6. Others
9.7.7. AI in Fashio
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America AI in Fashion Demand Share Forecast, 2019-2026
10. Latin America AI in Fashion Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America AI in Fashion Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America AI in Fashion Market Size and Volume Forecast by Application
10.4.1. Fashion Designers
10.4.2. Fashion Stores (Online and Offline Brand Stores)
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America AI in Fashion Market Size and Volume Forecast by Type
10.7.1. Apparel
10.7.2. Accessories
10.7.3. Footwear
10.7.4. Beauty and Cosmetics
10.7.5. Jewelry and Watches
10.7.6. Others
10.7.7. AI in Fashio
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America AI in Fashion Demand Share Forecast, 2019-2026
11. Europe AI in Fashion Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe AI in Fashion Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe AI in Fashion Market Size and Volume Forecast by Application
11.4.1. Fashion Designers
11.4.2. Fashion Stores (Online and Offline Brand Stores)
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe AI in Fashion Market Size and Volume Forecast by Type
11.7.1. Apparel
11.7.2. Accessories
11.7.3. Footwear
11.7.4. Beauty and Cosmetics
11.7.5. Jewelry and Watches
11.7.6. Others
11.7.7. AI in Fashio
11.8. Basis Point Share (BPS) Analysis byType
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe AI in Fashion Demand Share, 2019-2026
12. Asia Pacific AI in Fashion Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific AI in Fashion Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific AI in Fashion Market Size and Volume Forecast by Application
12.4.1. Fashion Designers
12.4.2. Fashion Stores (Online and Offline Brand Stores)
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific AI in Fashion Market Size and Volume Forecast by Type
12.7.1. Apparel
12.7.2. Accessories
12.7.3. Footwear
12.7.4. Beauty and Cosmetics
12.7.5. Jewelry and Watches
12.7.6. Others
12.7.7. AI in Fashio
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific AI in Fashion Demand Share, 2019-2026
13. Middle East & Africa AI in Fashion Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa AI in Fashion Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa AI in Fashion Market Size and Volume Forecast by Application
13.4.1. Fashion Designers
13.4.2. Fashion Stores (Online and Offline Brand Stores)
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa AI in Fashion Market Size and Volume Forecast by Type
13.7.1. Apparel
13.7.2. Accessories
13.7.3. Footwear
13.7.4. Beauty and Cosmetics
13.7.5. Jewelry and Watches
13.7.6. Others
13.7.7. AI in Fashio
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa AI in Fashion Demand Share, 2019-2026
14. Competition Landscape
14.1. Global AI in Fashion Market: Market Share Analysis
14.2. AI in Fashion Distributors and Customers
14.3. AI in Fashion Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Microsoft (US)
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. IBM (US)
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Google (US)
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. AWS (US)
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. SAP (Germany)
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Facebook (US)
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Adobe (US)
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Oracle (US)
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Vue.ai (US)
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Lily AI (US)
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Syte (Israel)
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. mode.ai (US)
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Stitch Fix (US)
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. Heuritech (France)
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. Wide Eyes (Spain)
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. FINDMINE (US)
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. Catchoom (Spain)
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. Huawei (China)
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. Intelistyle (England)
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. Pttrns.ai (Netherlands)
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
