AI in Fashion Market by Component (Solutions and Services), Application (Product Recommendation, Product Search & Discovery, and CRM), Deployment Mode, Category, (Apparel, Accessories, and Beauty & Cosmetics), End User, and Region - Global Forecast to 2024

Abstract
Apex Market Research has published a new report titled ”Global AI in Fashion Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global AI in Fashion market is estimated to grow from USD 228 billion in 2019 to USD 1260 billion by 2024, at a CAGR of 40.8%. The report offers in-depth insights, revenue details, and other vital information regarding the global AI in Fashion market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the AI in Fashion market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global AI in Fashion market report offers in-depth insights, revenue details, and other vital information regarding the global AI in Fashion market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of AI in Fashion market. The major players operating into AI in Fashion Market include:  Microsoft (US)
IBM (US)
Google (US)
AWS (US)
SAP (Germany)
Facebook (US)
Adobe (US)
Oracle (US)
Catchoom (Spain)
Huawei (China)
Vue.ai (US)
Heuritech (France)
Wide Eyes (Spain)
FINDMINE (US)
Intelistyle (England)
Lily AI (US)
Pttrns.ai (Netherlands)
Syte (Israel)
mode.ai (US)
  and Stitch Fix (US) Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Million (USD)
Covered Segments Component, Application, Deployment Mode, Category, End User, and Region
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the AI in Fashion market to forecast revenues and analyze trends in each of the following submarkets:

Based on Components, the AI in Fashion Market has the following segments:

  • Solution
    • Software Tools
    • Platforms
  • Services
    • Training and Consulting
    • System Integration and Testing
    • Support and Maintenance

Based on Applications, the AI in Fashion Market has the following segments:

  • Product Recommendation
  • Product Search and Discovery
  • Supply Chain Management and Demand Forecasting
  • Creative Designing and Trend Forecasting
  • Customer Relationship Management
  • Virtual Assistants
  • Others (Fraud detection, fabric waste reduction, and price optimization)

Based on Deployment Mode, the AI in Fashion Market has the following segments

  • Cloud
  • On-premises

Based on the Category, the AI in Fashion Market has the following segments

  • Apparel
  • Accessories
  • Footwear
  • Beauty and Cosmetics
  • Jewelry and Watches
  • Others (eyewear, home decor)

Based on End-User, the AI in Fashion Market has the following segments:

  • Fashion Designers
  • Fashion Stores
By geography, this market has been segregated into five regions with revenue and growth rate of AI in Fashion from 2020 to 2027,
There are 13 chapters to put on view for AI in Fashion Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: AI in Fashion Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 AI in Fashion Market Overview 1.1.1 AI in Fashion Product Scope 1.1.2 Market Status and Outlook 1.2 Global AI in Fashion Market Size and Analysis by Regions (2015-2019) 1.2.1 North America AI in Fashion Market Status and Outlook 1.2.2 EU AI in Fashion Market Status and Outlook 1.2.3 Japan AI in Fashion Market Status and Outlook 1.2.4 China AI in Fashion Market Status and Outlook 1.2.5 India AI in Fashion Market Status and Outlook 1.2.6 Southeast Asia AI in Fashion Market Status and Outlook 1.3 Global AI in Fashion Market Segment Based on Components, the AI in Fashion Market has the following segments:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.2 Solution
1.3.2.1 Software Tools
1.3.2.2 Platforms
1.3.2.3 Market Estimates And Forecast By Country, 2015-2027
1.3.3 Services
1.3.3.1 Training and Consulting
1.3.3.2 System Integration and Testing
1.3.3.3 Support and Maintenance
1.3.3.4 Market Estimates And Forecast By Country, 2015-2027
1.4 Global AI in Fashion Market Segment Based on Applications, the AI in Fashion Market has the following segments:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.1 Product Recommendation
1.4.1.1 Market Estimates And Forecast By Country, 2015-2027
1.4.2 Product Search and Discovery
1.4.2.1 Market Estimates And Forecast By Country, 2015-2027
1.4.3 Supply Chain Management and Demand Forecasting
1.4.3.1 Market Estimates And Forecast By Country, 2015-2027
1.4.4 Creative Designing and Trend Forecasting
1.4.4.1 Market Estimates And Forecast By Country, 2015-2027
1.4.5 Customer Relationship Management
1.4.5.1 Market Estimates And Forecast By Country, 2015-2027
1.4.6 Virtual Assistants
1.4.6.1 Market Estimates And Forecast By Country, 2015-2027
1.4.7 Others (Fraud detection, fabric waste reduction, and price optimization)
1.4.7.1 Market Estimates And Forecast By Country, 2015-2027
1.5 Global AI in Fashion Market Segment Based on Deployment Mode, the AI in Fashion Market has the following segments
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 Cloud
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 On-premises
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6 Global AI in Fashion Market Segment Based on the Category, the AI in Fashion Market has the following segments
1.6.1 Introduction
1.6.1.1 Market Estimates And Forecast 2015-2027
1.6.1 Apparel
1.6.1.1 Market Estimates And Forecast By Country, 2015-2027
1.6.2 Accessories
1.6.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6.3 Footwear
1.6.3.1 Market Estimates And Forecast By Country, 2015-2027
1.6.4 Beauty and Cosmetics
1.6.4.1 Market Estimates And Forecast By Country, 2015-2027
1.6.5 Jewelry and Watches
1.6.5.1 Market Estimates And Forecast By Country, 2015-2027
1.6.6 Others (eyewear, home decor)
1.6.6.1 Market Estimates And Forecast By Country, 2015-2027
1.7 Global AI in Fashion Market Segment Based on End-User, the AI in Fashion Market has the following segments:
1.7.1 Introduction
1.7.1.1 Market Estimates And Forecast 2015-2027
1.7.1 Fashion Designers
1.7.1.1 Market Estimates And Forecast By Country, 2015-2027
1.7.2 Fashion Stores
1.7.2.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global AI in Fashion Competition Analysis by Players 2.1 Global AI in Fashion Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1  Microsoft (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4  Microsoft (US), AI in Fashion Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 IBM (US) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 IBM (US), AI in Fashion Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 Google (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 Google (US), AI in Fashion Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 AWS (US) 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 AWS (US), AI in Fashion Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 SAP (Germany) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 SAP (Germany), AI in Fashion Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 Facebook (US) 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 Facebook (US), AI in Fashion Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 Adobe (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 Adobe (US), AI in Fashion Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 Oracle (US) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 Oracle (US), AI in Fashion Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 Catchoom (Spain) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 Catchoom (Spain), AI in Fashion Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 Huawei (China) 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 Huawei (China), AI in Fashion Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global AI in Fashion Market Size Type (2015-2019) 4.1 Global AI in Fashion Market Size by Type (2015-2019) Chapter 5 Global AI in Fashion Market Size Application (2015-2019) 5.1 Global AI in Fashion Market Size by Application (2015-2019) 5.2 Potential Application of AI in Fashion in Future 5.3 Top Consumer / End Users of AI in Fashion Chapter 6 North America AI in Fashion Development Status and Outlook 6.1 North America AI in Fashion Market Size (2015-2019) 6.2 North America AI in Fashion Market Size by Application (2015-2019) Chapter 7 EU AI in Fashion Development Status and Outlook 7.1 EU AI in Fashion Market Size (2015-2019) 7.2 EU AI in Fashion Market Size by Application (2015-2019) Chapter 8 Japan AI in Fashion Development Status and Outlook 8.1 Japan AI in Fashion Market Size (2015-2019) 8.2 Japan AI in Fashion Market Size by Application (2015-2019) Chapter 9 China AI in Fashion Development Status and Outlook 9.1 China AI in Fashion Market Size and Forecast (2015-2019) 9.2 China AI in Fashion Market Size by Application (2015-2019) Chapter 10 India AI in Fashion Development Status and Outlook 10.1 India AI in Fashion Market Size and Forecast (2015-2019) 10.2 India AI in Fashion Market Size by Application (2015-2019) Chapter 11 Southeast Asia AI in Fashion Development Status and Outlook 11.1 Southeast Asia AI in Fashion Market Size and Forecast (2015-2019) 11.2 Southeast Asia AI in Fashion Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global AI in Fashion Market Size (Million USD) by Regions (2020-2027) 12.1. North America AI in Fashion Revenue and Growth Rate (2020-2027) 12.1.2 EU AI in Fashion Revenue and Growth Rate (2020-2027) 12.1.3 China AI in Fashion Revenue and Growth Rate (2020-2027) 12.1.4 Japan AI in Fashion Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia AI in Fashion Revenue and Growth Rate (2020-2027) 12.1.6 India AI in Fashion Revenue and Growth Rate (2020-2027) 12.2 Global AI in Fashion Market Size by Application (2020-2027) Chapter 13 AI in Fashion Market Dynamics 13.1 AI in Fashion Market Opportunities 13.2 AI in Fashion Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 AI in Fashion Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 AI in Fashion Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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