Global Artificial Intelligence In Fashion Retail Market Opportunities and Forecast 2023-2030

  • DLR488
  • May, 2024
  • Pages: 120
  • Global

AI in Fashion Market Overview

Artificial Intelligence has the potential to revolutionize the fashion industry. The industry is one of the world’s largest. Furthermore, AI has the potential to transform the fashion sector in terms of manufacturing, design, sales, and consumer use. Today's AI technology promises to help manufacturers create higher-quality items while also reducing errors in forecasting the next big fashion trends. In the near future, increased investment in the industry is likely to propel the AI in fashion market to significant growth.
 
Because of the numerous AI applications in the fashion sector, the global AI in fashion market is predicted to grow rapidly in the near future. Customization, enhanced material procurements, reduced returns, and automation in operations, inventory management, and product discovery are all likely to benefit from AI. These are crucial issues for change in the fashion sector, which has traditionally relied on family-based business models that promote a particular mode of growth. Growth is predicted to be propelled by increased global competition, global convergence, and a desire for more individualized preferences in the fashion industry.

 

 

Report Metric Details
Market size available for years 2023–2030
Base year considered 2023
Forecast period 2024–2030
Forecast unit Value (USD Million)
Segments covered Components, Applications, Deployment Mode, Category, End-User, and Region.
Regions covered North America (the U.S. and Canada), Europe (UK, Germany, France, Italy, Spain, Russia, Rest of Europe), Asia-Pacific (China, India, Japan, Australia, South East Asia, Rest of Asia Pacific), Latin America and the Middle East and Africa (Brazil, Saudi Arabia, UAE, Rest of LAMEA)
Companies covered Microsoft, IBM, Google, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Vue.ai, Heuritech, Wide Eyes, FINDMINE, Intelistyle, Lily AI, Pttrns.ai, Syte, mode.ai, Stitch Fix.

 


Covid-19 Impact on AI in Fashion Market

Like many other industries, COVID-19 badly knocked the electronic and semiconductor industries. This unprecedented event has impacted nearly 230 countries in just a few weeks, resulting in the forced shutdown of manufacturing and transportation activities within and across the countries. This has directly affected the overall sector's growth. It is estimated that COVID-19 to leave more than USD 30 billion impacts on the electronics and semiconductor industry. The sector is majorly affected due to transport restrictions on major electronics and semiconductor raw material providers. However, the emerging need for semiconductors in several industries will offer rapid market recovery over the future period.

AI in Fashion Market Segment Overview

AI in Fashion Market Segment

According to Components, the Solution segment will have a bigger market share during the projected period. This is due to a higher rate of adoption. Fashion businesses are increasingly turning to modern technologies to help them improve their operations and attract new customers. Furthermore, understanding current trends through numerous social media platforms and catering to the needs of customers has become difficult for businesses. As a result, fashion retailers and brands are increasingly implementing AI-based solutions, such as platform and software tools including SDKs, APIs, and machine learning models.

AI in Fashion Market, By Components

 

 

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

AI in Fashion Market, By Applications
·       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)

AI in Fashion Market, By Deployment Mode
·       Cloud
·       On-premises

AI in Fashion Market, By Category
·       Apparel
·       Accessories
·       Footwear
·       Beauty and Cosmetics
·       Jewelry and Watches
·       Others (eyewear, home decor)

AI in Fashion Market, By End-User
·       Fashion Designers
·       Fashion Stores

AI in Fashion Regional Overview

Region-Wise, in North America, the global AI in fashion market is expected to rise rapidly. Big fashion brands are projected to boost their investments in startups, as well as their use of AI in major retail chains and their investment in innovation. Furthermore, the AI in fashion market is predicted to increase speedily in the Asia Pacific region. Because of the significant expansion of the IT sector, changing lifestyle habits, and increased disposable income, the region is seeing a massive influx of startups.

AI in Fashion Market, By Geography

·       North America (US & Canada)
·       Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
·       Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
·       LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)

AI in Fashion Market, Key Players

·       Microsoft
·       IBM
·       Google 
·       AWS 
·       SAP 
·       Facebook
·       Adobe
·       Oracle 
·       Catchoom 
·       Huawei 
·       Vue.ai 
·       Heuritech 
·       Wide Eyes 
·       FINDMINE 
·       Intelistyle 
·       Lily AI 
·       Pttrns.ai 
·       Syte 
·       mode.ai 
·       Stitch Fix



Frequently Asked Questions (FAQ) :

Q1. What are the driving factors for the AI in Fashion market?

Because of the numerous AI applications in the fashion sector, the global AI in fashion market is predicted to grow rapidly in the near future

Q2. Which Segments are covered in the AI in Fashion Market report?

Components, Applications, Deployment Mode, Category, End-User, and Region. these segments are covered in the AI in Fashion market report

Q3. Which segment is projected to hold the largest share in the AI in Fashion Market?

The solution segment is projected to hold the largest share in the AI in Fashion Market.

Q4. Which region holds the largest share in the AI in Fashion market?

North America held the largest share in the global AI in Fashion market

Q5. Which are the prominent players in the AI in Fashion Market?

Microsoft, IBM, Google, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Vue.ai, Heuritech, Wide Eyes, FINDMINE, Intelistyle, Lily AI, Pttrns.ai, Syte, mode.ai, Stitch Fix. are some key players in the AI in Fashion Market.

AI in Fashion Market Study Global Market Analysis, Insights and Forecast, 2020-2027

    1. Introduction

    • 1.1. Research Scope
    • 1.2. Market Segmentation
    • 1.3. Research Methodology
    • 1.4. Definitions and Assumptions

    2. Executive Summary

      3. Market Dynamics

      • 3.1. Market Drivers
      • 3.2. Market Restraints
      • 3.3. Market Opportunities

      4. Key Insights

      • 4.1. Key Emerging Trends – For Major Countries
      • 4.2. Latest Technological Advancement
      • 4.3. Regulatory Landscape
      • 4.4. Industry SWOT Analysis
      • 4.5. Porters Five Forces Analysis

      5. Global AI in Fashion Market Analysis (USD Billion), Insights and Forecast, 2020-2027

      • 5.1. Key Findings / Summary
      • 5.2. Market Analysis, Insights and Forecast – By Components
        • 5.2.1. Solution
          • 5.2.1.1. Software Tools
          • 5.2.1.2. Platforms
        • 5.2.2. Services
          • 5.2.2.1. Training and Consulting
          • 5.2.2.2. System Integration and Testing
          • 5.2.2.3. Support and Maintenance
    • 5.3. Market Analysis, Insights and Forecast – By Applications
      • 5.3.1. Product Recommendation
      • 5.3.2. Product Search and Discovery
      • 5.3.3. Supply Chain Management and Demand Forecasting
      • 5.3.4. Creative Designing and Trend Forecasting
      • 5.3.5. Customer Relationship Management
      • 5.3.6. Virtual Assistants
      • 5.3.7. Others (Fraud detection, fabric waste reduction, and price optimization)
    • 5.4. Market Analysis, Insights and Forecast – By Deployment Mode
      • 5.4.1. Cloud
      • 5.4.2. On-premises
    • 5.5. Market Analysis, Insights and Forecast – By Category
      • 5.5.1. Apparel
      • 5.5.2. Accessories
      • 5.5.3. Footwear
      • 5.5.4. Beauty and Cosmetics
      • 5.5.5. Jewelry and Watches
      • 5.5.6. Others (eyewear, home decor)
    • 5.6. Market Analysis, Insights and Forecast – By End-User
      • 5.6.1. Fashion Designers
      • 5.6.2. Fashion Stores
    • 5.7. Market Analysis, Insights and Forecast – By Region
      • 5.7.1. North America
      • 5.7.2. Europe
      • 5.7.3. Asia Pacific
      • 5.7.4. Latin America, Middle East and Africa

      • 6. North America AI in Fashion Market Analysis (USD Billion), Insights and Forecast, 2020-2027

      • 6.1. Key Findings / Summary
      • 6.2. Market Analysis, Insights and Forecast – By Components
        • 6.2.1. Solution
          • 6.2.1.1. Software Tools
          • 6.2.1.2. Platforms
        • 6.2.2. Services
          • 6.2.2.1. Training and Consulting
          • 6.2.2.2. System Integration and Testing
          • 6.2.2.3. Support and Maintenance
    • 6.3. Market Analysis, Insights and Forecast – By Applications
      • 6.3.1. Product Recommendation
      • 6.3.2. Product Search and Discovery
      • 6.3.3. Supply Chain Management and Demand Forecasting
      • 6.3.4. Creative Designing and Trend Forecasting
      • 6.3.5. Customer Relationship Management
      • 6.3.6. Virtual Assistants
      • 6.3.7. Others (Fraud detection, fabric waste reduction, and price optimization)
    • 6.4. Market Analysis, Insights and Forecast – By Deployment Mode
      • 6.4.1. Cloud
      • 6.4.2. On-premises
    • 6.5. Market Analysis, Insights and Forecast – By Category
      • 6.5.1. Apparel
      • 6.5.2. Accessories
      • 6.5.3. Footwear
      • 6.5.4. Beauty and Cosmetics
      • 6.5.5. Jewelry and Watches
      • 6.5.6. Others (eyewear, home decor)
    • 6.6. Market Analysis, Insights and Forecast – By End-User
      • 6.6.1. Fashion Designers
      • 6.6.2. Fashion Stores
    • 6.7. Market Analysis, Insights and Forecast – By Country
      • 6.7.1. U.S.
      • 6.7.2. Canada

      • 7. Europe AI in Fashion Market Analysis (USD Billion), Insights and Forecast, 2020-2027

      • 7.1. Key Findings / Summary
      • 7.2. Market Analysis, Insights and Forecast – By Components
        • 7.2.1. Solution
          • 7.2.1.1. Software Tools
          • 7.2.1.2. Platforms
        • 7.2.2. Services
          • 7.2.2.1. Training and Consulting
          • 7.2.2.2. System Integration and Testing
          • 7.2.2.3. Support and Maintenance
    • 7.3. Market Analysis, Insights and Forecast – By Applications
      • 7.3.1. Product Recommendation
      • 7.3.2. Product Search and Discovery
      • 7.3.3. Supply Chain Management and Demand Forecasting
      • 7.3.4. Creative Designing and Trend Forecasting
      • 7.3.5. Customer Relationship Management
      • 7.3.6. Virtual Assistants
      • 7.3.7. Others (Fraud detection, fabric waste reduction, and price optimization)
    • 7.4. Market Analysis, Insights and Forecast – By Deployment Mode
      • 7.4.1. Cloud
      • 7.4.2. On-premises
    • 7.5. Market Analysis, Insights and Forecast – By Category
      • 7.5.1. Apparel
      • 7.5.2. Accessories
      • 7.5.3. Footwear
      • 7.5.4. Beauty and Cosmetics
      • 7.5.5. Jewelry and Watches
      • 7.5.6. Others (eyewear, home decor)
    • 7.6. Market Analysis, Insights and Forecast – By End-User
      • 7.6.1. Fashion Designers
      • 7.6.2. Fashion Stores
    • 7.7. Market Analysis, Insights and Forecast – By Country
      • 7.7.1. UK
      • 7.7.2. Germany
      • 7.7.3. France
      • 7.7.4. Italy
      • 7.7.5. Spain
      • 7.7.6. Russia
      • 7.7.7. Rest of Europe

      • 8. Asia Pacific AI in Fashion Market Analysis (USD Billion), Insights and Forecast, 2020-2027

      • 8.1. Key Findings / Summary
      • 8.2. Market Analysis, Insights and Forecast – By Components
        • 8.2.1. Solution
          • 8.2.1.1. Software Tools
          • 8.2.1.2. Platforms
        • 8.2.2. Services
          • 8.2.2.1. Training and Consulting
          • 8.2.2.2. System Integration and Testing
          • 8.2.2.3. Support and Maintenance
    • 8.3. Market Analysis, Insights and Forecast – By Applications
      • 8.3.1. Product Recommendation
      • 8.3.2. Product Search and Discovery
      • 8.3.3. Supply Chain Management and Demand Forecasting
      • 8.3.4. Creative Designing and Trend Forecasting
      • 8.3.5. Customer Relationship Management
      • 8.3.6. Virtual Assistants
      • 8.3.7. Others (Fraud detection, fabric waste reduction, and price optimization)
    • 8.4. Market Analysis, Insights and Forecast – By Deployment Mode
      • 8.4.1. Cloud
      • 8.4.2. On-premises
    • 8.5. Market Analysis, Insights and Forecast – By Category
      • 8.5.1. Apparel
      • 8.5.2. Accessories
      • 8.5.3. Footwear
      • 8.5.4. Beauty and Cosmetics
      • 8.5.5. Jewelry and Watches
      • 8.5.6. Others (eyewear, home decor)
    • 8.6. Market Analysis, Insights and Forecast – By End-User
      • 8.6.1. Fashion Designers
      • 8.6.2. Fashion Stores
    • 8.7. Market Analysis, Insights and Forecast – By Country
      • 8.7.1. China
      • 8.7.2. India
      • 8.7.3. Japan
      • 8.7.4. Australia
      • 8.7.5. South East Asia
      • 8.7.6. Rest of Asia Pacific

      • 9. Latin America, Middle East and Africa AI in Fashion Market Analysis (USD Billion), Insights and Forecast, 2020-2027

      • 9.1. Key Findings / Summary
      • 9.2. Market Analysis, Insights and Forecast – By Components
        • 9.2.1. Solution
          • 9.2.1.1. Software Tools
          • 9.2.1.2. Platforms
        • 9.2.2. Services
          • 9.2.2.1. Training and Consulting
          • 9.2.2.2. System Integration and Testing
          • 9.2.2.3. Support and Maintenance
    • 9.3. Market Analysis, Insights and Forecast – By Applications
      • 9.3.1. Product Recommendation
      • 9.3.2. Product Search and Discovery
      • 9.3.3. Supply Chain Management and Demand Forecasting
      • 9.3.4. Creative Designing and Trend Forecasting
      • 9.3.5. Customer Relationship Management
      • 9.3.6. Virtual Assistants
      • 9.3.7. Others (Fraud detection, fabric waste reduction, and price optimization)
    • 9.4. Market Analysis, Insights and Forecast – By Deployment Mode
      • 9.4.1. Cloud
      • 9.4.2. On-premises
    • 9.5. Market Analysis, Insights and Forecast – By Category
      • 9.5.1. Apparel
      • 9.5.2. Accessories
      • 9.5.3. Footwear
      • 9.5.4. Beauty and Cosmetics
      • 9.5.5. Jewelry and Watches
      • 9.5.6. Others (eyewear, home decor)
    • 9.6. Market Analysis, Insights and Forecast – By End-User
      • 9.6.1. Fashion Designers
      • 9.6.2. Fashion Stores
    • 9.7. Market Analysis, Insights and Forecast – By Country
      • 9.7.1. Brazil
      • 9.7.2. Saudi Arabia
      • 9.7.3. UAE
      • 9.7.4. Rest of LAMEA

      • 10. Competitive Analysis

      • 10.1. Company Market Share Analysis, 2018
      • 10.2. Key Industry Developments
      • 10.3. Company Profile
      • 10.4. Microsoft
        • 10.4.1. Business Overview
        • 10.4.2. Segment 1 & Service Offering
        • 10.4.3. Overall Revenue
        • 10.4.4. Geographic Presence
        • 10.4.5. Recent Development
      *Similar details will be provided for the following companies
      • 10.5. IBM
      • 10.6. Google
      • 10.7. AWS
      • 10.8. SAP
      • 10.9. Facebook
      • 10.10. Adobe
      • 10.11. Oracle
      • 10.12. Catchoom
      • 10.13. Huawei
      • 10.14. Vue.ai
      • 10.15. Heuritech
      • 10.16. Wide Eyes
      • 10.17. FINDMINE
      • 10.18. Intelistyle
      • 10.19. Lily AI
      • 10.20. Pttrns.ai
      • 10.21. Syte
      • 10.22. mode.ai
      List of Figures

      Figure 1: Global Artificial Intelligence In Fashion Retail Market Revenue Breakdown (USD Billion, %) by Region, 2019 & 2027
      Figure 2: Global Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 3: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 4: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 5: Global Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 6: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 7: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 8: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 9: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 10: Global Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 11: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 12: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 13: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 14: Global Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 15: Global Artificial Intelligence In Fashion Retail Market Value (USD Billion), by Region, 2019 & 2027
      Figure 16: North America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 17: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 18: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 19: North America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 20: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 21: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 22: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 23: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 24: North America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 25: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 26: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 27: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 28: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 29: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by U.S., 2016-2027
      Figure 30: North America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Canada, 2016-2027
      Figure 31: Latin America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 32: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 33: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 34: Latin America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 35: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 36: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 37: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 38: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 39: Latin America Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 40: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 41: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 42: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 43: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 44: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Brazil, 2016-2027
      Figure 45: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Mexico, 2016-2027
      Figure 46: Latin America Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Rest of Latin America, 2016-2027
      Figure 47: Europe Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 48: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 49: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 50: Europe Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 51: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 52: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 53: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 54: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 55: Europe Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 56: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 57: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 58: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 59: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 60: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by U.K., 2016-2027
      Figure 61: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Germany, 2016-2027
      Figure 62: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by France, 2016-2027
      Figure 63: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Italy, 2016-2027
      Figure 64: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Spain, 2016-2027
      Figure 65: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Russia, 2016-2027
      Figure 66: Europe Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Rest of Europe, 2016-2027
      Figure 67: Asia Pacific Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 68: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 69: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 70: Asia Pacific Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 71: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 72: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 73: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 74: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 75: Asia Pacific Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 76: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 77: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 78: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 79: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 80: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by China, 2016-2027
      Figure 81: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by India, 2016-2027
      Figure 82: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Japan, 2016-2027
      Figure 83: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Australia, 2016-2027
      Figure 84: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Southeast Asia, 2016-2027
      Figure 85: Asia Pacific Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Rest of Asia Pacific, 2016-2027
      Figure 86: Middle East & Africa Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 1, 2019 & 2027
      Figure 87: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 88: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 89: Middle East & Africa Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 2, 2019 & 2027
      Figure 90: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 91: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 92: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 93: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 94: Middle East & Africa Artificial Intelligence In Fashion Retail Market Value Share (%), By Segment 3, 2019 & 2027
      Figure 95: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 1, 2016-2027
      Figure 96: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 2, 2016-2027
      Figure 97: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Sub-Segment 3, 2016-2027
      Figure 98: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Others, 2016-2027
      Figure 99: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by GCC, 2016-2027
      Figure 100: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by South Africa, 2016-2027
      Figure 101: Middle East & Africa Artificial Intelligence In Fashion Retail Market Forecast (USD Billion), by Rest of Middle East & Africa, 2016-2027 
      List of Tables
      Table 1: Global Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 2: Global Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 3: Global Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 4: Global Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Region, 2016-2027
      Table 5: North America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 6: North America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 7: North America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 8: North America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 9: Europe Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 10: Europe Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 11: Europe Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 12: Europe Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 13: Latin America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 14: Latin America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 15: Latin America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 16: Latin America Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 17: Asia Pacific Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 18: Asia Pacific Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 19: Asia Pacific Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 20: Asia Pacific Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Table 21: Middle East & Africa Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 1, 2016-2027
      Table 22: Middle East & Africa Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 2, 2016-2027
      Table 23: Middle East & Africa Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Segment 3, 2016-2027
      Table 24: Middle East & Africa Artificial Intelligence In Fashion Retail Market Revenue (USD Billion) Forecast, by Country, 2016-2027
      Research Process

      Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.

      In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization

      FIGURE 1: DLR RESEARH PROCESS

      research-methodology1

      Primary Research

      Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.

      In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.

      It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.

      Secondary Research

      Secondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.

      Market Size Estimation

      Both, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.

      Forecast Model

      research-methodology2

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