AI in Fashion Market 2021 Growth, COVID Impact, Trends Analysis Report 2027

Artificial intelligence (AI) has changed the pattern of fashion business strategy. There are many ways artificial intelligence has helped the fashion business. This includes the use of predictive analytics and computer vision to recognize product features. The use of AI has increased primarily in the fashion industry to analyze search behavior and provide similar product praise based on consumer preferences. With AI, users’ frequently searched results are analyzed and recorded based on brand, color, size, fashion trend, price, etc., to show you the next more relevant search.

Factors such as the increased use of social media in the fashion industry, the growing demand for personalized and resulting experiences, and the increasing demand for inventory management in the fashion industry are driving the growth of AI in the fashion market. However, problems such as integration with legacy systems hinder the growth of the global market. In addition, it is expected that AI adoption in the fashion industry will be promoted as the preference shift toward analyzing the consumer’s purchasing behavior and the growth of the fashion retail market to identify upcoming fashion trends.

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AI in Fashion Market Segmentation

By Component

• Solutions
• Software Tools
• Platform
• Services
• Training &Consulting
• System Integration &Testing

By Deployment Mode

• Cloud
• On-premise


By Application

• Product Recommendation
• Product Search & Discovery
• Supply Chain Management
• Creative Design
• Virtual Assistance
• Others

By Category

• Apparels
• Accessories
• Footwear
• Beauty &Cosmetics
• Jewelry

By End-User

• Fashion Designers
• Fashion Stores

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• We cover more than 15 major industries, further segmented into more than 90 sectors.
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(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)