AI in Fashion by Component, Application, Deployment Mode, Category, End-User, and Region - Global Forecast to 2026 -

DUBLIN--()--The "AI in Fashion by Component, by Application, by Deployment Mode, by Category, by End-User, and Region - Forecast up to 2026" report has been added to's offering.

Fashion Industry is seen as one of the most competitive markets where something which is trending today may find itself in the corner the next day. In the backdrop of the pandemic, artificial intelligence (AI) can be used as the smartest tool to help the interests of the customers. Right now, it has been used to increase the productivity of the manufacturing of the clothes and the smooth functioning of enterprises.

A need for personalization of products has made AI the top choice of every industry. We have already witnessed the "suggestions based on what you have seen" on various OTT platforms like Netflix, Amazon, and a plethora of others. The current environment values personal experience as the highest. Time to see some disruptive ideas emerging in the fashion industry as well. AI has umpteen applications in the fashion industry, ranging from product recommendation, product search, creative designing, and trend forecasting, virtual assistant, supply chain management, and demand forecasting and other applications.

There has been a huge demand for AI in the fashion industry and this is major because of the rising influence of social media on the industry of fashionistas. The growing popularity of personalized experience is the driving force behind the demand for AI. Apart from this, giving suggestions to the customer concerning upcoming future trends tracking their past shopping behavior and the growth in the retail industry are the other two key factors that are boosting the adoption of AI in the fashion hub.

India, being a diverse country that has huge diverse behavior in terms of culture and region, such differentiation can be a huge challenge to cope up with. The extra clutter on social media is also something that needs to be broken down to capture enough eye-balls of the customers.

There is no speck of doubt that Artificial Intelligence AI has changed the way business is done. With the growing popularity of e-commerce, more and more consumer data is being tracked than ever. Most of the trending fashion platforms are able to decode consumer data based on their shopping behavior.

Key providers operating in the global AI in fashion include Adobe, Oracle, Catchoom, Huawei, Vue.AI, Heuritech, Wide Eyes, Findmine, Intelistyle, Lily AI, IBM, Microsoft, Google, Facebook, AWS, Pttrns.AI, SAP, Stitch Fix, Syte, and Mode AI.

Key Topics Covered:

Executive Summary

Industry Outlook

  • Industry Overview
  • Industry Trends

Market Snapshot

  • Market Definition
  • Market Outlook
  • PEST Analysis
  • Porter Five Forces
  • Related Markets
  • Ecosystem
  • Market Outlook
  • Market Evolution
  • Market Trends and Impact
  • Market Segmentation
  • Market Dynamics
  • Drivers
  • Restraints
  • Opportunities
  • DRO - Impact Analysis

Components: Market Size & Analysis

  • Overview
  • Solution
  • Services

Application: Market Size & Analysis

  • Overview
  • Customer Relationship Management
  • Virtual Assistants
  • Product Recommendation
  • Product Search and Discovery
  • Supply Chain Management and Demand Forecasting
  • Creative Designing and Trend Forecasting

Deployment Mode: Market Size & Analysis

  • Overview
  • Cloud
  • On-premises

Category: Market Size & Analysis

  • Overview
  • Apparel
  • Accessories
  • Footwear
  • Beauty and Cosmetics
  • Jewellery and Watches
  • Others

End User: Market Size & Analysis

  • Overview
  • Fashion Designers
  • Fashion Stores

Geography: Market Size & Analysis

  • Overview
  • North America
  • Europe
  • Asia Pacific
  • Rest of the World

Competitive Landscape

  • Competitor Comparison Analysis
  • Market Developments
  • Mergers and Acquisitions, Legal, Awards, Partnerships
  • Product Launches and execution

Vendor Profiles

  • Adobe
  • Overview
  • Product Offerings
  • Geographic Revenue
  • Business Units
  • Developments
  • SWOT Analysis
  • Business Strategy
  • Oracle
  • Catchoom
  • Huawei
  • Vue.AI
  • Heuritech
  • Wide Eyes
  • Findmine
  • Intelistyle
  • Lily AI

Companies to Watch

  • IBM
  • Overview
  • Market
  • Business Strategy
  • Microsoft
  • Google
  • Facebook
  • AWS
  • Pttrns.AI
  • SAP
  • Stitch Fix
  • Syte
  • Mode AI

For more information about this report visit

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

Laura Wood, Senior Press Manager
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900