AI in Fashion Market Size, Share Report, Analysis, Growth, 2030

AI in Fashion Market

AI in Fashion Market: By Component (Solutions, Services and Support and Maintenance) By Deployment Mode (Cloud and On-Premises) By Application (Product Recommendation, Product Search and Discovery, Creative Designing and Trend Forecasting, Supply Chain Management and Demand Planning, Customer Relationship Management, Virtual Assistant and Others) By Category (Apparel, Footwear, Beauty and Cosmetics, Accessories, Watches and Jewelry) By End Users (Fashion Stores and Fashion Designers) By Region: Global Industry Perspective, Comprehensive Analysis And Forecast, 2019 – 2025.

Category: Technology & Media Report Format : PDF Pages: 172 Report Code: ZMR-4882 Published Date: Oct-2019 Status : Published
Market Size in 2018 Market Forecast in 2026 CAGR (in %) Base Year
USD XX Million USD XX Million 4.5% 2018

AI In Fashion Industry Perspective:
    
The global AI In Fashion market size was evaluated at $XX million in 2022 and is slated to hit $XX million by the end of 2030 with a CAGR of nearly XX% between 2023 and 2030.

There is no doubt that Artificial Intelligence AI has changed the way business is done. There are a myriad of ways in which AI has helped the fashion business style from the use of predictive analytics for industry and computer vision in recognition of product features. Just as Netflix, Amazon or YouTube can suggest similar shows or products, the same thing can be done by AI in the fashion industry.

With the growing popularity of e-commerce, more consumer data is being tracked than ever. Most popular fashion websites are able to record the browsing habits of their buyers, thereby recommending similar items based on color, style, or layout.

The AI in fashion market shows a significant demand owing to the rising influence of social media on the fashion industry. The rising demand for a personalized experience is another factor driving the demand for AI in fashion business.

Moreover, recognizing future fashion trends by tracking customers' shopping patterns and drastic growth in fashion retail are the other two key factors boosting the adoption of artificial intelligence in fashion market. However, tie-ups with cultural differentiation and huge traffic on social media may pose a challenge to the market.

AI In Fashion Market: Segmentation

On the basis of components, AI in fashion market is fragmented into solutions and services. Due to a higher adoption rate, the solution segment outperforms the services segment and is expected to record higher growth in the future. Fashion retailers are moving more and more towards advanced technologies that can streamline their business processes and help attract new customers.

In addition, it has become challenging for organizations to identify current trends through different social media platforms and cater to the customer's every need. Consequently, fashion retailers and brands are gradually adopting AI-based solutions, including platform and software tools like SDKs, APIs, and ML models.

The deployment segment is segmented into cloud and on-premises. With improvements in integration and scalability coupled with ease of deployment, the cloud-based deployment mode is anticipated to drive the adoption of cloud-based AI solutions in the fashion business; While advantages of data privacy and security drive the demand for on-premises AI solutions in the fashion industry.

The global AI in fashion market covers five major geographic regions, namely North America, Asia Pacific (APAC), Europe, Middle East & Africa (MEA), and Latin America. North America is expected to have the largest market size during the forecast period due to the availability of advanced technologies.

The APAC region is showing a rapid growth in the AI fashion market due to various reasons such as the growing adoption of social media and expanding local businesses and government initiatives focused on developments in AI technology. Tech giant investments are also expected to fuel the growth of AI-based solutions worldwide.

AI In Fashion Market: Report Scope

Report Attributes Report Details
Report Name AI In Fashion Market Research Report
Market Size in 2018 USD XX Million
Market Forecast in 2026 USD XX Million
Growth Rate CAGR of XX%
Number of Pages 255
Forecast Units Value (USD Billion), and Volume (Units)
Key Companies Covered Microsoft, IBM, Google, Facebook, Adobe, AWS, SAP, Oracle, Huawei, Vue.ai, Catchoom, Heuritech, FINDMINE, Intelistyle, Wide Eyes, Lily AI, and Pttrns.ai among others
Segments Covered By Component, By Deployment Mode, By Application, By Category, By End Users, By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East and Africa (MEA)
Base Year 2018
Historical Year 2016 to 2018
Forecast Year 2019 - 2026
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

AI In Fashion Market: Competitive Space

The AI in fashion market comprises key solution providers, such as

  • Microsoft
  • IBM
  • Google
  • Facebook
  • Adobe
  • AWS
  • SAP
  • Oracle
  • Huawei
  • Vue.ai
  • Catchoom
  • Heuritech
  • FINDMINE
  • Intelistyle
  • Wide Eyes
  • Lily AI
  • Pttrns.ai 
  • among others

The report segments the AI in Fashion market as follows:

Global AI in Fashion Market: Component Segment Analysis

  • Solutions
  • Services
  • Support and Maintenance

Global AI in Fashion Market: Deployment Mode Segment Analysis

  • Cloud
  • On-Premises

Global AI in Fashion Market: Application Segment Analysis

  • Product Recommendation
  • Product Search and Discovery
  • Creative Designing and Trend Forecasting
  • Supply Chain Management and Demand Planning
  • Customer Relationship Management
  • Virtual Assistant
  • Others

Global AI in Fashion Market: Category Segment Analysis

  • Apparel
  • Footwear
  • Beauty and Cosmetics
  • Accessories
  • Watches and Jewelry

Global AI in Fashion Market: End Users Segment Analysis

  • Fashion Stores
  • Fashion Designers

Global AI in Fashion Market: Regional Segment Analysis

  • North America
    • U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East and Africa

Table Of Content

Methodology

FrequentlyAsked Questions

Fashion AI integrates artificial intelligence technologies with different fashion industry areas. Machine learning, computer vision, and data analytics improve and streamline fashion operations. AI can forecast trends and customer preferences, optimize supply chain management, personalize shopping experiences, and create creative concepts in fashion. AI helps fashion companies make better decisions, boost efficiency, and personalize customer experiences.
 

The AI in fashion market shows a significant demand owing to rising influence of social media on fashion industry. Rising demand for a personalized experience is another factor driving the demand for AI in fashion business.

The Global AI In Fashion Market Size Was Worth $XX Million in 2018 and Is Expected To Reach $XX Million by the end of 2026, CAGR of XX%.

North America is expected to have the largest market size during the forecast period due to the availability of advanced technologies.

The AI in fashion market comprises key solution providers, such as Microsoft, IBM, Google, Facebook, Adobe, AWS, SAP, Oracle, Huawei, Vue.ai, Catchoom, Heuritech, FINDMINE, Intelistyle, Wide Eyes, Lily AI, and Pttrns.ai among others

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