AI in Fashion Market Size, Share, Competitive Landscape and Trend Analysis Report by Components, by Application, by Deployment Mode, by Type and by End User : Global Opportunity Analysis and Industry Forecast, 2023-2032

Artificial Intelligence (AI) has changed the pattern of fashion business strategies. There are a lot of methods in which artificial intelligence has helped the fashion business. This includes the use of predictive analytics and computer vision in recognition of product features. The use of AI has increased in fashion industry mainly to analyze search behaviors and to provide similarre commendation of products according to consumer preference. The use of AI analyzes and records the frequent results searched by the user based on brand, color, size, fashion trend, and price, which help it to show more relevant searches next time.

Factors such as increase in use of social media in the fashion industry, rise in demand for providing personalizing result experience, and increase in demand for inventory management in fashion industry drive the growth of the AI in the fashion market. However, problems like integration with legacy system hinder the growth of the market globally. Furthermore, shifting preference toward identifying upcoming fashion trends by analyzing consumers purchasing behavior and rise in growth of the fashion retail market are expected to boost the adoption of AI in the fashion industry.

The AI in the fashion market is segmented on the basis of component, deployment mode, application, category, end-user, and region. By component, it is bifurcated into solutions and services. The solution segment is further divided into software tools & platforms. The service segment is further divided into training & consulting, system integration, and testing. By deployment model, the market is bifurcated into the cloud and on-premise. By application, it is classified into product recommendation, product search & discovery, supply chain management & demand forecasting, creative design, and virtual assistance. By category, it is classified into apparel, accessories, footwear, beauty & cosmetics, and jewelry. By end-user, it is divided into a fashion designer, fashion store, and others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

This report gives anin-depth analysis of the key players in the AI in the Fashion markets, which are Microsoft Corporation, IBM Corporation, Google Inc., Amazon Web Service Inc., SAP AG, Lily AI, Oracle Corporation, Catchoom, and Heuritch.

Key Benefits For Stakeholders 

• The study provides an in-depth analysis of the AI in the fashion market along with the current trends and future estimations to elucidate the imminent investment pockets.

• Information about key drivers, restraints, and opportunities and their impact analysis on the AI in the fashion market size is provided.

• Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the AI in the fashion industry.

• The quantitative analysis of the AI in the fashion market is provided to determine AI in the fashion market potential.

  AI in Fashion Market Report Highlights

Aspects	Details
By Components	Solution Service
By Application	Product Recommendation Product Search and Discovery Supply Chain Management and Demand Forecasting Creative Designing and Trend Forecasting Customer Relationship Management Virtual Assistants Others
By Deployment Mode	Cloud On-Premise
By Type	Apparel Accessories Footwear Beauty and Cosmetics Jewelry and Watches Others
By End User	Fashion Designers Fashion Stores
By Region	North America  (U.S., Canada) Europe  (France, Germany, Italy, Spain, UK, Russia, Rest of Europe) Asia-Pacific  (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific) LAMEA  (Latin America, Middle East, Africa)
Key Market Players	Adobe, Microsoft Corporation, Heuritech, Amazon Web Services, Inc, Google LLC, Facebook, Inc., Oracle Corporation, Huawei Technologies Co., Ltd., IBM Corporation, SAP SE