Press release
AI in Fashion Market Deployment Mode (Cloud and On-premise), Application (Product Recommendation), Global Opportunity Analysis and Industry Forecast, 2021–2027
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.Access Full Report Summary:- https://www.alliedmarketresearch.com/ai-in-fashion-market-A06250
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.
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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.
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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 from 2019 to 2027 is provided to determine AI in the fashion market potential.
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based inPortland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in theirrespective market domains. AMR offers its services across 11 industry verticals including Life Sciences, Consumer Goods, Materials & Chemicals, Construction & Manufacturing, Food & Beverages, Energy & Power, Semiconductor & Electronics,Automotive & Transportation, ICT & Media, Aerospace & Defense, and BFSI.
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