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AI in Fashion Market Deployment Mode (Cloud and On-premise), Application (Product Recommendation), Global Opportunity Analysis and Industry Forecast, 2021–2027
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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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About Allied Market Research:
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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that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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