Factors such as an increase in use of social media in the fashion industry, a rise in demand for providing personalizing result experience and an increase in demand for inventory management in the fashion industry drive the growth of 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.
Download Sample Report at: https://www.alliedmarketresearch.com/request-sample/6615
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 an in-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
1. 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.
2. Information about key drivers, restraints, and opportunities and their impact analysis on the AI in the fashion market size is provided.
3. Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the AI in the fashion industry.
4. The quantitative analysis of AI in the fashion market from 2019 to 2027 is provided to determine AI in the fashion market potential.
For Report Customization: https://www.alliedmarketresearch.com/request-for-customization/6615
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, 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 in making strategic business decisions and achieving sustainable growth in their respective market domains.
Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies. This helps us dig out market data that helps us generate accurate research data tables and confirm utmost accuracy in our market forecasting. Every data company in the domain is concerned. Our secondary data procurement methodology includes deep presented in the reports published by us is extracted through primary interviews with top officials from leading online and offline research and discussion with knowledgeable professionals and analysts in the industry.
Contact: David Correa 5933 NE Win Sivers Drive #205, Portland, OR 97220 United States Toll-Free: 1-800-792-5285 UK: +44-845-528-1300 Hong Kong: +852-301-84916 India (Pune): +91-20-66346060 Fax: +1-855-550-5975 firstname.lastname@example.org Web: https://www.alliedmarketresearch.com Follow Us on: LinkedIn Twitter