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AI in Fashion Market Statistics 2020: Industry Size and Share, Trends, Increasing Demands, Advanced Technologies and Challenges with COVID-19 Impact Analysis

05-11-2020 02:05 PM CET | IT, New Media & Software

Press release from: Allied Market Research

AI in Fashion Market

AI in Fashion Market

The Objective of the "Global AI in Fashion Market" report is to depict the trends and upcoming for the AI in Fashion Market industry over the forecast years. AI in Fashion Market report data has been gathered from industry specialists/experts. Although the market size of the market is studied and predicted from 2020 to 2030 mulling over 2019 as the base year of the market study. Attentiveness for the market has increased in recent decades due to development and improvement in the innovation.

Access Full 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.

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.

Request Sample Report: https://www.alliedmarketresearch.com/request-sample/6615

AI in Fashion Market Key Players Profiled In The Report:

o Microsoft corporation
o IBM corporation
o Google Inc.
o Amazon Web Service Inc.
o SAP AG
o Lily AI
o Oracle
o Adobe
o Catchoom
o Heuritch

AI in Fashion Market By Category:

1. Apparels
2. Accessories
3. Footwear
4. Beauty &Cosmetics
5. Jewelry

For Purchase Inquiry: https://www.alliedmarketresearch.com/purchase-enquiry/6615

Key questions answered in AI in Fashion Market research study:
o What is the market growth rate of AI in Fashion Market from 2020-2030?
o What will be the global market size of the market from 2020 to 2030?
o Who are the leading global players in the AI in Fashion Market?
o What are the current trends and predicted trends?
o What are the challenges faced in the AI in Fashion Market?
o Which will be the niches at which players profiling with thorough plans, financials, and also recent advancements should set a presence?
o Which will be the anticipated growth rates for your own AI in Fashion Market economy altogether and also for every segment inside?
o Which will be the AI in Fashion Market application and types and forecast accompanied closely by producers?
o What are the conclusions of the AI in Fashion Market report?

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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 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 to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data 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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