AI in Fashion Market to reach US $1,639 million by 2025– Global Insights on Top Players, Value Chain Analysis, Key Growth Drivers, Strategic Initiatives and Future Prospect: Adroit Market Research

Dallas, Texas, July 10, 2020 (GLOBE NEWSWIRE) — The “AI in Fashion Market by Category (Accessories, Beauty & Cosmetics, Jewelry & Watches, Apparel, Footwear, and Others), Application (Creative Designing and Trend Forecasting, Virtual Assistant, Customer Relationship Management, Product Recommendation, Supply Chain Management & Demand Planning, and Others), End Users (Fashion Stores and Fashion Designers), and Region Global Forecast, 2018 to 2025” study provides an elaborative view of historic, present and forecasted market estimates.Request a pdf sample at https://www.adroitmarketresearch.com/contacts/request-sample/1143The global AI in Fashion market size is anticipated to reach USD 1,639 million by 2025. In addition, it is expected to exhibit a CAGR of nearly 38% during the forecast period 2018-2025. The fashion industry is dynamic as the fashion trends keep changing every time. The everyday new range of patterns and designs come to the market that sets new fashion trends. Also, fashion retailers and designers always need to keep updated with such vastly changing styles. Hence, artificial intelligence retailers can analyze such trends and customers based on their preferences and choices and target the market accordingly.The current and future AI in fashion market advances are defined to state the attractiveness of the market. Key impacting aspects focus on AI in the fashion of market opportunities during the forecast period. Factors such as the growing need for better inventory management solutions are driving the market growth. Also, increasing the need to enhance customer experience is fuelling the adoption of AI technology in fashion industry. Moreover, the increasing social media influence on the fashion industry is also boosting the global AI in Fashion market growth. However, the existence of legacy systems is expected to hamper the market growth. Furthermore, the growing need to analyze customers buying preferences and future fashion trends is anticipated to provide growth opportunities for AI in the fashion market in the upcoming years.Browse the full report with Table of Contents and List of Figures at https://www.adroitmarketresearch.com/industry-reports/ai-in-fashion-marketThe report also highlights various aspects of the global AI in the fashion industry by analyzing the market through value chain analysis. Besides, the AI in the fashion market report covers different qualitative aspects of the AI in the fashion industry in market drivers, key industry opportunities, and restraints. Furthermore, the report proposes a comprehensive valuation of the market competitiveness along with company profiling of residents as well as global vendors.The AI in the fashion market has solid competition among the early established and new players. Also, to capture a competitive advantage over the other industry players many industry players are aiming potential markets by forming collaboration and partnerships, agreements, mergers & acquisitions, acquiring new startups & other companies, and escalating their business presence.Direct purchase the single user copy of the report at https://www.adroitmarketresearch.com/researchreport/purchase/1143Based on the application, the market is segmented into creative designing and trend forecasting, virtual assistant, supply chain management & demand planning, customer relationship management, product recommendation, and others. The product recommendation segment leads the market growth in 2019 and it is projected to hold its position during the forecast years. The growth of this segment is primarily accredited to the increasing trend of online sales and shoppingThe Asia-Pacific region is projected to experience the highest growth throughout the forecast period. The growing adoption of social media platforms is enabling fashion designers and retailers to reach their customers and promote their products based on their preferences hence driving the market growth in the Asia-Pacific region. However, the North American region dominated the overall market in 2019 and it is expected to keep its position throughout the forecast period 2018-2025. The dominance of this region is mainly attributed to the existence of key market vendors.Are you looking for a discount? If yes, then get in touch with us at https://www.adroitmarketresearch.com/contacts/discount/1143The major players of the global AI in the fashion market are Adobe, IBM, Oracle, SAP, Amazon Web Services, Catchoom, Facebook, Google, Microsoft, and Intelistyle. Moreover, the other prospective players in the AI in the fashion market are Huawei Technologies Co., WIDE EYES TECHNOLOGIES, Heuritech, Site, and PTTRNS.AI. The recognized companies are coming up with innovative and new AI in fashion solutions. AI in the fashion market comprises well established local as well as global players. In addition, the already recognized market players are coming up with new innovative tools, platforms, and services to stay competitive in the global market.Major points from Table of Contents:
Chapter 1    Introduction
Chapter 2    Research Methodology
Chapter 3    Executive Summary
Chapter 4    Market Outlook
Chapter 5    AI in Fashion Market by Category
Chapter 6    AI in Fashion Market by Application
Chapter 7    AI in Fashion Market by End Users
Chapter 8    AI in Fashion Market by Region
Chapter 9    Competitive Landscape
Chapter 10    Company ProfilesAccess research repository of Upcoming Reports @ https://adroitmarketresearch.com/upcoming.html  About Us:
Adroit Market Research is a global business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a market’s size, key trends, participants and future outlook of an industry. We intend to become our clients’ knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code– Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.Contact Us:
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