{"id":459652,"date":"2020-01-06T12:22:01","date_gmt":"2020-01-06T12:22:01","guid":{"rendered":"https:\/\/www.abnewswire.com\/pressreleases\/?p=459652"},"modified":"2020-01-06T12:22:01","modified_gmt":"2020-01-06T12:22:01","slug":"latest-release-ai-in-fashion-market-is-booming-worldwide-with-cagr-of-3891-microsoft-ibm-google-aws-sap-facebook-adobe","status":"publish","type":"post","link":"https:\/\/www.abnewswire.com\/pressreleases\/latest-release-ai-in-fashion-market-is-booming-worldwide-with-cagr-of-3891-microsoft-ibm-google-aws-sap-facebook-adobe_459652.html","title":{"rendered":"Latest release: AI in Fashion Market is Booming Worldwide with CAGR of 38.91% | Microsoft, IBM, Google, AWS, SAP, Facebook, Adobe"},"content":{"rendered":"
\"Latest<\/a><\/p>\n
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AI in Fashion\n<\/div>\n<\/div>\n<\/div>\n
advent of modern cognitive computing technologies such as machine learning, deep learning, virtual reality, and natural language processing for analyzing huge amounts of fashion data, the impact of AI in the fashion industry is transforming. <\/div>\n

Advance Market Analytics recently introduced Global AI in Fashion Market<\/em><\/strong> study with in-depth overview, describing about the Product \/ Industry Scope and elaborates market outlook and status to 2025. AI in Fashion Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry.<\/p>\n

Definition:<\/strong><\/p>\n

Fashion is a growing industry with economic and social implications worldwide. With the advent of modern cognitive computing technologies such as machine learning, deep learning, virtual reality, and natural language processing for analyzing huge amounts of fashion data, the impact of AI in the fashion industry is transforming. Additionally, fashion brands are using machine learning and AI for maximizing customer shopping experience and enhancing the efficiency of sales systems through intelligent process automation using predictive analytics and well-organized sales processes. Moreover, growth in the fast fashion retail industry expected to fuel the growth of AI in the fashion market during the forecasted period.<\/em><\/p>\n

Get Latest insights about acute features of the Global AI in Fashion market (Free Sample Report + All Related Graphs & Charts): <\/em><\/strong>https:\/\/www.advancemarketanalytics.com\/sample-report\/117054-global-ai-in-fashion-market<\/a> <\/strong><\/p>\n

Major Key Players in This Report Include: <\/strong><\/p>\n

Microsoft (United States), IBM (United States), Google (United States), AWS (United States), SAP (Germany), Facebook (United States), Adobe (United States), Oracle (United States), Catchoom (Spain), Huawei (China), Vue.ai (United States), Heuritech (France), Wide Eyes (Spain), FINDMINE (United States), Intelistyle (England), Lily AI (United States), Pttrns.ai (Netherlands), Syte (Israel), Mode.ai (United States), Stitch Fix (United States)<\/em><\/p>\n

This study mainly helps understand which market segments or Region or Country they should focus in coming years to channelize their efforts and investments to maximize growth and profitability. The report presents the market competitive landscape and a consistent in depth analysis of the major vendor\/key players in the market. <\/p>\n

Market Drivers:<\/strong><\/p>\n

Rising Customer Demand for Personalized Fashion Experience<\/em><\/p>\n

Growing Need for Automated Inventory Management in Fashion Industry<\/em><\/p>\n

Market Trends:<\/strong><\/p>\n

Increasing Influence of Social Media on the Fashion Industry<\/em><\/p>\n

Growing Fast Fashion Retail Industry<\/em><\/p>\n

Market Opportunities:<\/strong><\/p>\n

Emergence of Technologies Such As Machine Learning, Deep Learning, Natural Language Processing, and Virtual Reality in Fashion Industry<\/em><\/p>\n

Growing Demand from the Developing Economies <\/em><\/p>\n

Market Restraints:<\/strong><\/p>\n

Difficult Integration with Legacy Systems<\/em><\/p>\n

Market Challenges:<\/strong><\/p>\n

Lack of Awareness among End Users<\/em><\/p>\n

Competitive Landscape:<\/strong><\/p>\n

Mergers & Acquisitions, Agreements & Collaborations, New Product Developments & Launches, Business overview & Product Specification for each player listed in the study.<\/p>\n

The Global AI in Fashion Market segments and Market Data Break Down are illuminated below:<\/strong><\/p>\n

by  Application (Product Recommendation, Product Search and Discovery, Supply Chain Management and Demand Forecasting, Creative Designing and Trend Forecasting, Customer Relationship Management, Virtual Assistants, Others (Fraud Detection, Fabric Waste Reduction, and Price Optimization)), Deployment Mode (Cloud, On-Premises), Category (Apparel, Accessories, Footwear, Beauty & Cosmetics, Jewelry & Watches, Others (Eyewear, Home Decor)), End-User (Fashion Designers, Fashion Stores), Component (Solution (Software Tools, Platforms), Services (Training and Consulting, System Integration and Testing, Support and Maintenance)) <\/em><\/p>\n

Region Included are:<\/strong> North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa<\/p>\n

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.<\/p>\n

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<\/strong>Highlights of the report:<\/strong><\/p>\n