NJ New Jersey, USA -- (SBWIRE) -- 12/16/2022 -- The latest study released on the Global AI in Fashion Market by AMA Research evaluates market size, trend, and forecast to 2027. The AI in Fashion market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

Key Players in This Report Include:
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),

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Definition:
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.

Market Trend:
- Increasing Influence of Social Media on the Fashion Industry
- Growing Fast Fashion Retail Industry
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Market Drivers:
- Rising Customer Demand for Personalized Fashion Experience
- Growing Need for Automated Inventory Management in Fashion Industry
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Market Opportunities:
- Emergence of Technologies Such As Machine Learning, Deep Learning, Natural Language Processing, and Virtual Reality in Fashion Industry
- Growing Demand from the Developing Economies
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The Global AI in Fashion Market segments and Market Data Break Down are illuminated below:
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))

Global AI in Fashion market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to help the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
- The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
- North America (United States, Mexico & Canada)
- South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report
- -To carefully analyze and forecast the size of the AI in Fashion market by value and volume.
- -To estimate the market shares of major segments of the AI in Fashion
- -To showcase the development of the AI in Fashion market in different parts of the world.
- -To analyze and study micro-markets in terms of their contributions to the AI in Fashion market, their prospects, and individual growth trends.
- -To offer precise and useful details about factors affecting the growth of the AI in Fashion
- -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI in Fashion market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:
AI in Fashion Market Study Coverage:
- It includes major manufacturers, emerging player's growth story, and major business segments of AI in Fashion market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
- AI in Fashion Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
- AI in Fashion Market Production by Region AI in Fashion Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
- Key Points Covered in AI in Fashion Market Report:
- AI in Fashion Overview, Definition and Classification Market drivers and barriers
- AI in Fashion Market Competition by Manufacturers
- Impact Analysis of COVID-19 on AI in Fashion Market
- AI in Fashion Capacity, Production, Revenue (Value) by Region (2021-2027)
- AI in Fashion Supply (Production), Consumption, Export, Import by Region (2021-2027)
- AI in Fashion Production, Revenue (Value), Price Trend by Type {Payment Gateway, Merchant Account, Subscription Management,}
- AI in Fashion Manufacturers Profiles/Analysis AI in Fashion Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
- Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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Key questions answered
- How feasible is AI in Fashion market for long-term investment?
- What are influencing factors driving the demand for AI in Fashion near future?
- What is the impact analysis of various factors in the Global AI in Fashion market growth?
- What are the recent trends in the regional market and how successful they are?

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