AI in Fashion Market May Set Epic Growth Story | Microsoft, IBM, Google

The latest report on the "AI in Fashion Market To 2028" by the AMA Research includes an analysis of various factors such as size, share, growth factors, sales, demand, revenue, trade, forecast, and global companies analysis. The report provides a detailed examination of the current status of factors such as supply chain management, niche markets, distribution channels, trade, supply and demand, and production capability across different countries to provide a more comprehensive understanding of the industry.

The Prominent/Emerging Players in the AI in Fashion Market includes: 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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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.

AI in Fashion Market Segmentation:
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))

Market Drivers:
Rising Customer Demand for Personalized Fashion Experience
Growing Need for Automated Inventory Management in Fashion Industry

Market Trends:
Increasing Influence of Social Media on the Fashion Industry
Growing Fast Fashion Retail Industry

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

Challenges:
Lack of Awareness among End Users

15th October 2019, Amazon Fashion launched a new AI-powered StyleSnap feature integrated with matching learning technology to find style and clothing by analyzing a photo to its application. This tool is currently available in Germany and the United Kingdom for bottoms, tops, dresses, bags, and shoes in menswear and womenswear categories.

Global AI in Fashion Market, Regional Analysis: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Report Scope:
The report offers valuable insights into the impact of key players on the market, including their size, industry overview, and product offerings. To evaluate the expansion of these players, the report examines their recent advancements in the field. Covering all major geographical regions and sub-regions worldwide, the report specifically focuses on the market size, market shares, and competitive landscape of the AI in Fashion industry, as well as sales and growth opportunities within these regions. Additionally, the report analyzes the upstream and downstream activities of market players, including their production and distribution channels, as well as product cost analysis. The report highlights critical information and factual data regarding market drivers, limitations, opportunities, trends, and future prospects.

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The following is a breakdown of the major topics covered in this document, presented in a Table of Contents format.

1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2023-2028
1.2.1. AI in Fashion Market, by Type, 2023-2028
1.2.2. AI in Fashion Market, by Application, 2023-2028
1.2.3. AI in Fashion Market, by Region, 2023-2028
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption

2. Global AI in Fashion Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study

3. Global AI in Fashion Market Dynamics
3.1. AI in Fashion Market Impact Analysis (2023-2028)
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities

4. Global AI in Fashion Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry

5. Competitive Intelligence….

View the full details of the AI in Fashion market report, including the table of contents and list of tables @ https://www.advancemarketanalytics.com/reports/117054-global-ai-in-fashion-market#utm_source=OpenPR/Rahul

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