AI in Fashion Market May See a Growth Rate of 38.19% : AWS, IBM, SAP, Google

 

Edison, NJ -- (SBWIRE) -- 09/30/2020 -- Global AI in Fashion Market Report from AMA Research highlights deep analysis on market characteristics, sizing, estimates and growth by segmentation, regional breakdowns & country along with competitive landscape, players market shares, and strategies that are key in the market. The exploration provides a 360° view and insights, highlighting major outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions to improved profitability. In addition, the study helps venture or private players in understanding the companies in more detail to make better informed decisions. According to Market Analyst at AMA, the Global AI in Fashion market may see a growth rate of 38.19%.

Major 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) and Lily AI (United States)

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Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in AI in Fashion Market various segments and emerging territory.

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

Market Trend
- Increasing Influence of Social Media on the Fashion Industry
- Growing Fast Fashion Retail Industry

Restraints
- Difficult Integration with Legacy Systems

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

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In this research study, the prime factors that are impelling the growth of the Global AI in Fashion market report have been studied thoroughly in a bid to estimate the overall value and the size of this market by the end of the forecast period. The impact of the driving forces, limitations, challenges, and opportunities has been examined extensively. The key trends that manage the interest of the customers have also been interpreted accurately for the benefit of the readers.

The AI in Fashion market study is being classified by Type, Applications and major geographies with country level break-up that includes South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

The report concludes with in-depth details on the business operations and financial structure of leading vendors in the Global AI in Fashion market report, Overview of Key trends in the past and present are in reports that are reported to be beneficial for companies looking for venture businesses in this market. Information about the various marketing channels and well-known distributors in this market was also provided here. This study serves as a rich guide for established players and new players in this market.

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Current Scenario Analysis for Decision Framework
Key Strategic Developments in AI in Fashion Market:
The research includes the key strategic activities such as Research & Development (R&D) initiatives, Merger & Acquisition (M&A) completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale to overcome current slowdown due to COVID-19.

Key Market Features in Global AI in Fashion Market
The report highlights AI in Fashion market features, including revenue size, weighted average regional price, capacity utilization rate, production rate, gross margins, consumption, import & export, demand & supply, cost bench-marking in AI in Fashion, market share and annualized growth rate (Y-o-Y) and Periodic CAGR.

Extracts from Table of Contents
Chapter 1: AI in Fashion Market Overview
Chapter 2: Global AI in Fashion Market Share and Market Overview
Chapter 3: AI in Fashion Market Manufacturers/Players Analysis
3.1 Market Concentration Rate
3.2 Competition Scenario: BCG Matrix [Relative Market Share v/s Revenue Growth Rate]
3.3 Heat Map Analysis
3.4 Comparative Market Share Analysis by Players (2018-2019) Rank, [% Market Share, Market Revenue]
3.5 Company Profile - Business Distribution by Region, Interview Record, Business Profile, Product/Service Specification, Price, Revenue and Gross profit 2017-2019
3.6 Price Benchmarking (2017-2019)
Chapter 4: Global AI in Fashion Market Segmentation (Country Level Breakdown) (2014-2025)
- North America: United States, Canada, and Mexico.
- South & Central America: Argentina, Chile, and Brazil.
- Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
- Europe: United Kingdom, France, Italy, Germany, Spain, Belgium, Netherlands, Poland and Russia.
- Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
Chapter 5: Global AI in Fashion Market Breakdown by Segments (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)))
5.1 Global AI in Fashion Market Segmentation (Product Type) Market Size 2014-2025
5.2 Different AI in Fashion Price Analysis by Product Type (2014-2025)
5.3 Global AI in Fashion Market Segmentation (Product Type) Analysis
5.4 Global AI in Fashion Market by Application/End users Market Size 2014-2025
5.5 Global AI in Fashion Market Segmentation (other segments) Analysis
Chapter 6: Methodology/Research Approach, Data Source, Disclaimer

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This report also analyzes the regulatory framework of the Global Markets AI in Fashion Market Report to inform stakeholders about the various norms, regulations, this can have an impact. It also collects in-depth information from the detailed primary and secondary research techniques analyzed using the most efficient analysis tools. Based on the statistics gained from this systematic study, market research provides estimates for market participants and readers.

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