AI in Fashion Comprehensive Study .

About AI in Fashion

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.

AttributesDetailsStudy Period2018-2030Base Year2023UnitValue (USD Million)CAGR38.19%

Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global AI in Fashion market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.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) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are Pttrns.ai (Netherlands), Syte (Israel), Mode.ai (United States) and Stitch Fix (United States).

Segmentation Overview

AMA Research has segmented the market of Global AI in Fashion market by , Application (Product Recommendation, Product Search and Discovery, Supply Chain Management and Demand Forecasting, Creative Designing and Trend Forecasting, Customer Relationship Management, Virtual Assistants and Others [Fraud Detection, Fabric Waste Reduction, and Price Optimization]) and Region.On the basis of geography, the market of AI in Fashion has been segmented into 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). If we see Market by Deployment Mode, the sub-segment i.e. Cloud will boost the AI in Fashion market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Category, the sub-segment i.e. Apparel will boost the AI in Fashion market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End-User, the sub-segment i.e. Fashion Designers will boost the AI in Fashion market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Solution [Software Tools, Platforms] will boost the AI in Fashion market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:

Increasing Influence of Social Media on the Fashion Industry and Growing Fast Fashion Retail Industry

Market Growth Drivers:

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

Challenges:

Lack of Awareness among End Users

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 and Growing Demand from the Developing Economies15th 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.

Key Target Audience

AI in Fashion Providers, Technology Providers, Potential Investors, Government and Research Organizations, Trade Associations and Industry Bodies and Others

About Approach

To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.https://www.advancemarketanalytics.com/sample-report/117054-global-ai-in-fashion-market?industry=application-software ?utm_source=LinkedIn&utm_medium=Hrushikesh