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Global AI in Fashion Market – Industry Trends and Forecast to 2028

ICT | Upcoming Report | Jan 2021 | Global | 350 Pages | No of Tables: 220 | No of Figures: 60

Report Description

Global AI in Fashion Market, By Component (Solutions, Services), Deployment Mode (Cloud, On-Premises), Application (Product Recommendation, Product Search & Discovery, Creative Designing & Trend Forecasting, Supply Chain Management & Demand Planning, Customer Relationship Management, Virtual Assistant, Others), Category (Apparel, Footwear, Beauty & Cosmetics, Accessories, Watches, Jewellery, Others), End Users (Fashion Stores, Fashion Designers), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028

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Market Analysis and Insights : Global AI in Fashion Market

AI in fashion market is expected to reach USD 3.14 billion by 2028 witnessing market growth at a rate of 38.85% in the forecast period of 2021 to 2028. Data Bridge Market Research report on AI in fashion market provides analysis and insights regarding the factor such as rising growth of retail sector which help in the adoption of artificial intelligence.

Increasing demand for personalised experience, growing need of inventory management tools, rising trend and influence of social media, rising demand due to increasing benefits such as advanced material procurement, automation in operations, product discovery and others which will help in accelerating the growth of the AI in fashion market in the forecast period of 2021-2028. On the other hand, analysis of changing customer behaviour and future trends will further create various opportunities that will lead to the growth of the AI in fashion market in the above mentioned forecast period.

Lack of awareness along with integration with legacy system is acting as market restraints for AI in fashion in the above mentioned forecasted period.

This AI in fashion market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on AI in fashion market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global AI in Fashion Market Scope and Market Size

AI in fashion market is segmented on the basis of component, deployment mode, application, category and end user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

  • AI in fashion market on the basis of component has been segmented as solutions, and services. Solution has been further segmented into software tools, and platforms. Services have been bifurcated into training and consulting, system integration and testing, and support and maintenance.
  • Based on category, AI in fashion market has been segmented into apparel, footwear, beauty & cosmetics, accessories, watches, jewellery, and others. Others have been further segmented into eyewear, home décor.
  • On the basis of deployment mode, AI in fashion market has been segmented into cloud and on-premise.
  • On the basis of application, AI in fashion market has been segmented into product recommendation, product search & discovery, creative designing & trend forecasting, supply chain management & demand planning, customer relationship management, virtual assistant, and others. Others have been further segmented into fraud detection, fabric waste reduction, and price optimization.
  • AI in fashion market has also been segmented on the basis of end user into fashion stores, and fashion designers.

AI in Fashion Market Country Level Analysis

AI in fashion market is analysed and market size, volume information is provided by country, component, deployment mode, application, category and end user as referenced above.

The countries covered in the AI in fashion market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America will dominate the AI in fashion market due to the adoption of advanced technologies while Asia-Pacific will expect to grow in the forecast period of 2021-2028 due to adoption of social media along with rising initiatives from the government for the development of artificial intelligence.

The country section of the AI in fashion market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and AI in Fashion Market Share Analysis

AI in fashion market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to AI in fashion market.

The major players covered in the AI in fashion market report are Microsoft, IBM Corporation, Google, Amazon.com, Inc., SAP SE, Adobe, Oracle, Catchoom Technologies, S.L, Huawei Technologies Co., Ltd., Heuritech, WIDE EYES TECHNOLOGIES, FindMine, Inc., Intelistyle Ltd, Lily AI, Syte, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.


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