AI in Fashion Market Research Report by Manufacturers, Region, Type and Application
AI in Fashion Market Growth:
Washington, D.C., United States: Straits Research's latest report on, AI in Fashion Market - Global Industry Overview and Forecast 2022-2030, highlights potential, risk factor analyses, and enhanced with strategic and tactical decision-making assistance. The growth and regulatory factors impacting information consumption, the availability of highly dependable items in the market, and the improvement in operating efficiency of AI in Fashion industry players. According to straits research the AI in Fashion Market will grow at a CAGR of 21% during the forecast period.AI in Fashion Market Scope report covers market trends and development, drivers, capacities, technologies, and the changing dynamics of the AI in Fashion Market.
Competitive Landscape
Some of the prominent players operating in the AI in Fashion market are
Microsoft Corporation (the U.S.), IBM (the U.S.), Google (the U.S.), AWS (the U.S.),SAP(Germany), Facebook (the U.S.), Adobe (the U.S.), Oracle (the U.S.), Catchoom (France), Huawei (China), Vue.AI (the U.S.), Heuritech (Paris), Wide Eyes (Spain), Findmine (the U.S.), Intelistyle (the U.K.), Lily AI (the U.S.), Pttrns.AI (Netherlands), Syte (Israel), Mode.AI (the U.S.), and Stitch Fix (the U.S.)
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Studies explore the effects of COVID-19 on the upstream, midstream, and downstream sectors of the industry. In addition, this analysis provides extensive market estimations by putting an emphasis on data covering numerous factors that encompass market dynamics such as market drivers, market barriers, market opportunities, market risks, and industry news and trends.
This research also provides a dashboard view of prominent Organization, highlighting their effective marketing tactics, market share and most recent advances in both historical and current settings.
Global AI in Fashion Market: Segmentation
As a result of the AI in Fashion market segmentation, the market is divided into sub-segments based on product type, application, as well as regional and country-level forecasts.
By Components
- Solution
- Software Tools
- Platforms
- Services
- Training and Consulting
- System Integration and Testing
- Support and Maintenance
By Applications
- 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)
By Deployment Mode
- Cloud
- On-premises
By Category
- Apparel
- Accessories
- Footwear
- Beauty and Cosmetics
- Jewelry and Watches
- Others (eyewear, home decor)
By End-User
- Fashion Designers
- Fashion Stores
By Region
North America
- The U.S.
- Canada
- Mexico
Europe
- The U.K.
- Italy
- France
- Spain
- Germany
- Rest of Europe
The Middle East and Africa (MEA)
- Saudi Arabia
- Egypt
- South Africa
- Rest of MEA
Asia-Pacific
- India
- China
- Japan
- Australia
- South Korea
- Rest of Asia-Pacific
Central and South America and the Caribbean
- Colombia
- Brazil
- Chile
- Peru
- Argentina
- Rest of Central and South America and the Caribbean
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The following are the report's key features:
- It gives useful information on the Global AI in Fashion Market.
- Information for the years is provided.
- Market-related important factors are highlighted.
- The latest technological innovations, government restrictions, and developments are presented.
- This paper investigates advertising and marketing techniques, market trends, and analysis.
- Growth projections and analyses by forecast.
- The statistical analysis of the market's leading competitors is emphasised.
- AI in Fashion Market summary based on extensive study.
Other aspects of the report include:
- Provides a complete review of important tactics in numerous firms, with an emphasis on corporate structure, R&D processes, localization strategies, manufacturing capabilities, sales, and performance.
- Provides essential product portfolio information, including product planning, development, and positioning.
- Analyzes the role of significant market participants, as well as their collaborations, mergers, and acquisitions.
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