Report overview
Artificial intelligence in fashion retail establishes a customer-centric business understanding and processes for fashion sales (such as seasonal collection and fast fashion, trend finding, demand forecasting, store clustering, supplier network management (quality, samples, lead times...), store layout definition, etc.)
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence In Fashion Retail, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence In Fashion Retail. This report contains market size and forecasts of Artificial Intelligence In Fashion Retail in global, including the following market information:
Global Artificial Intelligence In Fashion Retail Market Revenue, 2018-2023, 2024-2032, ($ millions)
Global top five companies in 2022 (%)
The global Artificial Intelligence In Fashion Retail market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Predictive Sales Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence In Fashion Retail include ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, STYLUMIA, Nike, Walmart and Goody Box, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Artificial Intelligence In Fashion Retail companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence In Fashion Retail Market, by Type, 2018-2023, 2024-2032 ($ millions)
Global Artificial Intelligence In Fashion Retail Market Segment Percentages, by Type, 2022 (%)
Predictive Sales
Show Ads
Market Forecast
In-Store Visual Monitoring
Marketing Positioning
Other
Global Artificial Intelligence In Fashion Retail Market, by Application, 2018-2023, 2024-2032 ($ millions)
Global Artificial Intelligence In Fashion Retail Market Segment Percentages, by Application, 2022 (%)
Online
Offline
Global Artificial Intelligence In Fashion Retail Market, By Region and Country, 2018-2023, 2024-2032 ($ Millions)
Global Artificial Intelligence In Fashion Retail Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence In Fashion Retail revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Artificial Intelligence In Fashion Retail revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
ALIBABA
STITCH FIX
Snap
TRUEFIT
FINERY
STYLUMIA
Nike
Walmart
Goody Box
Adidas
Burberry
Levi?s
HOOK
LVMH
GRABIT
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence In Fashion Retail, market overview.
Chapter 2: Global Artificial Intelligence In Fashion Retail market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence In Fashion Retail company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Artificial Intelligence In Fashion Retail in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
