The global artificial intelligence in fashion retail market is expected to grow from USD 1.5 billion in 2018 to USD 3.2 billion by 2030, at a CAGR of 16.6% during the forecast period. The major factors driving the growth of this market are increasing adoption of AI-based solutions for various applications such as predictive sales, show ads, market forecast, IStore visual monitoring and marketing positioning; and growing demand for AI-based solutions among retailers due to their ability to provide personalized shopping experience and increase customer engagement with retailers’ products and services. The global artificial intelligence in fashion retail market is segmented on the basis of type into predictive sales, show ads, market forecast, IStore visual monitoring and marketing positioning; application into online and offline; region into North America (NA), Latin America (LA), Europe (EU), Asia Pacific (APAC) and Middle East & Africa (MEA); end user into large enterprises/corporates/retailers/brands/manufacturers; verticals such as apparel & footwear industry; food & grocery industry; consumer electronics industry etc; country into US, Canada, Mexico etc; company type including startups or small businesses with less than 10 employees or large enterprises with more than 1000 employees).
Some Of The Growth Factors Of This Market:
- The fashion industry has been undergoing a digital transformation for the past few years, and this trend will continue to grow in 2018 as more retailers are investing in AI technologies to improve their customer experience and increase sales.
- AI technologies can help retailers better understand their customers by analyzing data such as purchase history, browsing behavior, social media activity, etc, which will help them provide personalized recommendations that are tailored to each customer's needs and preferences.
- Retailers are also using AI technologies for inventory management purposes by predicting demand based on historical data.
- Retailers can use AI technologies for marketing purposes by analyzing customer data such as purchase history or browsing behavior.
Industry Growth Insights published a new data on “Artificial Intelligence In Fashion Retail Market”. The research report is titled “Artificial Intelligence In Fashion Retail Market research by Types (Predictive Sales, Show Ads, Market Forecast, In-Store Visual Monitoring, Marketing Positioning, Other), By Applications (Online, Offline), By Players/Companies ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, STYLUMIA, Nike, Walmart, Goody Box, Adidas, Burberry, Levi’s, HOOK, LVMH, GRABIT”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence In Fashion Retail Market Research Report
By Type
Predictive Sales, Show Ads, Market Forecast, In-Store Visual Monitoring, Marketing Positioning, Other
By Application
Online, Offline
By Companies
ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, STYLUMIA, Nike, Walmart, Goody Box, Adidas, Burberry, Levi’s, HOOK, LVMH, GRABIT
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
250
Number of Tables & Figures
175
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence In Fashion Retail Market Report Segments:
The global Artificial Intelligence In Fashion Retail market is segmented on the basis of:
Types
Predictive Sales, Show Ads, Market Forecast, In-Store Visual Monitoring, Marketing Positioning, Other
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Online, Offline
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- ALIBABA
- STITCH FIX
- Snap
- TRUEFIT
- FINERY
- STYLUMIA
- Nike
- Walmart
- Goody Box
- Adidas
- Burberry
- Levi’s
- HOOK
- LVMH
- GRABIT
Highlights of The Artificial Intelligence In Fashion Retail Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Predictive Sales
- Show Ads
- Market Forecast
- In-Store Visual Monitoring
- Marketing Positioning
- Other
- By Application:
- Online
- Offline
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence In Fashion Retail Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence in fashion retail is the use of computer programs to help designers and retailers make better decisions about what clothes to produce, how to market them, and where to sell them. These programs can analyze large amounts of data about customer behavior in order to improve the design process and marketing strategies.
Some of the key players operating in the artificial intelligence in fashion retail market are ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, STYLUMIA, Nike, Walmart, Goody Box, Adidas, Burberry, Levi¢â‚¬â„¢s, HOOK, LVMH, GRABIT.
The artificial intelligence in fashion retail market is expected to register a CAGR of 16.6%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Artificial Intelligence In Fashion Retail Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Artificial Intelligence In Fashion Retail Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Artificial Intelligence In Fashion Retail Market - Supply Chain
4.5. Global Artificial Intelligence In Fashion Retail Market Forecast
4.5.1. Artificial Intelligence In Fashion Retail Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Artificial Intelligence In Fashion Retail Market Size (000 Units) and Y-o-Y Growth
4.5.3. Artificial Intelligence In Fashion Retail Market Absolute $ Opportunity
5. Global Artificial Intelligence In Fashion Retail Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
5.3.1. Predictive Sales
5.3.2. Show Ads
5.3.3. Market Forecast
5.3.4. In-Store Visual Monitoring
5.3.5. Marketing Positioning
5.3.6. Other
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Artificial Intelligence In Fashion Retail Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
6.3.1. Online
6.3.2. Offline
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Artificial Intelligence In Fashion Retail Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Artificial Intelligence In Fashion Retail Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Artificial Intelligence In Fashion Retail Demand Share Forecast, 2019-2026
9. North America Artificial Intelligence In Fashion Retail Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
9.4.1. Online
9.4.2. Offline
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
9.7.1. Predictive Sales
9.7.2. Show Ads
9.7.3. Market Forecast
9.7.4. In-Store Visual Monitoring
9.7.5. Marketing Positioning
9.7.6. Other
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Artificial Intelligence In Fashion Retail Demand Share Forecast, 2019-2026
10. Latin America Artificial Intelligence In Fashion Retail Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
10.4.1. Online
10.4.2. Offline
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
10.7.1. Predictive Sales
10.7.2. Show Ads
10.7.3. Market Forecast
10.7.4. In-Store Visual Monitoring
10.7.5. Marketing Positioning
10.7.6. Other
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Artificial Intelligence In Fashion Retail Demand Share Forecast, 2019-2026
11. Europe Artificial Intelligence In Fashion Retail Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
11.4.1. Online
11.4.2. Offline
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
11.7.1. Predictive Sales
11.7.2. Show Ads
11.7.3. Market Forecast
11.7.4. In-Store Visual Monitoring
11.7.5. Marketing Positioning
11.7.6. Other
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Artificial Intelligence In Fashion Retail Demand Share, 2019-2026
12. Asia Pacific Artificial Intelligence In Fashion Retail Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
12.4.1. Online
12.4.2. Offline
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
12.7.1. Predictive Sales
12.7.2. Show Ads
12.7.3. Market Forecast
12.7.4. In-Store Visual Monitoring
12.7.5. Marketing Positioning
12.7.6. Other
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Artificial Intelligence In Fashion Retail Demand Share, 2019-2026
13. Middle East & Africa Artificial Intelligence In Fashion Retail Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Application
13.4.1. Online
13.4.2. Offline
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Artificial Intelligence In Fashion Retail Market Size and Volume Forecast by Type
13.7.1. Predictive Sales
13.7.2. Show Ads
13.7.3. Market Forecast
13.7.4. In-Store Visual Monitoring
13.7.5. Marketing Positioning
13.7.6. Other
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Artificial Intelligence In Fashion Retail Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Artificial Intelligence In Fashion Retail Market: Market Share Analysis
14.2. Artificial Intelligence In Fashion Retail Distributors and Customers
14.3. Artificial Intelligence In Fashion Retail Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. ALIBABA
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. STITCH FIX
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Snap
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. TRUEFIT
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. FINERY
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. STYLUMIA
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Nike
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Walmart
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Goody Box
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Adidas
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Burberry
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Levis
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. HOOK
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. LVMH
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. GRABIT
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook