The latest research study released by Market IntelliX evaluates market size and forecasts of AI in Fashion in Global, including the following market information:
Global AI in Fashion Market Revenue, 2017-2022, 2023-2028, ($ millions)
Global top five companies in 2021 (%)
The global AI in Fashion market was valued at 391.7 million in 2021 and is projected to reach US$ 876.4 million by 2028, at a CAGR of 12.2% during the forecast period.
The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.
Apparel Segment to Reach $ Million by 2028, with a % CAGR in next six years.
The global key manufacturers of AI in Fashion include Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US) and Vue.ai (US), etc. In 2021, the global top five players have a share approximately % in terms of revenue.
MI has surveyed the AI in Fashion 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.
Market Segmentations:
Global AI in Fashion Market, by Type, 2017-2022, 2023-2028 ($ millions)
Global AI in Fashion Market Segment Percentages, by Type, 2021 (%)
Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others
Global AI in Fashion Market, by Application, 2017-2022, 2023-2028 ($ millions)
Global AI in Fashion Market Segment Percentages, by Application, 2021 (%)
Fashion Designers
Fashion Stores (Online and Offline Brand Stores)
Global AI in Fashion Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)
Global AI in Fashion Market Segment Percentages, By Region and Country, 2021 (%)
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 AI in Fashion revenues in global market, 2017-2022 (estimated), ($ millions)
Key companies AI in Fashion revenues share in global market, 2021 (%)
The report presents profiles of competitors in the market, Some of the prominent key players covered:
Microsoft (US)
IBM (US)
Google (US)
AWS (US)
SAP (Germany)
Facebook (US)
Adobe (US)
Oracle (US)
Vue.ai (US)
Lily AI (US)
Syte (Israel)
mode.ai (US)
Stitch Fix (US)
Heuritech (France)
Wide Eyes (Spain)
FINDMINE (US)
Catchoom (Spain)
Huawei (China)
Intelistyle (England)
Pttrns.ai (Netherlands)
Key Takeaways from this Report
Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level – for product types, end use applications and by different industry verticals.
Understand the different dynamics influencing the market – key driving factors, challenges and hidden opportunities.
Get in-depth insights on your competitor performance – market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.
Analyze the sales and distribution channels across key geographies to improve top-line revenues.
Understand the industry supply chain with a deep-dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes.
Get a quick outlook on the market entropy – M&A’s, deals, partnerships, product launches of all key players for the past 4 years.
Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the market.
1 Introduction to Research & Analysis Reports
1.1 AI in Fashion Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global AI in Fashion Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global AI in Fashion Overall Market Size
2.1 Global AI in Fashion Market Size: 2021 VS 2028
2.2 Global AI in Fashion Market Size, Prospects & Forecasts: 2017-2028
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top AI in Fashion Players in Global Market
3.2 Top Global AI in Fashion Companies Ranked by Revenue
3.3 Global AI in Fashion Revenue by Companies
3.4 Top 3 and Top 5 AI in Fashion Companies in Global Market, by Revenue in 2021
3.5 Global Companies AI in Fashion Product Type
3.6 Tier 1, Tier 2 and Tier 3 AI in Fashion Players in Global Market
3.6.1 List of Global Tier 1 AI in Fashion Companies
3.6.2 List of Global Tier 2 and Tier 3 AI in Fashion Companies
4 Market Sights by Product
4.1 Overview
4.1.1 by Type - Global AI in Fashion Market Size Markets, 2021 & 2028
4.1.2 Apparel
4.1.3 Accessories
4.1.4 Footwear
4.1.5 Beauty and Cosmetics
4.1.6 Jewelry and Watches
4.1.7 Others
4.2 By Type - Global AI in Fashion Revenue & Forecasts
4.2.1 By Type - Global AI in Fashion Revenue, 2017-2022
4.2.2 By Type - Global AI in Fashion Revenue, 2023-2028
4.2.3 By Type - Global AI in Fashion Revenue Market Share, 2017-2028
5 Sights by Application
5.1 Overview
5.1.1 By Application - Global AI in Fashion Market Size, 2021 & 2028
5.1.2 Fashion Designers
5.1.3 Fashion Stores (Online and Offline Brand Stores)
5.2 By Application - Global AI in Fashion Revenue & Forecasts
5.2.1 By Application - Global AI in Fashion Revenue, 2017-2022
5.2.2 By Application - Global AI in Fashion Revenue, 2023-2028
5.2.3 By Application - Global AI in Fashion Revenue Market Share, 2017-2028
6 Sights by Region
6.1 By Region - Global AI in Fashion Market Size, 2021 & 2028
6.2 By Region - Global AI in Fashion Revenue & Forecasts
6.2.1 By Region - Global AI in Fashion Revenue, 2017-2022
6.2.2 By Region - Global AI in Fashion Revenue, 2023-2028
6.2.3 By Region - Global AI in Fashion Revenue Market Share, 2017-2028
6.3 North America
6.3.1 By Country - North America AI in Fashion Revenue, 2017-2028
6.3.2 US AI in Fashion Market Size, 2017-2028
6.3.3 Canada AI in Fashion Market Size, 2017-2028
6.3.4 Mexico AI in Fashion Market Size, 2017-2028
6.4 Europe
6.4.1 By Country - Europe AI in Fashion Revenue, 2017-2028
6.4.2 Germany AI in Fashion Market Size, 2017-2028
6.4.3 France AI in Fashion Market Size, 2017-2028
6.4.4 U.K. AI in Fashion Market Size, 2017-2028
6.4.5 Italy AI in Fashion Market Size, 2017-2028
6.4.6 Russia AI in Fashion Market Size, 2017-2028
6.4.7 Nordic Countries AI in Fashion Market Size, 2017-2028
6.4.8 Benelux AI in Fashion Market Size, 2017-2028
6.5 Asia
6.5.1 By Region - Asia AI in Fashion Revenue, 2017-2028
6.5.2 China AI in Fashion Market Size, 2017-2028
6.5.3 Japan AI in Fashion Market Size, 2017-2028
6.5.4 South Korea AI in Fashion Market Size, 2017-2028
6.5.5 Southeast Asia AI in Fashion Market Size, 2017-2028
6.5.6 India AI in Fashion Market Size, 2017-2028
6.6 South America
6.6.1 By Country - South America AI in Fashion Revenue, 2017-2028
6.6.2 Brazil AI in Fashion Market Size, 2017-2028
6.6.3 Argentina AI in Fashion Market Size, 2017-2028
6.7 Middle East & Africa
6.7.1 By Country - Middle East & Africa AI in Fashion Revenue, 2017-2028
6.7.2 Turkey AI in Fashion Market Size, 2017-2028
6.7.3 Israel AI in Fashion Market Size, 2017-2028
6.7.4 Saudi Arabia AI in Fashion Market Size, 2017-2028
6.7.5 UAE AI in Fashion Market Size, 2017-2028
7 Players Profiles
7.1 Microsoft (US)
7.1.1 Microsoft (US) Corporate Summary
7.1.2 Microsoft (US) Business Overview
7.1.3 Microsoft (US) AI in Fashion Major Product Offerings
7.1.4 Microsoft (US) AI in Fashion Revenue in Global Market (2017-2022)
7.1.5 Microsoft (US) Key News
7.2 IBM (US)
7.2.1 IBM (US) Corporate Summary
7.2.2 IBM (US) Business Overview
7.2.3 IBM (US) AI in Fashion Major Product Offerings
7.2.4 IBM (US) AI in Fashion Revenue in Global Market (2017-2022)
7.2.5 IBM (US) Key News
7.3 Google (US)
7.3.1 Google (US) Corporate Summary
7.3.2 Google (US) Business Overview
7.3.3 Google (US) AI in Fashion Major Product Offerings
7.3.4 Google (US) AI in Fashion Revenue in Global Market (2017-2022)
7.3.5 Google (US) Key News
7.4 AWS (US)
7.4.1 AWS (US) Corporate Summary
7.4.2 AWS (US) Business Overview
7.4.3 AWS (US) AI in Fashion Major Product Offerings
7.4.4 AWS (US) AI in Fashion Revenue in Global Market (2017-2022)
7.4.5 AWS (US) Key News
7.5 SAP (Germany)
7.5.1 SAP (Germany) Corporate Summary
7.5.2 SAP (Germany) Business Overview
7.5.3 SAP (Germany) AI in Fashion Major Product Offerings
7.5.4 SAP (Germany) AI in Fashion Revenue in Global Market (2017-2022)
7.5.5 SAP (Germany) Key News
7.6 Facebook (US)
7.6.1 Facebook (US) Corporate Summary
7.6.2 Facebook (US) Business Overview
7.6.3 Facebook (US) AI in Fashion Major Product Offerings
7.6.4 Facebook (US) AI in Fashion Revenue in Global Market (2017-2022)
7.6.5 Facebook (US) Key News
7.7 Adobe (US)
7.7.1 Adobe (US) Corporate Summary
7.7.2 Adobe (US) Business Overview
7.7.3 Adobe (US) AI in Fashion Major Product Offerings
7.7.4 Adobe (US) AI in Fashion Revenue in Global Market (2017-2022)
7.7.5 Adobe (US) Key News
7.8 Oracle (US)
7.8.1 Oracle (US) Corporate Summary
7.8.2 Oracle (US) Business Overview
7.8.3 Oracle (US) AI in Fashion Major Product Offerings
7.8.4 Oracle (US) AI in Fashion Revenue in Global Market (2017-2022)
7.8.5 Oracle (US) Key News
7.9 Vue.ai (US)
7.9.1 Vue.ai (US) Corporate Summary
7.9.2 Vue.ai (US) Business Overview
7.9.3 Vue.ai (US) AI in Fashion Major Product Offerings
7.9.4 Vue.ai (US) AI in Fashion Revenue in Global Market (2017-2022)
7.9.5 Vue.ai (US) Key News
7.10 Lily AI (US)
7.10.1 Lily AI (US) Corporate Summary
7.10.2 Lily AI (US) Business Overview
7.10.3 Lily AI (US) AI in Fashion Major Product Offerings
7.10.4 Lily AI (US) AI in Fashion Revenue in Global Market (2017-2022)
7.10.5 Lily AI (US) Key News
7.11 Syte (Israel)
7.11.1 Syte (Israel) Corporate Summary
7.11.2 Syte (Israel) Business Overview
7.11.3 Syte (Israel) AI in Fashion Major Product Offerings
7.11.4 Syte (Israel) AI in Fashion Revenue in Global Market (2017-2022)
7.11.5 Syte (Israel) Key News
7.12 mode.ai (US)
7.12.1 mode.ai (US) Corporate Summary
7.12.2 mode.ai (US) Business Overview
7.12.3 mode.ai (US) AI in Fashion Major Product Offerings
7.12.4 mode.ai (US) AI in Fashion Revenue in Global Market (2017-2022)
7.12.5 mode.ai (US) Key News
7.13 Stitch Fix (US)
7.13.1 Stitch Fix (US) Corporate Summary
7.13.2 Stitch Fix (US) Business Overview
7.13.3 Stitch Fix (US) AI in Fashion Major Product Offerings
7.13.4 Stitch Fix (US) AI in Fashion Revenue in Global Market (2017-2022)
7.13.5 Stitch Fix (US) Key News
7.14 Heuritech (France)
7.14.1 Heuritech (France) Corporate Summary
7.14.2 Heuritech (France) Business Overview
7.14.3 Heuritech (France) AI in Fashion Major Product Offerings
7.14.4 Heuritech (France) AI in Fashion Revenue in Global Market (2017-2022)
7.14.5 Heuritech (France) Key News
7.15 Wide Eyes (Spain)
7.15.1 Wide Eyes (Spain) Corporate Summary
7.15.2 Wide Eyes (Spain) Business Overview
7.15.3 Wide Eyes (Spain) AI in Fashion Major Product Offerings
7.15.4 Wide Eyes (Spain) AI in Fashion Revenue in Global Market (2017-2022)
7.15.5 Wide Eyes (Spain) Key News
7.16 FINDMINE (US)
7.16.1 FINDMINE (US) Corporate Summary
7.16.2 FINDMINE (US) Business Overview
7.16.3 FINDMINE (US) AI in Fashion Major Product Offerings
7.16.4 FINDMINE (US) AI in Fashion Revenue in Global Market (2017-2022)
7.16.5 FINDMINE (US) Key News
7.17 Catchoom (Spain)
7.17.1 Catchoom (Spain) Corporate Summary
7.17.2 Catchoom (Spain) Business Overview
7.17.3 Catchoom (Spain) AI in Fashion Major Product Offerings
7.17.4 Catchoom (Spain) AI in Fashion Revenue in Global Market (2017-2022)
7.17.5 Catchoom (Spain) Key News
7.18 Huawei (China)
7.18.1 Huawei (China) Corporate Summary
7.18.2 Huawei (China) Business Overview
7.18.3 Huawei (China) AI in Fashion Major Product Offerings
7.18.4 Huawei (China) AI in Fashion Revenue in Global Market (2017-2022)
7.18.5 Huawei (China) Key News
7.19 Intelistyle (England)
7.19.1 Intelistyle (England) Corporate Summary
7.19.2 Intelistyle (England) Business Overview
7.19.3 Intelistyle (England) AI in Fashion Major Product Offerings
7.19.4 Intelistyle (England) AI in Fashion Revenue in Global Market (2017-2022)
7.19.5 Intelistyle (England) Key News
7.20 Pttrns.ai (Netherlands)
7.20.1 Pttrns.ai (Netherlands) Corporate Summary
7.20.2 Pttrns.ai (Netherlands) Business Overview
7.20.3 Pttrns.ai (Netherlands) AI in Fashion Major Product Offerings
7.20.4 Pttrns.ai (Netherlands) AI in Fashion Revenue in Global Market (2017-2022)
7.20.5 Pttrns.ai (Netherlands) Key News
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
Historical Data (2015-2019) |
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Influencing Factors |
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Market Forecast (2021-2026) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
Market Size |
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Market Position of Top Company |
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Qualitative Analysis |
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
Primary Sources | Parameters | Key Data |
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Total Market |
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