The AI in fashion market, by component, covers solution and services.Identifying future fashion trends in advance with customer’s buying behaviour analysis and Growing fast fashion retail to boost the adoption of artificial intelligence in the fashion industry marketing to create many opportunities for vendors of AI in fashion solutions.
Market Analysis and Insights: Global AI in Fashion Market
In 2019, the global AI in Fashion market size was US$ xx million and it is expected to reach US$ xx million by the end of 2026, with a CAGR of xx% during 2021-2026.
Global AI in Fashion Scope and Market Size
AI in Fashion market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global AI in Fashion market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Segment by Type, the AI in Fashion market is segmented into Solutions(Software Tools,Platform), Services(Consulting,System Integration,Support and Maintenance), etc.
Segment by Application, the AI in Fashion market is segmented into Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches, Others (eyewear, home decor), etc.
Regional and Country-level Analysis
The AI in Fashion market is analysed and market size information is provided by regions (countries).
The key regions covered in the AI in Fashion market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.

Competitive Landscape

and AI in Fashion Market Share Analysis
AI in Fashion market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in AI in Fashion business, the date to enter into the AI in Fashion market, AI in Fashion product introduction, recent developments, etc.
The major vendors include Catchoom, Microsoft, Google, AWS, SAP, Huawei, Wide Eyes, FINDMINE, Vue.ai, mode.ai, Pttrns.ai, Lily AI, etc.

This report focuses on the global AI in Fashion status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI in Fashion development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study

Catchoom
Microsoft
Google
AWS
SAP
Huawei
Wide Eyes
FINDMINE
Vue.ai
mode.ai
Pttrns.ai
Lily AI

Market segment by Type, the product can be split into

Solutions(Software Tools,Platform)
Services(Consulting,System Integration,Support and Maintenance)

Market segment by Application, split into

Apparel
Accessories
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others (eyewear, home decor)

Market segment by Regions/Countries, this report covers

North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:

To analyze global AI in Fashion status, future forecast, growth opportunity, key market and key players.
To present the AI in Fashion development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of AI in Fashion are as follows:
History Year: 2015-2019

Base Year:

2019

Estimated Year:

2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.