Global AI in Fashion Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global AI in Fashion Market 2023 by Company, Regions, Type and Application, Forecast to 2029

According to our (Global Info Research) latest study, the global AI in Fashion market size was valued at USD 844.8 million in 2022 and is forecast to a readjusted size of USD 4257.4 million by 2029 with a CAGR of 26.0% during review period.

From design to marketing and sales, AI is affecting everything and offering businesses new opportunities to streamline their operations and reach new heights.

AI algorithms can analyse large amounts of data from social media, fashion blogs, and consumer buying habits to identify emerging trends and predict what styles and colours will be popular in the coming seasons, allowing designers and retailers to stay ahead of the curve.

Global key players of AI in fashion include Microsoft, Google, IBM, Amazon, Oracle, etc. The top five players hold a share over 50%.

North America is the largest market, has a share about 41%, followed by Europe, and Asia-Pacific, with share 34% and 19%, separately.

In terms of product type, apparel is the largest segment, occupied for a share of 61%, and in terms of application, fashion design and creation has a share about 58 percent.

The Global Info Research report includes an overview of the development of the AI in Fashion industry chain, the market status of Fashion Design and Creation (Apparel, Footwear), Virtual Try-On and Fitting (Apparel, Footwear), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in Fashion.

Regionally, the report analyzes the AI in Fashion markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in Fashion market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the AI in Fashion market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in Fashion industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Apparel, Footwear).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in Fashion market.

Regional Analysis: The report involves examining the AI in Fashion market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in Fashion market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to AI in Fashion:

Company Analysis: Report covers individual AI in Fashion players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in Fashion This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Fashion Design and Creation, Virtual Try-On and Fitting).

Technology Analysis: Report covers specific technologies relevant to AI in Fashion. It assesses the current state, advancements, and potential future developments in AI in Fashion areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in Fashion market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

AI in Fashion market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
Apparel
Footwear
Beauty and Cosmetics
Jewelry and Watches
Others

Market segment by Application
Fashion Design and Creation
Virtual Try-On and Fitting
Fashion Trend Forecasting
Others

Market segment by players, this report covers
Microsoft
Google
IBM
Amazon
Oracle
Adobe
SAP
Zhiyi Tech
Syte
Vue.ai
Stylumia
Infimind
Heuritech
Designovel
Lily AI
Wide Eyes

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe AI in Fashion product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of AI in Fashion, with revenue, gross margin and global market share of AI in Fashion from 2018 to 2023.

Chapter 3, the AI in Fashion competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI in Fashion market forecast, by regions, type and application, with consumption value, from 2024 to 2029.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Fashion.

Chapter 13, to describe AI in Fashion research findings and conclusion.