PUBLISHER: QYResearch | PRODUCT CODE: 1872289
PUBLISHER: QYResearch | PRODUCT CODE: 1872289
The global market for AI in Fashion was estimated to be worth US$ 1325 million in 2024 and is forecast to a readjusted size of US$ 6042 million by 2031 with a CAGR of 24.2% during the forecast period 2025-2031.
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.
The application of AI in the fashion industry is primarily driven by rising consumer demand for personalized experiences, the sustainability pressures posed by fast fashion, and the accelerated digital transformation. Brands urgently need to leverage AI to improve operational efficiency, accurately predict trends, optimize inventory management, and offer differentiated services amidst fierce competition. AI-enabled intelligent design, demand forecasting, virtual try-ons, and personalized recommendations have become key tools for increasing user engagement and conversion rates. In the future, as generative AI, computer vision, and large-scale modeling technologies mature, AI will be more deeply integrated into creative design, supply chain collaboration, and metaverse retail scenarios, driving the fashion industry towards intelligent, personalized, and sustainable development.
This report aims to provide a comprehensive presentation of the global market for AI in Fashion, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI in Fashion by region & country, by Type, and by Application.
The AI in Fashion market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. 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 AI in Fashion.
Market Segmentation
By Company
Segment by Type
Segment by Application
By Region
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI in Fashion company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of AI in Fashion in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI in Fashion in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.