Global AI in Fashion Competitive Landscape Professional Research Report 2024

Global AI in Fashion Competitive Landscape Professional Research Report 2024

Research Summary

AI in fashion refers to the application of artificial intelligence technologies in various aspects of the fashion industry, including design, manufacturing, marketing, and retail. AI algorithms and machine learning techniques are being used to analyze vast amounts of data, including consumer preferences, social media trends, and sales data, to inform design decisions, predict fashion trends, and optimize inventory management. In the design process, AI tools can assist designers in generating new concepts, creating virtual prototypes, and even autonomously designing garments. In manufacturing, AI-powered systems are improving efficiency and quality control by optimizing production processes and detecting defects. Additionally, AI is revolutionizing the retail experience through personalized recommendations, virtual try-on solutions, and chatbots for customer service. Overall, AI is transforming the fashion industry, making it more data-driven, efficient, and responsive to consumer needs.

According to DIResearch's in-depth investigation and research, the global AI in Fashion market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.

The major global manufacturers of AI in Fashion include 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) etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.

This report studies the market size, price trends and future development prospects of AI in Fashion. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global AI in Fashion market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the AI in Fashion market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI in Fashion industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of AI in Fashion Include:

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)

AI in Fashion Product Segment Include:

Apparel

Accessories

Footwear

Beauty and Cosmetics

Jewelry and Watches

Others

AI in Fashion Product Application Include:

Fashion Designers

Fashion Stores (Online and Offline Brand Stores)

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global AI in Fashion Industry PESTEL Analysis

Chapter 3: Global AI in Fashion Industry Porter’s Five Forces Analysis

Chapter 4: Global AI in Fashion Major Regional Market Size and Forecast Analysis

Chapter 5: Global AI in Fashion Market Size and Forecast by Type and Application Analysis

Chapter 6: North America AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa AI in Fashion Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global AI in Fashion Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources