AI in Fashion Market 2022: Industry Size, Emerging Trends, Growth Insights, Opportunities, and Forecast By 2028
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Global AI in Fashion Market 2020 By Component [Solutions, Services, Support and Maintenance and others],By Deployment Mode [Cloud and On-Premises], By Category[Apparel ,Footwear, Beauty and Cosmetics, Accessories, Watches and Jewellery], By Application[Product Recommendation, Product Search and Discovery, Creative Designing and Trend Forecasting, Supply Chain Management and Demand Planning, Customer Relationship Management and Virtual Assistant], By End Users[Fashion Stores and Fashion Designers]: Global Forecast to 2026 and COVID-19 Impact Outlook
Global AI in Fashion Market is valued at 228.1 USD Million in 2019 and expected to reach USD 2531 Million by 2026 with the CAGR of 40.8% over the forecast period.
Scope of the report
This report analyses the global market for AI in Fashion. The report will enable the user to understand and gain insights into the current and forecast market situation. The market is comprehensively analyzed by geography to give complete information on the global scenario. The qualitative and quantitative data provided in this study can help user understand which market segments, regions are expected to grow at higher rates, factors affecting the market and key opportunity areas. The report also includes competitive landscape of key players in the industry along with emerging trends in the market.
Key Players
Microsoft,IBM,Google,Facebook,Adobe,AWS,AP,Oracle,Huawei,Vue.ai,Catchoom,Heuritech,INDMINE,Intelistyle,Wide Eyes,Lily AI,Pttrns.ai and others
Above mentioned companies were scrutinized to assess competitive landscape of global AI in Fashion market. Report provides company profiles of each player. Each profile include company product portfolio,business overview, company governance, company financials, business strategies, manufacturing locations and production facilities, company sale, recent developments and strategic collaborations & partnerships, new product launch, company segments, application diversification and company strength and weakness analysis.
Review period: (2016-2026)
Historic Period: 2016 to 2019
Forecast Period: 2020 to 2026
Base Year: 2019
Unit: USD Million
This AI in Fashion market report provides insights on new trade regulations, import export analysis, industry value chain analysis, market size, consumption, production analysis, capacity analysis, regional and segment market share, product launches, product pipeline analysis, impact of Covid-19 on supply chain, key regions, untapped markets, patent analysis, product approvals, continuous innovations and developments in the market.
Regions
• North America: U.S., Canada and Rest of North America
• Europe: UK, France, Germany, Italy, Spain and Rest of Europe
• Asia Pacific: China, Japan, India, Australia, Southeast Asia and Rest of Asia Pacific
• Latin America: Brazil, Mexico, Argentina and Rest of Latin America
• Middle East and Africa: Gulf Countries, Israel, Africa and Rest of Middle East and Africa
Market Segmentation
• Component
o Solutions
o Services
o Support and Maintenance
• Deployment Mode
o Cloud
o On-Premises
• Category
o Apparel
o Footwear
o Beauty and Cosmetics
o Accessories
o Watches and Jewellery
• Application
o Product Recommendation
o Product Search and Discovery
o Creative Designing and Trend Forecasting
o Supply Chain Management and Demand Planning
o Customer Relationship Management
o Virtual Assistant
• End Users
o Fashion Stores
o Fashion Designers
Report Coverage
• An overview of the global AI in Fashion market
• In depth analysis of market dynamics and major factors such as drivers, restraints, opportunities and trends influencing the global market
• Global AI in Fashion market revenue data historic and forecast analysis (2016 to 2026)
• Characterization and quantification of the market segments for AI in Fashion market
• Market share analysis of key market participants and their competitive landscape
Important Questions Answered by Global AI in Fashion Market Report
• What is the impact of COVID 19 epidemic on the global AI in Fashion market
• Which is mostly affected region, country
• Which is the current largest and fastest-growing region
• What is the market size and growth rate of the global AI in Fashion market
• What are current factors affecting the growth of market
• What are Key trends and opportunity areas
• Within AI in Fashion market, which segments are fastest growing & emerging strongly What are the drivers and restraints for each segment What are vendor competencies by segment
• What are the major strategies adopted by leading market companies
• What are company challenges and essential success factors by marketsegment
• How company offerings and supply chain capabilitiesare shifting to meetemerging market needs
1. Introduction
1.1. Report Description
1.2. Market Segmentation
1.3. Research Methodology
1.4. List of Abbreviations
2. Executive Summary
3. Market Overview
3.1. Market Definition
3.2. Market Scope
3.3. Market Drivers
3.4. Market Restraints
3.5. Market Opportunities and Trends
3.6. Porter’s five force analysis
3.7. SWOT Analysis
3.8. PEST Analysis
3.9. Patent Analysis
3.10. Impact of COVID 19 on Global AI in Fashion Market
4. AI in Fashion Market, By Component, Market Size and Forecast 2016 -2026 (USD Million)
4.1. Global AI in Fashion Market By Component, 2016 -2026 (USD Million)
4.1.1. Global AI in Fashion Market By Solutions
4.1.2. Global AI in Fashion Market By Services
4.1.3. Global AI in Fashion Market By Support and Maintenance
4.2. Global AI in Fashion Market By Component Share, 2016 -2026 (%)
5. AI in Fashion Market, By Category, Market Size and Forecast 2016 -2026 (USD Million)
5.1. Global AI in Fashion Market By Category, 2016 -2026 (USD Million)
5.1.1. Global AI in Fashion Market By Apparel
5.1.2. Global AI in Fashion Market By Footwear
5.1.3. Global AI in Fashion Market By Beauty and Cosmetics
5.1.4. Global AI in Fashion Market By Accessories
5.1.5. Global AI in Fashion Market By Watches and Jewellery
5.2. Global AI in Fashion Market By Category Share, 2016 -2026 (%)
6. AI in Fashion Market, By Deployment Mode, Market Size and Forecast 2016 -2026 (USD Million)
6.1. Global AI in Fashion Market By Deployment Mode, 2016 -2026 (USD Million)
6.1.1. Global AI in Fashion Market By Cloud
6.1.2. Global AI in Fashion Market By On-Premises
6.2. Global AI in Fashion Market By Deployment Mode Share, 2016 -2026 (%)
7. AI in Fashion Market, By Application, Market Size and Forecast 2016 -2026 (USD Million)
7.1. Global AI in Fashion Market By Application, 2016 -2026 (USD Million)
7.1.1. Global AI in Fashion Market By Product Recommendation
7.1.2. Global AI in Fashion Market By Product Search and Discovery
7.1.3. Global AI in Fashion Market By Creative Designing and Trend Forecasting
7.1.4. Global AI in Fashion Market By Supply Chain Management and Demand Planning
7.1.5. Global AI in Fashion Market By Customer Relationship Management
7.1.6. Global AI in Fashion Market By Virtual Assistant
7.2. Global AI in Fashion Market By Application Share, 2016 -2026 (%)
8. AI in Fashion Market, By Application, Market Size and Forecast 2016 -2026 (USD Million)
8.1. Global AI in Fashion Market By Application, 2016 -2026 (USD Million)
8.1.1. Global AI in Fashion Market By Fashion Stores
8.1.2. Global AI in Fashion Market By Fashion Designers
8.2. Global AI in Fashion Market By Application Share, 2016 -2026 (%)
9. AI in Fashion Market, By Region Market Size and Forecast 2016 -2026
9.1. NORTH AMERICA
9.1.1. Key Findings
9.1.2. Impact of COVID 19
9.1.3. Key market trends, growth factors and opportunities
9.1.4. North America AI in Fashion Market by Country 2016 -2026 (USD Million)
9.1.5. North America AI in Fashion Market By Component 2016 -2026 (USD Million)
9.1.6. North America AI in Fashion Market By Deployment Mode 2016 -2026 (USD Million)
9.1.7. North America AI in Fashion Market By Category 2016 -2026 (USD Million)
9.1.8. North America AI in Fashion Market By Application 2016 -2026 (USD Million)
9.2. EUROPE
9.2.1. Key Findings
9.2.2. Impact of COVID 19
9.2.3. Key market trends, growth factors and opportunities
9.2.4. Europe AI in Fashion Market by Country 2016 -2026 (USD Million)
9.2.5. Europe AI in Fashion Market By Component 2016 -2026 (USD Million)
9.2.6. Europe AI in Fashion Market By Deployment Mode 2016 -2026 (USD Million)
9.2.7. Europe AI in Fashion Market By Category 2016 -2026 (USD Million)
9.2.8. Europe AI in Fashion Market By Application 2016 -2026 (USD Million)
9.3. ASIA PACIFIC
9.3.1. Key Findings
9.3.2. Impact of COVID 19
9.3.3. Key market trends, growth factors and opportunities
9.3.4. Asia Pacific AI in Fashion Market by Country 2016 -2026 (USD Million)
9.3.5. Asia Pacific AI in Fashion Market By Component 2016 -2026 (USD Million)
9.3.6. Asia Pacific AI in Fashion Market By Deployment Mode 2016 -2026 (USD Million)
9.3.7. Asia Pacific AI in Fashion Market By Category 2016 -2026 (USD Million)
9.3.8. Asia Pacific AI in Fashion Market By Application 2016 -2026 (USD Million)
9.4. LATIN AMERICA
9.4.1. Key Findings
9.4.2. Impact of COVID 19
9.4.3. Key market trends, growth factors and opportunities
9.4.4. Latin America AI in Fashion Market by Country 2016 -2026 (USD Million)
9.4.5. Latin America AI in Fashion Market By Component 2016 -2026 (USD Million)
9.4.6. Latin America AI in Fashion Market By Deployment Mode 2016 -2026 (USD Million)
9.4.7. Latin America AI in Fashion Market By Category 2016 -2026 (USD Million)
9.4.8. Latin America AI in Fashion Market By Application 2016 -2026 (USD Million)
9.5. MIDDLE EAST AND AFRICA
9.5.1. Key Findings
9.5.2. Impact of COVID 19
9.5.3. Key market trends, growth factors and opportunities
9.5.4. Middle East and Africa AI in Fashion Market by Country 2016 -2026 (USD Million)
9.5.5. Middle East and Africa AI in Fashion Market By Component 2016 -2026 (USD Million)
9.5.6. Middle East and Africa AI in Fashion Market By Deployment Mode 2016 -2026 (USD Million)
9.5.7. Middle East and Africa AI in Fashion Market By Category 2016 -2026 (USD Million)
9.5.8. Middle East and Africa AI in Fashion Market By Application 2016 -2026 (USD Million)
10. Competitive Landscape Analysis
10.1. Global AI in Fashion Market Company Revenue, (USD Million), 2016-2019
10.2. Global AI in Fashion Market Company Share, (%), 2016-2019
11. Company Profiles
11.1. Microsoft
11.2. IBM
11.3. Google
11.4. Facebook
11.5. Adobe
11.6. AWS
11.7. AP
11.8. Oracle
11.9. Huawei
11.10. Vue.ai
11.11. Catchoom
11.12. Heuritech
11.13. INDMINE
11.14. Intelistyle
11.15. Wide Eyes
11.16. company
11.17. Pttrns.ai
11.18. Others
12. Appendix
13. List of Tables
14. List of Figures
Research Methodology:
AI in Fashion Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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