Artificial Intelligence in Fashion Market by Product Type (Accessories, Apparel, Beauty & Cosmetics), Component (Services, Solution), Deployment, Application, End-User - Global Forecast 2024-2030
The Artificial Intelligence in Fashion Market size was estimated at USD 597.85 million in 2023 and expected to reach USD 714.29 million in 2024, at a CAGR 19.56% to reach USD 2,089.02 million by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Fashion Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Fashion Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Fashion Market, highlighting leading vendors and their innovative profiles. These include Adobe Inc., Amazon Web Services, Inc., FindMine, Inc., GoEngineer, Inc., Google LLC by Alphabet Inc., Intelistyle Ltd., International Business Machines Corporation, Meta Platforms, Inc., Microsoft Corporation, OneLook Inc., Oracle Corporation, Pixyle B.V., SAP SE, Stitch Fix, Inc., and Stylumia Intelligence Technology Pvt. Ltd..
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Fashion Market to forecast the revenues and analyze trends in each of the following sub-markets:
Product Type
Accessories
Services
Support & Maintenance
Platform
On-Cloud
Creative Designing & Trend Forecasting
Fashion Designer
Americas
Argentina
California
Australia
Denmark
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast of the Artificial Intelligence in Fashion Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Fashion Market?
- What are the technology trends and regulatory frameworks in the Artificial Intelligence in Fashion Market?
- What is the market share of the leading vendors in the Artificial Intelligence in Fashion Market?
- Which modes and strategic moves are suitable for entering the Artificial Intelligence in Fashion Market?
Note: PDF & Excel + Online Access - 1 Year
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. Artificial Intelligence in Fashion Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Growing demand for inventory management
- 5.1.1.2. Rising need to provide personalized experience for consumers
- 5.1.1.3. Increasing market presence of retailers in online platforms and social media influence
- 5.1.2. Restraints
- 5.1.2.1. Lack of skilled professional to handle AI systems
- 5.1.3. Opportunities
- 5.1.3.1. Rising adoption to predict upcoming fashion trends
- 5.1.3.2. Increasing investment by companies in implementation and development of AI in fashion sector
- 5.1.4. Challenges
- 5.1.4.1. Concerns pertinent to sustainability of business mode
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of High Inflation
- 5.5. Porter’s Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
- 5.6. Value Chain & Critical Path Analysis
- 5.7. Regulatory Framework
- 6. Artificial Intelligence in Fashion Market, by Product Type
- 6.1. Introduction
- 6.2. Accessories
- 6.3. Apparel
- 6.4. Beauty & Cosmetics
- 6.5. Footwear
- 6.6. Jewelry & Watch
- 7. Artificial Intelligence in Fashion Market, by Component
- 7.1. Introduction
- 7.2. Services
- 7.3.1. Support & Maintenance
- 7.3.2. System Integration & Testing
- 7.3.3. Training & Consulting
- 7.3. Solution
- 7.4.1. Platform
- 7.4.2. Software Tools
- 8. Artificial Intelligence in Fashion Market, by Deployment
- 8.1. Introduction
- 8.2. On-Cloud
- 8.3. On-Premises
- 9. Artificial Intelligence in Fashion Market, by Application
- 9.1. Introduction
- 9.2. Creative Designing & Trend Forecasting
- 9.3. Customer Relationship Management
- 9.4. Product Recommendation
- 9.5. Product Search & Discovery
- 9.6. Supply Chain Management & Demand Planning
- 9.7. Virtual Assistant
- 10. Artificial Intelligence in Fashion Market, by End-User
- 10.1. Introduction
- 10.2. Fashion Designer
- 10.3. Fashion Store
- 11. Americas Artificial Intelligence in Fashion Market
- 11.1. Introduction
- 11.2. Argentina
- 11.3. Brazil
- 11.4. Canada
- 11.5. Mexico
- 11.6. United States
- 12. Asia-Pacific Artificial Intelligence in Fashion Market
- 12.1. Introduction
- 12.2. Australia
- 12.3. China
- 12.4. India
- 12.5. Indonesia
- 12.6. Japan
- 12.7. Malaysia
- 12.8. Philippines
- 12.9. Singapore
- 12.10. South Korea
- 12.11. Taiwan
- 12.12. Thailand
- 12.13. Vietnam
- 13. Europe, Middle East & Africa Artificial Intelligence in Fashion Market
- 13.1. Introduction
- 13.2. Denmark
- 13.3. Egypt
- 13.4. Finland
- 13.5. France
- 13.6. Germany
- 13.7. Israel
- 13.8. Italy
- 13.9. Netherlands
- 13.10. Nigeria
- 13.11. Norway
- 13.12. Poland
- 13.13. Qatar
- 13.14. Russia
- 13.15. Saudi Arabia
- 13.16. South Africa
- 13.17. Spain
- 13.18. Sweden
- 13.19. Switzerland
- 13.20. Turkey
- 13.21. United Arab Emirates
- 13.22. United Kingdom
- 14. Competitive Landscape
- 14.1. FPNV Positioning Matrix
- 14.2. Market Share Analysis, By Key Player
- 14.3. Competitive Scenario Analysis, By Key Player
- 15. Competitive Portfolio
- 15.1. Key Company Profiles
- 15.1.1. Adobe Inc.
- 15.1.2. Amazon Web Services, Inc.
- 15.1.3. FindMine, Inc.
- 15.1.4. GoEngineer, Inc.
- 15.1.5. Google LLC by Alphabet Inc.
- 15.1.6. Intelistyle Ltd.
- 15.1.7. International Business Machines Corporation
- 15.1.8. Meta Platforms, Inc.
- 15.1.9. Microsoft Corporation
- 15.1.10. OneLook Inc.
- 15.1.11. Oracle Corporation
- 15.1.12. Pixyle B.V.
- 15.1.13. SAP SE
- 15.1.14. Stitch Fix, Inc.
- 15.1.15. Stylumia Intelligence Technology Pvt. Ltd.
- 15.2. Key Product Portfolio
- 16. Appendix
- 16.1. Discussion Guide
- 16.2. License & Pricing
- FIGURE 1. ARTIFICIAL INTELLIGENCE IN FASHION MARKET RESEARCH PROCESS
- FIGURE 2. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, 2023 VS 2030
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN FASHION MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY PRODUCT TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
- FIGURE 16. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN FASHION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 25. ARTIFICIAL INTELLIGENCE IN FASHION MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 26. ARTIFICIAL INTELLIGENCE IN FASHION MARKET SHARE, BY KEY PLAYER, 2023
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