ファッションにおけるAIの世界市場予測（～2024年）...市場調査レポートについてご紹介

1 Introduction (Page No. – 19)
1.1 Objectives of the Study
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 23)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakdown and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study
3 Executive Summary (Page No. – 30)
4 Premium Insights (Page No. – 35)
4.1 Attractive Opportunities in the AI in Fashion Market
4.2 Market Top 4 Categories
4.3 Market Top 3 Applications and Regions
4.4 Market By Application
5 Market Overview and Industry Trends (Page No. – 38)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Customer Demand for Personalized Experience
5.2.1.2 Increasing Need for Inventory Management
5.2.1.3 Growing Influence of Social Media on the Fashion Industry
5.2.2 Restraints
5.2.2.1 Integration With Legacy Systems
5.2.3 Opportunities
5.2.3.1 Identifying Future Fashion Trends By Analyzing Customer Buying Behavior
5.2.3.2 Growth of Fast Fashion Retail to Boost the Adoption of AI in the Fashion Industry
5.2.4 Challenges
5.2.4.1 Incorporating Cultural Differentiation in Fashion Trends
5.3 Technologies That Impact Fashion Industry
5.3.1 Machine Learning
5.3.2 Deep Learning
5.3.3 Natural Language Processing
5.3.4 Augmented Reality/Virtual Reality
5.4 Use Cases
5.4.1 Use Case: Scenario 1
5.4.2 Use Case: Scenario 2
5.4.3 Use Case: Scenario 3
5.4.4 Use Case: Scenario 4
5.4.5 Use Case: Scenario 5
6 AI in Fashion Market By Component (Page No. – 45)
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.1.1 Growing Need for specific Solutions for Every Application to Drive the Adoption of Software Tools During the Forecast Period
6.2.2 Platforms
6.2.2.1 Increasing Need for Comprehensive AI Solutions Across Fashion Industry to Drive the Adoption of AI Platforms
6.3 Services
6.3.1 Training and Consulting
6.3.1.1 Need for Rapid Adoption and Optimization of AI Solutions to Drive the Training and Consulting Services Segment
6.3.2 System Integration and Testing
6.3.2.1 Need to Ensure Proper Integration of Existing Infrastructure With AI Fashion Solutions to Drive the Demand for System Integration and Testing Services
6.3.3 Support and Maintenance
6.3.3.1 Complexity of Operations and Need for Regular Assistance During the Software Life Cycle to Foster the Growth of Support and Maintenance Services
7 AI in Fashion Market By Deployment Mode (Page No. – 54)
7.1 Introduction
7.2 Cloud
7.2.1 Ease of Deployment and Improved Scalability and Integration to Drive the Adoption of Cloud-Based AI Solutions in Fashion Industry
7.3 On-Premises
7.3.1 Advantages of Data Privacy and Security to Accelerate the Growth of the On-Premises Deployment Mode
8 AI in Fashion Market By Application (Page No. – 58)
8.1 Introduction
8.2 Product Recommendation
8.2.1 Ability to Effectively Engage Customers Across Online and Offline Channels to Contribute to the Growth of the Segment
8.3 Product Search and Discovery
8.3.1 Growing Need to Provide Seamless Shopping Experiences to Increase the Adoption of AI-Powered Technologies
8.4 Supply Chain Management and Demand Planning
8.4.1 Need to Streamline Supply Chain Operations and Gain A Competitive Edge in the Market to Drive the Adoption of AI in Fashion
8.5 Creative Designing and Trend Forecasting
8.5.1 Need for Quality Insights Into Ongoing Fashion Trends to Drive the Creative Designing and Trend Forecasting Application
8.6 Customer Relationship Management
8.6.1 Fashion Retailers to Adopt AI Solutions to Better Analyze Sale Prospects
8.7 Virtual Assistant
8.7.1 Virtual Assistant to Play A Critical Role in Developing Effective Communication Between Fashion Brands and Customers
8.8 Others
9 AI in Fashion Market By Category (Page No. – 68)
9.1 Introduction
9.2 Apparel
9.2.1 Rapid Technological Changes to Drive the Adoption of AI Fashion Solution to Provide Style Recommendations
9.3 Accessories
9.3.1 Brands to Adopt ML Technologies to Predict Purchase Patterns
9.4 Footwear
9.4.1 Footwear Brands to Adopt AI and ML Technologies to Deliver Personalized Customer Experience
9.5 Beauty and Cosmetics
9.5.1 Beauty and Cosmetics Brands to Use AI and ML Technologies to Helps Shoppers Find Appropriate Products
9.6 Jewelry and Watches
9.6.1 Jewelry and Watches Brands to Leverage AI and ML Technologies to Identify Latest Consumer Trends
9.7 Others
10 AI in Fashion Market By End User (Page No. – 75)
10.1 Introduction
10.2 Fashion Designers
10.2.1 AI Technologies to Assist Fashion Designers Enhance Their Creative Designing Process
10.3 Fashion Stores
10.3.1 Fashion Brands to Adopt AI Technologies to Gain Competitive Advantage in the Market
11 AI in Fashion Market By Region (Page No. – 79)
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 Rapid Growth of Technologies and Infrastructures to Increase the Adoption of AI-Based Solutions Among the Fashion Industry
11.2.2 Canada
11.2.2.1 Growing Technological Advancements in Canada to Boost the Growth of AI Solutions Among Fashion Retailers
11.3 Europe
11.3.1 United Kingdom
11.3.1.1 Rising Online Shopping to Drive the Market Growth in the UK
11.3.2 Germany
11.3.2.1 Numerous Expansion Opportunities for Fashion Brands in Germany to Drive the Growth of AI in Fashion Solutions
11.3.3 France
11.3.3.1 Increasing Use of Fashion and Lifestyle Products to Create A Potential Market for AI in Fashion in France
11.3.4 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 Increasing Technological Developments in China to Boost the Adoption of AI Technology Among Fashion Brands
11.4.2 India
11.4.2.1 Growing Fashion Trend of Wearable Tech to Boost the Adoption of AI Technology in India
11.4.3 Japan
11.4.3.1 Increasing Need for Automation in Japan to Drive the Growth of AI in Inventory and Supply Chain Management in Fashion Retail
11.4.4 Australia
11.4.4.1 Increasing Customer Expectations to Drive the Fashion Retail Investments in Advanced Technologies in Australia
11.4.5 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 United Arab Emirates
11.5.1.1 Changing Customer Expectations and Shorter Strategy Cycle to Enhance the Adoption of Digital and AI Technology Across the UAE
11.5.2 Saudi Arabia
11.5.2.1 Gradual Adoption of Fashionable Clothing to Drive the Adoption the AI in Fashion Retail
11.5.3 South Africa
11.5.3.1 Lack of Technological Skills and Poor Data Quality to Restrain the Growth of AI Among South African Fashion Retailers
11.5.4 Rest of Middle East and Africa
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Growing eCommerce Across Brazil to Boost the Adoption of AI in the Fashion Industry
11.6.2 Mexico
11.6.2.1 Growing Developments in Computer Vision, ML, and NLP to Provide Opportunities for Fashion Retailers for Adopting Advanced Technologies in Mexico
11.6.3 Argentina
11.6.3.1 Growing Demand for Luxurious Goods and Need for Streamlined Supply Chain to Enhance the Adoption of AI in Argentina
11.6.4 Rest of Latin America
12 Competitive Landscape (Page No. – 131)
12.1 Introduction
12.2 Competitive Leadership Mapping
12.2.1 Progressive Companies
12.2.2 Responsive Companies
12.2.3 Dynamic Companies
12.2.4 Starting Blocks
13 Company Profiles (Page No. – 133)
13.1 Introduction
(Business Overview, Solutions & Projects Undertaken, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 Microsoft
13.3 IBM
13.4 Google
13.5 AWS
13.6 SAP
13.7 Facebook
13.8 Adobe
13.9 Oracle
13.10 Catchoom
13.11 Huawei
13.12 Vue.AI
13.13 Heuritech
13.14 Wide Eyes
13.15 Findmine
13.16 Intelistyle
13.17 Lily AI
13.18 Pttrns.AI
13.19 Syte
13.20 Mode.AI
13.21 Stitch Fix
*Details on Business Overview, Solutions & Projects Undertaken, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
14 Appendix (Page No. – 166)
14.1 Industry Excerpts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details