AI in Fashion Market

AI in Fashion Market by Component (Solutions and Services), Application (Product Recommendation, Product Search & Discovery, and CRM), Deployment Mode, Category, (Apparel, Accessories, and Beauty & Cosmetics), End User, and Region - Global Forecast to 2024

Report Code: TC 7398 Oct, 2019, by marketsandmarkets.com

[175 Pages Report] The global AI in fashion market size is expected to grow from USD 228 million in 2019 to USD 1,260 million by 2024, at a Compound Annual Growth Rate (CAGR) of 40.8% during the forecast period. Key growth factors for the market include customer’s demand for a personalized experience, increasing need for inventory management and the growing influence of social media in the fashion industry. Also, Identifying future fashion trends in advance with customer’s buying behaviour analysis and Growing fast fashion retail to boost the adoption of artificial intelligence in the fashion industry marketing to create many opportunities for vendors of AI in fashion solutions.

AI in Fashion Market

Solution segment to hold a larger market size during the forecast period

The AI in fashion market, by component, covers solution and services. The solution segment outperforms the services segment and is anticipated recording higher growth in the future due to a higher rate of adoption. The fashion retailers are increasingly moving towards advanced technologies that can streamline their business processes and help acquire new customers. Moreover, identifying current trends through various social media platforms and catering to the customer’s every need has become challenging for the organizations. Hence, fashion retailers and brands are progressively adopting AI based solutions, including platform and software tools such as SDKs, APIs, and ML models.

AI in Fashion Market

APAC is expected to hold the highest CAGR during the forecast period

The global AI in fashion market covers five major geographic regions, viz., North America, Asia Pacific (APAC), Europe, Middle East & Africa (MEA), and Latin America. North America is expected to hold the largest market size during the forecast period. The APAC region shows rapid growth in the market, owing to various reasons, such as growing social media adoption and the expansion of local enterprises and the government initiatives that are focused on advancements in the AI technology. Investments by tech giants are also expected to be fuelling the growth of AI-based solutions across the region.

Key AI in Fashion Market Players

The AI in fashion market comprises key solution providers, such as Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US), Catchoom (Spain), Huawei (China), Vue.ai (US), Heuritech (France), Wide Eyes (Spain), FINDMINE (US), Intelistyle (England), Lily AI (US), Pttrns.ai (Netherlands), Syte (Israel), mode.ai (US),  and Stitch Fix (US).

The study includes an in-depth competitive analysis of the key players in the market with their company profiles, recent developments, and key market strategies.

Scope of the AI in Fashion Market report

Report Metric

Details

Market size available for years

2017–2024

Base year considered

2018

Forecast period

2019–2024

Forecast units

Million (USD)

Segments covered

Component, Application, Deployment Mode, Category, End User, and Region

Geographies covered

North America, APAC, Europe, Latin America, and MEA

Companies covered

 Microsoft (US), IBM (US), Google (US), AWS (US), SAP (Germany), Facebook (US), Adobe (US), Oracle (US), Catchoom (Spain), Huawei (China), Vue.ai (US), Heuritech (France), Wide Eyes (Spain), FINDMINE (US), Intelistyle (England), Lily AI (US), Pttrns.ai (Netherlands), Syte (Israel), mode.ai (US),  and Stitch Fix (US)

This research report categorizes the AI in fashion market based on component, application, deployment mode, category, end user, and region.

Based on Components, the AI in Fashion Market has the following segments:

  • Solution
    • Software Tools
    • Platforms
  • Services
    • Training and Consulting
    • System Integration and Testing
    • Support and Maintenance

Based on Applications, the AI in Fashion Market has the following segments:

  • Product Recommendation
  • Product Search and Discovery
  • Supply Chain Management and Demand Forecasting
  • Creative Designing and Trend Forecasting
  • Customer Relationship Management
  • Virtual Assistants
  • Others (Fraud detection, fabric waste reduction, and price optimization)

Based on Deployment Mode, the AI in Fashion Market has the following segments

  • Cloud
  • On-premises

Based on the Category, the AI in Fashion Market has the following segments

  • Apparel
  • Accessories
  • Footwear
  • Beauty and Cosmetics
  • Jewelry and Watches
  • Others (eyewear, home decor)

Based on End-User, the AI in Fashion Market has the following segments:

  • Fashion Designers
  • Fashion Stores

Based on Regions, the AI in Fashion Market has the following segments:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • Japan
    • India
    • Australia
    • Rest of APAC
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
  • MEA
    • UAE
    • Saudi Arabia
    • South Africa

Key Questions addressed by the report:

  • What are the opportunities in the AI in fashion market?
  • What is the competitive landscape in the market?
  • What are the emerging technologies impacting the overall market?
  • What are the key use cases existing in the market?
  • What are the key trends and dynamics existing in the market? 

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

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


List of Tables (119 Tables)

Table 1 United States Dollar Exchange Rate, 2016–2018
Table 2 Global AI in Fashion Market Size and Growth Rate, 2017–2024 (USD Million and Y-O-Y %)
Table 3 Daily Active Users of Social Media (Global)
Table 4 AI in Fashion Market Size, By Component, 2017–2024 (USD Million)
Table 5 Solutions: Market Size By Type, 2017–2024 (USD Million)
Table 6 Solutions: Market Size By Region, 2017–2024 (USD Million)
Table 7 Software Tools Market Size, By Region, 2017–2024 (USD Million)
Table 8 Platforms Market Size, By Region, 2017–2024 (USD Million)
Table 9 Services: Market Size By Type, 2017–2024 (USD Million)
Table 10 Services: Market Size By Region, 2017–2024 (USD Million)
Table 11 Training and Consulting Market Size, By Region, 2017–2024 (USD Million)
Table 12 System Integration and Testing Market Size, By Region, 2017–2024 (USD Million)
Table 13 Support and Maintenance: Market Size By Region, 2017–2024 (USD Million)
Table 14 AI in Fashion Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 15 Cloud: Market Size By Region, 2017–2024 (USD Million)
Table 16 On-Premises: Market Size By Region, 2017–2024 (USD Million)
Table 17 AI in Fashion Market, By Application, 2017–2024 (USD Million)
Table 18 Mobile Data Traffic
Table 19 Product Recommendation: Market By Region, 2017–2024 (USD Million)
Table 20 Product Search and Discovery: Market By Region, 2017–2024 (USD Million)
Table 21 Supply Chain Management and Demand Forecasting: Market By Region, 2017–2024 (USD Million)
Table 22 Creative Designing and Trend Forecasting: Market By Region, 2017–2024 (USD Million)
Table 23 Customer Relationship Management: Market By Region, 2017–2024 (USD Million)
Table 24 Virtual Assistant: Market By Region, 2017–2024 (USD Million)
Table 25 Others: Market By Region, 2017–2024 (USD Million)
Table 26 AI in Fashion Market Size, By Category, 2017–2024 (USD Million)
Table 27 Apparel: Market Size By Region, 2017–2024 (USD Million)
Table 28 Accessories: Market Size By Region, 2017–2024 (USD Million)
Table 29 Footwear: Market Size By Region, 2017–2024 (USD Million)
Table 30 Beauty and Cosmetics: Market Size By Region, 2017–2024 (USD Million)
Table 31 Jewelry and Watches: Market Size By Region, 2017–2024 (USD Million)
Table 32 Others: Market Size By Region, 2017–2024 (USD Million)
Table 33 AI in Fashion Market Size, By End User, 2017–2024 (USD Million)
Table 34 Fashion Designers: Market By Region, 2017–2024 (USD Million)
Table 35 Fashion Stores: Market By Region, 2017–2024 (USD Million)
Table 36 AI in Fashion Market Size, By Region, 2017–2024 (USD Million)
Table 37 Data Traffic in North America, 2016–2024 (Petabytes/Year)
Table 38 Major Eretailers in North America
Table 39 North America: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 40 North America: Market Size By Solution, 2017–2024 (USD Thousand)
Table 41 North America: Market Size By Service, 2017–2024 (USD Thousand)
Table 42 North America: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 43 North America: Market Size By Application, 2017–2024 (USD Thousand)
Table 44 North America: Market Size By Category, 2017–2024 (USD Thousand)
Table 45 North America: Market Size By End User, 2017–2024 (USD Thousand)
Table 46 North America: Market Size By Country, 2017–2024 (USD Thousand)
Table 47 United States: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 48 United States: Market Size By Solution, 2017–2024 (USD Thousand)
Table 49 United States: Market Size By Service, 2017–2024 (USD Thousand)
Table 50 United States: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 51 United States: Market Size By Application, 2017–2024 (USD Thousand)
Table 52 United States: Market Size By Category, 2017–2024 (USD Thousand)
Table 53 United States: Market Size By End User, 2017–2024 (USD Thousand)
Table 54 Major Eretailers in Europe
Table 55 Europe: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 56 Europe: Market Size By Solution, 2017–2024 (USD Thousand)
Table 57 Europe: Market Size By Service, 2017–2024 (USD Thousand)
Table 58 Europe: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 59 Europe: Market Size By Application, 2017–2024 (USD Thousand)
Table 60 Europe: Market Size By Category, 2017–2024 (USD Thousand)
Table 61 Europe: Market Size By End User, 2017–2024 (USD Thousand)
Table 62 Europe: Market Size By Country, 2017–2024 (USD Thousand)
Table 63 United Kingdom: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 64 United Kingdom: Market Size By Solution, 2017–2024 (USD Thousand)
Table 65 United Kingdom: Market Size By Service, 2017–2024 (USD Thousand)
Table 66 United Kingdom: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 67 United Kingdom: Market Size By Application, 2017–2024 (USD Thousand)
Table 68 United Kingdom: Market Size By Category, 2017–2024 (USD Thousand)
Table 69 United Kingdom: Market Size By End User, 2017–2024 (USD Thousand)
Table 70 Data Traffic in Asia Pacific, 2016–2024 (Petabytes/Year)
Table 71 Major Eretailers in Asia Pacific
Table 72 Asia Pacific: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 73 Asia Pacific: Market Size By Solution, 2017–2024 (USD Thousand)
Table 74 Asia Pacific: Market Size By Service, 2017–2024 (USD Thousand)
Table 75 Asia Pacific: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 76 Asia Pacific: Market Size By Application, 2017–2024 (USD Thousand)
Table 77 Asia Pacific: Market Size By Category, 2017–2024 (USD Thousand)
Table 78 Asia Pacific: Market Size By End User, 2017–2024 (USD Thousand)
Table 79 Asia Pacific: Market Size By Country, 2017–2024 (USD Thousand)
Table 80 China: AI in Fashion Market, By Component, 2017–2024 (USD Thousand)
Table 81 China: Market Size By Solution, 2017–2024 (USD Thousand)
Table 82 China: Market Size By Service, 2017–2024 (USD Thousand)
Table 83 China: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 84 China: Market Size By Application, 2017–2024 (USD Thousand)
Table 85 China: Market Size By Category, 2017–2024 (USD Thousand)
Table 86 China: Market Size By End User, 2017–2024 (USD Thousand)
Table 87 Data Traffic in Middle East and Africa, 2016–2024 (Petabytes/Year)
Table 88 Middle East and Africa: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 89 Middle East and Africa: Market Size By Solution, 2017–2024 (USD Thousand)
Table 90 Middle East and Africa: Market Size By Service, 2017–2024 (USD Thousand)
Table 91 Middle East and Africa: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 92 Middle East and Africa: Market Size By Application, 2017–2024 (USD Thousand)
Table 93 Middle East and Africa: Market Size By Category, 2017–2024 (USD Thousand)
Table 94 Middle East and Africa: Market Size By End User, 2017–2024 (USD Thousand)
Table 95 Middle East and Africa: Market Size By Country,2017–2024 (USD Thousand)
Table 96 United Arab Emirates: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 97 United Arab Emirates: Market Size By Solution, 2017–2024 (USD Thousand)
Table 98 United Arab Emirates: Market Size By Service, 2017–2024 (USD Thousand)
Table 99 United Arab Emirates: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 100 United Arab Emirates: Market Size By Application, 2017–2024 (USD Thousand)
Table 101 United Arab Emirates: Market Size By Category, 2017–2024 (USD Thousand)
Table 102 United Arab Emirates: Market Size By End User, 2017–2024 (USD Thousand)
Table 103 Data Traffic in Latin America, 2016–2024 (Petabytes/Year)
Table 104 Major Eretailers in Latin America
Table 105 Latin America: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 106 Latin America: Market Size By Solution, 2017–2024 (USD Thousand)
Table 107 Latin America: Market Size By Service, 2017–2024 (USD Thousand)
Table 108 Latin America: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 109 Latin America: Market Size By Application, 2017–2024 (USD Thousand)
Table 110 Latin America: Market Size By Category, 2017–2024 (USD Thousand)
Table 111 Latin America: Market Size By End User, 2017–2024 (USD Thousand)
Table 112 Latin America: Market Size By Country, 2017–2024 (USD Thousand)
Table 113 Brazil: AI in Fashion Market Size, By Component, 2017–2024 (USD Thousand)
Table 114 Brazil: Market Size By Solution, 2017–2024 (USD Thousand)
Table 115 Brazil: Market Size By Service, 2017–2024 (USD Thousand)
Table 116 Brazil: Market Size By Deployment Mode, 2017–2024 (USD Thousand)
Table 117 Brazil: Market Size By Application, 2017–2024 (USD Thousand)
Table 118 Brazil: Market Size By Category, 2017–2024 (USD Thousand)
Table 119 Brazil: Market Size By End User, 2017–2024 (USD Thousand)


List of Figures (48 Figures)

Figure 1 Market Segmentation
Figure 2 Regions Covered
Figure 3 AI in Fashion Market: Research Design
Figure 4 Market: Top-Down and Bottom-Up Approaches
Figure 5 Factor Analysis
Figure 6 Solutions Segment to Account for A Larger Market Size
Figure 7 Platforms Segment to Account for A Larger Market Size
Figure 8 Training and Consulting Segment to Account for the Largest Market Size
Figure 9 Fashion Stores to Account for A Higher Market Share
Figure 10 Product Recommendation to Account for the Largest Market Size
Figure 11 Asia Pacific to Account for the Highest CAGR During the Forecast Period
Figure 12 Growing Need to Deliver Personalized Experience to Drive the AI in Fashion Market
Figure 13 Accessories to Grow at the Highest Rate During the Forecast Period
Figure 14 Product Recommendation and North America to Account for the Highest Market Shares in the AI in Fashion Market in 2019
Figure 15 Product Recommendation to Register the Highest Market Share in 2019
Figure 16 Asia Pacific to Be the Best Region for Investments During the Forecast Period
Figure 17 Drivers, Restraints, Opportunities, and Challenges: AI in Fashion Market
Figure 18 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 19 Platforms Segment to Hold A Larger Market Size During the Forecast Period
Figure 20 System Integration and Testing Segment to Grow at the Highest CAGR During the Forecast Period
Figure 21 Cloud Segment to Hold A Larger Market Size During the Forecast Period
Figure 22 Product Search and Discovery Segment to Register the Highest CAGR During the Forecast Period
Figure 23 Accessories Segment to Grow at the Highest CAGR During the Forecast Period
Figure 24 Fashion Stores Segment to Register A Larger Market Size During the Forecast Period
Figure 25 Asia Pacific to Grow at the Highest CAGR During the Forecast Period
Figure 26 Australia to Hold the Highest CAGR During the Forecast Period
Figure 27 Asia Pacific to have the Highest CAGR in the AI in Fashion Market During the Forecast Period
Figure 28 North America: Market Snapshot
Figure 29 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 30 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 31 Asia Pacific: Market Snapshot
Figure 32 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 33 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 34 Product Search and Discovery Segment to Grow at the Highest CAGR During the Forecast Period
Figure 35 AI in Fashion Market (Startup), Competitive Leadership Mapping, 2019
Figure 36 Microsoft: Company Snapshot
Figure 37 Microsoft: SWOT Analysis
Figure 38 IBM: Company Snapshot
Figure 39 IBM: SWOT Analysis
Figure 40 Google: Company Snapshot
Figure 41 Google: SWOT Analysis
Figure 42 AWS: Company Snapshot
Figure 43 AWS: SWOT Analysis
Figure 44 SPA: Company Snapshot
Figure 45 SPA: SWOT Analysis
Figure 46 Facebook: Company Snapshot
Figure 47 Adobe: Company Snapshot
Figure 48 Oracle: Company Snapshot

The study involved four major activities in estimating the current market size for AI in fashion solution and services. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate the findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, market breakup and data triangulation were used to estimate the market size of segments and subsegments.

Secondary Research

In the secondary research process, various secondary sources, such as D&B Hoovers and Bloomberg BusinessWeek have been referred to, for identifying and collecting information for the study. The secondary sources included annual reports, press releases, and investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.

Primary Research

Various primary sources from both the supply and demand sides of the AI in fashion market ecosystem were interviewed to obtain qualitative and quantitative information for the study. The primary sources from the supply-side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in fashion market, associated service providers, and system integrators operating in the targeted regions. All possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The breakup of profiles of primary respondents as follows:

AI in Fashion Market

To know about the assumptions considered for the study, download the pdf brochure

AI in Fashion Market Size Estimation

For making market estimations and forecasting the AI in fashion market, and the other dependent submarkets, top-down, and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global AI in fashion market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market have been identified through extensive secondary research.
  • The market size, in terms of value, has been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.

Data Triangulation

With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using the study. The overall market size was then used in the top-down procedure to estimate the size of other individual markets through percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the use of Artificial Intelligence (AI) in the fashion market by component (solutions [software tools and platforms], service [training and consulting, system integration and testing, and support and maintenance]), deployment mode (cloud and on-premises), application (personalized recommendations, product search and discovery, supply chain management and demand forecasting, creative designing and trend forecasting, Customer Relationship Management (CRM), virtual assistants, and others [fraud detection, price optimization, and fabric waste reduction), category (apparel, accessories, footwear, jewelry and watches, beauty and cosmetics, and others [eyewear, furniture and decor]), end user(fashion designers, fashion stores), and region
  • To provide detailed information about the major factors (drivers, opportunities, restraints, and challenges) influencing the growth of the AI in fashion market
  • To analyze micro-markets with respect to individual growth trends, prospects, and contributions to the overall market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the AI in fashion market
  • To forecast the market size of the market segments for five main regions: North America, Europe, Middle East and Africa (MEA), Asia Pacific (APAC), and Latin America
  • To profile the key players of the AI in fashion market and comprehensively analyze their market size and core competencies in the market
  • To track and analyze the competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations in the global AI in fashion market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players up to 5

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Related Technologies/Products

 

Adjacent Markets

Mar. Size
2018
CAGR 2018-23

Competitive Landscape

 
 
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Report Code
TC 7398
Published ON
Oct, 2019
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