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AI in Fashion Market, By Application (Product Recommendation, Product Search & Discovery), Deployment Mode (On-Premises, Cloud), Component (Solutions and Services), Category, (Apparel, Accessories, Beauty & Cosmetics): Global Forecast to 2027

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    Report

  • 220 Pages
  • June 2021
  • Region: Global
  • MarketDigits
  • ID: 5411669
The AI in Fashion market size is estimated to grow at a CAGR of 41% during the forecast year from 2021 to 2027.

The latest report on AI in Fashion Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of AI in Fashion with emphasis on market timelines and technology roadmaps analysis.

The AI in Fashion market is segmented by component, application, deployment mode, category, end user, and region. The research covers the current and historic AI in Fashion market size and its growth trend with company outline of Key players /manufacturers Google, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Vue.ai, Heuritech, Wide Eyes, FINDMINE, Intelistyle, Lily AI, Microsoft, IBM, Pttrns.ai, Syte, mode.ai (US), and Stitch Fix among others.

Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.

The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.

Market Analysis and Insights: AI in Fashion Market Analysis & Insights

AI in Fashion Market Scope and Market Size

AI in Fashion market is segmented by component, application, deployment mode, category, end user, and region. Players, stakeholders, and other participants in the global AI in Fashion market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2016-2027.

Report further studies the market development status and future and AI in Fashion Market trend across the world. Also, it splits AI in Fashion Market by component, application, deployment mode, category, end user, and region to deep dive research and reveals market profile and prospects.

Major Classifications are as follows:

By Components

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

By Applications

  • 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)

By Deployment Mode,

  • Cloud
  • On-premises

By Category

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

By End-User

  • Fashion Designers
  • Fashion Stores

By Region

  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific (APAC)
  • China
  • Japan
  • India
  • Rest of APAC
  • Rest of the World (RoW)
  • Middle East
  • Africa
  • South America

Reason to purchase this AI in Fashion Market Report:

Determine prospective investment areas based on a detailed trend analysis of the global AI in Fashion market over the next years.

Gain an in-depth understanding of the underlying factors driving demand for different and AI in Fashion market segments in the top spending countries across the world and identify the opportunities offered by each of them.

Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.

Identify the major channels that are driving the global AI in Fashion market, providing a clear picture of future opportunities that can be tapped, and resulting in revenue expansion.

Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global AI in Fashion market.

Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top AI in Fashion market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.


This product will be delivered within 3-5 business days.

Table of Contents

1. EXECUTIVE SUMMARY
2. INTRODUCTION
2.1. Key Takeaways
2.2. Report Description
2.3. Market Scope & Definition
2.4. Stakeholders
2.5. Research Methodology
2.5.1. Market Size
2.5.2. Key Data Points From Primary Sources
2.5.3. Key Data Points From Secondary Sources
2.5.4. List Of Primary Sources
2.5.5. List Of Secondary Sources
3. MARKET OVERVIEW
3.1. Industry Segmentation
3.2. Market Trends Analysis
3.3. Major Funding & Investments
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
3.5. Value Chain Analysis
3.6. Pricing Analysis
4. IMPACT OF COVID-19 ON AI IN FASHION MARKET
4.1. Impact Of Covid-19 On Market, By Component
4.2. Impact Of Covid-19 On Market, By Application
4.3. Impact Of Covid-19 On Market, By Deployment Mode
4.4. Impact Of Covid-19 On Market, By Category
4.5. Impact Of Covid-19 On Market, By Verticals
4.6. Impact of Covid-19 On Market, By Geography
5. AI IN FASHION MARKET, BY COMPONENT
5.1. Introduction
5.2. Solution
5.2.1. Software Tools
5.2.2. Platforms
5.3. Services
5.3.1. Training and Consulting
5.3.2. System Integration and Testing
5.4. Support and Maintenance
6. AI IN FASHION MARKET, BY APPLICATION
6.1. Introduction
6.2. Product Recommendation
6.3. Product Search and Discovery
6.4. Supply Chain Management and Demand Forecasting
6.5. Creative Designing and Trend Forecasting
6.6. Customer Relationship Management
6.7. Virtual Assistants
6.8. Others
7. AI IN FASHION MARKET, BY DEPLOYMENT MODE
7.1. Introduction
7.2. Cloud
7.3. On-premises
8. AI IN FASHION MARKET, BY CATEGORY
8.1. Introduction
8.2. Apparel
8.3. Accessories
8.4. Footwear
8.5. Beauty and Cosmetics
8.6. Jewelry and Watches
8.7. Others (eyewear, home decor)
9. AI IN FASHION MARKET, BY END-USER
9.1. Introduction
9.2. Fashion Designers
9.3. Fashion Stores
10. AI IN FASHION MARKET, BY GEOGRAPHY
10.1. Introduction
10.2. North America
10.2.1. U.S.
10.2.2. Canada
10.3. Europe
10.3.1. Germany
10.3.2. U.K.
10.3.3. France
10.3.4. Rest of Europe
10.4. Asia Pacific
10.4.1. China
10.4.2. Japan
10.4.3. India
10.4.4. Rest Of Asia Pacific
10.5. Rest of the World
10.5.1. Middle East
10.5.2. Africa
10.5.3. Latin America
11. COMPETITIVE ANALYSIS
11.1. Introduction
11.2. Top Companies Ranking
11.3. Market Share Analysis
11.4. Recent Developments
11.4.1. New Product Launch
11.4.2. Mergers & Acquisitions
11.4.3. Collaborations, Partnerships & Agreements
11.4.4. Rewards & Recognition
12. COMPANY PROFILES
12.1. Google
12.2. AWS
12.3. SAP
12.4. Facebook
12.5. Adobe
12.6. Oracle
12.7. Catchoom
12.8. Huawei
12.9. Vue.ai
12.10. Heuritech
12.11. Wide Eyes
12.12. FINDMINE
12.13. Intelistyle
12.14. Lily AI
12.15. Microsoft
12.16. IBM
12.17. Pttrns.ai
12.18. Syte,
12.19. mode.ai
12.20. Stitch Fix

Companies Mentioned

  • Google
  • AWS
  • SAP
  • Facebook
  • Adobe
  • Oracle
  • Catchoom
  • Huawei
  • Vue.ai
  • Heuritech
  • Wide Eyes
  • FINDMINE
  • Intelistyle
  • Lily AI
  • Microsoft
  • IBM
  • Pttrns.ai
  • Syte
  • mode.ai (US)
  • Stitch Fix