AI in Fashion Market is forecasted to value over USD 2.0 billion by 2028 end and register a CAGR of 40.7% from the forecast period 2021-2028.

As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and Machine Learning (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and machine learning offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.

The assessment of the AI in Fashion Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The AI in Fashion Market is also analyzed based on the regional segmentation, product type or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the AI in Fashion Market:

  • Microsoft
  • IBM
  • Google
  • AWS
  • SAP
  • Facebook
  • Adobe
  • Oracle
  • Catchoom
  • Huawei
  • Vue.AI
  • Heuritech
  • Wide Eyes
  • Findmine
  • Intelistyle
  • Lily AI
  • Pttrns.AI
  • Syte
  • Mode.AI
  • Stitch Fix

(Note: The list of the major players will be updated with the latest market scenario and trends)

AI in Fashion Market Segmentation:
By Component

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

By Application

  • Product Recommendation
  • Product Search and Discovery
  • Supply Chain Management and Demand Planning
  • Creative Designing and Trend Forecasting
  • Customer Relationship Management
  • Virtual Assistant
  • Others

By Deployment Mode

  • On-premises
  • Cloud

By Category

  • Apparel
  • Accessories
  • Footwear
  • Beauty and Cosmetics
  • Jewellery and Watches
  • Others

By End User

  • Fashion Designers
  • Fashion Stores

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

AI in Fashion Market Competitive Analysis:

  • Tier-1 Players
  • Tier-2 Players
  • Emerging Players
  • New Entrants

Future Market Analytics Focus Points:

  • SWOT Analysis
  • Key Market Trends
  • Key Data -Points Affecting Market Growth
  • Revenue and Forecast Analysis
  • Growth Opportunities For New Entrants and Emerging Players
  • Key Player and Market Growth Matrix

Objectives of the Study:

  • To provide a comprehensive analysis on the AI in fashion market by component, by application, by deployment mode, by category, by end user and by region
  • To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
  • To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
  • To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

 
In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com

Description

1. Market Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Market Scope
         1.3.1 Years Considered for the Study
         1.3.2 Market Covered
    1.4. Currency
    1.5. Limitations
    1.6. Stakeholders

2. Research Methodology
    2.1. Research Data
         2.1.1. Secondary Data
                2.1.1.1. Key Data from Secondary Sources
         2.1.2. Primary Data
                2.1.2.1. Key Data from Primary Sources
    2.2. Market Size Estimation
    2.3. Market Breakdown and Data Triangulation
    2.4. Assumptions for the Study

3. Executive Summary
    3.1. Market Outlook
    3.2. Segment Outlook
    3.3. Competitive Insights

4. Market Variables, Trends & Scope
    4.1. Market Lineage Outlook
    4.2. Penetration and Growth Prospect Mapping
    4.3. Industry Value Chain Analysis
    4.4. Cost Analysis Breakdown
    4.5. Technology Overview
    4.6. Regulatory Framework on Country Level
         4.6.1. Reimbursement Framework
         4.6.2. Standards and Compliances

5. Market Overview
    5.1. Market Dynamics
         5.1.1. Market Driver Analysis
         5.1.2. Market Restraint Analysis
         5.1.3. Industry Challenges

6. Market Analysis Tools
    6.1. Industry Analysis – Porter’s
         6.1.1. Supplier Power
         6.1.2. Buyer Power
         6.1.3. Substitution Threat
         6.1.4. Threat from new entrants
         6.1.5. Competitive Rivalry
    6.2. Pestel Analysis
         6.2.1. Political Landscape
         6.2.2. Environmental Landscape
         6.2.3. Social landscape
         6.2.4. Technology landscape
         6.2.5. Legal Landscape

7. AI in Fashion Market, By Component Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1. Solutions
         7.1.1. Software Tools
         7.1.2. Platforms
    7.2. Services
         7.2.1. Training and Consulting
         7.2.2. System Integration and Testing
         7.2.3. Support and Maintenance

8. AI in Fashion Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Product Recommendation
    8.2. Product Search and Discovery
    8.3. Supply Chain Management and Demand Planning
    8.4. Creative Designing and Trend Forecasting
    8.5. Customer Relationship Management
    8.6. Virtual Assistant
    8.7. Others

9. AI in Fashion Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    9.1. Cloud
    9.2. On-Premises

10. AI in Fashion Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. Apparel
    10.2. Accessories
    10.3. Footwear
    10.4. Beauty and Cosmetics
    10.5. Jewellery and Watches
    10.6. Others

11. AI in Fashion Market, By End User Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    11.1. Fashion Designers
    11.2. Fashion Stores

12. North America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    12.1. Introduction
    12.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         12.2.1. U.S.
         12.2.2. Canada
         12.2.3. Mexico
         12.2.4. Rest of North America
    12.3. Market Size (USD Mn) Forecast for North America 2021-2028

13. Latin America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    13.1. Introduction
    13.2. Regional Market Trends
    13.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         13.3.1. Brazil
         13.3.2. Venezuela
         13.3.3. Argentina
         13.3.4. Rest of Latin America
    13.4. Market Size (USD Mn) Forecast for Latin America 2021-2028

14. Europe Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    14.1. Introduction
    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         14.2.1. Germany
         14.2.2. U.K
         14.2.3. France
         14.2.4. Italy
         14.2.5. Switzerland
         14.2.6. Spain
         14.2.7. Russia
         14.2.8. Poland
         14.2.9. Rest of Europe
    14.3. Market Size (USD Mn) Forecast for Europe 2021-2028

15. Asia Pacific Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    15.1. Introduction
    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         15.2.1. Japan
         15.2.2. China
         15.2.3. Singapore
         15.2.4. Korea
         15.2.5. India
         15.2.6. Australia and New Zealand
         15.2.7. ASEAN
         15.2.8. Rest of Asia Pacific
    15.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

16. Middle East and Africa Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)
    16.1. Introduction
    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         16.2.1. UAE
         16.2.2. South Africa
         16.2.3. Egypt
         16.2.4. Saudi Arabia
         16.2.5. Rest of MEA
    16.3. Market Size (USD Mn) Forecast for MEA 2021-2028

17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    17.1. Microsoft
         17.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.1.2. Product Portfolio
         17.1.3. SWOT Analysis
         17.1.4. Financial Overview
         17.1.5. Strategic Overview
    17.2. IBM
         17.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.2.2. Product Portfolio
         17.2.3. SWOT Analysis
         17.2.4. Financial Overview
         17.2.5. Strategic Overview
    17.3. Google
         17.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.3.2. Product Portfolio
         17.3.3. SWOT Analysis
         17.3.4. Financial Overview
         17.3.5. Strategic Overview
    17.4. AWS
         17.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.4.2. Product Portfolio
         17.4.3. SWOT Analysis
         17.4.4. Financial Overview
         17.4.5. Strategic Overview
    17.5. SAP
         17.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.5.2. Product Portfolio
         17.5.3. SWOT Analysis
         17.5.4. Financial Overview
         17.5.5. Strategic Overview
    17.6. Facebook
         17.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.6.2. Product Portfolio
         17.6.3. SWOT Analysis
         17.6.4. Financial Overview
         17.6.5. Strategic Overview
    17.7. Adobe
         17.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.7.2. Product Portfolio
         17.7.3. SWOT Analysis
         17.7.4. Financial Overview
         17.7.5. Strategic Overview
    17.8. Oracle
         17.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.8.2. Product Portfolio
         17.8.3. SWOT Analysis
         17.8.4. Financial Overview
         17.8.5. Strategic Overview
    17.9. Catchoom
         17.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.9.2. Product Portfolio
         17.9.3. SWOT Analysis
         17.9.4. Financial Overview
         17.9.5. Strategic Overview
    17.10. Huawei
         17.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.10.2. Product Portfolio
         17.10.3. SWOT Analysis
         17.10.4. Financial Overview
         17.10.5. Strategic Overview
    17.11. Vue.AI
         17.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.11.2. Product Portfolio
         17.11.3. SWOT Analysis
         17.11.4. Financial Overview
         17.11.5. Strategic Overview
    17.12. Heuritech
         17.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.12.2. Product Portfolio
         17.12.3. SWOT Analysis
         17.12.4. Financial Overview
         17.12.5. Strategic Overview
    17.13. Wide Eyes
         17.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.13.2. Product Portfolio
         17.13.3. SWOT Analysis
         17.13.4. Financial Overview
         17.13.5. Strategic Overview
    17.14. Findmine
         17.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.14.2. Product Portfolio
         17.14.3. SWOT Analysis
         17.14.4. Financial Overview
         17.14.5. Strategic Overview
    17.15. Intelistyle
         17.15.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.15.2. Product Portfolio
         17.15.3. SWOT Analysis
         17.15.4. Financial Overview
         17.15.5. Strategic Overview
    17.16. Lily AI
         17.16.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.16.2. Product Portfolio
         17.16.3. SWOT Analysis
         17.16.4. Financial Overview
         17.16.5. Strategic Overview
    17.17. Pttrns.AI
         17.17.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.17.2. Product Portfolio
         17.17.3. SWOT Analysis
         17.17.4. Financial Overview
         17.17.5. Strategic Overview
    17.18. Syte
         17.18.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.18.2. Product Portfolio
         17.18.3. SWOT Analysis
         17.18.4. Financial Overview
         17.18.5. Strategic Overview
    17.19. Mode.AI
         17.19.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.19.2. Product Portfolio
         17.19.3. SWOT Analysis
         17.19.4. Financial Overview
         17.19.5. Strategic Overview
    17.20. Stitch Fix
         17.20.1. Company Overview (HQ, Business Segments, Employee Strength)
         17.20.2. Product Portfolio
         17.20.3. SWOT Analysis
         17.20.4. Financial Overview
         17.20.5. Strategic Overview
(Note: The list of the major players will be updated with the latest market scenario and trends)

18. Impact of COVID-19
    18.1. Positive influence on the industry
    18.2. The financial disruption of the sector
    18.3. Impact of COVID-19 on emerging companies
    18.4. Significant mandates in the industry regulations initiated by administrations
    18.5. The overall economic slowdown of the developing and developed nations

19. Competitive Intelligence and Competitive Matrix
    19.1. Competitive Intelligence
    19.2. Competitive Matrix

20. Major Deals and Strategic Alliances Analysis
    20.1. Joint ventures
    20.2. Mergers and acquisitions
    20.3. Licensing and partnerships
    20.4. Technology Collaborations
    20.5. Strategic Divestments
    20.6. Market Entry Strategies

21. Relevant Case Studies and Latest News Updates

22. Key Market Takeaway Points from the Market Analysts at Future Market Analytics