Summary

United States AI in fashion market is expected to grow at a formidable CAGR of around 15% during the forecast period. The United States AI in fashion market is driven by the increasing need for inventory management and the growing influence of social media in the fashion industry. Additionally, identifying future fashion trends in advance with customer’s buying behavior analysis and growing fast fashion retail are further expected to propel the growth of market over the coming years.

The United States AI in fashion market is segmented based on component, deployment mode, category, application, end user, company and region. Based on component, the market can be bifurcated into solutions and services. The solutions segment is expected to dominate the market owing to the higher rate of adoption by fashion retailers and brands. Based on application, the market can be fragmented into product recommendation, product search & discovery, supply chain management & demand forecasting, creative designing & trend forecasting, customer relationship management, virtual assistants and others. The product recommendation segment is expected to hold the largest market share during the forecast period on account of the rising adoption of social media and increasing customer awareness as fashion retailers are trying to provide every best possible service to their customers to enhance trust and hold them for a longer time.
Major players operating in the United States AI in fashion market include Microsoft Corporation, International Business Machines Corp, Google Inc., Amazon Web Component Inc, Facebook Inc, Adobe Inc, Oracle Corporation, Mad Street Den Inc., Lily AI Inc, Stitch Fix Inc and others.
Years considered for this report:
Historical Years: 2015-2018
Base Year: 2019
Estimated Year: 2020
Forecast Period: 2021–2025
Objective of the Study:
• To analyze and forecast the market size of United States AI in fashion market.
• To classify and forecast United States AI in fashion market based on component, deployment mode, category, application, end user industry, company and regional distribution.
• To identify drivers and challenges for United States AI in fashion market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in United States AI in fashion market.
• To identify and analyze the profile of leading players operating in United States AI in fashion market.
TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the region. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the region.
TechSci Research calculated the market size of United States AI in fashion market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.
Key Target Audience:
• AI in fashion service providers, vendors and other stakeholders
• Government bodies such as regulating authorities and policy makers
• Organizations, forums and alliances related to AI in fashion
• Market research and consulting firms
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
Report Scope:
In this report, United States AI in fashion market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
• Market, By Component:
o Solutions
o Services
• Market, By Deployment Mode:
o Cloud
o On-Premises
• Market, By Category:
o Apparel
o Accessories
o Beauty & Cosmetics
o Others
• Market, By Application:
o Product Recommendation
o Product Search & Discovery
o Supply Chain Management & Demand Forecasting
o Creative Designing & Trend Forecasting
o Customer Relationship Management
o Virtual Assistants
o Others
• Market, By End User Industry:
o Fashion Designers
o Fashion Stores
o Others
• Market, By Region:
o North-East
o Mid-West
o West
o South
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in United States AI in fashion market.
Available Customizations:
With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information
• Detailed analysis and profiling of additional market players (up to five).

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Table of Contents

1. Product Overview
2. Research Methodology
3. Executive Summary
4. Voice of Customer
5. United States AI in Fashion Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Component (Solutions and Services)
5.2.2. By Deployment Mode (Cloud v/s On-Premises)
5.2.3. By Category (Apparel, Accessories, Beauty & Cosmetics, Others)
5.2.4. By Application (Product Recommendation, Product Search & Discovery, Supply Chain Management & Demand Forecasting, Creative Designing & Trend Forecasting, Customer Relationship Management, Virtual Assistants, Others)
5.2.5. By End User (Fashion Designers, Fashion Stores, Others)
5.2.6. By Region
5.2.7. By Company (2018)
5.3. Product Market Map
6. North-East United States AI in Fashion Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component
6.2.2. By Deployment Mode
6.2.3. By Category
6.2.4. By Application
6.2.5. By End User
7. Mid-West United States AI in Fashion Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment Mode
7.2.3. By Category
7.2.4. By Application
7.2.5. By End User
8. West United States AI in Fashion Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment Mode
8.2.3. By Category
8.2.4. By Application
8.2.5. By End User
9. South United States AI in Fashion Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment Mode
9.2.3. By Category
9.2.4. By Application
9.2.5. By End User
10. Market Dynamics
10.1. Drivers
10.2. Challenges
11. Market Trends & Developments
12. Competitive Landscape
12.1. Competition Outlook
12.2. Company Profiles
12.2.1. Company Details
12.2.1.1. Microsoft Corporation
12.2.1.2. International Business Machines Corp
12.2.1.3. Google Inc.
12.2.1.4. Amazon Web Component Inc
12.2.1.5. Facebook Inc
12.2.1.6. Adobe Inc
12.2.1.7. Oracle Corporation
12.2.1.8. Mad Street Den Inc.
12.2.1.9. Lily AI Inc
12.2.1.10. Stitch Fix Inc
13. Strategic Recommendations
14. About Us & Disclaimer