AI in Fashion Market Size to Rise USD 49.07 Billion by 2033

According to a recent research report titled “AI in Fashion Market (By Component: Solution, Services; By Deployment: Product Recommendation, Product Search and Discovery, Supply Chain Management and Demand Forecasting, Creative Designing and Trend Forecasting, Customer Relationship Management, Virtual Assistants; By Application: Cloud, On-premises; By Type: Apparel, Accessories, Footwear, Beauty and Cosmetics, Jewelry and Watches; By End-User) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024-2033″ published by Precedence Research, the global AI in fashion market size is projected to touch around USD 49.07 billion by 2033 and growing at a CAGR of 41% over the forecast period 2024 to 2033. This comprehensive study examines various factors and their impact on the growth of the AI in fashion market.

Key Points

• North America led the AI in the fashion market with the largest market size in 2023.
• Asia Pacific is expected to witness the fastest growth in the market during the forecast period.
• By component, the solution segment dominated the market in 2023.
• By deployment, the cloud segment is projected to witness the fastest rate of expansion during the forecast period.
• By application, the product recommendation segment dominated the market in 2023.
• By application, the product search and discovery segment is expected to witness the fastest rate of expansion during the forecast period.
• By type, the apparel segment dominated the market with the largest share in 2023.
• By type, the accessories segment is expected to grow at a significant rate during the forecast period.
• By end-user, the fashion designers segment led the market in 2023.

The report primarily focuses on the volume and value of the AI in fashion market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.

Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2021 to 2033, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.

Download a Free Copy of Our Latest Sample Report@ https://www.precedenceresearch.com/sample/3870

The research also highlights significant progressions in both organic and inorganic growth strategies within the global AI in fashion market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the AI in fashion market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.

AI in Fashion Market Scope

Also read:  IoT Sensors Market Size to Rake USD 312.22 Billion by 2033

Major Key Points Covered in the Report:

Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides an analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.

Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.

Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.

Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.

Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Market Key Players

The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the AI in fashion market.

AI in Fashion Market Companies

• Microsoft Corporation
• IBM Corporation
• Google Inc.
• Amazon Web Service Inc.
• SAP AG
• Lily AI
• Oracle Corporation
• Catchoom
• Heuritch

Segments Covered in the Report

By Component

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

By Deployment

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

By Application

• Cloud
• On-premises

By Type

• Apparel
• Accessories
• Footwear
• Beauty and Cosmetics
• Jewelry and Watches

By End-User

• Fashion Designers
• Fashion Stores

By Geography

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

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Fashion Market 

5.1. COVID-19 Landscape: AI in Fashion Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Fashion Market, By Component

8.1. AI in Fashion Market, by Component, 2024-2033

8.1.1. Solution

8.1.1.1. Market Revenue and Forecast (2021-2033)

8.1.2. Software Tools

8.1.2.1. Market Revenue and Forecast (2021-2033)

8.1.3. Platforms

8.1.3.1. Market Revenue and Forecast (2021-2033)

8.1.4. Services

8.1.4.1. Market Revenue and Forecast (2021-2033)

8.1.5. Training and Consulting

8.1.5.1. Market Revenue and Forecast (2021-2033)

8.1.6. System Integration and Testing

8.1.6.1. Market Revenue and Forecast (2021-2033)

8.1.7. Support and Maintenance

8.1.7.1. Market Revenue and Forecast (2021-2033)

Chapter 9. Global AI in Fashion Market, By Deployment

9.1. AI in Fashion Market, by Deployment, 2024-2033

9.1.1. Product Recommendation

9.1.1.1. Market Revenue and Forecast (2021-2033)

9.1.2. Product Search and Discovery

9.1.2.1. Market Revenue and Forecast (2021-2033)

9.1.3. Supply Chain Management and Demand Forecasting

9.1.3.1. Market Revenue and Forecast (2021-2033)

9.1.4. Creative Designing and Trend Forecasting

9.1.4.1. Market Revenue and Forecast (2021-2033)

9.1.5. Customer Relationship Management

9.1.5.1. Market Revenue and Forecast (2021-2033)

9.1.6. Virtual Assistants

9.1.6.1. Market Revenue and Forecast (2021-2033)

Chapter 10. Global AI in Fashion Market, By Application 

10.1. AI in Fashion Market, by Application, 2024-2033

10.1.1. Cloud

10.1.1.1. Market Revenue and Forecast (2021-2033)

10.1.2. On-premises

10.1.2.1. Market Revenue and Forecast (2021-2033)

Chapter 11. Global AI in Fashion Market, By Type

11.1. AI in Fashion Market, by Type, 2024-2033

11.1.1. Apparel

11.1.1.1. Market Revenue and Forecast (2021-2033)

11.1.2. Accessories

11.1.2.1. Market Revenue and Forecast (2021-2033)

11.1.3. Footwear

11.1.3.1. Market Revenue and Forecast (2021-2033)

11.1.4. Beauty and Cosmetics

11.1.4.1. Market Revenue and Forecast (2021-2033)

11.1.5. Jewelry and Watches

11.1.5.1. Market Revenue and Forecast (2021-2033)

Chapter 12. Global AI in Fashion Market, By End-User

12.1. AI in Fashion Market, by End-User, 2024-2033

12.1.1. Fashion Designers

12.1.1.1. Market Revenue and Forecast (2021-2033)

12.1.2. Fashion Stores

12.1.2.1. Market Revenue and Forecast (2021-2033)

Chapter 13. Global AI in Fashion Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2021-2033)

13.1.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.1.3. Market Revenue and Forecast, by Application (2021-2033)

13.1.4. Market Revenue and Forecast, by Type (2021-2033)

13.1.5. Market Revenue and Forecast, by End-User (2021-2033)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2021-2033)

13.1.6.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.1.6.3. Market Revenue and Forecast, by Application (2021-2033)

13.1.6.4. Market Revenue and Forecast, by Type (2021-2033)

13.1.6.5. Market Revenue and Forecast, by End-User (2021-2033)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component (2021-2033)

13.1.7.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.1.7.3. Market Revenue and Forecast, by Application (2021-2033)

13.1.7.4. Market Revenue and Forecast, by Type (2021-2033)

13.1.7.5. Market Revenue and Forecast, by End-User (2021-2033)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2021-2033)

13.2.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.2.3. Market Revenue and Forecast, by Application (2021-2033)

13.2.4. Market Revenue and Forecast, by Type (2021-2033)

13.2.5. Market Revenue and Forecast, by End-User (2021-2033)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2021-2033)

13.2.6.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.2.6.3. Market Revenue and Forecast, by Application (2021-2033)

13.2.7. Market Revenue and Forecast, by Type (2021-2033)

13.2.8. Market Revenue and Forecast, by End-User (2021-2033)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2021-2033)

13.2.9.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.2.9.3. Market Revenue and Forecast, by Application (2021-2033)

13.2.10. Market Revenue and Forecast, by Type (2021-2033)

13.2.11. Market Revenue and Forecast, by End-User (2021-2033)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2021-2033)

13.2.12.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.2.12.3. Market Revenue and Forecast, by Application (2021-2033)

13.2.12.4. Market Revenue and Forecast, by Type (2021-2033)

13.2.13. Market Revenue and Forecast, by End-User (2021-2033)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2021-2033)

13.2.14.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.2.14.3. Market Revenue and Forecast, by Application (2021-2033)

13.2.14.4. Market Revenue and Forecast, by Type (2021-2033)

13.2.15. Market Revenue and Forecast, by End-User (2021-2033)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2021-2033)

13.3.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.3.3. Market Revenue and Forecast, by Application (2021-2033)

13.3.4. Market Revenue and Forecast, by Type (2021-2033)

13.3.5. Market Revenue and Forecast, by End-User (2021-2033)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2021-2033)

13.3.6.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.3.6.3. Market Revenue and Forecast, by Application (2021-2033)

13.3.6.4. Market Revenue and Forecast, by Type (2021-2033)

13.3.7. Market Revenue and Forecast, by End-User (2021-2033)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2021-2033)

13.3.8.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.3.8.3. Market Revenue and Forecast, by Application (2021-2033)

13.3.8.4. Market Revenue and Forecast, by Type (2021-2033)

13.3.9. Market Revenue and Forecast, by End-User (2021-2033)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2021-2033)

13.3.10.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.3.10.3. Market Revenue and Forecast, by Application (2021-2033)

13.3.10.4. Market Revenue and Forecast, by Type (2021-2033)

13.3.10.5. Market Revenue and Forecast, by End-User (2021-2033)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2021-2033)

13.3.11.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.3.11.3. Market Revenue and Forecast, by Application (2021-2033)

13.3.11.4. Market Revenue and Forecast, by Type (2021-2033)

13.3.11.5. Market Revenue and Forecast, by End-User (2021-2033)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2021-2033)

13.4.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.4.3. Market Revenue and Forecast, by Application (2021-2033)

13.4.4. Market Revenue and Forecast, by Type (2021-2033)

13.4.5. Market Revenue and Forecast, by End-User (2021-2033)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2021-2033)

13.4.6.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.4.6.3. Market Revenue and Forecast, by Application (2021-2033)

13.4.6.4. Market Revenue and Forecast, by Type (2021-2033)

13.4.7. Market Revenue and Forecast, by End-User (2021-2033)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2021-2033)

13.4.8.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.4.8.3. Market Revenue and Forecast, by Application (2021-2033)

13.4.8.4. Market Revenue and Forecast, by Type (2021-2033)

13.4.9. Market Revenue and Forecast, by End-User (2021-2033)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2021-2033)

13.4.10.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.4.10.3. Market Revenue and Forecast, by Application (2021-2033)

13.4.10.4. Market Revenue and Forecast, by Type (2021-2033)

13.4.10.5. Market Revenue and Forecast, by End-User (2021-2033)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2021-2033)

13.4.11.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.4.11.3. Market Revenue and Forecast, by Application (2021-2033)

13.4.11.4. Market Revenue and Forecast, by Type (2021-2033)

13.4.11.5. Market Revenue and Forecast, by End-User (2021-2033)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2021-2033)

13.5.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.5.3. Market Revenue and Forecast, by Application (2021-2033)

13.5.4. Market Revenue and Forecast, by Type (2021-2033)

13.5.5. Market Revenue and Forecast, by End-User (2021-2033)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2021-2033)

13.5.6.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.5.6.3. Market Revenue and Forecast, by Application (2021-2033)

13.5.6.4. Market Revenue and Forecast, by Type (2021-2033)

13.5.7. Market Revenue and Forecast, by End-User (2021-2033)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2021-2033)

13.5.8.2. Market Revenue and Forecast, by Deployment (2021-2033)

13.5.8.3. Market Revenue and Forecast, by Application (2021-2033)

13.5.8.4. Market Revenue and Forecast, by Type (2021-2033)

13.5.8.5. Market Revenue and Forecast, by End-User (2021-2033)

Chapter 14. Company Profiles

14.1. Microsoft Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. IBM Corporation

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Google Inc.

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Amazon Web Service Inc.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. SAP AG

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Lily AI

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Oracle Corporation

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Catchoom

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Heuritch

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

Why should you invest in this report?

This report presents a compelling investment opportunity for those interested in the global AI in fashion market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for AI in fashion. Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2024-2033. Armed with this knowledge, you can strategically plan your market entry approaches.

Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.

Some of the key questions answered in this report:       

• What is the size of the overall AI in fashion market and its segments?
• What are the key segments and sub-segments in the market?
• What are the key drivers, restraints, opportunities and challenges of the AI in fashion market and how they are expected to impact the market?
• What are the attractive investment opportunities within the AI in fashion market?
• What is the AI in fashion market size at the regional and country-level?
• Who are the key market players and their key competitors?
• What are the strategies for growth adopted by the key players in AI in fashion market?
• What are the recent trends in AI in fashion market? (M&A, partnerships, new product developments, expansions)?
• What are the challenges to the AI in fashion market growth?
• What are the key market trends impacting the growth of AI in fashion market?

Contact Us:

Mr. Alex

Sales Manager

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

Web: https://www.precedenceresearch.com

Blog: https://www.pharma-geek.com

---