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Virtual Fitting Room (VFR) Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Publisher Fortune Business Insights Pvt. Ltd.
Published Nov 01, 2024
Length 126 Pages
SKU # FOB19326488

Description

Virtual Fitting Room (VFR) Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Virtual Fitting Room Market

The virtual fitting room market size was valued at USD 4.79 billion in 2023, and the market is now projected to grow from USD 5.71 billion in 2024 to USD 25.11 billion by 2032, exhibiting a CAGR of 20.3% during the forecast period of 2024-2032.

The COVID-19 pandemic has provided a great avenue for the virtual fitting room market growth. The shutdown of shops and lack of delivery of items has affected demand for the product. However, worldwide e-commerce sales increased since many consumers adopted digital and virtual methods of payments and for other activities. Companies across the world are remodeling their off-store retail business to online business has increased demand for the system.

The virtual fitting room market share globally has augmented because of the rising utilization of mobile shopping. The clothing retailers are drawing the attention of the audience by offering trial experience on mobile devices to increase their sales. Through these applications they display their company products quickly and interactively to customers. They provide clients with personalized avatars and 3D visualization to offer enhanced shopping experience.

The trend is rising in the number of online shoppers to fuel the growth of virtual try-on. App based body scanning technology is transforming and influencing businesses. Trade utilizes two shopper photos for collecting body measurements remotely and assists them with solutions for instance Mobile Tailor. In the same way, the YourFit solution facilitates fashion e-commerce sizing issues and suggests clients with their ideal fit. These services are attracting many end-users which are enhancing the market growth.

Comprehensive Analysis of Virtual Fitting Room Market

The virtual fitting room market and information & communication technology industry is rising at an exponential rate due to its market segmentation. This market expansion effectively provides a thorough regional assessment considering the dominant supply and demand forces that impact the information & communication technology industry. These segmentations are methodically segregated by type, application, and end-use. The types comprise in-store virtual mirrors, sizing surveys backed by 3D body data, and app-based body scanners. The applications are apparel, eyewear, cosmetic & beauty products, jewelry & watches, and others. The end-use contains virtual/e-commerce stores and brick-and-mortar stores.

The North American region is conducive to the global virtual fitting room market, leading to a recall of USD 1.87 billion owing to increasing implementation of Augmented Reality, Virtual Reality, and AI technology in the region.

The top players in the market play a crucial role in the information & communication technology industry assuring industrial prospectus growth and setting market standards. These players are Fit Analytics (Snapchat) (Germany), Else Corp (Italy), FX Gear Inc. (South Korea), Sensemi DMCC (UAE), Magic Mirror (U.K.), MeMo Labs Inc. (U.S.), 3DLOOK Inc. (U.S.), Zugara, Inc. (U.S.), Visual Look (Spain), triMirror (U.S.), market players provide a level-playing competitive landscape.

In May 2022, Snapchat introduced new AR tools for online shopping. It has also worked in partnership with brands such as Gucci and American Eagle to create VR experiences for shoppers.

Segmentation Table

Global Virtual Fitting Room Market Scope

ATTRIBUTE

DETAILS

Study Period

2019–2032

Base Year

2023

Estimated Year

2024

Forecast Period

2024–2032

Historical Period

2019–2022

Growth Rate

CAGR of 20.3% from 2024 to 2032

Unit

Value (USD billion)

Segmentation

By Type

In-store Virtual Mirrors

App-based Body Scanners

Sizing Surveys Backed by 3D Body Data

By Application

Apparel

Eyewear

Cosmetic & Beauty Products

Jewelry & Watches

Others (Footwear)

By End-use

Brick-and-Mortar Stores

Virtual/E-commerce Stores

By Region

North America (By Type, By Application, By End-use, and By Country)

U.S. (By Application)

Canada (By Application)

Europe (By Type, By Application, By End-use, and By Country)

U.K. (By Application)

Germany (By Application)

France (By Application)

Italy (By Application)

Rest of Europe

Asia Pacific (By Type, By Application, By End-use, and By Country)

China (By Application)

Japan (By Application)

India (By Application)

Singapore (By Application)

Rest of Asia Pacific

Middle East & Africa (By Type, By Application, By End-use, and By Country)

GCC (By Application)

South Africa (By Application)

Rest of Middle East & Africa

Latin America (By Type, By Application, By End-use, and By Country)

Brazil (By Application)

Mexico (By Application)

Rest of Latin AmericaPlease Note: It will take 5-6 business days to complete the report upon order confirmation.

Table of Contents

126 Pages
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Virtual Fitting Room Key Players Market Share/Ranking, 2023
5. Global Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Type (USD)
5.2.1. In-store Virtual Mirrors
5.2.2. App-based Body Scanners
5.2.3. Sizing Surveys Backed by 3D Body Data
5.3. By Application (USD)
5.3.1. Apparel
5.3.2. Eyewear
5.3.3. Cosmetic & Beauty Products
5.3.4. Jewelry & Watches
5.3.5. Others (Footwear, etc.)
5.4. By End-use (USD)
5.4.1. Brick-and-Mortar Stores
5.4.2. Virtual/e-commerce Stores
5.5. By Region (USD)
5.5.1. North America
5.5.2. Europe
5.5.3. Asia Pacific
5.5.4. Middle East & Africa
5.5.5. Latin America
6. North America Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Type (USD)
6.2.1. In-store Virtual Mirrors
6.2.2. App-based Body Scanners
6.2.3. Sizing Surveys Backed by 3D Body Data
6.3. By Application (USD)
6.3.1. Apparel
6.3.2. Eyewear
6.3.3. Cosmetic & Beauty Products
6.3.4. Jewelry & Watches
6.3.5. Others (Footwear, etc.)
6.4. By End-use (USD)
6.4.1. Brick-and-Mortar Stores
6.4.2. Virtual/e-commerce Stores
6.5. By Country (USD)
6.5.1. United States
6.5.1.1. By Application
6.5.2. Canada
6.5.2.1. By Application
7. Europe Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Type (USD)
7.2.1. In-store Virtual Mirrors
7.2.2. App-based Body Scanners
7.2.3. Sizing Surveys Backed by 3D Body Data
7.3. By Application (USD)
7.3.1. Apparel
7.3.2. Eyewear
7.3.3. Cosmetic & Beauty Products
7.3.4. Jewelry & Watches
7.3.5. Others (Footwear, etc.)
7.4. By End-use (USD)
7.4.1. Brick-and-Mortar Stores
7.4.2. Virtual/e-commerce Stores
7.5. By Country (USD)
7.5.1. United Kingdom
7.5.1.1. By Application
7.5.2. Germany
7.5.2.1. By Application
7.5.3. France
7.5.3.1. By Application
7.5.4. Italy
7.5.4.1. By Application
7.5.5. Rest of Europe
8. Asia Pacific Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Type (USD)
8.2.1. In-store Virtual Mirrors
8.2.2. App-based Body Scanners
8.2.3. Sizing Surveys Backed by 3D Body Data
8.3. By Application (USD)
8.3.1. Apparel
8.3.2. Eyewear
8.3.3. Cosmetic & Beauty Products
8.3.4. Jewelry & Watches
8.3.5. Others (Footwear, etc.)
8.4. By End-use (USD)
8.4.1. Brick-and-Mortar Stores
8.4.2. Virtual/e-commerce Stores
8.5. By Country (USD)
8.5.1. China
8.5.1.1. By Application
8.5.2. Japan
8.5.2.1. By Application
8.5.3. India
8.5.3.1. By Application
8.5.4. Singapore
8.5.4.1. By Application
8.5.5. Rest of Asia Pacific
9. Middle East & Africa Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Type (USD)
9.2.1. In-store Virtual Mirrors
9.2.2. App-based Body Scanners
9.2.3. Sizing Surveys Backed by 3D Body Data
9.3. By Application (USD)
9.3.1. Apparel
9.3.2. Eyewear
9.3.3. Cosmetic & Beauty Products
9.3.4. Jewelry & Watches
9.3.5. Others (Footwear, etc.)
9.4. By End-use (USD)
9.4.1. Brick-and-Mortar Stores
9.4.2. Virtual/e-commerce Stores
9.5. By Country (USD)
9.5.1. GCC
9.5.1.1. By Application
9.5.2. South Africa
9.5.2.1. By Application
9.5.3. Rest of MEA
10. Latin America Virtual Fitting Room Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Type (USD)
10.2.1. In-store Virtual Mirrors
10.2.2. App-based Body Scanners
10.2.3. Sizing Surveys Backed by 3D Body Data
10.3. By Application (USD)
10.3.1. Apparel
10.3.2. Eyewear
10.3.3. Cosmetic & Beauty Products
10.3.4. Jewelry & Watches
10.3.5. Others (Footwear, etc.)
10.4. By End-use (USD)
10.4.1. Brick-and-Mortar Stores
10.4.2. Virtual/e-commerce Stores
10.5. By Country (USD)
10.5.1. Brazil
10.5.1.1. By Application
10.5.2. Mexico
10.5.2.1. By Application
10.5.3. Rest of Latin America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Else Corp.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Fit Analytics (Snapchat)
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. FX Gear Inc.
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Magic Mirror
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. MeMo Labs Inc.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. 3DLOOK Inc.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Zugara, Inc.
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Visual Look
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. triMirror
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Sensemi DMCC
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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