The Global "VirtualFitting Room Market" researchreport provides a detailed overview of the industry, including qualitativeand quantitative information. It provides overviews and forecasts for theglobal Virtual Fitting Room market based on various segments. Italso provides market size and forecast estimates for five major regions for2021 to 2027 namely, North America, Europe, Asia Pacific (APAC), Middle Eastand Africa (MEA) and South America. The markets for each region are laterbroken down by country and sector. This report covers the analysis andforecasts of 18 countries around the world and the main trends andopportunities in the region.
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The Virtual Fitting Roomis the online equivalent of an offline store's changing room where you can trydifferent clothes, shoes and other wearables to see if you have the rightclothes. Some virtual fitting rooms come as an Android / iPhone app in whichyou can upload your image or give your description and then it creates anonline avatar for you. The innovation took the form of a mirror (-0-inchscreen) where users could stand in front of it and then look at differentoutfits from jumpers, dresses, trousers and more. As someone moved, so didtheir image. The final view was then saved and sent to the client's email sothat it could be shared on other social media platforms. Another copy wasposted on Timberland's Fan Page Gallery. The virtual dressing room will beonline, and all your buyers will be interacting with it at the same time.
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Leading players involvedin the Virtual Fitting Room Market includes:
Zugara, Visualook,Metail, Fitnect, Reactive Reality, Total Immersion, Dressformer, Coitor ITTech, Virtusize, True Fit Corporation, Sizebay, Imaginate Technologies, ELSECorp, Fit Analytics
In addition to recentdevelopments, this study examines current market trends related to demand,supply and sales. Key drivers, restraints and opportunities have been coveredto provide a thorough picture of the market. The analysis provides in-depthinformation on developments, trends, industry policies and regulationsimplemented in each region. It has also thoroughly covered the overallregulatory framework of the market, giving stakeholders a better understandingof the key factors influencing the overall market environment.
The analysis alsodivides the Virtual Fitting Room Market on the grounds of main Product Type:
- Hardware
- Software
- Services
The analysis alsodivides the Virtual Fitting Room Market By Use Cases:
- Apparel,
- Jewelry,
- Eye Wear,
- Watches
- Beauty & Cosmetics
Following regions arehighlighted in this report:
- North America (United States, Canada and Mexico),
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, etc.)
- Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)
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Increasingly, withCovid-19, retailers are turning to virtual dressing rooms as an option fortheir customers. The virtual dressing room allows the user to upload theirown video and then present an enhanced reality image of the person modeling theobject from the perspective.Some areas of the retail industry are alreadyembracing augmented reality dressing rooms, especially the cosmetics andjewelry industries. But many more retail areas are adopting virtual dressingrooms, and epidemics have greatly accelerated the process.
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Advantages of VirtualFitting Room market is :
The most obviousadvantage of a virtual dressing room is the ability for customers to sample andmodel products remotely. But for this to be beneficial, the AR rendering mustbe realistic enough to be useful. If the user does not feel comfortable withthe image they are looking at, the virtual dressing room fails.
Fortunately, the scienceof capturing the human body and presenting it in a virtual environment is suchthat engineers and developers are spending huge amounts of time and resources.While virtual dressing rooms may not be the most important or economical use ofthis process, we reap the rewards of that development and innovation.
Implementing artificialintelligence in the video capture and rendering process is a real game-changer.Deep learning algorithms can predict and display the user's entire body, face,head, arms, legs or any other specific body area with rapidly increasingclarity and accuracy.
This leads us to thepoint where the average shopper considers the virtual dressing room to beroughly equivalent to the quality of the physical experience. Once you reachthat criterion the traditional dressing room is almost completely obsolete.
The report also coversin-depth description, competitive scenario, wide product portfolio of primeplayers active in this market and business strategies adopted by competitorsalong with their SWOT analysis.
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