The global Virtual Fitting Room market was valued at USD 2.08 billion in 2019 and is expected to reach USD 8.59 billion by the year 2026, at a CAGR of 22.68%.
The Global “Virtual Fitting Room Market” research report provides a detailed overview of the industry, including qualitative and quantitative information. It provides overviews and forecasts for the global Virtual Fitting Room market based on various segments. It also provides market size and forecast estimates for five major regions for 2021 to 2027 namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA) and South America. The markets for each region are later broken down by country and sector. This report covers the analysis and forecasts of 18 countries around the world and the main trends and opportunities in the region.
The Virtual Fitting Room is the online equivalent of an offline store's changing room where you can try different clothes, shoes and other wearables to see if you have the right clothes. Some virtual fitting rooms come as an Android / iPhone app in which you can upload your image or give your description and then it creates an online avatar for you. The innovation took the form of a mirror (-0-inch screen) where users could stand in front of it and then look at different outfits from jumpers, dresses, trousers and more. As someone moved, so did their image. The final view was then saved and sent to the client's email so that it could be shared on other social media platforms. Another copy was posted on Timberland's Fan Page Gallery. The virtual dressing room will be online, and all your buyers will be interacting with it at the same time.
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Leading players involved in the Virtual Fitting Room Market includes:
Zugara, Visualook, Metail, Fitnect, Reactive Reality, Total Immersion, Dressformer, Coitor IT Tech, Virtusize, True Fit Corporation, Sizebay, Imaginate Technologies, ELSE Corp, Fit Analytics
In addition to recent developments, this study examines current market trends related to demand, supply and sales. Key drivers, restraints and opportunities have been covered to provide a thorough picture of the market. The analysis provides in-depth information on developments, trends, industry policies and regulations implemented in each region. It has also thoroughly covered the overall regulatory framework of the market, giving stakeholders a better understanding of the key factors influencing the overall market environment.
The analysis also divides the Virtual Fitting Room Market on the grounds of main Product Type:
The analysis also divides the Virtual Fitting Room Market By Use Cases:
- Eye Wear,
- Beauty & Cosmetics
Following regions are highlighted 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, with Covid-19, retailers are turning to virtual dressing rooms as an option for their customers. The virtual dressing room allows the user to upload their own video and then present an enhanced reality image of the person modeling the object from the perspective.Some areas of the retail industry are already embracing augmented reality dressing rooms, especially the cosmetics and jewelry industries. But many more retail areas are adopting virtual dressing rooms, and epidemics have greatly accelerated the process.
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Advantages of Virtual Fitting Room market is :
The most obvious advantage of a virtual dressing room is the ability for customers to sample and model products remotely. But for this to be beneficial, the AR rendering must be realistic enough to be useful. If the user does not feel comfortable with the image they are looking at, the virtual dressing room fails.
Fortunately, the science of capturing the human body and presenting it in a virtual environment is such that engineers and developers are spending huge amounts of time and resources. While virtual dressing rooms may not be the most important or economical use of this process, we reap the rewards of that development and innovation.
Implementing artificial intelligence 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 increasing clarity and accuracy.
This leads us to the point where the average shopper considers the virtual dressing room to be roughly equivalent to the quality of the physical experience. Once you reach that criterion the traditional dressing room is almost completely obsolete.
The report also covers in-depth description, competitive scenario, wide product portfolio of prime players active in this market and business strategies adopted by competitors along with their SWOT analysis.
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