Technological watch

Identify the most relevant VR/AR use cases

Identify, classify, organize, analyze

A constant watch

To facilitate the research of information, many tools exist that enables to collect relevant information. But this information is burried under a massive volume of data. And its lifespan is nevertheless quite short. At Laval Virtual, a Business Intelligence team identifies, classifies, organizes and analyzes the most relevant VR/AR use cases in your field of activity.

A wide but targeted range of watch

Many business sectors

Aeronautics, Food, Agriculture, Smart Cities, Real Estate & Architecture, Art & heritage, Automotive industry, Transports & mobility, Teaching & training, Health, Sports, High Tech/IT, Retail & Merchandising: the areas monitored by Laval Virtual are wide, but they all have one thing in common: virtual reality and augmented reality.

A knowledge to offer

The Business Intelligence team can then make an almost exhaustive list of all known uses by sector of activity. This accumulated and continuously updated knowledge allows us to take a step back from the new uses of immersive technologies but also to identify inter-sector links.

Do you want to know the VR/AR uses in your sector?

Some use cases spotted by Laval Virtual team


In the domain of health training, the Georgian College in Ontario in Canada has accelerated its experimental teaching content for emergency doctors and developed a learning by doing platform.


In the spatial industry, Boeing chose to use Varjo headsets to virtually train its astronauts to scenarios such as doacking at the ISS, the international spatial station: a real mission is planned for 2021.


The Universal Museum of Art in Paris has been offering a museum in virtual reality since 2017. By collaboratinf with cultural institutions, the UMA facilitates the access to art, familiarises the public with museums and makes the collections shine.

International sources

4000 articles analyzed

Thanks to a partnership with the SindUp platform, Laval Virtual has elaborated, with a team of research engineers from Arts et Métiers, algorithms that enables the identification of relevant topics. The Business Intelligence team then classifies and cures the subjects. This organisation then makes it possible to deliver more complex projects, ranging from the presentation of case studies with explanations and comments to complete surveys.