VR data visualization software allows users to experience aggregated data in a virtual environment. Data visualization enables users to see analytics presented visually so they may fully understand what the data is communicating. VR data visualization is used across multiple industries, allowing engineers, designers, and other professionals to work with real-time data. Users can virtually walk into their data and study it from every perspective. With the 360-degree sphere that VR offers, users have an endless amount of space to display data. Bringing VR into data analytics enables colleagues in various locations to collaborate on work simultaneously. These tools should not be confused with AR visualization software, which allows consumers to view a digitally created image in a real environment.
To qualify for inclusion in the VR Visualization category, a product must:
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Mechdyne’s CAVE2 technology serves as both working environment and collaborative tool, providing the space and capabilities for project teams to accomplish any goal. Stretching eight feet tall and covering 530 square feet, the CAVE2 provides a 320-degree workspace that easily presents all kinds of data – from 3D simulations to 2D information. The CAVE2’s ability to present in “Hybrid” mode—allowing users to independently control both 2D and 3D within the space—truly makes this the next-generation, virtual reality technology solution.
TechViz XL is a virtual prototyping software and a unique technology that instantaneously displays in 1:1 scale any 3D CAD models from Autodesk Navisworks, Siemens NX, PTC Creo, Alias, Unity and many more, on any type of stereo display system such as Powerwall and Immersive Room.
Visionary Render has been designed to foster working alone, in small groups, or collaborating with distant colleagues in a common virtual environment. Its adaptability as a rapid, decision-making platform means that performing detailed design reviews, rehearsing in-depth training tasks, validating maintenance procedures or verifying assembly and manufacturing processes become enterprise wide.