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Model-Based Workflows
The geospatial industry is moving toward object-first vs. geometry-first thinking.
Businesses no longer are staking a point, line and polygon, but rather are using objects
(e.g., bridge pylons, walls or slabs) with their associated properties and attributes.
This model-based information and parametric or intelligent data – in which data has context
beyond its XYZ location – enable powerful, connected digital environments, including digital
twins and building information modeling (BIM). This empowers users in the field to employ
large-scale models with better graphical and 2D/3D map interfaces, beneficially moving
some of the office processing and decision-making directly to worksites.
Digital twins: Much more than look-alikes
Think of digital twins as more than 3D models or simulations. They're actually dynamic,
digital replicas of physical objects, processes or systems that provide up-to-real-time
status and performance monitoring from sensors and observations. Being able to see and
even manipulate "the real thing" at any time is revolutionizing decision-making processes,
planning and predictive capabilities.
Projected revenue associated
with digital twins by 2026,
with a ~$25 billion total addressable
market for the geospatial industry.
* Fortune Business Insights Geospatial Analytics
Market Report
$45B
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