The advent of a 3D graphic paradigm has introduced a new class of Digital Twin simulations based on true-to-reality 3D asset attributes such as physical movement, material, light, and rendering.

These Digital Twins can be AI-enabled and/or AI enabling, enhancing the capabilities of real-world solutions based on decisions and actions accurately modeled within virtual 3D worlds.

While data requirements can vary by use case, a significant amount of the data can be 3D in nature. Digital Twin datasets will most likely be constituted from a blend of datatypes, such as architecture, product, process, real-world telemetry, and geospatial. These datasets will also likely be sourced from several sources, such as CAD, CAE, BIM, MES, PLM, GIS, IoT, and edge computing.

With the integration of technologies such as edge computing, industrial AI, and 3D Digital Twin, the nascent concept of the Industrial Metaverse (IM) is beginning to emerge. IM solutions can optimize processes and drive sustainable practices, helping to shape the future beyond simulations.