The future

From copies of things
to copies of everything.

Twins are getting smarter, more visual, and vastly bigger — from a single pump, to a human body, to the whole planet. Four directions worth watching.

1 · AI-native & generative twins

Generative AI and digital twins reinforce each other: AI helps build and query the twin, while the twin gives AI real, grounded context to reason over. Together they cut the time to stand up a working model.

McKinsey calls the pairing "a powerful pairing" · Gartner expects "intelligent simulation" to underpin 25%+ of strategic decisions by 2032.

2 · The industrial metaverse

Persistent, photoreal, physics-accurate virtual factories and plants that teams walk through together. This is the vision behind BMW's virtual factory — and it is already being used to visualise assets of astonishing scale.

Siemens + NVIDIA showed a twin of an LNG carrier with over 7 million discrete parts.

3 · Human digital twins

Patient-specific twins of organs — and eventually whole bodies — let doctors test a drug or a surgery in simulation first. Dassault's Living Heart and Siemens Healthineers' heart twin lead the way, and the FDA is opening the door to "in-silico" evidence.

A 2024 npj Digital Medicine review maps the fast-growing field of "digital twins for health".

4 · A twin of the entire Earth

The most ambitious of all. The EU's Destination Earth (DestinE) is building a highly-accurate digital twin of the planet to model climate change and extreme weather; NVIDIA's Earth-2 does the same in the private sector, generating forecasts far faster than traditional models.

DestinE launched its first system in June 2024 with over €300M of EU funding, aiming for a full Earth twin by 2030.
The moonshot

Modelling the whole planet

Destination Earth is a flagship of the European Commission, built by ECMWF, ESA and EUMETSAT. Its first two twins cover weather-induced extremes and climate-change adaptation — so policymakers can test the impact of a decision on a simulated Earth before living it on the real one. It is the digital-twin idea at its largest possible scope.

Earth from space
Earth from Apollo 17 · NASA · Public Domain
Who builds them

The main platforms

You rarely build a twin from scratch. These are the major platforms that supply the modelling, simulation and data plumbing.

NVIDIA Omniverse

GPU platform (OpenUSD) for building industrial twin & simulation apps.

Siemens Xcelerator

Industrial software portfolio — Teamcenter (PLM) + Simcenter (simulation).

Microsoft Azure Digital Twins

PaaS to build "twin graphs" of buildings, factories and cities.

AWS IoT TwinMaker

Builds twins from existing IoT, video and enterprise data.

Ansys Twin Builder

Simulation-based twins (reduced-order models) for predictive maintenance.

Dassault 3DEXPERIENCE

"Virtual Twin" of products and processes, incl. the Living Heart.

Bentley iTwin

Open cloud platform for infrastructure digital twins.

GE Vernova

Asset, grid & process twins (the former GE Digital / Predix).

The concept is fixed; the scope keeps growing.

A live virtual copy, kept in sync by data, that you can test and predict on. That definition hasn't changed — but the "thing" it copies has gone from a turbine blade to a planet. Back to the start →