Digital twins: Powering the Enterprise Metaverse

Summary

Enthusiasm for a consumer metaverse cooled sharply after the 2022 crypto winter, as Web3 funding dried up and virtual land prices retreated from their speculative highs. Even Apple's entry into spatial computing with the Vision Pro failed to reignite mass consumer interest, given the steep price of mixed-reality hardware. Yet enterprises are quietly building a parallel version of this technology stack, and digital twins sit at its center.

Rather than avatars socializing in virtual worlds, the enterprise metaverse is about replicating physical assets, people, processes, and transactions inside interconnected virtual environments. Enabled by virtual and augmented reality, artificial intelligence, and related emerging technologies, digital twins let organizations simulate outcomes before committing resources in the physical world — from product managers testing app-feature changes to senior leadership modeling growth trajectories across investment scenarios.

This shift reframes where near-term value from immersive technology actually lies. Instead of waiting for consumers to embrace headsets and virtual goods at scale, industries spanning manufacturing, retail, logistics, and financial services are exploring how digital twin simulations can de-risk decisions, shorten planning cycles, and surface insights that static dashboards cannot.

• Use cases across product design, operations, and workforce planning
• Underlying technologies: VR/AR, AI, and data-driven simulation
• Barriers still facing enterprise-wide adoption

The pattern that emerges challenges a common assumption about how transformative technologies typically take hold.

Must the metaverse win over consumers first, or can enterprises prove its value before anyone puts on a headset?