A Conceptual Maturity Framework for Digital Twin Technology Adoption and Scaling

Abstract

A Digital Twin is a dynamic virtual representation of a physical entity that mirrors its real-world counterpart through continuous, bi-directional data exchange. It promises to transform how organisations design, monitor, and improve complex systems, yet adoption remains uneven. Although use-cases have spread across smart cities, manufacturing, healthcare, energy, transportation, and supply chains, most implementations stay confined to a single site or use-case, and many never move beyond the pilot stage. Existing digital maturity models describe progress as a single linear staircase. This approach does not fit Digital Twin technology, which behaves as both an intelligent environment and a complex adaptive system. The literature therefore lacks a maturity model that connects early adoption to enterprise-wide and cross-organisational scaling, and it rarely treats the two as separate problems.

This paper proposes the Digital Twin Adoption-and-Scaling Maturity (DT-ASM) Framework, which conceptualises implementation as two interrelated but fundamentally different capability-building journeys. The Adoption Maturity ladder describes progression at the use-case level, from awareness through pilot selection, deployment and operational integration to routinised use. The Scaling Maturity ladder describes how the same organisation, with its ecosystem, moves from a single use-case through multi-asset replication, cross-domain federation, and ecosystem orchestration to a self-evolving industrial ecosystem. Four cross-cutting determinants shape both journeys: risk exposure, resource allocation cycles, ecosystem maturity, and organisational alignment. The framework is expressed as seven testable propositions with an operationalisation strategy providing a foundation for empirical validation and actionable guidance for industry leaders seeking a roadmap from experimentation to scalable deployment.