Overview
ISO/IEC 30186:2025 - "Digital twin - Maturity model and guidance for a maturity assessment" defines a generic digital twin maturity model, the structure and assessment indicators, and practical guidance for conducting a maturity assessment. Published jointly by ISO and IEC (JTC1/SC41), the standard helps organizations evaluate how advanced their digital twins are and plan evolution steps. It is intentionally generic and applicable across industries; an informative annex provides an example assessment for a power-plant digital twin.
Key topics and technical requirements
- Maturity model structure: Defines maturity in terms of distinct aspects and levels. The model supports a structured assessment to determine current maturity and to guide advancement.
- Five core aspects: Convergence, Capability, Integrated view, Time, and Trustworthiness. These aspects form the basis of maturity evaluation:
- Convergence aspect - correlation between physical states and digital states.
- Capability aspect - ability to reflect and predict target-entity behaviour.
- Integrated view aspect - support for user tasks across lifecycle stages and cross-team collaboration.
- Time aspect - management of temporal information for digital twins.
- Trustworthiness aspect - measures of security, reliability and conformance across the lifecycle.
- Assessment indicators: Clause 6 defines the structure and content of indicators (see Table 6 in the document) and provides specific indicator sets for each aspect (Tables 7–11). These indicators enable repeatable, evidence-based assessments.
- Requirements for assessment: Clause 7 outlines requirements and guidance for conducting maturity assessments (scoping, evidence collection, scoring and reporting).
- Normative references: The standard references ISO/IEC 30173 for core digital twin concepts and terminology.
Practical applications
- Use ISO/IEC 30186:2025 to:
- Benchmark digital twin implementations against a common maturity model.
- Identify strengths and gaps (e.g., trustworthiness or temporal modelling) to prioritize investments.
- Support architectural planning for federated or interoperable digital twin ecosystems.
- Provide a consistent assessment approach for procurement, vendor evaluation, or internal transformation roadmaps.
- The document’s annexed case study (KOEN power digital twin) illustrates practical application of the model and recommendations.
Who should use this standard
- Digital transformation leaders, system architects, IoT and digital twin engineers
- Asset owners and operators (manufacturing, energy, transport)
- System integrators and solution vendors
- Assurance teams and program managers assessing readiness and roadmap planning
Related standards
- ISO/IEC 30173 - Digital twin: Concepts and terminology (normative reference)
- Other ISO/IEC and sector standards on IoT, cybersecurity and data management may complement assessments.
Keywords: ISO/IEC 30186:2025, digital twin maturity model, maturity assessment, assessment indicators, convergence, capability, integrated view, time aspect, trustworthiness.