Digital twins are rapidly shifting from being exploratory to driving practical innovation in the infrastructure sector. They could be considered as infrastructure’s “smart sidekicks,” keeping watch, running simulations, and preventing costly surprises. Enabled by advances in IoT, AI, cloud computing, and geospatial technologies, digital twins can help professionals developing infrastructure to make more informed decisions throughout the asset lifecycle, from planning and design through operations—and eventually, dignified retirement (or recycling) for aging infrastructure. You can download the full white paper or read the executive summary below.
The Value Proposition
Communities expect infrastructure to be reliable, resilient, sustainable, and fiscally responsible. Digital twins respond to those demands by:
► Forecasting and modeling performance for stressors such as climate change
► Integrating siloed data to improve collaboration and decision making
► Monitoring real-time conditions to reduce failures and optimize operations
► Enhancing transparency and stakeholder engagement through visualization
► Reducing emissions, resource waste, and lifecycle costs
These capabilities align strongly with sustainability outcomes—making digital twins catalysts for better infrastructure governance and long-term value creation.
A Clear Sustainability Connection
The Envision Sustainable Infrastructure Framework provides the structure to quantify and validate the sustainability benefits that digital twins enable — including environmental stewardship, social equity, economic resilience, and strong governance. Mapping digital twin use cases to Envision categories demonstrates significant, proven value in climate resilience, resource efficiency, water management, safety, and public engagement — and emerging potential in equity and ecological metrics.
Current State of Adoption
Digital twins are most mature in design and operations, where real-time monitoring and simulation drive performance gains. Adoption in planning and construction is increasing, while end-of-life applications—like material recovery and circularity—remain underdeveloped. Currently, the three leading sectors in adoption are transportation, energy, and water.
Barriers Still Holding the Industry Back
To scale digital twins, the industry must address:
► Data interoperability challenges across systems and standards
► Upfront costs and unclear ROI in early phases
► A workforce skills gap in digital technologies
► Governance needs around cybersecurity, data ownership, and trust
Future Directions—The Opportunity
Digital twins can unlock more holistic sustainability outcomes when:
► Integrated from the earliest planning stages
► Extended across full asset lifecycles, including decommissioning
► Used for multidisciplinary coordination and transparency with communities
► Supported by shared platforms and supportive public policies
