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Asset Twins for Utilities Market Growth Potential: How Will Market Size Change Through 2030?
The asset twins for utilities market size has experienced considerable expansion in recent years. Its valuation is forecast to ascend from $2.23 billion in 2025 to $2.67 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 20.1%. The historical surge in this market is largely attributable to factors such as elevated investments in utility infrastructure modernization, the spread of smart grid deployments, an escalating requirement for operational visibility, the increasing acceptance of asset performance management tools, and enhancements in data integration technologies.
The asset twins for utilities market size is projected to experience substantial growth in the coming years, predicted to reach $5.61 billion by 2030 with a compound annual growth rate (CAGR) of 20.4%. This expansion during the forecast period is fueled by several factors, including a heightened focus on predictive maintenance strategies, increased investments in integrating renewable energy, broader use of advanced grid analytics, a greater emphasis on infrastructure resilience, and the rising uptake of cloud-native utility platforms. Key trends anticipated over this period involve the wider adoption of predictive asset monitoring platforms, a surge in the deployment of real-time utility digital twins, increased integration of IoT sensor networks, the proliferation of cloud-based asset twin platforms, and an intensified focus on grid reliability and resilience.
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Asset Twins for Utilities Market Growth Factors Supporting Long-Term Expansion
The growing adoption of the internet of things is set to drive the expansion of the asset twins for utilities market. The internet of things (IoT) comprises a network of connected devices that autonomously gather, share, and act on data over the internet. Its growth is fueled by increasing demand for smart, integrated systems that enable automation, real-time monitoring, and improved efficiency. Asset twins for utilities enhance IoT by creating digital replicas of physical utility assets, facilitating real-time oversight, predictive maintenance, and optimized operations through connected sensors and data analytics. A pertinent example is the report by the European Commission, a Belgium-based governing body, in July 2025, stating that approximately 40 billion IoT-connected devices were installed in 2023, with projections to reach 49 billion by 2026, indicating an annual growth rate of 7%. Thus, the expanding uptake of the Internet of Things is a key driver for the asset twins for utilities market.
Asset Twins for Utilities Market Segment Performance And Strategic Opportunities
The asset twins for utilities market covered in this report is segmented –
1) By Component: Software; Hardware; Services
2) By Deployment Mode: On-Premises; Cloud
3) By Utility Type: Electricity; Water; Gas; Renewable Energy; Other Utility Types
4) By Application: Asset Management; Predictive Maintenance; Performance Monitoring; Risk Management; Other Applications
5) By End-User: Public Utilities; Private Utilities; Municipal Utilities; Other End-Users
Subsegments:
1) By Software: Digital Twin Modeling Software; Simulation And Analytics Software; Asset Performance Management Software; Visualization And Dashboard Software; Integration And Data Management Software
2) By Hardware: Sensors And Measurement Devices; Edge Computing Devices; Communication Equipment; Control Units; Data Acquisition Hardware
3) By Services: Installation And Deployment Services; System Integration Services; Consulting And Customization Services; Maintenance And Support Services; Training And Advisory Services
Asset Twins for Utilities Market Industry Trends Shaping Future Revenue Growth
Leading companies in the asset twins for the utilities market are focused on developing technological advancements, specifically AI-driven survey-grade 3D reconstruction. This aims to create high-accuracy digital representations of utility assets, enhance infrastructure visibility, and enable scalable, data-driven asset management. AI-driven survey-grade 3D reconstruction utilizes artificial intelligence and computer vision algorithms to capture and convert visual data into highly accurate, measurement-grade three-dimensional models that meet professional surveying and engineering criteria. As an illustration, in February 2024, Looq AI, a US-based technology firm, introduced an AI-enabled digital twin platform designed for real-time simulation and optimization of physical assets. This innovation facilitates swift, survey-grade 3D reconstruction and extensive digitization of crucial utility assets, enabling surveyors, engineers, contractors, and asset owners to efficiently produce geometrically precise, georeferenced digital twins, thereby supporting accurate asset intelligence, infrastructure diagnosis, and long-term sustainability across utility networks.
Asset Twins for Utilities Market Key Players: Which Companies Shape Industry Competition?
Major companies operating in the asset twins for utilities market are Microsoft Corporation, Siemens AG., IBM Corporation, Oracle Corporation, Schneider Electric SE., Honeywell International Inc., SAP SE, ABB Ltd., Emerson Electric Co., Xylem Inc., Dassault Systèmes SE, Autodesk Inc., PTC Inc., Bentley Systems Inc., Gradyent, Neara, Akselos SA, blueOASIS, Cintoo Cloud, General Electric Company, Maverick IQ, Twinify Technologies LLC, and Waltero.
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#Asset Twins for Utilities Market Largest Region: Which Geography Holds The Highest Market Share?
North America was the largest region in the asset twins for utilities market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the asset twins for utilities market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.