The digital twin in energy market size is expected to see rapid growth in the next few years. It will grow to $14.87 billion in 2030 at a compound annual growth rate (CAGR) of 17.3%. The growth in the forecast period can be attributed to increasing demand for predictive asset performance management, rising need for real-time optimization of energy systems, growing adoption of digital twin technologies across renewable energy assets, increasing demand for operational cost reduction, expanding deployment of digital twins for grid modernization. Major trends in the forecast period include increasing adoption of real-time monitoring for energy assets, rising demand for predictive maintenance of energy assets, growing utilization of virtual replicas of energy assets, increasing demand for energy performance optimization, expanding deployment of digital twin technologies across power generation and transmission systems.
The increasing adoption of renewable energy sources is expected to drive the growth of the digital twin in energy market going forward. Renewable energy sources refer to naturally replenishing energy resources, including solar, wind, hydropower, geothermal, and biomass, that are utilized to generate electricity with a lower environmental impact. The growing adoption of renewable energy sources is primarily driven by the increasing global emphasis on reducing carbon emissions and transitioning toward sustainable energy systems. Digital twin technology supports renewable energy by enabling real-time monitoring, predictive maintenance, performance optimization, and simulation of renewable energy assets, thereby helping enhance operational efficiency and grid integration. For instance, in October 2024, according to the International Energy Agency (IEA), a France-based intergovernmental organization, the share of renewables in final energy consumption is projected to rise from 13% in 2023 to nearly 20% by 2030. Therefore, the increasing adoption of renewable energy sources is driving the growth of the digital twin in energy market.
Leading companies operating in the digital twin in energy market are introducing advanced industrial intelligence platforms, such as digital twin platforms, to enhance real-time asset visibility, improve operational efficiency, and enable predictive maintenance across energy operations. Digital twin platforms refer to integrated software environments that create virtual representations of physical energy assets by combining real-time operational data, simulation capabilities, artificial intelligence, and analytics to monitor, optimize, and manage asset performance throughout its lifecycle. For example, in April 2024, AVEVA, a UK-based industrial software company, launched CONNECT, an industrial intelligence platform that integrates industrial data, digital twin capabilities, AI-powered analytics, and cloud-based services into a unified environment. The platform enables energy companies to monitor, analyze, and optimize asset performance in real time, supporting predictive maintenance, operational efficiency, and intelligent decision-making through advanced digital twin technology.
In October 2024, IBM, a US-based technology company, acquired Prescinto for an undisclosed amount. Through this acquisition, IBM seeks to expand its energy and utilities software capabilities by incorporating Prescinto's AI-driven asset performance management platform designed for renewable energy assets. Prescinto's technology facilitates real-time asset monitoring, data analytics, automation, and performance optimization across solar, wind, and energy storage systems, while supporting digital twin and asset lifecycle management applications within the energy industry. Prescinto is an India-based company that provides asset performance management software for renewable energy assets.
Major companies operating in the digital twin in energy market are Microsoft Corporation, Siemens AG, GE Vernova Inc., International Business Machines Corporation, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd, Baker Hughes Company, Emerson Electric Co., Johnson Controls International plc, Rockwell Automation Inc., Dassault Systèmes SE, Hexagon AB, Bentley Systems Incorporated, Yokogawa Electric Corporation, Kongsberg Digital AS, Palantir Technologies Inc., PTC Inc., DNV AS, Cognite AS, Seeq Corporation, Akselos SA, Neara Pty Ltd, Twaice Technologies GmbH, Arundo Analytics Inc., IOTA Software Inc.
North America was the dominating region in the digital twin in energy market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the digital twin in energy market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the digital twin in energy market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The digital twin in energy market of revenues earned by entities by providing services such as digital twin design and implementation, real-time asset monitoring, predictive maintenance, performance optimization, remote asset management, data analytics, digital twin consulting, integration services, and technical support and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The digital twin in energy market also includes sales of IoT sensors, smart energy meters, SCADA hardware units, phasor measurement units, and condition monitoring sensors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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Table of Contents
Executive Summary
Digital Twin In Energy Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses digital twin in energy market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for digital twin in energy? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The digital twin in energy market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
Scope
Markets Covered:
1) By Component: Software; Hardware; Services2) By Technology: Artificial Intelligence And Machine Learning Systems; Internet Of Things Enabled Systems; Big Data Analytics Platforms; Predictive Analytics Solutions; Simulation And Modeling Software; Cloud Computing Platforms
3) By Deployment Mode: On-Premises; Cloud
4) By Application: Asset Performance Management; Predictive Maintenance; Process Optimization; Energy Management; Other Applications
5) By End User: Power Generation; Oil And Gas; Renewable Energy; Utilities; Other End Users
Subsegments:
1) By Software: Asset Performance Management Software; Data Integration Software; Visualization Software2) By Hardware: Sensors; Edge Devices; Data Acquisition Systems; Communication Devices; Industrial Controllers
3) By Services: Consulting Services; Integration Services; Deployment Services; Maintenance And Support Services; Training Services
Companies Mentioned: Microsoft Corporation; Siemens AG; GE Vernova Inc.; International Business Machines Corporation; Oracle Corporation; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Ltd; Baker Hughes Company; Emerson Electric Co.; Johnson Controls International plc; Rockwell Automation Inc.; Dassault Systèmes SE; Hexagon AB; Bentley Systems Incorporated; Yokogawa Electric Corporation; Kongsberg Digital AS; Palantir Technologies Inc.; PTC Inc.; DNV AS; Cognite AS; Seeq Corporation; Akselos SA; Neara Pty Ltd; Twaice Technologies GmbH; Arundo Analytics Inc.; IOTA Software Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Microsoft Corporation
- Siemens AG
- GE Vernova Inc.
- International Business Machines Corporation
- Oracle Corporation
- Schneider Electric SE
- Honeywell International Inc.
- SAP SE
- ABB Ltd
- Baker Hughes Company
- Emerson Electric Co.
- Johnson Controls International plc
- Rockwell Automation Inc.
- Dassault Systèmes SE
- Hexagon AB
- Bentley Systems Incorporated
- Yokogawa Electric Corporation
- Kongsberg Digital AS
- Palantir Technologies Inc.
- PTC Inc.
- DNV AS
- Cognite AS
- Seeq Corporation
- Akselos SA
- Neara Pty Ltd
- Twaice Technologies GmbH
- Arundo Analytics Inc.
- IOTA Software Inc.

