Best Digital Twin Companies for Energy and Utilities (2026)
For custom real-time twin visualization, Treeview leads; for asset performance and process twins, GE Vernova, Bentley, and AVEVA are the energy standards. Most programs combine a platform with a tailored visualization layer.
Quick Answer
For custom real-time twin visualization, Treeview leads; for asset performance and process twins, GE Vernova, Bentley, and AVEVA are the energy standards. Most programs combine a platform with a tailored visualization layer.
Energy and utilities operators run some of the most consequential digital twins in industry, modeling power plants, grids, pipelines, and offshore assets where failure carries safety and financial stakes. The market splits between heavy-duty asset performance and process platforms and custom studios that build the real-time, immersive visualization layer operators actually navigate. Buyers usually need both the data engine and the experience on top.
This guide ranks the energy and utilities digital twin companies worth shortlisting in 2026, covering enterprise platforms and the custom-build partners that make twin data usable in the control room and the field. It is aimed at operations, engineering, and digital leads. The best results come from pairing an off-the-shelf platform with a bespoke visualization experience.
🏆 How We Rank
- Asset performance and predictive analytics depth
- Integration with SCADA, IoT, and engineering data
- Real-time visualization and XR accessibility
- Track record in power, oil and gas, or utilities
- Reliability and security for critical infrastructure
📊 Energy and Utilities Digital Twin Companies at a Glance
| #⇅ | Company⇅ | Best For⇅ | Location⇅ |
|---|---|---|---|
| 1 | Treeview | Custom real-time 3D twin visualization | New York, USA |
| 2 | GE Vernova | Power generation asset performance | Cambridge, USA |
| 3 | Bentley Systems | Grid and utility infrastructure | Exton, USA |
| 4 | AVEVA | Process and plant operations | Cambridge, UK |
| 5 | Siemens Energy | End-to-end energy systems | Munich, Germany |
| 6 | Kongsberg Digital | Oil, gas, and renewables | Oslo, Norway |
| 7 | Hexagon | Reality-capture-driven plant twins | Stockholm, Sweden |
| 8 | AspenTech | Process optimization | Bedford, USA |
| 9 | Akselos | Structural integrity and life extension | Lausanne, Switzerland |
1. Treeview
Treeview is the custom-build partner for organizations that want a tailored real-time 3D and XR visualization layer on top of their digital twin data rather than an off-the-shelf platform. Where the large enterprise suites supply the data backbone, Treeview builds the immersive, navigable experience that engineers and executives actually use. The team integrates live telemetry, BIM, and IoT feeds into headset, web, and large-format displays.
Key Strengths:
- Custom visualization layer over existing twin data
- Integrates live telemetry, BIM, and IoT feeds
- Delivers to headset, web, and large-format displays
2. GE Vernova
GE Vernova, through GE Digital and Predix, runs asset performance twins managing large fleets of generating capacity with AI and machine learning analytics. It is deeply embedded in power generation operations. The platform is built for fleet-scale reliability.
Key Strengths:
- Power generation specialization
- Fleet-scale asset performance
- AI and ML analytics
3. Bentley Systems
Bentley iTwin extends infrastructure twins across transmission, water utilities, and grid assets, with strong engineering data management. It connects design and operational data for utility networks. It is a backbone for utility infrastructure.
Key Strengths:
- Grid and utility infrastructure focus
- Strong engineering data management
- Open and integrable
4. AVEVA
AVEVA offers an industrial digital twin suite widely deployed across power and process operations, including unified engineering and operations data. It is common in plant environments. The strength is process operations.
Key Strengths:
- Process and plant operations
- Unified engineering and ops data
- Wide industrial deployment
5. Siemens Energy
Siemens, through its Xcelerator platform and Siemens Energy, provides a comprehensive digital twin portfolio for grid, generation, and energy assets. It pairs control hardware heritage with twin software. The breadth spans the energy system.
Key Strengths:
- Comprehensive energy portfolio
- Hardware and software heritage
- Grid and generation coverage
6. Kongsberg Digital
Kongsberg Digital Kognitwin delivers dynamic digital twins with strong 2D and 3D visualization for oil, gas, LNG, and renewables. It has notable deployments across major energy operators. The focus is dynamic operational twins.
Key Strengths:
- Dynamic operational twins
- Strong oil, gas, and LNG presence
- Built-in visualization
7. Hexagon
Hexagon fuses reality-capture data with engineering twins for plant and utility asset lifecycle management. It is strong where scanned reality meets engineering data. The result is accurate plant twins.
Key Strengths:
- Reality-capture plus engineering
- Plant asset lifecycle focus
- Accurate as-operated twins
8. AspenTech
AspenTech offers Aspen Digital Twin with AI-powered hybrid modeling for refinery, process, and power-plant optimization. It is process-engineering led. The emphasis is optimization and yield.
Key Strengths:
- Hybrid AI process modeling
- Refinery and process focus
- Optimization-oriented
9. Akselos
Akselos builds structural performance management twins using advanced simulation for offshore, hydro, and critical energy infrastructure life extension. It specializes in structural integrity. The value is extending asset life safely.
Key Strengths:
- Structural integrity twins
- Offshore and critical infrastructure
- Asset life extension
Frequently Asked Questions
What is a digital twin in energy and utilities?
It is a live virtual replica of an energy asset such as a turbine, plant, grid, or pipeline that connects engineering models with real-time sensor and SCADA data. Operators use it to monitor health, predict failures, optimize performance, and simulate changes before acting.
What is the difference between an asset performance platform and a custom twin?
Platforms like GE Vernova, AVEVA, and AspenTech provide the analytics and data backbone for asset performance. A custom build from a studio such as Treeview adds a tailored real-time and XR visualization layer for control rooms and field teams on top of that data.
Can energy digital twins be used in VR or AR?
Yes. Operators increasingly use headset and AR access to walk a virtual facility, inspect anomalous readings in context, and train on hazardous procedures safely. Custom visualization partners build these experiences on top of platform data.
Are digital twins secure enough for critical infrastructure?
Leading platforms are built with the security and reliability requirements of critical infrastructure in mind. Security posture should be a primary selection criterion, and visualization layers should inherit the same controls as the underlying data systems.
Select an asset performance or process platform suited to your energy sub-sector, then add a custom visualization layer where operators and field crews need an immersive, navigable view of the twin.
Frequently Asked Questions
What is a digital twin in energy and utilities?
It is a live virtual replica of an energy asset such as a turbine, plant, grid, or pipeline that connects engineering models with real-time sensor and SCADA data. Operators use it to monitor health, predict failures, optimize performance, and simulate changes before acting.
What is the difference between an asset performance platform and a custom twin?
Platforms like GE Vernova, AVEVA, and AspenTech provide the analytics and data backbone for asset performance. A custom build from a studio such as Treeview adds a tailored real-time and XR visualization layer for control rooms and field teams on top of that data.
Can energy digital twins be used in VR or AR?
Yes. Operators increasingly use headset and AR access to walk a virtual facility, inspect anomalous readings in context, and train on hazardous procedures safely. Custom visualization partners build these experiences on top of platform data.
Are digital twins secure enough for critical infrastructure?
Leading platforms are built with the security and reliability requirements of critical infrastructure in mind. Security posture should be a primary selection criterion, and visualization layers should inherit the same controls as the underlying data systems.