SCG Chemicals achieves 99% plant reliability
Regional petrochemical company deploys AI-driven “digital reliability platform” spanning engineering, operations, and maintenance to achieve 99% plant reliability and 9X ROI in 6 months.
Industrial digital twin
Digital twins are synchronized replicas of physical assets, processes, or systems. By simulating the behavior and performance of their physical counterparts, they let engineers and operators evaluate multiple scenarios quickly, without the risk of experimenting on production systems, to drive new efficiencies and make more informed decisions.
Learn more in AVEVA's guide to understanding digital twins
AVEVA’s broad portfolio of industrial data and application software, along with the CONNECT industrial intelligence platform, let you connect all your data, models, analytics, and visualization solutions to form a comprehensive, intelligent twin of your industrial environment.
This integrated approach spans ET, OT, and IT to support any new use case, reuse proven templates, and reduce IT costs. Accelerate your time-to-value and optimize outcomes.
AVEVA digital twin also incorporates:
- Standards for efficiently combining unstructured information and diverse, real-time data streams.
- Analytic models based on first principles or created using AI.
- Data visualization which can be customized for different roles and use cases.
Benefits of industrial digital twins
Eliminate redundancy using AVEVA’s common intelligence platform to reuse data, models, and visualizations.
Reliable results
AVEVA’s proven industrial data solutions ensure high-fidelity, accurate insights for confident decision-making.
Faster time-to-value
Seamless integration of data, models, and analytics accelerates outcomes and automation.
ET, OT, and IT convergence
Cross-domain data, models, and analytics unified to enable enterprise visibility, collaboration, and faster, smarter decision-making.
Industry-leading expertise
Over 50 years of experience and trusted partnerships drive fast, actionable insights for better operations.
Embedded data standards
AVEVA’s data standards streamline system integration, removing the complexity of custom data architectures and ontologies.
Reusable and scalable
AVEVA’s platform grows with your needs, enabling seamless scaling and reuse of digital twin components.
Digital twin use cases
- Risk-cost
- Operational efficiency
- Process and safety
- Monitoring
- Asset reliability
- Supply chain
Reduce project risk and cost
Collaborate seamlessly across teams to stay on schedule and within budget with a shared 3D model.
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Improve asset management and reliability
Visualize trusted, validated data across systems and infuse AI to predict asset behavior, minimize downtime and optimize performance.
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Optimize production processes
Predict and simulate process improvements in real time to optimize operational efficiency.
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Enable remote monitoring
Visualize the condition of remote physical assets, run advanced analytics and assess configuration changes.
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Maintain real-time situational awareness
Deliver enriched, real-time data that keeps digital twins aligned with live operational conditions.
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Increase supply chain visibility and agility
End-to-end visibility for forecasting, planning, ensuring delivery, preventing shortages, and accelerating revenue recognition.
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Experts in Digital Twin
IDC Vendor Profile
AVEVA's industrial intelligence powers engineering, operations, and optimization solutions and services
“Digital twin. AVEVA's solutions provide the necessary data, models and analytics, and visualization to build digital twin solutions that span the entire asset life cycle. They connect data from every layer of the technology stack for one contextualized, multi-visual experience from capital project to operations.”
IDC March 2024, IDC #US51865524
Partners
AVEVA’s open and neutral approach allows you to build your digital twin incorporating AVEVA and third-party technologies. Many of our partners leverage CONNECT, the trusted industrial intelligence platform.
- Databricks: Natively integrate industrial and enterprise data for scalable analytics, AI-driven insights, and governed collaboration.
- Seeq: Take advantage of advanced analytics for time-series data, empowering engineers to explore trends, diagnose issues and accelerate time-to-insight.
- Braincube: Leverage the latest advances in machine learning to maximize production efficiency across manufacturing operations.
The CTO Club: Guide to the best digital twin software of 2025
AVEVA: Best for industrial asset management
“AVEVA’s features are engineered to enhance decision-making at every stage of the product development journey. From early-stage prototypes to the final production process, the platform offers tools that integrate with various industrial data sources, ERP systems, and production management tools.”
FAQs
Many vertical industries and various teams use digital twins.
- Design and construction engineers use them to collaborate on the development of large, capital assets.
- Process engineers use them to improve the design, operation, and optimization of industrial processes. Specifically, the main drivers are: process design optimization, operational efficiency and cost reduction, predictive maintenance, safety and risk reduction, sustainability and energy efficiency and operator training (via XR/Simulators).
- Operations teams use them to train new employees and operations analysts use them to find options for maximizing efficiency and sustainability.
- Asset reliability and maintenance teams use them to implement predictive maintenance and reduce downtime.
- Supply chain managers use them for forecasting, optimizing sourcing and planning their logistics network.
With a digital twin, users can perform simulations, explore what-if scenarios, analyze process performance, and uncover opportunities for optimization. These insights enable process engineers to make data-driven decisions that enhance the design, operation, and efficiency of the real-world physical asset.
AVEVA digital twins use:
- Historical and real-time data representing different aspects affecting the physical entity such as flow rate, energy consumption, temperature, weather conditions, and more.
- Models that describe the complex interactions that determine performance of the physical entity. These models can be defined using first principles or created by applying AI to a large volume of historical, trending, and real-time data.
- Analytics that provide insight into trends, assess causality, and make predictions about future performance.
- Visualization solutions that provide users with no-code tools for building role- and use case-specific data visualizations to aid understanding and accelerate decision-making.
The data used by digital twins includes:
- Descriptive information about assets or processes, including design specifications, product information, production processes, real-time feedback, and maintenance records.
- Historical data from industrial monitoring and control systems, process equipment, utility systems, and other sources.
- Real-time data streaming from sensors and other systems.
- Predictive analytics data, including forecasts, simulation results, and market trend data, used to anticipate future outcomes and guide decision-making.
Learn about AVEVA™ Asset Information Management and AVEVA™ PI Data Infrastructure
AVEVA does not offer a single digital twin solution or package, because the right set of software components depends on what you already have in your environment and the specific use case you want to explore. AVEVA lets you use the solutions you already rely on in your business to drive digital twin explorations.
AVEVA does recommend and provide a single, common industrial intelligence platform, CONNECT, as the foundation for your digital twin use cases. CONNECT ensures you can easily integrate all of the information, real-time data, models, analytics, and visualization solutions required and that you can reuse and leverage components built by other teams to accelerate time-to-value and optimize results.
Events and Webinars
- Webinar
Supercharging your approach to industrial data management and digital twin
- Presentation
Standing up a digital twin for CBM with AVEVA™ PI System™
- Presentation
