Digital Twin Technology: Seeing Double Will Be Even More Popular in 2024

Digital Twin Technology: Seeing Double Will Be Even More Popular in 2024

The digital twin can mirror the real thing in a digital world.?Businesses across industries have started studying digital twin benefits and implementing them.

Digital twin advantages are substantial. Virtual representation of a virtual ecosystem map of assets across operations and business processes using accessible, real-time data flowing across connected systems helps automate workflows, mitigate risks, and drive greater sustainability.

Also, data intelligence allows for constant monitoring of any entity, system, or device, shared to interactive dashboards in real time. This thread of corresponding data allows organizations to overcome data and organizational silos to truly understand how well their operations are performing.

Additionally, secure components of digital twins can be shared with various stakeholders in the ecosystem, enabling better collaboration and communication, regardless of location.

Other digital twin benefits include:

  • Accelerated risk assessment and production time
  • Predictive maintenance
  • Real-time remote monitoring
  • Better team collaboration
  • Better financial decision-making

Digital twins can predict equipment maintenance needs, showcasing one of the pivotal digital twin use cases in modern industries. By continuously collecting data from the physical asset and applying predictive analytics and machine learning, potential failures or breakdowns can be anticipated, ensuring timely interventions.

Experts in this field expect digital twin technology to provide even more use cases in 2024, becoming especially prominent in manufacturing, healthcare, automotive industry and the aerospace and energy sectors.

In fact, the digital twin market size is forecast to reach $193.7 million by 2030.

Want to learn more? Tonex offers Fundamentals of Digital Twins, a 2-day course that covers the key principles of digital twins and how it relates to integration of digital engineering, modeling and simulations, AI/ML, 3D and integration for service and product-related data and systems.?

For more information, questions, comments,?contact us.

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