Summary Digital twins are digital representations of physical assets, systems, or processes.They help to detect, prevent, predict, and optimize the physical environment through the use of artificial intelligence (AI), real-time analytics, visualization, and simulation tools.
Conceptually, digital twins have been around for decades.Digital twins ingest data and use it to create representations of individual assets or groups of assets, ranging from parts, machines, entire plants, or a whole physical infrastructure.
Soon, the number and sophistication of applications of digital twins will grow.
To truly fulfill their potential, digital twins must quickly evolve into a meaningful construct and not just another technology concept in the broader Internet of Things (IoT).Digital twins are a tool with various applications, from construction sites to factories to hospitals.
They can be used to understand and respond to rapidly changing circumstances.In the construction sector, digital twins are being used to make investment decisions based on actionable data, such as assessing the performance of buildings in real time and adjusting performance to optimize efficiency.
They allow designs and concepts to be tested and, during the construction phase, enable the monitoring of progress against plans, monitoring of resources and prediction of resource requirements, and improve safety by identifying potential hazardous situations.
This report provides a detailed analysis of Digital Twins.
Scope - This report provides an overview of the digital twins theme.
- It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
- It includes a comprehensive industry analysis, including use cases for digital twins across a range of industries, including manufacturing, power, oil and gas, healthcare, construction, automotive, and aerospace and defense.
- The detailed value chain comprises six layers: a physical layer, a connectivity layer, a data layer, a platform layer, an app layer, and a services layer.
Reasons to Buy - The range of potential use cases for digital twins is extensive. They range from design and architecture to engineering, smart cities, aerospace and defense, power, oil and gas, and, probably the most advanced, a digital twin of the human body.
- This report tells you everything you need to know about digital twins, including identifying the current leaders in some of the most important segments of our digital twins value chain.
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