Digital Twins – Thematic Research
- Pages: 53
- Published: December 2020
- Report Code: GDTMT-TR-S289
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. A forerunner was used in the Apollo 13 mission to the moon in 1970.
It has taken nearly 20 years for digital twins to mature, and though they have grown up quickly in recent years, there is a lot more growing to do.
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.
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 factories to government to hospitals. They can be used to understand and respond to rapidly changing circumstances. During the COVID-19 pandemic, digital twins have supported organizations modeling how to respond to the crisis.
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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