Digital twins have been around for two decades, but only recently has there been an upturn in companies leveraging this technology. Because so many companies are realizing the incomparable benefits of using digital twin technology, it makes sense that by 2028, the global digital twin market is projected to reach 86 billion USD.
Digital twins are virtual clones of physical entities (e.g. a device, a machine, even a city) that are used to enhance the experience that the actual physical unit can provide. In manufacturing, for example, IoT sensors can be attached to a standard operating machine so that the machine’s digital twin can receive real-time data about its functionality. This data can be used to then program the digital twin to perform preventative maintenance checks on the physical machine– this ensures that the machine is well-kept, successfully performing, and it also saves manufacturers a lot of money on replacement costs. Digital twins rely on IoT, AR, VR, and 3D technologies to help with accurately replicating the physical object.
In 2022, we are seeing digital twins used in a variety of sectors, predominantly, in manufacturing, automotive, construction, and healthcare. A new car can be test-driven and modified in its digital twin pre-production, and the digital twin of a new building can show how the space is being used post-production. For organizations looking to launch a new product, this technology can follow the entire life-cycle of a product, from design, production, operation, and disposal. Digital twins offer safety, flexibility, and insight for all fields because they share the same core goal: being able to simulate and manipulate a physical entity in the safety of a virtual environment.
Overall, digital twins are great for cutting costs during prototyping, streamlining design, and reducing the time it takes to enter a product to market. Large enterprises and even city planners are using digital twins to achieve their innovative goals. Let’s review four recent and successful digital twin deployments.
Because digital twins can be applied to so many different industries and physical entities, the future of this technology is imaginative, innovative, and at times controversial because of its boundless potential. Let’s look at two future uses for digital twin technology.
Fundamentally, there are similarities between digital twins and the metaverse: they both digitally represent the physical world. Managing Director at Accenture Technology Vision, Michael Biltz, describes the metaverse as a connective tissue that binds different worlds together, while digital twins represent the worlds themselves. Biltz gives an example by narrating a typical work day at a manufacturing plant– the worker wants to monitor a machine, order new parts for the machine, and then catch-up with a coworker. Engineers can create a digital twin for the machine and even the manufacturing plant itself, but the metaverse gives this worker the opportunity to engage in these digital tasks and socialize with a peer in one virtual universe. In other words, digital twins have the potential to exist in the metaverse where they can be used just like they do here in the physical world.
An ambitious, yet realistic, effort in the digital twin world is creating a digital twin for the human brain. This can feel distantly futuristic but it is presently in the works thanks to the EU-funded project, Neurotwin. The overall goal for this large-scale digital twin project is to simulate human brains in order to predict the best treatments for medical conditions like Alzheimer’s and epilepsy. If successful, this digital twin application can forever change healthcare, and more importantly, the lives of the humans who suffer from these conditions.
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