10 digital twin trends for 2023

Interest in digital twins has increased over the past year. Digital Twin Tool growing in capabilities, performance, and ease of use. They are also leveraging promising formats such as USD and glTF to bridge points between different tools and processes.

Advances in pattern matching techniques may also improve the accuracy and performance of hybrid digital twins. Artificial intelligence The techniques used for text and images can also help create 3D shapes and even digital copies. These types of advancements will allow businesses to mix and match modeling capabilities in new ways and for new tasks.

Here are 10 trends to watch for in the coming year.

1. From file concatenation to data concatenation

Over the past few years, all major tools for product design and infrastructure have moved to the cloud — but still using legacy file formats for data exchange. An increasing number of vendors are calling for the data integration aspects of these tools to make it easier to share a digital twin between different tools and services.


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This capability often begins as a subset of the vendor’s tools. For example, Siemens is rebranding a new subset of its tools as part of Siemens Acceleratorwhile Bentley has launched Phase 2 of metaverse infrastructure. In November, the Trimble location intelligence leader made his debut small and light Onea “purpose-built connected construction management service offering that includes rich field data, estimation solutions, detailing, project management, finance, and human resource management. ”

Moving apps to the cloud is simply one thing. These innovators are doing something else: pioneering more efficient ways to connect data across these applications. Over the next year, other major design and construction tool vendors will likely announce similar advancements to connecting digital twins and twins. digital theme through different processes.

2. Entertainment companies target industrial supermarkets

Epic and Unreal have made significant progress in partnering with digital twin leaders to deliver better user experiences across devices. These companies have announced significant partnerships with leaders in GIS, construction and automotive.

Blackshark artificial intelligence developed the globe behind Microsoft’s latest flight simulator and continues to scale the technology to automatically convert raw satellite images into labeled digital twins. In April, Maxarleading satellite imagery provider, announced a significant investment in Blackshark to earth scale digital twins.

In the coming year, many game and entertainment companies will find opportunities in the industrial supermarket, which ABI expects to eclipse the consumer metaverse in the next few years.

3. Nvidia strengthens support for USD

Pixar pioneers in Universal scene description (USD) to improve the film production process. Nvidia advocated USD in connecting the dots between different digital twins and industrial metaverse use cases. The company has built connections with IFC standard for buildings and is improving workflow for Siemens in industrial automation and Bentley in construction.

USD is still lack of support for physics, materials, and devices, but despite its limitations, there’s nothing better than organizing 3D information for giant digital twins. Nvidia’s pioneering work on USD promises to integrate raw data with various industrial, medical, and enterprise processes.

4. glTF simplifies digital twin exchange

There is development momentum behind the glTF file format for exchanging 3D models across different engines. The Khronosi Corporation it is JPEG for metaverse and digital twins. The gITF is expected to accelerate, especially as creators look for an easy way to share interactive 3D models between tools.

5. Creative AI meets digital twins

In the past year, the world has been amazed by how easy it is to use ChatGPT for writing text and Stable Diffusion for creating images. Meanwhile, others have demonstrated new multimodal tools such as DeepMind’s Gato to harmonize models across written, video, 3D, and robotic guides. In the coming year, we can expect more progress in connectivity Innovative AI techniques with digital twin models to describe not only what objects look like but how they work.

Yashar Behzadi, CEO and Founder of Synthetic AI, a synthetic data engine provider, said: “This emerging capability will change the way games are built, visual effects are created, and immersive 3D environments developed. For commercial use, the democratization of this technology will provide the opportunity for digital replicas and simulations to train complex computer vision systems, such as those designed by found in autonomous vehicles.”

6. Hybrid Digital Twins

There are many trade-offs in terms of performance, accuracy, and use-cases between the models used in the digital twins. Prith Banerjee, CTO of Ansysbelieves that by 2023, businesses will find new ways to combine different approaches to hybrid digital twins.

Hybrid digital twins make it easy for CIOs to understand the future of a given asset or system. They will allow companies to consolidate asset data collected by universes sensors with physical data to optimize system design, predictive maintenance, and industrial asset management. Banerjee predicts that more and more industries will adopt this approach with breakthrough business results in the coming years.

For example, a healthcare company could develop an electrophysiological simulation of the heartbeat as the muscles contract, the valves open, and blood flows between the chambers of the heart. The company can then take a patient’s magnetic resonance imaging (MRI) and develop a simulation of that particular individual’s heart and how it responds to the introduction of a pacemaker model. Specifically. If this R&D work is successful, it could help medical device and device companies invent new products and register for FDA trials by demonstrating tests in silico.

7. FDA Modernization Act Replaces Animals With Silicone

Animal testing has been a requirement for all new drugs and treatments since the early days of the FDA. This year, the US Congress passed the FDA Modernization Act 2.0, which allows pharmaceutical companies to replace animal testing with in vitro and in-silico methods. This will drive innovation and commercialization patient on chip and better medical digital twins for more cost-effective and humane testing.

Tamara Drake, director of regulatory research and policy at Responsible Science Centertold VentureBeat, “We believe in-silico approaches, including using artificial intelligence combined with advanced organs on a chip, or patient on a chip, will be the biggest trend in development.” medicine in the years to come.”

8. Digital Twin Ecosystem Opens New Use Cases

Matt Barrington, Emerging Technology Leader at EY Americas, predicts that digital twin will increasingly change the way we run companies by 2023. For example, using digital marketplace copy to evaluate new products will aid management and exit strategic decisions. The digital twin will also strengthen supply chain resilience in times of uncertainty and improve risk management, safety and sustainability.

This transition will require increased emphasis on fundamental digital capabilities in data management and for data engineering, as well as a more holistic approach to security. Barrington anticipates a high degree of fragmentation and specialization in the market, so that no single vendor has an end-to-end digital twin. Companies will have to integrate several capabilities to create the right solution for their business. Part of that approach will require more composable, open architectures and the ability to manage an ecosystem-based system.

9. Enterprise digital twins take off

Vendors have made significant advances in tools for process mining and process capture to create a the organization’s digital twin.

Bernd Gross, CTO at AG softwareThese advancements allow businesses to create simulations for an entire department or a cluster of business processes instead of a single business process.

Leaders will seek to combine a variety of technologies, such as process mining, risk analysis, and compliance monitoring, to deliver more accurate results. These techniques require greater breadth and depth of data. Today, businesses must include relevant KPIs, causal relationships between processes, the life cycle of a business unit, etc. to create a truly accurate business digital twin. .

10. Digital Twins Drive 5G

5G delivers significantly faster speeds in live view of one of the newer towers, but may be slower than 4G in the radio shadow. Mobile service providers are engaged in a race to Fill in these shadowsand digital twins can help. Fortune Business Insights estimates that the market for 5G cells could grow 54.4% annually to 2028.

Mike Flaxman, Spatial Data Science Lead at AI is heavysays many telcos are considering digital twins to switch to one Plan, build and operate the model allowing them to maximize service while cutting costs.

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