Home > Healthcare > Healthcare IT > Artificial Intelligence > Healthcare Digital Twins Market

Healthcare Digital Twins Market Trends

Report ID: GMI12209
Published Date: Nov 2024
Report Format: PDF

Download Free Sample

Healthcare Digital Twins Market Trends

The market is rapidly evolving with several technological advancements.

Integrating artificial intelligence (AI) with digital twin technology enables highly accurate simulations of patient-specific conditions, which can be used for predictive analytics and modeling. For example, AI-powered twins can simulate the way a patient might respond to different treatments over time, aiding in personalized treatment strategies.
Additionally, the use of Internet of Things (IoT) devices and wearables allows continuous data collection from patients, which feeds into digital twins for real-time health monitoring. This data-driven approach allows for a more dynamic and precise virtual representation of a patient's health, helping in monitoring chronic diseases or post-surgical recovery. Devices like ECG monitors, glucose biosensors, and even smartwatches are increasingly integrated into healthcare digital twins for real-time insights.
Moreover, quantum computing shows potential in handling complex simulations for digital twins, being in its early stage. Quantum-powered digital twins could drastically improve speed and accuracy in predicting patient outcomes, especially in genomics-based personalized medicine or multi-variable simulations that are computationally intensive. These advancements are making healthcare digital twins more robust, helping drive adoption across sectors from hospitals to clinical research, where the demand for precision and personalized care is high.

Authors: Mariam Faizullabhoy, Gauri Wani

Frequently Asked Questions (FAQ) :

The global healthcare digital twins industry was valued at approximately USD 1.3 billion in 2023 and is estimated to grow at a 42.6% CAGR from 2024 to 2032, driven by the increasing demand for personalized medicine and the integration of IoT and real-time data analytics.

The software segment dominated the market in 2023, accounting for USD 778.7 million, as it enables healthcare providers and researchers to create, visualize, and interact with complex patient data models in real time.

The U.S. led the North American healthcare digital twins industry with a revenue of USD 443.7 million in 2023, supported by significant investments in AI and machine learning technologies that enhance personalized medicine and patient outcomes.

Key players in the industry include Ansys, Dassault Systems (3DS System), Faststream Technologies, Microsoft, Oracle, Philips Healthcare, Predictiv care, PrediSurge, Q Bio, Siemens Healthineers, ThoughWire, Twin Health, and Unlearn AI.