Pharma Giants Vie in AI-Driven Digital Health Market
Translated from Korean, summarized and contextualized by DistantNews.
At a glance
- The digital healthcare market, driven by AI, is projected to grow sevenfold by 2033, shifting from reactive to predictive medicine.
- Pharmaceutical companies are increasingly investing in digital health, leveraging wearable devices and AI for continuous patient monitoring and early disease detection.
- Key advancements include AI-powered diagnostic tools, remote patient monitoring systems, and digital therapeutics for conditions like insomnia and diabetes.
The healthcare industry is rapidly transitioning from reactive treatment to predictive medicine, fueled by advancements in artificial intelligence and digital health technologies. The digital health market, encompassing AI-driven solutions, is expected to surge from approximately $240.8 billion in 2023 to $1.63 trillion by 2033, marking a nearly sevenfold increase.
The healthcare industry is rapidly transitioning from reactive treatment to predictive medicine, fueled by advancements in artificial intelligence and digital health technologies.
This shift is enabled by the collection and analysis of continuous biological data. Unlike traditional 'snapshot' check-ups, wearable devices now provide round-the-clock monitoring of vital signs like heart rate, temperature, and blood oxygen levels. This constant stream of data allows AI to detect anomalies, such as arrhythmias or sudden blood sugar spikes, often before symptoms appear, enabling earlier intervention and personalized treatment plans.
Pharmaceutical companies are actively embracing digital health as a future growth engine, moving beyond traditional drug development. Applications range from in-hospital patient monitoring systems, like Daewoong Pharmaceutical's 'Think' system that tracks patient vitals, to managing chronic conditions like diabetes outside the hospital using continuous glucose monitors (CGMs).
The digital health market, encompassing AI-driven solutions, is expected to surge from approximately $240.8 billion in 2023 to $1.63 trillion by 2033, marking a nearly sevenfold increase.
Furthermore, AI is being employed for disease risk prediction. Dong-A ST is using AI to analyze retinal images, aiding in the diagnosis of eye conditions and even predicting the risk of future cardiovascular diseases. Hanmi Pharmaceutical, in collaboration with Welt, has developed 'Sleep-Q,' a digital therapeutic device for insomnia that offers personalized cognitive behavioral therapy and allows medical professionals to track patient progress. The competitive landscape in medical AI is increasingly defined not just by the sophistication of the AI itself, but by the ability to securely accumulate and meaningfully utilize vast amounts of biological data in clinical settings.
This shift is enabled by the collection and analysis of continuous biological data.
Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.