- AI in Patient Management systems, which leverage artificial intelligence to streamline clinical workflows, automate administrative tasks, and enhance decision-making, are becoming essential tools in modern healthcare infrastructures. These solutions offer benefits such as predictive analytics, real-time patient monitoring, and personalized care planning, making them highly valuable in both hospital and outpatient settings
- The growing demand for AI-driven patient management is primarily fueled by the increasing burden of chronic diseases, healthcare staff shortages, and the need for operational efficiency in clinical environments. Integration with EHRs, telehealth platforms, and diagnostic tools is further enhancing their utility
- North America dominated the AI in patient management market with the largest revenue share of 41.8% in 2024, attributed to early adoption of AI technologies, high healthcare IT spending, and supportive regulatory frameworks. The U.S. is leading the region's growth, particularly in hospitals and integrated health systems, due to innovations from both tech giants and startups focusing on clinical decision support, AI chatbots, and virtual assistants
- Asia-Pacific is expected to be the fastest-growing region in the AI in patient management market during the forecast period, driven by a rising geriatric population, government-led digital health initiatives, and increasing adoption of telemedicine across emerging economies such as China, India, and Japan
- The machine learning segment dominated the AI in patient management market with a market share of 42.6% in 2024, due to its effectiveness in predictive analytics, patient stratification, and real-time diagnostics. Machine learning models are increasingly being integrated into healthcare systems to analyze large datasets, detect anomalies, and assist clinicians in making data-driven decisions, making it a foundational technology in modern patient management solutions
