Ai-powered Clinical Decision Support Market Size & Share Analysis - Growth, Trends, and Forecasts (2024 - 2029)

AI-Powered Clinical Decision Support Market Analysis

The AI-Powered Clinical Decision Support Market size is estimated at USD 0.75 billion in 2024, and is expected to reach USD 1.55 billion by 2029, growing at a CAGR of 15.60% during the forecast period (2024-2029).

Factors such as the technological advancements in healthcare IT across facilities, the need to enhance the quality of care and minimize human errors, and the rising demand to reduce healthcare expenditure are expected to boost the market's growth during the forecast period.

Various studies have evaluated the potential of artificial intelligence in healthcare settings. For instance, a March 2024 article in the European Journal of Health, Psychology, and Education highlighted that Artificial Intelligence Clinical Decision Support Systems (AI-CDSSs) could significantly benefit primary healthcare (PHC) activities, aiding in diagnosis, patient management, and preventive measures. Furthermore, the integration of AI-CDSSs across healthcare facilities has successfully minimized prescription errors without inducing alert fatigue. With AI-enhanced CDSSs, electronic health records (EHRs) are now better equipped for clinical reasoning, managing larger volumes of information with a more holistic approach. Thus, the benefits offered by AI-powered CDS systems are expected to increase their adoption across healthcare facilities, boosting the market's growth.

Artificial intelligence-driven clinical decision support systems (CDSSs) enhance patient care by equipping healthcare professionals with precise and tailored insights for risk assessment, diagnosis, treatment optimization, and early monitoring of cardiovascular diseases (CVD). For instance, a February 2024 article in the Anatolian Journal of Cardiology highlighted research findings where AI and machine learning applications in monitoring heart failure patients led to reduced mortality rates through accurate prognosis predictions. Furthermore, AI-driven risk stratification using sinus rhythm electrocardiograms refines atrial fibrillation (AF) screening initiatives, significantly reducing the number of patients required for screening.

Technological advancements, particularly the integration of artificial intelligence into clinical decision support systems (CDSS), have spurred their adoption in hospitals, fueling the market's growth. For example, in January 2023, Grand River Hospital partnered with Signal 1 to explore an AI-driven CDSS. This system utilizes algorithms developed at St. Michael's Hospital. Such advancements enhance clinician decision-making and facilitate timely patient interventions by predicting changes in patient needs and conditions, further propelling the market's growth.

Furthermore, the rise of artificial intelligence technology has spurred the development of sophisticated clinical decision-support tools. This advancement has seen heightened adoption rates in hospitals and clinics, propelling the market's growth. For instance, in February 2023, Apollo Hospitals Group introduced its Clinical Intelligence Engine for physicians in India, integrated into the Apollo 24|7 platform. This is developed using artificial intelligence (AI) and machine learning (ML) techniques, and it enhances diagnostic accuracy, boosts physician productivity, and prioritizes patient satisfaction.

Therefore, owing to the rising adoption of AI-powered CDS systems across healthcare facilities, in the diagnosis of cardiovascular diseases among patients, and the growing development of AI-CDS systems, the studied market is expected to grow during the forecast period. However, data privacy, ethical considerations, and a lack of skilled professionals are likely to impede the market's growth during the forecast period.

AI-Powered Clinical Decision Support Market Trends

The Medical Diagnosis Segment is Expected to Witness Significant Growth During the Forecast Period

AI-Powered Clinical Decision Support Industry Segmentation

As per the scope of the report, AI-powered clinical decision support utilizes artificial intelligence technologies to aid healthcare providers in their clinical decision-making. By employing techniques like machine learning, natural language processing, and data analytics, these systems scrutinize patient data, offering recommendations and insights that enhance patient care. Consequently, AI clinical decision support systems play a pivotal role in refining the diagnosis, treatment, and prognosis of medical conditions.

The AI-powered clinical decision support market is segmented by component, deployment mode, application, end user, and geography. By component, the market is segmented by software and services. By deployment mode, the market is segmented into cloud-based and on-premise. By application, the market is segmented by medical diagnosis, treatment planning, patient monitoring, alerts, reminders, and risk prediction, and prescription decision support and personalized medicine. By end user, the market is segmented by hospitals/clinics, research academics, and pharmaceutical and biotechnology companies. By geography, the market is divided into North America, Europe, Asia-Pacific, Middle East and Africa, and South America. The market report also covers the estimated market sizes and trends for 17 countries across major regions globally. The market provides the value (USD) for the above-mentioned segments.