Predictive Disease Analytics Market
Dublin, May 22, 2025 (GLOBE NEWSWIRE) — The “Predictive Disease Analytics Market Size, Share & Trends Analysis Report by Component (Hardware, Software & Services), Deployment (On-premise, Cloud-based), End Use, Region, with Growth Forecasts, 2025-2030” report has been added to ResearchAndMarkets.com’s offering.
The Predictive Disease Analytics Market was valued at USD 3.0 Billion in 2024, and is projected to reach USD 10.2 Billion by 2030, rising at a CAGR of 22.70%.
Predictive disease analytics refers to software solutions utilized by healthcare organizations, hospitals, and physicians to analyze and process patient data. This analysis aims to provide data-driven, high-quality care, precise diagnostics, and personalized treatments. Essentially, predictive analytics serves as an advanced method to enhance patient outcomes within the healthcare sector.
Beyond simple data analysis, predictive analytics solutions aid healthcare providers in understanding disease prevalence, management, and patient trajectories. This empowers them to deliver appropriate medical care for optimal results. By assessing individual health risks and anticipating future outcomes, healthcare providers can avoid unnecessary expenditures, further driving the adoption of these technologies. Consequently, the global predictive disease analytics market is anticipated to witness significant growth.
During the COVID-19 pandemic, predictive analytics proved to be indispensable. It played a crucial role in addressing challenges related to patient outcomes and resource management. The vast amount of data generated during the outbreak offered valuable insights for the healthcare sector, enhancing the analysis of disease spread and efficient resource allocation. Hospitals and institutions leveraged predictive analytics to assess the likelihood of severe symptoms or the trajectory of infections. A notable example includes the Cleveland Clinic’s automated analytics model, which predicted the chance of patients testing positive in 2020, thereby accelerating market growth.
The burgeoning global market can be attributed to the escalating burden of chronic diseases, a shift towards personalized and evidence-based medicine, and a pressing need for increased healthcare efficiencies. According to the Centers for Disease Control and Prevention (CDC), six out of ten Americans suffer from at least one chronic illness, such as heart disease, cancer, or diabetes. This rising prevalence continues to fuel demand, significantly bolstering market growth.
Another key driver of market expansion is the integration of evidence-based medicine, which ensures that the right treatment reaches the right patient. The adoption of Electronic Health Records (EHRs) has surged in recent years; for instance, the share of office-based doctors utilizing EHRs jumped from 42% in 2008 to nearly 88% in 2021 across the U.S. This innovation enhances predictive analytics by facilitating better treatment recommendations, ultimately leading to reduced patient costs and improved health outcomes. The embrace of electronic health systems, analytics, and artificial intelligence is projected to further propel market development amidst rising healthcare expenses associated with chronic illness burdens worldwide.
To stay competitive, companies engaged in the predictive disease analytics market are diligently expanding their product offerings. For instance, in June 2022, Engagys LLC, a health consulting firm, announced a new affordable subscription service aimed at healthcare systems and tech leaders. This service, known as Executive Advisory Services, seeks to provide healthcare practitioners with actionable guidance and best practices, thus enhancing the company’s footprint within predictive analytics and stimulating market growth.
Predictive Disease Analytics Market Report Highlights