Disease Forecasting Platform Market Report 2025

The disease forecasting platform market size has grown exponentially in recent years. It will grow from $2.22 billion in 2024 to $2.76 billion in 2025 at a compound annual growth rate (CAGR) of 24%. The growth in the historic period can be attributed to increasing outbreaks of infectious diseases, government emphasis on public health preparedness, wider adoption of cloud-based healthcare solutions, greater use of big data and epidemiological modeling, and integration of IoT-enabled health monitoring systems.

The disease forecasting platform market size is expected to see exponential growth in the next few years. It will grow to $6.44 billion in 2029 at a compound annual growth rate (CAGR) of 23.7%. The growth in the forecast period can be attributed to the expansion of precision medicine programs, rising demand for real-time disease surveillance, growing collaboration between healthcare and technology companies, increased investment in digital health infrastructure, and adoption of advanced data visualization and dashboard tools. Key trends in the forecast period include integration of generative artificial intelligence for predictive modeling, use of federated learning for secure data sharing, implementation of blockchain for transparent health data management, deployment of edge computing for faster analysis, and development of digital twins for disease simulation.

The rising prevalence of non-communicable diseases is expected to drive growth in the disease forecasting platform market. Non-communicable diseases are medical conditions that are not contagious and typically develop due to genetic, lifestyle, or environmental factors, including heart disease, diabetes, and cancer. These diseases are increasing due to unhealthy behaviors such as poor diet, smoking, and physical inactivity. Disease forecasting platforms aid in managing non-communicable diseases by using big data analytics, machine learning, and real-time health monitoring to predict disease trends, identify high-risk groups, enable early interventions, and guide personalized prevention strategies. These efforts improve public health outcomes and reduce the burden of chronic illnesses. For example, the World Health Organization (WHO), a United Nations specialized agency based in Switzerland, reported that in 2022, 41 million deaths globally - 74% of all deaths - were caused by chronic diseases. These included 17.9 million deaths from cardiovascular diseases, 9.3 million from cancer, 4.1 million from chronic respiratory diseases, and 2 million from diabetes. This growing prevalence is fueling demand for disease forecasting platforms.

Key companies in this market are adopting artificial intelligence-driven predictive analytics to enable real-time disease surveillance and support proactive public health responses. AI-driven predictive analytics involves applying AI technologies such as machine learning and statistical modeling to forecast future disease patterns, detect anomalies early, and provide actionable insights for timely interventions and resource management. For instance, in July 2025, Seegene Inc., a biotechnology company based in South Korea, launched the STAgora platform. This platform integrates PCR-based diagnostic data with over 40 advanced AI and statistical tools to offer real-time global visualization of infectious disease trends. It supports early detection of abnormal pathogen activity, predictive outbreak modeling, and situational awareness from local to global levels. Designed as a real-time infectious disease intelligence system, STAgora enhances rapid situational awareness and enables proactive public health action.

In March 2024, Healthy Together, a US-based health technology company specializing in SaaS solutions, acquired Kinsa Health for an undisclosed sum. This acquisition enables Healthy Together to incorporate Kinsa Health’s AI-powered illness forecasting technology into its SaaS offerings, strengthening real-time disease surveillance, expanding into new markets, and delivering early outbreak detection and predictive insights to public and private healthcare organizations. Kinsa Health, based in the US, provides AI-driven illness forecasting tools that use smart thermometers, mobile apps, and predictive analytics to offer real-time early warnings and track community-level infectious disease trends.

Major players in the disease forecasting platform market are International Business Machines Corporation, Oracle Corporation, Metabiota Inc., SAS Institute Inc., Tempus AI Inc., HealthVerity Inc., Airfinity Ltd., Quantori LLC, ProMED-mail Inc., EcoHealth Alliance Inc., BlueDot Inc., Hyfe Inc., Biobot Analytics Inc., Cayaba Care Inc., EPIWATCH Pty Ltd, GIDEON Informatics Inc., Kinsa Inc., Epistemix, Epidemico Inc., EpiDetect AI Inc.

North America was the largest region in the disease forecasting platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in disease forecasting platform report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the disease forecasting platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

A disease forecasting platform is a digital system that leverages data analytics, artificial intelligence, and predictive modeling to predict the spread, severity, and impact of diseases. It combines real-time health, environmental, and demographic data to provide early warnings. These insights support timely interventions, resource allocation, and mitigation of outbreak risks.

The primary components of a disease forecasting platform are software, hardware, and services. Software includes the programs, applications, and algorithms used to process, analyze, and visualize health data, enabling predictive modeling, simulation, and reporting of disease trends. Deployment modes include cloud-based and on-premises solutions. Applications cover infectious disease surveillance, chronic disease management, epidemiology, public health, and others. These platforms are utilized by hospitals and clinics, government and public health agencies, research institutions, pharmaceutical companies, and other end-users.

The disease forecasting platform market research report is one of a series of new reports that provides disease forecasting platform market statistics, including disease forecasting platform industry global market size, regional shares, competitors with a disease forecasting platform market share, detailed disease forecasting platform market segments, market trends and opportunities, and any further data you may need to thrive in the disease forecasting platform industry. The disease forecasting platform market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The disease forecasting platform market consists of revenues earned by entities by providing services such as data collection, data integration, predictive modeling, real-time monitoring, analytics and visualization. The market value includes the value of related goods sold by the service provider or included within the service offering. The disease forecasting platform market also includes sales of sensors, servers, data storage systems, networking equipment, edge devices, and monitoring devices. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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