Download Sample
Schedule a Meeting
NA : +1 804 441 9344
sales@towardshealthcare.com
October 2025
The global predictive disease analytics market size is calculated at US$ 3.12 billion in 2024, grew to US$ 3.83 billion in 2025, and is projected to reach around US$ 24.23 billion by 2034. The market is expanding at a CAGR of 22.75% between 2025 and 2034.
The huge adoption of predictive analytics by healthcare systems aims to deliver effective treatments and manage resources efficiently, driving the predictive disease analytics market. The greatest forms of predictive healthcare include digitalization, electronic health records, big data analytical models, and machine learning. This approach helps healthcare professionals to drive early diagnosis of diseases, promising therapeutics, and optimal usage of resources. The use of sophisticated data analysis methods and a vast amount of data helps to achieve better clinical results, optimize organizational performance, and drive innovations in patient care services.
| Table | Scope |
| Market Size in 2025 | USD 3.83 Billion |
| Projected Market Size in 2034 | USD 24.23 Billion |
| CAGR (2025 - 2034) | 22.75% |
| Leading Region | North America |
| Market Segmentation | By Component, By Deployment Mode, By Disease Area, By Technology, By Application, By Region |
| Top Key Players | IBM Watson Health, SAS Institute, Oracle Health, Microsoft Healthcare, Google Health, Cerner Corporation, Health Catalyst, Optum, Philips Healthcare, GE HealthCare, Siemens Healthineers, IQVIA, Prognos Health, Tempus, Palantir Technologies |
The expansion of the predictive disease analytics market is driven by vast data sources, cloud-based solutions, and AI and machine learning integration led to the development of personalized medicine, enabled early detection of diseases and their intervention, and improved operational efficiency. Predictive disease analytics refers to the application of advanced analytics, AI, and machine learning models on clinical, genomic, lifestyle, and environmental data to predict the onset, progression, and outcomes of diseases. These solutions enable early intervention, precision prevention, resource optimization, and improved patient outcomes across healthcare systems and life sciences research.
In September 2025, MyWay Digital Health raised £3 million in investment from Foresight Group for AI-powered chronic disease solutions that will help to develop new AI-enabled products, including personalized care pathways and predictive analytics.
The funding round led by the emerging and leading companies aims to boost the development of diagnostic tools that provide early and accurate disease detection, improve patient outcomes, and reduce healthcare costs. For instance, in August 2025, InnovateAI, a revolutionary AI startup, successfully secured $50 million in series B funding, led by TechVentures Capital, along with Alpha Investments and HealthTech Partners, to accelerate its research and development efforts in its new AI-powered diagnostic tool, MediPredict.
The funding also aims to establish new product offerings for biopharmaceutical clients. For instance, in October 2024, Aignostics secured $34 million in a series B funding round to enhance precision medicine with AI that will support new product offerings, expand into the U.S., and develop pathology foundation models.
| Sr. No. | Industry | Purpose | Used by Industry |
| 1 | Healthcare | To predict patient outcomes | Mayo Clinic |
| Sr. No. | Name of the Tool |
| 1 | Altair AI Studio |
| 2 | Alteryx AI Platform |
| 3 | Dataiku |
| 4 | H2O Driverless AI |
| 5 | IBM Watson Studio |
| 6 | Microsoft Azure Machine Learning |
| 7 | SAP Analytics Cloud |
| 8 | SAS |
The software/platform segment dominated the market in 2024, owing to the critical role of predictive analytics platforms in process automation and real-time prediction of diseases. The software and related platforms remain proactive strategic assets that are accessible and integrated for organizations. These platforms offer automated machine learning and support with real-time data processing.
The services segment is expected to grow at the fastest CAGR in the market during the forecast period due to the core role of different technological and regulatory services in data governance, security, ethics, and quality management. They address and resolve complexities through advanced AI/ML, and introduce cost-effectiveness through outsourcing predictive analytics. They identify real-time needs and enable data-driven decisions.
The cloud-based segment dominated the market in 2024, owing to the definitive role of cloud computing in offering scalability, cost-efficiency, and real-time data processing. The wide access to advanced AI and ML tools and data integration is driven by enhanced collaborations. The cloud-based solutions are in high demand over traditional on-premise deployments.
The hybrid segment is estimated to grow at the fastest rate in the market during the predicted timeframe due to optimized performance with hybrid clouds and real-time insights with edge analytics. Hybrid modeling offers greater accuracy and resilience by combining deep learning and traditional machine learning. Hybrid intelligence improves decision-making by empowering users with augmented analytics and promoting trust with Explainable AI.
The oncology segment dominated the market in 2024, owing to the potential of predictive analytics to enhance and personalize all stages of cancer care. AI-driven technologies are vital in diagnostics, treatment planning, management of patient outcomes, and operational efficiency. AI-driven models assist clinicians in making more data-driven and informed decisions.
The neurological disorders segment is anticipated to grow at a notable rate in the market during the upcoming period due to the transformation of neurology through early diagnosis and personalized treatment, and prognosis. The remote monitoring and support with the help of wearable devices and telemedicine improve patient care. The biomarker discovery and efficient learning of technologies accelerated research and development in neurology.
The artificial intelligence segment dominated the market in 2024, owing to the huge contribution of AI to risk profiling, early disease alerts, personalized treatment, genomic scoring, resource forecasting, and predictive maintenance. AI prevents complications through early detection of health conditions, enhances safety through personalized plans, and reduces costs through optimized operations. It reduces readmissions of patients to hospitals, allows shorter stays, and enables better use of resources.
The natural language processing segment is predicted to grow at a rapid rate in the market during the studied period due to its key function in the prediction of market trends and forecasting product demands. The NLP helps in early risk detection and complex analysis. It connects data sources, enables real-time decision-making, and offers enhanced output.
The population health management segment dominated the market in 2024, owing to the emerging need to identify high-risk populations and predict disease outbreaks. AI, ML, and related technologies help to tailor personalized treatment plans and reduce hospital readmissions. The advanced tools increase patient engagement and streamline resource allocation.
The personalized/precision medicine segment is expected to grow at the fastest CAGR in the market during the forecast period due to improved drug selection, risk prediction, early intervention, and treatment planning. The optimized drug dosage and continuous health monitoring are expanding healthcare services. The clinical trials are improved by predictive analytics, which also enables more precise patient selection.
North America dominated the market in 2024, owing to the major programs, partnerships, and initiatives across North American countries like the U.S., Canada, and Mexico. The launched or funded initiatives of predictive analytics in healthcare are led by North American government agencies. These efforts aim to improve efficiency, support the adoption of healthcare IT, and identify high-risk patients. The expansion of healthcare IT, the adoption of AI in healthcare, and action plans help to set a regulatory framework in healthcare. The platforms related to AI and data analytics focus on modernizing Medicaid systems and public health.
The U.S. Centers for Disease Control and Prevention (CDC) is committed to using AI/ML for operational efficiency, innovation, and fighting against infectious diseases. The White House released an AI action plan for improving healthcare. The U.S. federal government's efforts focus on creating data infrastructure, providing strategic guidance, and investing in R&D to promote the use of AI and predictive analytics in healthcare.
In July 2025, the Trump Administration announced the launch of a new private health tracking system with Big Tech’s assistance.
AI is transforming clinical care across Canada Working Group that represents AI-driven clinical initiatives in Canadian healthcare delivery. The Canadian Association of Professionals in Regulatory Affairs reported AI as a global regulatory approach in precision healthcare. The Government of Canada supports AI-driven healthcare solutions.
Asia Pacific is expected to grow at the fastest CAGR in the market during the forecast period due to the growing and expanding healthcare sector in this region. Asia Pacific is experiencing a surge in clinical data through the integration of AI, GenAI, and Agentic AI. These rising trends in the healthcare IT sector aim to introduce workflow efficiency and effectiveness, and workforce productivity. Moreover, the other emerging trends include telemedicine, new patient-centric care models, home healthcare, and AI-driven workflow automation, which are expanding healthcare systems in the Asia Pacific. AI and GenAI result in improved clinician efficiency and personalized patient experience, which improves trust of the patient population in technologies and patient care.
The top research institutes in India, like AIIMS, Narayana Health, or Tata Memorial, are dedicated to adopting and implementing modern technologies in their research and development efforts related to healthcare, patient care, etc. The well-established and well-organized infrastructure and coordinating teams of these organizations enhance the trust of the patient population in modern healthcare systems. Predictive analytics is becoming a trusted and reliable tool for clinical decision-making.
The Chinese government is making efforts to formulate or revise 30 smart digital standards for the pharmaceutical industry. It has also planned to develop and promote over 100 high-quality and high-performance products in areas such as the pharmaceutical industry, software, and testing equipment. China is stepping forward to accelerate innovations in healthcare and medical services, medical devices, pharmaceuticals, Chinese medicines, clinical trials, digitalization, and smart technologies.
In June 2025, the Ministry of Industry and Information Technology of China, along with six other government departments, released its new implementation plan for the digitalized pharmaceutical industry.
Europe is expected to experience notable growth in the market in 2024. This regional growth is attributed to the significant efforts of government organizations to advance digital health. The European Commission reported a study conducted on the analysis of the deployment of artificial intelligence in healthcare across the European Union. Healthcare and IT Research across Europe aims to introduce service efficiency, improved patient care, and diagnostic accuracy. The major initiatives address regulatory complexity, funding challenges, and some other issues. The government measures support safe, ethical, and effective AI integration, common data governance standards, coordinated funding, and dedicated centers of excellence.
In July 2024, the World Health Organization (WHO) launched a Strategic Partners’ Initiative that is intended for a collaboration network named ‘Data and Digital Health (SPI-DDH)’ for advancing data and digital health solutions. It will bring together 53 member states of the WHO European region and leading partners in the sectors of data and digital health.
Germany holds the strongest economy among other countries in Europe, while other European countries have already adopted e-health services, e-prescriptions, and electronic health records. Germany introduced its new strategy to bring healthcare to the forefront in the 21st century, which aims to encourage lower mortality, less paperwork, early recognition of complications, and reduced mismedication. It has also planned to recognize risks faster, reduce radiation exposure, reduce the workload of caregivers and their families, and give more time for patients.
France launched its national strategy on data and AI in healthcare for 2025-2028. It aims to transform patient care through ethical frameworks, large-scale datasets, and AI innovations, driving more efficient and trusted healthcare. France aims to establish robust infrastructures, maintain citizen trust, and foster innovation.
By Component
By Deployment Mode
By Disease Area
By Technology
By Application
By Region
The global marine pharmaceuticals market was valued at USD 6.19 B in 2024 and is projected to reach USD 10.34 B by 2034 at a 5.29% CAGR. Covers NA, ...
October 2025
September 2025
September 2025
September 2025