Predictive Disease Analytics Market size was over USD 3.2 billion in 2024 and is anticipated to reach USD 34.4 billion by the end of 2037, expanding at a CAGR of 21.9% during the forecast timeline, i.e., 2025-2037. In 2025, the industry size of predictive disease analytics is estimated at USD 3.9 billion.
The market is driven by advanced technologies including AI and ML, and big data analytics in healthcare. These tools enable healthcare providers to predict the onset of diseases, personalized treatment plans, and improve patient outcomes. Rising healthcare costs and the demand for value-based care are also pushing stakeholders to invest in the market to enhance efficiency and reduce unnecessary interventions.
The predictive disease analytics market is expected to grow owing to advancements in genomic data, cloud computing, and the integration of IoT in healthcare. The shift towards personalized medicines and precision healthcare is likely to drive innovation in predictive disease analytics. In July 2024, Evidium announced the development of a healthcare AI platform for health systems, clinicians, insurers, and pharma companies. The development is made in collaboration with Oracle Cloud Infrastructure (OCI) aiming to make AI technology reliable for healthcare organizations worldwide. Such developments are also projected to boost the predictive diseases analytics market globally.
Growth Drivers
Challenges
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Base Year |
2024 |
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Forecast Year |
2025-2037 |
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CAGR |
21.9% |
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Base Year Market Size (2024) |
USD 3.2 billion |
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Forecast Year Market Size (2037) |
USD 34.4 billion |
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Regional Scope |
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Component (Software, Services)
In component, the software segment is anticipated to register the highest growth during the forecast period owing to its crucial role in data processing, modeling, and providing actionable insights. Predictive analytics software enables healthcare providers and payers to harness large datasets, apply ML algorithms, and generate forecasts for disease progressions and treatment outcomes. For instance, in December 2020, Amazon Web Services announced the launch of Amazon HealthLake. It is verified by HIPAA, allowing pharmaceutical companies healthcare providers, and health insurance companies, to stock, transform, request, and analyze health data at a petabyte scale. The analytics software is also essential for integrating data from various sources, including EHRs, wearable devices, and genomic data, hence, boosting the predictive disease analytics market.
End use (Healthcare payers, Healthcare providers)
In end use, the healthcare payers segment is projected to witness significant growth, registering a share of 75.6% in the year 2037. This is due to their focus on cost containment and improving healthcare outcomes. Payers, such as insurance companies and government healthcare programs, benefit significantly from predictive analytics by identifying high-risk patients. By leveraging predictive models, payers can forecast future healthcare costs, implement preventive care programs, and design value-based payment models that incentivize better patient management. For instance, in February 2021, Swiss Re and Diameter Health announced a collaboration to offer the first-ever scalable solution to use electronic clinical health data for life insurance underwriting.
Our in-depth analysis of the predictive disease analytics market includes the following segments:
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Component |
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Deployment |
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End use |
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APAC Market Statistics
The predictive disease analytics market in APAC is growing rapidly due to increasing healthcare digitization, government support for AI and big data initiatives, and the rising number of chronic disease cases. The region’s large population, combined with a rising focus on preventive healthcare and value-based care, makes it a fertile ground for predictive analytics. The rise of telemedicine and mobile health solutions further accelerates the adoption of these models across the Asia Pacific. For instance, Mobile-health Network Solutions, a telehealth provider in APAC registered a growth of 4.5 times in revenue, from USD 1.5 million to USD 6.7 million, in June 2023.
India predictive disease analytics market is driven majorly by chronic diseases such as hypertension and diabetes. The rapidly growing digital health ecosystem is further accelerating the market growth. Healthcare digitalization initiatives by the local government including the National Digital Health Mission aim to standardize EHRs, providing a foundation for predictive analytics. The increasing use of mHealth applications and wearable devices is also contributing to data generation for productive models in the country.
The predictive disease analytics market in China is driven by its large population, rising healthcare expenditure, and the local government’s Healthy China 2030 initiative. Widespread use of big data and AI, supported by government policies is fostering the China market growth further. Robust infrastructure for genomic research and precision medicine is enabling early detection and prevention of diseases, particularly in cancer care. The push for personalized medicine and smart healthcare solutions continues to be a key trend
North America Market Analysis
The presence of prominent players in the predictive disease analytics market in North America is one of the key driving factors of the region. For instance, in September 2021, Health Choice Network announced a partnership with Epic worth USD 400.0 million, aiming to expand the technology offerings for its providers. It is home to one of the largest advanced healthcare infrastructures globally, with high expenditures, and increasing adoption of technology in healthcare. A significant focus on value-based care and outcomes-driven reimbursement models is pushing healthcare providers and payers to utilize predictive analytics for cost reduction, and better patient management.
The U.S. predictive disease analytics market is robust, fueled by a combination of high demand for personalized medicine, and regulatory support for healthcare innovation. Major healthcare systems and insurers are increasingly using predictive analytics to streamline operations. Furthermore, the push for interoperability among health information systems is enhancing data sharing and collaboration, further driving the adoption across the U.S. healthcare landscape.
Canada predictive disease analytics market is gaining momentum largely due to the government’s commitment to enhancing healthcare quality and efficiency through technology. Initiatives such as Digital Health Strategy aim to leverage data analytics for improved patient care and resource management. Canada’s strong emphasis on research and innovation is facilitating the development of advanced predictive models. Additionally, the integration of predictive analytics into population health initiatives is becoming a significant trend in the country.
Companies are participating in several growth initiatives such as forming strategic partnerships, and collaborations. Investment in R&D has also been considered a priority, enabling the creation of innovative predictive models tailored to specific diseases and patient populations. Additionally, companies are also focusing on product expansions by incorporating ML and AI capabilities into their analytics solutions. For instance, in September 2023, Google and Apollo Hospitals expanded their partnership aiming to provide an omnichannel healthcare experience in India with online doctor consultations, improved clinician decision-making, telemedicine services, and home delivery of medication.
Author Credits: Radhika Pawar
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