Predictive Disease Analytics Market Size Worth USD 20.64 Billion By 2034 | CAGR: 21.9%
The global predictive disease analytics market size is expected to reach USD 20.64 billion by 2034, according to a new study by Polaris Market Research. The report “Predictive Disease Analytics Market Share, Size, Trends, Industry Analysis Report, By Component (Software, Service, and Hardware); By Deployment; By End User; By Region; Segment Forecast, 2025 - 2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.
Predictive disease analytics in healthcare has significantly improved care and enhanced outcomes by implementing various technologies such as artificial intelligence, data mining, statistics, etc. For instance, in November 2022, Zephyr AI & MedStar Health partnered to develop their AI-based product, which enhances predictive analytical capabilities for chronic diseases. AI & machine learning are keys to unlocking patient data and solving various complex problems in healthcare. With technological development, predictive analytics have tremendously impacted the overall healthcare industry.
Healthcare has been digitized for many years, creating massive patient care and outcomes changes. Providers and health systems are exploring diverse methods to use big data platforms and AI for predictive analytics. For example, Penn Medicine observed that the predictive model could recognize almost 85% of sepsis cases. It also recognized between 20 and 30% of heart failure patients who had not been appropriately identified. The accuracy of these solutions is largely improving the demand for analytics. These solutions are assisting health organizations in transitioning from merely learning what has already occurred to using that data to more consistently forecast what will occur.
Government support is playing a huge role in helping to improve global revenue. The governments of several countries worldwide are investing millions of dollars in predictive disease analytics. For example, in March 2023, the UK government committed over USD 16.9 million to businesses at the forefront of this field in an effort to employ artificial intelligence (AI) to enhance patient diagnostics. Over three rounds of awards, USD 130 million has been spent on 86 AI solutions, assisting over 300,000 patients and enhancing their care and treatment for illnesses like cancer, heart disease, diabetes, mental illness, and neurological disorders. This factor is boosting the market’s revenue globally.
Predictive Disease Analytics Market Report Highlights
- Software segment is expected to lead the global market share in 2024 primarily due to growing digitalization across the globe
- Cloud-based segment is expected to grow with the fastest CAGR due to largely expanding user engagement, improved efficiency, and flexibility
- Healthcare payer segment was dominating the global market share in 2024. This is attributed to the growing adoption of predictive disease analytics tools among many payers
- North America held the largest share in 2024 due to the presence of several market leaders in the region, increasing cases of chronic diseases, and growing healthcare expenditure
- The global predictive disease analytics market involves Oracle, IBM, SAS, Allscripts Healthcare Solutions, MedeAnalytics, Health Catalyst, and Apixio.
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Polaris Market Research has segmented the predictive disease analytics market report based on component, deployment, end-user, and region:
Predictive Disease Analytics, Component Outlook (Revenue - USD Billion, 2020 - 2034)
- Software
- Service
- Hardware
Predictive Disease Analytics, Deployment Outlook (Revenue - USD Billion, 2020 - 2034)
- On-premises
- Cloud-based
Predictive Disease Analytics, End User Outlook (Revenue - USD Billion, 2020 - 2034)
- Healthcare payers
- Healthcare providers
- Others
Predictive Disease Analytics, Regional Outlook (Revenue - USD Billion, 2020-2034)
- North America
- U.S.
- Canada
- Europe
- Germany
- UK
- France
- Italy
- Spain
- Russia
- Netherlands
- Asia Pacific
- China
- India
- Japan
- South Korea
- Indonesia
- Malaysia
- Latin America
- Argentina
- Brazil
- Mexico
- Middle East & Africa
- UAE
- Saudi Arabia
- Israel
-
South Afric
Predictive Disease Analytics Market Report Scope
| Report Attributes | Details |
| Market size value in 2024 | USD 2.86 billion |
| Market size value in 2024 | USD 3.46 billion |
| Revenue forecast in 2034 | USD 20.64 billion |
| CAGR | 21.9% from 2025 – 2034 |
| Base year | 2024 |
| Historical data | 2020– 2023 |
| Forecast period | 2025– 2034 |
| Quantitative units | Revenue in USD billion and CAGR from 2025 to 2034 |
| Segments covered | By Component, By Deployment, By End User, By Region |
| Regional scope | North America, Europe, Asia Pacific, Latin America; Middle East & Africa |
| Key companies | Oracle, IBM, SAS, Allscripts Healthcare Solutions Inc., MedeAnalytics, Inc., Health Catalyst, and Apixio Inc. |
| For Specific Research Requirements |
