The global predictive disease analytics market size is expected to reach USD 14.04 billion by 2032, 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, 2023 - 2032” 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.
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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 US$ 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, US$ 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
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, 2019 - 2032)
Predictive Disease Analytics, Deployment Outlook (Revenue - USD Billion, 2019 - 2032)
Predictive Disease Analytics, End User Outlook (Revenue - USD Billion, 2019 - 2032)
Predictive Disease Analytics, Regional Outlook (Revenue - USD Billion, 2019-2032)
South Afric
Report Attributes |
Details |
Market size value in 2023 |
USD 2.36 billion |
Revenue forecast in 2032 |
USD 14.04 billion |
CAGR |
21.9% from 2023 – 2032 |
Base year |
2022 |
Historical data |
2019– 2022 |
Forecast period |
2023– 2032 |
Quantitative units |
Revenue in USD billion and CAGR from 2023 to 2032 |
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 |