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

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

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.

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

Software segment is expected to lead the global market share in 2022 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 2022. This is attributed to the growing adoption of predictive disease analytics tools among many payers

North America held the largest share in 2022 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.

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)

Software

Service

Hardware

Predictive Disease Analytics, Deployment Outlook (Revenue - USD Billion, 2019 - 2032)

On-premises

Cloud-based

Predictive Disease Analytics, End User Outlook (Revenue - USD Billion, 2019 - 2032)

Healthcare payers

Healthcare providers

Others

Predictive Disease Analytics, Regional Outlook (Revenue - USD Billion, 2019-2032)

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 Africa