Lucintel's latest study found that, The future of the global healthcare predictive analytics market looks promising with opportunities in the payers and provider markets. The global healthcare predictive analytics market is expected to reach an estimated $34.1 billion by 2030 with a CAGR of 20.4% from 2024 to 2030. The major drivers for this market are the industry's growing need for advanced analytics tools in order to save costs and enhance patient outcomes, the growing popularity of individualized healthcare and the emphasis on value-based healthcare, and rising adoption of electronic health record.

In this market, operations management, financial, population health, and clinical are the major segments of healthcare predictive analytics market by application.

Lucintel forecasts that financial will remain the largest segment over the forecast period due to healthcare fraud costs billions annually, and predictive analytics helps insurers detect suspicious patterns and behaviors, preventing fraudulent claims and saving significant amounts of money.

Browse in depth TOC of the Healthcare Predictive Analytics Market

100 - Figures

150-Pages

Healthcare Predictive Analytics Market is marked by presence of several big and small players. IBM, Cerner, Verisk Analytics, Mckesson, SAS, Oracle, Allscripts, Optum, Medeanalytics, and OSP are the major suppliers in the healthcare predictive analytics market.

This unique research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or click on this link [email protected].