Predictive analytics in healthcare refers to the analysis of current and historical healthcare data that allows healthcare professionals to find opportunities to make more effective and more efficient operational and clinical decisions, predict trends, and even manage the spread of the diseases. Clinicians, healthcare organizations, and health insurance companies use predictive analytics to articulate the likelihood of their patients developing certain medical conditions, such as cardiac problems, diabetes, stroke, or COPD, among others. It is useful at every step in a patient's journey, including diagnosis, prognosis, and treatment.

Market Dynamics:

Rising burden of chronic diseases, growing pressure to curb healthcare spending and improve patient outcomes, need of increasing efficiency in the healthcare sector, and use of analytics in precision and personalized medicine are some major factors expected to drive growth of the global healthcare predictive analytics market.

For instance, in September 2021, Sensyne Health Plc announces the launch of SENSIGHT, an AI enabled data analytics platform for the healthcare and life sciences sector. The new analytics platform is built on a rapidly growing, deep and broad set of de-identified patient data derived from the research partnerships Sensyne has entered into with the U.S. Health Systems and NHS Hospital Trusts in the U.K. that currently covers more than 22.5 million patients across a range of disease areas. The platform will evolve rapidly, adding researchable disease areas, analytical tools and patient data towards a planned data set of 100 million patients by 2024.

Key features of the study:

• This report provides in-depth analysis of the global healthcare predictive analytics market, and provides market size (US$ Million) and compound annual growth rate (CAGR %) for the forecast period (2022–2028), considering 2021 as the base year.
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
• It profiles key players in the global healthcare predictive analytics market based on the following parameters such as company highlights, products portfolio, key highlights, financial performance, and strategies.
• Key companies covered as a part of this study include Optum, Inc., Health Catalyst, Allscripts Healthcare Solutions, Medeanalytics, Inc., Mckesson Corporation, Oracle Corporation, Cerner Corporation, Information builders, Inc., and International Business Machines Corporation (IBM), among others.
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
• The global healthcare predictive analytics market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global healthcare predictive analytics market.

Detailed Segmentation:

• Global Healthcare Predictive Analytics Market, By Application:
• • Clinical Data Analytics
  • Financial Data Analytics
  • Administrative Data Analytics
  • Research Data Analytics
• Global Healthcare Predictive Analytics Market, By Component:
• • Software
  • Hardware
  • Services
• Global Healthcare Predictive Analytics Market, By Deployment:
• • On Premise
  • Cloud Based
• Global Healthcare Predictive Analytics Market, By End-User:
• • Healthcare Providers
  • Industry
  • Research Institutions
• Global Healthcare Predictive Analytics Market, By Region:
• • North America
  • Europe
  • Asia-Pacific
  • Middle East
  • Africa
  • South America
• Company Profiles:
• • Optum, Inc.
  • Health Catalyst
  • Allscripts Healthcare Solutions
  • Medeanalytics, Inc.
  • Mckesson Corporation
  • Oracle Corporation
  • Cerner Corporation
  • Information builders Inc.
  • International Business Machines Corporation (IBM)