IMARC Group’s latest research report, titled “Healthcare Predictive Analytics Market Size: Global Industry Trends, Share, Size, Growth, Opportunity, and Forecast 2022-2027,”  The global healthcare predictive analytics market reached a value of US$ 6.32 Billion in 2021. Looking forward, IMARC Group expects the market to reach a value of US$ 22.59 Billion by 2027, exhibiting a CAGR of 22.40% during 2022-2027. Healthcare predictive analytics refers to the advanced software solutions that automatically analyze data to improve the overall patient outcomes and provide effective care. It is widely utilized for remote monitoring, diagnosis, treatment course design, clinical decision support, care quality improvement, care cost reduction, and prognosis purposes. Healthcare predictive analytics can store large amounts of data, predict the patient response, provide a more personalized healthcare experience, etc. Furthermore, these software tools are based on the environment, risk factors, genetics, and medical history of the individual patient.

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Important Attribute and highlights of the Report:

  • Detailed analysis of the global market share
  • Market Segmentation by component, analytics type, delivery model, application, and end-user.
  • Historical, current, and projected size of the market in terms of volume and value
  • Latest industry trends and developments
  • Competitive Landscape for Healthcare Predictive Analytics Market
  • Strategies of major players and product offerings

The elevating digitalization levels across the healthcare sector are primarily driving the healthcare predictive analytics market. In addition to this, these tools are widely employed to improve efficiency in clinical operations and augment health outcomes via enhanced care and patient engagement, which is further catalyzing the market growth. Moreover, the increasing adoption of electronic health record (EHR) systems is acting as another significant growth-inducing factor. Apart from this, the integration of the internet of things (IoT) and Big Data solutions to assist in collecting patient records and test results and analyzing disease patterns is also positively influencing the global market. Furthermore, the extensive utilization of these software solutions by healthcare payers, owing to its cost-effectiveness, reduced number of unnecessary tests, fraud detection, improved decision-making, etc., is anticipated to fuel the healthcare predictive analytics market over the forecasted period.

Key Players Included in Global Healthcare Predictive Analytics Market Research Report:

  • Allscripts Healthcare Solutions
  • Cerner
  • IBM
  • Cotiviti
  • Oracle
  • Health Catalyst
  • Inovalon, Optum
  • Citiustech
  • Mckesson
  • Medeanalytics
  • SAS Institute
  • SCIO Health Analytics
  • Vitreoshealth
  • Wipro
  • Cognizant
  • Siemens Healthcare
  • Hewlett-Packard
  • Koninklijke Philips
  • GE Healthcare etc.

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COVID-19 Impact Overview:

We are regularly tracking the direct effect of COVID-19 on the market, along with the indirect influence of associated industries. These observations will be integrated into the report.

Key Market Segmentation:

Breakup by Component:

  • Services
  • Software
    • Electronic Health Record Software
    • Practice Management
    • Workforce Management
  • Hardware
    • Data Storage
    • Routers
    • Firewalls
    • Virtual Private Networks
    • E-Mail Servers
    • Others

Breakup by Analytics Type:

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Cognitive Analytics

Breakup by Delivery Model:

  • On-Premise Delivery Model
  • On-Demand Delivery Model

Breakup by Application:

  • Financial Analytics
  • Clinical Analytics
  • Operational Analytics
  • Others

Breakup by End-User:

  • Hospitals and Clinics
  • Finance and Insurance Agencies
  • Research Organizations

Breakup by Region:

  • North America
  • Europe
  • Asia Pacific
  • Middle East and Africa
  • Latin America

TOC for the Healthcare Predictive Analytics Market Research Report:

  • Preface
  • Scope and Methodology
  • Executive Summary
  • Introduction
  • Global Healthcare Predictive Analytics Market
  • SWOT Analysis
  • Value Chain Analysis
  • Price Analysis
  • Competitive Landscape

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