1. Table of Contents

• 1.1 List of Tables
• 1.2 List of Figures

2. Executive Summary

• 2.1 Report Guide
• 2.2 Methodology
• 2.3 Market Segmentation
• 2.4 Healthcare Predictive Analytics Market- Key Findings, 2020

3. Strategic Imperatives on Global Healthcare Predictive Analytics Market

• 3.1 COVID-19 Impact Analysis
• 3.2 Market Trends- Across Types, Applications, End User Types, Countries
• 3.3 Insights into Main Market Categories
• 3.4 Market Drivers and Restraints
• 3.5 Growth Opportunities Critical for Future Success
• 3.6 Key Healthcare Predictive Analytics Companies

4. Global Healthcare Predictive Analytics Market Value Outlook to 2026 Outlook by Application

• 4.1 Operations Management
  • 4.1.1 Demand Forecasting
  • 4.1.2 Workforce Planning and Scheduling
  • 4.1.3 Inpatient Scheduling
  • 4.1.4 Outpatient Scheduling
• 4.2 Financial
  • 4.2.1 Revenue Cycle Management
  • 4.2.2 Fraud Detection
  • 4.2.3 Other Financial Applications
• 4.3 Population Health Management
  • 4.3.1 Population Risk Management
  • 4.3.2 Patient Engagement
  • 4.3.3 Population Therapy Management
  • 4.3.4 Others
• 4.4 Clinical
  • 4.4.1 Quality Benchmarking
  • 4.4.2 Patient Care Enhancement
  • 4.4.3 Clinical Outcome Analysis and Management

5. Global Healthcare Predictive Analytics Market Value Outlook to 2026 Outlook by End-Use

• 5.1 Healthcare Payers
• 5.2 Healthcare Providers
• 5.3 Others

6 Asia Pacific Healthcare Predictive Analytics Market Value Outlook to 2026

• 6.1 Leading Healthcare Predictive Analytics Types contributing to Asia Pacific market
• 6.2 Top Applications contributing to Asia Pacific Healthcare Predictive Analytics
• 6.3 Top countries contributing to Asia Pacific Healthcare Predictive Analytics

7 Europe Healthcare Predictive Analytics Market Value Outlook to 2026

• 7.1 Leading Healthcare Predictive Analytics Types contributing to Europe market
• 7.2 Top Applications contributing to Europe Healthcare Predictive Analytics
• 7.3 Top countries contributing to Europe Healthcare Predictive Analytics

8 North America Healthcare Predictive Analytics Market Value Outlook to 2026

• 8.1 Leading Healthcare Predictive Analytics Types contributing to North America market
• 8.2 Top Applications contributing to North America Healthcare Predictive Analytics
• 8.3 Top countries contributing to North America Healthcare Predictive Analytics

9 South and Central America Healthcare Predictive Analytics Market Value Outlook to 2026

• 9.1 Leading Healthcare Predictive Analytics Types contributing to South and Central America market
• 9.2 Top Applications contributing to South and Central America Healthcare Predictive Analytics
• 9.3 Top countries contributing to South and Central America Healthcare Predictive Analytics

10 Middle East Africa Healthcare Predictive Analytics Market Value Outlook to 2026

• 10.1 Leading Healthcare Predictive Analytics Types contributing to Middle East Africa market
• 10.2 Top Applications contributing to Middle East Africa Healthcare Predictive Analytics
• 10.3 Top countries contributing to Middle East Africa Healthcare Predictive Analytics

11 Business Profiles of Leading Companies

• 11.1 Business Description, SWOT and Financial Analysis of Companies in Healthcare Predictive Analytics market
• 11.2 IBM
• 11.3 Allscripts
• 11.4 Cerner Corporation
• 11.5 McKesson Corporation
• 11.6 MEDai
• 11.7 MedeAnalytics, Inc.
• 11.8 Optum Health Inc.
• 11.9 Oracle
• 11.10 SAS
• 11.11 Verisk Analytics Inc.

12 Recent Industry Developments

13 Appendix

• 13.1 OGAnalysis Expertise
• 13.2 Sources and Methodology

The study predicts the short term and long term trends that can shape up the future of the Healthcare Predictive Analytics market including the COVID-19 pandemic implications for Healthcare Predictive Analyticss industry. The report presents market size forecasts across types, applications, end users and countries across regions. Strategic imperatives for development managers, decision makers and industry professionals including market trends, drivers, challenges, five forces analysis, insights on markets and companies.

The Healthcare Predictive Analytics market forecast report identifies growth opportunities in the market and how companies are reacting to the current market conditions. Healthcare Predictive Analytics Companies are focusing on improving efficiency and containing costs in current COVID-19 market conditions. Healthcare Predictive Analytics market forecast and Healthcare Predictive Analytics market growth is outlook through 2026.

The report reflects on predictions with 2019 as the base year and 2020- 2026 as the forecast period. The research was based on the findings of expert team of analysts analyzing the Healthcare Predictive Analytics market opportunities, underlying market factors, demographic and economic factors, market developments and others.

Healthcare Predictive Analytics industry size is estimated to register strong growth over the forecast period driven by ongoing investments in product diversification and expansion strategies in developing countries in Asia Pacific and South and Central America while opting for strengthening Healthcare Predictive Analytics market share in developed countries.

Scope of the research-

Global Healthcare Predictive Analytics Market is analyzed and forecast over the outlook period from 2020 to 2026 By application including
Operations Management
Demand Forecasting
Workforce Planning and Scheduling
Inpatient Scheduling
Outpatient Scheduling

Financial
Revenue Cycle Management
Fraud Detection
Other Financial Applications

Population Health Management
Population Risk Management
Patient Engagement
Population Therapy Management
Others

Clinical
Quality Benchmarking
Patient Care Enhancement
Clinical Outcome Analysis and Management

Global Healthcare Predictive Analytics Market is analyzed and forecast over the outlook period from 2020 to 2026 By End-Use
Healthcare Payers
Healthcare Providers
Others

Top Companies Operating in Healthcare Predictive Analytics market include- IBM , Allscripts  , Cerner Corporation , McKesson Corporation , MEDai , MedeAnalytics, Inc. , Optum Health Inc. , Oracle , 1SAS , 1Verisk Analytics Inc.