Factors such as the large number of fraudulent activities in healthcare; increasing number of patients seeking health insurance; the prepayment review model; growing pressure of fraud, waste, and abuse on healthcare spending; and high returns on investments are driving the growth of the healthcare fraud detection market. The prescriptive analytics segment is expected grow at a highest CAGR during the forecast period.
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The global Healthcare Fraud Detection market is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on Healthcare Fraud Detection volume and value at global level, regional level and company level. From a global perspective, this report represents overall Healthcare Fraud Detection market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
Key companies profiled in Healthcare Fraud Detection Market report are IBM (US), Optum (US), SAS (US), McKesson (US), SCIO (US), Verscend (US), Wipro (India), Conduent (US), HCL (India), CGI (Canada), DXC (US), Northrop Grumman (US), LexisNexis (US), Pondera (US) and more in term of company basic information, Product Introduction, Application, Specification, Production, Revenue, Price and Gross Margin (2014-2019), etc.
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Table of Content
1 Healthcare Fraud Detection Market Overview
2 Global Healthcare Fraud Detection Market Competition by Manufacturers
3 Global Healthcare Fraud Detection Production Market Share by Regions
4 Global Healthcare Fraud Detection Consumption by Regions
5 Global Healthcare Fraud Detection Production, Revenue, Price Trend by Type
6 Global Healthcare Fraud Detection Market Analysis by Applications
7 Company Profiles and Key Figures in Healthcare Fraud Detection Business
8 Healthcare Fraud Detection Manufacturing Cost Analysis
9 Marketing Channel, Distributors and Customers
10 Market Dynamics
11 Global Healthcare Fraud Detection Market Forecast
12 Research Findings and Conclusion
13 Methodology and Data Source