Bharat Book Bureau Provides the Trending Market Research Report on “Global Healthcare Fraud Analytics And Detection Market 2019-2028” under Healthcare Category. The report offers a collection of superior market research, market analysis, competitive intelligence and Market reports.
According to an analysis, the global Healthcare Fraud Analytics And Detection Market is predicted to grow at a CAGR of 23.63% during the forecasting period 2019-2028.
The rising healthcare expenditure across the world is leading to the growth in the insurance facilities, thus driving the growth of the healthcare fraud analytics and detection market in the coming years. There is an increase in the number of people opting for health insurance worldwide. This is also likely to aid the market growth. However, the unwillingness to adopt the system in developing or undeveloped countries is hampering this growth. Besides, the huge cost of this system is also challenging the growth of the studied market. Key opportunities like the alarming rise in the fraudulent activities must be leveraged to reach the projected growth.
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The global market report covers the countries from North America, Europe, the Asia-Pacific, Latin America and the Middle East and Africa.
Asia-Pacific is likely to be the fastest-growing region for the healthcare fraud analytics and detection market in the world. Governments of different countries are implementing several initiatives to improve the healthcare sector. Besides, the ever-increasing cases of fraud in the healthcare industry are resulting in a huge loss for the insurers. This is creating a demand for healthcare fraud analytics and detection in the market. The presence of big market players in the region is also favoring market growth.
The major companies in the healthcare fraud analytics and detection market are Northrop Grumman Corporation, Intelligent Business Machines Corporation, McKesson Corporation, Pondera Solutions, Fair Issac Corporation, DXC Technology Company, Change Healthcare, UnitedHealth Group (Optum Inc), RELX Group Plc, EXL, SAS Institute Inc, OSP Labs, Cotiviti Inc and CGI Inc.
OSP Labs is a global company providing insights-as-a-service and thereby harnessing global health data dynamics. The company organizes, visualizes and remodels this data and help stakeholders in making faster and data-based decisions. The health technology provided by the company is a combination of AI algorithms that create insights by making use of global health data. It provides fraud detection software like Healthcare Predictive Analytics Software Solutions and Healthcare Fraud Detection Solutions.
Table Of Contents
- Global Healthcare Fraud Analytics And Detection Market - Summary
- Industry Outlook
2.1. Market Definition
2.2. Key Insights
2.2.1. Asia-Pacific Is The Leading Regional Market
2.2.2. Prescriptive Analysis Is Anticipated To Grow At A Highest Cagr
2.2.3. Growing Pressure To Increase Operational Efficiency And Reduce Healthcare Spending
2.3. Porter’S Five Force Analysis
2.3.1. Threat Of New Entrants
2.3.2. Threat Of Substitute
2.3.3. Bargaining Power Of Suppliers
2.3.4. Bargaining Power Of Buyers
2.3.5. Threat Of Competitive Rivalry
2.4. Market Attractiveness Index
2.5. Vendor Scorecard
2.6. Impact Of Covid-19 On Healthcare Fraud Analytics And Detection
2.7. Market Drivers
2.7.1. Surge In Healthcare Expenditure
2.7.2. Swell In The Number Of Patients Opting For Health Insurance
2.8. Market Restraints
2.8.1. Unwillingness To Adopt Healthcare Fraud Analytics
2.9. Market Opportunities
2.9.1. Increase In False Activities In Healthcare
2.10. Market Challenges
2.10.1. High Cost Of Fraud Detection And Prevention Solutions
- Global Healthcare Fraud Analytics And Detection Market Outlook - By Type
3.1. Descriptive Analysis
3.2. Predictive Analysis
3.3. Prescriptive Analysis
- Global Healthcare Fraud Analytics And Detection Market Outlook - By Application
4.1. Review Of Insurance Claims
4.2. Payment Integrity
- Global Healthcare Fraud Analytics And Detection Market Outlook - By End-User
5.1. Private Insurance Payers
5.2. Government Agencies
5.3. Other End-Users
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