The healthcare fraud analytics market was valued at US$ 1,331.09 million in 2019 and it is projected to reach US$ 8,707.73 million in 2027; it is expected to grow at a CAGR of 27.0% from 2020 to 2027.
Healthcare fraud is a kind of white-collar crime that includes the filing of dishonest health care claims to turn a profit. The majority of health care fraud is committed by organized crime groups and a small minority of fraudulent health care providers. The most common types of health care fraud include billing for more expensive services or procedures, misrepresenting non-covered treatments, insurance frauds, and others. The growth of the global healthcare fraud analytics market is attributed to the increasing number of fraud cases across all industries, and growing health insurance industry in the US. However, concerns regarding healthcare fraud analytics is the major factor hindering the market growth.
The global healthcare fraud analytics market is expected to witness substantial growth post-pandemic. The COVID-19 has affected economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. The COVID-19 crisis has overburdened public health systems in many countries and highlighted the strong need for sustainable investment in health systems. As the COVID-19 pandemic progresses, the healthcare industry is expected to see a drop in growth. The life sciences segment thrives due to increased demand for invitro diagnostic products and rising research and development activities worldwide. However, the medical technologies and imaging segment is witnessing drop in sales due to a smaller number of surgeries being carried out and delayed or prolonged equipment procurement. Additionally, virtual consultations by healthcare professionals are expected to become the mainstream care delivery model post-pandemic. With telehealth transforming care delivery, digital health will continue to thrive in coming years. In addition, disrupted clinical trials and the subsequent delay in drug launches is also expected to pave the way for entirely virtual trials in the future. New technologies such as mRNA is expected to emerge and shift the pharmaceutical industry and market is also expected to witness more vertical integration and joint ventures in coming years.
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Healthcare Fraud Analytics Market: Strategic Insights
Market Size Value in US$ 1,331.09 Million in 2019 Market Size Value by US$ 8,707.73 Million by 2027 Growth rate CAGR of 27.0% from 2020-2027 Forecast Period 2020-2027 Base Year 2020
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Healthcare Fraud Analytics Market: Strategic Insights
| Market Size Value in | US$ 1,331.09 Million in 2019 |
| Market Size Value by | US$ 8,707.73 Million by 2027 |
| Growth rate | CAGR of 27.0% from 2020-2027 |
| Forecast Period | 2020-2027 |
| Base Year | 2020 |
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Market Insights
Growing Health Insurance Industry in the US to Drive Global Healthcare Fraud Analytics Market Growth
Health insurance fraud is a deliberate deception committed against an insurance company or agent to achieve financial gain. Frauds are committed at different transaction points by the applicants, policyholders, third-party claimants, or healthcare professionals who offer services to claimants. Sometimes insurance agents, as well as company employees, may also commit insurance fraud. Common health insurance frauds include padding that is manipulating the legitimate claims, exaggerating the facts on an insurance application, submitting claims for diseases or injuries that never occurred, and staging accidents.
In the United States, there are more than 900 health insurance companies that offer medical coverage. Moreover, the number of people with health insurance coverage in the United States is high. As per the report Health Insurance Coverage in the United States: 2018, in the year 2018, approximately 91.5% of the population has health insurance. The report also mentioned that, in 2018, private health insurance coverage was more prevalent in the US than public coverage, about 67.3% of the population had private health insurance coverage and 34.4% had public coverage. Among the subtypes, employer-based insurance was the most common health insurance coverage accounting for 55.1 % of the population.
Owing to the growing health insurance industry and the rising number of health insurance frauds, the demand for healthcare fraud analytics solutions is expected to increase during the forecast period.
Solution - Based Insights
In terms of solution, the global healthcare fraud analytics market is segmented into predictive analytics, descriptive analytics, and prescriptive analytics. In 2019, the predictive analytics segment held largest share of the market. Moreover, the same segment is estimated to register the highest CAGR during the forecast period.
Mode of Delivery-Based Insights
Based on mode of delivery, the global healthcare fraud analytics market is segmented into on-premise delivery models, and cloud-based delivery models. The on-premise delivery models segment held the largest market share in 2019. However, cloud based delivery models segment is estimated to register the highest CAGR during the forecast period.
Application-Based Insights
Based on application, the global healthcare fraud analytics market is segmented into insurance claims review, pharmacy billing misuse, payment integrity, medical identity theft and other applications. The insurance claims segment held the largest market share in 2019. Also, the same segment is estimated to register the highest CAGR during the forecast period.
End User-Based Insights
In terms of end user, the global healthcare fraud analytics market is segmented into government agencies, private insurance payers, third-party service providers, and employers. The government agencies segment held the largest share of the market in 2019, and the same segment is estimated to register the highest CAGR during the forecast period.
The global healthcare fraud analytics market players are adopting the product launch and expansion strategies to cater to changing customer demands worldwide, which also allows them to maintain their brand name globally.
Healthcare Fraud Analytics Market Report Scope
Global Healthcare Fraud Analytics Market – by Solution
- Predictive Analytics
- Descriptive Analytics
- Prescriptive Analytics
Global Healthcare Fraud Analytics Market – by Mode of Delivery
- On-Premise Delivery Models
- Cloud Based Delivery Models
Global Healthcare Fraud Analytics Market – by Application
- Insurance Claims Review
- Pharmacy Billing Misuse
- Payment Integrity
- Medical Identity Theft
- Other Applications
Global Healthcare Fraud Analytics Market – by End- User
- Government Agencies
- Private Insurance Payers
- Third-party Service Providers
- Employers
Global Healthcare Fraud Analytics Market – by Geography
North America
- US
- Canada
- Mexico
Europe
- France
- Germany
- Italy
- UK
- Spain
- Rest of Europe
Asia Pacific (APAC)
- China
- India
- South Korea
- Japan
- Australia
- Rest of APAC
Middle East & Africa (MEA)
- South Africa
- Saudi Arabia
- UAE
- Rest of MEA
South America and Central America (SCAM)
- Brazil
- Argentina
- Rest of SCAM
Company Profiles
- Conduent Inc.
- DXC Technology
- Scioinspire, Corp.
- Optum, Inc.
- SAS Institute
- Pondera Solutions
- Lexisnexis Risk Solutions
- Fair, Isaac and Company(FICO)
- Cotiviti, Inc.
- Whitehatai
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Solution ; Mode of Delivery ; Application ; End User and Geography.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, RoMEA, RoSCAM, Saudi Arabia, South Africa, South Korea, Spain, United Arab Emirates, United Kingdom, United States
Frequently Asked Questions
As per the Global Health Care Anti-Fraud Network, each year approximately US$ 260 billion (180 billion euros) or about 6 percent of the global total health care expenditure is lost to fraud. The number of healthcare frauds is increasing in the US. Some government and law enforcement agencies also estimated that healthcare frauds cost around 10% of the total annual health expenditure, which could be around US $300 billion.
Healthcare fraud is a kind of white-collar crime that includes the filing of dishonest health care claims to turn a profit. The majority of health care fraud is committed by organized crime groups and a small minority of fraudulent health care providers. The most common types of health care fraud include billing for more expensive services or procedures, misrepresenting non-covered treatments, insurance frauds, and others.
factors such as rising number of healthcare fraudulent cases across the globe and growing health insurance industry are expected to boost the market growth over the years. Moreover, growing hospital industry is likely to have a positive impact on the growth of the market in coming years.
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
1.3.1 Global healthcare fraud analytics Market – By Solution
1.3.2 Global healthcare fraud analytics Market – By Mode of Delivery
1.3.3 Global healthcare fraud analytics Market – By Application
1.3.4 Global healthcare fraud analytics Market – By End User
2. Healthcare Fraud Analytics Market – Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Healthcare Fraud Analytics– Market Landscape
4.1 Overview
4.2 Pest Analysis
4.2.1 North America: PEST Analysis
4.2.2 Europe – PEST Analysis
4.2.3 Asia Pacific – PEST Analysis
4.2.4 Middle East and Africa (MEA) – PEST Analysis
4.2.5 South and Central America – PEST Analysis
4.3 Expert Opinion
5. Healthcare Fraud Analytics Market – Key Dynamics
5.1 Drivers
5.1.1 Rising Number of Healthcare Fraudulent Cases Across the Globe
5.1.2 Growing Health Insurance Industry in the US
5.2 Restraints
5.2.1 Concerns Regarding Healthcare Fraud Analytics
5.3 Opportunities
5.3.1 Growing Hospital Industry
5.4 Future Trends
5.4.1 AI in Healthcare Fraud Detection
5.5 Impact Analysis
6. Healthcare Fraud Analytics Market – Global Market Analysis
6.1 Global Healthcare Fraud Analytics Market Revenue Forecast And Analysis
6.2 Global Healthcare Fraud Analytics Market, By Geography - Forecast And Analysis
6.3 Positioning of Key Players
6.3.1 Fair, Isaac and Company (FICO)
6.3.2 Conduent Inc.
7. Healthcare Fraud Analytics Market Analysis and Forecast to 2027 – Solution
7.1 Overview
7.2 Healthcare Fraud Analytics Market, By Solution, 2019 & 2027 (%)
7.3 Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Solution (US$ Mn)
7.4 Predictive Analytics
7.4.1 Overview
7.4.2 Predictive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
7.5 Descriptive Analytics
7.5.1 Overview
7.5.2 Descriptive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
7.6 Prescriptive Analytics
7.6.1 Overview
7.6.2 Prescriptive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
8. Healthcare Fraud Analytics Market Analysis and Forecast to 2027 – Mode of Delivery
8.1 Overview
8.2 Healthcare Fraud Analytics Market, By Mode of Delivery, 2019 & 2027 (%)
8.3 Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Mode Of Delivery (US$ Mn)
8.4 On-Premise Delivery Models
8.4.1 Overview
8.4.2 On-Premise Delivery Models Market Revenue and Forecast to 2027 (US$ Mn)
8.5 Cloud-Based Delivery Mode
8.5.1 Overview
8.5.2 Cloud-Based Delivery Mode Market Revenue and Forecast to 2027 (US$ Mn)
9. Healthcare Fraud Analytics Market Analysis and Forecast to 2027 –Application
9.1 Overview
9.2 Healthcare Fraud Analytics Market, By Application, 2019 & 2027 (%)
9.3 Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Application (US$ Mn)
9.4 Insurance Claims Review
9.4.1 Overview
9.4.2 Insurance Claims Review Market Revenue and Forecast to 2027 (US$ Mn)
9.5 Pharmacy Billing Misuse
9.5.1 Overview
9.5.2 Pharmacy Billing Misuse Market Revenue and Forecast to 2027 (US$ Mn)
9.6 Payment Integrity
9.6.1 Overview
9.6.2 Payment Integrity Market Revenue and Forecast to 2027 (US$ Mn)
9.7 Medical Identity Theft
9.7.1 Overview
9.7.2 Medical Identity Theft Market Revenue and Forecast to 2027 (US$ Mn)
9.8 Other Applications
9.8.1 Overview
9.8.2 Other Applications Market Revenue and Forecast to 2027 (US$ Mn)
10. Healthcare Fraud Analytics Market Analysis and Forecast to 2027 –End User
10.1 Overview
10.2 Healthcare Fraud Analytics Market, By End User, 2019 & 2027 (%)
10.3 Global healthcare fraud analytics Market, Revenue and Forecast to 2027, End User (US$ Mn)
10.4 Government Agencies
10.4.1 Overview
10.4.2 Government Agencies Review Market Revenue and Forecast to 2027 (US$ Mn)
10.5 Private Insurance Payers
10.5.1 Overview
10.5.2 Private Insurance Payers Market Revenue and Forecast to 2027 (US$ Mn)
10.6 Third-party Service Providers
10.6.1 Overview
10.6.2 Third-Party Service Providers Market Revenue and Forecast to 2027 (US$ Mn)
10.7 Employers
10.7.1 Overview
10.7.2 Employers Market Revenue and Forecast to 2027 (US$ Mn)
11. HEALTHCARE FRAUD ANALYTICS MARKET REVENUE AND FORECASTS TO 2027 – GEOGRAPHICAL ANALYSIS
11.1 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027
11.1.1 Overview
11.1.2 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.1.3 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type (US$ Mn)
11.1.4 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.1.5 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
11.1.6 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.1.7 North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
11.1.8 United States
11.1.8.1 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.1.8.2 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.1.8.3 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.1.8.4 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.1.8.5 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.1.9 Canada
11.1.9.1 Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.1.9.2 Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.1.9.3 Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.1.9.4 Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.1.9.5 Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.1.10 Mexico
11.1.10.1 Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.1.10.2 Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.1.10.3 Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.1.10.4 Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.1.10.5 Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027
11.2.1 Overview
11.2.2 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.3 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type (US$ Mn)
11.2.4 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.5 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
11.2.6 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2.7 Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
11.2.8 Germany
11.2.8.1 Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.8.2 Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.2.8.3 Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.8.4 Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.2.8.5 Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2.9 United Kingdom
11.2.9.1 UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.9.2 UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.2.9.3 UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.9.4 UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.2.9.5 UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2.10 France
11.2.10.1 France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.10.2 France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.2.10.3 France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.10.4 France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.2.10.5 France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2.11 Spain
11.2.11.1 Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.11.2 Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.2.11.3 Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.11.4 Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.2.11.5 Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.2.12 Italy
11.2.12.1 Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.2.12.2 Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.2.12.3 Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.2.12.4 Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.2.12.5 Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027
11.3.1 Overview
11.3.2 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.3 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.4 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.5 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.6 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3.7 Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
11.3.8 China
11.3.8.1 China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.8.2 China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.8.3 China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.8.4 China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.8.5 China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3.9 Japan
11.3.9.1 Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.9.2 Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.9.3 Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.9.4 Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.9.5 Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3.10 India
11.3.10.1 India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.10.2 India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.10.3 India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.10.4 India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.10.5 India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3.11 South Korea
11.3.11.1 South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.11.2 South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.11.3 South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.11.4 South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.11.5 South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.3.12 Australia
11.3.12.1 Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.3.12.2 Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.3.12.3 Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.3.12.4 Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.3.12.5 Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.4 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027
11.4.1 Overview
11.4.2 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.4.3 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.4.4 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.4.5 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.4.6 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.4.7 Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
11.4.8 Saudi Arabia
11.4.8.1 Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.4.8.2 Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.4.8.3 Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.4.8.4 Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.4.8.5 Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.4.9 UAE
11.4.9.1 UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.4.9.2 UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.4.9.3 UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.4.9.4 UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.4.9.5 UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.4.10 South Africa
11.4.10.1 South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.4.10.2 South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
11.4.10.3 South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.4.10.4 South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.4.10.5 South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.5 South and Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027
11.5.1 Overview
11.5.2 South and Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.5.3 South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type (US$ Mn)
11.5.4 South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.5.5 South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
11.5.6 South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.5.7 South and Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
11.5.8 Brazil
11.5.8.1 Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.5.8.2 Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.5.8.3 Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.5.8.4 Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.5.8.5 Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
11.5.9 Argentina
11.5.9.1 Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
11.5.9.2 Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution(US$ Mn)
11.5.9.3 Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
11.5.9.4 Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
11.5.9.5 Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
12. Healthcare Fraud Analytics Market to 2027– Industry Landscape
12.1 Overview
12.2 Growth Strategies Done By The Companies In The Market, (%)
12.3 Organic Developments Done By The Companies In The Market
12.4 Inorganic Developments Done By The Companies In The Market
13. Healthcare Fraud Analytics Market – Key Company Profiles
13.1 Conduent, Inc.
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 DXC Technology Company
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 SCIOInspire, Corp. (EXL Service Holdings, Inc.)
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 OPTUM, INC (UnitedHealth Group)
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 SAS Institute
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Pondera Solutions
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 LexisNexis Risk Solutions (RELX plc)
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Fair, Isaac and Company (FICO)
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Financial Overview
13.8.4 Product Portfolio
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Cotiviti, Inc. (Verscend Technologies, Inc.)
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Financial Overview
13.9.4 Product Portfolio
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 WhiteHatAI
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Financial Overview
13.10.4 Product Portfolio
13.10.5 SWOT Analysis
13.10.6 Key Developments
14. Appendix
14.1 About The Insight Partners
14.2 Glossary Of Terms
LIST OF TABLES
Table 1. Number of Hospitals in the US
Table 2. Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Solution (US$ Mn)
Table 3. Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Mode Of Delivery (US$ Mn)
Table 4. Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By Application (US$ Mn)
Table 5. Global healthcare fraud analytics Market, Revenue and Forecast to 2027, By End User (US$ Mn)
Table 6. North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type(US$ Mn)
Table 7. North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 8. North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
Table 9. North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 10. US Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 11. US Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 12. US Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 13. US Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 14. Canadian Provinces By The Number Of Hospitals
Table 15. Canada Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 16. Canada Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 17. Canada Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 18. Canada Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 19. Mexico Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 20. Mexico Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 21. Mexico Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 22. Mexico Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 23. Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type(US$ Mn)
Table 24. Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 25. Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
Table 26. Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 27. Germany Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 28. Germany Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 29. Germany Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 30. Germany Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 31. UK Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 32. UK Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 33. UK Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 34. UK Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 35. France Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 36. France Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 37. France Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 38. France Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 39. Spain Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 40. Spain Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 41. Spain Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 42. Spain Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 43. Italy Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 44. Italy Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 45. Italy Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 46. Italy Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 47. Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 48. Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 49. Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 50. Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 51. China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 52. China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 53. China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 54. China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 55. Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 56. Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 57. Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 58. Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 59. India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 60. India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 61. India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 62. India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 63. South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 64. South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 65. South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 66. South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 67. Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 68. Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 69. Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 70. Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 71. Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 72. Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 73. Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 74. Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 75. Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 76. Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 77. Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 78. Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 79. UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 80. UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 81. UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 82. UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 83. South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Solution (US$ Mn)
Table 84. South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 85. South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application (US$ Mn)
Table 86. South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 87. South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Treatment Type(US$ Mn)
Table 88. South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Mode of Delivery (US$ Mn)
Table 89. South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Application(US$ Mn)
Table 90. South And Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by End User (US$ Mn)
Table 91. Brazil Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 92. Brazil Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 93. Brazil Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 94. Brazil Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 95. Argentina Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Solution (US$ Mn)
Table 96. Argentina Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Mode of Delivery (US$ Mn)
Table 97. Argentina Healthcare Fraud Analytics Market Revenue and Forecast To 2027, by Application (US$ Mn)
Table 98. Argentina Healthcare Fraud Analytics Market, Revenue and Forecast To 2027, by End User (US$ Mn)
Table 99. Organic Developments Done by the Companies
Table 100. Inorganic Developments Done by the Companies
Table 101. Glossary of Terms, Healthcare Fraud Analytics Market
LIST OF FIGURES
Figure 1. Healthcare Fraud Analytics Market Segmentation
Figure 2. Global Healthcare Fraud Analytics Market Overview
Figure 3. Predictive Analytics Segment Held Largest Share Of Solution Segment In Healthcare Fraud Analytics Market
Figure 4. Asia-Pacific Region Is Expected to Show Remarkable Growth During the Forecast Period
Figure 5. Global Healthcare Fraud Analytics Market, By Geography (US$ Mn)
Figure 6. Global Healthcare Fraud Analytics Market- Leading Country Markets (US$ Mn)
Figure 7. Global Healthcare Fraud Analytics Market, Industry Landscape
Figure 8. North America: PEST Analysis
Figure 9. Europe PEST Analysis
Figure 10. Asia Pacific PEST Analysis
Figure 11. Middle East and Africa (MEA) PEST Analysis
Figure 12. South and Central America PEST Analysis
Figure 13. Healthcare Fraud Analytics Market Impact Analysis of Drivers and Restraints
Figure 14. Global Healthcare Fraud Analytics Market – Revenue Forecast And Analysis – 2019- 2027
Figure 15. Global Healthcare Fraud Analytics Market – By Geography Forecast And Analysis – 2019- 2027
Figure 16. Market Positioning Of Key Player In Healthcare Fraud Analytics Market
Figure 17. Healthcare Fraud Analytics Market, by Solution, 2019 & 2027 (%)
Figure 18. Predictive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 19. Descriptive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 20. Prescriptive Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 21. Healthcare Fraud Analytics Market, by Mode of Delivery, 2019 & 2027 (%)
Figure 22. On-Premise Delivery Models Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 23. Cloud-Based Delivery Mode Market Revenue and Forecast to 2027 (US$ Mn)
Figure 24. Healthcare Fraud Analytics Market, by Application, 2019 & 2027 (%)
Figure 25. Insurance Claims Review Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 26. Pharmacy Billing Misuse Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 27. Payment Integrity Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 28. Medical Identity Theft Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 29. Other Applications Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 30. Healthcare Fraud Analytics Market, by End User, 2019 & 2027 (%)
Figure 31. Government Agencies Review Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 32. Private Insurance Payers Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 33. Third-Party Service Providers Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 34. Medical Identity Theft Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 35. North America Healthcare Fraud Analytics Market, Revenue by Country (2019) (US$ Mn)
Figure 36. North America Healthcare Fraud Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 37. North America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
Figure 38. US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 39. Canada Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 40. Mexico Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 41. Europe Healthcare Fraud Analytics Market, Revenue by Country (2019) (US$ Mn)
Figure 42. Europe Healthcare Fraud Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 43. Europe Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
Figure 44. Germany Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 45. UK Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 46. France Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 47. Spain Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 48. Italy Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 49. Asia Pacific Healthcare Fraud Analytics Market, Revenue by Country (2019) (US$ Mn)
Figure 50. Asia Pacific Healthcare Fraud Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 51. Asia Pacific Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
Figure 52. China Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 53. Japan Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 54. India Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 55. South Korea Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 56. Australia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 57. Middle East & Africa Healthcare Fraud Analytics Market, Revenue by Country (2019) (US$ Mn)
Figure 58. Middle East & Africa Healthcare Fraud Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 59. Middle East & Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
Figure 60. Saudi Arabia Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 61. UAE Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 62. South Africa Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 63. South and Central America Healthcare Fraud Analytics Market, Revenue by Country (2019) (US$ Mn)
Figure 64. South and Central America Healthcare Fraud Analytics Market Revenue and Forecast to 2027 (US$ Mn)
Figure 65. South and Central America Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, by Country (%)
Figure 66. Brazil Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 67. Argentina Healthcare Fraud Analytics Market, Revenue and Forecast to 2027 (US$ Mn)
Figure 68. Growth Strategies Done By the Companies in the Market, (%)
The List of Companies – Global Healthcare Fraud Analytics Market
- Conduent Inc.
- DXC Technology
- Scioinspire, Corp.
- FICO
- Optum, Inc.
- SAS Institute
- Pondera Solutions
- Lexisnexis Risk Solutions
- Whitehatai
- Cotiviti, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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