The "US Healthcare Fraud Analytics Market to 2027 - Country Analysis and Forecasts by Solution; Mode of Delivery; Application; End User" report has been added to ResearchAndMarkets.com's offering.
The US Healthcare Fraud Analytics Market is expected to reach US$ 3,483.12 million in 2027 from US$ 517.28 million in 2019. The market is estimated to grow with a CAGR of 27.4% from 2020-2027.
The growth of the healthcare fraud analytics market is primarily attributed to the increasing number of healthcare fraudulent cases in the US and growing health insurance industry in the US. However, concerns regarding healthcare fraud analytics may hinder the growth of the market during the forecast period.
The hospital industry is growing at a faster pace in the US. Though the average hospital stay for a single person has been slightly decreased from 7 days to 5-6 days over the last couple of decades in the US, but, the total number of hospital admissions increased to 36.5 million in 2017. An increase in the elder population is a major reason for driving the hospital market in the US.
For instance, as per the National Health Care Anti-Fraud Association (NHCAA) estimated that every year, losses due to healthcare frauds are in the tens of billions of dollars. 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. Thus, an increasing number of fraudulent healthcare cases is likely to demand healthcare fraud analytics solutions.
In 2019, the predictive analytics segment held the largest market share of the healthcare fraud analytics market, by solution. This segment is also anticipated to dominate the market in 2027 owing to its analytics detection and identification patterns. Also, the segment is anticipated to witness growth at a significant rate during the forecast period, 2020 to 2027.
The US healthcare fraud analytics market by mode of delivery is segmented into on-premise delivery models, cloud-based delivery models. The US healthcare fraud analytics market is dominated by on-premise delivery models segment in 2019 with a considerable market share by mode of delivery. This segment is also predicted to dominate the market in 2027. However, cloud-based delivery models segment is anticipated to witness growth at a significant rate during the forecast period, 2020 to 2027, because it is an extremely manageable alternative which helps in the accessing real-time information.
In 2019, the insurance claims review held a largest market share of the healthcare fraud analytics market, by the application. This segment is also predicted to dominate the market in 2027 because it is very common and costly to the healthcare insurance system when fraud is detected and the number of health insurance frauds are increasing every year. Also, the insurance claims segment is anticipated to witness growth at a significant rate during the forecast period, 2020 to 2027.
In 2019, the government agencies segment held the largest market share of the healthcare fraud analytics market, by end user. This segment is also anticipated to dominate the market in 2027 as data analytics allows the government agencies to observe the billing patterns and then spot the unusual and suspicious cases. Also, the segment is anticipated to witness growth at a significant rate during the forecast period, 2020 to 2027.
Reasons to Buy
- Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the Healthcare fraud analytics market.
- Highlights key business priorities in order to assist companies to realign their business strategies.
- The key findings and recommendations highlight crucial progressive industry trends in the US Healthcare fraud analytics market, thereby allowing players across the value chain to develop effective long-term strategies.
- Develop/modify business expansion plans by using substantial growth offering developed and emerging markets.
- Scrutinize in-depth US market trends and outlook coupled with the factors driving the market, as well as those hindering it.
- Enhance the decision-making process by understanding the strategies that underpin security interest with respect to client products, segmentation, pricing and distribution.
Key Topics Covered
1. Introduction
1.1 Scope of the Study
1.2 Report Guidance
1.3 Market Segmentation
1.3.1 US Healthcare Fraud Analytics Market - By Solution
1.3.2 US Healthcare Fraud Analytics Market - By Mode of Delivery
1.3.3 US Healthcare Fraud Analytics Market - By Application
1.3.4 US 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 Healthcare Fraud Analytics Market in US: PEST Analysis
4.3 Expert Opinion
5. Healthcare Fraud Analytics Market - Key Dynamics
5.1 Drivers
5.1.1 Increasing Number of Healthcare Fraudulent Cases in the US
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 - US Analysis
6.1 US Healthcare Fraud Analytics Market Revenue Forecast And Analysis
6.2 Positioning of Key Players
6.2.1 Fair, Isaac and Company (FICO)
6.2.2 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 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, By Solution (US$ Mn)
7.4 Predictive Analytics
7.5 Descriptive Analytics
7.6 Prescriptive Analytics
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 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, By Mode Of Delivery (US$ Mn)
8.4 On-Premise Delivery Models
8.5 Cloud-Based Delivery Mode
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 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, By Application (US$ Mn)
9.4 Insurance Claims Review
9.5 Pharmacy Billing Misuse
9.6 Payment Integrity
9.7 Medical Identity Theft
9.8 Other Applications
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 US Healthcare Fraud Analytics Market, Revenue and Forecast to 2027, End-user (US$ Mn)
10.4 Government Agencies
10.5 Private Insurance Payers
10.6 Third-party Service Providers
10.7 Employers
11. Healthcare Fraud Analytics Market to 2027 - Industry Landscape
11.1 Overview
11.2 Growth Strategies Done By The Companies In The Market, (%)
11.3 Organic Developments Done By The Companies In The Market
11.4 Inorganic Developments Done By The Companies In The Market
12. Healthcare Fraud Analytics Market - Key Company Profiles
12.1 Conduent, Inc.
12.2 DXC Technology Company
12.3 SCIOInspire, Corp. (EXL Service Holdings, Inc.)
12.4 OPTUM, INC (UnitedHealth Group)
12.5 SAS Institute
12.6 Pondera Solutions
12.7 LexisNexis Risk Solutions (RELX plc)
12.8 Fair, Isaac and Company (FICO)
12.9 Cotiviti, Inc. (Verscend Technologies, Inc.)
12.10 WhiteHatAI
For more information about this report visit https://www.researchandmarkets.com/r/78tdjd
View source version on businesswire.com: https://www.businesswire.com/news/home/20200330005320/en/
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