The global healthcare fraud analytics market is projected to reach value of USD 6.65 Billion by 2027, according to a current analysis by Emergen Research.
The global healthcare fraud analytics market is projected to reach value of USD 6.65 Billion by 2027, according to a current analysis by Emergen Research. The global market of healthcare fraud analytics is likely to expand significantly during the forecast period. Significant market growth is attributable to the growing number of fraud incidents in health insurance across the world. Furthermore, the expanding industry for healthcare insurance is also anticipated to drive the healthcare fraud analytics market during the forecast period. Moreover, rising government spending on the healthcare ecosystem to prevent fraudulent activities is also expected to boost the global market during the forecast period.
In addition to this, the surging initiatives and financial support by the government to prevent frauds and false insurance claims in the healthcare industry are boosting the market demand. However, lack of skilled professionals and the inability of large organizations to accurately implement the fraud analytics solutions are predicted to impede the market growth.
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Key Highlights from the Report:
- The on-premises segment is predicted to command the market during the estimated timespan. Solutions provided in-house within a company’s IT infrastructure in an on-premise deployment and are incredibly essential for managing expenses, usage of resources. The company is responsible for the management of these solutions and other related activities.
- Throughout the estimated timeframe, the insurance claims segment is predicted to command the market growth attributed to the increasing patients needing medical insurance, escalating incidences of fraudulent claims, and the accelerating adoption of pre-payment assessment processes.
- The Predictive segment is estimated to lead the industry’s expansion, proliferating at an annual rate of 28% throughout the projected timeframe. The segment growth can be attributed to predictive analytics’ enhanced capability to identify potentially fraudulent patterns to generate numerous claims rapidly.
- North America is predicted to lead the market growth during the estimated timeframe accredited to an escalating population seeking healthcare insurance, rising incidences of fraudulent claims, increasing government efforts to prevent frauds, and the rising need for minimizing healthcare costs. Moreover, the rapid technological advancements and the increased availability of advanced products and services are adding traction to market expansion.
- Major industry players include ExlService Holdings, Inc., Wipro Limited, FraudScope, Inc., DXC Technology Co, SAS Institute, International Business Machines Corporation (IBM), Conduent Inc., Pondera Solutions, LLC, CGI Inc., and HCL Technologies Limited.
- DWS Ltd., completed the acquisition of HCL Technologies Ltd., in September 2020. This acquisition will bolster the presence and portfolio of HCL Technologies in Australia and New Zealand.
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For the purpose of this report, Emergen Research has segmented the global Healthcare Fraud Analytics Market on the basis of deployment, application, solution, and region:
Deployment Outlook (Revenue, USD Billion; 2017–2027)
- On-premises
- Cloud-based
Application Outlook (Revenue, USD Billion; 2017–2027)
- Insurance Claim
- Payment Integrity
Solution Outlook (Revenue, USD Billion; 2017–2027)
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
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Regional Outlook (Revenue, USD Billion; 2017–2027)
- North America
- USA
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- BENELUX
- Rest of Europe
- Asia Pacific
- China
- Japan
- South Korea
- India
- Rest of APAC
- Latin America
- Brazil
- Rest of LATAM
- Middle East & Africa
- Saudi Arabia
- U.A.E.
- Rest of MEA
Reasons to buy the report:
- This study segments the Healthcare Fraud Analytics market and derives the precise valuation of the overall, as well as segment-based, market across different industry verticals, geographies, and products.
- The report will help participants understand the trajectory of the progress of the market and provide information on key drivers, restraints, challenges, threats, and opportunities for the growth of the Healthcare Fraud Analytics sectors.
- This Healthcare Fraud Analytics report would allow readers to be well-versed with the existing competition and gain more insights to improve their standing in the worldwide business. The competitive landscape considers the dominant competitors, along with product launches and technological advancements, strategic expansions, mergers and acquisitions, and procurement strategies implemented by key players in the Healthcare Fraud Analytics market.
Key features of the report:
- To study the key aspects impacting the Healthcare Fraud Analytics market size.
- To identify growth prospects in the Healthcare Fraud Analytics market.
- To analyze the Healthcare Fraud Analytics market segments and deduce the dominant trends observed in the industry.
- To examine the Healthcare Fraud Analytics market by investigating the available products, market share, and value proposition of the products.
- To analyze the industry by assessing the scope and application of the Healthcare Fraud Analytics market and highlight the growth of each application.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2020-2030
Chapter 3. Key Insights
Chapter 4. Healthcare Fraud Analytics Market Segmentation & Impact Analysis
4.1. Healthcare Fraud Analytics Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers’ analysis
4.2.3. Market restraints analysis
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Continued…
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