Top Trends in Healthcare Fraud Detection Market to 2022 - Health Insurance and Healthcare Spending

Some players covered 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), and Pondera (US).

The healthcare fraud detection market is expected to reach USD 2,242.7 Million by 2022 from USD 504.4 Million in 2016, at a CAGR of 28.9%. The base year considered for the study is 2016 and the forecast period is from 2017 to 2022. The study estimates the healthcare fraud detection market size for 2017 and projects its demand till 2022.

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The healthcare fraud detection market is segmented into descriptive, predictive, and prescriptive analytics. The prescriptive analytics segment is expected grow at a highest CAGR during the forecast period. The high growth of this segment is attributed to the ability of prescriptive analytics to ensure the synergistic integration of predictions and prescriptions.

North America is expected to account for largest share of market followed by Europe. Factors like increase in number of people seeking health insurance, increasing cases of healthcare fraud, favorable government initiatives to combat healthcare fraud, rising pressure to reduce healthcare costs, technological advancements, & greater product & service availability in this region are expected to drive market growth in North America.

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major players operating in the healthcare fraud detection market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size.

Target Audience for this Report covered are Healthcare IT firms, Healthcare analytics vendors, Healthcare payers, Venture capitalists, Research and consulting firms and Healthcare fraud detection service providers.

Healthcare fraud is intentional deception or misrepresentation of facts by patients or healthcare providers that can result in unauthorized benefit or payment. Examples of fraud may include submitting claims for services not provided, falsifying claims or medical records and misrepresenting dates, frequency, duration or description of services rendered.

More Information on “Healthcare Fraud Detection Market by Type (Descriptive, Prescriptive), Application (Insurance Claim, Prepay, Post payment), Component (Service, Software), Delivery (On-premise, Cloud), End user (Insurance Payer, Private, Public) - Global Forecast to 2022” report at https://www.reportsnreports.com/contacts/inquirybeforebuy.aspx?name=1282924 .

The healthcare fraud detection market has been segmented, on the basis of component, into services and software. The services segment is expected to register highest growth rate over the forecast period. With the increasing need for fraud analytics services and the introduction of technologically advanced healthcare fraud detection software, which requires extensive training to use as well as regular upgrades, the services segment is expected to grow at the highest CAGR during the forecast period.

Key objectives of this study are as follows:
• To define, describe, and forecast healthcare fraud detection market by type, component, delivery model, end user, and region.
• To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and industry-specific challenges).
• To analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market.
• To analyze opportunities in market for stakeholders and provide details of the competitive landscape for market leaders.
• To forecast the market size of market segments with respect to the four key regions: North America, Europe, Asia, and the Rest of the World (RoW).
• To profile the key players and comprehensively analyze their product portfolios, market positions, and core competencies.
• To track and analyze competitive developments in the healthcare fraud detection market, such as joint ventures, mergers and acquisitions, product launches and expansions.

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