Market growth can be attributed to the large number of fraudulent activities in healthcare; the increasing number of patients seeking health insurance; high returns on investment; and rising pharmacy claim-related frauds. However, the dearth of skilled personnel is likely to restrain the growth of this market.
What the Market Looks Like?
Predicted to grow at a CAGR of 29.8% during the forecast period, the global Healthcare Fraud Analytics market is estimated to reach USD 4.6 billion by the end of 2025.
“The prescriptive analytics segment registered the highest growth during the forecast period.”
Fraud analytics solutions vary from vendor to vendor. Some vendors offer rule-based models while others offer AI-based technologies, but broadly, these solutions are classified based on the type of analytics used—descriptive analytics, predictive analytics, and prescriptive analytics.
“In 2019, public & government agencies accounted for the largest share of the healthcare fraud analytics market, by end user.”
Based on end user, the healthcare fraud detection market is segmented into public & government agencies, private insurance payers, employers, and third-party service providers. The public & government agencies segment accounted for the largest share of the healthcare fraud analytics market in 2019.
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Geographical growth scenario of Healthcare Fraud Analytics Market
Geographically, the global healthcare fraud analytics market is segmented into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. North America accounted for the largest share of the market in 2019.
Leading market players
The prominent players in the Healthcare Fraud Analytics market include IBM Corporation (US), Optum (US), SAS Institute (US), Change Healthcare (US), EXL Service Holdings (US), Cotiviti (US), Wipro Limited (Wipro) (India), Conduent (US), HCL (India), Canadian Global Information Technology Group (Canada), DXC Technology Company (US), Northrop Grumman Corporation (US), LexisNexis Group (US), and Pondera Solutions (US).
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