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[176 Pages Report] Fraud analytics is the efficient use of data analytics and related business insights developed through statistical, quantitative, predictive, comparative, cognitive, and other emerging applied analytical models for detecting and preventing healthcare fraud. The global healthcare fraud analytics market is projected to reach USD 5.0 billion by 2026, at a CAGR of 26.7% during the forecast period. Market growth can be attributed to a large number of fraudulent activities in healthcare, increasing number of patients seeking health insurance, high returns on investment, and the rising number of pharmacy claims-related frauds. However, the dearth of skilled personnel is expected to restrain the growth of this market.


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