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.
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. The prescriptive analytics segment registered the highest growth in the healthcare fraud analytics market during the forecast period.
According to market research report, "Healthcare Fraud Analytics Market by Solution Type (Descriptive, Predictive, Prescriptive), Application (Insurance Claim, Payment Integrity), Delivery (On-premise, Cloud), End User (Government, Employers, Payers), COVID-19 Impact - Global Forecast to 2026", is projected to reach USD 5.0 billion by 2026 from USD 1.5 billion in 2021, at a CAGR of 26.7% during the forecast period.
The high adoption of this technology is attributed to its advantages, such as rapid detection and investigation of suspects, claimants, and claim-level behavior from unstructured and/or semi-structured data.
The increasing cost burden due to healthcare fraud is proving to be a financial threat to public and government agencies globally. These factors are compelling payer organizations associated with these agencies to adopt analytics solutions to avoid losses incurred due to FWA and improper payments, which is driving the market growth.
The healthcare industry has been witnessing a number of cases of frauds, done by patients, doctors, physicians, and other medical specialists. Many healthcare providers and specialists have been observed to be engaged in fraudulent activities, for the sake of profit. In the healthcare sector, fraudulent activities done by patients include the fraudulent procurement of sickness certificates, prescription fraud, and evasion of medical charges.
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This growth is aided by the increasing affordability of health insurance for the middle class in this region and the rising awareness regarding the benefits of health insurance. In the UAE, as per a new regulatory policy (2017), any citizen residing and working in the UAE needs to be insured medically.
This vast network of healthcare influencers, leaders, patients, providers, organizations, and governmental entities creates a massive amount of healthcare data on a regular basis. This data, if segregated, segmented, and analyzed in a meaningful way, can offer incredible value for improving treatment efficiencies and health outcomes. This has created a demand for data aggregation and analytical tools and thus acts as an opportunity for the healthcare fraud analytics market during the forecast period.