global healthcare fraud analytics market projected to reach 9.66 billion by 2028

The healthcare fraud analytics market is expected to experience significant growth, with projections indicating an increase from $3 billion in 2023 to $3.8 billion in 2024, representing a compound annual growth rate (CAGR) of 26.6%.

Factors Driving Growth

The growth of the healthcare fraud analytics market is driven by several factors:

  • Escalating healthcare costs
  • The complex nature of healthcare systems
  • The increasing volume of healthcare data
  • The transition to electronic health records (EHRs)

Projected Market Growth

By 2028, the healthcare fraud analytics market is projected to reach $9.66 billion, reflecting a CAGR of 26.3%. This growth is fueled by:

  • The sophistication of fraud schemes
  • The integration of predictive analytics
  • Evolving regulatory landscapes
  • The ongoing impact of the global pandemic
  • Enhanced patient identity verification methods

Key Players

Key players in the healthcare fraud analytics market include:

  • International Business Machines Corporation
  • Optum Inc.
  • Change Healthcare

Solutions and End-Users

The market offers a range of solutions, including descriptive, predictive, and prescriptive analytics, with various delivery models and applications. The end-user landscape includes:

  • Public and government agencies
  • Private insurance payers
  • Third-party service providers

Regional Market

North America is the largest region in the healthcare fraud analytics market, driven by its advanced healthcare infrastructure and regulatory frameworks. Rising healthcare expenditure is prompting organizations and payers to invest in fraud analytics solutions.

The Future of Healthcare Fraud Detection and Prevention

The integration of predictive analytics and innovative technologies will shape the future of healthcare fraud detection and prevention. The market is poised for significant growth, driven by rising healthcare costs, data complexity, and the need for robust fraud detection mechanisms.

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