Key Findings
The Asia Pacific healthcare fraud analytics and detection market is projected to register a CAGR of 21.56% across the forecast period. The market growth is attributed to an upsurge in the use of mobile data for numerous applications like mobile banking and social media.

Market Insights
The countries taken into consideration for the Asia Pacific healthcare fraud analytics and detection market growth analysis are India, Japan, China, Vietnam, Thailand, South Korea, Australia & New Zealand, and the rest of Asia Pacific. Most fraud cases in South Korea go undetected and put additional strain on the system by driving up premiums and depriving legitimate cases of required resources. Popular scams in the country include double billing, phantom treatments, and unnecessary care. As the number of fraudulent activities is on a constant hike, the implementation of healthcare fraud detection analysis is expected to surge the market growth in the country. The adoption of healthcare fraud detection software in Japan is considerably slow, and the investigators generally perform the investigations. Moreover, demographic developments, an upsurge in disposable income, and stable economic advancements have led to a growing demand for healthcare services in Vietnam. The Insurance Fraud Bureau of Australia (IFBA), an operational element of the Insurance Council of Australia, is established to assist insurance frauds and all their respective forms. However, the adoption of fraud detection analytics is low in Australia, and its usage is projected to increase during the forecast period. Therefore, these factors contribute to the healthcare fraud analytics and detection market growth in the Asia Pacific region.

Competitive Insights
CGI Inc, McKesson, OSP Labs, SAS Institute, United Health Group Incorporated (Optum Inc), IBM, etc. are among the distinguished companies operating in the market.
Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments