DUBLIN–(BUSINESS WIRE)–The “Healthcare Fraud Analytics Market – Global Outlook & Forecast 2023-2028” report has been added to ResearchAndMarkets.com’s offering.

The global healthcare fraud analytics market is expected to reach a value of $5.03 billion by 2028 from $1.65 billion in 2022 to grow at a CAGR of 20.45% from 2022-2028.

The global healthcare fraud analytics market is a rapidly growing industry since fraud and abuse in the healthcare system is an ongoing problem resulting in billions of dollars in losses to insurers and patients.

The market is driven by rising healthcare costs, increasing consumer demand for transparency and accountability, and the need to reduce fraud and abuse. The global healthcare fraud analytics market is emerging, with global, regional, and local players recommending a broad range of conventional and latest-generation artificial intelligence (AI) technologies for end-users.

The key vendors in the global healthcare fraud analytics market include IBM, LexisNexis Risk Solution, Optum, SAS Institute, Verisk Analytics, and Wipro, based on factors such as digital healthcare platforms, patient management, and clinical advancements. These companies have a broad geographic presence, diverse product portfolios, and a strong focus on product innovation, R&D, and business expansion activities.


Increasing Healthcare Fraudulent Activities

Healthcare fraud has been an ongoing problem in the healthcare industry for a long time. The increase in healthcare costs, the rise in technological advances, and a greater reliance on electronic data have all contributed to an increase in healthcare fraud.

The healthcare fraud analytics market helps combat this issue by identifying fraudulent activities and helping organizations take proactive measures to prevent future fraud. Healthcare fraud analytics uses various analytic techniques to analyze large datasets and detect suspicious behavior patterns.

These techniques can detect billing and coding errors, improper payments, and other forms of fraud. Healthcare fraud analytics also helps organizations identify trends in healthcare fraud and proactively address areas of risk. The increasing prevalence of healthcare fraud is driving the demand for healthcare fraud analytics solutions.

Organizations increasingly invest in healthcare fraud analytics solutions to detect and prevent fraudulent activities and protect their financial and reputational interests.

The Increasing Number of Patients Benefiting From Healthcare Insurance

Healthcare fraud analytics uses data analytics and artificial intelligence to detect fraud and patterns in healthcare claims and other activities related to healthcare fraud. With the increasing number of patients receiving healthcare insurance, the potential amount of fraud increases, making it essential to have a reliable fraud detection system.

The healthcare fraud analytics market helps to detect fraudulent activities such as billing for services not rendered and incorrect coding. With the increasing number of healthcare policies, fraudulent activities also increase, making identifying and preventing them difficult. Healthcare fraud analytics helps to identify these activities quickly and accurately, thus reducing the risk of fraud.

The Increasing Number of Pharmacy Claims-Related Frauds

With the growth of the healthcare industry, fraud & abuse have become increasingly serious problems. Fraudsters are taking advantage of the complexity of the healthcare system and the lack of oversight to commit fraud.

As a result, healthcare organizations are facing increasing pressure to protect their finances from fraudulent activities. The healthcare fraud analytics market is growing as healthcare organizations begin recognizing the need for advanced analytics solutions to detect and prevent fraud.

Healthcare analytics solutions are used to identify suspicious transactions and activities that could indicate fraudulent behavior. These solutions help detect and prevent fraud by providing insights into fraud patterns, allowing organizations to take corrective action.

Investment in ICT

Investment in ICT is a new opportunity for the healthcare fraud analytics market. ICT solutions such as Artificial Intelligence (AI) and Machine Learning (ML) can be used to detect and prevent fraud in the healthcare industry.

By leveraging these technologies, healthcare organizations can develop and deploy predictive analytics models to detect suspicious transactions, identity theft, and other fraudulent activities. This can help organizations reduce the risk of fraud, save money, and improve operational efficiency.

Advanced Technologies Offer Greater Potential to Secure Against Fraud

Advanced technologies offer greater potential to secure against fraud, and this is a new opportunity for the healthcare fraud analytics market. With the increasing sophistication of fraud attempts, the need for advanced analytics tools to detect, prevent, and investigate fraud is becoming more important.

Advanced analytics tools can help detect and prevent fraud more quickly and efficiently while providing more detailed insights into fraud patterns. This can help healthcare organizations identify potential areas of fraud and take steps to reduce the risk. In addition, advanced analytics can help healthcare organizations detect and investigate fraud more effectively, which can help reduce the financial losses associated with fraudulent activities.

AI in Healthcare Fraud Detection

AI in healthcare fraud detection is a new opportunity for the healthcare fraud analytics market. AI can detect and prevent fraud more quickly and accurately than traditional methods, reducing financial and administrative costs.

AI can identify patterns in large amounts of data that would be impossible to find using manual methods and identify suspicious behavior that would be difficult to detect using traditional methods. AI can also help organizations identify and address fraud risk areas more quickly, as well as help them develop strategies to prevent future fraud from occurring.



The global healthcare fraud analytics market by solution type is segmented into descriptive, predictive, and prescriptive analytics. Descriptive analytics is a form of data analysis that seeks to summarize past events and identify patterns in data. It is a process that involves collecting, organizing, and analyzing data to gain insights that can be used to inform future decisions or strategies. T


The global healthcare fraud analytics market by delivery mode is segmented into on-premises and cloud-based. The on-premises segment dominated the market, accounting for over 52% share in 2022, and is anticipated to retain its dominance during the forecast period.

On-premises service allows companies to verify customers and store data on their servers. No third party can access the customers’ data, the service provider, or vendors. This service ensures that their customer onboarding process is secure and the information collected stays safe from criminal activities.

Several on-premises benefits also significantly contribute to why healthcare organizations are still hesitant to embrace the cloud. The biggest benefit to on-premises applications is that the IT department has full control over the data stored on them.


The medical provider fraud application segment holds the largest global healthcare fraud analytics market share. Medical provider fraud occurs when a health care provider, such as a doctor, nurse, or therapist, defrauds a medical insurance provider for reimbursement for services that were never provided or for services of a lower quality than what was promised.

Both individuals and organizations can perpetrate this type of fraud, which can be difficult to detect due to the complexity of medical billing systems. The most common form of medical provider fraud is billing for never provided services. This may include billing for an office visit that never occurred or for procedures that were not done.


The global healthcare fraud analytics market by end-user is segmented into public health insurance companies, private health insurance companies, third-party service providers, and other end users.

The public health insurance companies segment accounted for a major share in 2022. Public health insurance companies play an integral role in the health and well-being of individuals and the country. By providing financial coverage for medical costs and preventive care, these companies can help keep individuals healthy while reducing healthcare costs.


North America accounted for a major share of the global healthcare fraud analytics market in 2022, accounting for nearly 43%. The presence of a large patient population and better adoption of digital healthcare with the latest advancements in artificial intelligence (AI) is the primary factor for its high market share.

Market Opportunities & Trends

  • Investment in Information & Communication Technology (Ict)
  • Advanced Technologies Offer Great Potential to Secure Against Fraud
  • Ai in Healthcare Fraud Detection

Market Growth Enablers

  • Increasing Healthcare Fraudulent Activities
  • Increasing Number of Patients Benefiting from Healthcare Insurance
  • Rising Number of Pharmacy Claim-Related Frauds

Market Restraints

  • Change in Fraud Patterns
  • Security & Privacy Risks With Fraud Analytics Solutions
  • Time-Consuming Deployment and Need for Frequent Upgrades

Key Company Profiles

  • IBM
  • LexisNexis Risk Solutions
  • Optum
  • SAS Institute
  • Verisk Analytics
  • Wipro

Other Prominent Vendors

  • Alivia Analytics
  • CGI
  • Codoxo
  • Conduent
  • FraudLens
  • Healthcare Fraud Shield
  • Northrop Grumman Corporation
  • OSP
  • Qlarant
  • Qualetics Data Machines
  • Sharecare



For more information about this report visit https://www.researchandmarkets.com/r/xc2xlx

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