Global Healthcare Fraud Analytics
Market Report
2025
The global healthcare fraud analytics market size is USD 5.0 billion in 2024. The healthcare fraud analytics market will show the strongest growth with a compound annual growth rate (CAGR) of 26.7% from 2024 to 2031. The reason for this growth is improvements in technology.
The base year for the calculation is 2024. The historical will be 2021 to 2024. The year 2025 will be estimated one while the forecasted data will be from year 2025 to 2033. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global healthcare fraud analytics market size is USD 5.0 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 26.7% from 2024 to 2031.
2024 | 2025 | 2032 | 2033 | CAGR | |
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Global Healthcare Fraud Analytics Market Sales Revenue | $ 5 Billion | 121212 | 121212 | 121212 | 26.7% |
Base Year | 2024 |
Historical Data Time Period | 2021-2024 |
Forecast Period | 2025-2033 |
Market Split by Solution Type |
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Market Split by Delivery Model |
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Market Split by Application |
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Market Split by End-User |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Report scope is customizable as we have a huge database of Healthcare Fraud Analytics industry. We can deliver an exclusive report Edition/Consultation as per your data requirements. Request for your Free Sample Pages.
Healthcare Fraud Analytics Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Healthcare fraud analytics is the process of identifying and preventing healthcare fraud via the use of data analysis tools and methodologies. The market is expanding because of many factors, including healthcare fraud, more people looking for health insurance, higher returns on investment, and more pharmacy claims scams. However, this market is anticipated to be constrained in its expansion due to the need for more qualified workers. Additionally, the healthcare fraud analytics market is growing because more people want better healthcare services. Moreover, healthcare facilities can better serve their patients, enhance the quality of their services, and decrease the frequency of billing and treatment errors if they are able to reduce fraud. In addition, the market is anticipated to be driven by the rising concern over healthcare expenses and the introduction of improved fraud analytical procedures made possible by technology breakthroughs.
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In June 2024, HCLTech, a top global tech company, and Tecnotree, a top telecom business support system (BSS) platform provider, announced they would work together to create cutting-edge 5G-based generative AI (GenAI) solutions for the telecom market around the world.
Top Companies Market Share in Healthcare Fraud Analytics Industry: (In no particular order of Rank)
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According to Cognitive Market Research, North America emerged as the dominant region in the healthcare fraud analytics market because many individuals in this area have health insurance, healthcare fraud is on the rise, there are governmental anti-fraud programs that are working, there is a lot of pressure to lower healthcare prices, technology is improving, and there are more products and services available. Most of the big companies in the healthcare fraud analytics industry are based in the US. Furthermore, the region’s growth is fueled by significant expenditures in technology, the existence of prominent market participants, and the increasing acceptance of on-premise services.
Asia-Pacific stands out as the fastest-growing region in the healthcare fraud analytics market because of the growing digitization of healthcare data and the development of its healthcare infrastructure. There has been a dramatic increase in the use of healthcare fraud analytics solutions as a result of the stringent rules put in place by regional governments to fight healthcare fraud. Additionally, in this region, the need for efficient fraud prevention technologies to guarantee resource utilization and decrease unnecessary expenditures in healthcare systems is driven, in part, by the expanding middle class and, secondarily, by rising healthcare spending.
The current report Scope analyzes Healthcare Fraud Analytics Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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Global Healthcare Fraud Analytics Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Healthcare Fraud Analytics Industry growth. Healthcare Fraud Analytics market has been segmented with the help of its Solution Type, Delivery Model Application, and others. Healthcare Fraud Analytics market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
According to cognitive market research, descriptive analytics is the dominant category because it summarizes past data in order to find patterns and trends, which in turn gives vital information. Healthcare businesses can improve their detection tactics by understanding historical fraud incidents and the environment around them, which is helped by this category. Healthcare providers and insurers can use descriptive analytics to combat fraud by identifying patterns and outliers in data and making more educated decisions. < /p>
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Market segmentation by Delivery Model is another crucial element in understanding the dynamics of the Healthcare Fraud Analytics industry. Applications refer to the specific uses or end-user industries that drive demand for the Healthcare Fraud Analytics products or services. These can vary widely, depending on the nature of the market, ranging from healthcare, manufacturing, and retail to more specialized sectors like aerospace, automotive, and telecommunications. By breaking down the market according to its applications, businesses can gain insight into which industries are adopting Healthcare Fraud Analytics-related solutions most effectively, and where new opportunities are emerging.
Moreover, analyzing application trends helps in recognizing which industries are growing faster, where innovations are occurring, and which markets are saturated, allowing businesses to strategically position themselves in the most promising areas of the market. Get in touch with us to receive industry-specific insights tailored to your needs
Some of the key Delivery Model of Healthcare Fraud Analytics are:
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Research associate at Cognitive Market Research
Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
Swasti an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
In her current role, Swasti manages research for service and software category, leading initiatives to uncover market opportunities and enhance competitive positioning. Her strong analytical skills and ability to provide clear, impactful findings have been crucial to her team’s success. With an expertise in market research analysis, She is adept at dissecting complex problems, extracting meaningful insights, and translating them into actionable recommendations, Swasti remains an invaluable asset in the dynamic landscape of market research.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Healthcare Fraud Analytics Market is witnessing significant growth in the near future.
In 2023, the Descriptive Analytics segment accounted for noticeable share of global Healthcare Fraud Analytics Market and is projected to experience significant growth in the near future.
The On-premise segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies IBM Corporation (US) , Inc. (US) and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Solution Type | Descriptive Analytics, Predictive Analytics, Prescriptive Analytics |
Delivery Model | On-premise, On-demand |
Application | Insurance Claims Review, Pharmacy Billing Misuse, Payment Integrity, Others |
End-User | Public & Government Agencies, Private Insurance Payers, Third-party Service Providers, Employers |
List of Competitors | IBM Corporation (US), Optum, Inc. (US), Cotiviti, Inc. (US), Change Healthcare (US), Fair Isaac Corporation (US), SAS Institute Inc. (US), EXLService Holdings, Inc. (US), Wipro Limited (India), Conduent, Incorporated (US), CGI Inc. (Canada), HCL Technologies Limited (India), Qlarant, Inc. (US), DXC Technology (US), Northrop Grumman Corporation (US), LexisNexis (US), Healthcare Fraud Shield (US), Sharecare, Inc. (US), FraudLens, Inc. (US), HMS Holding Corp. (US), Codoxo (US), H20.ai (US), Pondera Solutions, Inc. (US), FRISS (The Netherlands), Multiplan (US), FraudScope (US), OSP Labs (US) |
This chapter will help you gain GLOBAL Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review Global Healthcare Fraud Analytics Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review North America Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 2 North America Market Analysis
This chapter will help you gain Europe Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review Europe Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 3 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review Asia Pacific Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 4 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review South America Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 5 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review Middle East Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 6 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of Healthcare Fraud Analytics. Further deep in this chapter, you will be able to review Middle East Healthcare Fraud Analytics Market Split by various segments and Country Split.
Chapter 7 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of Healthcare Fraud Analytics. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Solution Type Analysis 2019 -2031, will provide market size split by Solution Type. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Solution Type Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Delivery Model Analysis 2021 - 2033
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Chapter 12 Market Split by Application Analysis 2021 - 2033
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Chapter 13 Market Split by End-User Analysis 2021 - 2033
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Healthcare Fraud Analytics market
Chapter 14 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 15 Research Methodology and Sources
Why Descriptive Analytics have a significant impact on Healthcare Fraud Analytics market? |
What are the key factors affecting the Descriptive Analytics and Predictive Analytics of Healthcare Fraud Analytics Market? |
What is the CAGR/Growth Rate of On-premise during the forecast period? |
By type, which segment accounted for largest share of the global Healthcare Fraud Analytics Market? |
Which region is expected to dominate the global Healthcare Fraud Analytics Market within the forecast period? |
Segmentation Level Customization |
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Global level Data Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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Service Level Customization |
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Report Format Alteration |
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