Data Bridge Market Research Published Latest Global Healthcare Fraud Detection Market Study by in-depth analysis of the current scenario, the Market size, demand, growth pattern, trends, and forecast. This market research report classifies the market by companies, geographical region, type, component, application and end-use industry.
Under the competitive analysis section, major key players existing in the market are mentioned along with various details such as company profiles, their market share analysis, and the different strategies which make them thrive in the market. This Healthcare Fraud Detection market research report also identifies and analyses the emerging trends along with major driving factors, challenges and opportunities in the market.
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The healthcare fraud detection market is expected to gain market growth in the forecast period of 2021 to 2028. Data Bridge Market Research analyses the market to grow at a CAGR of 28.92% in the above-mentioned forecast period. Increasing number of fraudulent activities in healthcare drives the healthcare fraud detection market.
Healthcare fraud detection is specially designed to prevent healthcare frauds, abuse and waste so that any unauthorized payment and benefits can be avoided. They are usually used to avoid misrepresenting dates, falsification of data by physicians and submitting claims for services not provided among others.
Increasing number of patients seeking health insurance is the vital factor escalating the market growth, also rising prepayment review model, increasing returns on investment, increase in the pharmacy claims-related fraud, increasing population adapting health insurance and rising need for solutions that have biometric sensors to identify frauds are the major factors among others driving the healthcare fraud detection market. Moreover, increasing adoption of healthcare fraud analytics in developing countries, rising emergence of social media and its impact on the healthcare industry and role of AI in healthcare fraud detection will further create new opportunities for healthcare fraud detection market in the forecasted period of 2021-2028.
However, rising limitations in the data capturing process in Medicaid services, rising less adoption of healthcare fraud analytics and lack of skilled and trained profession are the major factors among others which will obstruct the market growth, while time-consuming deployment and the need for frequent upgrades will further challenge the growth of healthcare fraud detection market in the forecast period mentioned above.
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Healthcare Fraud Detection Key Benefits over Global Competitors:
- The report provides a qualitative and quantitative analysis of the Healthcare Fraud Detection Market trends, forecasts, and market size to determine new opportunities.
- Porter’s Five Forces analysis highlights the potency of buyers and suppliers to enable stakeholders to make strategic business decisions and determine the level of competition in the industry.
- Top impacting factors major investment pockets are highlighted in the research.
- The major countries in each region are analyzed and their revenue contribution is mentioned.
- The market player positioning segment provides an understanding of the current position of the market players active in the Personal Care Ingredients
The major players covered in the healthcare fraud detection market report are IBM Corporation, Optum, Inc., COTIVITI, INC., McKesson Corporation, Fair Isaac Corporation, SAS Institute Inc., SCIOInspire, Corp., Conduent, Inc., HCL Technologies Limited, CGI Inc., DXC Technology Company, Northrop Grumman, LexisNexis, Pondera Solutions, Wipro, Codoxo and HMS among other domestic and global players. Market share data is available for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Healthcare Fraud Detection Market Scope and Market Size
The healthcare fraud detection market is segmented on the basis of component, delivery mode, type, end-user and application. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users with valuable market overview and market insights to help them in making strategic decisions for identification of core market applications.
- On the basis of component, the healthcare fraud detection market is segmented into services and software.
- Based on delivery mode, the healthcare fraud detection market is segmented into on premise delivery models and on-demand delivery models.
- Based on type, the healthcare fraud detection market is segmented into descriptive analytics, predictive analytics and prescriptive analytics.
- Based on end-user, the healthcare fraud detection market is segmented into private insurance payers, public/government agencies, third-party service providers and employers.
- The healthcare fraud detection market is also segmented on the basis of application into insurance claims review, payment integrity and other application.
Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Healthcare Fraud Detection Market Landscape
Part 04: Global Healthcare Fraud Detection Market Sizing
Part 05: Global Healthcare Fraud Detection Market by Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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Critical Insights Related to the Healthcare Fraud Detection Included in the Report:
- Exclusive graphics and Illustrative Porter’s Five Forces analysis of some of the leading companies in this market
- Value chain analysis of prominent players in the market
- Current trends influencing the dynamics of this market across various geographies
- Recent mergers, acquisitions, collaborations, and partnerships
- Revenue growth of this industry over the forecast period
- Marketing strategy study and growth trends
- Growth-driven factor analysis
- Emerging recess segments and region-wise market
- An empirical evaluation of the curve of this market
- Ancient, Present, and Probable scope of the market from both prospect value and volume
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