PUBLISHED DATE : May 2023 | Pages : 300
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The Healthcare Fraud Analytics Market Size, Share, & Trends Analysis Report By
Industry Analysis Report, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2023–2028
300 Pages
135 Tables
108 Charts
5 Regions
18 Countries
19 Companies
5 Market Segment
| Report Attribute | Details |
|---|---|
| Market Size (2028) | USD 5.03 Billion |
| Market Size (2022) | USD 1.65 Billion |
| CAGR (2022-2028) | 20.45% |
| Base Year | 2022 |
| Forecast Year | 2023-2028 |
| Market Segments | Solution Type, Delivery Mode, Application, End-user, and Geography |
| Geographic Analysis | North America, Europe, APAC, Latin America, and Middle East & Africa |
| KEY VENDORS | IBM, LexisNexis Risk Solutions, Optum, SAS Institute, Verisk Analytics, Wipro |
The global healthcare fraud analytics market size was valued at USD 1.65 billion in 2022 and is expected to reach USD 5.03 billion by 2028, growing at a CAGR of 20.45%. The market is driven by the rising incidences of healthcare fraud and the increasing government initiatives to prevent fraud. As healthcare fraud is a major concern in the U.S., the government has implemented several initiatives, such as the False Claims Act, the Affordable Care Act, and the Health Care Fraud and Abuse Control Program to prevent fraud. Such factors have created a huge demand for healthcare fraud analytics solutions and services.
Fraud analytics is the process of using data analysis to detect and prevent fraudulent activities. It involves using data mining and predictive analytics to identify patterns in data that may indicate fraudulent behavior. It detects fraudulent transactions, identity theft, money laundering, and other suspicious activities. Fraud analytics helps organizations to detect fraudulent activities in real-time and take preventive measures to avoid losses. The healthcare fraud analytics market is rapidly growing in the healthcare industry. Healthcare fraud analytics is an analytics solution that enables healthcare organizations to identify and prevent fraudulent claims and activities. Moreover, it is an innovative and cost-effective approach to mitigating fraudulent activities in the healthcare industry.
North America is expected to dominate the global healthcare fraud analytics market due to the presence of major healthcare fraud analytics players and government initiatives to prevent healthcare fraud. The APAC industry is expected to witness significant growth in the coming years due to the growing adoption of healthcare fraud analytics solutions and services by emerging countries such as India and China.
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.
INSIGHTS BY SOLUTION TYPE
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. This type of analytics is especially useful for businesses, as it can better understand customer behaviors, sales trends, and performance metrics. Descriptive fraud analytics is the process of analyzing data to detect patterns of fraud and other suspicious activities. It is a type of analytics that helps organizations identify and understand fraud-related activities and detect fraud before it occurs.
However, predictive analytics is expected to grow at a CAGR in the global healthcare fraud analytics market during the forecast period. Predictive analytics can also be used to detect trends in healthcare fraud. By analyzing the data from various sources, such as patient records, medical records, and healthcare billing systems, the predictive model can identify patterns of fraud that may not be easily visible.
INSIGHTS BY DELIVERY MODE
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.
INSIGHTS BY APPLICATIONS
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. This type of fraud can also occur when providers bill for services at a higher rate than what was performed or for more expensive treatments than what was actually given.
INSIGHTS BY END-USER
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. Public health insurance companies have a key role in the global healthcare fraud analytics market. They are responsible for providing healthcare coverage to citizens and are the main funding source for healthcare services. With the rising healthcare costs and the prevalence of fraud and abuse, public health insurance companies must take a proactive approach to combat fraud and abuse. Public health insurance companies can help reduce fraud and abuse by using healthcare fraud analytics tools to identify suspicious activity and detect fraud.
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. The presence of key healthcare IT players is another reason for the high uptake of healthcare fraud analytics in North America. The use of healthcare fraud analytics is becoming increasingly common in the United States and Canada. In the United States, the Department of Health and Human Services (HHS) uses healthcare fraud analytics to identify fraud in Medicare and Medicaid.
The European healthcare fraud analytics market is one of the most rapidly growing markets in the healthcare industry. Healthcare fraud is a major problem for European healthcare providers and payers, resulting in an estimated USD 50 billion in lost revenue annually. Healthcare fraud can take many forms, including insurance fraud, provider fraud, overbilling, and reimbursement fraud. To address this problem, healthcare providers and payers increasingly turn to analytics solutions to detect and prevent fraud. Further, the healthcare fraud analytics market in the APAC region is shaped by various factors, such as the rising prevalence of healthcare fraud, the need to reduce healthcare costs and increase efficiency, and the increasing adoption of advanced analytics solutions. Healthcare providers increasingly use advanced analytics solutions to identify and prevent fraudulent activities.
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.
The healthcare fraud analytics market has a huge pool of emerging startups and giant players contributing to the industry’s growth and expanding global presence. The market is filled with many emerging startups, so these players' market share is widely known. However, the market is expected to experience high growth and intense competition due to increased startups collaborating with key vendors to promote their healthcare analytics solutions. In October 2022, Council Capital and Health Enterprise Partners (HEP), healthcare-focused private equity firms based in the US, announced a platform investment in Alivia Analytics. The company provides a next-generation technology platform, ensuring the accuracy of healthcare payments and leading the fight against fraud, waste, abuse, and error in healthcare claims.
Frequently Asked Questions
How big is the global healthcare fraud analytics market?
The global healthcare fraud analytics market size was valued at USD 1.65 billion in 2022 and is expected to reach USD 5.03 billion by 2028.
What is the growth rate of the healthcare fraud analytics market?
The global healthcare fraud analytics market is growing at a CAGR of 20.45% from 2022-2028.
What are the growing trends in the healthcare fraud analytics market?
The growing trends in the healthcare fraud analytics market are an investment in ICT, advanced technologies offering the greater potential to secure against fraud, and AI in healthcare fraud detection.
Which region holds the most significant global healthcare fraud analytics market share?
North America dominated the global healthcare fraud analytics market in 2022, accounting for a share of over 43%.
Who are the key players in the global healthcare fraud analytics market?
IBM, LexisNexis Risk Solutions, Optum, SAS Institute, Verisk Analytics, and Wipro are the key players in the global healthcare fraud analytics market.
The global healthcare fraud analytics market is expected to grow at a CAGR of approximately 20.45% from 2022 to 2028.
The following factors are likely to contribute to the growth of the healthcare fraud analytics market during the forecast period:
Base Year: 2022
Forecast Year: 2023-2028
The report considers the present scenario of the healthcare fraud analytics market and its market dynamics for 2023−2028. It covers a detailed overview of several market growth enablers, restraints, and trends. The study covers both the demand and supply sides of the industry. It also profiles and analyzes leading companies and several other prominent companies operating in the industry.
Key Company Profiles
Other Prominent Vendors
Segmentation by Solution Type
Segmentation by Delivery Mode
Segmentation by Application
Segmentation by End-user
Segmentation by Geography
1 RESEARCH METHODOLOGY
2 RESEARCH OBJECTIVES
3 RESEARCH PROCESS
4 SCOPE & COVERAGE
4.1 MARKET DEFINITION
4.1.1 INCLUSIONS
4.1.2 EXCLUSIONS
4.1.3 MARKET ESTIMATION CAVEATS
4.2 BASE YEAR
4.3 SCOPE OF THE STUDY
4.3.1 MARKET SEGMENTATION BY SOLUTION TYPE
4.3.2 MARKET SEGMENTATION BY DELIVERY MODE
4.3.3 MARKET SEGMENTATION BY APPLICATION
4.3.4 MARKET SEGMENTATION BY END-USER
4.3.5 MARKET SEGMENTATION BY GEOGRAPHY
5 REPORT ASSUMPTIONS & CAVEATS
5.1 KEY CAVEATS
5.2 CURRENCY CONVERSION
5.3 MARKET DERIVATION
6 MARKET AT A GLANCE
7 PREMIUM INSIGHTS
7.1 OVERVIEW
8 INTRODUCTION
8.1 OVERVIEW
9 MARKET OPPORTUNITIES & TRENDS
9.1 INVESTMENT IN INFORMATION & COMMUNICATION TECHNOLOGY (ICT)
9.2 ADVANCED TECHNOLOGIES OFFER GREAT POTENTIAL TO SECURE AGAINST FRAUD
9.3 AI IN HEALTHCARE FRAUD DETECTION
10 MARKET GROWTH ENABLERS
10.1 INCREASING HEALTHCARE FRAUDULENT ACTIVITIES
10.2 INCREASING NUMBER OF PATIENTS BENEFITING FROM HEALTHCARE INSURANCE
10.3 RISING NUMBER OF PHARMACY CLAIM-RELATED FRAUDS
11 MARKET RESTRAINTS
11.1 CHANGE IN FRAUD PATTERNS
11.2 SECURITY & PRIVACY RISKS WITH FRAUD ANALYTICS SOLUTIONS
11.3 TIME-CONSUMING DEPLOYMENT AND NEED FOR FREQUENT UPGRADES
12 MARKET LANDSCAPE
12.1 MARKET OVERVIEW
12.2 MARKET SIZE & FORECAST
12.2.1 GEOGRAPHY INSIGHTS
12.2.2 SOLUTION TYPE INSIGHTS
12.2.3 DELIVERY MODE INSIGHTS
12.2.4 APPLICATION INSIGHTS
12.2.5 END-USER INSIGHTS
12.3 FIVE FORCES ANALYSIS
12.3.1 THREAT OF NEW ENTRANTS
12.3.2 BARGAINING POWER OF SUPPLIERS
12.3.3 BARGAINING POWER OF BUYERS
12.3.4 THREAT OF SUBSTITUTES
12.3.5 COMPETITIVE RIVALRY
13 SOLUTION TYPE
13.1 MARKET SNAPSHOT & GROWTH ENGINE
13.2 MARKET OVERVIEW
13.3 DESCRIPTIVE ANALYTICS
13.3.1 MARKET OVERVIEW
13.3.2 MARKET SIZE & FORECAST
13.3.3 MARKET BY GEOGRAPHY
13.4 PREDICTIVE ANALYTICS
13.4.1 MARKET OVERVIEW
13.4.2 MARKET SIZE & FORECAST
13.4.3 MARKET BY GEOGRAPHY
13.5 PRESCRIPTIVE ANALYTICS
13.5.1 MARKET OVERVIEW
13.5.2 MARKET SIZE & FORECAST
13.5.3 MARKET BY GEOGRAPHY
14 DELIVERY MODE
14.1 MARKET SNAPSHOT & GROWTH ENGINE
14.2 MARKET OVERVIEW
14.3 ON-PREMISES
14.3.1 MARKET OVERVIEW
14.3.2 MARKET SIZE & FORECAST
14.3.3 MARKET BY GEOGRAPHY
14.4 CLOUD-BASED
14.4.1 MARKET OVERVIEW
14.4.2 MARKET SIZE & FORECAST
14.4.3 MARKET BY GEOGRAPHY
15 APPLICATION
15.1 MARKET SNAPSHOT & GROWTH ENGINE
15.2 MARKET OVERVIEW
15.3 MEDICAL PROVIDER FRAUD
15.3.1 MARKET OVERVIEW
15.3.2 MARKET SIZE & FORECAST
15.3.3 MARKET BY GEOGRAPHY
15.4 PATIENT FRAUD
15.4.1 MARKET OVERVIEW
15.4.2 MARKET SIZE & FORECAST
15.4.3 MARKET BY GEOGRAPHY
15.5 PRESCRIPTION FRAUD
15.5.1 MARKET OVERVIEW
15.5.2 MARKET SIZE & FORECAST
15.5.3 MARKET BY GEOGRAPHY
15.6 GENERAL HEALTHCARE FRAUD
15.6.1 MARKET OVERVIEW
15.6.2 MARKET SIZE & FORECAST
15.6.3 MARKET BY GEOGRAPHY
16 END-USER
16.1 MARKET SNAPSHOT & GROWTH ENGINE
16.2 MARKET OVERVIEW
16.3 PUBLIC HEALTH INSURANCE COMPANIES
16.3.1 MARKET OVERVIEW
16.3.2 MARKET SIZE & FORECAST
16.3.3 MARKET BY GEOGRAPHY
16.4 PRIVATE HEALTH INSURANCE COMPANIES
16.4.1 MARKET OVERVIEW
16.4.2 MARKET SIZE & FORECAST
16.4.3 MARKET BY GEOGRAPHY
16.5 THIRD-PARTY SERVICE PROVIDERS
16.5.1 MARKET OVERVIEW
16.5.2 MARKET SIZE & FORECAST
16.5.3 MARKET BY GEOGRAPHY
16.6 OTHERS
16.6.1 MARKET OVERVIEW
16.6.2 MARKET SIZE & FORECAST
16.6.3 MARKET BY GEOGRAPHY
17 GEOGRAPHY
17.1 MARKET SNAPSHOT & GROWTH ENGINE
17.2 GEOGRAPHIC OVERVIEW
18 NORTH AMERICA
18.1 MARKET OVERVIEW
18.2 MARKET SIZE & FORECAST
18.2.1 MARKET BY SOLUTION TYPE
18.2.2 MARKET BY DELIVERY MODE
18.2.3 MARKET BY APPLICATION
18.2.4 MARKET BY END-USER
18.3 KEY COUNTRIES
18.3.1 US: MARKET SIZE & FORECAST
18.3.2 CANADA: MARKET SIZE & FORECAST
19 EUROPE
19.1 MARKET OVERVIEW
19.2 MARKET SIZE & FORECAST
19.2.1 MARKET BY SOLUTION TYPE
19.2.2 MARKET BY DELIVERY MODE
19.2.3 MARKET BY APPLICATION
19.2.4 MARKET BY END-USER
19.3 KEY COUNTRIES
19.3.1 GERMANY: MARKET SIZE & FORECAST
19.3.2 UK: MARKET SIZE & FORECAST
19.3.3 FRANCE: MARKET SIZE & FORECAST
19.3.4 ITALY: MARKET SIZE & FORECAST
19.3.5 SPAIN: MARKET SIZE & FORECAST
20 APAC
20.1 MARKET OVERVIEW
20.2 MARKET SIZE & FORECAST
20.2.1 MARKET BY SOLUTION TYPE
20.2.2 MARKET BY DELIVERY MODE
20.2.3 MARKET BY APPLICATION
20.2.4 MARKET BY END-USER
20.3 KEY COUNTRIES
20.3.1 CHINA: MARKET SIZE & FORECAST
20.3.2 JAPAN: MARKET SIZE & FORECAST
20.3.3 SOUTH KOREA: MARKET SIZE & FORECAST
20.3.4 INDIA: MARKET SIZE & FORECAST
20.3.5 AUSTRALIA: MARKET SIZE & FORECAST
21 LATIN AMERICA
21.1 MARKET OVERVIEW
21.2 MARKET SIZE & FORECAST
21.2.1 MARKET BY SOLUTION TYPE
21.2.2 MARKET BY DELIVERY MODE
21.2.3 MARKET BY APPLICATION
21.2.4 MARKET BY END-USER
21.3 KEY COUNTRIES
21.3.1 BRAZIL: MARKET SIZE & FORECAST
21.3.2 MEXICO: MARKET SIZE & FORECAST
21.3.3 ARGENTINA: MARKET SIZE & FORECAST
22 MIDDLE EAST & AFRICA
22.1 MARKET OVERVIEW
22.2 MARKET SIZE & FORECAST
22.2.1 MARKET BY SOLUTION TYPE
22.2.2 MARKET BY DELIVERY MODE
22.2.3 MARKET BY APPLICATION
22.2.4 MARKET BY END-USER
22.3 KEY COUNTRIES
22.3.1 TURKEY: MARKET SIZE & FORECAST
22.3.2 SAUDI ARABIA: MARKET SIZE & FORECAST
22.3.3 SOUTH AFRICA: MARKET SIZE & FORECAST
23 COMPETITIVE LANDSCAPE
23.1 COMPETITION OVERVIEW
23.2 MARKET SHARE ANALYSIS
23.2.1 IBM
23.2.2 LEXISNEXIS RISK SOLUTIONS
23.2.3 OPTUM
23.2.4 SAS INSTITUTE
23.2.5 VERISK ANALYTICS
23.2.6 WIPRO
24 KEY COMPANY PROFILES
24.1 IBM
24.1.1 BUSINESS OVERVIEW
24.1.2 PRODUCT OFFERINGS
24.1.3 KEY STRATEGIES
24.1.4 KEY STRENGTHS
24.1.5 KEY OPPORTUNITIES
24.2 LEXISNEXIS RISK SOLUTIONS
24.2.1 BUSINESS OVERVIEW
24.2.2 PRODUCT OFFERINGS
24.2.3 KEY STRATEGIES
24.2.4 KEY STRENGTHS
24.2.5 KEY OPPORTUNITIES
24.3 OPTUM
24.3.1 BUSINESS OVERVIEW
24.3.2 PRODUCT OFFERINGS
24.3.3 KEY STRATEGIES
24.3.4 KEY STRENGTHS
24.3.5 KEY OPPORTUNITIES
24.4 SAS INSTITUTE
24.4.1 BUSINESS OVERVIEW
24.4.2 PRODUCT OFFERINGS
24.4.3 KEY STRATEGIES
24.4.4 KEY STRENGTHS
24.4.5 KEY OPPORTUNITIES
24.5 VERISK ANALYTICS
24.5.1 BUSINESS OVERVIEW
24.5.2 PRODUCT OFFERINGS
24.5.3 KEY STRATEGIES
24.5.4 KEY STRENGTHS
24.5.5 KEY OPPORTUNITIES
24.6 WIPRO
24.6.1 BUSINESS OVERVIEW
24.6.2 PRODUCT OFFERINGS
24.6.3 KEY STRATEGIES
24.6.4 KEY STRENGTHS
24.6.5 KEY OPPORTUNITIES
25 OTHER PROMINENT VENDORS
25.1 ALIVIA ANALYTICS
25.1.1 BUSINESS OVERVIEW
25.1.2 PRODUCT OFFERINGS
25.2 CGI
25.2.1 BUSINESS OVERVIEW
25.2.2 PRODUCT OFFERINGS
25.3 CODOXO
25.3.1 BUSINESS OVERVIEW
25.3.2 PRODUCT OFFERINGS
25.4 CONDUENT
25.4.1 BUSINESS OVERVIEW
25.4.2 PRODUCT OFFERINGS
25.5 COTIVITI
25.5.1 BUSINESS OVERVIEW
25.5.2 PRODUCT OFFERINGS
25.6 FRAUDLENS
25.6.1 BUSINESS OVERVIEW
25.6.2 PRODUCT OFFERINGS
25.7 FRISS
25.7.1 BUSINESS OVERVIEW
25.7.2 PRODUCT OFFERINGS
25.8 HEALTHCARE FRAUD SHIELD
25.8.1 BUSINESS OVERVIEW
25.8.2 PRODUCT OFFERINGS
25.9 NORTHROP GRUMMAN CORPORATION
25.9.1 BUSINESS OVERVIEW
25.9.2 PRODUCT OFFERINGS
25.10 OSP
25.10.1 BUSINESS OVERVIEW
25.10.2 PRODUCT OFFERINGS
25.11 QLARANT
25.11.1 BUSINESS OVERVIEW
25.11.2 PRODUCT OFFERINGS
25.12 QUALETICS DATA MACHINES
25.12.1 BUSINESS OVERVIEW
25.12.2 PRODUCT OFFERINGS
25.13 SHARECARE
25.13.1 BUSINESS OVERVIEW
25.13.2 PRODUCT OFFERINGS
26 REPORT SUMMARY
26.1 KEY TAKEAWAYS
26.2 STRATEGIC RECOMMENDATIONS
27 QUANTITATIVE SUMMARY
27.1 MARKET BY SOLUTION TYPE
27.1.1 NORTH AMERICA: MARKET BY SOLUTION TYPE
27.1.2 EUROPE: MARKET BY SOLUTION TYPE
27.1.3 APAC: MARKET BY SOLUTION TYPE
27.1.4 LATIN AMERICA: MARKET BY SOLUTION TYPE
27.1.5 MIDDLE EAST & AFRICA: MARKET BY SOLUTION TYPE
27.2 MARKET BY DELIVERY MODE
27.2.1 NORTH AMERICA: MARKET BY DELIVERY MODE
27.2.2 EUROPE: MARKET BY DELIVERY MODE
27.2.3 APAC: MARKET BY DELIVERY MODE
27.2.4 LATIN AMERICA: MARKET BY DELIVERY MODE
27.2.5 MIDDLE EAST & AFRICA: MARKET BY DELIVERY MODE
27.3 MARKET BY APPLICATION
27.3.1 NORTH AMERICA: MARKET BY APPLICATION
27.3.2 EUROPE: MARKET BY APPLICATION
27.3.3 APAC: MARKET BY APPLICATION
27.3.4 LATIN AMERICA: MARKET BY APPLICATION
27.3.5 MIDDLE EAST & AFRICA: MARKET BY APPLICATION
27.4 MARKET BY END-USER
27.4.1 NORTH AMERICA: MARKET BY END-USER
27.4.2 EUROPE: MARKET BY END-USER
27.4.3 APAC: MARKET BY END-USER
27.4.4 LATIN AMERICA: MARKET BY END-USER
27.4.5 MIDDLE EAST & AFRICA: MARKET BY END-USER
28 APPENDIX
28.1 ABBREVIATIONS
EXHIBIT 1 SEGMENTATION OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET
EXHIBIT 2 MARKET SIZE CALCULATION APPROACH 2022
EXHIBIT 3 OVERVIEW OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET
EXHIBIT 4 DIGITAL TRANSFORMATION TRENDS IN HEALTHCARE
EXHIBIT 5 IMPACT OF INVESTMENT IN INFORMATION & COMMUNICATION TECHNOLOGY (ICT)
EXHIBIT 6 IMPACT OF ADVANCED TECHNOLOGIES OFFER GREAT POTENTIAL TO SECURE AGAINST FRAUD
EXHIBIT 7 IMPACT OF AI IN HEALTHCARE FRAUD DETECTION
EXHIBIT 8 IMPACT OF INCREASING HEALTHCARE FRAUDULENT ACTIVITIES
EXHIBIT 9 IMPACT OF INCREASING NUMBER OF PATIENTS BENEFITING FROM HEALTHCARE INSURANCE
EXHIBIT 10 IMPACT OF RISING NUMBER OF PHARMACY CLAIM-RELATED FRAUDS
EXHIBIT 11 IMPACT OF CHANGE IN FRAUD PATTERNS
EXHIBIT 12 IMPACT OF SECURITY & PRIVACY RISKS WITH FRAUD ANALYTICS SOLUTIONS
EXHIBIT 13 IMPACT OF TIME-CONSUMING DEPLOYMENT AND NEED FOR FREQUENT UPGRADES
EXHIBIT 14 FACTORS RESPONSIBLE FOR HIGH DEVELOPMENTAL COST OF AI SOLUTION
EXHIBIT 15 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 16 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022 & 2028 (% SHARE)
EXHIBIT 17 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022 & 2028(% SHARE)
EXHIBIT 18 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022 & 2028 (% SHARE)
EXHIBIT 19 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022 & 2028 (% SHARE)
EXHIBIT 20 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022 & 2028 (% SHARE)
EXHIBIT 21 FIVE FORCES ANALYSIS 2022
EXHIBIT 22 INCREMENTAL GROWTH BY SOLUTION TYPE 2022 & 2028
EXHIBIT 23 OVERVIEW OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE
EXHIBIT 24 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE: INCREMENTAL GROWTH ($ MILLION)
EXHIBIT 25 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE: ABSOLUTE GROWTH (%)
EXHIBIT 26 GLOBAL DESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABE GROWTH
EXHIBIT 27 GLOBAL DESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 28 GLOBAL PREDICTIVE HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 29 HEALTHCARE PROVIDERS: BENEFITS ASSOCIATED WITH PREDICTIVE ANALYSIS
EXHIBIT 30 GLOBAL PREDICTIVE HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 31 GLOBAL PRESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 32 GLOBAL PRESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 33 INCREMENTAL GROWTH BY DELIVERY MODE 2022 & 2028
EXHIBIT 34 OVERVIEW OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE
EXHIBIT 35 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE: INCREMENTAL GROWTH ($ MILLION)
EXHIBIT 36 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE: ABSOLUTE GROWTH (%)
EXHIBIT 37 GLOBAL ON-PREMISES HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 38 GLOBAL ON-PREMISES HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 39 GLOBAL CLOUD-BASED HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 40 GLOBAL CLOUD-BASED HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 41 INCREMENTAL GROWTH BY APPLICATION 2022 & 2028
EXHIBIT 42 OVERVIEW OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION
EXHIBIT 43 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION: INCREMENTAL GROWTH ($ MILLION)
EXHIBIT 44 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION: ABSOLUTE GROWTH (%)
EXHIBIT 45 GLOBAL MEDICAL PROVIDER FRAUD HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 46 GLOBAL MEDICAL PROVIDER FRAUD HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 47 GLOBAL PATIENT FRAUD HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 48 GLOBAL PATIENT FRAUD HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 49 GLOBAL PRESCRIPTION FRAUD HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 50 GLOBAL PRESCRIPTION FRAUD HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 51 GLOBAL GENERAL HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 52 GLOBAL GENERAL HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 53 INCREMENTAL GROWTH BY END-USER 2022 & 2028
EXHIBIT 54 OVERVIEW OF GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER
EXHIBIT 55 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER: INCREMENTAL GROWTH
EXHIBIT 56 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER: ABSOLUTE GROWTH
EXHIBIT 57 GLOBAL PUBLIC HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 58 GLOBAL PUBLIC HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 59 GLOBAL PRIVATE HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 60 GLOBAL PRIVATE HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 61 GLOBAL THIRD-PARTY SERVICE PROVIDERS HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 62 GLOBAL THIRD-PARTY SERVICE PROVIDERS HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 63 GLOBAL OTHERS HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 64 GLOBAL OTHERS HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 65 INCREMENTAL GROWTH BY GEOGRAPHY 2022 & 2028
EXHIBIT 66 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY: INCREMENTAL GROWTH
EXHIBIT 67 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY: ABSOLUTE GROWTH
EXHIBIT 68 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET: KEY COUNTRIES 2022 ($ MILLION)
EXHIBIT 69 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 70 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 71 INCREMENTAL GROWTH IN NORTH AMERICA 2022 & 2028
EXHIBIT 72 US HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 73 CANADA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 74 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET: KEY COUNTRIES 2022 ($ MILLION)
EXHIBIT 75 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 76 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 77 INCREMENTAL GROWTH IN EUROPE 2022 & 2028
EXHIBIT 78 GERMANY HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 79 UK HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 80 FRANCE HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 81 ITALY HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 82 SPAIN HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 83 APAC HEALTHCARE FRAUD ANALYTICS MARKET: KEY COUNTRIES 2022 ($ MILLIONS)
EXHIBIT 84 APAC HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 85 APAC HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 86 INCREMENTAL GROWTH IN APAC 2022 & 2028
EXHIBIT 87 CHINA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 88 JAPAN HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 89 SOUTH KOREA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 90 INDIA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 91 AUSTRALIA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 92 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET: KEY COUNTRIES 2022 ($ MILLIONS)
EXHIBIT 93 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 94 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 95 INCREMENTAL GROWTH IN LATIN AMERICA 2022 & 2028
EXHIBIT 96 BRAZIL HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 97 MEXICO HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 98 ARGENTINA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 99 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET: KEY COUNTRIES 2022 ($ MILLIONS)
EXHIBIT 100 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET: INCREMENTAL & ABSOLUTE GROWTH
EXHIBIT 101 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 102 INCREMENTAL GROWTH IN MIDDLE EAST & AFRICA 2022 & 2028
EXHIBIT 103 TURKEY HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 104 SAUDI ARABIA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 105 SOUTH AFRICA HEALTHCARE FRAUD ANALYTICS MARKET 2022–2028 ($ MILLION)
EXHIBIT 106 VENDORS OFFERING FRAUD ANALYTICS SOLUTIONS FOR HEALTHCARE
EXHIBIT 107 VENDORS OFFERING HEALTHCARE FRAUD ANALYTICS SOLUTIONS: MARKET DOMINANCE ANALYSIS
EXHIBIT 108 VENDORS OFFERING COMMERCIAL HEALTHCARE FRAUD ANALYTICS SOLUTION: CAPABILITIES & EXPERTISE ASSESSMENT
LIST OF TABLES
TABLE 1 KEY CAVEATS
TABLE 2 CURRENCY CONVERSION 2015–2022
TABLE 3 GLOBAL DESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 4 GLOBAL DESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 5 GLOBAL PREDICTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 6 GLOBAL PREDICTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 7 GLOBAL PRESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 8 GLOBAL PRESCRIPTIVE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 9 GLOBAL ON-PREMISES HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 10 GLOBAL ON-PREMISES HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 11 GLOBAL CLOUD-BASED HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 12 GLOBAL CLOUD-BASED HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 13 GLOBAL MEDICAL PROVIDER FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 14 GLOBAL MEDICAL PROVIDER FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 15 GLOBAL PATIENT FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 16 GLOBAL PATIENT FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 17 GLOBAL PRESCRIPTION FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 18 GLOBAL PRESCRIPTION FRAUD HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 19 GLOBAL GENERAL HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 20 GLOBAL GENERAL HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 21 GLOBAL PUBLIC HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 22 GLOBAL PUBLIC HEALTH INSURANCE COMPANIES HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 23 GLOBAL PRIVATE HEALTH INSURANCE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 24 GLOBAL PRIVATE HEALTH INSURANCE HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 25 GLOBAL THIRD-PARTY SERVICE PROVIDERS HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 26 GLOBAL THIRD-PARTY SERVICE PROVIDERS HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 27 GLOBAL OTHERS HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 ($ MILLION)
TABLE 28 GLOBAL OTHERS HEALTHCARE FRAUD ANALYTICS MARKET BY GEOGRAPHY 2022–2028 (%)
TABLE 29 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 30 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 31 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 32 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 33 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 34 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 35 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 36 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 37 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 38 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 39 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 40 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 41 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 42 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 43 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 44 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 45 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 46 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 47 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 48 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 49 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 50 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 51 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 52 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 53 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 54 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 55 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 56 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 57 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 58 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 59 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 60 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 61 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 62 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 63 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 64 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 65 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 66 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 67 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 68 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 69 IBM: MAJOR PRODUCT OFFERINGS
TABLE 70 LEXISNEXIS RISK SOLUTIONS: MAJOR PRODUCT OFFERINGS
TABLE 71 OPTUM: MAJOR PRODUCT OFFERINGS
TABLE 72 SAS INSTITUTE: MAJOR PRODUCT OFFERINGS
TABLE 73 VERISK ANALYTICS: MAJOR PRODUCT OFFERINGS
TABLE 74 VERISK ANALYTICS: MAJOR PRODUCT OFFERINGS
TABLE 75 ALIVIA ANALYTICS: MAJOR PRODUCT OFFERINGS
TABLE 76 CGI: MAJOR PRODUCT OFFERINGS
TABLE 77 CODOXO: MAJOR PRODUCT OFFERINGS
TABLE 78 CONDUENT: MAJOR PRODUCT OFFERINGS
TABLE 79 COTIVITI: MAJOR PRODUCT OFFERINGS
TABLE 80 FRAUDLENS: MAJOR PRODUCT OFFERINGS
TABLE 81 FRISS: MAJOR PRODUCT OFFERINGS
TABLE 82 HEALTHCARE FRAUD SHIELD: MAJOR PRODUCT OFFERINGS
TABLE 83 NORTHROP GRUMMAN CORPORATION: MAJOR PRODUCT OFFERINGS
TABLE 84 OSP: MAJOR PRODUCT OFFERINGS
TABLE 85 QLARANT: MAJOR PRODUCT OFFERINGS
TABLE 86 QUALETICS DATA MACHINES: MAJOR PRODUCT OFFERINGS
TABLE 87 SHARECARE: MAJOR PRODUCT OFFERINGS
TABLE 88 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 89 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 90 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 91 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 92 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 93 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 94 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 95 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 96 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 97 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 98 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 ($ MILLION)
TABLE 99 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY SOLUTION TYPE 2022–2028 (%)
TABLE 100 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 101 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 102 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 103 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 104 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 105 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 106 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 107 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 108 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 109 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 110 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 ($ MILLION)
TABLE 111 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY DELIVERY MODE 2022–2028 (%)
TABLE 112 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 113 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 114 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 115 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 116 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 117 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 118 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 119 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 120 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 121 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 122 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 ($ MILLION)
TABLE 123 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY APPLICATION 2022–2028 (%)
TABLE 124 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 125 GLOBAL HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 126 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 127 NORTH AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 128 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 129 EUROPE HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 130 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 131 APAC HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 132 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 133 LATIN AMERICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
TABLE 134 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 ($ MILLION)
TABLE 135 MIDDLE EAST & AFRICA HEALTHCARE FRAUD ANALYTICS MARKET BY END-USER 2022–2028 (%)
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"The report by Arizton was spot on. It not only gave us insight into the pro audio market, we used it to raise funds for our company. The data proved (to the VC we pitched to) that the market was large enough for our company to not only survive but also grow."
