Global Insurance Fraud Detection Market 2024 by Company, Regions, Type and Application, Forecast to 2030
According to our (Global Info Research) latest study, the global Insurance Fraud Detection market size was valued at USD 2048.1 million in 2023 and is forecast to a readjusted size of USD 5116.1 million by 2030 with a CAGR of 14.0% during review period.
Insurance Fraud Detection refers to the detection and prevention of insurance fraud through services and solutions such as fraud analysis and authentication.
The Global Info Research report includes an overview of the development of the Insurance Fraud Detection industry chain, the market status of Claims Fraud Detection (Fraud Analytics, Authentication), Identity Theft Detection (Fraud Analytics, Authentication), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Insurance Fraud Detection.
Regionally, the report analyzes the Insurance Fraud Detection markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Insurance Fraud Detection market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Insurance Fraud Detection market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Insurance Fraud Detection industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Fraud Analytics, Authentication).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Insurance Fraud Detection market.
Regional Analysis: The report involves examining the Insurance Fraud Detection market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Insurance Fraud Detection market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Insurance Fraud Detection:
Company Analysis: Report covers individual Insurance Fraud Detection players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Insurance Fraud Detection This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Claims Fraud Detection, Identity Theft Detection).
Technology Analysis: Report covers specific technologies relevant to Insurance Fraud Detection. It assesses the current state, advancements, and potential future developments in Insurance Fraud Detection areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Insurance Fraud Detection market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Insurance Fraud Detection market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Fraud Analytics
Authentication
Other
Market segment by Application
Claims Fraud Detection
Identity Theft Detection
Payment and Billing Fraud Detection
Money Laundering Detection
Other
Market segment by players, this report covers
FICO
IBM
BAE Systems
SAS Institute
Experian
LexisNexis
Iovation
FRISS
SAP
Fiserv
ACI Worldwide
Simility
Kount
Software AG
BRIDGEi2i Analytics Solutions
Perceptiviti
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Insurance Fraud Detection product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Insurance Fraud Detection, with revenue, gross margin and global market share of Insurance Fraud Detection from 2019 to 2024.
Chapter 3, the Insurance Fraud Detection competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Insurance Fraud Detection market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Insurance Fraud Detection.
Chapter 13, to describe Insurance Fraud Detection research findings and conclusion.