Insurance Fraud Detection Market - Opportunities and Forecast, 2020-2027


Posted September 9, 2020 by shaqibakram

Increasing cyber-attack, substantial financial losses due to attacks on the insurance sector, and growing need to manage the enormous volume of identities by enterprises are driving the market growth.

 
Fraud Detectionuses to prevent money or property to be acquired by pretenses. Fraud detection is applied in various industries such as banking and insurance etc. Insurance fraud affects insurers and peoples. Insurance fraud in this industry, such as medical billing fraud, life insurance fraud, claim frauds, etc. Fraud detection uses various techniques to detect fraud which include AI, data analytics etc. It detects fraud by putting algorithms to identify patterns and anomalies.

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Increasing cyber-attack, substantial financial losses due to attacks on the insurance sector, and growing need to manage the enormous volume of identities by enterprises are driving the market growth. For instance, according to the Federal Bureau of Investigation, Insurance fraud is a second mostly white-collar crime in the United States, and it accounts for around $300 million losses every year. In addition, increasing the adoption of advanced technology like Artificial Intelligence (AI), Big Data and data analytics to enhance customer experience is also propelling the market growth. Moreover, growing trends of advance technology such as the Internet of Things (IoT), cloud computing and increasing penetration smartphones, tablets, laptops etc increases the volume of data and transactions which increases the chance of being targeted by fraudsters which further increases the need of fraud detection solution. However, lack of awareness among organisation about fraud detection and lack of integration coupled with improper implementation of fraud detection solutions are restraining the market growth.

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The Global Insurance Fraud Detection Market has been segmented on the basis of Component, Deployment Type, Organization Size, application and Geography. Based on the component market is categorized into Solutions and Services. On the basis of deployment type market is segmented into On-premises and Cloud. Based on the organization size market is segmented into Small and Medium-sized Enterprises and Large Enterprises. Based on the application market is categorized into Claims Fraud, Identity Theft, Payment Fraud and Billing Fraud and Payment Fraud and Billing Fraud and by geography.

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The research report “Global Insurance Fraud Detection Market” provides an in-depth analysis of the global Insurance Fraud Detection market based on component, deployment, application and major geographies for the forecast period from 2019 to 2026. The report also highlights the major market drivers propelling the growth as well as challenges faced by market participants. The research report provides market size and forecast for the global insurance fraud detection market. In addition, the report also analyses the competitive landscape, major players and their strategies in 2018. The competitive landscape section of the report captures and highlights the recent developments in the market.

Key questions answered in this research report:

At what pace is the global insurance fraud detection market growing? What will be a growth trend in the future?
What are the key drivers and restraints in the current market? What will be the impact of drivers and restraints in the future?
What are the regional revenue and forecast breakdowns? Which are the major regional revenue pockets for growth in the global insurance fraud detection market?
What are the various application areas and how they are poised to grow?

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Last Updated September 9, 2020