Any illegal act involving the obtaining of something of value through willful misrepresentation is called fraud. Fraud detection and prevention systems (FDP) are those software applications which are used to provide analytical solutions for detection and prevention of fraud in future. Authentication solutions and fraud analytical solutions form the core of FDP systems. FDP systems analyze data from wide range of data sources for possible inaccuracies. It analyzes patterns, anomalies and trends in the transactions. It identifies the outliers and reports the same in case of doubtful situations and transactions. 

Rise in the enterprise data and its complexity, industry specific requirements, and increase in cost of fraud, are some of the factors acting as drivers for FDP market. Apart from these, technological advancements and regulatory changes will also drive the demand for FDP. However, high cost involvement, low level of awareness, and unavailability of pre-deployment measures are expected to hinder the growth of the FDP market. 

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The limited capability of legacy system has also led to the enterprises switching to FDP. The technological advancements and new FDP solutions will lead to increase in demand. The upcoming new visualization tools and applications along with customer analytics and predictive analytics will further increase the demand for FDP. Growing size of enterprise data and globalization has made it difficult to analyze real time data by legacy systems. This has led the companies to adopt FDP, subsequently pushing up the demand.