Financial Fraud Detection Software Market By Component (Solution [Fraud Analytics, Authentication and GRC] and Service [Professional Services and Managed Services]), Type (Identity Theft, Wire Transfer Frauds, Claim Frauds, Money Laundering, Subscription Frauds and Debit & Credit Card Frauds), Deployment (On-Premise and Cloud) and End-User (Banks, Financial Institutions, Insurance Companies and Others): Global Opportunity Analysis and Industry Forecast, 2021–2030

Financial Fraud Detection Software Market Outlook - 2030

Financial fraud detection software (FFDS) is a technological solution for tracking and scoring monetary transactions. It allows users to detect fraud related to online financial and electronic payments. Fraud and consumer analytics, multi-factor authentication, reporting & visualization solutions are all used in this process. By reducing threat detection time, managing large data sets and using correlation to identify fraud patterns, unusual behaviors or unauthorized network access, the software aids in minimizing losses.

Furthermore, fraud detection software is a solution that combines machine learning and stream computing to create a model. This model examines a client's previous data in order to identify possible fraud patterns. Moreover, financial fraud detection software helps to reduce losses by reducing detection time, managing large data sets, and identifying fraud patterns or unusual behaviors through correlation. Therefore, the increase in demand for financial fraud detection software is expected to boost the market growth in the near future.

The global financial fraud detection software market is segmented on the basis of component, type, deployment, end-user and region. Based on component, the market is divided into solution and service. The solution segment is further divided into fraud analytics, authentication and GRC. The service segment is also further divided into professional services and managed services. In terms of type, the market is categorized into identity theft, wire transfer frauds, claim frauds, money laundering, subscription frauds and debit & credit card frauds.

On the basis of deployment, the market is divided into on-premise and cloud. On the basis of end-user, the market is divided into banks, financial institutions, insurance companies and others. Geographically, the market is analyzed across several regions such as North America, Europe, Asia-Pacific, and Latin America, Middle East & Africa (LAMEA).

Key players operating in the global financial fraud detection software industry include BioCatch, Digital Resolve, Experian Information Solutions Inc., Thales Group, Equifax Inc., SAS Institute Inc., Signifyd, Actico GmbH, CipherCloud and FraudLabsPro. These companies have adopted several strategies such as product launches, partnerships, collaborations, mergers & acquisitions, and joint ventures to strengthen their foothold in the global financial fraud detection software market.

Market Scope and Structure Analysis

COVID-19 Scenario Analysis

• The market for digital technologies has experienced growth as a result of each country's national lockdown during the COVID-19 outbreak. Most of the people now use one or more digital platforms, such as WFH, online transactions via their banks' digital apps, or mobile/digital money wallets, for a variety of reasons. This has made people's daily lives easier; however, it has also made it easier for fraudsters and money launderers to gain access to critical information from digital platforms by hacking them.
• The global fraud detection and prevention market is expected to grow significantly due to an increase in cyber-attacks, financial frauds or crimes, and data breaching events during the pandemic. Furthermore, surge in advancements in fraud detection and prevention software, such as pre-defined setups for historical and real-time alerts and flexible browser-based interfaces boost the growth of the fraud detection and prevention industry.

Top Impacting Factors

Increased adoption of fraud detection & prevention system and integration of technologies in banking sector are driving the growth of the market. In addition, rise in adoption of machine learning to minimize manual labor propel the growth of the market. However, increased complexities of frauds is expected to limit the growth of the market. Contrarily, increase in adoption of cloud-based technologies to minimize the risks & frauds all over the globe can be seen as an opportunity for the market investments.

Increased Adoption of Fraud Detection & Prevention Systems

The world is undergoing a digital transformation. Users of the internet are no longer limited to online search and social networking, but have expanded their activities to include online banking and shopping. Apart from banking, fake websites that resemble shops and home delivery services are on the rise, luring people into making online transactions. IoT is becoming an important part of consumer lifestyle and industrial operations as the use of IoT grows and new IoT inbuilt devices enter the market.

Furthermore, ad and ATM frauds are two major IoT frauds that are both common and egregious in the IoT world. Moreover, the rise in fraud as a result of cybercriminals impersonating debit and credit card activations, online bookings, free coronavirus tests & job offers has prompted the adoption of fraud detection software and prevention systems, which is expected to boost the growth of the market during the forecast period.

Integration of Technologies in Banking Sector

The banking and financial services industries are early adopters of risk-prevention technology. Financial institutions are extremely vulnerable as a result of large online data transactions. It is becoming increasingly important for financial institutions to safeguard transactions against fraud as the use of digital banking grows. Financial institutions are now concentrating not only on financial risk mitigation but also on real-time fraud detection.

With the introduction of pattern recognition, fraud detection methods are evolving. Moreover, machine learning technologies have given artificial intelligence a major boost in terms of defending any system, as ML can protect companies from insider fraud and identify any anomalies in individuals who might leak the data. Therefore, the surge in demand for financial fraud detection software is expected to boost the growth of the market during the forecast period.

Key Segments Covered

Key Benefits of the Report

• This study presents analytical depiction of the global financial fraud detection software market forecast along with the current trends and future estimations to determine the imminent investment pockets.   
• The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global financial fraud detection software market trends.   
• The current market is quantitatively analyzed from 2021 to 2030 to highlight the global financial fraud detection software market growth scenario.           
• Porter’s five forces analysis illustrates the potency of buyers & suppliers in the global financial fraud detection software market.
• The report provides a detailed global financial fraud detection software market analysis based on the present and future competitive intensity of the market.

Questions Answered in the Financial Fraud Detection Software Market Research Report         

• Who are the leading market players active in the global financial fraud detection software market size?
• What would be the detailed impact of COVID-19 on the global financial fraud detection software market share?
• What current trends would influence the global financial fraud detection software market in the next few years?
• What are the driving factors, restraints, and opportunities in the global financial fraud detection software market?
• What are the projections for the future that would help in taking further strategic steps?

 Key Market Segments & Key Market Players