A Latest intelligence report published by AMA Research with title “Fraud Analytics Software Market Outlook to 2026. A detailed study accumulated to offer Latest insights about acute features of the Global Fraud Analytics Software Market. This report provides a detailed overview of key factors in the Fraud Analytics Software Market and factors such as driver, restraint, past and current trends, regulatory scenarios and technology development. A thorough analysis of these factors including economic slowdown, local & global reforms and COVID-19 Impact has been conducted to determine future growth prospects in the global market.
Major Players in This Report Include,
IBM (United States),FICO (United States),Oracle (United States),SAS Institute (United States),BAE Systems (United Kingdom),DXC Technology (United States),SAP (Germany),ACI Worldwide (United States),Fiserv (United States),ThreatMetrix (United States)
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Fraud analytics software, is a hybrid approach to fraud detection and prevention, uses numerous techniques such as advanced analytics with embedded machine learning, artificial intelligence (AI) and combined with traditional detection method to identify more suspicious activity and unknown patterns. Moreover, it analyse each transaction in real time, and searching for unusual patterns that may suggest fraudulent behavior and stopping transactions before fraud can occur, as well as evolve and adapt over time.
Increasing Use of Big Data Analytics and Artificial Intelligence in Fraud Detection
Introduction of Hybrid Analytical Techniques
Increasing Use of Electronic Transactions
Rising Revenue Losses Due to Frauds
Increase in the Frequency and Sophistication of Cyber Frauds and Attacks
Increasing Difficulty in Detecting Fraudulent Activities at an Early Stage
High Cost Associated With Deploying Fraud Analytics Software
Several Government Initiatives in the Use of Digital Technologies and Digital Banking for Payments
The Global Fraud Analytics Software Market segments and Market Data Break Down are illuminated below:
by Type (Predictive Analytics Software, Customer Analytics Software, Social Media Analytics Software, Big Data Analytics Software, Behavioral Analytics Software), Application (Telecommunication, Government/Public sector, Healthcare, Real Estate, Energy and Power, Manufacturing, Others), Organization Size (SMEs Enterprises, Large Enterprises), Deployment Type (Cloud, On-premises)
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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
Strategic Points Covered in Table of Content of Global Fraud Analytics Software Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Fraud Analytics Software market
Chapter 2: Exclusive Summary – the basic information of the Fraud Analytics Software Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Fraud Analytics Software
Chapter 4: Presenting the Fraud Analytics Software Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying market size by Type, End User and Region 2015-2020
Chapter 6: Evaluating the leading manufacturers of the Fraud Analytics Software market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries (2021-2026).
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
Finally, Fraud Analytics Software Market is a valuable source of guidance for individuals and companies in decision framework.
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