Welcome!

Agile Computing Authors: Liz McMillan, Pat Romanski, Elizabeth White, Dana Gardner, Andy Thurai

News Feed Item

Research and Markets: Worldwide Fraud Detection and Prevention (Fraud Analytics & Authentication) Market Report 2013-2018: Predictive, Customer, Social Media, Visual

Research and Markets (http://www.researchandmarkets.com/research/tgj2tw/fraud_detection) has announced the addition of the "Fraud Detection and Prevention Market by Fraud Analytics & Authentication - Global Advancements, Worldwide Forecasts & Analysis (2013 - 2018)" report to their offering.

Market is expected to grow from $3.61 billion in 2013 to $7.55 billion by 2018, at a Compound Annual Growth Rate (CAGR) of 15.9% during the forecast period.

Enterprises today are more vulnerable to fraud incidents. The prime reasons behind this vulnerability are the massive amount of enterprise data and the technological advancements. As the size of the enterprise data increases, analysis of that data becomes much complex. On the other hand, criminals always try to cheat enterprises for their own benefits and personal interest. Fraud Detection and Prevention solutions provide strong defense against such incidents and help to find and/or prevent from such occurrences.

Earlier, counter measures against frauds were manual, but over the time size of the enterprise data increased and new technology-based automatic software-based applications replaced many of the old manual methods. In the era of globalization, size of the enterprise data increased more and it became very difficult for traditional data mining applications and tools to analyze this data in real time.

Then, new technological advancements started shaping this market and the new breed of Fraud Detection and Prevention solutions came into existence. These solutions were based on the new technologies such as predictive analytics, customer analytics, and new type of visualization tools and application. Along with the analytical solutions, authentication solutions also traveled a long distance from SFA to MFA and now toward strong authentication.

This report focuses on global Fraud Detection and Prevention market across end-users, different industry verticals, and geographic regions. Key segments included in the report are by solutions (fraud analytics and authentication), end-users (SMEs and enterprises), verticals (banking and financial services, insurance, retail, telecommunications, and public sector/government sector).

Scope of Report

Solutions

  • Fraud analytics:
  • Predictive analytics
  • Customer analytics
  • Social media analytics
  • Visual analytics and tools
  • Others

Authentication:

  • Single--Factor Authentication (SFA)
  • Multifactor Authentication (MFA)
  • Strong authentication

End-users

  • SMEs
  • Large Enterprises

Verticals

  • Banking and financial services
  • Insurance
  • Retail
  • Telecommunication
  • Public sector/government sector
  • Others

Key Topics Covered:

1 Introduction

2 Executive Summary

3 Market Overview

4 Fraud Detection And Prevention: Market Size And Forecast By Solutions

5 Fraud Detection And Prevention: Market Size And Forecast By End-Users

6 Fraud Detection And Prevention: Market Size And Forecast By Verticals

7 Fraud Detection And Prevention: Market Size And Forecast By Regions

8 Fraud Detection And Prevention: Market Landscape

9 Company Profiles

- Aci Worldwide

- Alaric Systems

- Bae Systems Detica

- Bosch Software Innovations Gmbh

- Computer Sciences Corporation

- Cvidya

- Easy Solution

- Emc Corporation

- Fico

- Fis

- Fiserv

- Ibm

- Lavastorm Analytics

- Mastercard

- Oracle

- Sap

- Sas

- Threatmetrix

- Validsoft

- Visa

For more information visit http://www.researchandmarkets.com/research/tgj2tw/fraud_detection

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.