Press Release

Fraud Detection and Prevention Market Development, Key Opportunity, Application and Forecast to 2026 | Fortune Business Insights

Top Players in Fraud Detection and Prevention Market are HCL Technologies, IBM, Oracle, NCR Corporation, SAP Logistics Leadership, BAE Systems, ACI Worldwide, Lavastorm, an Infogix Company., ThreatMetrix

The global fraud detection and prevention (FDaP) market is likely to grow considerably in the coming years due to the incorporation of technologies such as artificial intelligence and data mining. According to a report published by Fortune Business Insights, titled “Fraud Detection And Prevention Market, Size, Share And Global Trend By Component (Solutions, Services), Deployment (Cloud, On-Premise), Organization Size (SMEs, Large Enterprises), Vertical (BFSI, IT And Telecommunication, Retail And Consumer Packed Goods, Government, Real Estate, Energy And Utilities, Travel And Transportation, Manufacturing, Healthcare And Life Sciences, Media And Entertainment, Others) And Geography Forecast Till 2026,” the market was valued at USD19,269.8 Mn 2018. Fortune Business Insights has predicted that the market will reach USD 1,10,041.3 Mn by the end of 2026, thereby exhibiting a CAGR of 25.48%.

Request a Sample Copy of the Global Market Research Report: https://www.fortunebusinessinsights.com/enquiry/sample/fraud-detection-and-prevention-technology-market-100231

Top Players List:

  • HCL Technologies
  • IBM
  • Oracle
  • NCR Corporation
  • SAP Logistics Leadership
  • BAE Systems
  • ACI Worldwide
  • Lavastorm, an Infogix Company.
  • ThreatMetrix

Fortune Business Insights provides a detailed evaluation of the global market by analyzing the factors driving the market. Besides this, it also discusses some of the economic trends prevailing in the energy and power industry. These trends are analyzed in the report to see an overall impact on the global market.

Integration of internet of things with the system is a major factor anticipated to fuel the demand in the market during the forecast period 2018-2026. Additionally, rising adoption of e-financial services is expected to boost the global market.

For more information in the analysis of this report, visit: https://www.fortunebusinessinsights.com/industry-reports/fraud-detection-and-prevention-technology-market-100231

Segmentation

1. By Component

  • Solution
  • Services

2. By Deployment

  • On-Premise
  • Cloud

3. By Organization Size

  • Large
  • Small & Medium Enterprises (SMEs)

4. By Application Area

  • Insurance Claims
  • Money Laundering
  • Electronic Payment
  • Others

5. By Vertical

  • BFSI
  • IT & Telecommunication
  • Government
  • Retail & Consumer Packed Goods
  • Manufacturing
  • Healthcare and Life Sciences
  • Construction & Real Estate
  • Travel and Transportation
  • Energy and Utilities
  • Media & Entertainment

6. By Geography

  • North America (USA and Canada)
  • Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)
  • Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
  • Latin America (Brazil, Mexico and Rest of Latin America)
  • Middle East & Africa (South Africa, GCC and Rest of Middle East & Africa)

Key Industry Developments

  • Aug ,2018 – Fiserv, Inc. (NASDAQ: FISV), launched two enhanced consumer authentication solutions, step-up authentication and identity verification, to mitigate card fraud within call centres.
  • April, 2019 – BAE Systems introduced the NetReveal Fraud Prevention Solution with advanced analytics and detection methodologies employing machine learning techniques helping banks, insurers, and government agencies identify fraudulent activities.

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Table of Content

5. Global Fraud Detection and Prevention Market Analysis, Insights and Forecast, 2015-2026
5.1. Key Findings / Summary
5.2. Market Sizing Estimations and Forecasts – By Component (USD Mn)
5.2.1. Solutions
5.2.1.1. Fraud Analytics
5.2.1.1.1. Predictive Analytics
5.2.1.1.2. Customer Analytics
5.2.1.1.3. Social Media Analytics
5.2.1.1.4. Big Data Analytics
5.2.1.1.5. Behavioural Analytics
5.2.1.2. Authentication
5.2.1.2.1. Single-Factor Authentication
5.2.1.2.2. Multi-Factor Authentication
5.2.1.3. Governance, Risk, and Compliance
5.2.2. Services
5.2.2.1. Professional Services
5.2.2.1.1. Consulting
5.2.2.1.2. Training and Education
5.2.2.1.3. Support and Maintenance
5.2.2.2. Managed Services
5.3. Market Sizing Estimations and Forecasts – By Application (USD Mn)
5.3.1. Insurance claims
5.3.2. Money laundering
5.3.3. Electronic payment
5.3.4. Others
5.4. Market Sizing Estimations and Forecasts – By Deployment (USD Mn)
5.4.1. Cloud
5.4.2. On-Premises
5.5. Market Sizing Estimations and Forecasts – By Organization Size (USD Mn)
5.5.1. Small and Medium Enterprises (SMEs)
5.5.2. Large Enterprises
5.6. Market Sizing Estimations and Forecasts – By Vertical (USD Mn)
5.6.1. BFSI
5.6.2. IT and Telecom
5.6.3. Retail and Consumer Packaged Goods
5.6.4. Government
5.6.5. Real Estate and Construction
5.6.6. Energy and Utilities
5.6.7. Travel and Transportation
5.6.8. Manufacturing
5.6.9. Healthcare and Life Sciences
5.6.10. Media and Entertainment
5.6.11. Others
5.7. Market Analysis, Insights and Forecast – By Geography (USD Mn)
5.7.1. North America
5.7.2. Europe
5.7.3. Asia Pacific
5.7.4. Middle East and Africa
5.7.5. Latin America
6. North America Fraud Detection and Prevention Market Analysis, Insights and Forecast, 2015-2026
6.1. Key Findings / Summary
6.2. Market Sizing Estimations and Forecasts – By Component (USD Mn)
6.2.1. Solutions
6.2.1.1. Fraud Analytics
6.2.1.1.1. Predictive Analytics
6.2.1.1.2. Customer Analytics
6.2.1.1.3. Social Media Analytics
6.2.1.1.4. Big Data Analytics
6.2.1.1.5. Behavioural Analytics
6.2.1.2. Authentication
6.2.1.2.1. Single-Factor Authentication
6.2.1.2.2. Multi-Factor Authentication
6.2.1.3. Governance, Risk, and Compliance
6.2.2. Services
6.2.2.1. Professional Services
6.2.2.1.1. Consulting
6.2.2.1.2. Training and Education
6.2.2.1.3. Support and Maintenance
6.2.2.2. Managed Services
6.3. Market Sizing Estimations and Forecasts – By Application (USD Mn)
6.3.1. Insurance claims
6.3.2. Money laundering
6.3.3. Electronic payment
TOC Continued….!

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Ruby Arterburn

Ruby is leading the team writing for artificial intelligence. She is a newcomer in the organization and has already made her base and reputation with her hard work and her efficiency towards her field. Being a student of computer science it has become easier for her to understand the objectives and the expected results of this column. She is also an excellent cook, and now and then, and we get the opportunity to taste her deliciously baked cookies.

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