Global Financial Fraud Detection Software Market Size, Status and Forecast 2018-2025

SKU ID :QYR-12829750 | Published Date: 18-Sep-2018 | No. of pages: 97
This report focuses on the global Financial Fraud Detection Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Financial Fraud Detection Software development in United States, Europe and China.

In 2017, the global Financial Fraud Detection Software market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.

The key players covered in this study
Gemalto NV
SEKUR.me
CipherCloud
SIGNIFYD Inc
Riskified Ltd
ACI Worldwide
EastNets
Banker's Toolbox
Verafin
Cellent Finance Solutions
Safe Banking Systems
Truth Technologies

Market segment by Type, the product can be split into
Money Laundering Detection Software
Identity Theft Detection Software
Credit/Debit Card Fraud Detection Software
Wire Transfer Fraud Detection Software
Others

Market segment by Application, split into
Financial Enterprises
Educational Institutions
Government
Manufacturing Sectors

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Financial Fraud Detection Software status, future forecast, growth opportunity, key market and key players.
To present the Financial Fraud Detection Software development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Financial Fraud Detection Software are as follows:
History Year: 2013-2017
Base Year: 2017
Estimated Year: 2018
Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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