Financial Fraud Detection Software Market – Major Technology Giants in Buzz Again | CipherCloud, SIGNIFYD, Riskified, ACI Worldwide

HTF Market Intelligence released a new research report of 200 pages on title 'Global Financial Fraud Detection Software Market Size study, by Type (Money Laundering Detection Software, Identity Theft Detection Software, Credit-Debit Card Fraud Detection Software, Wire Transfer Fraud Detection Software, Subscription Fraud and Claim Fraud Detection Software), by Demand (Financial Enterprise, Educational Institution, Government, Manufacturing Sector, Healthcare Sector) and Regional Forecasts 2018-2025'  with detailed analysis, forecast and strategies. The study covers key regions that includes North America, South America, Asia, Europe and important players such as Gemalto NV, SEKUR.me, CipherCloud, SIGNIFYD Inc., Riskified Ltd., ACI Worldwide, EastNets, Banker’s Toolbox, Verafin, Cellent Finance Solutions, Safe Banking Systems, Truth & Technologies.

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Summary
Global Financial Fraud Detection Software Market to reach USD XX billion by 2025.

Global Financial Fraud Detection Software Market valued approximately USD XX billion in 2017 is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2018-2025. The major driving factor of global Financial Fraud Detection Software market are growing use of mobile banking, increasing concern towards benefit of fraud detection and rising in preference of digital data make enterprises. In addition increasing fraudulent activities and increasing growth in internet transaction are some factors that boosting the market growth of Financial Fraud Detection Software. The major restraining factor of global financial fraud detection software market are high deployment cost of the software, lack of skilled professionals, high cost of various machine learning and statistical analytics solutions. Financial Fraud detection software is a solution which consists of a model built by machine learning methods and stream computing. There are many benefits of financial fraud detection software such as Identify & act on unusual behavior using real-time analytics of transactional data, minimize losses from fraud by reducing time-to-time detection, manage massive amounts of data in motion from multiple data sources and increase visibility of fraud detection efforts with complete auditing transparency & traceability.

The regional analysis of Global Financial Fraud Detection Software Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America emerges as the leader in the financial fraud detection software market across the globe due to presence of large financial and healthcare enterprises. European countries such as France, Greece and UK are also extracting their market and will see a good rate of growth in future in financial fraud detection software due to increase in crimes such as card fraud and identity fraud. Asia-Pacific region is also anticipated to exhibit higher growth rate / CAGR over the forecast period 2018-2025, due to increase in corporate fraud and corruption in government organizations followed by Latin America.

The major market player included in this report are:
• Gemalto NV
• SEKUR.me
• CipherCloud
• SIGNIFYD Inc.
• Riskified Ltd.
• ACI Worldwide
• EastNets
• Banker’s Toolbox
• Verafin
• Cellent Finance Solutions
• Safe Banking Systems
• Truth & Technologies

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The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:

§ Money Laundering Detection Software
§ Identity Theft Detection Software
§ Credit-Debit Card Fraud Detection Software
§ Wire Transfer Fraud Detection Software
§ Subscription Fraud and Claim Fraud Detection Software
 
By Demand:

§ Financial Enterprise
§ Educational Institution
§ Government
§ Manufacturing Sector
§ Healthcare Sector

By Regions:
§ North America
o U.S.
o Canada
§ Europe
o UK
o Germany
§ Asia Pacific
o China
o India
o Japan
§ Latin America
o Brazil
o Mexico
§ Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025

Target Audience of the Global Financial Fraud Detection Software Market in Market Study:

§ Key Consulting Companies & Advisors
§ Large, medium-sized, and small enterprises
§ Venture capitalists
§ Value-Added Resellers (VARs)
§ Third-party knowledge providers
§ Investment bankers
§ Investors

View Detailed Table of Content @ https://www.htfmarketreport.com/reports/1499375-global-financial-fraud-detection-software-market-size-study-by-type

TABLE OF CONTENTS

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
1.3.1. Financial Fraud Detection Software, by Type, 2015-2025 (USD Billion)
1.3.2. Financial Fraud Detection Software, by Demand, 2015-2025 (USD Billion)
1.3.3. Financial Fraud Detection Software, by Region, 2015-2025 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Financial Fraud Detection Software Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Financial Fraud Detection Software Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Financial Fraud Detection Software Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Value Chain Analysis
4.3.1. Supplier
4.3.2. Manufacturers/Service Provider
4.3.3. Distributors
4.3.4. End-Users
4.4. Key Buying Criteria
4.5. Regulatory Framework
4.6. Cost Structure Analysis
4.6.1. Raw Material Cost Analysis
4.6.2. Manufacturing Cost Analysis
4.6.3. Labour Cost Analysis
4.7. Investment Vs Adoption Scenario
4.8. Analyst Recommendation & Conclusion
Chapter 5. Financial Fraud Detection Software, by Type
5.1. Market Snapshot
5.2. Market Performance - Potential Model
5.3. Key Market Players
5.4. Financial Fraud Detection Software, Sub Segment Analysis
5.4.1. Money Laundering Detection Software
5.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.2. Identity Theft Detection Software
5.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.3. Credit-Debit Card Fraud Detection Software
5.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.4. Wire Transfer Fraud Detection Software
5.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.5. Subscription Fraud and Claim Frauds Detection Software
5.4.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 6. Financial Fraud Detection Software, by Demand
6.1. Market Snapshot
6.2. Market Performance - Potential Model
6.3. Key Market Players
6.4. Financial Fraud Detection Software, Sub Segment Analysis
6.4.1. Financial Enterprise
6.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.2. Educational Institutions
6.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.3. Government
6.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.4. Manufacturing Sector
6.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.5. Healthcare Sector
6.4.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
Chapter 7. Financial Fraud Detection Software, by Regional Analysis
7.1. Financial Fraud Detection Software, Regional Market Snapshot (2015-2025)
7.2. North America Financial Fraud Detection Software Snapshot
7.2.1. U.S.
7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2. Canada
7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.2. Components breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.3. Applications breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.4. End user breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3. Europe Financial Fraud Detection Software  Snapshot
7.3.1. U.K.
7.3.1.1. Market estimates & fore

....Continued

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