replique montre fausse rolex african american wigs diamond art Financial Fraud Detection Software Market Size, Share, Growth, Challenges On Present State & Future Growth Revenue Period 2020-2025
 

Financial Fraud Detection Software Market Size, Share, Growth, Challenges On Present State & Future Growth Revenue Period 2020-2025

By Digvijay Chakravarty 06 May 2020 Business

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 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

 

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

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.

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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.

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.

 

Chapter 8.           Competitive Intelligence

8.1.        Company Market Share (Subject to Data Availability)

8.2.        Top Market Strategies

8.3.        Company Profiles

8.3.1.     Gemalto NV

8.3.1.1. Overview

8.3.1.2. Financial (Subject to Data Availability)

8.3.1.3. Product Summary

8.3.1.4. Recent Developments

8.3.2.     SEKUR.me

8.3.3.     CipherCloud

8.3.4.     SIGNIFYD Inc.

8.3.5.     Riskified Ltd.

8.3.6.     ACI Worldwide

8.3.7.     EastNets

8.3.8.     Banker’s Toolbox

8.3.9.     Verafin

8.3.10.  Cellent Finanace Solutions

8.3.11.  Safe Banking Systems

8.3.12.  Truth & Technologies

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Digvijay Chakravarty

Digvijay Chakravarty presently develops content for a slew of portals, including businessstatsnews and Industry Stats Report. A post graduate in mathematics and business administration. As a content writer, he currently writes articles pertaining to the latest industry news, business trends, and market research.

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