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市場調查報告書

詐騙分析的全球市場 (2015∼2019年)

Global Fraud Analytics Market 2015-2019

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 331953
出版日期 內容資訊 英文 72 Pages
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詐騙分析的全球市場 (2015∼2019年) Global Fraud Analytics Market 2015-2019
出版日期: 2015年06月03日 內容資訊: 英文 72 Pages
簡介

所謂詐騙是打算透過虛假陳述而從個人、企業獲得資金的違法行為。詐騙的發生數量年年增加,成為對全球各企業來說重要的課題。詐騙在全球各地發生,罪犯手法非常洗練,技術水準也採用高手法進行犯罪。詐騙有非法交易 (線上/離線) ,不正確的信用申請,ID盜竊,詐欺保險申請等,各種各樣的種類。信用卡公司和保險公司、零售商店、通訊服務供應商、B2B供應商等,成為詐騙的主要受害者。使用詐騙分析功能,可分析各種形態的存儲資料和收集資訊,辨別違法行為,以防止詐騙和進行必要的法律上的處置。全球詐騙分析市場2014∼2019年,預計以24.04%年複合成長率(CAGR) 成長。

本報告提供全球的詐騙分析市場相關分析、解決方案概要和市場基本結構、市場規模趨勢 (今後5年的預測值)、各解決方案、各引進模式 (雲端/內部部署)、各地區的詳細趨勢、推動、阻礙市場要素與其影響力、主要企業簡介、今後的市場機會等調查評估。

第1章 摘要整理

第2章 簡稱清單

第3章 調查範圍

  • 市場概要
  • 主要的產品

第4章 市場調查手法

  • 市場調查流程
  • 調查手法

第5章 簡介

第6章 市場形勢

  • 市場概要
  • 市場規模與預測
  • 波特的五力分析

第7章 市場區隔:解決方案的各類型

第8章 市場區隔:各引進模式

  • 按全球詐騙分析市場:發展模式的明細 (今後6年份)

第9章 地區區分

  • 全球詐騙分析市場:各地區區分

第10章 主要國家

  • 美國
  • 德國
  • 日本

第11章 購買標準

第12章 市場成長因素

第13章 成長因素與其影響

第14章 市場課題

第15章 成長因素與課題的影響

第16章 市場趨勢

第17章 趨勢與其影響

第18章 業者情勢

  • 競爭模式
  • 代表性供應商分析
  • 其他卓越供應商

第19章 主要供應商分析

  • CSC
    • 主要資料
    • 產業概要
    • 各部門的市場收益額 (最新值)
    • 各部門的市場收益額 (與上年度的比較)
    • 各地區的市場收益額 (最新值)
    • 產業策略
    • 最近的發展趨勢
    • SWOT分析
  • EMC
  • FICO
  • SAP
  • SAS Institute

第20章 相關報告

圖表一覽

目錄
Product Code: IRTNTR6031

About Fraud Analytics

Fraud can be defined as an illegal activity that is intentional and uses misrepresentation to produce a financial gain to an individual or an organization. Fraud is on the rise and has become a boardroom issue these days. Fraud happens in different parts of the world, and fraudsters use very sophisticated and technology-enabled techniques. Fraud can be of various types, such as fraudulent transactions (both online and offline), inaccurate credit applications, identity thefts, and false insurance claims. Some of the major victims of fraud are credit card companies, insurance companies, retail merchants, telecom service providers, and business-to-business suppliers. Fraud analytics helps in analyzing various forms of stored data and gathered information and in converting them to actionable insights, thereby to detect fraud and take necessary actions required.

Technavio's analysts forecast the global fraud analytics market to grow at a CAGR of 24.04% over the period 2014-2019.

Covered in this Report

This report covers the present scenario and the growth prospects of the global fraud analytics market for the period 2015-2019. To calculate the market size, the report considers the revenue generated through the following:

  • Software licenses and subscriptions
  • Software implementation cost
  • Technical support
  • Maintenance cost and professional services

The report covers the segmentation of the market by deployment mode:

  • Cloud fraud analytics solution
  • On-premise fraud analytics solution

The report presents the vendor landscape and a corresponding detailed analysis of the major five vendors in the market.

Key Regions

  • Americas
  • APAC
  • EMEA

Key Vendors

  • Computer Sciences
  • EMC
  • Fair Issac
  • SAP
  • SAS Institute

Other Prominent Vendors

  • ACI Worldwide
  • Aquilan Technologies
  • BAE Systems
  • Bosch Software Innovations
  • CustomerXPs
  • Experian
  • Fiserv
  • IBM
  • Oracle
  • Paladion
  • ValidSoft

Market Driver

  • Need to Detect Fraud
  • For a full, detailed list, view our report

Market Challenge

  • High Implementation Cost
  • For a full, detailed list, view our report

Market Trend

  • High Demand Generation from SMEs
  • For a full, detailed list, view our report

Key Questions Answered in this Report

  • What will the market size be in 2019 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

Table of Contents

01. Executive Summary

02. List of Abbreviations

03. Scope of the Report

  • 03.1. Market Overview
  • 03.2. Product Offerings

04. Market Research Methodology

  • 04.1. Market Research Process
  • 04.2. Research Methodology

05. Introduction

06. Market Landscape

  • 06.1. Market Overview
  • 06.2. Market Size and Forecast
  • 06.3. Five Forces Analysis

07. Segmentation by Solution Type

08. Market Segmentation by Deployment Model

  • 08.1. Global Fraud Analytics Market by Deployment Model 2014-2019

09. Geographical Segmentation

  • 09.1. Segmentation of Global Fraud Analytics Market by Geography 2014

10. Key Leading Countries

  • 10.1. US
  • 10.2. Germany
  • 10.3. Japan

11. Buying Criteria

12. Market Growth Drivers

13. Drivers and their Impact

14. Market Challenges

15. Impact of Drivers and Challenges

16. Market Trends

17. Trends and their Impact

18. Vendor Landscape

  • 18.1. Competitive Scenario
  • 18.2. Leading Vendors Analysis
  • 18.3. Other Prominent Vendors

19. Key Vendor Analysis

  • 19.1. CSC
    • 19.1.1. Key Facts
    • 19.1.2. Business Overview
    • 19.1.3. Business Segmentation by Revenue 2013
    • 19.1.4. Business Segmentation by Revenue 2012 and 2013
    • 19.1.5. Geographical Segmentation by Revenue 2013
    • 19.1.6. Business Strategy
    • 19.1.7. Recent Developments
    • 19.1.8. SWOT Analysis
  • 19.2. EMC
    • 19.2.1. Key Facts
    • 19.2.2. Business Overview
    • 19.2.3. Business Segmentation by Revenue 2013
    • 19.2.4. Business Segmentation by Revenue 2012 and 2013
    • 19.2.5. Geographical Segmentation by Revenue 2013
    • 19.2.6. Business Strategy
    • 19.2.7. Recent Developments
    • 19.2.8. SWOT Analysis
  • 19.3. FICO
    • 19.3.1. Key Facts
    • 19.3.2. Business Overview
    • 19.3.3. Business Segmentation by Revenue 2014
    • 19.3.4. Business Segmentation by Revenue 2013 and 2014
    • 19.3.5. Geographical Segmentation by Revenue 2014
    • 19.3.6. Business Strategy
    • 19.3.7. Recent Developments
    • 19.3.8. SWOT Analysis
  • 19.4. SAP
    • 19.4.1. Key Facts
    • 19.4.2. Business Overview
    • 19.4.3. Business Segmentation
    • 19.4.4. Business Segmentation by Revenue 2013
    • 19.4.5. Business Segmentation by Revenue 2012 and 2013
    • 19.4.6. Geographical Segmentation by Revenue 2013
    • 19.4.7. Business Strategy
    • 19.4.8. Key Developments
    • 19.4.9. SWOT Analysis
  • 19.5. SAS Institute
    • 19.5.1. Key Facts
    • 19.5.2. Business Overview
    • 19.5.3. Revenue Segmentation by Industry 2012
    • 19.5.4. Geographical Segmentation by Revenue 2012
    • 19.5.5. Business Strategy
    • 19.5.6. Recent Developments
    • 19.5.7. SWOT Analysis

20. Other Reports in this Series

List of Exhibits

  • Exhibit 1: Market Research Methodology
  • Exhibit 2: Fraud Detection and Prevention Market Overview
  • Exhibit 3: Market Overview: Fraud Analytics Application
  • Exhibit 4: Global Fraud Analytics Market 2014-2019 ($ billions)
  • Exhibit 5: Fraud Analytics by Solution Type
  • Exhibit 6: Global Fraud Analytics Market by Deployment Model 2014
  • Exhibit 7: Global Fraud Analytics Market by Deployment Model 2014-2019
  • Exhibit 8: Segmentation of Global Fraud Analytics Market by Geography 2014
  • Exhibit 9: Segmentation of Global Fraud Analytics Market by Geography 2014-2019
  • Exhibit 10: Segmentation of Global Fraud Analytics Market by Geography 2014-2019 ($ billions)
  • Exhibit 11: CSC: Business Segmentation by Revenue 2013
  • Exhibit 12: CSC: Business Segmentation by Revenue 2012 and 2013 ($ billions)
  • Exhibit 13: CSC: Geographical Segmentation by Revenue 2013
  • Exhibit 14: EMC: Business Segmentation by Revenue 2013
  • Exhibit 15: EMC: Business Segmentation by Revenue 2012 and 2013 (US$ million)
  • Exhibit 16: EMC: Geographical Segmentation by Revenue 2013
  • Exhibit 17: FICO: Business Segmentation by Revenue 2014
  • Exhibit 18: FICO: Business Segmentation by Revenue 2013 and 2014 ($ millions)
  • Exhibit 19: FICO: Geographical Segmentation by Revenue 2014
  • Exhibit 20: SAP: Business Segmentation
  • Exhibit 21: SAP: Business Segmentation by Revenue 2013
  • Exhibit 22: SAP: Business Segmentation by Revenue 2012 and 2013 ($ millions)
  • Exhibit 23: SAP: Geographical Segmentation by Revenue 2013
  • Exhibit 24: SAS Institute: Revenue Segmentation by Industry 2012
  • Exhibit 25: SAS Institute: Geographical Segmentation by Revenue 2012
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