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市場調查報告書

詐欺偵測、防止的全球市場 至2022年的預測:各解決方案、服務、利用領域 (保險申請、洗錢、電子付款、行動付款)、企業規模、產業、地區

Fraud Detection and Prevention Market by Solution (Fraud Analytics and Authentication), Service, Application Area (Insurance Claim, Money Laundering, Electronic Payment, and Mobile Payment), Organization Size, Vertical, Region - Global Forecast to 2022

出版商 MarketsandMarkets 商品編碼 293340
出版日期 內容資訊 英文 169 Pages
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詐欺偵測、防止的全球市場 至2022年的預測:各解決方案、服務、利用領域 (保險申請、洗錢、電子付款、行動付款)、企業規模、產業、地區 Fraud Detection and Prevention Market by Solution (Fraud Analytics and Authentication), Service, Application Area (Insurance Claim, Money Laundering, Electronic Payment, and Mobile Payment), Organization Size, Vertical, Region - Global Forecast to 2022
出版日期: 2017年09月08日 內容資訊: 英文 169 Pages
簡介

全球詐欺偵測、防止 (FDP) 市場,預計2017年達166億2000萬美元,2022年達415億9000萬美元,以20.1%的年複合成長率 (CAGR) 成長。在各種產業的詐騙活動增加,及經由行動/Web應用的交易量的增加,成為市場成長的主要原因。各解決方案中,認證應用佔最大的市場規模。還有各地區中,在亞太地區各國預期市場將大幅度擴大。

本報告提供全球違法行為的偵測、防止市場相關分析,市場基本結構和最新形勢,主要市場促進、阻礙因素,市場趨勢與今後的預測 (過去2年、今後6年份),各解決方案/各類服務、各用途、發展方式、各企業規模、各行業、各地區的詳細趨勢,市場競爭的狀態,今後的市場發展的方向性,主要企業簡介等調查。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

第5章 市場概要與產業趨勢

  • 市場概要
    • 市場動態
    • 推動因素
      • 各種產業的詐騙活動的活躍
      • 企業的評價降低、收益減少的數量增加
      • 在行動/Web應用經由的線上交易的增加
    • 阻礙因素
      • 整合能力的缺乏
    • 市場機會
      • 新興國家市場
      • 詐欺偵測的人工智能 (AI)、機器學習的引進
    • 課題
      • 中小企業的,詐欺的可能性相關認知度低
      • 詐騙活動的早期探測
      • FDP解決方案的引進成本高
  • 產業趨勢
    • 使用案例 (1):THREATMETRIX - KABBAGE
    • 使用案例 (2):LEXISNEXIS - SAFE FEDERAL CREDIT UNION (SAFE FCU)
    • 使用案例 (3):BAE SYSTEMS - INSURANCE FRAUD BUREAU (IFB)
    • 使用案例 (4):ACI WORLDWIDE - CANADIAN BANKS
    • 使用案例 (5):EXPERIAN - ORANGE (TELECOM COMPANY)
    • 使用案例 (6):KOUNT - BODYBUILDING.COM

第6章 詐欺偵測、防止市場分析:各解決方案

  • 簡介
  • 詐欺分析
    • 預測分析
    • 客戶分析
    • 社群媒體分析
    • 巨量資料分析
    • 行動分析
  • 認證
    • 單要素認證
    • 多要素認證
  • 治理、風險、合規性用解決方案
  • 其他

第7章 詐欺偵測、防止市場分析:各服務

  • 簡介
  • 專門服務
    • 諮詢
    • 訓練、教育
    • 支援、整備
  • 管理服務

第8章 詐欺偵測、防止市場分析:各利用領域

  • 簡介
  • 保險申請
  • 洗錢
  • 電子付款
  • 行動付款
  • 其他

第9章 詐欺偵測、防止市場分析:各發展方式

  • 簡介
  • 雲端
  • 內部部署

第10章 詐欺偵測、防止市場分析:各企業規模

  • 簡介
  • 中小企業
  • 大企業

第11章 詐欺偵測、防止市場分析:各產業

  • 簡介
  • 銀行、金融服務、保險 (BFSI)
  • 零售業
  • 通訊
  • 政府/公共機關
  • 醫療機關
  • 不動產
  • 能源、電力
  • 製造業
  • 其他

第12章 地區分析

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 中東、非洲
  • 南美

第13章 競爭環境

  • 企業策略方向性:四種分類法
    • 企業先驅
    • 創新的企業
    • 活動的企業
    • 新企業
  • 企業間的互相比較 (大企業的情況)
    • 產品系列的擴充度
    • 產業策略的優秀性

第14章 企業簡介

  • ORACLE CORPORATION
  • FAIR ISAAC CORPORATION
  • SAS INSTITUTE
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • BAE SYSTEMS
  • DXC TECHNOLOGY (CSC)
  • SAP SE
  • ACI WORLDWIDE, INC.
  • FISERV, INC.
  • THREATMETRIX, INC.
  • NICE SYSTEMS LTD.
  • EXPERIAN INFORMATION SOLUTIONS, INC.
  • LEXISNEXIS
  • 主要的技術開發企業
    • FRISS
    • FEATURESPACE LIMITED
    • WEBROOT INC.
    • SEKUR ME
    • EASY SOLUTIONS, INC.

第15章 附錄

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目錄
Product Code: TC 2879

"The increasing fraudulent activities in various industries and the increase in reputation loss and revenue loss for organizations is expected to drive the Fraud Detection and Prevention (FDP) market"

The FDP market size is expected to grow from USD 16.62 billion in 2017 to USD 41.59 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 20.1%. The FDP market is driven by factors, such as the increasing fraudulent activities in various industries, the increasing reputation loss and revenue loss for organizations, and the increasing online transactions over mobile and web applications. However, the lack of integration capabilities is still a concern for the organizations. Furthermore, the low levels of awareness of fraud possibilities in Small and Medium-sized Enterprises (SMEs) is the biggest challenge for organizations.

The solution segment is expected to grow at the highest CAGR during the forecast period

The solution segment is expected to have the largest market size in 2017. The solutions are classified includes predictive analytics, customer analytics, social media analytics, big data analytics, and behavioral analytics. These solutions help minimize the fraudulent activates associated with online payments, insurance claims, and in identifying thefts by spotting the frauds before they occur, and keeping the organization safe from data breaches and frauds. The authentication solution is expected to have the largest market size. This solution is deployed to prevent and protect an organization from data breaches and online frauds.

Mobile payment application area is expected to grow at highest CAGR during the forecast period

The increasing use of mobile devices has increased the mobile threat landscape as well. Individuals are moving toward mobile banking. Thus, organizations are deploying FDP solutions to stay secured from various frauds. The mobile payment application area is expected to grow at the highest CAGR during the forecast period. However, the electronic payment application area is expected to have largest market size in 2017.

Large enterprises segment is expected to have largest market size in 2017

With the increasing organization size and business complexities, the large enterprises have started investing in FDP solutions to combat against fraudulent activities and maintain security of their financial firms, banking sectors, insurance sectors, and eCommerce. The large enterprises segment is expected to have the largest market size in 2017. Moreover, the Small and Medium-sized Enterprises (SMEs) segment is expected to grow at the highest CAGR during the forecast period.

Asia Pacific (APAC) is expected to have the highest growth rate during the forecast period

APAC includes emerging economies, such as India and China, which are rapidly deploying FDP solutions. This is mainly due to growth in fraudulent activities in organizations, and banking and financial institutes with the growing volume of online payment transactions. APAC is expected to grow at the highest CAGR during the forecast period. Furthermore, North America is expected to have the largest market size in 2017.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the FDP market place.

  • By Company Type: Tier 1: 27%, Tier 2: 48%, and Tier 3: 25%
  • By Designation: C-Level: 30%, Director Level: 25%, and Others: 45%
  • By Region: North America: 57%, Europe: 16%, APAC: 15%, and RoW: 12%

The report includes the study of key players offering FDP solutions, such as IBM (US), FICO (US), Oracle (US), SAS Institute (US), BAE Systems (UK), DXC Technology (US), SAP (Germany), ACI Worldwide (US), Fiserv (US), ThreatMetrix (US), NICE Systems (Israel), Experian (US), and LexisNexis (US). The report includes in-depth competitive analysis of these key players in the FDP market, with their company profiles, recent developments, and key market strategies.

Research Coverage:

The report covers the FDP solutions and services across different segments. It aims at estimating the market size and the future growth potential of this market, across different segments, such as solutions, services, application areas, deployment modes, organization sizes, verticals, and regions. Furthermore, the report also includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report:

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall FDP market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
  • 1.4. YEARS CONSIDERED FOR THE STUDY
  • 1.5. CURRENCY
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Breakdown of primary interviews
      • 2.1.2.1. Key industry insights
  • 2.2. MARKET SIZE ESTIMATION
  • 2.3. RESEARCH ASSUMPTIONS AND LIMITATIONS
    • 2.3.1. LIMITATIONS
  • 2.4. MICROQUADRANT RESEARCH METHODOLOGY
    • 2.4.1. VENDOR INCLUSION CRITERIA

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE FRAUD DETECTION AND PREVENTION MARKET
  • 4.2. FRAUD DETECTION AND PREVENTION MARKET: MARKET SHARE ACROSS VARIOUS REGIONS
  • 4.3. FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL AND REGION
  • 4.4. LIFECYCLE ANALYSIS, BY REGION

5. MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1. MARKET OVERVIEW
    • 5.1.1. MARKET DYNAMICS
    • 5.1.2. DRIVERS
      • 5.1.2.1. Increasing fraudulent activities in various industries
      • 5.1.2.2. Increase in reputation loss and revenue loss for organizations
      • 5.1.2.3. Increasing online transactions over mobile and web applications
    • 5.1.3. RESTRAINTS
      • 5.1.3.1. Lack of integration capabilities
    • 5.1.4. OPPORTUNITIES
      • 5.1.4.1. Emerging economies
      • 5.1.4.2. Introduction of AI and machine learning technologies for detecting frauds
    • 5.1.5. CHALLENGES
      • 5.1.5.1. Low levels of awareness about the fraud possibilities in SMEs
      • 5.1.5.2. Early detection of fraudulent activities
      • 5.1.5.3. High cost in deployment of FDP solutions
  • 5.2. INDUSTRY TRENDS
    • 5.2.1. USE CASE #1: THREATMETRIX: KABBAGE
    • 5.2.2. USE CASE #2: LEXISNEXIS: SAFE FEDERAL CREDIT UNION (SAFE FCU)
    • 5.2.3. USE CASE #3: BAE SYSTEMS: INSURANCE FRAUD BUREAU (IFB)
    • 5.2.4. USE CASE #4: ACI WORLDWIDE: CANADIAN BANKS
    • 5.2.5. USE CASE #5: EXPERIAN: ORANGE (TELECOM COMPANY)
    • 5.2.6. USE CASE #6: KOUNT: BODYBUILDING.COM

6. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY SOLUTION

  • 6.1. INTRODUCTION
  • 6.2. FRAUD ANALYTICS
    • 6.2.1. PREDICTIVE ANALYTICS
    • 6.2.2. CUSTOMER ANALYTICS
    • 6.2.3. SOCIAL MEDIA ANALYTICS
    • 6.2.4. BIG DATA ANALYTICS
    • 6.2.5. BEHAVIORAL ANALYTICS
  • 6.3. AUTHENTICATION
    • 6.3.1. SINGLE-FACTOR AUTHENTICATION
    • 6.3.2. MULTI-FACTOR AUTHENTICATION
  • 6.4. GOVERNANCE, RISK, AND COMPLIANCE SOLUTIONS
  • 6.5. OTHERS

7. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY SERVICE

  • 7.1. INTRODUCTION
  • 7.2. PROFESSIONAL SERVICES
    • 7.2.1. CONSULTING
    • 7.2.2. TRAINING AND EDUCATION
    • 7.2.3. SUPPORT AND MAINTENANCE
  • 7.3. MANAGED SERVICES

8. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY APPLICATION AREA

  • 8.1. INTRODUCTION
  • 8.2. INSURANCE CLAIM
  • 8.3. MONEY LAUNDERING
  • 8.4. ELECTRONIC PAYMENT
  • 8.5. MOBILE PAYMENT
  • 8.6. OTHERS

9. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY DEPLOYMENT MODE

  • 9.1. INTRODUCTION
  • 9.2. CLOUD
  • 9.3. ON-PREMISES

10. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY ORGANIZATION SIZE

  • 10.1. INTRODUCTION
  • 10.2. SMALL AND MEDIUM-SIZED ENTERPRISES
  • 10.3. LARGE ENTERPRISES

11. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY VERTICAL

  • 11.1. INTRODUCTION
  • 11.2. BANKING, FINANCIAL SERVICES, AND INSURANCE
  • 11.3. RETAIL
  • 11.4. TELECOMMUNICATION
  • 11.5. GOVERNMENT/PUBLIC SECTOR
  • 11.6. HEALTHCARE
  • 11.7. REAL ESTATE
  • 11.8. ENERGY AND POWER
  • 11.9. MANUFACTURING
  • 11.10. OTHERS

12. GEOGRAPHIC ANALYSIS

  • 12.1. INTRODUCTION
  • 12.2. NORTH AMERICA
  • 12.3. EUROPE
  • 12.4. ASIA PACIFIC
  • 12.5. MIDDLE EAST AND AFRICA
  • 12.6. LATIN AMERICA

13. COMPETITIVE LANDSCAPE

  • 13.1. MICROQUADRANT OVERVIEW
    • 13.1.1. VISIONARY LEADERS
    • 13.1.2. INNOVATORS
    • 13.1.3. DYNAMIC DIFFERENTIATORS
    • 13.1.4. EMERGING COMPANIES
  • 13.2. COMPETITIVE BENCHMARKING
    • 13.2.1. STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR PLAYERS IN THE FRAUD DETECTION AND PREVENTION MARKET
    • 13.2.2. BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR PLAYERS IN THE FRAUD DETECTION AND PREVENTION MARKET

14. COMPANY PROFILES (Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments)*

  • 14.1. ORACLE CORPORATION
  • 14.2. FAIR ISAAC CORPORATION
  • 14.3. SAS INSTITUTE
  • 14.4. INTERNATIONAL BUSINESS MACHINES CORPORATION
  • 14.5. BAE SYSTEMS
  • 14.6. DXC TECHNOLOGY (CSC)
  • 14.7. SAP SE
  • 14.8. ACI WORLDWIDE, INC.
  • 14.9. FISERV, INC.
  • 14.10. THREATMETRIX, INC.
  • 14.11. NICE SYSTEMS LTD.
  • 14.12. EXPERIAN INFORMATION SOLUTIONS, INC.
  • 14.13. LEXISNEXIS
  • 14.14. KEY INNOVATORS
    • 14.14.1. FRISS
    • 14.14.2. FEATURESPACE LIMITED
    • 14.14.3. WEBROOT INC.
    • 14.14.4. SEKUR ME
    • 14.14.5. EASY SOLUTIONS, INC.

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, and Recent Developments might not be captured in case of unlisted companies.

15. APPENDIX

  • 15.1. DISCUSSION GUIDE
  • 15.2. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 15.4. AVAILABLE CUSTOMIZATIONS
  • 15.5. RELATED REPORTS
  • 15.6. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: EVALUATION CRITERIA
  • TABLE 2: FRAUD DETECTION AND PREVENTION MARKET SIZE AND GROWTH RATE, 2015-2022 (USD MILLION, Y-O-Y %)
  • TABLE 3: SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 4: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 5: FRAUD ANALYTICS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 6: FRAUD ANALYTICS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
  • TABLE 7: PREDICTIVE ANALYTICS MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 8: CUSTOMER ANALYTICS MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 9: SOCIAL MEDIA ANALYTICS MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 10: BIG DATA ANALYTICS MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 11: BEHAVIORAL ANALYTICS MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 12: AUTHENTICATION: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 13: AUTHENTICATION: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
  • TABLE 14: SINGLE-FACTOR AUTHENTICATION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 15: MULTI-FACTOR AUTHENTICATION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 16: GOVERNANCE, RISK, AND COMPLIANCE SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 17: OTHERS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 18: SERVICES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 19: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 20: PROFESSIONAL SERVICES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 21: PROFESSIONAL SERVICES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
  • TABLE 22: CONSULTING MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 23: TRAINING AND EDUCATION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 24: SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 25: MANAGED SERVICES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 26: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 27: INSURANCE CLAIM: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 28: MONEY LAUNDERING: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 29: ELECTRONIC PAYMENT: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 30: MOBILE PAYMENT: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 31: OTHERS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 32: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 33: CLOUD: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 34: ON-PREMISES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 35: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 36: SMALL AND MEDIUM-SIZED ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 37: LARGE ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 38: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 39: BANKING, FINANCIAL SERVICES, AND INSURANCE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 40: RETAIL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 41: TELECOMMUNICATION: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 42: GOVERNMENT/PUBLIC SECTOR: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 43: HEALTHCARE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 44: REAL ESTATE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 45: ENERGY AND POWER: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 46: MANUFACTURING: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 47: OTHERS: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 48: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 49: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 50: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 51: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 52: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 53: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 54: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 55: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 56: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 57: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 58: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 59: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 60: EUROPE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 61: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 62: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 63: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 64: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 65: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 66: ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 67: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 68: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 69: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 70: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 71: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 72: MIDDLE EAST AND AFRICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 73: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 74: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 75: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 76: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 77: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 78: LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 79: FRAUD DETECTION AND PREVENTION MARKET: RANKING ANALYSIS, 2017

LIST OF FIGURES

  • FIGURE 1: GLOBAL FRAUD DETECTION AND PREVENTION MARKET: MARKET SEGMENTATION
  • FIGURE 2: GLOBAL FRAUD DETECTION AND PREVENTION MARKET: RESEARCH DESIGN
  • FIGURE 3: BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
  • FIGURE 4: DATA TRIANGULATION
  • FIGURE 5: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 7: FRAUD DETECTION AND PREVENTION MARKET: ASSUMPTIONS
  • FIGURE 8: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT ON THE BASIS OF COMPONENTS (2017-2022)
  • FIGURE 9: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT ON THE BASIS OF SOLUTIONS (2017-2022)
  • FIGURE 10: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT ON THE BASIS OF DEPLOYMENT MODES (2017-2022)
  • FIGURE 11: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT ON THE BASIS OF ORGANIZATION SIZE (2017-2022)
  • FIGURE 12: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT ON THE BASIS OF VERTICALS (2017-2022)
  • FIGURE 13: INCREASING FRAUDULENT ACTIVITIES AMONG VARIOUS INDUSTRIES, AND INCREASE IN REPUTATION LOSS AND REVENUE LOSS FOR ORGANIZATIONS ARE EXPECTED TO BOOST THE FRAUD DETECTION AND PREVENTION MARKET
  • FIGURE 14: NORTH AMERICA IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE IN 2017
  • FIGURE 15: BANKING, FINANCIAL SERVICES, AND INSURANCE, AND NORTH AMERICA ARE EXPECTED TO HOLD THE LARGEST SHARE OF THE FRAUD DETECTION AND PREVENTION MARKET
  • FIGURE 16: THE FRAUD DETECTION AND PREVENTION MARKET HAS IMMENSE OPPORTUNITIES FOR GROWTH IN THE ASIA PACIFIC REGION
  • FIGURE 17: FRAUD DETECTION AND PREVENTION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 18: AUTHENTICATION SEGMENT IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 19: MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: MOBILE PAYMENT SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: CLOUD DEPLOYMENT MODE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 22: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 24: NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 25: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 26: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 27: FRAUD DETECTION AND PREVENTION MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2017
  • FIGURE 28: ORACLE CORPORATION: COMPANY SNAPSHOT
  • FIGURE 29: FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
  • FIGURE 30: SAS INSTITUTE: COMPANY SNAPSHOT
  • FIGURE 31: INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
  • FIGURE 32: BAE SYSTEMS: COMPANY SNAPSHOT
  • FIGURE 33: DXC TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 34: SAP SE: COMPANY SNAPSHOT
  • FIGURE 35: ACI WORLDWIDE, INC.: COMPANY SNAPSHOT
  • FIGURE 36: FISERV, INC.: COMPANY SNAPSHOT
  • FIGURE 37: NICE SYSTEMS LTD.: COMPANY SNAPSHOT
  • FIGURE 38: EXPERIAN INFORMATION SOLUTIONS, INC.: COMPANY SNAPSHOT
  • FIGURE 39: LEXISNEXIS: COMPANY SNAPSHOT
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