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市場調査レポート

不正検知・防止の世界市場 2022年までの予測:ソリューション・サービス・利用領域 (保険請求、マネーロンダリング、電子決済、モバイルペイメント)・企業規模・産業・地域別

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

発行 MarketsandMarkets 商品コード 293340
出版日 ページ情報 英文 167 Pages
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不正検知・防止の世界市場 2022年までの予測:ソリューション・サービス・利用領域 (保険請求、マネーロンダリング、電子決済、モバイルペイメント)・企業規模・産業・地域別 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: 2017年09月08日 ページ情報: 英文 167 Pages
概要

世界の不正検知・防止 (FDP) 市場は、2017年には166億2000万米ドル、2022年には415億9000万米ドルと、20.1%のCAGR (複合年間成長率) で成長する見通しです。各種業界での詐欺活動の増加や、モバイル/Webアプリケーション経由での取引件数の増加が、市場成長の主な要因となっています。ソリューション別では、認証アプリケーションが最大の市場規模を占めています。また地域別では、アジア太平洋地域諸国での大幅な市場拡大が期待されています。

当レポートでは、世界の不正行為の検知・防止市場について分析し、市場の基本的構造や最新情勢、主な市場促進・阻害要因、市場動向と今後の見通し (過去2年間・今後6年間分)、ソリューション/サービス別・用途別・展開方式別・企業規模別・業種別・地域別の詳細動向、市場競争の状態、今後の市場発展の方向性、主要企業のプロファイルなどを調査しております。

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要と産業動向

  • 市場概要
    • 市場のダイナミクス
    • 促進要因
      • 各種産業での詐欺活動の活発化
      • 企業の評判低下・収益減少の件数増加
      • モバイル/Webアプリケーション経由でのオンライン取引の増加
    • 抑制要因
      • インテグレーション能力の欠如
    • 市場機会
      • 新興国市場
      • 不正検知のための人工知能 (AI)・機械学習の導入
    • 課題
      • 中小企業における、不正の可能性に関する認知度の低さ
      • 詐欺活動の早期探知
      • FDPソリューションの導入コストの高さ
  • 産業動向
    • 使用事例 (1):THREATMETRIX - KABBAGE
    • 使用事例 (2):LEXISNEXIS - SAFE FEDERAL CREDIT UNION (SAFE FCU)
    • 使用事例 (3):BAE SYSTEMS - INSURANCE FRAUD BUREAU (IFB)
    • 使用事例 (4):ACI WORLDWIDE - CANADIAN BANKS
    • 使用事例 (5):EXPERIAN - ORANGE (TELECOM COMPANY)
    • 使用事例 (6):KOUNT - BODYBUILDING.COM

第6章 不正検知・防止市場の分析:ソリューション別

  • イントロダクション
  • 不正分析
    • 予測分析
    • 顧客分析
    • ソーシャルメディア解析
    • ビッグデータ解析
    • 行動解析
  • 認証
    • 単要素認証
    • 多要素認証
  • ガバナンス・リスク・コンプライアンス用ソリューション
  • その他

第7章 不正検知・防止市場の分析:サービス別

  • イントロダクション
  • 専門サービス
    • コンサルティング
    • 訓練・教育
    • サポート・整備
  • マネージドサービス

第8章 不正検知・防止市場の分析:利用領域別

  • イントロダクション
  • 保険請求
  • マネーロンダリング
  • 電子決済
  • モバイルペイメント
  • その他

第9章 不正検知・防止市場の分析:展開方式別

  • イントロダクション
  • クラウド
  • オンプレミス

第10章 不正検知・防止市場の分析:企業規模別

  • イントロダクション
  • 中小企業
  • 大企業

第11章 不正検知・防止市場の分析:産業別

  • イントロダクション
  • 銀行・金融サービス・保険 (BFSI)
  • 小売業
  • 通信
  • 政府/公的機関
  • 医療機関
  • 不動産
  • エネルギー・電力
  • 製造業
  • その他

第12章 地域分析

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 中東・アフリカ
  • ラテンアメリカ

第13章 競争環境

  • 企業戦略の方向性:4通りの分類法
    • 先駆的企業
    • 革新的企業
    • 活動的企業
    • 新規企業
  • 企業間の相互比較 (大手企業の場合)
    • 製品ポートフォリオの拡充度
    • 事業戦略の秀逸性

第14章 企業プロファイル

  • 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
  • 主な技術開発企業
    • FRISS
    • FEATURESPACE LIMITED
    • WEBROOT INC.
    • SEKUR ME
    • EASY SOLUTIONS, INC.

第15章 付録

目次
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 OPPORTUNITIES IN FRAUD DETECTION AND PREVENTION MARKET
  • 4.2. GLOBAL FRAUD DETECTION AND PREVENTION MARKET, BY REGION
  • 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. Increased loss of reputation and revenue for organizations
      • 5.1.2.3. Rising online transactions through 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 awareness about fraud possibilities among SMEs
      • 5.1.5.2. Early detection of fraudulent activities
      • 5.1.5.3. High deployment cost 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 (SFA)
    • 6.3.2. MULTI-FACTOR AUTHENTICATION (MFA)
  • 6.4. GOVERNANCE, RISK, AND COMPLIANCE SOLUTIONS (GRC)
  • 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 (SMES)
  • 10.3. LARGE ENTERPRISES

11. FRAUD DETECTION AND PREVENTION MARKET ANALYSIS, BY VERTICAL

  • 11.1. INTRODUCTION
  • 11.2. BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)
  • 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 (APAC)
  • 12.5. MIDDLE EAST AND AFRICA (MEA)
  • 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 OF MAJOR PLAYERS IN FRAUD DETECTION AND PREVENTION MARKET
    • 13.2.2. BUSINESS STRATEGY EXCELLENCE OF MAJOR PLAYERS IN 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 DEPLOYMENT MODE: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 34: ON-PREMISES DEPLOYMENT MODE: 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: SMES: 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: BFSI VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 40: RETAIL VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 41: TELECOMMUNICATION VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 42: GOVERNMENT/PUBLIC SECTOR VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 43: HEALTHCARE VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 44: REAL ESTATE VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 45: ENERGY AND POWER VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 46: MANUFACTURING VERTICAL: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • TABLE 47: OTHERS VERTICAL: 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: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 62: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 63: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 64: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 65: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 66: APAC: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY VERTICAL, 2015-2022 (USD MILLION)
  • TABLE 67: MEA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SOLUTION, 2015-2022 (USD MILLION)
  • TABLE 68: MEA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY SERVICE, 2015-2022 (USD MILLION)
  • TABLE 69: MEA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY APPLICATION AREA, 2015-2022 (USD MILLION)
  • TABLE 70: MEA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
  • TABLE 71: MEA: FRAUD DETECTION AND PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2015-2022 (USD MILLION)
  • TABLE 72: MEA: 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: COMPANY RANKING, 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, BY COMPONENT, 2017-2022 (USD MILLION)
  • FIGURE 9: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION (2017-2022)
  • FIGURE 10: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE (2017-2022)
  • FIGURE 11: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE (2017-2022)
  • FIGURE 12: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL (2017-2022)
  • FIGURE 13: RISING FRAUDULENT ACTIVITIES AND INCREASED LOSS OF REPUTATION AND REVENUE AMONG ORGANIZATIONS TO DRIVE MARKET GROWTH
  • FIGURE 14: NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2017
  • FIGURE 15: BFSI AND NORTH AMERICA TO HOLD LARGEST MARKET SHARES IN 2017
  • FIGURE 16: APAC MARKET OFFERS IMMENSE GROWTH OPPORTUNITIES
  • FIGURE 17: FRAUD DETECTION AND PREVENTION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 18: PERCENTAGE OF ORGANIZATIONS EXPERIENCING ACTUAL PAYMENT FRAUDS, 2005-2015
  • FIGURE 19: 133,000 FRAUDULENT TRANSACTIONS REPORTED IN 2015
  • FIGURE 20: AUTHENTICATION SOLUTIONS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 21: MANAGED SERVICES TO RECORD HIGHER GROWTH DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 22: MOBILE PAYMENT SEGMENT TO RECORD HIGHEST GROWTH DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 23: CLOUD DEPLOYMENT MODE TO RECORD HIGHER GROWTH DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 24: SMES SEGMENT TO RECORD HIGHER GROWTH DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 25: BFSI VERTICAL TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 26: NORTH AMERICA TO BE THE WORLD'S LARGEST MARKET DURING FORECAST PERIOD (USD MILLION)
  • FIGURE 27: NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET SNAPSHOT
  • FIGURE 28: APAC: FRAUD PREVENTION AND DETECTION MARKET SNAPSHOT
  • FIGURE 29: GLOBAL FRAUD DETECTION AND PREVENTION MARKET: COMPETITIVE LEADERSHIP MAPPING, 2017
  • FIGURE 30: ORACLE CORPORATION: COMPANY SNAPSHOT
  • FIGURE 31: FAIR ISAAC CORPORATION: COMPANY SNAPSHOT
  • FIGURE 32: SAS INSTITUTE: COMPANY SNAPSHOT
  • FIGURE 33: INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
  • FIGURE 34: BAE SYSTEMS: COMPANY SNAPSHOT
  • FIGURE 35: DXC TECHNOLOGY: COMPANY SNAPSHOT
  • FIGURE 36: SAP SE: COMPANY SNAPSHOT
  • FIGURE 37: ACI WORLDWIDE, INC.: COMPANY SNAPSHOT
  • FIGURE 38: FISERV, INC.: COMPANY SNAPSHOT
  • FIGURE 39: NICE SYSTEMS LTD.: COMPANY SNAPSHOT
  • FIGURE 40: EXPERIAN INFORMATION SOLUTIONS, INC.: COMPANY SNAPSHOT
  • FIGURE 41: LEXISNEXIS: COMPANY SNAPSHOT
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