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온라인 결제 사기 : 새로운 위협, 세그먼트 분석, 시장전망 2018-2023
Online Payment Fraud: Emerging Threats, Segment Analysis & Market Forecasts 2018-2023
◇발행처: JUN    ◇발행일: 2018년 11월   ◇가격: £4,090[PDF]    ◇페이지수: 쪽   
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Deep Dive Strategy & Competition
1. Online Payment Fraud: Market Overview
    1.1. Introduction
    1.2. Types of Fraud
    1.3. Online Payments Landscape Overview
        1.3.1. Physical & Digital Goods
            Figure 1.1: Remote Physical & Digital Goods Purchases per Annum (m) 2018-2023
        1.3.2. eCommerce Value
            Figure 1.2: Total eCommerce Market Value ($m), Split by Segment 2018-2023
        1.3.3. The Rise of Alternative Payments
            Figure 1.3: Global Physical Goods eRetail Transactions 2017, By Payment Mechanism (57.8 billion)
            Figure 1.4: iDEAL Transactions Per Annum (m), 2012-2017
    1.4. Development of Fraudulent Activity
        Figure 1.5: eCommerce & Fraud Attempt Growth (%), November-December 2014-2017
        Figure 1.6: Merchant EMV Card Acceptance, US, 2015-2018
    1.5. Key Trends in Digital Fraud
        1.5.1. Darknet Activity
            i. From Darknet to Clearnet
                Table 1.7: Average Dark Market List Price ($), Various Tools, Products & Guides used by Fraudsters 2018
        1.5.2. Identity Theft
            i. Data Breaches
                Figure 1.8: Total Number of Data Records per Annum Exposed through Cybercrime (m), Split by 8 Key Regions 2018-2023
                Table 1.9: Selected Major Data Breaches Reported January-June 2018
                Table 1.10: FTC Reported Identity Theft Cases 2017 vs 2016
            ii. Cybercriminal Targeting Shifts
            iii. Key Takeaways
2. Online Payment Fraud Market Dynamics
    2.1. Introduction
    2.2. PSD2(Revised Payment Services Directive)
        2.2.1. RTS Status
        2.2.2. RTS Implications for Payment Service Providers
            i. Fraud Detection
            ii. Exemptions from SCA
                Table 2.1: CNP Fraud Rate Thresholds for SCA Exemption
            iii. API Authentication Security
            iv. Avoiding Logic Abuse
    2.3. Real-time Payments
        Table 2.2: Global Instant Payments Market Status
        Table 2.3: Global Instant Payments Market Status (Continued)
        2.3.1. Real-time Payments Impact on Fraud
            i. Problems Inherent in Infrastructure
            ii. Further Protections Required
    2.4. 3DS 2.0 (3-D Secure 2.0)
        2.4.1. Authentication Mechanisms
            i. OTP (One-Time Passwords)
            ii. KBA (Knowledge-Based Authentication)
            iii. Biometric
        2.4.2. Further 3DS Implications
        2.4.3. Next Steps & Regional Outlook
            i. North America
            ii. Latin America
            iii. West Europe
            iv. Central & East Europe
            v. Far East & China
            vi. Indian Subcontinent
            vii. Rest of Asia Pacific
            viii. Africa & Middle East
3. Online Payment Fraud - Segment Analysis
    3.1. Banking & Money Transfer
        Figure 3.1: Major Losses from Banking Malware
        3.1.1. Key Challenge: Advanced Persistent Threats
            Table 3.2: Carbanak Attack Execution Phases
        3.1.2. Key Challenge: Digital Transformation
        3.1.3. Key Trends & Outlook in the Financial Sector
    3.2. Remote Goods Purchases
        3.2.1. Key Challenge: Synthetic Identity
            i. Detection
        3.2.2. Key Challenge: Malicious JavaScript
        3.2.3. Key Trends & Future Outlook in eRetail
            i. Modelling the Impact of Manual Reviews & False Positives
                Table 3.3: Fraud Mitigation ROI Analysis
                Table 3.4: Fraud Mitigation ROI Analysis (Continued)
                Figure 3.5: Cost & Lost Revenue ($m), Split by FDP Spend as a Proportion (%) of Revenue
            ii. Machine Learning
    3.3. Airlines
        Figure 3.4: Impact of Crude Oil Price ($) on Aviation Operating Costs (%) 2004-2018
        3.3.1. Key Challenge: Security
        3.3.2. Key Challenge: Chargebacks
        3.3.3. Key Trends & Future Outlook in the Airline Sector
4. Online Fraud Detection Service Provider Analysis
    4.1. Introduction
    4.2. Juniper Leaderboard
        Table 4.1: FDP Vendor Capability Assessment Criteria
    4.3. Leaderboard Scoring Results
        Table 4.2: Juniper Leaderboard: FDP Vendors
        Figure 4.3: Juniper Leaderboard: FDP Vendors
        4.3.1. Stakeholder Groupings
            i. Established Leaders
            ii. Leading Challengers
            iii. Disruptors & Emulators
        4.3.2. Limitations & Interpretations
    4.4. Online Payment Fraud Movers & Shakers
    4.5. Company Profiles
        4.5.1. Accertify
            i. Corporate Profile
                Table 4.4: American Express Financial Snapshot 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: Accertify Key Strengths & Strategic Development
        4.5.2. ACI Worldwide
            i. Corporate Profile
                Table 4.5: ACI Worldwide Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Partnerships
            iv. High-level View of Products
            v. Juniper's View: ACI Key Strengths & Strategic Development Opportunities
        4.5.3. CyberSource, a Visa Solution
            i. Corporate Profile
                Table 4.6: Visa Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: CyberSource Key Strengths & Strategic Development Opportunities
        4.5.4. Experian
            i. Corporate Profile
                Table 4.7: Experian Financial Snapshot ($m) FY 2016-2018
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: Experian Key Strengths & Strategic Development Opportunities
        4.5.5. FICO
            i. Corporate
                Table 4.8: FICO Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: FICO Key Strengths & Strategic Development Opportunities
        4.5.6. Fiserv
            i. Corporate Profile
                Table 4.9: Fiserv Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: Fiserv Key Strengths & Strategic Development Opportunities
        4.5.7. iovation
            i. Corporate Profile
                Table 4.10: TransUnion Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: iovation Key Strengths & Strategic Development Opportunities
        4.5.8. NICE Actemize
            i. Corporate Profile
                Table 4.11: NICE Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: NICE Actemize Key Strengths & Strategic Development Opportunities
        4.5.9. NuData Security (Mastercard)
            i. Corporate Profile
                Table 4.12: Mastercard Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: NuData Key Strengths & Strategic Development Opportunities
        4.5.10. RSA Security
            i. Corporate Profile
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: RSA Key Strengths & Strategic Development Opportunities
        4.5.11. SAS
            i. Corporate
                Table 4.13: SAS Financial Snapshot ($m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: SAS Key Strengths & Strategic Development Opportunities
        4.5.12. ThreatMetrix
            i. Corporate Profile
                Table 4.14: RELX Group Financial Snapshot (£m/$m) 2015-2017
            ii. Geographic Spread
            iii. Key Clients & Strategic Partnerships
            iv. High-level View of Products
            v. Juniper's View: ThreatMetrix Key Strengths & Strategic Development Opportunities
Deep Dive Data & Forecasting
1. Online Payment Fraud: Market Overview
    1.1. Introduction
    1.2. Types of Fraud
    1.3. Online Payments Landscape Overview
        1.3.1. Physical & Digital Goods
            Figure 1.1: Remote Physical & Digital Goods Purchases per Annum (m) 2018-2023
        1.3.2. eCommerce Value
            Figure 1.2: Total eCommerce Market Value ($m), Split by Segment 2018-2023
        1.3.3. The Rise of Alternative Payments
            Figure 1.11: Global Physical Goods eRetail Transactions 2017, By Payment Mechanism (57.8 billion)
            Figure 1.12: iDEAL Transactions Per Annum (m), 2012-2017
    1.4. Development of Fraudulent Activity
        Figure 1.3: eCommerce & Fraud Attempt Growth (%), November-December 2014-2017
        Figure 1.4: Merchant EMV Card Acceptance, US, 2015-2018
2. Online Payment Fraud Market Summary
    2.1. Introduction
    2.2. Methodology & Assumptions
        Figure 2.1: FDP Forecast Methodology
    2.3. Forecast Summary
        2.3.1. CNP Fraud
            Figure & Table 2.2: Total CNP Fraud Value ($m): Remote Goods Purchases, Airline Tickets, Split by 8 Key Regions 2018-2023
        2.3.2. Total Value of Fraudulent Transactions
            Figure & Table 2.3: Total Value of Fraudulent Transactions ($m), Split by eCommerce Segment 2018-2023
3. Airline eTicketing Fraud: Market Forecasts
    3.1. Introduction
    3.2. Fraud Transaction Value
4. Remote Digital Goods Purchases Fraud: Market Forecasts
    Figure & Table 3.1: Total Airline eTicket Fraudulent Value ($m), Split by 8 Key Regions 2018-2023
    3.3. Online vs Mobile
        Figure & Table 3.2: Total Airline eTicket Fraudulent Value ($m), Split by Sales Channel 2018-2023
    3.4. Fraud Rates
        Figure & Table 3.3: Total Airline Ticket Fraud Rate by Value (%), Split by 8 Key Regions 2018-2023
    4.1. Introduction
    4.2. Fraud Transaction Value
        Figure & Table 4.1: Total Remote Digital Goods Fraudulent Value ($m), Split by 8 Key Regions 2018-2023
    4.3. Online vs Mobile
        Figure & Table 4.2: Total Remote Digital Goods Fraudulent Value ($m), Split by Sales Channel 2018-2023
    4.4. Fraud Rates
5. Remote Physical Goods Purchases Fraud: Market Forecasts
    Figure & Table 4.3: Total Remote Digital Goods Fraud Rate by Value (%), Split by 8 Key Regions 2018-2023
    5.1. Introduction
    5.2. Fraud Transaction Value
        Figure & Table 5.1: Total Remote Physical Goods Fraudulent Value ($m), Split by 8 Key Regions 2018-2023
    5.3. Online vs Mobile
        Figure & Table 5.2: Total Remote Physical Goods Fraudulent Value ($m), Split by Sales Channel 2018-2023
    5.4. Fraud Rates
        Figure & Table 5.3: Total Remote Physical Goods Fraud Rate by Value (%), Split by 8 Key Regions 2018-2023
6. Money Transfer Fraud: Market Forecasts
    6.1. Introduction
    6.2. Fraud Transaction Value
        Figure & Table 6.1: Total Money Transfer Fraudulent Value ($m), Split by 8 Key Regions 2018-2023
    6.3. Online vs Mobile
        Figure & Table 6.2: Total Money Transfer Fraudulent Value ($m), Split by Sales Channel 2018-2023
    6.4. Fraud Rates
        Figure & Table 6.3: Total Money Transfer Fraud Rate by Value (%), Split by 8 Key Regions 2018-2023
7. Digital Banking Fraud: Market Forecasts
    7.1. Introduction
    7.2. Fraud Transaction Value
8. Fraud Detection & Prevention Solutions: Market Forecasts
    Figure & Table 7.1: Total Digital Banking Fraudulent Value ($m), Split by 8 Key Regions 2018-2023
    7.3. Online vs Mobile
        Figure & Table 7.2: Total Digital Banking Fraudulent Value ($m), Split by Sales Channel 2018-2023
    7.4. Fraud Rates
        Figure & Table 7.3: Total Digital Banking Fraud Rate by Value (%), Split by 8 Key Regions 2018-2023
    8.1. Introduction
    8.2. Business Models
        8.2.1. SaaS (Software as a Service)-based Hosting
        8.2.2. Licenced On-premises Software Solution
        8.2.3. Hybrid Model
    8.3. Market Size
        Figure & Table 8.1: Total Annual FDP Spend ($m), Split by 8 Key Regions 2018-2023

Title: Online Payment Fraud: Emerging Threats, Segment Analysis & Market Forecasts 2018-2023
 
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