항공사 사기 탐지 시장 : 컴포넌트, 전개, 부정 유형, 기술, 용도, 최종사용자, 지역별 - 시장 규모, 업계 역학, 기회 분석 및 예측(2026년-2035년)

The airline fraud detection market is experiencing unprecedented demand across the global aviation sector, reflecting the rapid digitization of air travel and the corresponding rise in cyber-enabled financial threats. In 2025, the market is valued at approximately USD 2.36 billion, and it is projected to reach around USD 11.40 billion by 2035, expanding at a compound annual growth rate (CAGR) of 17.06% during the forecast period from 2026 to 2035. This strong growth trajectory highlights how critical fraud prevention has become within airline operations as digital ecosystems continue to replace traditional booking and payment methods.

A major factor driving this expansion is the increasing vulnerability of digital payment systems used across airline booking platforms. As airlines and online travel agencies process millions of transactions daily, the exposure to fraudulent activities such as stolen card usage, account takeovers, and automated booking attacks has intensified significantly. These risks are further amplified by the global nature of air travel, where cross-border transactions, multiple currencies, and third-party intermediaries create additional complexity in securing payment flows.

Noteworthy Market Developments

The airline fraud detection market is dominated by several key players that provide advanced risk management, transaction monitoring, and fraud prevention solutions tailored specifically for the aviation industry. These companies leverage large-scale data analytics, artificial intelligence, and industry-specific intelligence to help airlines reduce financial losses, improve transaction security, and maintain customer trust in increasingly complex digital booking environments.

Accertify plays a leading role in the market by delivering comprehensive, aviation-focused risk management solutions. CyberSource focuses on combating sophisticated cross-border financial fraud by utilizing a broad network of global payment intelligence. Riskified specializes in protecting airline revenues through innovative chargeback guarantee models.

Ravelin is known for its advanced approach to detecting complex synthetic identities and fraudulent behavior patterns. ClearSale focuses on reducing false positives, particularly in high-value international airline itineraries where legitimate transactions are often mistakenly flagged as suspicious.

Core Growth Drivers

The airline fraud detection market is experiencing unprecedented demand as rising cyber threats continue to pressure airlines into rapidly deploying advanced security systems. The increasing frequency and sophistication of digital attacks targeting the aviation sector have made fraud prevention a critical operational priority rather than an optional investment. Airlines are now required to continuously strengthen their security frameworks to protect both financial transactions and sensitive passenger data, especially as booking systems become more interconnected and heavily reliant on digital platforms.

Emerging Opportunity Trends

The airline fraud detection market is increasingly integrating advanced analytical tools to strengthen security across digital booking and payment ecosystems. As fraud tactics become more sophisticated and automated, airlines and security providers are adopting next-generation technologies that can process and evaluate large volumes of transactional and behavioral data in real time. These modern systems are designed to identify suspicious activity at the earliest possible stage, reducing financial losses and improving overall trust in digital airline services. Contemporary risk assessment platforms play a central role in this transformation by analyzing thousands of digital data points almost instantaneously during a single transaction.

Barriers to Optimization

High-value ticket fraud represents a significant challenge that may hinder the growth of the airline fraud detection market. This form of fraud typically involves targeting premium or upper-class tickets, which carry substantially higher monetary value compared to standard economy bookings. Because these tickets can often be resold or exploited for secondary financial gain, they become an attractive target for fraudsters seeking maximum profit from a single transaction. The higher the ticket value, the greater the financial impact when fraudulent activity goes undetected, making this a particularly costly issue for airlines.

Detailed Market Segmentation

By application, payment fraud detection maintained its leading position within the airline fraud detection market, securing the highest market share in 2025. This dominance is closely tied to the aviation industry's deep dependence on digital payment systems for nearly all customer transactions, including ticket bookings, seat upgrades, baggage services, and ancillary travel products. As airlines increasingly shift toward fully digital and contactless payment ecosystems, the need for robust fraud detection mechanisms has become more critical than ever.

By end-user, airlines accounted for the highest market share in 2025, reinforcing their position as the dominant consumer segment within the airline fraud detection market. This leadership is primarily driven by their central role in the aviation value chain, where they directly handle ticket sales, passenger data, and high-volume financial transactions across global booking networks. As the primary interface between customers and the aviation ecosystem, airlines are also the first point of exposure to fraudulent activity, making them the most affected stakeholders when financial or identity-based fraud occurs.

By fraud type, payment card fraud continued to hold the largest revenue share in the airline fraud detection market in 2025. This dominance is closely linked to the aviation industry's heavy reliance on electronic payment systems for ticket bookings, ancillary services, and corporate travel transactions. Because nearly all airline purchases are processed digitally, payment cards remain the primary financial instrument used by customers, making them a highly attractive target for fraudulent activities. In 2026, this typology continues to be especially lucrative for cybercriminal networks, as large volumes of high-value transactions flow through airline booking platforms on a daily basis.

By technology, machine learning and artificial intelligence systems have established clear and undisputed dominance within the airline fraud detection market. As fraud schemes have become more sophisticated and globally interconnected, traditional detection methods are no longer sufficient to handle the scale and complexity of modern transaction environments. The rapid evolution of digital payment systems in aviation has created a highly dynamic risk landscape, where fraudulent activities can occur across multiple channels and geographies in real time, requiring far more adaptive and intelligent security solutions.

Segment Breakdown

By Component

• Software
• Services

By Deployment

• Cloud-Based
• On-Premise
• Hybrid

By Fraud Type

• Payment Card Fraud
• Booking & Reservation Fraud
• Loyalty Program Fraud
• Refund & Chargeback Fraud
• Identity Fraud
• Account Takeover Fraud
• Agency & Merchant Fraud

By Technology

• Rule-Based Analytics
• Machine Learning & AI
• Behavioral Analytics
• Device Intelligence
• Biometric Authentication
• Real-Time Risk Scoring

By Application

• Passenger Booking Systems
• Revenue Management
• Loyalty Programs
• Online Travel Agency Monitoring
• Payment Processing

By End User

• Airlines, Online Travel Agencies (OTAs)
• Global Distribution Systems (GDS)
• Airline Service Providers

By Region

• North America
• The U.S.
• Canada
• Mexico
• Europe
• Western Europe
• The UK
• Germany
• France
• Italy
• Spain
• Rest of Western Europe
• Eastern Europe
• Poland
• Russia
• Rest of Eastern Europe
• Asia Pacific
• China
• India
• Japan
• Australia & New Zealand
• South Korea
• ASEAN
• Rest of Asia Pacific
• Middle East & Africa (MEA)
• Saudi Arabia
• South Africa
• UAE
• Rest of MEA
• South America
• Argentina
• Brazil
• Rest of South America

Geography Breakdown

• North America held a dominant position in the market in 2025, supported by its highly developed and technologically advanced financial and aviation ecosystem. The region's leadership is closely linked to the widespread adoption of sophisticated digital payment infrastructures within the aviation sector, where airlines manage extremely high transaction volumes across both domestic and international routes.
• Airlines operating across North America invest heavily in securing their revenue streams, particularly because the region is home to some of the world's busiest air travel corridors and most competitive aviation markets. The high frequency of ticket purchases, dynamic pricing models, and cross-border bookings creates a complex transaction environment that requires constant monitoring and protection. As a result, aviation companies prioritize robust fraud detection and risk management systems to safeguard profitability and maintain customer trust.
• The airline fraud detection market in North America is further strengthened by stringent regulatory frameworks and compliance requirements that mandate strong security controls for financial transactions. These regulations push airlines and related service providers to continuously enhance their fraud prevention capabilities, ensuring transparency, accountability, and data protection.

Leading Market Participants

• Accertify Inc.
• ACI Worldwide Inc.
• Amadeus IT Group SA
• BAE Systems plc
• Conduent Inc.
• CyberSource Corporation
• Experian plc
• FICO (Fair Isaac Corporation)
• FraudLabs Pro
• IBM Corporation
• LexisNexis Risk Solutions
• NICE Actimize
• Onfido Ltd.
• Riskified Ltd.
• SAS Institute Inc.
• Sift Science Inc.
• Simility (a PayPal Service)
• TRAVELCLICK, an Amadeus Company
• Travelport Worldwide Ltd.
• Worldline SA
• Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Global Airline Fraud Detection Market

Chapter 2. Research Methodology & Research Framework

• 2.1. Research Objective
• 2.2. Product Overview
• 2.3. Market Segmentation
• 2.4. Qualitative Research
  • 2.4.1. Primary & Secondary Sources
• 2.5. Quantitative Research
  • 2.5.1. Primary & Secondary Sources
• 2.6. Breakdown of Primary Research Respondents, By Region
• 2.7. Assumption for Study
• 2.8. Market Size Estimation
• 2.9. Data Triangulation

Chapter 3. Global Airline Fraud Detection Market Overview

• 3.1. Industry Value Chain Analysis
  • 3.1.1. Data Sources & Threat Intelligence Providers
  • 3.1.2. Fraud Detection Software & Analytics Developers
  • 3.1.3. AI/ML & Behavioral Analytics Technology Providers
  • 3.1.4. Payment Gateways & Authentication Service Providers
  • 3.1.5. System Integrators & Managed Security Service Providers
  • 3.1.6. End Users (Airlines, OTAs, GDS, Airline Service Providers)
• 3.2. Industry Outlook
  • 3.2.1. Overview of Aviation Cybersecurity & Digital Payment Fraud
  • 3.2.2. Shift from Rule-Based Detection to AI/ML-Driven Risk Scoring
  • 3.2.3. Regulatory & Compliance Landscape (PSD2/SCA, PCI DSS, Data Privacy)
• 3.3. PESTLE Analysis
• 3.4. Porter's Five Forces Analysis
  • 3.4.1. Bargaining Power of Suppliers
  • 3.4.2. Bargaining Power of Buyers
  • 3.4.3. Threat of Substitutes
  • 3.4.4. Threat of New Entrants
  • 3.4.5. Degree of Competition
• 3.5. Market Growth and Outlook
  • 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
  • 3.5.2. Price Trend Analysis, By Component

Chapter 4. Global Airline Fraud Detection Market Analysis

• 4.1. Competition Dashboard
  • 4.1.1. Market Concentration Rate
  • 4.1.2. Company Market Share Analysis (Value %), 2025
  • 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global Airline Fraud Detection Market Analysis

• 5.1. Market Dynamics and Trends
  • 5.1.1. Growth Drivers
  • 5.1.2. Restraints
  • 5.1.3. Opportunity
  • 5.1.4. Key Trends
• 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 5.2.1. By Component
    • 5.2.1.1. Key Insights
      • 5.2.1.1.1. Software
      • 5.2.1.1.2. Services
  • 5.2.2. By Deployment
    • 5.2.2.1. Key Insights
      • 5.2.2.1.1. Cloud-Based
      • 5.2.2.1.2. On-Premise
      • 5.2.2.1.3. Hybrid
  • 5.2.3. By Fraud Type
    • 5.2.3.1. Key Insights
      • 5.2.3.1.1. Payment Card Fraud
      • 5.2.3.1.2. Booking & Reservation Fraud
      • 5.2.3.1.3. Loyalty Program Fraud
      • 5.2.3.1.4. Refund & Chargeback Fraud
      • 5.2.3.1.5. Identity Fraud
      • 5.2.3.1.6. Account Takeover Fraud
      • 5.2.3.1.7. Agency & Merchant Fraud
  • 5.2.4. By Technology
    • 5.2.4.1. Key Insights
      • 5.2.4.1.1. Rule-Based Analytics
      • 5.2.4.1.2. Machine Learning & AI
      • 5.2.4.1.3. Behavioral Analytics
      • 5.2.4.1.4. Device Intelligence
      • 5.2.4.1.5. Biometric Authentication
      • 5.2.4.1.6. Real-Time Risk Scoring
  • 5.2.5. By Application
    • 5.2.5.1. Key Insights
      • 5.2.5.1.1. Passenger Booking Systems
      • 5.2.5.1.2. Revenue Management
      • 5.2.5.1.3. Loyalty Programs
      • 5.2.5.1.4. Online Travel Agency Monitoring
      • 5.2.5.1.5. Payment Processing
  • 5.2.6. By End User
    • 5.2.6.1. Key Insights
      • 5.2.6.1.1. Airlines
      • 5.2.6.1.2. Online Travel Agencies (OTAs)
      • 5.2.6.1.3. Global Distribution Systems (GDS)
      • 5.2.6.1.4. Airline Service Providers
  • 5.2.7. By Region
    • 5.2.7.1. Key Insights
      • 5.2.7.1.1. North America
        • 5.2.7.1.1.1. The U.S.
        • 5.2.7.1.1.2. Canada
        • 5.2.7.1.1.3. Mexico
      • 5.2.7.1.2. Europe
        • 5.2.7.1.2.1. Western Europe
          • 5.2.7.1.2.1.1. The UK
          • 5.2.7.1.2.1.2. Germany
          • 5.2.7.1.2.1.3. France
          • 5.2.7.1.2.1.4. Italy
          • 5.2.7.1.2.1.5. Spain
          • 5.2.7.1.2.1.6. Rest of Western Europe
        • 5.2.7.1.2.2. Eastern Europe
          • 5.2.7.1.2.2.1. Poland
          • 5.2.7.1.2.2.2. Russia
          • 5.2.7.1.2.2.3. Rest of Eastern Europe
      • 5.2.7.1.3. Asia Pacific
        • 5.2.7.1.3.1. China
        • 5.2.7.1.3.2. India
        • 5.2.7.1.3.3. Japan
        • 5.2.7.1.3.4. Australia & New Zealand
        • 5.2.7.1.3.5. South Korea
        • 5.2.7.1.3.6. ASEAN
        • 5.2.7.1.3.7. Rest of Asia Pacific
      • 5.2.7.1.4. Middle East & Africa (MEA)
        • 5.2.7.1.4.1. Saudi Arabia
        • 5.2.7.1.4.2. South Africa
        • 5.2.7.1.4.3. UAE
        • 5.2.7.1.4.4. Rest of MEA
      • 5.2.7.1.5. South America
        • 5.2.7.1.5.1. Argentina
        • 5.2.7.1.5.2. Brazil
        • 5.2.7.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

• 6.1. Market Dynamics and Trends
  • 6.1.1. Growth Drivers
  • 6.1.2. Restraints
  • 6.1.3. Opportunity
  • 6.1.4. Key Trends
• 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 6.2.1. Key Insights
    • 6.2.1.1. By Component
    • 6.2.1.2. By Deployment
    • 6.2.1.3. By Fraud Type
    • 6.2.1.4. By Technology
    • 6.2.1.5. By Application
    • 6.2.1.6. By End User
    • 6.2.1.7. By Country

Chapter 7. Europe Market Analysis

• 7.1. Market Dynamics and Trends
  • 7.1.1. Growth Drivers
  • 7.1.2. Restraints
  • 7.1.3. Opportunity
  • 7.1.4. Key Trends
• 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 7.2.1. Key Insights
    • 7.2.1.1. By Component
    • 7.2.1.2. By Deployment
    • 7.2.1.3. By Fraud Type
    • 7.2.1.4. By Technology
    • 7.2.1.5. By Application
    • 7.2.1.6. By End User
    • 7.2.1.7. By Country

Chapter 8. Asia Pacific Market Analysis

• 8.1. Market Dynamics and Trends
  • 8.1.1. Growth Drivers
  • 8.1.2. Restraints
  • 8.1.3. Opportunity
  • 8.1.4. Key Trends
• 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 8.2.1. Key Insights
    • 8.2.1.1. By Component
    • 8.2.1.2. By Deployment
    • 8.2.1.3. By Fraud Type
    • 8.2.1.4. By Technology
    • 8.2.1.5. By Application
    • 8.2.1.6. By End User
    • 8.2.1.7. By Country

Chapter 9. Middle East & Africa Market Analysis

• 9.1. Market Dynamics and Trends
  • 9.1.1. Growth Drivers
  • 9.1.2. Restraints
  • 9.1.3. Opportunity
  • 9.1.4. Key Trends
• 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 9.2.1. Key Insights
    • 9.2.1.1. By Component
    • 9.2.1.2. By Deployment
    • 9.2.1.3. By Fraud Type
    • 9.2.1.4. By Technology
    • 9.2.1.5. By Application
    • 9.2.1.6. By End User
    • 9.2.1.7. By Country

Chapter 10. South America Market Analysis

• 10.1. Market Dynamics and Trends
  • 10.1.1. Growth Drivers
  • 10.1.2. Restraints
  • 10.1.3. Opportunity
  • 10.1.4. Key Trends
• 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 10.2.1. Key Insights
    • 10.2.1.1. By Component
    • 10.2.1.2. By Deployment
    • 10.2.1.3. By Fraud Type
    • 10.2.1.4. By Technology
    • 10.2.1.5. By Application
    • 10.2.1.6. By End User
    • 10.2.1.7. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

• 11.1. Accertify Inc.
• 11.2. ACI Worldwide Inc.
• 11.3. Amadeus IT Group SA
• 11.4. BAE Systems plc
• 11.5. Conduent Inc.
• 11.6. CyberSource Corporation
• 11.7. Experian plc
• 11.8. FICO (Fair Isaac Corporation)
• 11.9. FraudLabs Pro
• 11.10. IBM Corporation
• 11.11. LexisNexis Risk Solutions
• 11.12. NICE Actimize
• 11.13. Onfido Ltd.
• 11.14. Riskified Ltd.
• 11.15. SAS Institute Inc.
• 11.16. Sift Science Inc.
• 11.17. Simility (a PayPal Service)
• 11.18. TRAVELCLICK, an Amadeus Company
• 11.19. Travelport Worldwide Ltd.
• 11.20. Worldline SA
• 11.21. Other Prominent Players

Chapter 12. Annexure

• 12.1. List of Secondary Sources
• 12.2. Key Country Markets- Macro Economic Outlook/Indicators