查看購物車
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
2069637

航空詐欺偵測市場：按組件、部署、詐欺類型、技術、應用、最終用戶和地區分類－市場規模、產業動態、機會分析和預測（2026-2035 年）

Airline Fraud Detection Market: By Component, Deployment, Fraud Type, Technology, Application, End User, Region - Market Size, Industry Dynamics, Opportunity Analysis and Forecast for 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 240 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

全球航空業對航空詐欺偵測市場的需求空前高漲，這反映了航空旅行的快速數位化以及由此帶來的網路攻擊金融威脅的增加。該市場在2025年的估值約為23.6億美元，預計到2035年將達到約114億美元。在2026年至2035年的預測期內，預計其複合年成長率將達到17.06%。這一強勁的成長勢頭凸顯了隨著數位生態系統不斷取代傳統的預訂和支付方式，詐欺防制對航空公司營運的重要性日益凸顯。

推動市場擴張的主要因素之一是航空公司訂票平台使用的數位支付系統日益脆弱。由於航空公司和線上旅行社每天處理數百萬筆交易，遭受諸如信用卡盜用、帳戶劫持和自動訂票攻擊等詐欺活動的風險顯著增加。航空旅行產業的特殊性進一步加劇了這些風險。跨境交易、多種貨幣以及第三方仲介業者的存在，都增加了支付流程安全性的複雜性。

顯著的市場趨勢

航空詐欺偵測市場由少數幾家領先公司主導，這些公司提供專為航空業量身定做的先進風險管理、交易監控和詐欺預防解決方案。這些公司利用大規模數據分析、人工智慧和特定產業，幫助航空公司在日益複雜的數位預訂環境中減少財務損失、提高交易安全性並維護客戶信任。

Accertify憑藉其為航空業量身打造的全面風險管理解決方案，在市場中佔主導地位。 Cyber​​Source利用其廣泛的全球支付情報網路，專注於打擊複雜的跨境金融詐欺。 Riskified則專注於透過其創新的扣回爭議帳款擔保模式來保護航空公司的收入。

Ravelin 以其先進的複雜合成識別和詐欺行為模式檢測方法而聞名。 ClearSale 則專注於減少誤報，尤其是在高價國際機票交易中，合法交易常常被錯誤地標記為可疑交易。

主要成長要素

隨著網路威脅日益加劇，航空公司被迫迅速部署先進的安全系統，航空業的詐欺偵測市場正面臨前所未有的需求。針對航空業的數位攻擊日益頻繁且手段愈加複雜，詐欺預防不再只是一項可有可無的投資，而是至關重要的營運要務。尤其是在訂票系統互聯互通程度不斷提高、對數位平台的依賴日益增強的情況下，航空公司更需要不斷加強安全防護，以保護金融交易和乘客的敏感資料。

新機會的趨勢

在航空詐欺檢測市場，先進分析工具的整合正在不斷推進，以提升整個數位化預訂和支付生態系統的安全性。隨著詐欺手段日益複雜和自動化，航空公司和安全服務供應商正在採用能夠即時處理和評估大量交易及行為數據的新一代技術。這些現代化系統旨在儘早識別可疑活動，從而減少經濟損失，並提升用戶對航空公司數位化服務的整體信心。現代風險評估平台在這項變革中發揮核心作用，它們能夠在單筆交易過程中近乎瞬時地分析數千個數位資料點。

最佳化障礙

高價值機票的詐欺性使用構成了一項重大挑戰，可能會阻礙航空詐欺偵測市場的發展。這類詐欺通常針對高級艙位或精英艙位機票，其價值遠高於一般經濟艙機票。這些機票往往被轉售或濫用以獲取二次經濟利益，因此成為不法分子覬覦的目標，他們試圖從單筆交易中最大化利潤。機票價值越高，如果詐欺行為未被發現，造成的經濟損失就越大，這對航空公司而言是一個特別棘手的問題。

目錄

第1章摘要整理：全球航空公司詐欺偵測市場

第2章：調查方法與研究框架

  • 研究目標
  • 產品概述
  • 市場區隔
  • 定性研究
    • 一手和二手資訊
  • 量化研究
    • 一手和二手資訊
  • 主要調查受訪者組成：按地區分類
  • 本研究的前提
  • 市場規模估算
  • 數據三角測量

第3章：全球航空公司詐欺偵測市場概述

  • 產業價值鏈分析
  • 產業展望
    • 航空網路安全和數位支付詐騙概述
    • 從基於規則的檢測過渡到人工智慧/機器學習驅動的風險評分
    • 監管環境與合規趨勢（PSD2/SCA、PCI DSS、資料隱私）
  • PESTLE分析
  • 波特五力分析
  • 市場成長及前景
    • 2020-2035年市場收入估算與預測
    • 價格趨勢分析：按組件

第4章：全球航空公司詐欺偵測市場分析

  • 競爭對手儀表板
    • 市場集中度
    • 企業市場占有率分析，2025 年
    • 競爭對手分析與基準測試

第5章：全球航空公司詐欺偵測市場分析

  • 市場動態和趨勢
    • 成長要素
    • 抑制因子
    • 機會
    • 主要趨勢
  • 市場規模及預測，2020-2035年
    • 按組件
      • 關鍵見解
        • 軟體
        • 服務
    • 不同的發展
      • 關鍵見解
        • 基於雲端的
        • 現場
        • 混合
    • 按詐欺類型分類
      • 關鍵見解
        • 支付卡片詐騙
        • 預訂和安排詐騙
        • 會員計劃詐騙
        • 退款和扣回爭議帳款詐騙
        • 身分詐騙
        • 帳戶劫持詐騙
        • 代理商和加盟商的詐欺行為
    • 透過技術
      • 關鍵見解
        • 基於規則的分析
        • 機器學習和人工智慧
        • 行為分析
        • 裝置智慧
        • 生物識別
        • 即時風險評分
    • 用途別
      • 關鍵見解
        • 乘客預約系統
        • 收益管理
        • 會員忠誠計劃
        • 線上旅行社（OTA）監控
        • 支付處理
    • 最終用戶
      • 關鍵見解
        • 航空
        • 線上旅行社（OTA）
        • 全球分銷系統（GDS）
        • 航空公司服務供應商
    • 按地區
      • 關鍵見解
        • 北美洲
          • 美國
          • 加拿大
          • 墨西哥
        • 歐洲
          • 西歐
            • 英國
            • 德國
            • 法國
            • 義大利
            • 西班牙
            • 其他西歐國家
          • 東歐
            • 波蘭
            • 俄羅斯
            • 其他東歐國家
        • 亞太地區
          • 中國
          • 印度
          • 日本
          • 澳洲和紐西蘭
          • 韓國
          • ASEAN
          • 其他亞太國家
        • 中東和非洲（MEA）
          • 沙烏地阿拉伯
          • 南非
          • UAE
          • 其他中東和非洲國家
        • 南美洲
          • 阿根廷
          • 巴西
          • 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲市場分析

第10章：南美市場分析

第11章：公司簡介

  • 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

第12章附錄

簡介目錄
Product Code: AA06261815

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