시장보고서
상품코드
1457963

사기 탐지 및 방지 시장 : 시장 규모, 점유율 분석, 산업 수요 예측(-2030년)

Fraud Detection and Prevention Market Share Analysis by Offering, Type, Deployment, Platform, Enterprise Size, Vertical, Threat Type, Application - Global Industry Demand Forecast to 2030

발행일: | 리서치사: Prescient & Strategic Intelligence | 페이지 정보: 영문 320 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

2023년 사기 탐지 및 방지(Fraud Detection and Prevention)시장 매출액은 279억 달러에 달했습니다. 2024년부터 2030년까지 CAGR은 19.0%로, 2030년에는 942억 달러에 달할 것으로 예측되고 있습니다.

급성장이 기대되는 서비스 분야

예측 기간 동안 서비스 범주는 19.2%의 높은 CAGR로 성장할 것으로 예상됩니다. 이는 주로 기술적 진보, 항상 추적 가능한 능력, 유연성 때문입니다.

BFSI 카테고리가 시장을 독점

은행 및 금융서비스·보험(BFSI) 카테고리는 사기 탐지 및 방지 업계에서 가장 높은 수익을 올리고 있습니다. 이는 지난 몇 년간의 급속한 전기화와 디지털화 과정에 기인하고 있습니다.

북미가 시장을 선도

북미는 현재 사기 탐지 및 방지의 최대 시장입니다.

이는 주로 기업이 많은 업무에서 클라우드 기술을 받아들이고 있기 때문에 위장 행위가 급증하고 있기 때문입니다.

아시아 태평양은 예측 기간 동안 가장 빠르게 성장할 것으로 예측됩니다. 이 배경에는 첨단 IT 개발, 배치 스트리밍, 거대 기업의 설립 증가, 지역의 중소기업 보호를 위한 실시간 사기 탐지에 대한 요구가 증가하고 있습니다.

세계의 사기 탐지 및 방지 시장에 대해 분석했으며, 시장의 기본 구조/최신 정세/주요 촉진·억제 요인/세계 전체 및 지역별·주요 국가별 시장 규모 동향 전망(수량·금액 기준, 2017-2030년)/제공 제품 및 서비스별·유형별·전개 방식별·플랫폼별·기업 규모별·산업별·위협 유형별·용도별 상세 동향/현재 시장 경쟁 구도/주요 기업 프로파일 등 정보를 전해드립니다.

목차

제1장 조사 범위

제2장 조사 방법

제3장 주요 요약

제4장 시장 지표

제5장 산업 전망

  • 시장 역학
    • 동향
    • 성장 촉진 요인
    • 억제 요인/과제
    • 성장 촉진 요인/억제 요인의 영향 분석
  • COVID-19의 영향
  • Porter's Five Forces 분석

제6장 시장

  • 개요
  • 시장 매출 : 제공 제품 및 서비스별(2017-2030년)
  • 시장 매출 : 유형별(2017-2030년)
  • 시장 매출 : 전개 방식별(2017-2030년)
  • 시장 매출 : 플랫폼별(2017-2030년)
  • 시장 매출 : 기업 규모별(2017-2030년)
  • 시장 매출 : 산업별(2017-2030년)
  • 시장 매출 : 위협 유형별(2017-2030년)
  • 시장 매출 : 용도별(2017-2030년)
  • 시장 매출 : 지역별(2017-2030년)

제7장 북미 시장

  • 개요
  • 시장 매출 : 제공 제품 및 서비스별(2017-2030년)
  • 시장 매출 : 유형별(2017-2030년)
  • 시장 매출 : 전개 방식별(2017-2030년)
  • 시장 매출 : 플랫폼별(2017-2030년)
  • 시장 매출 : 기업 규모별(2017-2030년)
  • 시장 매출 : 산업별(2017-2030년)
  • 시장 매출 : 위협 유형별(2017-2030년)
  • 시장 매출 : 용도별(2017-2030년)
  • 시장 매출 : 국가별(2017-2030년)

제8장 유럽 시장

제9장 아시아 태평양 시장

제10장 남미 시장

제11장 중동 및 아프리카(MEA) 시장

제12장 미국 시장

  • 개요
  • 시장 매출 : 제공 제품 및 서비스별(2017-2030년)
  • 시장 매출 : 유형별(2017-2030년)
  • 시장 매출 : 전개 방식별(2017-2030년)
  • 시장 매출 : 플랫폼별(2017-2030년)
  • 시장 매출 : 기업 규모별(2017-2030년)
  • 시장 매출 : 산업별(2017-2030년)
  • 시장 매출 : 경이유형별(2017-2030년)
  • 시장 매출 : 용도별(2017-2030년)

제13장 캐나다 시장

제14장 독일 시장

제15장 프랑스 시장

제16장 영국 시장

제17장 이탈리아 시장

제18장 스페인 시장

제19장 일본 시장

제20장 중국 시장

제21장 인도 시장

제22장 호주 시장

제23장 한국 시장

제24장 브라질 시장

제25장 멕시코 시장

제26장 사우디아라비아 시장

제27장 남아프리카 시장

제28장 아랍에미리트(UAE) 시장

제29장 경쟁 구도

  • 시장 진출기업 및 제공 제품 및 서비스 목록
  • 주요 기업의 경쟁 벤치마킹
  • 주요 기업의 제품 벤치마킹
  • 최근의 전략 전개 상황

제30장 기업 프로파일

  • IBM Corporation
  • RELX
  • Experian PLC
  • Fiserv Inc.
  • Sas Institute Inc.
  • ACI Worldwide Inc.

제31장 부록

LYJ 24.04.16

The revenue generated by the global fraud detection and prevention market was USD 27.9

billion in 2023. It is projected to experience a compound annual growth rate (CAGR) of 19.0% from 2024 to 2030, reaching USD 94.2 billion by the year 2030.

Market Drivers

Development is driven by technical improvements helping fraud identification, monitoring, evaluation, and prevention, particularly in banking and finance.

Increased internet usage contributes to a rise in offline and online fraud cases, particularly targeting the elderly.

The necessity for regulatory compliance in fraud prevention leads to the widespread adoption of fraud detection technologies across industries.

Impact of the proliferation of online applications, resulting in an increase in fraudulent websites and apps, especially in sectors like retail and e-commerce.

Adoption of hybrid and analytical approaches to combine multiple fraud detection techniques for comprehensive fraud prevention strategies.

Hybrid and Analytical Methods Dominating the Industry

Hybrid and Analytical Method: Merging numerous fraud detection methods into a single technical solution to make a better and stronger fraud prevention plan.

Using Strengths of Several Approaches: The method uses the strengths of several fraud detection approaches to advance efficiency.

Smooth Connection and Analysis: The combined mechanism rapidly connects to every fraud detection application and examines the vital prevention measures for specific fraud kinds.

Significant Players Offering Hybrid Analytical Solutions: Businesses like TransUnion LLC, SAS Institute Inc., and Experian offer hybrid analytical methods to allow fast decision-making for real-time transactions.

Constant Adaptation to Evolving Fraud Tactics: The solution helps enterprises stay updated on constantly evolving fraud tactics, enhancing the protection of assets, customers, and reputations.

Service Category Expected to Experience Rapid Growth

During the projection period, the service category is estimated to advance at a higher CAGR, of 19.2%. This is mainly because of the technical advances, the capability to track all the time, and flexibility.

Integration, Consulting, and Training Services Essential: Organizations require these services to establish a strong and comprehensive framework.

Emphasis on Cybersecurity Services: Businesses are prioritizing cybersecurity services to fortify their defenses against unauthorized access and data manipulation, with a focus on safeguarding confidential information.

BFSI Category Is the Market Dominator

The BFSI category generated the highest income in the fraud discovery and prevention industry. This can be credited to the fast electrification and digitalization process in the past few years.

Considered the largest action-oriented program in the banking and financial sector, leading to substantial investments in on-premises and cloud security systems.

Aids in decreasing instances of online transaction fraud, including insurance claim fraud, card-related fraud, and loan fraud, particularly within the banking and financial sector.

As per the FTC, customers stated losing USD 8.8 billion to investment fraud in 2022, marking a surge of over 30% in comparison previous year.

North America Is Leading the Market

The North American region presently is the largest market for fraud detection and prevention.

This is mainly because of the growing acceptance of cloud tech by business firms for numerous operations, therefore contributing to a surge in the count of sham activities.

Furthermore, the strong surge in R&D with the addition of advanced and secure networks fortified with the IoT will help industry development in the continent. For example, popular companies in North America such as Samsung, Google, and Apple are focused on enhanced mobile payment gateways and in this way paying to a high need for such kinds of solutions in the continent.

The APAC region is projected to be the fastest-rising industry during the projection period. This can be credited to advanced IT development, batch streaming, increasing establishment by huge enterprises, and the rising need for real-time fraud discovery to shield small and medium enterprises in the region.

Table of Contents

Chapter 1. Research Scope

  • 1.1. Research Objectives
  • 1.2. Market Definition
  • 1.3. Analysis Period
  • 1.4. Market Size Breakdown by Segments
    • 1.4.1. Market size breakdown, by offering
    • 1.4.2. Market size breakdown, by type
    • 1.4.3. Market size breakdown, by deployment
    • 1.4.4. Market size breakdown, by platform
    • 1.4.5. Market size breakdown, by enterprise size
    • 1.4.6. Market size breakdown, by vertical
    • 1.4.7. Market size breakdown, by threat type
    • 1.4.8. Market size breakdown, by application
    • 1.4.9. Market size breakdown, by region
    • 1.4.10. Market size breakdown, by country
  • 1.5. Market Data Reporting Unit
    • 1.5.1. Value
  • 1.6. Key Stakeholders

Chapter 2. Research Methodology

  • 2.1. Secondary Research
    • 2.1.1. Paid
    • 2.1.2. Unpaid
    • 2.1.3. P&S Intelligence database
  • 2.2. Primary Research
  • 2.3. Market Size Estimation
  • 2.4. Data Triangulation
  • 2.5. Currency Conversion Rates
  • 2.6. Assumptions for the Study
  • 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

  • 5.1. Market Dynamics
    • 5.1.1. Trends
    • 5.1.2. Drivers
    • 5.1.3. Restraints/challenges
    • 5.1.4. Impact analysis of drivers/restraints
  • 5.2. Impact of COVID-19
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Bargaining power of buyers
    • 5.3.2. Bargaining power of suppliers
    • 5.3.3. Threat of new entrants
    • 5.3.4. Intensity of rivalry
    • 5.3.5. Threat of substitutes

Chapter 6. Global Market

  • 6.1. Overview
  • 6.2. Market Revenue, by Offering (2017-2030)
  • 6.3. Market Revenue, by Type (2017-2030)
  • 6.4. Market Revenue, by Deployment (2017-2030)
  • 6.5. Market Revenue, by Platform (2017-2030)
  • 6.6. Market Revenue, by Enterprise Size (2017-2030)
  • 6.7. Market Revenue, by Vertical (2017-2030)
  • 6.8. Market Revenue, by Threat Type (2017-2030)
  • 6.9. Market Revenue, by Application (2017-2030)
  • 6.10. Market Revenue, by Region (2017-2030)

Chapter 7. North America Market

  • 7.1. Overview
  • 7.2. Market Revenue, by Offering (2017-2030)
  • 7.3. Market Revenue, by Type (2017-2030)
  • 7.4. Market Revenue, by Deployment (2017-2030)
  • 7.5. Market Revenue, by Platform (2017-2030)
  • 7.6. Market Revenue, by Enterprise Size (2017-2030)
  • 7.7. Market Revenue, by Vertical (2017-2030)
  • 7.8. Market Revenue, by Threat Type (2017-2030)
  • 7.9. Market Revenue, by Application (2017-2030)
  • 7.10. Market Revenue, by Country (2017-2030)

Chapter 8. Europe Market

  • 8.1. Overview
  • 8.2. Market Revenue, by Offering (2017-2030)
  • 8.3. Market Revenue, by Type (2017-2030)
  • 8.4. Market Revenue, by Deployment (2017-2030)
  • 8.5. Market Revenue, by Platform (2017-2030)
  • 8.6. Market Revenue, by Enterprise Size (2017-2030)
  • 8.7. Market Revenue, by Vertical (2017-2030)
  • 8.8. Market Revenue, by Threat Type (2017-2030)
  • 8.9. Market Revenue, by Application (2017-2030)
  • 8.10. Market Revenue, by Country (2017-2030)

Chapter 9. APAC Market

  • 9.1. Overview
  • 9.2. Market Revenue, by Offering (2017-2030)
  • 9.3. Market Revenue, by Type (2017-2030)
  • 9.4. Market Revenue, by Deployment (2017-2030)
  • 9.5. Market Revenue, by Platform (2017-2030)
  • 9.6. Market Revenue, by Enterprise Size (2017-2030)
  • 9.7. Market Revenue, by Vertical (2017-2030)
  • 9.8. Market Revenue, by Threat Type (2017-2030)
  • 9.9. Market Revenue, by Application (2017-2030)
  • 9.10. Market Revenue, by Country (2017-2030)

Chapter 10. LATAM Market

  • 10.1. Overview
  • 10.2. Market Revenue, by Offering (2017-2030)
  • 10.3. Market Revenue, by Type (2017-2030)
  • 10.4. Market Revenue, by Deployment (2017-2030)
  • 10.5. Market Revenue, by Platform (2017-2030)
  • 10.6. Market Revenue, by Enterprise Size (2017-2030)
  • 10.7. Market Revenue, by Vertical (2017-2030)
  • 10.8. Market Revenue, by Threat Type (2017-2030)
  • 10.9. Market Revenue, by Application (2017-2030)
  • 10.10. Market Revenue, by Country (2017-2030)

Chapter 11. MEA Market

  • 11.1. Overview
  • 11.2. Market Revenue, by Offering (2017-2030)
  • 11.3. Market Revenue, by Type (2017-2030)
  • 11.4. Market Revenue, by Deployment (2017-2030)
  • 11.5. Market Revenue, by Platform (2017-2030)
  • 11.6. Market Revenue, by Enterprise Size (2017-2030)
  • 11.7. Market Revenue, by Vertical (2017-2030)
  • 11.8. Market Revenue, by Threat Type (2017-2030)
  • 11.9. Market Revenue, by Application (2017-2030)
  • 11.10. Market Revenue, by Country (2017-2030)

Chapter 12. U.S. Market

  • 12.1. Overview
  • 12.2. Market Revenue, by Offering (2017-2030)
  • 12.3. Market Revenue, by Type (2017-2030)
  • 12.4. Market Revenue, by Deployment (2017-2030)
  • 12.5. Market Revenue, by Platform (2017-2030)
  • 12.6. Market Revenue, by Enterprise Size (2017-2030)
  • 12.7. Market Revenue, by Vertical (2017-2030)
  • 12.8. Market Revenue, by Threat Type (2017-2030)
  • 12.9. Market Revenue, by Application (2017-2030)

Chapter 13. Canada Market

  • 13.1. Overview
  • 13.2. Market Revenue, by Offering (2017-2030)
  • 13.3. Market Revenue, by Type (2017-2030)
  • 13.4. Market Revenue, by Deployment (2017-2030)
  • 13.5. Market Revenue, by Platform (2017-2030)
  • 13.6. Market Revenue, by Enterprise Size (2017-2030)
  • 13.7. Market Revenue, by Vertical (2017-2030)
  • 13.8. Market Revenue, by Threat Type (2017-2030)
  • 13.9. Market Revenue, by Application (2017-2030)

Chapter 14. Germany Market

  • 14.1. Overview
  • 14.2. Market Revenue, by Offering (2017-2030)
  • 14.3. Market Revenue, by Type (2017-2030)
  • 14.4. Market Revenue, by Deployment (2017-2030)
  • 14.5. Market Revenue, by Platform (2017-2030)
  • 14.6. Market Revenue, by Enterprise Size (2017-2030)
  • 14.7. Market Revenue, by Vertical (2017-2030)
  • 14.8. Market Revenue, by Threat Type (2017-2030)
  • 14.9. Market Revenue, by Application (2017-2030)

Chapter 15. France Market

  • 15.1. Overview
  • 15.2. Market Revenue, by Offering (2017-2030)
  • 15.3. Market Revenue, by Type (2017-2030)
  • 15.4. Market Revenue, by Deployment (2017-2030)
  • 15.5. Market Revenue, by Platform (2017-2030)
  • 15.6. Market Revenue, by Enterprise Size (2017-2030)
  • 15.7. Market Revenue, by Vertical (2017-2030)
  • 15.8. Market Revenue, by Threat Type (2017-2030)
  • 15.9. Market Revenue, by Application (2017-2030)

Chapter 16. U.K. Market

  • 16.1. Overview
  • 16.2. Market Revenue, by Offering (2017-2030)
  • 16.3. Market Revenue, by Type (2017-2030)
  • 16.4. Market Revenue, by Deployment (2017-2030)
  • 16.5. Market Revenue, by Platform (2017-2030)
  • 16.6. Market Revenue, by Enterprise Size (2017-2030)
  • 16.7. Market Revenue, by Vertical (2017-2030)
  • 16.8. Market Revenue, by Threat Type (2017-2030)
  • 16.9. Market Revenue, by Application (2017-2030)

Chapter 17. Italy Market

  • 17.1. Overview
  • 17.2. Market Revenue, by Offering (2017-2030)
  • 17.3. Market Revenue, by Type (2017-2030)
  • 17.4. Market Revenue, by Deployment (2017-2030)
  • 17.5. Market Revenue, by Platform (2017-2030)
  • 17.6. Market Revenue, by Enterprise Size (2017-2030)
  • 17.7. Market Revenue, by Vertical (2017-2030)
  • 17.8. Market Revenue, by Threat Type (2017-2030)
  • 17.9. Market Revenue, by Application (2017-2030)

Chapter 18. Spain Market

  • 18.1. Overview
  • 18.2. Market Revenue, by Offering (2017-2030)
  • 18.3. Market Revenue, by Type (2017-2030)
  • 18.4. Market Revenue, by Deployment (2017-2030)
  • 18.5. Market Revenue, by Platform (2017-2030)
  • 18.6. Market Revenue, by Enterprise Size (2017-2030)
  • 18.7. Market Revenue, by Vertical (2017-2030)
  • 18.8. Market Revenue, by Threat Type (2017-2030)
  • 18.9. Market Revenue, by Application (2017-2030)

Chapter 19. Japan Market

  • 19.1. Overview
  • 19.2. Market Revenue, by Offering (2017-2030)
  • 19.3. Market Revenue, by Type (2017-2030)
  • 19.4. Market Revenue, by Deployment (2017-2030)
  • 19.5. Market Revenue, by Platform (2017-2030)
  • 19.6. Market Revenue, by Enterprise Size (2017-2030)
  • 19.7. Market Revenue, by Vertical (2017-2030)
  • 19.8. Market Revenue, by Threat Type (2017-2030)
  • 19.9. Market Revenue, by Application (2017-2030)

Chapter 20. China Market

  • 20.1. Overview
  • 20.2. Market Revenue, by Offering (2017-2030)
  • 20.3. Market Revenue, by Type (2017-2030)
  • 20.4. Market Revenue, by Deployment (2017-2030)
  • 20.5. Market Revenue, by Platform (2017-2030)
  • 20.6. Market Revenue, by Enterprise Size (2017-2030)
  • 20.7. Market Revenue, by Vertical (2017-2030)
  • 20.8. Market Revenue, by Threat Type (2017-2030)
  • 20.9. Market Revenue, by Application (2017-2030)

Chapter 21. India Market

  • 21.1. Overview
  • 21.2. Market Revenue, by Offering (2017-2030)
  • 21.3. Market Revenue, by Type (2017-2030)
  • 21.4. Market Revenue, by Deployment (2017-2030)
  • 21.5. Market Revenue, by Platform (2017-2030)
  • 21.6. Market Revenue, by Enterprise Size (2017-2030)
  • 21.7. Market Revenue, by Vertical (2017-2030)
  • 21.8. Market Revenue, by Threat Type (2017-2030)
  • 21.9. Market Revenue, by Application (2017-2030)

Chapter 22. Australia Market

  • 22.1. Overview
  • 22.2. Market Revenue, by Offering (2017-2030)
  • 22.3. Market Revenue, by Type (2017-2030)
  • 22.4. Market Revenue, by Deployment (2017-2030)
  • 22.5. Market Revenue, by Platform (2017-2030)
  • 22.6. Market Revenue, by Enterprise Size (2017-2030)
  • 22.7. Market Revenue, by Vertical (2017-2030)
  • 22.8. Market Revenue, by Threat Type (2017-2030)
  • 22.9. Market Revenue, by Application (2017-2030)

Chapter 23. South Korea Market

  • 23.1. Overview
  • 23.2. Market Revenue, by Offering (2017-2030)
  • 23.3. Market Revenue, by Type (2017-2030)
  • 23.4. Market Revenue, by Deployment (2017-2030)
  • 23.5. Market Revenue, by Platform (2017-2030)
  • 23.6. Market Revenue, by Enterprise Size (2017-2030)
  • 23.7. Market Revenue, by Vertical (2017-2030)
  • 23.8. Market Revenue, by Threat Type (2017-2030)
  • 23.9. Market Revenue, by Application (2017-2030)

Chapter 24. Brazil Market

  • 24.1. Overview
  • 24.2. Market Revenue, by Offering (2017-2030)
  • 24.3. Market Revenue, by Type (2017-2030)
  • 24.4. Market Revenue, by Deployment (2017-2030)
  • 24.5. Market Revenue, by Platform (2017-2030)
  • 24.6. Market Revenue, by Enterprise Size (2017-2030)
  • 24.7. Market Revenue, by Vertical (2017-2030)
  • 24.8. Market Revenue, by Threat Type (2017-2030)
  • 24.9. Market Revenue, by Application (2017-2030)

Chapter 25. Mexico Market

  • 25.1. Overview
  • 25.2. Market Revenue, by Offering (2017-2030)
  • 25.3. Market Revenue, by Type (2017-2030)
  • 25.4. Market Revenue, by Deployment (2017-2030)
  • 25.5. Market Revenue, by Platform (2017-2030)
  • 25.6. Market Revenue, by Enterprise Size (2017-2030)
  • 25.7. Market Revenue, by Vertical (2017-2030)
  • 25.8. Market Revenue, by Threat Type (2017-2030)
  • 25.9. Market Revenue, by Application (2017-2030)

Chapter 26. Saudi Arabia Market

  • 26.1. Overview
  • 26.2. Market Revenue, by Offering (2017-2030)
  • 26.3. Market Revenue, by Type (2017-2030)
  • 26.4. Market Revenue, by Deployment (2017-2030)
  • 26.5. Market Revenue, by Platform (2017-2030)
  • 26.6. Market Revenue, by Enterprise Size (2017-2030)
  • 26.7. Market Revenue, by Vertical (2017-2030)
  • 26.8. Market Revenue, by Threat Type (2017-2030)
  • 26.9. Market Revenue, by Application (2017-2030)

Chapter 27. South Africa Market

  • 27.1. Overview
  • 27.2. Market Revenue, by Offering (2017-2030)
  • 27.3. Market Revenue, by Type (2017-2030)
  • 27.4. Market Revenue, by Deployment (2017-2030)
  • 27.5. Market Revenue, by Platform (2017-2030)
  • 27.6. Market Revenue, by Enterprise Size (2017-2030)
  • 27.7. Market Revenue, by Vertical (2017-2030)
  • 27.8. Market Revenue, by Threat Type (2017-2030)
  • 27.9. Market Revenue, by Application (2017-2030)

Chapter 28. U.A.E. Market

  • 28.1. Overview
  • 28.2. Market Revenue, by Offering (2017-2030)
  • 28.3. Market Revenue, by Type (2017-2030)
  • 28.4. Market Revenue, by Deployment (2017-2030)
  • 28.5. Market Revenue, by Platform (2017-2030)
  • 28.6. Market Revenue, by Enterprise Size (2017-2030)
  • 28.7. Market Revenue, by Vertical (2017-2030)
  • 28.8. Market Revenue, by Threat Type (2017-2030)
  • 28.9. Market Revenue, by Application (2017-2030)

Chapter 29. Competitive Landscape

  • 29.1. List of Market Players and their Offerings
  • 29.2. Competitive Benchmarking of Key Players
  • 29.3. Product Benchmarking of Key Players
  • 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

  • 30.1. IBM Corporation
    • 30.1.1. Business overview
    • 30.1.2. Product and service offerings
    • 30.1.3. Key financial summary
  • 30.2. RELX
    • 30.2.1. Business overview
    • 30.2.2. Product and service offerings
    • 30.2.3. Key financial summary
  • 30.3. Experian PLC
    • 30.3.1. Business overview
    • 30.3.2. Product and service offerings
    • 30.3.3. Key financial summary
  • 30.4. Fiserv Inc.
    • 30.4.1. Business overview
    • 30.4.2. Product and service offerings
    • 30.4.3. Key financial summary
  • 30.5. Sas Institute Inc.
    • 30.5.1. Business overview
    • 30.5.2. Product and service offerings
    • 30.5.3. Key financial summary
  • 30.6. ACI Worldwide Inc.
    • 30.6.1. Business overview
    • 30.6.2. Product and service offerings
    • 30.6.3. Key financial summary

Chapter 31. Appendix

  • 31.1. Abbreviations
  • 31.2. Sources and References
  • 31.3. Related Reports
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