Rapport d’analyse de la taille, de la part et des tendances du marché de la détection des fraudes et de la surveillance des transactions au Moyen-Orient et en Afrique – Aperçu et prévisions du secteur jusqu’en 2031

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Rapport d’analyse de la taille, de la part et des tendances du marché de la détection des fraudes et de la surveillance des transactions au Moyen-Orient et en Afrique – Aperçu et prévisions du secteur jusqu’en 2031

  • ICT
  • Publish Reports
  • Sep 2024
  • MEA
  • 350 Pages
  • Nombre de tableaux : 231
  • Nombre de figures : 29

Middle East And Africa Fraud Detection Transaction Monitoring Market

Taille du marché en milliards USD

TCAC :  % Diagram

Diagram Période de prévision
2024 –2031
Diagram Taille du marché (année de référence)
USD 1.84 Billion
Diagram Taille du marché (année de prévision)
USD 8.25 Billion
Diagram TCAC
%
DiagramPrincipaux acteurs du marché
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>Segmentation du marché de la surveillance des transactions de détection de fraude au Moyen-Orient et en Afrique , par offre (solution et services), fonction (KYC/intégration des clients, gestion des cas, filtrage des listes de surveillance, tableau de bord et rapports, et autres), déploiement (sur site et dans le cloud), taille de l'organisation (organisations de grande taille et petites et moyennes entreprises), application (détection de fraude aux paiements, détection du blanchiment d'argent , protection contre la prise de contrôle de compte, prévention du vol d'identité, et autres), vertical (banque, services financiers et assurances (BFSI), vente au détail , informatique et télécommunications, gouvernement et défense, soins de santé, fabrication, énergie et services publics , et autres) - Tendances et prévisions du secteur jusqu'en 2031.

Marché de la détection des fraudes et de la surveillance des transactions

Analyse du marché de la détection des fraudes et de la surveillance des transactions

Le marché de la surveillance des transactions de détection de fraude au Moyen-Orient et en Afrique connaît une croissance robuste en raison de l'augmentation des transactions financières et des cybermenaces sophistiquées. Des technologies avancées telles que l'IA et l'apprentissage automatique sont intégrées pour améliorer la précision de la détection des fraudes et réduire les faux positifs. Les pressions réglementaires et le besoin de conformité favorisent l'adoption dans tous les secteurs. Les principaux acteurs du marché comprennent des entreprises spécialisées dans la cybersécurité et l'analyse de données. Le marché devrait continuer à se développer à mesure que les entreprises cherchent à se protéger contre l'évolution des tactiques de fraude.

Taille du marché de la détection des fraudes et de la surveillance des transactions

Français Le marché des transactions de détection de fraude au Moyen-Orient et en Afrique devrait atteindre une valeur de 8,25 milliards USD d'ici 2031, contre 1,84 milliard USD en 2023, avec un TCAC de 20,7 % au cours de la période de prévision 2024 à 2031. En plus des informations sur le marché telles que la valeur du marché, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse PESTLE.

Tendances du marché de la détection des fraudes et de la surveillance des transactions

« Intégration du Big Data »

L’intégration du Big Data dans la détection des fraudes permet aux entreprises d’analyser de vastes ensembles de données provenant de diverses sources, ce qui leur permet d’identifier des modèles suggérant des activités frauduleuses. En utilisant l’analyse du Big Data, les entreprises peuvent découvrir des informations cachées que les méthodes traditionnelles pourraient manquer. L’analyse prédictive améliore cette capacité en utilisant des données historiques pour anticiper les comportements frauduleux potentiels avant qu’ils ne se produisent. Cette tendance améliore non seulement les taux de détection, mais permet également aux entreprises de mettre en œuvre des mesures préventives. En fin de compte, l’exploitation du Big Data transforme la façon dont les entreprises abordent la prévention de la fraude, la rendant plus efficace et plus réactive.

Portée du rapport et segmentation du marché de la surveillance des transactions en matière de détection des fraudes

Rapport métrique

Détection de fraude Surveillance des transactions Informations clés sur le marché

Segments couverts

  • En offrant : Solution et Services
  • Par fonction : KYC/Intégration client, Gestion des dossiers, Contrôle des listes de surveillance, Tableau de bord et rapports, et autres
  • Par déploiement : sur site et dans le cloud
  • Par taille d'organisation : organisations de grande taille et organisations de petite et moyenne taille
  • Par application : détection de fraude aux paiements, détection de blanchiment d'argent, protection contre la prise de contrôle de compte, prévention du vol d'identité et autres
  • Par secteur d'activité : Banque, services financiers et assurances (BFSI), vente au détail, informatique et télécommunications, gouvernement et défense, soins de santé, fabrication, énergie et services publics et autres

Pays couverts

Émirats arabes unis, Arabie saoudite, Afrique du Sud, Égypte, Israël, Oman, Bahreïn, Koweït, Qatar et reste du Moyen-Orient et de l'Afrique

Principaux acteurs du marché

Amazon Web Services, Inc. (États-Unis), LexisNexis (filiale de Reed Elsevier) (États-Unis), Mastercard (États-Unis), TATA Consultancy Services Limited (Inde), Fiserv, Inc. (États-Unis), SAS Institute Inc. (États-Unis), ACI Worldwide (États-Unis), Oracle (États-Unis), NICE (Israël), FICO (États-Unis), SymphonyAI (États-Unis), UBIQUITY (États-Unis), Verafin Solutions ULC (filiale de Nasdaq Inc.) (Canada), GB Group plc (« GBG ») (Royaume-Uni), Quantexa (Royaume-Uni), Sum and Substance Ltd (Royaume-Uni), Hawk (Allemagne), INETCO Systems Ltd. (Canada) et Seon Technologies Ltd. (Hongrie) entre autres

Opportunités de marché

  • Utilisation de l'IA et des algorithmes d'apprentissage automatique pour améliorer la précision
  • Collaborer avec des entreprises Fintech et des fournisseurs de technologie

Données à valeur ajoutée

En plus des informations sur le marché telles que la valeur marchande, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse PESTLE.

Définition du marché de la détection des fraudes et de la surveillance des transactions

La détection des fraudes et la surveillance des transactions font référence aux systèmes et processus utilisés par les institutions financières et les entreprises pour identifier et prévenir les activités frauduleuses dans le cadre des transactions. Ces systèmes analysent en permanence les données des transactions pour détecter des modèles ou des comportements inhabituels pouvant indiquer une fraude, tels qu'un accès non autorisé, un blanchiment d'argent ou un vol d'identité. Le marché des solutions de détection des fraudes et de surveillance des transactions est stimulé par le volume croissant des transactions en ligne, la complexité des tactiques de fraude et les exigences réglementaires strictes visant à réduire les délits financiers. Les organisations déploient des technologies avancées telles que l'IA, l'apprentissage automatique et l'analyse en temps réel pour améliorer la précision et l'efficacité de l'identification des activités frauduleuses, garantir la conformité et protéger les actifs.

Détection de fraude Surveillance des transactions Dynamique du marché

Conducteurs

  • Rising need for Robust Detection Systems that can Adapt to New Threats

As financial fraud schemes continue to evolve and become more sophisticated, there is a rising need for robust fraud detection systems that can effectively adapt to new threats. Traditional fraud detection methods often struggle to keep pace with the rapid changes in fraud tactics, making it essential for financial institutions and businesses to implement advanced detection systems. These systems need to leverage cutting-edge technologies such as artificial intelligence and machine learning to analyze large volumes of transaction data in real time, identifying patterns and anomalies that may indicate fraudulent activity.

For Instances,

In February 2024, according blog published by the Bill & Melinda Gates Foundation, Tazama, a new open-source fraud detection software, was launched to help monitor financial transactions for fraud and money laundering. This software aims to support financial inclusion by providing a cost-effective solution for low- and middle-income countries, which often struggle with expensive commercial fraud protection systems. Tazama allows central banks and financial institutions to protect their customers better and ensure transaction integrity. The software's open-source nature enables global collaboration to improve its capabilities, addressing the rising need for robust detection systems that adapt to evolving threats.

  • Increased Focus on Identity Verification and Authentication

Heightened emphasis on identity verification and authentication is transforming the landscape of fraud detection and transaction monitoring. By incorporating advanced technologies such as biometric authentication, multi-factor verification, and AI-driven identity analysis, financial institutions can more accurately verify user identities and detect fraudulent activities. This robust approach helps mitigate risks associated with unauthorized access and fraudulent transactions, enhancing the overall security and reliability of financial systems. As identity verification technologies evolve, they will play a crucial role in strengthening fraud detection mechanisms and ensuring the integrity of transaction monitoring processes.

For instance,

In November 2023, Westpac NZ adopted advanced biometrics software from Israel-based cybersecurity company BioCatch to enhance its fraud detection systems. The technology analyzed customers' online behavior, such as typing speed and touch screen pressure, to detect unusual activities and prevent fraud. Westpac began implementing BioCatch in September, with plans for full operation by the end of the month. The bank reported preventing tens of millions of dollars in fraud over the past year, highlighting its increased focus on identity verification and authentication as scams grow more sophisticated.

Opportunities

  • Utilizing AI and Machine Learning Algorithms to Enhance Accuracy

Leveraging AI and machine learning algorithms significantly improves the accuracy of fraud detection and transaction monitoring. These technologies enable systems to analyze vast amounts of data in real time, identifying complex patterns and anomalies that traditional methods might miss. By continuously learning from new data, AI algorithms adapt and refine their detection capabilities, reducing false positives and improving the precision of fraud alerts.

Moreover, AI and machine learning enhance the ability to recognize emerging fraud trends and sophisticated schemes. This dynamic adaptability ensures that monitoring systems stay ahead of evolving threats, providing more reliable and effective protection against financial crimes. As a result, financial institutions can achieve a higher level of security and operational efficiency, benefiting from advanced, automated solutions that scale with their needs.

For instance,

In June 2023, Oscilar launched its AI-powered ACH Fraud Detection solution, designed to enhance the accuracy of fraud prevention in the rapidly expanding ACH Network. The solution utilizes advanced machine learning algorithms and generative AI to identify and prevent fraudulent transactions with high precision. This is particularly important as ACH credit fraud increased by 6% from 2021 to 2023, highlighting the need for more effective fraud detection. Oscilar’s technology addresses the limitations of traditional methods, which often struggle to keep pace with evolving fraud tactics, offering a more robust and timely defense against sophisticated fraudulent activities.

  • Collaborating with Fintech Companies and Technology Providers

Collaborating with fintech companies and technology providers allows financial institutions to leverage advanced technologies and innovative solutions for enhanced fraud detection. These partnerships enable the integration of cutting-edge tools and expertise, facilitating the development of more sophisticated fraud detection systems. By working together, banks and fintech firms can harness the latest advancements in AI, machine learning, and data analytics to improve accuracy, reduce false positives, and better protect against fraudulent activities.

For instance,

In December 2023, Treasury Prime partnered with Effectiv to enhance fraud detection for banks and fintechs. The collaboration allows Treasury Prime’s network to use Effectiv's advanced Transaction Monitoring solution, which employs AI to identify and mitigate fraudulent transactions in real time. This partnership helps financial institutions reduce financial losses and reputational damage by integrating sophisticated fraud prevention tools. The move underscores the importance of collaborating with fintech companies and technology providers to strengthen fraud detection and risk management in a rapidly evolving financial landscape.

Restraint/Challenge

  • High Volume of Transactions Increases Detection Complexity

Managing a high volume of transactions presents significant challenges in fraud detection. As the number of transactions rises, so does the complexity of identifying fraudulent activities amidst legitimate ones. Traditional methods struggle to keep pace, often missing subtle patterns or generating false positives, leading to inefficiencies and increased risks.

Furthermore, the sheer volume of data requires robust systems capable of processing and analyzing information in real-time. Without advanced technology, financial institutions may find it difficult to effectively monitor transactions, leaving them vulnerable to sophisticated fraud schemes that can slip through the cracks.

For instances,

In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud.

  • High Initial Investment and Ongoing Maintenance Costs

High initial investment and ongoing maintenance costs present significant constraints for implementing advanced fraud detection systems. These financial burdens can deter smaller institutions from adopting cutting-edge technologies, potentially leaving them vulnerable to fraud. The substantial expenses associated with both the setup and continuous upkeep of such systems may strain budgets and complicate the decision-making process for institutions considering enhanced transaction monitoring solutions.

For Instances,

Several companies show significant initial investments and ongoing maintenance costs. GLAnalytics demands an annual fee of USD 8,000, while CertifID starts at USD 150 per month plus USD 10 per transaction. credolab’s modules range from USD 600 to USD 1,000 per month. These high expenses may deter organizations from adopting or sustaining these services.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Fraud Detection Transaction Monitoring Market Scope

Middle East and Africa fraud detection transaction monitoring market is segmented into six notable segments based on the offering, function, deployment mode, organization size, application, and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

  • Solution
  • Services
    • Professional Service
      • Support & Maintenance
      • Integration Services
      • Consulting Services
      • Training & Education
    • Managed Service

Function

  • KYC/Customer Onboarding
  • Case Management
  • Watch List Screening
  • Dashboard & Reporting
  • Others

Deployment Mode

  • On-Premise
  • Cloud

Organization Size

  • Small & Medium Sized Organization
    • Cloud
    • On-Premise
  • Large Size Organizations
    • Cloud
    • On-Premise

Application

  • Payment Fraud Detection
  • Money Laundering Detection
  • Account Takeover Protection
  • Identity Theft Prevention
  • Others

Vertical

  • Banking, Financial Services, and Insurance (BFSI)
    • Solution
    • Services
  • Retail
    • Solution
    • Services
  • IT & Telecommunication
    • Solution
    • Services
  • Government & Defense
    • Solution
    • Services
  •  Healthcare
    • Solution
    • Services
  • Manufacturing
    • Solution
    • Services
  • Energy & Utilities
    • Solution
    • Services
  • Others
    • Solution
    • Services

Fraud Detection Transaction Monitoring Market Regional Analysis

The market is analyzed and market size insights and trends are provided by offering, function, deployment mode, organization size, application, and vertical as referenced above.

The countries covered in the market are U.A.E., Saudi Arabia, South Africa, Egypt, Israel, Oman, Bahrain, Kuwait, Qatar, and rest of Middle East and Africa.

U.A.E. dominates the Middle East and Africa fraud detection transaction monitoring market due to growing awareness among consumers about fraud risks.

The country section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as new sales, replacement sales, country demographics, regulatory acts, and import-export tariffs are some of the major pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Middle East and Africa brands and their challenges faced due to large or scarce competition from local and domestic brands, and the impact of sales channels are considered while providing forecast analysis of the country data.

Fraud Detection Transaction Monitoring Market Share

Middle East and Africa fraud detection transaction monitoring market competitive landscape provides details of competitors. Details included are company overview, company financials, revenue generated, market potential, investment in R&D, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product approvals, product width and breadth, application dominance, and product type lifeline curve. The above data points provided are only related to the company’s focus on the market.

Fraud Detection Transaction Monitoring Market Leaders Operating in the Market are:

  • Amazon Web Services, Inc. (U.S.)
  • LexisNexis (Subsidiary of Reed Elsevier) (U.S.)
  • Mastercard (U.S.)
  • TATA Consultancy Services Limited (India)
  • Fiserv, Inc. (U.S.)
  • SAS Institute Inc. (U.S.)
  • ACI Worldwide (U.S.)
  • Oracle (U.S.)
  • NICE (Israel)
  • FICO (U.S.)
  • SymphonyAI (U.S.)
  • UBIQUITY (U.S)
  • Verafin Solutions ULC (Subsidiary of Nasdaq Inc.) (Canada)
  • GB Group plc (‘GBG’) (U.K.)
  • Quantexa (U.K.)
  • Sum and Substance Ltd (U.K.)
  • Hawk (Germany)
  • INETCO Systems Ltd. (Canada)
  • Seon Technologies Ltd. (Hungary)

Latest Developments in Fraud Detection Transaction Monitoring Market

  • In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud
  • In July 2023, according to the blog published by BluEnt, companies faced increased challenges in fraud detection due to the high volume of transactions. Advanced technology and automated systems were adopted to analyze large datasets and spot high-risk trends and anomalies. Despite difficulties managing unstructured data where most fraud occurs, financial crime data analytics enabled the effective review of both structured and unstructured data. This approach helped in preventing fraudulent activities and integrating various data sources for improved detection
  • In June 2024, ACI Worldwide and RS2 launched a comprehensive payment solution in Brazil, combining their acquiring and issuing technologies. This cloud-enabled platform allowed financial institutions and payment service providers to efficiently introduce new products and services, enhancing security and reducing costs. The integration of advanced fraud management and real-time analytics benefited the companies by expanding their market reach and increasing revenue opportunities
  • In October 2023, ACI Worldwide partnered with Nymcard to enhance its fraud and anti-money laundering capabilities. This partnership allowed Nymcard to quickly and efficiently detect and prevent financial fraud using advanced machine learning and analytics. The deployment via ACI’s public cloud improved scalability, security, and operational efficiency, significantly strengthening Nymcard’s market position in MENA
  • En juin 2024, DataVisor, Inc. a amélioré ses capacités de multi-location pour fournir des solutions de prévention de la fraude et de lutte contre le blanchiment d'argent évolutives, sécurisées et flexibles. La mise à niveau a permis aux organisations de personnaliser les stratégies de lutte contre la fraude et le blanchiment d'argent et de les déployer sur des sous-locataires avec des fonctionnalités telles que des modèles d'apprentissage automatique et des règles métier. Ces améliorations ont aidé les banques sponsors à se conformer et ont permis aux grandes institutions financières de centraliser les données tout en offrant une prise de décision en sous-location. Ce développement a profité à DataVisor en renforçant sa position sur le marché et en augmentant l'adoption de ses solutions parmi les institutions bancaires et financières, augmentant ainsi la satisfaction et la fidélisation des clients


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Demande de démonstration

Table des matières

1 INTRODUCTION

1.1 OBJECTIVES OF THE STUDY

1.2 MARKET DEFINITION

1.3 OVERVIEW OF MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET

1.4 CURRENCY AND PRICING

1.5 LIMITATIONS

1.6 MARKETS COVERED

2 MARKET SEGMENTATION

2.1 MARKETS COVERED

2.2 GEOGRAPHICAL SCOPE

2.3 YEARS CONSIDERED FOR THE STUDY

2.4 DBMR TRIPOD DATA VALIDATION MODEL

2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS

2.6 DBMR MARKET POSITION GRID

2.7 VENDOR SHARE ANALYSIS

2.8 MULTIVARIATE MODELING

2.9 OFFERING TIMELINE CURVE

2.1 MARKET APPLICATION COVERAGE GRID

2.11 SECONDARY SOURCES

2.12 ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

4.1 PORTER’S FIVE FORCES

4.2 REGULATORY STANDARDS

4.3 TECHNOLOGICAL TRENDS

4.4 CASE STUDY

4.5 PRICING ANALYSIS

4.6 VALUE CHAIN FOR MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET

5 MARKET OVERVIEW

5.1 DRIVERS

5.1.1 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS

5.1.2 INCREASED FOCUS ON IDENTITY VERIFICATION AND AUTHENTICATION

5.1.3 GROWING AWARENESS AMONG CONSUMERS ABOUT FRAUD RISKS

5.1.4 INCREASING DEMAND FOR REAL-TIME TRANSACTION MONITORING ACROSS BFSI SECTOR

5.2 RESTRAINTS

5.2.1 HIGH INITIAL INVESTMENT AND ONGOING MAINTENANCE COSTS

5.2.2 ENSURING COMPLIANCE WITH CUSTOMER DATA PRIVACY

5.3 OPPORTUNITIES

5.3.1 UTILIZING AI AND MACHINE LEARNING ALGORITHMS TO ENHANCE ACCURACY

5.3.2 COLLABORATING WITH FINTECH COMPANIES AND TECHNOLOGY PROVIDERS

5.3.3 STREAMLINING FRAUD DETECTION THROUGH AUTOMATION CAN MINIMIZE LABOR COSTS

5.4 CHALLENGES

5.4.1 HIGH VOLUME OF TRANSACTIONS INCREASES DETECTION COMPLEXITY

5.4.2 DIFFICULTY IN ENSURING REGULATORY ALIGNMENT GLOBALLY

6 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING

6.1 OVERVIEW

6.2 SOLUTION

6.3 SERVICES

6.3.1 PROFESSIONAL SERVICES

6.3.1.1 SUPPORT & MAINTENANCE

6.3.1.2 INTEGRATION SERVICES

6.3.1.3 CONSULTING SERVICES

6.3.1.4 TRAINING & EDUCATION

7 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION

7.1 OVERVIEW

7.2 KYC/CUSTOMER ONBOARDING

7.3 CASE MANAGEMENT

7.4 WATCH LIST SCREENING

7.5 DASHBOARD & REPORTING

7.6 OTHERS

8 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE

8.1 OVERVIEW

8.2 CLOUD

8.3 ON-PREMISE

9 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE

9.1 OVERVIEW

9.2 LARGE SIZE ORGANIZATIONS

9.2.1 CLOUD

9.2.2 ON-PREMISE

9.3 SMALL AND MEDIUM SIZED ORGANIZATIONS

9.3.1 CLOUD

9.3.2 ON-PREMISE

10 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION

10.1 OVERVIEW

10.2 PAYMENT FRAUD DETECTION

10.3 MONEY LAUNDERING DETECTION

10.4 ACCOUNT TAKEOVER PROTECTION

10.5 IDENTITY THEFT PREVENTION

10.6 OTHERS

11 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL

11.1 OVERVIEW

11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)

11.2.1 SOLUTION

11.2.2 SERVICES

11.3 RETAIL

11.3.1 SOLUTION

11.3.2 SERVICES

11.4 IT & TELECOMMUNICATION

11.4.1 SOLUTION

11.4.2 SERVICES

11.5 GOVERNMENT & DEFENSE

11.5.1 SOLUTION

11.5.2 SERVICES

11.6 HEALTHCARE

11.6.1 SOLUTION

11.6.2 SERVICES

11.7 MANUFACTURING

11.7.1 SOLUTION

11.7.2 SERVICES

11.8 ENERGY & UTILITIES

11.8.1 SOLUTION

11.8.2 SERVICES

11.9 OTHERS

11.9.1 SOLUTION

11.9.2 SERVICES

12 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION

12.1 MIDDLE EAST & AFRICA

12.1.1 U.A.E.

12.1.2 SAUDI ARABIA

12.1.3 SOUTH AFRICA

12.1.4 EGYPT

12.1.5 ISRAEL

12.1.6 OMAN

12.1.7 BAHRAIN

12.1.8 KUWAIT

12.1.9 QATAR

12.1.10 REST OF MIDDLE EAST AND AFRICA

13 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, COMPANY LANDSCAPE

13.1 COMPANY SHARE ANALYSIS: MIDDLE EAST AND AFRICA

14 SWOT ANALYSIS

15 COMPANY PROFILE

15.1 AMAZON WEB SERVICES, INC.

15.1.1 COMPANY SNAPSHOT

15.1.2 REVENUE ANALYSIS

15.1.3 COMPANY SHARE ANALYSIS

15.1.4 SERVICE PORTFOLIO

15.1.5 RECENT DEVELOPMENTS

15.2 LEXISNEXIS (SUBSIDIARY OF REED ELSEVIER)

15.2.1 COMPANY SNAPSHOT

15.2.2 COMPANY SHARE ANALYSIS

15.2.3 SOLUTION PORTFOLIO

15.2.4 RECENT DEVELOPMENTS

15.3 MASTERCARD

15.3.1 COMPANY SNAPSHOT

15.3.2 REVENUE ANALYSIS

15.3.3 COMPANY SHARE ANALYSIS

15.3.4 SOLUTION PORTFOLIO

15.3.5 RECENT DEVELOPMENTS

15.4 TATA CONSULTANCY SERVICES LIMITED

15.4.1 COMPANY SNAPSHOT

15.4.2 REVENUE ANALYSIS

15.4.3 COMPANY SHARE ANALYSIS

15.4.4 SOLUTION PORTFOLIO

15.4.5 RECENT DEVELOPMENTS

15.5 FISERV, INC.

15.5.1 COMPANY SNAPSHOT

15.5.2 REVENUE ANALYSIS

15.5.3 COMPANY SHARE ANALYSIS

15.5.4 SOLUTION PORTFOLIO

15.5.5 RECENT DEVELOPMENTS

15.6 ABRA INNOVATIONS, INC

15.6.1 COMPANY SNAPSHOT

15.6.2 PRODUCT PORTFOLIO

15.6.3 RECENT DEVELOPMENTS

15.7 ACI WORLDWIDE

15.7.1 COMPANY SNAPSHOT

15.7.2 REVENUE ANALYSIS

15.7.3 SOLUTION PORTFOLIO

15.7.4 RECENT DEVELOPMENTS

15.8 DATAVISOR, INC.

15.8.1 COMPANY SNAPSHOT

15.8.2 SOLUTION PORTFOLIO

15.8.3 RECENT DEVELOPMENTS

15.9 FEATURESPACE LIMITED

15.9.1 COMPANY SNAPSHOT

15.9.2 SOLUTION PORTFOLIO

15.9.3 RECENT DEVELOPMENTS

15.1 FEEDZAI

15.10.1 COMPANY SNAPSHOT

15.10.2 SOLUTION PORTFOLIO

15.10.3 RECENT DEVELOPMENTS

15.11 FICO

15.11.1 COMPANY SNAPSHOT

15.11.2 REVENUE ANALYSIS

15.11.3 SOLUTION PORTFOLIO

15.11.4 RECENT DEVELOPMENT

15.12 GB GROUP PLC (‘GBG’)

15.12.1 COMPANY SNAPSHOT

15.12.2 REVENUE ANALYSIS

15.12.3 PRODUCT PORTFOLIO

15.12.4 RECENT DEVELOPMENTS

15.13 HAWK

15.13.1 COMPANY SNAPSHOT

15.13.2 PRODUCT PORTFOLIO

15.13.3 RECENT DEVELOPMENTS

15.14 INETCO SYSTEMS LTD.

15.14.1 COMPANY SNAPSHOT

15.14.2 PRODUCT PORTFOLIO

15.14.3 RECENT DEVELOPMENTS

15.15 INFORM SOFTWARE

15.15.1 COMPANY SNAPSHOT

15.15.2 SOLUTION PORTFOLIO

15.15.3 RECENT DEVELOPMENTS

15.16 NICE

15.16.1 COMPANY SNAPSHOT

15.16.2 SOLUTION PORTFOLIO

15.16.3 RECENT DEVELOPMENTS

15.17 ORACLE

15.17.1 COMPANY SNAPSHOT

15.17.2 REVENUE ANALYSIS

15.17.3 SERVICE CATEGORY

15.17.4 RECENT DEVELOPMENTS

15.18 QUANTEXA

15.18.1 COMPANY SNAPSHOT

15.18.2 SOLUTION PORTFOLIO

15.18.3 RECENT DEVELOPMENTS

15.19 SANCTION SCANNER

15.19.1 COMPANY SNAPSHOT

15.19.2 PRODUCT PORTFOLIO

15.19.3 RECENT DEVELOPMENTS

15.2 SAS INSTITUTE INC

15.20.1 COMPANY SNAPSHOT

15.20.2 SOLUTION PORTFOLIO

15.20.3 RECENT DEVELOPMENT

15.21 SEON TECHNOLOGIES LTD.

15.21.1 COMPANY SNAPSHOT

15.21.2 PRODUCT PORTFOLIO

15.21.3 RECENT DEVELOPMENTS

15.22 SUM AND SUBSTANCE LTD (UK)

15.22.1 COMPANY SNAPSHOT

15.22.2 SOLUTION PORTFOLIO

15.22.3 RECENT DEVELOPMENTS

15.23 SYMPHONYAI

15.23.1 COMPANY SNAPSHOT

15.23.2 SOLUTION PORTFOLIO

15.23.3 RECENT DEVELOPMENTS

15.24 UBIQUITY

15.24.1 COMPANY SNAPSHOT

15.24.2 REVENUE ANALYSIS

15.24.3 SOLUTION PORTFOLIO

15.24.4 RECENT DEVELOPMENT

15.25 VERAFIN SOLUTIONS ULC (SUBSIDIARY OF NASDAQ INC.)

15.25.1 COMPANY SNAPSHOT

15.25.2 SOLUTION PORTFOLIO

15.25.3 RECENT DEVELOPMENTS

16 QUESTIONNAIRE

17 RELATED REPORTS

Liste des tableaux

TABLE 1 KEY PLAYERS OF FIUS AROUND THE GLOBE

TABLE 2 PRICING ANALYSIS FOR ENTERPRISES

TABLE 3 PRICING ANALYSIS (MEMCYCO AND OTHER COMPANIES)

TABLE 4 PRICING ANALYSIS (SEON AND ONDATO)

TABLE 5 U.S. STATE WISE ONLINE BANKING FRAUD

TABLE 6 FRAUD DETECTION AND VERIFICATION PRICE OFFERED BY PER COMPANY

TABLE 7 CONSUMER DATA PROTECTION ACT WORLD WIDE

TABLE 8 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 9 MIDDLE EAST AND AFRICA SOLUTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 10 MIDDLE EAST AND AFRICA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 11 MIDDLE EAST AND AFRICA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 12 MIDDLE EAST AND AFRICA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 13 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 14 MIDDLE EAST AND AFRICA KYC/CUSTOMER ONBOARDING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 15 MIDDLE EAST AND AFRICA CASE MANAGEMENT IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 16 MIDDLE EAST AND AFRICA WATCH LIST SCREENING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 17 MIDDLE EAST AND AFRICA DASHBOARD & REPORTING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 18 MIDDLE EAST AND AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 19 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 20 MIDDLE EAST AND AFRICA CLOUD IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 21 MIDDLE EAST AND AFRICA ON-PREMISE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 22 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 23 MIDDLE EAST AND AFRICA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 24 MIDDLE EAST AND AFRICA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 25 MIDDLE EAST AND AFRICA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 26 MIDDLE EAST AND AFRICA SMALL & MEDIUM SIZED ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 27 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 28 MIDDLE EAST AND AFRICA PAYMENT FRAUD DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 29 MIDDLE EAST AND AFRICA MONEY LAUNDERING DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 30 MIDDLE EAST AND AFRICA ACCOUNT TAKEOVER PROTECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 31 MIDDLE EAST AND AFRICA IDENTITY THEFT PREVENTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 32 MIDDLE EAST AND AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 33 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 34 MIDDLE EAST AND AFRICA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 35 MIDDLE EAST AND AFRICA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 36 MIDDLE EAST AND AFRICA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 37 MIDDLE EAST AND AFRICA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 38 MIDDLE EAST AND AFRICA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 39 MIDDLE EAST AND AFRICA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 40 MIDDLE EAST AND AFRICA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 41 MIDDLE EAST AND AFRICA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 42 MIDDLE EAST AND AFRICA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 43 MIDDLE EAST AND AFRICA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 44 MIDDLE EAST AND AFRICA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 45 MIDDLE EAST AND AFRICA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 46 MIDDLE EAST AND AFRICA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 47 MIDDLE EAST AND AFRICA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 48 MIDDLE EAST AND AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 49 MIDDLE EAST AND AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)

TABLE 50 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)

TABLE 51 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 52 MIDDLE EAST & AFRICA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 53 MIDDLE EAST & AFRICA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 54 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 55 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 56 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 57 MIDDLE EAST & AFRICA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 58 MIDDLE EAST & AFRICA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 59 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 60 MIDDLE EAST & AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 61 MIDDLE EAST & AFRICA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 62 MIDDLE EAST & AFRICA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 63 MIDDLE EAST & AFRICA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 64 MIDDLE EAST & AFRICA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 65 MIDDLE EAST & AFRICA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 66 MIDDLE EAST & AFRICA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 67 MIDDLE EAST & AFRICA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 68 MIDDLE EAST & AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 69 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 70 U.A.E. SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 71 U.A.E. PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 72 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 73 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 74 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 75 U.A.E. LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 76 U.A.E. SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 77 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 78 U.A.E. FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 79 U.A.E. BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 80 U.A.E. RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 81 U.A.E. IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 82 U.A.E. GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 83 U.A.E. HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 84 U.A.E. MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 85 U.A.E. ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 86 U.A.E. OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 87 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 88 SAUDI ARABIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 89 SAUDI ARABIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 90 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 91 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 92 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 93 SAUDI ARABIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 94 SAUDI ARABIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 95 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 96 SAUDI ARABIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 97 SAUDI ARABIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 98 SAUDI ARABIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 99 SAUDI ARABIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 100 SAUDI ARABIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 101 SAUDI ARABIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 102 SAUDI ARABIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 103 SAUDI ARABIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 104 SAUDI ARABIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 105 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 106 SOUTH AFRICA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 107 SOUTH AFRICA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 108 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 109 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 110 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 111 SOUTH AFRICA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 112 SOUTH AFRICA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 113 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 114 SOUTH AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 115 SOUTH AFRICA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 116 SOUTH AFRICA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 117 SOUTH AFRICA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 118 SOUTH AFRICA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 119 SOUTH AFRICA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 120 SOUTH AFRICA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 121 SOUTH AFRICA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 122 SOUTH AFRICA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 123 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 124 EGYPT SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 125 EGYPT PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 126 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 127 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 128 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 129 EGYPT LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 130 EGYPT SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 131 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 132 EGYPT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 133 EGYPT BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 134 EGYPT RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 135 EGYPT IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 136 EGYPT GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 137 EGYPT HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 138 EGYPT MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 139 EGYPT ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 140 EGYPT OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 141 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 142 ISRAEL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 143 ISRAEL PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 144 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 145 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 146 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 147 ISRAEL LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 148 ISRAEL SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 149 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 150 ISRAEL FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 151 ISRAEL BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 152 ISRAEL RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 153 ISRAEL IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 154 ISRAEL GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 155 ISRAEL HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 156 ISRAEL MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 157 ISRAEL ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 158 ISRAEL OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 159 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 160 OMAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 161 OMAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 162 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 163 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 164 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 165 OMAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 166 OMAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 167 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 168 OMAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 169 OMAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 170 OMAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 171 OMAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 172 OMAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 173 OMAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 174 OMAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 175 OMAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 176 OMAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 177 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 178 BAHRAIN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 179 BAHRAIN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 180 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 181 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 182 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 183 BAHRAIN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 184 BAHRAIN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 185 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 186 BAHRAIN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 187 BAHRAIN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 188 BAHRAIN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 189 BAHRAIN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 190 BAHRAIN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 191 BAHRAIN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 192 BAHRAIN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 193 BAHRAIN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 194 BAHRAIN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 195 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 196 KUWAIT SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 197 KUWAIT PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 198 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 199 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 200 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 201 KUWAIT LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 202 KUWAIT SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 203 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 204 KUWAIT FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 205 KUWAIT BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 206 KUWAIT RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 207 KUWAIT IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 208 KUWAIT GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 209 KUWAIT HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 210 KUWAIT MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 211 KUWAIT ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 212 KUWAIT OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 213 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 214 QATAR SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)

TABLE 215 QATAR PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)

TABLE 216 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)

TABLE 217 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 218 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)

TABLE 219 QATAR LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 220 QATAR SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)

TABLE 221 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)

TABLE 222 QATAR FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)

TABLE 223 QATAR BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 224 QATAR RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 225 QATAR IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 226 QATAR GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 227 QATAR HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 228 QATAR MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 229 QATAR ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 230 QATAR OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

TABLE 231 REST OF MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)

Liste des figures

FIGURE 1 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION

FIGURE 2 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: DATA TRIANGULATION

FIGURE 3 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: DROC ANALYSIS

FIGURE 4 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: MIDDLE EAST AND AFRICA VS REGIONAL MARKET ANALYSIS

FIGURE 5 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY RESEARCH ANALYSIS

FIGURE 6 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: INTERVIEW DEMOGRAPHICS

FIGURE 7 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: DBMR MARKET POSITION GRID

FIGURE 8 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: VENDOR SHARE ANALYSIS

FIGURE 9 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: MULTIVARIATE MODELING

FIGURE 10 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: OFFERING TIMELINE CURVE

FIGURE 11 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: MARKET APPLICATION COVERAGE GRID

FIGURE 12 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION

FIGURE 13 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET

FIGURE 14 TWO SEGMENTS COMPRISE THE MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING (2023)

FIGURE 15 STRATEGIC DECISIONS

FIGURE 16 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS IS EXPECTED TO DRIVE THE MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET DURING THE FORECAST PERIOD OF 2024 TO 2031

FIGURE 17 SOLUTION SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET IN 2024 & 2031

FIGURE 18 TYPE OF FINANCIAL INTELLIGENCE UNITS

FIGURE 19 TRADITIONAL SERVICE TRANSACTION VS BLOCKCHAIN BASED SERVICE TRANSACTION

FIGURE 20 VALUE CHAIN FOR FRAUD DETECTION TRANSACTION MONITORING MARKET

FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET

FIGURE 22 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY OFFERING, 2023

FIGURE 23 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY FUNCTION, 2023

FIGURE 24 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY DEPLOYMENT MODE, 2023

FIGURE 25 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY ORGANIZATION SIZE, 2023

FIGURE 26 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY APPLICATION, 2023

FIGURE 27 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: BY VERTICAL, 2023

FIGURE 28 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: SNAPSHOT 2023

FIGURE 29 MIDDLE EAST AND AFRICA FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY SHARE 2023 (%)

Voir les informations détaillées Right Arrow

Méthodologie de recherche

La collecte de données et l'analyse de l'année de base sont effectuées à l'aide de modules de collecte de données avec des échantillons de grande taille. L'étape consiste à obtenir des informations sur le marché ou des données connexes via diverses sources et stratégies. Elle comprend l'examen et la planification à l'avance de toutes les données acquises dans le passé. Elle englobe également l'examen des incohérences d'informations observées dans différentes sources d'informations. Les données de marché sont analysées et estimées à l'aide de modèles statistiques et cohérents de marché. De plus, l'analyse des parts de marché et l'analyse des tendances clés sont les principaux facteurs de succès du rapport de marché. Pour en savoir plus, veuillez demander un appel d'analyste ou déposer votre demande.

La méthodologie de recherche clé utilisée par l'équipe de recherche DBMR est la triangulation des données qui implique l'exploration de données, l'analyse de l'impact des variables de données sur le marché et la validation primaire (expert du secteur). Les modèles de données incluent la grille de positionnement des fournisseurs, l'analyse de la chronologie du marché, l'aperçu et le guide du marché, la grille de positionnement des entreprises, l'analyse des brevets, l'analyse des prix, l'analyse des parts de marché des entreprises, les normes de mesure, l'analyse globale par rapport à l'analyse régionale et des parts des fournisseurs. Pour en savoir plus sur la méthodologie de recherche, envoyez une demande pour parler à nos experts du secteur.

Personnalisation disponible

Data Bridge Market Research est un leader de la recherche formative avancée. Nous sommes fiers de fournir à nos clients existants et nouveaux des données et des analyses qui correspondent à leurs objectifs. Le rapport peut être personnalisé pour inclure une analyse des tendances des prix des marques cibles, une compréhension du marché pour d'autres pays (demandez la liste des pays), des données sur les résultats des essais cliniques, une revue de la littérature, une analyse du marché des produits remis à neuf et de la base de produits. L'analyse du marché des concurrents cibles peut être analysée à partir d'une analyse basée sur la technologie jusqu'à des stratégies de portefeuille de marché. Nous pouvons ajouter autant de concurrents que vous le souhaitez, dans le format et le style de données que vous recherchez. Notre équipe d'analystes peut également vous fournir des données sous forme de fichiers Excel bruts, de tableaux croisés dynamiques (Fact book) ou peut vous aider à créer des présentations à partir des ensembles de données disponibles dans le rapport.

Questions fréquemment posées

The Middle East and Africa Fraud Detection Transaction Monitoring Market size was valued at USD 1.8 billion in 2023.
The Middle East and Africa Fraud Detection Transaction Monitoring Market is projected to grow at a CAGR of 8.2% from 2024 to 2031.
Rising need for robust detection systems that can adapt to new threats, Increased focus on identity verification and authentication, growing awareness among consumers about fraud risks and Increasing demand for real-time transaction monitoring across BFSI sector are the major growth driving factors.
Amazon Web Services, Inc. (U.S.), LexisNexis (Subsidiary of Reed Elsevier) (U.S.), Mastercard (U.S.), TATA Consultancy Services Limited (India), Fiserv, Inc., (U.S.), SAS Institute Inc. (U.S.), ACI Worldwide (U.S.), Oracle (U.S.), NICE (Israel), FICO (U.S.), SymphonyAI (U.S.), UBIQUITY (U.S.), Verafin Solutions ULC (Subsidiary of Nasdaq Inc.) (Canada), GB Group plc (‘GBG’) (U.K.), INFORM SOFTWARE (U.S.), Quantexa (U.S.), Feedzai (U.S.), Sum and Substance LTD (UK), DataVisor, Inc. (U.S.), HAWK (Germany), Featurespace Limited (U.K.), INETCO Systems Ltd., (Canada) Abra Innovations Inc. (U.S.), Sanction Scanner (U.K.), and SEON Technologies Ltd. (Hungary) among others.
The countries covered in the market are Saudi Arabia, Latin Africa, Egypt, Bahrain, Oman, Israel, Kuwait, Qatar, U.A.E., and Rest of Middle East and Africa.