Relatório de análise do tamanho, quota e tendências do mercado de monitorização de transações de deteção de fraude no Médio Oriente e África – Visão geral do setor e previsão para 2031

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Relatório de análise do tamanho, quota e tendências do mercado de monitorização de transações de deteção de fraude no Médio Oriente e África – Visão geral do setor e previsão para 2031

  • ICT
  • Publish Reports
  • Sep 2024
  • MEA
  • 350 Páginas
  • Número de tabelas: 231
  • Número de figuras: 29

Middle East And Africa Fraud Detection Transaction Monitoring Market

Tamanho do mercado em biliões de dólares

CAGR :  % Diagram

Diagram Período de previsão
2024 –2031
Diagram Tamanho do mercado (ano base )
USD 1.84 Billion
Diagram Tamanho do mercado ( Ano de previsão)
USD 8.25 Billion
Diagram CAGR
%
Diagram Principais participantes do mercado
  • Manequim1
  • Manequim2
  • Manequim3
  • Manequim4
  • Manequim5

>Segmentação de mercado de monitorização de transações de deteção de fraude no Médio Oriente e África , por oferta (solução e serviços), função (KYC/onboarding de clientes, gestão de casos, triagem de lista de observação, painel e relatórios, entre outros) , implementação (on-site e cloud), Tamanho da organização (organizações de grande dimensão e organizações de pequena e média dimensão), aplicação (deteção de fraude de pagamento, deteção de branqueamento de capitais , proteção contra roubo de contas, prevenção de roubo de identidade e outros), vertical (bancos, serviços financeiros e seguros (BFSI), retalho , TI e Telecomunicações, Governo e Defesa, Saúde, Manufatura, Energia e Serviços Públicos e outros) - Tendências e previsões do setor para 2031.

Mercado de monitorização de transações de deteção de fraude

Análise de mercado de monitorização de transações de deteção de fraude

O mercado de monitorização de transações de deteção de fraude no Médio Oriente e em África está a registar um crescimento robusto devido ao aumento das transações financeiras e às ameaças cibernéticas sofisticadas. Tecnologias avançadas como a IA e a aprendizagem automática estão a ser integradas para aumentar a precisão da deteção de fraudes e reduzir os falsos positivos. As pressões regulamentares e a necessidade de conformidade estão a impulsionar a adoção em todos os setores. Os principais players do mercado incluem empresas especializadas em cibersegurança e análise de dados. Espera-se que o mercado continue a expandir-se à medida que as empresas procuram proteger-se da evolução das táticas de fraude.

Tamanho do mercado de monitorização de transações de deteção de fraude

Middle East and Africa fraud detection transaction market is expected to reach a value of USD 8.25 billion by 2031 from 1.84 billion in 2023, growing at a CAGR of 20.7% during the forecast period 2024 to 2031. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and PESTLE análise.

Tendências de mercado de monitorização de transações de deteção de fraude

'Integração de Big Data'

A integração de big data na deteção de fraude permite às organizações analisar extensos conjuntos de dados de diversas fontes, permitindo-lhes identificar padrões que sugerem atividades fraudulentas. Ao empregar análises de big data, as empresas podem descobrir insights ocultos que os métodos tradicionais podem perder. A análise preditiva melhora esta funcionalidade utilizando dados históricos para antecipar possíveis comportamentos fraudulentos antes que estes ocorram. Esta tendência não só melhora as taxas de deteção, como também permite às organizações implementar medidas preventivas. Em última análise, o aproveitamento do big data transforma a forma como as empresas abordam a prevenção da fraude, tornando-a mais eficaz e ágil.

Segmentação de mercado de monitorização de transações de deteção de fraude e âmbito do relatório

Métrica de reporte

Principais insights do mercado de monitorização de transações de deteção de fraude

Segmentos cobertos

  • Ao oferecer : soluções e serviços
  • Por função : KYC/integração do cliente, gestão de casos, triagem de lista de observação, dashboard e relatórios e outros
  • Por implantação : no local e na nuvem
  • Por dimensão da organização : organizações de grande dimensão e organizações de pequena e média dimensão
  • Por aplicação : deteção de fraude de pagamento, deteção de branqueamento de capitais, proteção contra controlo de conta, prevenção contra roubo de identidade e outros
  • Por vertical : banca, serviços financeiros e seguros (BFSI), retalho, TI e telecomunicações, governo e defesa, saúde, manufatura, energia e serviços públicos e outros

Países abrangidos

Emirados Árabes Unidos, Arábia Saudita, África do Sul, Egito, Israel, Omã, Bahrein, Kuwait, Qatar e resto do Médio Oriente e África

Principais participantes do mercado

(EUA), LexisNexis (subsidiária da Reed Elsevier) (EUA), Mastercard (EUA), TATA Consultancy Services Limited (Índia), Fiserv, Inc. ACI Worldwide (EUA), Oracle (EUA), NICE (Israel), FICO ( EUA), SymphonyAI (EUA), UBIQUITY (EUA), Verafin Solutions ULC (subsidiária da Nasdaq Inc.) (Canadá), GB Group plc (‘ GBG’) (Reino Unido), Quantexa (Reino Unido), Sum and Substance Ltd (Reino Unido), Hawk (Alemanha), INETCO Systems Ltd.

Oportunidades de mercado

  • Utilizando algoritmos de IA e aprendizagem automática para aumentar a precisão
  • Colaborar com empresas Fintech e fornecedores de tecnologia

Dados de valor acrescentado

Além dos insights de mercado, tais como o valor de mercado, a taxa de crescimento, os segmentos de mercado, a cobertura geográfica, os participantes do mercado e o cenário de mercado, o relatório de mercado com curadoria da equipa de pesquisa de mercado da Data Bridge inclui uma análise especializada aprofundada, análise de importação/exportação, análise de preços, análise de consumo de produção e análise PESTLE

Definição de mercado de monitorização de transações de deteção de fraude

A deteção de fraude e a monitorização de transações referem-se aos sistemas e processos utilizados pelas instituições financeiras e empresas para identificar e prevenir atividades fraudulentas nas transações. Estes sistemas analisam continuamente os dados das transações para detetar padrões ou comportamentos invulgares que possam indicar fraude, como acesso não autorizado, branqueamento de capitais ou roubo de identidade. O mercado de soluções de deteção de fraude e monitorização de transações é impulsionado pelo volume crescente de transações online, pela complexidade das táticas de fraude e por requisitos regulamentares rigorosos destinados a reduzir os crimes financeiros. As organizações implementam tecnologias avançadas, como a IA, a aprendizagem automática e a análise em tempo real, para aumentar a precisão e a eficiência na identificação de atividades fraudulentas, garantindo a conformidade e protegendo os ativos.

Dinâmica do mercado de monitorização de transações de deteção de fraude

Motoristas

  • 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

Gerir um grande volume de transações apresenta desafios significativos na deteção de fraudes. À medida que o número de transações aumenta, aumenta também a complexidade de identificar atividades fraudulentas entre atividades legítimas. Os métodos tradicionais lutam para acompanhar o ritmo, muitas vezes ignorando padrões subtis ou gerando falsos positivos, levando a ineficiências e riscos acrescidos.

Além disso, o grande volume de dados exige sistemas robustos, capazes de processar e analisar informação em tempo real. Sem tecnologia avançada, as instituições financeiras poderão ter dificuldade em monitorizar eficazmente as transacções, deixando-as vulneráveis ​​a esquemas de fraude sofisticados que podem passar despercebidos.

Por exemplo,

Em junho de 2024, de acordo com um artigo publicado pela NVIDIA Corporation, a American Express acelerou a deteção de fraudes utilizando modelos de memória de longo curto prazo (LSTM) alimentados por IA. Ao tirar partido da computação paralela em GPUs, a empresa processou e analisou rapidamente grandes quantidades de dados transacionais, permitindo a deteção de fraudes em tempo real. Esta abordagem ajudou a American Express a lidar com as complexidades decorrentes do seu elevado volume de transações. A integração da computação acelerada e da IA ​​​​melhorou a sua capacidade de detetar anomalias rapidamente, melhorando a eficiência operacional e reduzindo potenciais perdas devido a fraude.

  • Elevado investimento inicial e custos de manutenção contínua

O elevado investimento inicial e os custos de manutenção contínuos apresentam restrições significativas à implementação de sistemas avançados de deteção de fraude. Estes encargos financeiros podem dissuadir as instituições mais pequenas de adotar tecnologias de ponta, deixando-as potencialmente vulneráveis ​​à fraude. As despesas substanciais associadas à instalação e à manutenção contínua de tais sistemas podem sobrecarregar os orçamentos e complicar o processo de tomada de decisão para as instituições que considerem soluções melhoradas de monitorização de transacções.

Por exemplo,

Várias empresas apresentam investimentos iniciais significativos e custos de manutenção contínuos. A GLAnalytics exige uma taxa anual de 8.000 dólares, enquanto a CertifID começa nos 150 dólares por mês, mais 10 dólares por transação. Os módulos do credolab variam entre os 600 e os 1.000 dólares por mês. Estas despesas elevadas podem dissuadir as organizações de adoptar ou manter estes serviços.

Este relatório de mercado fornece detalhes dos novos desenvolvimentos recentes, regulamentos comerciais, análise de importação-exportação, análise de produção, otimização da cadeia de valor, quota de mercado, impacto dos participantes do mercado doméstico e localizado, analisa as oportunidades em termos de bolsas de receitas emergentes, alterações nas regulamentações do mercado, análise estratégica do crescimento do mercado, tamanho do mercado, crescimento do mercado da categoria, nichos de aplicação e domínio, aprovações de produtos, lançamentos de produtos, expansões geográficas, inovações tecnológicas no mercado. Para mais informações sobre o mercado, contacte a Data Bridge Market Research para obter um resumo do analista, a nossa equipa irá ajudá-lo a tomar uma decisão de mercado informada para alcançar o crescimento do mercado.

Escopo do mercado de monitorização de transações de deteção de fraude

O mercado de monitorização de transações de deteção de fraude no Médio Oriente e em África está segmentado em seis segmentos notáveis ​​com base na oferta, função, modo de implantação, tamanho da organização, aplicação e vertical. O crescimento entre estes segmentos irá ajudá-lo a analisar os escassos segmentos de crescimento nas indústrias e fornecer aos utilizadores uma valiosa visão geral do mercado e insights de mercado para os ajudar a tomar decisões estratégicas para identificar as principais aplicações do mercado.

Oferta

  • Solução
  • Serviços
    • Serviço Profissional
      • Suporte e Manutenção
      • Serviços de Integração
      • Serviços de consultoria
      • Formação e Educação
    • Serviço gerido

Função

  • KYC/integração do cliente
  • Gestão de Casos
  • Triagem da lista de observação
  • Painel e relatórios
  • Outros

Modo de implantação

  • No local
  • Nuvem

Tamanho da organização

  • Organização de pequena e média dimensão
    • Nuvem
    • No local
  • Organizações de grande dimensão
    • Nuvem
    • No local

Aplicação

  • Detecção de fraude de pagamento
  • Detecção de branqueamento de capitais
  • Proteção contra controlo de conta
  • Prevenção contra o roubo de identidade
  • Outros

Vertical

  • Bancos, Serviços Financeiros e Seguros (BFSI)
    • Solução
    • Serviços
  • Retalho
    • Solução
    • Serviços
  • Informática e Telecomunicações
    • Solução
    • Serviços
  • Governo e Defesa
    • Solução
    • Serviços
  •  Assistência médica
    • Solução
    • Serviços
  • Fabricação
    • Solução
    • Serviços
  • Energia e serviços públicos
    • Solução
    • Serviços
  • Outros
    • Solução
    • Serviços

Análise regional do mercado de monitorização de transações de deteção de fraude

O mercado é analisado e os insights e tendências do tamanho do mercado são fornecidos por oferta, função, modo de implantação, tamanho da organização, aplicação e vertical como mencionado acima.

Os países abrangidos no mercado são os Emirados Árabes Unidos, Arábia Saudita, África do Sul, Egito, Israel, Omã, Bahrein, Kuwait, Qatar e resto do Médio Oriente e África.

Os EAU dominam o mercado de monitorização de transacções de detecção de fraude no Médio Oriente e em África devido à crescente consciencialização entre os consumidores sobre os riscos de fraude.

A secção de países do relatório também fornece fatores individuais que impactam o mercado e alterações na regulamentação do mercado interno que impactam as tendências atuais e futuras do mercado. Dados como novas vendas, vendas de reposição, demografia do país, atos regulamentares e tarifas de importação e exportação são alguns dos principais indicadores utilizados para prever o cenário de mercado para países individuais. Além disso, são considerados a presença e disponibilidade de marcas do Médio Oriente e de África e os desafios enfrentados devido à concorrência grande ou escassa de marcas locais e nacionais, e o impacto dos canais de vendas, ao mesmo tempo que se fornece uma análise de previsão dos dados do país.

Participação no mercado de monitorização de transações de deteção de fraude

O cenário competitivo do mercado de monitorização de transações de deteção de fraude no Médio Oriente e em África fornece detalhes dos concorrentes. Os detalhes incluídos são a visão geral da empresa, finanças da empresa, receitas geradas, potencial de mercado, investimento em I&D, novas iniciativas de mercado, localizações e instalações de produção, pontos fortes e fracos da empresa, lançamento de produtos, aprovações de produtos, largura e amplitude do produto, domínio de aplicação e tipo de produto curva da linha de vida. Os dados fornecidos acima estão apenas relacionados com o foco da empresa no mercado.

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
  • Em junho de 2024, a DataVisor, Inc. melhorou as suas capacidades de multilocação para fornecer soluções escaláveis, seguras e flexíveis de prevenção de fraude e AML. A atualização permitiu às organizações personalizar estratégias contra fraude e AML e implementá-las em sublocatários com características como modelos de aprendizagem automática e regras de negócio. Estas melhorias apoiaram a conformidade dos bancos patrocinadores e permitiram que as grandes instituições financeiras centralizassem os dados, ao mesmo tempo que ofereciam a tomada de decisões de subarrendamento. Este desenvolvimento beneficiou a DataVisor ao reforçar a sua posição no mercado e aumentar a adoção das suas soluções entre instituições bancárias e financeiras, aumentando a satisfação e retenção dos clientes


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Pedido de demonstração

Índice

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

Lista de Tabela

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)

Lista de Figura

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 (%)

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Metodologia de Investigação

A recolha de dados e a análise do ano base são feitas através de módulos de recolha de dados com amostras grandes. A etapa inclui a obtenção de informações de mercado ou dados relacionados através de diversas fontes e estratégias. Inclui examinar e planear antecipadamente todos os dados adquiridos no passado. Da mesma forma, envolve o exame de inconsistências de informação observadas em diferentes fontes de informação. Os dados de mercado são analisados ​​e estimados utilizando modelos estatísticos e coerentes de mercado. Além disso, a análise da quota de mercado e a análise das principais tendências são os principais fatores de sucesso no relatório de mercado. Para saber mais, solicite uma chamada de analista ou abra a sua consulta.

A principal metodologia de investigação utilizada pela equipa de investigação do DBMR é a triangulação de dados que envolve a mineração de dados, a análise do impacto das variáveis ​​de dados no mercado e a validação primária (especialista do setor). Os modelos de dados incluem grelha de posicionamento de fornecedores, análise da linha de tempo do mercado, visão geral e guia de mercado, grelha de posicionamento da empresa, análise de patentes, análise de preços, análise da quota de mercado da empresa, normas de medição, análise global versus regional e de participação dos fornecedores. Para saber mais sobre a metodologia de investigação, faça uma consulta para falar com os nossos especialistas do setor.

Personalização disponível

A Data Bridge Market Research é líder em investigação formativa avançada. Orgulhamo-nos de servir os nossos clientes novos e existentes com dados e análises que correspondem e atendem aos seus objetivos. O relatório pode ser personalizado para incluir análise de tendências de preços de marcas-alvo, compreensão do mercado para países adicionais (solicite a lista de países), dados de resultados de ensaios clínicos, revisão de literatura, mercado remodelado e análise de base de produtos . A análise de mercado dos concorrentes-alvo pode ser analisada desde análises baseadas em tecnologia até estratégias de carteira de mercado. Podemos adicionar quantos concorrentes necessitar de dados no formato e estilo de dados que procura. A nossa equipa de analistas também pode fornecer dados em tabelas dinâmicas de ficheiros Excel em bruto (livro de factos) ou pode ajudá-lo a criar apresentações a partir dos conjuntos de dados disponíveis no relatório.

Perguntas frequentes

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.