Asia Pacific Fraud Detection Transaction Monitoring Market
Tamanho do mercado em biliões de dólares
CAGR :
% 
 Período de previsão |
2024 –2031 |
 Tamanho do mercado (ano base ) | USD 3.44 Billion |
 Tamanho do mercado ( Ano de previsão) | USD 15.80 Billion |
 CAGR |
% |
| Principais participantes do mercado |
>Segmentação de mercado de monitorização de transações de deteção de fraude da Ásia-Pacífico , por oferta (solução e serviços), função (KYC/onboarding do cliente, gestão de casos, triagem de lista de observação, painel e relatórios, entre outros), implementação (on-site e cloud), organização Tamanho (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 conta, 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.
Análise de mercado de monitorização de transações de deteção de fraude
O mercado de monitorização de transações de deteção de fraudes da Ásia-Pacífico 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
Prevê-se que o mercado de transações de deteção de fraude da Ásia-Pacífico atinja um valor de 15,80 mil milhões de dólares até 2031, face aos 3,44 mil milhões em 2023, crescendo a um CAGR de 21,1% durante o período de previsão de 2024 a 2031. Além dos insights de mercado, tais como o valor de mercado , taxa de crescimento, segmentos de mercado, cobertura geográfica, participantes do mercado e cenário de mercado, o relatório de mercado com curadoria da equipa de pesquisa de mercado da Data Bridge inclui análise especializada aprofundada, análise de importação/exportação, análise de preços, análise de consumo de produção e análise PESTLE .
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
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Métrica de reporte |
Principais insights do mercado para a monitorização de transações de deteção de fraude |
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Segmentos cobertos |
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Países abrangidos |
China, Japão, Índia, Coreia do Sul, Austrália, Nova Zelândia, Indonésia, Tailândia, Malásia, Singapura, Filipinas, Taiwan, Vietname e Resto da Ásia-Pacífico |
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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), Featurespace Limited (Inglaterra), INETCO Systems Ltd. Portugal) entre outros |
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Oportunidades de mercado |
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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
- Necessidade crescente de sistemas de deteção robustos que se possam adaptar a novas ameaças
À medida que os esquemas de fraude financeira continuam a evoluir e a tornar-se mais sofisticados, há uma necessidade crescente de sistemas de deteção de fraude robustos que se possam adaptar eficazmente a novas ameaças. Os métodos tradicionais de deteção de fraude lutam frequentemente para acompanhar as rápidas mudanças nas táticas de fraude, tornando essencial que as instituições financeiras e as empresas implementem sistemas de deteção avançados. Estes sistemas necessitam de aproveitar tecnologias de ponta, como a inteligência artificial e a aprendizagem automática, para analisar grandes volumes de dados de transações em tempo real, identificando padrões e anomalias que possam indicar atividades fraudulentas.
Por exemplo,
Em fevereiro de 2024, de acordo com o blogue publicado pela Fundação Bill & Melinda Gates, o Tazama, um novo software de deteção de fraude de código aberto, foi lançado para ajudar a monitorizar as transações financeiras em busca de fraude e branqueamento de capitais. Este software visa apoiar a inclusão financeira, fornecendo uma solução económica para os países de baixo e médio rendimento, que muitas vezes se debatem com sistemas dispendiosos de protecção contra fraudes comerciais. O Tazama permite aos bancos centrais e às instituições financeiras proteger melhor os seus clientes e garantir a integridade das transações. A natureza de código aberto do software permite a colaboração global para melhorar as suas capacidades, respondendo à crescente necessidade de sistemas de deteção robustos que se adaptem às ameaças em evolução.
- Maior foco na verificação e autenticação de identidade
A maior ênfase na verificação e autenticação de identidade está a transformar o panorama da deteção de fraudes e da monitorização de transações. Ao incorporar tecnologias avançadas, como a autenticação biométrica, a verificação multifatorial e a análise de identidade baseada em IA, as instituições financeiras podem verificar com maior precisão as identidades dos utilizadores e detetar atividades fraudulentas. Esta abordagem robusta ajuda a mitigar os riscos associados ao acesso não autorizado e às transações fraudulentas, melhorando a segurança e a fiabilidade globais dos sistemas financeiros. À medida que as tecnologias de verificação de identidade evoluem, desempenharão um papel crucial no reforço dos mecanismos de deteção de fraude e na garantia da integridade dos processos de monitorização de transações.
Por exemplo,
Em novembro de 2023, a Westpac NZ adotou software de biometria avançado da empresa de cibersegurança BioCatch, com sede em Israel, para melhorar os seus sistemas de deteção de fraude. A tecnologia analisou o comportamento online dos clientes, como a velocidade de digitação e a pressão no ecrã táctil, para detetar atividades incomuns e prevenir fraudes. A Westpac começou a implementar o BioCatch em setembro, com planos para funcionamento em pleno até ao final do mês. O banco informou ter evitado dezenas de milhões de dólares em fraudes no ano passado, destacando o seu crescente foco na verificação e autenticação de identidade à medida que as fraudes se tornam mais sofisticadas.
Oportunidades
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Utilizando algoritmos de IA e aprendizagem automática para aumentar a precisão
O aproveitamento de algoritmos de IA e de aprendizagem automática melhora significativamente a precisão da deteção de fraudes e da monitorização de transações. Estas tecnologias permitem que os sistemas analisem grandes quantidades de dados em tempo real, identificando padrões complexos e anomalias que os métodos tradicionais podem não perceber. Ao aprender continuamente com novos dados, os algoritmos de IA adaptam e refinam as suas capacidades de deteção, reduzindo os falsos positivos e melhorando a precisão dos alertas de fraude.
Além disso, a IA e a aprendizagem automática melhoram a capacidade de reconhecer tendências emergentes de fraude e esquemas sofisticados. Esta adaptabilidade dinâmica garante que os sistemas de monitorização se mantêm à frente das ameaças em evolução, proporcionando uma proteção mais fiável e eficaz contra crimes financeiros. Como resultado, as instituições financeiras podem alcançar um nível mais elevado de segurança e eficiência operacional, beneficiando de soluções avançadas e automatizadas que se adaptam às suas necessidades.
Por exemplo,
Em junho de 2023, a Oscilar lançou a sua solução ACH Fraud Detection alimentada por IA, concebida para aumentar a precisão da prevenção de fraude na rede ACH em rápida expansão. A solução utiliza algoritmos avançados de aprendizagem automática e IA generativa para identificar e prevenir transações fraudulentas com elevada precisão. Isto é particularmente importante porque a fraude de crédito ACH aumentou 6% entre 2021 e 2023, realçando a necessidade de uma deteção de fraude mais eficaz. A tecnologia da Oscilar aborda as limitações dos métodos tradicionais, que muitas vezes lutam para acompanhar a evolução das táticas de fraude, oferecendo uma defesa mais robusta e oportuna contra atividades fraudulentas sofisticadas.
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Colaborar com empresas Fintech e fornecedores de tecnologia
A colaboração com empresas fintech e fornecedores de tecnologia permite às instituições financeiras tirar partido de tecnologias avançadas e soluções inovadoras para melhorar a deteção de fraudes. Estas parcerias permitem a integração de ferramentas e conhecimentos de ponta, facilitando o desenvolvimento de sistemas de deteção de fraude mais sofisticados. Ao trabalharem em conjunto, os bancos e as empresas fintech podem tirar partido dos mais recentes avanços em IA, aprendizagem automática e análise de dados para melhorar a precisão, reduzir os falsos positivos e proteger melhor contra atividades fraudulentas.
Por exemplo,
Em dezembro de 2023, o Treasury Prime estabeleceu uma parceria com a Effectiv para melhorar a deteção de fraudes em bancos e fintechs. A colaboração permite que a rede do Treasury Prime utilize a solução avançada de monitorização de transações da Effectiv, que emprega IA para identificar e mitigar transações fraudulentas em tempo real. Esta parceria ajuda as instituições financeiras a reduzir as perdas financeiras e os danos de reputação, integrando ferramentas sofisticadas de prevenção de fraude. A medida sublinha a importância da colaboração com empresas fintech e fornecedores de tecnologia para reforçar a deteção de fraudes e a gestão de riscos num cenário financeiro em rápida evolução.
Restrição/Desafio
- 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
Asia Pacific 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
- Professional 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 China, Japan, India, South Korea, Australia, New Zealand, Indonesia, Thailand, Malaysia, Singapore, Philippines, Taiwan, Vietnam, and Rest of Asia-Pacific
China dominates the Asia Pacific fraud detection transaction monitoring market due to rising need for robust detection systems that can adapt to new threats.
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 Asia Pacific 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
The Asia-Pacific 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)
- Featurespace Limited (England)
- INETCO Systems Ltd. (Canada)
- Seon Technologies Ltd. (Hungary)
- Feedzai (Portugal)
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
- Em julho de 2023, segundo um blog publicado pela BluEnt, as empresas enfrentaram desafios crescentes na deteção de fraude devido ao elevado volume de transações. Foram adoptadas tecnologias avançadas e sistemas automatizados para analisar grandes conjuntos de dados e detectar tendências e anomalias de alto risco. Apesar das dificuldades de gestão de dados não estruturados onde ocorre a maior parte das fraudes, a análise de dados de crimes financeiros permitiu a revisão eficaz de dados estruturados e não estruturados. Esta abordagem ajudou a prevenir atividades fraudulentas e a integrar várias fontes de dados para melhorar a deteção
- Em junho de 2024, a ACI Worldwide e a RS2 lançaram uma solução de pagamentos abrangente no Brasil, combinando as suas tecnologias de aquisição e emissão. Esta plataforma habilitada para a cloud permitiu que as instituições financeiras e os fornecedores de serviços de pagamento introduzissem novos produtos e serviços de forma eficiente, aumentando a segurança e reduzindo os custos. A integração da gestão avançada de fraudes e da análise em tempo real beneficiou as empresas, alargando o seu alcance de mercado e aumentando as oportunidades de receitas
- Em outubro de 2023, a ACI Worldwide estabeleceu uma parceria com a Nymcard para melhorar as suas capacidades contra a fraude e o branqueamento de capitais. Esta parceria permitiu à Nymcard detetar e prevenir fraudes financeiras de forma rápida e eficiente, utilizando machine learning e análises avançadas. A implementação através da cloud pública da ACI melhorou a escalabilidade, a segurança e a eficiência operacional, reforçando significativamente a posição de mercado da Nymcard no 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
SKU-
Obtenha acesso online ao relatório sobre a primeira nuvem de inteligência de mercado do mundo
- Painel interativo de análise de dados
- Painel de análise da empresa para oportunidades de elevado potencial de crescimento
- Acesso de analista de pesquisa para personalização e customização. consultas
- Análise da concorrência com painel interativo
- Últimas notícias, atualizações e atualizações Análise de tendências
- Aproveite o poder da análise de benchmark para um rastreio abrangente da concorrência
Índice
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISE
9 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION
12.1 ASIA-PACIFIC
12.1.1 CHINA
12.1.2 JAPAN
12.1.3 INDIA
12.1.4 SOUTH KOREA
12.1.5 AUSTRALIA
12.1.6 NEW ZEALAND
12.1.7 INDONESIA
12.1.8 THAILAND
12.1.9 MALAYSIA
12.1.10 SINGAPORE
12.1.11 PHILIPPINES
12.1.12 TAIWAN
12.1.13 VIETNAM
12.1.14 REST OF ASIA PACIFIC
13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
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 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 9 ASIA-PACIFIC SOLUTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 10 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 11 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 12 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 14 ASIA-PACIFIC KYC/CUSTOMER ONBOARDING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 15 ASIA-PACIFIC CASE MANAGEMENT IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 16 ASIA-PACIFIC WATCH LIST SCREENING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 17 ASIA-PACIFIC DASHBOARD & REPORTING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 18 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 19 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 20 ASIA-PACIFIC CLOUD IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 21 ASIA-PACIFIC ON-PREMISE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 23 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 24 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 25 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 26 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 28 ASIA-PACIFIC PAYMENT FRAUD DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 29 ASIA-PACIFIC MONEY LAUNDERING DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 30 ASIA-PACIFIC ACCOUNT TAKEOVER PROTECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 31 ASIA-PACIFIC IDENTITY THEFT PREVENTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 32 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 33 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 34 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 35 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 36 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 37 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 38 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 39 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 40 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 41 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 42 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 43 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 44 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 45 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 46 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 47 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 48 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 49 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 50 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)
TABLE 51 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 52 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 53 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 54 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 55 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 56 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 57 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 58 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 59 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 60 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 61 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 62 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 63 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 64 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 65 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 66 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 67 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 68 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 69 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 70 CHINA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 71 CHINA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 72 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 73 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 74 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 75 CHINA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 76 CHINA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 77 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 78 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 79 CHINA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 80 CHINA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 81 CHINA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 82 CHINA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 83 CHINA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 84 CHINA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 85 CHINA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 86 CHINA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 87 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 88 JAPAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 89 JAPAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 90 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 91 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 92 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 93 JAPAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 94 JAPAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 95 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 96 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 97 JAPAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 98 JAPAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 99 JAPAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 100 JAPAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 101 JAPAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 102 JAPAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 103 JAPAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 104 JAPAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 105 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 106 INDIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 107 INDIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 108 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 109 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 110 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 111 INDIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 112 INDIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 113 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 114 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 115 INDIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 116 INDIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 117 INDIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 118 INDIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 119 INDIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 120 INDIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 121 INDIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 122 INDIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 123 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 124 SOUTH KOREA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 125 SOUTH KOREA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 126 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 127 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 128 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 129 SOUTH KOREA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 130 SOUTH KOREA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 131 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 132 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 133 SOUTH KOREA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 134 SOUTH KOREA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 135 SOUTH KOREA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 136 SOUTH KOREA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 137 SOUTH KOREA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 138 SOUTH KOREA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 139 SOUTH KOREA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 140 SOUTH KOREA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 141 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 142 AUSTRALIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 143 AUSTRALIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 144 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 145 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 146 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 147 AUSTRALIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 148 AUSTRALIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 149 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 150 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 151 AUSTRALIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 152 AUSTRALIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 153 AUSTRALIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 154 AUSTRALIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 155 AUSTRALIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 156 AUSTRALIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 157 AUSTRALIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 158 AUSTRALIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 159 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 160 NEW ZEALAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 161 NEW ZEALAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 162 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 163 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 164 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 165 NEW ZEALAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 166 NEW ZEALAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 167 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 168 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 169 NEW ZEALAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 170 NEW ZEALAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 171 NEW ZEALAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 172 NEW ZEALAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 173 NEW ZEALAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 174 NEW ZEALAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 175 NEW ZEALAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 176 NEW ZEALAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 177 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 178 INDONESIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 179 INDONESIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 180 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 181 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 182 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 183 INDONESIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 184 INDONESIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 185 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 186 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 187 INDONESIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 188 INDONESIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 189 INDONESIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 190 INDONESIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 191 INDONESIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 192 INDONESIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 193 INDONESIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 194 INDONESIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 195 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 196 THAILAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 197 THAILAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 198 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 199 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 200 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 201 THAILAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 202 THAILAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 203 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 204 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 205 THAILAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 206 THAILAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 207 THAILAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 208 THAILAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 209 THAILAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 210 THAILAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 211 THAILAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 212 THAILAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 213 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 214 MALAYSIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 215 MALAYSIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 216 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 217 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 218 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 219 MALAYSIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 220 MALAYSIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 221 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 222 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 223 MALAYSIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 224 MALAYSIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 225 MALAYSIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 226 MALAYSIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 227 MALAYSIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 228 MALAYSIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 229 MALAYSIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 230 MALAYSIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 231 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 232 SINGAPORE SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 233 SINGAPORE PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 234 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 235 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 236 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 237 SINGAPORE LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 238 SINGAPORE SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 239 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 240 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 241 SINGAPORE BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 242 SINGAPORE RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 243 SINGAPORE IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 244 SINGAPORE GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 245 SINGAPORE HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 246 SINGAPORE MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 247 SINGAPORE ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 248 SINGAPORE OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 249 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 250 PHILIPPINES SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 251 PHILIPPINES PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 252 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 253 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 254 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 255 PHILIPPINES LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 256 PHILIPPINES SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 257 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 258 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 259 PHILIPPINES BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 260 PHILIPPINES RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 261 PHILIPPINES IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 262 PHILIPPINES GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 263 PHILIPPINES HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 264 PHILIPPINES MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 265 PHILIPPINES ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 266 PHILIPPINES OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 267 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 268 TAIWAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 269 TAIWAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 270 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 271 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 272 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 273 TAIWAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 274 TAIWAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 275 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 276 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 277 TAIWAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 278 TAIWAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 279 TAIWAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 280 TAIWAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 281 TAIWAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 282 TAIWAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 283 TAIWAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 284 TAIWAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 285 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 286 VIETNAM SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 287 VIETNAM PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 288 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 289 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 290 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 291 VIETNAM LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 292 VIETNAM SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 293 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 294 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 295 VIETNAM BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 296 VIETNAM RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 297 VIETNAM IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 298 VIETNAM GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 299 VIETNAM HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 300 VIETNAM MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 301 VIETNAM ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 302 VIETNAM OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 303 REST OF ASIA PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
Lista de Figura
FIGURE 1 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 2 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DATA TRIANGULATION
FIGURE 3 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DROC ANALYSIS
FIGURE 4 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: ASIA-PACIFIC VS REGIONAL MARKET ANALYSIS
FIGURE 5 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DBMR MARKET POSITION GRID
FIGURE 8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MULTIVARIATE MODELING
FIGURE 10 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: OFFERING TIMELINE CURVE
FIGURE 11 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 12 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 14 TWO SEGMENTS COMPRISE THE ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY OFFERING, 2023
FIGURE 23 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY FUNCTION, 2023
FIGURE 24 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY DEPLOYMENT MODE, 2023
FIGURE 25 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY ORGANIZATION SIZE, 2023
FIGURE 26 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY APPLICATION, 2023
FIGURE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY VERTICAL, 2023
FIGURE 28 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SNAPSHOT 2023
FIGURE 29 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY SHARE 2023 (%)
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.
