Middle East And Africa Anti Money Laundering Market
Tamanho do mercado em biliões de dólares
CAGR : %
Período de previsão |
2024 –2031 |
Tamanho do mercado (ano base ) | USD 401.56 Million |
Tamanho do mercado ( Ano de previsão) | USD 1,091.79 Million |
CAGR |
|
Principais participantes do mercado |
>Segmentação do mercado anti-branqueamento de capitais no Médio Oriente e África, por oferta (soluções e serviços), função (gestão de conformidade, gestão de identidade do cliente, monitorização de transações, relatórios de transações monetárias e outros), implantação (cloud e local) , dimensão empresarial (Grandes e Pequenas e Médias Empresas), Utilização Final ( Bancos e Instituições Financeiras, Prestadores de Seguros, Governo, Jogos e Jogos de Azar e Outros) - Tendências e Previsões do Sector para 2031.
Análise de mercado contra o branqueamento de capitais
O mercado de combate ao branqueamento de capitais no Médio Oriente e em África tem registado um crescimento devido a um aumento da procura de sistemas de monitorização de transacções que avaliem os padrões de crimes financeiros. Este pode ser utilizado em diversas outras aplicações para deteção de crimes financeiros, como o financiamento do terrorismo, fraude, tráfico de droga, suborno, corrupção e roubo de identidade, que podem afetar significativamente a economia do país. Nos últimos tempos, as soluções AML estão a ganhar popularidade entre diversas instituições financeiras, tais como companhias de seguros, bancos comerciais, bancos na Internet, bancos de retalho, companhias de seguros e empresas hipotecárias, entre outras. Além disso, está a ganhar popularidade entre vários setores, como a indústria de jogos e apostas, indústria imobiliária, câmbio de moeda (MSB), indústria de pagamentos, indústria de investimento e organismos governamentais em todo o mundo.
Tamanho do mercado anti-branqueamento de capitais
A Data Bridge Market Research analisa que o mercado de combate ao branqueamento de capitais no Médio Oriente e em África deverá atingir os 1.091,79 milhões de dólares até 2031, face aos 401,56 milhões de dólares em 2023, crescendo com um CAGR de 13,5 % no período de previsão de 2024 a 2031.
Tendências do mercado anti-branqueamento de capitais
“Aumento dos esforços de deteção de crimes financeiros”
O aumento dos esforços de deteção de crimes financeiros intensificou o escrutínio das medidas de combate ao branqueamento de capitais (AML), concentrando-se na melhoria da conformidade e nas tendências dos sistemas de monitorização. As instituições financeiras estão a implementar procedimentos mais rigorosos para identificar transacções suspeitas e padrões indicativos de branqueamento de capitais. Estas medidas incluem o reforço dos controlos internos, a melhoria das práticas de comunicação de transações e o reforço da colaboração com os organismos reguladores. O impulso para uma maior transparência e responsabilização visa desmantelar as redes de crime financeiro e reduzir os fluxos financeiros ilícitos. Ao adotarem estruturas AML abrangentes, as organizações procuram mitigar os riscos e proteger a integridade do sistema financeiro. Esta abordagem proactiva reflecte um compromisso mais amplo no combate ao crime financeiro e na manutenção da conformidade regulamentar.
Âmbito do relatório e segmentação do mercado anti-branqueamento de capitais
Métrica de relatório |
Insights do mercado anti-branqueamento de capitais no Médio Oriente e em África |
Segmentos cobertos |
|
Países abrangidos |
África do Sul, Arábia Saudita, Egipto, Israel e resto do Médio Oriente e África |
Principais participantes do mercado |
BAE Systems, NICE, SAP SE, Open Text Corporation, ACI Worldwide, Accenture, Oracle, Cognizant, Intel Corporation e IBM, entre outros. |
Oportunidades de mercado |
|
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 do mercado de combate ao branqueamento de capitais no Médio Oriente e em África
As soluções Anti-Lavagem de Dinheiro (AML) são utilizadas para detetar e alertar as instituições sobre o branqueamento de capitais, financiamento do terrorismo, fraude, crime eletrónico, suborno e corrupção, evasão fiscal, peculato, segurança da informação, transações transfronteiriças ilegais, entre outros que impactam enormemente a economia do país e podem prejudicar a sua reputação. AML é um termo geralmente utilizado para descrever a luta contra o branqueamento de capitais e os crimes financeiros. As soluções contra o branqueamento de capitais (AML) cumprem diversas políticas, leis e regulamentos que ajudam na prevenção de crimes financeiros. Estas orientações, políticas e leis são definidas pelos reguladores locais presentes em todo o mundo, que visam reforçar o funcionamento das soluções AML.
Dinâmica do mercado de combate ao branqueamento de capitais no Médio Oriente e em África
Esta secção trata da compreensão dos impulsionadores do mercado, vantagens, oportunidades, restrições e desafios. Tudo isto é discutido em detalhe abaixo:
Motoristas
- Aumento dos esforços de deteção de crimes financeiros
O aumento dos esforços de deteção de crimes financeiros intensificou o escrutínio das medidas de combate ao branqueamento de capitais (AML), centrando-se na melhoria dos sistemas de conformidade e monitorização. As instituições financeiras estão a implementar procedimentos mais rigorosos para identificar transacções suspeitas e padrões indicativos de branqueamento de capitais. Estas medidas incluem o reforço dos controlos internos, a melhoria das práticas de comunicação de transações e o reforço da colaboração com os organismos reguladores. O impulso para uma maior transparência e responsabilização visa desmantelar as redes de crime financeiro e reduzir os fluxos financeiros ilícitos. Ao adotarem estruturas AML abrangentes, as organizações procuram mitigar os riscos e proteger a integridade do sistema financeiro.
Por exemplo,
- Em agosto de 2024, de acordo com o blogue Informa PLC, a ThetaRay, fornecedor israelita de monitorização de transações baseada em IA, adquiriu a fintech belga Screena. Oferece uma solução de triagem AML baseada em IA para instituições financeiras (IFs). Esta aquisição visa melhorar a capacidade da ThetaRay de fornecer uma visão abrangente dos riscos transacionais e de triagem de clientes. Apoia os esforços crescentes de deteção de crimes financeiros, incluindo atividades ilegais relacionadas com o jogo, e reforça a plataforma de deteção de crimes financeiros de ponta a ponta baseada na cloud da ThetaRay
- Aumento de regulamentos e conformidade rigorosas relacionadas com a AML
Um programa de conformidade contra o branqueamento de capitais é um conjunto de regulamentos ou regras que uma instituição financeira deve seguir para prevenir e detetar atividades de branqueamento de capitais e financiamento do terrorismo. O crime financeiro contra instituições financeiras, como bancos e cooperativas de crédito, aumentou recentemente. Houve um aumento de aproximadamente 50-60% nos casos de fraude financeira em 2019 em relação a 2018, e prevê-se que cresça nos próximos anos. As perdas sofridas pelos bancos em toda a Europa são bastante significativas.
Por exemplo,
- Em Julho de 2024, de acordo com o artigo publicado pelo The Good Returns, os governos alargaram as regulamentações contra o branqueamento de capitais (AML) para além das instituições financeiras tradicionais, de modo a incluir sectores não financeiros, como o imobiliário e os activos virtuais. Esta expansão teve como objetivo abordar as vulnerabilidades nestes setores devido às suas transações de elevado valor e à opacidade. Foram também introduzidas sanções mais rigorosas para o incumprimento, melhorando a cultura de compliance e reduzindo o risco de exploração financeira. Para as empresas de jogo, estas regulamentações aumentadas promovem uma estrutura AML mais robusta, promovendo a integridade e reduzindo os riscos legais
Oportunidades
- Aumento da adoção de análises avançadas em AML
A análise avançada é o sistema autónomo ou semiautónomo que analisa dados ou conteúdos utilizando técnicas e ferramentas sofisticadas, o que é bastante diferente da inteligência empresarial tradicional. Estas análises fornecem uma análise mais profunda com a qual o sistema prevê e gera recomendações. A análise avançada em soluções AML pode desempenhar um papel vital na deteção de branqueamento de capitais, crimes financeiros, roubo de identidade e transações transfronteiriças. Além disso, o Advanced Analytics pode desempenhar um papel vital na monitorização avançada de transações.
De acordo com o Gabinete das Nações Unidas para a Droga e o Crime (UNODC), são gastos anualmente 2 biliões de dólares em dinheiro ilegal. Outra pesquisa realizada pela Basel anti-lavagem de dinheiro (AML) em 2018 apontou que 64% dos países no ranking de 2018 (83/129) têm uma pontuação de risco de 5,0 ou superior e podem ser vagamente classificados como tendo um risco significativo de dinheiro.
Por exemplo,
- In May 2024, according to the article published by NDTV Profit, Pine Labs-owned Setu launched India's first large language model (LLM) application tailored for the BFSI sector. This LLM, trained on extensive datasets, can recognize and generate text. The introduction of this advanced analytics tool aims to enhance AML (anti-money laundering) efforts by improving text processing and analysis capabilities in financial services. For Setu, this move positions it as a leader in integrating cutting-edge AI into the BFSI sector, offering advanced solutions for compliance and risk management
- Integration of Ai and ML in Developing AML Solutions
Money Laundering has become a very important financial issue that financial authorities are trying to stop. According to the survey, money laundering is estimated to be 2 to 5% of the Europe GDP, or a net worth of USD 2 trillion is being laundered. There are various other issues, such as identity theft and cross-border transactions.
In 2020 according to a survey, 1.4 million complaints about identity theft cases were registered. In 2020, Cross-border transactions across Europe were estimated at around USD 23.21 trillion. All financial crimes are happening because of weak AML solutions and hesitancy to follow the guidelines set by the regulators. According to Fenergo's research, Regulators/agencies hit banks with a near-record USD 10 billion worth of fines in 2019; it also pointed out that 60.5% of the penalties came from banks violating anti-money laundering rules.
For instance,
- In March, ACI Worldwide, Inc. announced the launch of ACI fraud scoring for financial institutions. It is a platform launched for delivering next-generation machine learning capabilities. This launch will help the company expand its solution portfolio for its customer base. This solution will help financial institutions to protect their payment servers
Restraints/Challenges
- Privacy Concerns in Customer Data Monitoring
The rise in online gambling platforms has heightened privacy concerns regarding customer data monitoring. As operators implement advanced anti-money laundering (AML) measures, they collect and analyse extensive personal information to detect suspicious activities. This scrutiny raises significant privacy issues, as users’ sensitive data is increasingly subject to detailed tracking and examination. Balancing effective fraud prevention with robust data protection is crucial, as excessive monitoring can lead to breaches of privacy and erode customer trust.
For instance,
- In October 2023, according to the article published by Mondaq Ltd., India's Digital Personal Data Protection Act, 2023, introduced new privacy regulations impacting the online gaming industry. The act emphasized stricter data protection measures, requiring gaming platforms to ensure explicit consent for data processing, provide rights to data access and correction, and enforce robust security practices. The regulations also addressed concerns related to targeted marketing, especially towards minors, and set higher compliance standards for platforms handling large volumes of user data
Deploying AML Software is Expensive
According to the survey conducted by the Government Accountability Office (GAO). U.K. banks spent between 0.4% and 2.4% of their total 2018 operating expenses on anti-money laundering software. Banks in the survey spent an average of USD 15 per new account on due diligence requirements, even though the actual cost ranged from USD 5 to USD 44 depending on the type of bank. It was observed that banks spend the most on CDD, 29%, and reporting costs of 28% on average. In comparison, 18% was associated with training, testing, internal controls, software, and third-party costs, which accounted for 17% of AML solutions on average. In Europe, a survey conducted by LexisNexis risk solution in 2019 stated the true cost of anti-money laundering (AML) software is very high in European countries as the demand for the product is high.
For instance,
- In September 2023, according to the article published by The Investopedia, HSBC was fined USD 1.9 billion for severe lapses in its anti-money laundering (AML) controls, notably for laundering money for Mexican drug cartels. The scandal highlighted weaknesses in HSBC's compliance mechanisms and led to the imposition of additional $665 million in civil penalties. This case underscores the high cost of deploying effective AML software and compliance measures in banking. Investing in advanced AML solutions helps prevent costly penalties and maintains regulatory compliance, benefiting financial institutions by reducing legal risks and enhancing operational integrity
Middle East and Africa Anti-Money Laundering Market Scope
The Middle East and Africa anti-money laundering market is segmented into five notable segments on the basis of the offering, function, deployment, enterprise size, and end use. The growth amongst these segments will help you analyse 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.
By Offering
- Solution
- KYC/CDD and Watchlist
- Transaction Screening and Monitoring
- Case Management
- Regulatory Reporting
- Services
- Type
- Professional Service
- Managed Service
- Type
- Services
- Type
- Integration
- Support and Maintenance
- Training and Consulting
- Type
By Function
- Supervisory Compliance Management
- Currency Transaction Reporting
- Customer Identity Management
- Transaction Monitoring
By Deployment
- Cloud
- On-Premise
By Enterprise Size
- Large Enterprises
- Small & Medium-Sized Enterprises
By End Use
- Banks & Financial Institutions
- Insurance Providers
- Gaming & Gambling
- Gambling Type
- Casino
- Type
- Live Casinos
- Poker
- Blackjack
- Baccarat
- Slots
- Others
- Type
- Casino
- Application
- Live Entertainment/Online
- Type
- Hotels
- Multiple Dining Options
- Others
- Type
- Offline/Land Based
- Type
- Mobile
- Desktop
- Type
- Sports Betting
- Type
- Football
- E-sports
- Horse racing
- Others
- Type
- Lottery
- Bingo
- Raffles/Pools
- Live Entertainment/Online
- Gambling Type
- Government
- Others
Middle East and Africa Anti-Money Laundering Market Regional Analysis
The Middle East and Africa anti-money laundering market is segmented into five notable segments on the basis of the offering, function, deployment, enterprise size, and end use.
The countries covered in the Middle East and Africa anti-money laundering market report are South Africa, Saudi Arabia, Egypt, Israel, and rest of Middle East and Africa
South Africa is expected to dominate and fastest growing country in the market due to increasing stringent regulations and compliance for AML.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Middle East and Africa Anti-Money Laundering Market Share
Middle East and Africa Anti-Money Laundering Market competitive landscape provides details of the competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus.
The Middle East and Africa anti-money laundering market leaders operating in the market are:
- NICE (Israel)
- IBM (U.S.)
- sanctions.io (U.S.)
- Intel Corporation (U.S.)
- Oracle (U.S.)
- SAP SE (Germany)
- Accenture (U.S.)
- Experian Information Solution
- Inc. (Ireland)
- Open Text Corporation (Canada)
- BAE Systems (U.K.)
- SAS Institute Inc (U.S.)
- ACI Worldwide (U.S.)
- Cognizant (U.S.)
- Trulioo (Canada)
- Temenos Headquarters SA (Switzerland)
- WorkFusion, Inc, (U.S.)
- Vixio Regulatory Intelligence (England)
Latest Developments in Anti-Money Laundering Market
- Em setembro de 2023, a IBM anunciou que o seu Centro de Pagamentos aderiu ao Swift Partner Program, criando novas oportunidades de colaboração com mais de 11.000 membros Swift em todo o mundo. Esta parceria permitiu à IBM oferecer soluções de pagamento melhoradas e conectividade Swift baseada na cloud de ponta a ponta, reduzindo a necessidade dos clientes gerirem o hardware e o software Swift. A colaboração ajudou as instituições financeiras a modernizarem as plataformas de pagamento, a acederem a tecnologias de IA e a melhorarem a eficiência sem elevados custos de desenvolvimento e conformidade.
- Em abril de 2024, a Oracle lançou o Financial Services Compliance Agent, um serviço de cloud baseado em IA, concebido para ajudar os bancos a mitigar os riscos de combate ao branqueamento de capitais (AML). Este serviço permite aos bancos realizar testes de cenários económicos para ajustar controlos, identificar transações suspeitas e melhorar a conformidade. Ajuda também os bancos a avaliar e otimizar os sistemas de monitorização de transações, a avaliar os riscos de novos produtos e a abordar proactivamente as tipologias de alto risco. Esta solução visa reduzir os custos de compliance e melhorar a eficácia dos programas de AML
- Em janeiro, a Oracle destacou as suas soluções abrangentes na cloud para bancos através do Oracle Financial Services. A empresa enfatizou que os bancos estão a adotar cada vez mais serviços na nuvem impulsionados pelos avanços da IA e do ML. A Oracle fornece um conjunto completo de soluções fintech prontas para a cloud, escaláveis e seguras, oferecendo aos bancos uma solução de fornecedor único sem a necessidade de múltiplas parcerias fintech. A plataforma da Oracle suporta mais de 3.000 micro-serviços e APIs abertas, ajudando os bancos na transição de sistemas legados e a manterem-se competitivos
- Em setembro, a Oracle e a Quantifind anunciaram uma colaboração estratégica para melhorar os processos de combate ao branqueamento de capitais (AML). Soluções SaaS da Quantifind para investigações, due diligence de clientes e gestão de alertas integradas na plataforma de gestão de conformidade e crimes financeiros da Oracle. Esta parceria teve como objetivo melhorar a eficiência AML até 30% e agilizar os fluxos de trabalho com IA avançada e aprendizagem automática. A integração permitiu que os clientes da Oracle acedessem a dados abrangentes e melhorassem as suas capacidades de conformidade com AML através de uma plataforma unificada
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 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING 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 END USE COVERAGE GRID
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 PORTER’S FIVE FORCES
4.2 USE CASE ANALYSIS
4.3 REGULATIONS ON COUNTRY LEVEL
5 MARKET OVERVIEW
5.1 DRIVERS
5.1.1 INCREASED FINANCIAL CRIMES DETECTION EFFORTS
5.1.2 INCREASING STRINGENT REGULATIONS AND COMPLIANCE RELATED TO AML
5.1.3 GROWING DEMAND FOR AML SOFTWARE’S
5.1.4 RISE IN ONLINE GAMBLING PLATFORMS
5.2 RESTRAINTS
5.2.1 PRIVACY CONCERNS IN CUSTOMER DATA MONITORING
5.2.2 DEPLOYING AML SOFTWARE IS EXPENSIVE
5.3 OPPORTUNITIES
5.3.1 INCREASING ADOPTION OF ADVANCED ANALYTICS IN AML
5.3.2 INTEGRATION OF AI AND ML IN DEVELOPING AML SOLUTIONS
5.4 CHALLENGES
5.4.1 EVOLVING MONEY LAUNDERING TECHNIQUES
5.4.2 DIFFICULTY IN MONITORING DECENTRALIZED FINANCE SYSTEMS
6 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOLUTION
6.2.1 SOLUTION, BY TYPE
6.2.2 KYC/CDD AND WATCHLIST
6.2.3 CASE MANAGEMENT
6.2.4 REGULATORY REPORTING
6.2.5 TRANSACTION SCREENING AND MONITORING
6.2.6 RISK-BASED APPROACH
6.2.7 OTHERS
6.3 SERVICES
6.3.1 SERVICES, BY TYPE
6.3.2 PROFESSIONAL SERVICES
6.3.3 PROFESSIONAL SERVICES, BY TYPE
6.3.3.1 INTEGRATION
6.3.3.2 SUPPORT AND MAINTENANCE
6.3.3.3 TRAINING AND CONSULTING
6.3.4 MANAGED SERVICES
7 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION
7.1 OVERVIEW
7.2 COMPLIANCE MANAGEMENT
7.3 CUSTOMER IDENTITY MANAGEMENT
7.4 TRANSACTION MONITORING
7.5 CURRENCY TRANSACTION REPORTING
7.6 OTHERS
8 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISE
9 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE
9.1 OVERVIEW
9.2 LARGE ENTERPRISES
9.3 SMALL & MEDIUM ENTERPRISES
10 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY END USE
10.1 OVERVIEW
10.2 BANKS & FINANCIAL INSTITUTION
10.3 INSURANCE PROVIDERS
10.4 GOVERNMENT
10.5 GAMING & GAMBLING
10.5.1 GAMING & GAMBLING, BY GAMBLING TYPE
10.5.2 CASINO
10.5.3 CASINO, BY TYPE
10.5.3.1 LIVE CASINOS
10.5.3.2 POKER
10.5.3.3 BLACKJACK
10.5.3.4 BACCARAT
10.5.3.5 SLOTS
10.5.3.6 OTHERS
10.5.4 SPORTS BETTING
10.5.5 SPORTS BETTING, BY TYPE
10.5.5.1 FOOTBALL
10.5.5.2 E-SPORTS
10.5.5.3 HORSE RACING
10.5.5.4 OTHERS
10.5.6 LOTTERY
10.5.7 BINGO
10.5.8 RAFFLES/POOLS
10.5.9 GAMING & GAMBLING, BY APPLICATION
10.5.10 LIVE ENTERTAINMENT/ONLINE
10.5.11 LIVE ENTERTAINMENT/ONLINE, BY TYPE
10.5.11.1 HOTELS
10.5.11.2 MULTIPLE DINING OPTIONS
10.5.11.3 OTHERS
10.5.12 OFFLINE/LAND BASED
10.5.13 OFFLINE/LAND BASED, BY TYPE
10.5.13.1 MOBILE
10.5.13.2 DESKTOP
10.5.14 GAMING & GAMBLING, BY GAMBLING ENTITY
10.5.15 ORGANIZATIONS
10.5.16 SOLE TRADER/PARTNERSHIP
10.5.17 OTHERS
10.6 OTHERS
11 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY REGION
11.1 MIDDLE EAST AND AFRICA
11.1.1 SOUTH AFRICA
11.1.2 SAUDI ARABIA
11.1.3 EGYPT
11.1.4 ISRAEL
11.1.5 REST OF MIDDLE EAST AND AFRICA
12 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: MIDDLE EAST AND AFRICA
13 SWOT ANALYSIS
14 COMPANY PROFILE
14.1 ACCENTURE
14.1.1 COMPANY SNAPSHOT
14.1.2 REVENUE ANALYSIS
14.1.3 COMPANY SHARE ANALYSIS
14.1.4 SERVICE PORTFOLIO
14.1.5 RECENT DEVELOPMENTS
14.2 ORACLE
14.2.1 COMPANY SNAPSHOT
14.2.2 REVENUE ANALYSIS
14.2.3 COMPANY SHARE ANALYSIS
14.2.4 SOLUTION PORTFOLIO
14.2.5 RECENT DEVELOPMENTS
14.3 COGNIZANT
14.3.1 COMPANY SNAPSHOT
14.3.2 REVENUE ANALYSIS
14.3.3 COMPANY SHARE ANALYSIS
14.3.4 SOLUTION PORTFOLIO
14.3.5 RECENT DEVELOPMENT
14.4 INTEL CORPORATION
14.4.1 COMPANY SNAPSHOT
14.4.2 REVENUE ANALYSIS
14.4.3 COMPANY SHARE ANALYSIS
14.4.4 SOLUTION PORTFOLIO
14.4.5 RECENT DEVELOPMENTS
14.5 IBM
14.5.1 COMPANY SNAPSHOT
14.5.2 REVENUE ANALYSIS
14.5.3 COMPANY SHARE ANALYSIS
14.5.4 SOLUTION PORTFOLIO
14.5.5 RECENT DEVELOPMENTS
14.6 ACI WORLDWIDE
14.6.1 COMPANY SNAPSHOT
14.6.2 REVENUE ANALYSIS
14.6.3 SOLUTION PORTFOLIO
14.6.4 RECENT DEVELOPMENTS
14.7 BAE SYSTEMS
14.7.1 COMPANY SNAPSHOT
14.7.2 REVENUE ANALYSIS
14.7.3 SOLUTION PORTFOLIO
14.7.4 RECENT DEVELOPMENT
14.8 EXPERIAN INFORMATION SOLUTIONS, INC
14.8.1 COMPANY SNAPSHOT
14.8.2 REVENUE ANALYSIS
14.8.3 SOLUTION PORTFOLIO
14.8.4 RECENT DEVELOPMENTS
14.9 NICE
14.9.1 COMPANY SNAPSHOT
14.9.2 SOLUTION PORTFOLIO
14.9.3 RECENT DEVELOPMENTS
14.1 OPEN TEXT CORPORATION
14.10.1 COMPANY SNAPSHOT
14.10.2 REVENUE ANALYSIS
14.10.3 SOLUTION PORTFOLIO
14.10.4 RECENT DEVELOPMENTS
14.11 SANCTIONS.IO
14.11.1 COMPANY SNAPSHOT
14.11.2 SOLUTION PORTFOLIO
14.11.3 RECENT DEVELOPMENT
14.12 SAP SE
14.12.1 COMPANY SNAPSHOT
14.12.2 REVENUE ANALYSIS
14.12.3 SERVICE PORTFOLIO
14.12.4 RECENT DEVELOPMENTS
14.13 SAS INSTITUTE INC.
14.13.1 COMPANY SNAPSHOT
14.13.2 SOLUTION PORTFOLIO
14.13.3 RECENT DEVELOPMENTS
14.14 TEMENOS HEADQUARTERS SA
14.14.1 COMPANY SNAPSHOT
14.14.2 REVENUE ANALYSIS
14.14.3 PRODUCT PORTFOLIO
14.14.4 RECENT DEVELOPMENTS
14.15 TRULIOO
14.15.1 COMPANY SNAPSHOT
14.15.2 INDUSTRIES PORTFOLIO
14.15.3 RECENT DEVELOPMENTS
14.16 VIXIO REGULATORY INTELLIGENCE
14.16.1 COMPANY SNAPSHOT
14.16.2 SOLUTION PORTFOLIO
14.16.3 RECENT DEVELOPMENTS
14.17 WORKFUSION, INC
14.17.1 COMPANY SNAPSHOT
14.17.2 SOLUTION PORTFOLIO
14.17.3 RECENT DEVELOPMENTS
15 QUESTIONNAIRE
16 RELATED REPORTS
Lista de Tabela
TABLE 1 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: REGULATIONS ON COUNTRY LEVEL
TABLE 2 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 3 MIDDLE EAST AND AFRICA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 4 MIDDLE EAST AND AFRICA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 5 MIDDLE EAST AND AFRICA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 6 MIDDLE EAST AND AFRICA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 7 MIDDLE EAST AND AFRICA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 8 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 9 MIDDLE EAST AND AFRICA COMPLIANCE MANAGEMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 10 MIDDLE EAST AND AFRICA CUSTOMER IDENTITY MANAGEMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 11 MIDDLE EAST AND AFRICA TRANSACTION MONITORING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 12 MIDDLE EAST AND AFRICA CURRENCY TRANSACTION REPORTING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 13 MIDDLE EAST AND AFRICA OTHERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 14 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 15 MIDDLE EAST AND AFRICA CLOUD IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 16 MIDDLE EAST AND AFRICA ON-PREMISE IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 17 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 18 MIDDLE EAST AND AFRICA LARGE ENTERPRISES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND
TABLE 19 MIDDLE EAST AND AFRICA SMALL & MEDIUM ENTERPRISES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND
TABLE 20 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 21 MIDDLE EAST AND AFRICA BANKS & FINANCIAL INSTITUTION IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 22 MIDDLE EAST AND AFRICA INSURANCE PROVIDERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 23 MIDDLE EAST AND AFRICA GOVERNMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 24 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 25 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 26 MIDDLE EAST AND AFRICA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 27 MIDDLE EAST AND AFRICA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 28 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 29 MIDDLE EAST AND AFRICA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 30 MIDDLE EAST AND AFRICA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 31 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 32 MIDDLE EAST AND AFRICA OTHERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 33 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)
TABLE 34 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 35 MIDDLE EAST AND AFRICA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 36 MIDDLE EAST AND AFRICA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 37 MIDDLE EAST AND AFRICA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 38 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 39 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 40 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 41 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 42 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 43 MIDDLE EAST AND AFRICA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 44 MIDDLE EAST AND AFRICA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 45 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 46 MIDDLE EAST AND AFRICA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 47 MIDDLE EAST AND AFRICA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 48 MIDDLE EAST AND AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 49 SOUTH AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 50 SOUTH AFRICA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 51 SOUTH AFRICA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 52 SOUTH AFRICA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 53 SOUTH AFRICA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 54 SOUTH AFRICA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 55 SOUTH AFRICA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 56 SOUTH AFRICA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 57 SOUTH AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 58 SOUTH AFRICA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 59 SOUTH AFRICA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 60 SOUTH AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 61 SOUTH AFRICA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 62 SOUTH AFRICA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 63 SOUTH AFRICA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 64 SAUDI ARABIA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 65 SAUDI ARABIA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 66 SAUDI ARABIA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 67 SAUDI ARABIA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 68 SAUDI ARABIA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 69 SAUDI ARABIA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 70 SAUDI ARABIA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 71 SAUDI ARABIA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 72 SAUDI ARABIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 73 SAUDI ARABIA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 74 SAUDI ARABIA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 75 SAUDI ARABIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 76 SAUDI ARABIA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 77 SAUDI ARABIA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 78 SAUDI ARABIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 79 EGYPT ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 80 EGYPT SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 81 EGYPT SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 82 EGYPT PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 83 EGYPT ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 84 EGYPT ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 85 EGYPT ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 86 EGYPT ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 87 EGYPT GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 88 EGYPT CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 89 EGYPT SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 90 EGYPT GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 91 EGYPT LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 92 EGYPT OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 93 EGYPT GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 94 ISRAEL ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 95 ISRAEL SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 96 ISRAEL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 97 ISRAEL PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 98 ISRAEL ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 99 ISRAEL ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 100 ISRAEL ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 101 ISRAEL ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 102 ISRAEL GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 103 ISRAEL CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 104 ISRAEL SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 105 ISRAEL GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 106 ISRAEL LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 107 ISRAEL OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 108 ISRAEL GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 109 REST OF MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
Lista de Figura
FIGURE 1 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: SEGMENTATION
FIGURE 2 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: DATA TRIANGULATION
FIGURE 3 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: DROC ANALYSIS
FIGURE 4 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: MIDDLE EAST AND AFRICA VS REGIONAL MARKET ANALYSIS
FIGURE 5 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: DBMR MARKET POSITION GRID
FIGURE 8 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: MULTIVARIATE MODELING
FIGURE 10 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: OFFERING TIMELINE CURVE
FIGURE 11 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: MARKET END USE COVERAGE GRID
FIGURE 12 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: SEGMENTATION
FIGURE 13 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET
FIGURE 14 STRATEGIC DECISIONS
FIGURE 15 TWO SEGMENTS COMPRISE THE MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET, BY OFFERING (2023)
FIGURE 16 INCREASED FINANCIAL CRIMES DETECTION EFFORT IS EXPECTED TO DRIVE THE MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING 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 ANTI-MONEY LAUNDERING MARKET IN 2024 & 2031
FIGURE 18 USE TRANSACTION MONITORING OPERATIONS
FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF EUROPE ANTI-MONEY LAUNDERING SOFTWARE MARKET
FIGURE 20 COMMON TYPES OF AML SOFTWARE
FIGURE 21 STAGES OF MONEY LAUNDERING IN GAMBLING
FIGURE 22 ADVANCED AML ANALYTICS
FIGURE 23 USING GRAPH ANALYTICS FOR ONLINE GAMBLING
FIGURE 24 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: BY OFFERING, 2023
FIGURE 25 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: BY FUNCTION, 2023
FIGURE 26 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: BY DEPLOYMENT, 2023
FIGURE 27 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: BY ENTERPRISE SIZE, 2023
FIGURE 28 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: BY END USE, 2023
FIGURE 29 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING MARKET: SNAPSHOT (2023)
FIGURE 30 MIDDLE EAST AND AFRICA ANTI-MONEY LAUNDERING 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.