Asia Pacific Anti Money Laundering Market
Tamanho do mercado em biliões de dólares
CAGR :
% 
 Período de previsão |
2024 –2031 |
 Tamanho do mercado (ano base ) | USD 803.54 Million |
 Tamanho do mercado ( Ano de previsão) | USD 2,330.37 Million |
 CAGR |
% |
| Principais participantes do mercado |
Segmentação do mercado anti-branqueamento de capitais Ásia-Pacífico, por oferta (soluções e serviços), função (gestão da conformidade, gestão da identidade do cliente, monitorização de transações, relatórios de transações monetárias e outros), implementação (cloud e local), tamanho da empresa ( Grandes empresas e pequenas e médias empresas), utilização final ( bancos e instituições financeiras, seguradoras, governo, jogos e apostas e outros) - Tendências e previsões do sector para 2031.
Análise do mercado de combate ao branqueamento de capitais na Ásia-Pacífico
O mercado de combate ao branqueamento de capitais da Ásia-Pacífico tem registado um crescimento devido a um aumento da procura de sistemas de monitorização de transações 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 da Ásia-Pacífico
A Data Bridge Market Research analisa que o mercado de combate ao branqueamento de capitais da Ásia-Pacífico deverá atingir os 2.330,37 milhões de dólares até 2031, face aos 803,54 milhões de dólares em 2023, crescendo com um CAGR de 14,4% no período de previsão de 2024 a 2031.
Tendências do mercado de combate ao branqueamento de capitais na Ásia-Pacífico
“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
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Métrica de relatório |
Insights do mercado anti-branqueamento de capitais da Ásia-Pacífico |
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Segmentos cobertos |
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Países abrangidos |
China, Japão, Índia, Coreia do Sul, Austrália, Singapura, Malásia, Tailândia, Indonésia, Filipinas, Taiwan, Vietname e Resto da Ásia-Pacífico |
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Principais participantes do mercado |
BAE Systems, NICE, SAP SE, Open Text Corporation, ACI Worldwide, Accenture, Oracle, Cognizant, Intel Corporation e IBM, 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 do mercado de anti-branqueamento de capitais da Ásia-Pacífico
As soluções de Combate ao Branqueamento de Capitais (AML) são utilizadas para detectar e alertar as instituições sobre branqueamento de capitais, financiamento do terrorismo, fraude, crime electrónico, suborno e corrupção, evasão fiscal, peculato, segurança da informação, transacções transfronteiriças ilegais, entre outros que têm um enorme impacto. 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 na Ásia-Pacífico
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,
- Em maio de 2024, de acordo com o artigo publicado pela NDTV Profit, a Setu, propriedade da Pine Labs, lançou a primeira aplicação de modelo de linguagem grande (LLM) da Índia, feita à medida para o setor BFSI. Este LLM, treinado em conjuntos de dados extensos, pode reconhecer e gerar texto. A introdução desta ferramenta de análise avançada visa melhorar os esforços de combate ao branqueamento de capitais (AML), melhorando as capacidades de processamento e análise de texto nos serviços financeiros. Para a Setu, esta mudança posiciona-a como líder na integração de IA de ponta no setor BFSI, oferecendo soluções avançadas para conformidade e gestão de riscos
- Integração de IA e ML no desenvolvimento de soluções AML
O branqueamento de capitais tornou-se uma questão financeira muito importante que as autoridades financeiras estão a tentar impedir. De acordo com o inquérito, estima-se que o branqueamento de capitais represente 2 a 5% do PIB da Europa, ou seja, está a ser branqueado um património líquido de 2 biliões de dólares. Existem vários outros problemas, como o roubo de identidade e as transações transfronteiriças.
Em 2020, segundo um inquérito, foram registadas 1,4 milhões de queixas sobre casos de roubo de identidade. Em 2020, as transações transfronteiriças em toda a Europa foram estimadas em cerca de 23,21 biliões de dólares. Todos os crimes financeiros acontecem devido a soluções fracas de combate ao branqueamento de capitais e à hesitação em seguir as orientações estabelecidas pelos reguladores. De acordo com a investigação da Fenergo, os reguladores/agências atingiram os bancos com um valor quase recorde de 10 mil milhões de dólares em multas em 2019; salientou ainda que 60,5% das sanções provinham de bancos que violavam as regras de combate ao branqueamento de capitais .
Por exemplo,
- Em março, a ACI Worldwide, Inc. anunciou o lançamento da pontuação de fraude da ACI para instituições financeiras. É uma plataforma lançada para fornecer capacidades de aprendizagem automática de próxima geração. Este lançamento ajudará a empresa a expandir o seu portefólio de soluções para a sua base de clientes. Esta solução ajudará as instituições financeiras a proteger os seus servidores de pagamento
Restrições/Desafios
- Preocupações com a privacidade na monitorização de dados do cliente
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
Asia-Pacific Anti-Money Laundering Market Scope
The Asia-Pacific 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
Asia-Pacific Anti-Money Laundering Market Regional Analysis
The Asia-Pacific anti-money laundering market is segmented five notable segments on the basis of the offering, function, deployment, enterprise size, and end Use.
The countries covered in the Asia-Pacific anti-money laundering market report are China, Japan, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Taiwan, Vietnam, and rest of Asia-Pacific.
China is expected to dominate and fastest growing country in the region due to rise in online gambling platforms.
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.
Asia-Pacific Anti-Money Laundering Market Share
Asia Pacific 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.
Os líderes do mercado de combate ao branqueamento de capitais da Ásia-Pacífico que operam no mercado são:
- AGRADÁVEL (Israel)
- IBM (EUA)
- sanções.io (EUA)
- Corporação Intel (EUA)
- Oráculo (EUA)
- SAP SE (Alemanha)
- Accenture (EUA)
- Solução de informação Experian
- Inc. (Irlanda)
- Open Text Corporation (Canadá)
- Sistemas BAE (Reino Unido)
- SAS Institute Inc (EUA)
- ACI Worldwide (EUA)
- Cognizant (EUA)
- Trulioo (Canadá)
- Sede da Temenos SA (Suíça)
- WorkFusion, Inc, (EUA)
- Vixio Regulatory Intelligence (Inglaterra)
Últimos desenvolvimentos no mercado de combate ao branqueamento de capitais
- 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-
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- Acesso de analista de pesquisa para personalização e customização. consultas
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Índice
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISE
9 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE
9.1 OVERVIEW
9.2 LARGE ENTERPRISES
9.3 SMALL & MEDIUM ENTERPRISES
10 ASIA-PACIFIC 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 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY REGION
11.1 ASIA PACIFIC
11.1.1 CHINA
11.1.2 JAPAN
11.1.3 INDIA
11.1.4 SOUTH KOREA
11.1.5 AUSTRALIA
11.1.6 SINGAPORE
11.1.7 THAILAND
11.1.8 INDONESIA
11.1.9 MALAYSIA
11.1.10 PHILIPPINES
11.1.11 REST OF ASIA-PACIFIC
12 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
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 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: REGULATIONS ON COUNTRY LEVEL
TABLE 2 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 3 ASIA-PACIFIC SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 4 ASIA-PACIFIC SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 5 ASIA-PACIFIC SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 6 ASIA-PACIFIC SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 7 ASIA-PACIFIC PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 8 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 9 ASIA-PACIFIC COMPLIANCE MANAGEMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 10 ASIA-PACIFIC CUSTOMER IDENTITY MANAGEMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 11 ASIA-PACIFIC TRANSACTION MONITORING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 12 ASIA-PACIFIC CURRENCY TRANSACTION REPORTING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 13 ASIA-PACIFIC OTHERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 14 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 15 ASIA-PACIFIC CLOUD IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 16 ASIA-PACIFIC ON-PREMISE IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 17 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 18 ASIA-PACIFIC LARGE ENTERPRISES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND
TABLE 19 ASIA-PACIFIC SMALL & MEDIUM ENTERPRISES IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND
TABLE 20 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 21 ASIA-PACIFIC BANKS & FINANCIAL INSTITUTION IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 22 ASIA-PACIFIC INSURANCE PROVIDERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 23 ASIA-PACIFIC GOVERNMENT IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 24 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 25 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 26 ASIA-PACIFIC CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 27 ASIA-PACIFIC SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 28 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 29 ASIA-PACIFIC LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 30 ASIA-PACIFIC OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 31 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 32 ASIA-PACIFIC OTHERS IN ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 33 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)
TABLE 34 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 35 ASIA-PACIFIC SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 36 ASIA-PACIFIC SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 37 ASIA-PACIFIC PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 38 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 39 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 40 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 41 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 42 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 43 ASIA-PACIFIC CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 44 ASIA-PACIFIC SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 45 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 46 ASIA-PACIFIC LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 47 ASIA-PACIFIC OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 48 ASIA-PACIFIC GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 49 CHINA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 50 CHINA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 51 CHINA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 52 CHINA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 53 CHINA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 54 CHINA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 55 CHINA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 56 CHINA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 57 CHINA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 58 CHINA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 59 CHINA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 60 CHINA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 61 CHINA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 62 CHINA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 63 CHINA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 64 JAPAN ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 65 JAPAN SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 66 JAPAN SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 67 JAPAN PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 68 JAPAN ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 69 JAPAN ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 70 JAPAN ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 71 JAPAN ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 72 JAPAN GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 73 JAPAN CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 74 JAPAN SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 75 JAPAN GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 76 JAPAN LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 77 JAPAN OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 78 JAPAN GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 79 INDIA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 80 INDIA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 81 INDIA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 82 INDIA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 83 INDIA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 84 INDIA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 85 INDIA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 86 INDIA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 87 INDIA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 88 INDIA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 89 INDIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 90 INDIA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 91 INDIA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 92 INDIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 93 SOUTH KOREA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 94 SOUTH KOREA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 95 SOUTH KOREA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 96 SOUTH KOREA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 97 SOUTH KOREA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 98 SOUTH KOREA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 99 SOUTH KOREA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 100 SOUTH KOREA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 101 SOUTH KOREA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 102 SOUTH KOREA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 103 SOUTH KOREA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 104 SOUTH KOREA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 105 SOUTH KOREA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 106 SOUTH KOREA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 107 SOUTH KOREA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 108 AUSTRALIA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 109 AUSTRALIA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 110 AUSTRALIA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 111 AUSTRALIA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 112 AUSTRALIA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 113 AUSTRALIA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 114 AUSTRALIA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 115 AUSTRALIA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 116 AUSTRALIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 117 AUSTRALIA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 118 AUSTRALIA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 119 AUSTRALIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 120 AUSTRALIA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 121 AUSTRALIA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 122 AUSTRALIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 123 SINGAPORE ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 124 SINGAPORE SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 125 SINGAPORE SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 126 SINGAPORE PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 127 SINGAPORE ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 128 SINGAPORE ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 129 SINGAPORE ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 130 SINGAPORE ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 131 SINGAPORE GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 132 SINGAPORE CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 133 SINGAPORE SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 134 SINGAPORE GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 135 SINGAPORE LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 136 SINGAPORE OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 137 SINGAPORE GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 138 THAILAND ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 139 THAILAND SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 140 THAILAND SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 141 THAILAND PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 142 THAILAND ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 143 THAILAND ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 144 THAILAND ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 145 THAILAND ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 146 THAILAND GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 147 THAILAND CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 148 THAILAND SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 149 THAILAND GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 150 THAILAND LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 151 THAILAND OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 152 THAILAND GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 153 INDONESIA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 154 INDONESIA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 155 INDONESIA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 156 INDONESIA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 157 INDONESIA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 158 INDONESIA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 159 INDONESIA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 160 INDONESIA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 161 INDONESIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 162 INDONESIA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 163 INDONESIA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 164 INDONESIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 165 INDONESIA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 166 INDONESIA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 167 INDONESIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 168 MALAYSIA ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 169 MALAYSIA SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 170 MALAYSIA SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 171 MALAYSIA PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 172 MALAYSIA ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 173 MALAYSIA ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 174 MALAYSIA ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 175 MALAYSIA ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 176 MALAYSIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 177 MALAYSIA CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 178 MALAYSIA SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 179 MALAYSIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 180 MALAYSIA LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 181 MALAYSIA OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 182 MALAYSIA GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 183 PHILIPPINES ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 184 PHILIPPINES SOLUTION IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 185 PHILIPPINES SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 186 PHILIPPINES PROFESSIONAL SERVICES IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 187 PHILIPPINES ANTI-MONEY LAUNDERING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 188 PHILIPPINES ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT, 2022-2031 (USD THOUSAND)
TABLE 189 PHILIPPINES ANTI-MONEY LAUNDERING MARKET, BY ENTERPRISE SIZE, 2022-2031 (USD THOUSAND)
TABLE 190 PHILIPPINES ANTI-MONEY LAUNDERING MARKET, BY END USE, 2022-2031 (USD THOUSAND)
TABLE 191 PHILIPPINES GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING TYPE, 2022-2031 (USD THOUSAND)
TABLE 192 PHILIPPINES CASINO IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 193 PHILIPPINES SPORTS BETTING IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 194 PHILIPPINES GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 195 PHILIPPINES LIVE ENTERTAINMENT/ONLINE IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 196 PHILIPPINES OFFLINE/LAND BASED IN ANTI-MONEY LAUNDERING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 197 PHILIPPINES GAMING & GAMBLING IN ANTI-MONEY LAUNDERING MARKET, BY GAMBLING ENTITY, 2022-2031 (USD THOUSAND)
TABLE 198 REST OF ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
Lista de Figura
FIGURE 1 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: SEGMENTATION
FIGURE 2 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: DATA TRIANGULATION
FIGURE 3 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: DROC ANALYSIS
FIGURE 4 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: ASIA-PACIFIC VS REGIONAL MARKET ANALYSIS
FIGURE 5 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: DBMR MARKET POSITION GRID
FIGURE 8 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: MULTIVARIATE MODELING
FIGURE 10 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: OFFERING TIMELINE CURVE
FIGURE 11 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: MARKET END USE COVERAGE GRID
FIGURE 12 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: SEGMENTATION
FIGURE 13 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET
FIGURE 14 STRATEGIC DECISIONS
FIGURE 15 TWO SEGMENTS COMPRISE THE ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET, BY OFFERING (2023)
FIGURE 16 INCREASED FINANCIAL CRIMES DETECTION EFFORT IS EXPECTED TO DRIVE THE ASIA-PACIFIC 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 ASIA-PACIFIC 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 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: BY OFFERING, 2023
FIGURE 25 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: BY FUNCTION, 2023
FIGURE 26 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: BY DEPLOYMENT, 2023
FIGURE 27 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: BY ENTERPRISE SIZE, 2023
FIGURE 28 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: BY END USE, 2023
FIGURE 29 ASIA-PACIFIC ANTI-MONEY LAUNDERING MARKET: SNAPSHOT (2023)
FIGURE 30 ASIA-PACIFIC 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.
