Asia Pacific Anti Money Laundering Market
Tamaño del mercado en miles de millones de dólares
Tasa de crecimiento anual compuesta (CAGR) :
% 
 Período de pronóstico |
2024 –2031 |
 Tamaño del mercado (año base) |
USD 803.54 Million |
 Tamaño del mercado (año de pronóstico) |
USD 2,330.37 Million |
 Tasa de crecimiento anual compuesta (CAGR) |
% |
| Jugadoras de los principales mercados |
Segmentación del mercado de lucha contra el blanqueo de dinero en Asia y el Pacífico, por oferta (soluciones y servicios), función (gestión de cumplimiento, gestión de identidad del cliente, monitoreo de transacciones, informes de transacciones de divisas y otros), implementación (nube y local), tamaño de la empresa (grandes empresas y pequeñas y medianas empresas), uso final ( bancos e instituciones financieras, proveedores de seguros, gobierno, juegos y apuestas, y otros): tendencias de la industria y pronóstico hasta 2031.
Análisis del mercado de lucha contra el blanqueo de dinero en Asia y el Pacífico
El mercado de lucha contra el blanqueo de dinero en Asia Pacífico ha experimentado un crecimiento debido al aumento de la demanda de sistemas de supervisión de transacciones que evalúen los patrones de delitos financieros. Esto se puede utilizar en varias otras aplicaciones para detectar delitos financieros como la financiación del terrorismo, el fraude, el tráfico de drogas, el soborno, la corrupción y el robo de identidad, que pueden afectar significativamente a la economía del país. En los últimos tiempos, las soluciones AML están ganando popularidad entre varias instituciones financieras como compañías de seguros, bancos comerciales, bancos por Internet, banca minorista, compañías de seguros y compañías hipotecarias, entre otras. Además, está ganando popularidad entre varias industrias como la industria del juego y las apuestas, la industria inmobiliaria, el cambio de divisas (MSB), la industria de pagos, la industria de inversiones y los organismos gubernamentales de todo el mundo.
Tamaño del mercado de lucha contra el blanqueo de dinero en Asia y el Pacífico
Data Bridge Market Research analiza que se espera que el mercado antilavado de dinero de Asia-Pacífico alcance los USD 2330,37 millones para 2031 desde USD 803,54 millones en 2023, creciendo con una CAGR del 14,4% en el período de pronóstico de 2024 a 2031.
Tendencias del mercado de lucha contra el blanqueo de dinero en Asia y el Pacífico
“Incremento de los esfuerzos de detección de delitos financieros”
El aumento de los esfuerzos para detectar delitos financieros ha intensificado el escrutinio de las medidas contra el blanqueo de dinero, centrándose en mejorar el cumplimiento y las tendencias de los sistemas de seguimiento. Las instituciones financieras están aplicando procedimientos más rigurosos para identificar transacciones sospechosas y patrones indicativos de blanqueo de dinero. Estas medidas incluyen el fortalecimiento de los controles internos, la mejora de las prácticas de notificación de transacciones y la mejora de la colaboración con los organismos reguladores. La presión para lograr una mayor transparencia y rendición de cuentas tiene como objetivo desmantelar las redes de delitos financieros y reducir los flujos financieros ilícitos. Al adoptar marcos integrales de lucha contra el blanqueo de dinero, las organizaciones buscan mitigar los riesgos y proteger la integridad del sistema financiero. Este enfoque proactivo refleja un compromiso más amplio con la lucha contra los delitos financieros y el mantenimiento del cumplimiento normativo.
Alcance del informe y segmentación del mercado de prevención del blanqueo de capitales
|
Métrica del informe |
Perspectivas del mercado de lucha contra el blanqueo de dinero en Asia y el Pacífico |
|
Segmentos cubiertos |
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Countries Covered |
China, Japan, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Taiwan, Vietnam, and Rest of Asia-Pacific |
|
Key Market Players |
BAE Systems, NICE, SAP SE, Open Text Corporation, ACI Worldwide, Accenture, Oracle, Cognizant, Intel Corporation, and IBM among others. |
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Market Opportunities |
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Value Added Data |
In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and PESTLE analysis. |
Asia-Pacific Anti-Money Laundering Market Definition
Anti-money Laundering (AML) solutions are used to detect and warn the institutions regarding money laundering, terrorist financing, fraud, electronic crime, bribery and corruption, tax evasion, embezzlement, information security, illegal cross border transactions, among others that hugely impact the economy of the country and can hamper its reputation. AML is a term that is generally used to depict the fight against money laundering & financial crimes. Anti-money Laundering (AML) solutions comply with various policies, laws, and regulations that help in preventing financial crimes. These guidelines, policies, and laws are set local regulators present worldwide, which aims to strengthen the functioning of AML solutions.
Asia-Pacific Anti-Money Laundering Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints, and challenges. All of this is discussed in detail below:
Drivers
- Increased Financial Crimes Detection Efforts
Increased financial crimes detection efforts have intensified scrutiny on anti-money laundering (AML) measures, focusing on enhancing compliance and monitoring systems. Financial institutions are implementing more rigorous procedures to identify suspicious transactions and patterns indicative of money laundering. These measures include strengthening internal controls, improving transaction reporting practices, and enhancing collaboration with regulatory bodies. The push for greater transparency and accountability aims to disrupt financial crime networks and reduce illicit financial flows. By adopting comprehensive AML frameworks, organizations seek to mitigate risks and protect the integrity of the financial system.
For instance,
- In August 2024, according to the blog Informa PLC, ThetaRay, an Israeli provider of AI-driven transaction monitoring, acquired Belgian fintech Screena. It offers an AI-powered AML screening solution for financial institutions (FIs). This acquisition aims to enhance ThetaRay’s ability to provide a comprehensive view of transactional and customer screening risks. It supports increased financial crime detection efforts, including gambling-related illegal activities, and strengthens ThetaRay's cloud-based, end-to-end financial crime detection platform
- Increasing Stringent Regulations and Compliance Related to AML
An anti-money laundering compliance program is a set of regulations or rules a financial institution must follow to prevent and detect money laundering and terrorist funding activities. Financial crime against financial institutions such as banks and credit unions has recently increased. There was a ~50- 60% increment in financial fraud cases in 2019 from 2018, and it is expected to grow in the coming years. The losses incurred by the banks across Europe are quite significant.
For instance,
- In July 2024, according to the article published by The Good Returns, governments extended Anti-Money Laundering (AML) regulations beyond traditional financial institutions to include non-financial sectors like real estate and virtual assets. This expansion aimed to address vulnerabilities in these sectors due to their high-value transactions and opacity. Stricter penalties for non-compliance were also introduced, enhancing the compliance culture and reducing the risk of financial exploitation. For gambling companies, these increased regulations foster a more robust AML framework, promoting integrity and reducing legal risks
Opportunities
- Increasing Adoption of Advanced Analytics In AML
Advanced analytics is the autonomous or semi-autonomous system that analyzes data or content using sophisticated techniques and tools, which is quite different from traditional business intelligence. These analytics give a deeper analysis using which the system predicts and generates recommendations. Advanced analytics in AML solutions can play a vital role in detecting money laundering, financial crimes, identity theft, and cross-border transactions. Moreover, Advanced Analytics can play a vital role in advanced transaction monitoring.
According to the United Nations office on drugs and crime (UNODC), USD 2 trillion worth of illegal money is annual. Another survey conducted by Basel anti-money laundering (AML) in 2018 pointed out that 64% of countries in the 2018 ranking (83/129) have a risk score of 5.0 or above and can be loosely classified as having a significant risk of money laundering and terrorist financing.
For instance,
- 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
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.
Los líderes del mercado de lucha contra el blanqueo de dinero de Asia y el Pacífico que operan en el mercado son:
- NIZA (Israel)
- IBM (Estados Unidos)
- Sanctions.io (Estados Unidos)
- Corporación Intel (Estados Unidos)
- Oracle (Estados Unidos)
- SAP SE (Alemania)
- Accenture (Estados Unidos)
- Solución de información de Experian
- Inc. (Irlanda)
- Corporación Open Text (Canadá)
- BAE Systems (Reino Unido)
- SAS Institute Inc (Estados Unidos)
- ACI Worldwide (Estados Unidos)
- Cognizant (Estados Unidos)
- Trulioo (Canadá)
- Sede de Temenos SA (Suiza)
- WorkFusion, Inc. (Estados Unidos)
- Inteligencia regulatoria de Vixio (Inglaterra)
Últimos avances en el mercado de lucha contra el blanqueo de capitales
- En septiembre de 2023, IBM anunció que su Centro de Pagos se unió al Programa de Socios de Swift, lo que generó nuevas oportunidades de colaboración con más de 11 000 miembros de Swift en todo el mundo. Esta asociación le permitió a IBM ofrecer soluciones de pago mejoradas y conectividad Swift de extremo a extremo basada en la nube, lo que redujo la necesidad de que los clientes administren el hardware y el software de Swift. La colaboración ayudó a las instituciones financieras a modernizar las plataformas de pago, acceder a tecnologías de IA y mejorar la eficiencia sin altos costos de desarrollo y cumplimiento.
- En abril de 2024, Oracle presentó Financial Services Compliance Agent, un servicio en la nube impulsado por IA diseñado para ayudar a los bancos a mitigar los riesgos de lucha contra el blanqueo de dinero (AML). Este servicio permite a los bancos realizar pruebas de escenarios rentables para ajustar los controles, identificar transacciones sospechosas y mejorar el cumplimiento. También ayuda a los bancos a evaluar y optimizar los sistemas de monitoreo de transacciones, evaluar los riesgos de nuevos productos y abordar de manera proactiva las tipologías de alto riesgo. Esta solución tiene como objetivo reducir los costos de cumplimiento y mejorar la eficacia de los programas AML.
- En enero, Oracle destacó sus soluciones integrales en la nube para bancos a través de Oracle Financial Services. La empresa destacó que los bancos están adoptando cada vez más servicios en la nube impulsados por los avances de la IA y el ML. Oracle ofrece un conjunto completo de soluciones fintech que están preparadas para la nube, son escalables y seguras, ofreciendo a los bancos una solución de un solo proveedor sin la necesidad de múltiples asociaciones fintech. La plataforma de Oracle admite más de 3000 microservicios y API abiertas, lo que ayuda a los bancos a realizar la transición desde los sistemas heredados y a mantenerse competitivos.
- En septiembre, Oracle y Quantifind anunciaron una colaboración estratégica para mejorar los procesos contra el lavado de dinero (AML). Las soluciones SaaS de Quantifind para investigaciones, debida diligencia del cliente y gestión de alertas se integraron con la plataforma de Oracle Financial Crime and Compliance Management. Esta asociación tenía como objetivo mejorar la eficiencia de AML hasta en un 30 % y agilizar los flujos de trabajo con inteligencia artificial avanzada y aprendizaje automático. La integración permitió a los clientes de Oracle acceder a datos completos y mejorar sus capacidades de cumplimiento de AML a través de una plataforma unificada.
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Tabla de contenido
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 Tablas
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 figuras
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 (%)
Metodología de investigación
La recopilación de datos y el análisis del año base se realizan utilizando módulos de recopilación de datos con muestras de gran tamaño. La etapa incluye la obtención de información de mercado o datos relacionados a través de varias fuentes y estrategias. Incluye el examen y la planificación de todos los datos adquiridos del pasado con antelación. Asimismo, abarca el examen de las inconsistencias de información observadas en diferentes fuentes de información. Los datos de mercado se analizan y estiman utilizando modelos estadísticos y coherentes de mercado. Además, el análisis de la participación de mercado y el análisis de tendencias clave son los principales factores de éxito en el informe de mercado. Para obtener más información, solicite una llamada de un analista o envíe su consulta.
La metodología de investigación clave utilizada por el equipo de investigación de DBMR es la triangulación de datos, que implica la extracción de datos, el análisis del impacto de las variables de datos en el mercado y la validación primaria (experto en la industria). Los modelos de datos incluyen cuadrícula de posicionamiento de proveedores, análisis de línea de tiempo de mercado, descripción general y guía del mercado, cuadrícula de posicionamiento de la empresa, análisis de patentes, análisis de precios, análisis de participación de mercado de la empresa, estándares de medición, análisis global versus regional y de participación de proveedores. Para obtener más información sobre la metodología de investigación, envíe una consulta para hablar con nuestros expertos de la industria.
Personalización disponible
Data Bridge Market Research es líder en investigación formativa avanzada. Nos enorgullecemos de brindar servicios a nuestros clientes existentes y nuevos con datos y análisis que coinciden y se adaptan a sus objetivos. El informe se puede personalizar para incluir análisis de tendencias de precios de marcas objetivo, comprensión del mercado de países adicionales (solicite la lista de países), datos de resultados de ensayos clínicos, revisión de literatura, análisis de mercado renovado y base de productos. El análisis de mercado de competidores objetivo se puede analizar desde análisis basados en tecnología hasta estrategias de cartera de mercado. Podemos agregar tantos competidores sobre los que necesite datos en el formato y estilo de datos que esté buscando. Nuestro equipo de analistas también puede proporcionarle datos en archivos de Excel sin procesar, tablas dinámicas (libro de datos) o puede ayudarlo a crear presentaciones a partir de los conjuntos de datos disponibles en el informe.
