아시아 태평양 자금세탁 방지 시장 규모, 점유율 및 추세 분석 보고서 – 산업 개요 및 2031년까지의 예측

보고서 사용자 지정 보고서 사용자 지정 지금 구매 지금 구매 무료 샘플 보고서 무료 샘플 보고서
집 Automotive Asia Pacific Anti Money Laundering Market
TOC 요청 TOC 요청 분석가에게 문의 분석가에게 문의 지금 구매 지금 구매 구매하기 전에 문의 구매하기 전에 문의 무료 샘플 보고서 무료 샘플 보고서

아시아 태평양 자금세탁 방지 시장 규모, 점유율 및 추세 분석 보고서 – 산업 개요 및 2031년까지의 예측

  • Automotive
  • Published Report
  • Sep 2024
  • Asia-Pacific
  • 350 Pages
  • 테이블 수: 198
  • 그림 수: 30
지금 구매 지금 구매

Asia Pacific Anti Money Laundering Market

시장 규모 (USD 10억)

연평균 성장률 :  % Diagram

Diagram 예측 기간
 2024 –2031
Diagram 시장 규모(기준 연도)
 USD 803.54 Million
Diagram 시장 규모(예측 연도)
 USD 2,330.37 Million
Diagram 연평균 성장률
 %
Diagram주요 시장 플레이어
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잠금 해제 요청

아시아 태평양 자금세탁 방지 시장 세분화, 제공 항목(솔루션 및 서비스), 기능(규정 준수 관리, 고객 신원 관리, 거래 모니터링, 통화 거래 보고 등), 배포(클라우드 및 온프레미스), 기업 규모(대기업 및 중소기업), 최종 사용( 은행 및 금융 기관, 보험 제공업체, 정부, 게임 및 도박 등) - 업계 동향 및 2031년까지의 예측.

아시아 태평양 자금세탁방지 시장

아시아 태평양 자금세탁 방지 시장 분석

아시아 태평양 자금세탁 방지 시장은 금융 범죄 패턴을 평가하는 거래 모니터링 시스템에 대한 수요 증가로 인해 성장을 목격했습니다. 이는 테러 자금 조달, 사기, 마약 거래, 뇌물, 부패, 신원 도용과 같은 금융 범죄를 탐지하는 다양한 다른 응용 프로그램에서 사용할 수 있으며, 이는 국가 경제에 상당한 영향을 미칠 수 있습니다. 최근 AML 솔루션은 보험 회사, 상업 은행, 인터넷 은행, 리테일 뱅킹, 보험 회사, 모기지 회사 등 다양한 금융 기관에서 인기를 얻고 있습니다. 또한 게임 및 도박 산업, 부동산 산업, 환전(MSB), 지불 산업, 투자 산업, 전 세계 정부 기관 등 다양한 산업에서 인기를 얻고 있습니다.

아시아 태평양 자금세탁 방지 시장 규모

Data Bridge Market Research에 따르면 아시아태평양 지역 자금세탁 방지 시장은 2023년 8억 354만 달러에서 2031년 2억 3,037만 달러로 성장할 것으로 예상되며, 2024년에서 2031년까지의 예측 기간 동안 연평균 성장률은 14.4%로 성장할 것으로 예상됩니다.  

아시아 태평양 자금세탁 방지 시장 동향

“금융범죄 탐지 노력 강화”

금융 범죄 탐지 활동이 증가함에 따라 자금 세탁 방지(AML) 조치에 대한 감시가 강화되어 규정 준수 및 시스템 동향 모니터링을 강화하는 데 중점을 두고 있습니다. 금융 기관은 의심스러운 거래와 자금 세탁을 나타내는 패턴을 식별하기 위해 보다 엄격한 절차를 시행하고 있습니다. 이러한 조치에는 내부 통제 강화, 거래 보고 관행 개선, 규제 기관과의 협력 강화가 포함됩니다. 투명성과 책임성을 강화하려는 노력은 금융 범죄 네트워크를 방해하고 불법 자금 흐름을 줄이는 것을 목표로 합니다. 조직은 포괄적인 AML 프레임워크를 채택함으로써 위험을 완화하고 금융 시스템의 무결성을 보호하고자 합니다. 이러한 사전 예방적 접근 방식은 금융 범죄와 싸우고 규제 준수를 유지하기 위한 보다 광범위한 노력을 반영합니다.

보고 범위 및 자금세탁 방지 시장 세분화

보고서 메트릭

아시아 태평양 자금세탁 방지 시장 통찰력

다루는 세그먼트
  • 제공: 솔루션 및 서비스 
  • 기능별: 규정 준수 관리, 고객 ID 관리, 거래 모니터링 , 통화 거래 보고 및 기타
  • 배포별: 클라우드 및 온프레미스
  • 기업 규모: 대기업, 중소기업
  • 최종 사용: 은행 및 금융 기관, 보험 제공자, 정부, 게임 및 도박 , 기타

적용 국가

중국, 일본, 인도, 한국, 호주, 싱가포르, 말레이시아, 태국, 인도네시아, 필리핀, 대만, 베트남 및 아시아 태평양의 나머지 지역

주요 시장 참여자

BAE Systems, NICE, SAP SE, Open Text Corporation, ACI Worldwide, Accenture, Oracle, Cognizant, Intel Corporation, IBM 등이 있습니다.

시장 기회
  • AML에서 고급 분석 채택 증가
  • AML 솔루션 개발에 AI와 ML 통합

부가가치 데이터

Data Bridge Market Research팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, PESTLE 분석이 포함되어 있습니다.

아시아 태평양 자금세탁방지 시장 정의

자금세탁방지(AML) 솔루션은 자금세탁, 테러자금조달, 사기, 전자범죄, 뇌물 및 부패, 탈세, 횡령, 정보보안, 불법적인 국경간 거래 등을 탐지하고 기관에 경고하는 데 사용되며, 이는 국가 경제에 큰 영향을 미치고 국가 평판을 손상시킬 수 있습니다. AML은 일반적으로 자금세탁 및 금융범죄와의 싸움을 묘사하는 데 사용되는 용어입니다. 자금세탁방지(AML) 솔루션은 금융 범죄 를 예방하는 데 도움이 되는 다양한 정책, 법률 및 규정을 준수합니다 . 이러한 지침, 정책 및 법률은 전 세계에 있는 현지 규제 기관에서 설정하여 AML 솔루션의 기능을 강화하는 것을 목표로 합니다.

아시아 태평양 자금세탁 방지 시장 동향

이 섹션에서는 시장 동인, 이점, 기회, 제약 및 과제를 이해하는 것을 다룹니다. 이 모든 내용은 아래에서 자세히 설명합니다.

운전자

  • 금융 범죄 탐지 노력 강화

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
  • Services
    • Type
      • Integration
      • Support and Maintenance
      • Training and Consulting

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
    • Application
      • Live Entertainment/Online
        • Type
          • Hotels
          • Multiple Dining Options
          • Others
      • Offline/Land Based
        • Type
          • Mobile
          • Desktop
      • Sports Betting
        • Type
          • Football
          • E-sports
          • Horse racing
          • Others
      • Lottery
      • Bingo
      • Raffles/Pools
  • 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.

아시아 태평양 지역의 자금세탁 방지 시장 선도 기업은 다음과 같습니다.

  • NICE(이스라엘)
  • IBM(미국)
  • sanctions.io (미국)
  • 인텔 코퍼레이션(미국)
  • 오라클(미국)
  • SAP SE(독일)
  • 액센추어(미국)
  • Experian 정보 솔루션
  • 주식회사(아일랜드)
  • 오픈 텍스트 코퍼레이션(캐나다)
  • BAE 시스템(영국)
  • SAS Institute Inc(미국)
  • ACI 월드와이드(미국)
  • 인지(미국)
  • 트룰리우(캐나다)
  • Temenos 본사 SA(스위스)
  • WorkFusion, Inc, (미국)
  • Vixio 규제 정보(영국)

 자금세탁방지 시장의 최신 동향 

  • 2023년 9월, IBM은 자사의 Payments Center가 Swift Partner Programme에 가입하여 전 세계 11,000명 이상의 Swift 회원과 새로운 협업 기회를 창출했다고 발표했습니다. 이 파트너십을 통해 IBM은 향상된 결제 솔루션과 엔드투엔드 클라우드 기반 Swift 연결을 제공하여 고객이 Swift 하드웨어와 소프트웨어를 관리할 필요성을 줄일 수 있었습니다. 이 협업을 통해 금융 기관은 높은 개발 및 규정 준수 비용 없이 결제 플랫폼을 현대화하고 AI 기술에 액세스하며 효율성을 개선할 수 있었습니다.
  • 2024년 4월, Oracle은 은행이 자금세탁방지(AML) 위험을 완화하도록 돕기 위해 설계된 AI 기반 클라우드 서비스인 Financial Services Compliance Agent를 출시했습니다. 이 서비스를 통해 은행은 비용 효율적인 시나리오 테스트를 수행하여 통제를 조정하고, 의심스러운 거래를 식별하고, 규정 준수를 강화할 수 있습니다. 또한 은행이 거래 모니터링 시스템을 평가하고 최적화하고, 신제품 위험을 평가하고, 고위험 유형을 사전에 해결하는 데 도움이 됩니다. 이 솔루션은 규정 준수 비용을 줄이고 AML 프로그램의 효과를 개선하는 것을 목표로 합니다.
  • 1월에 Oracle은 Oracle Financial Services를 통해 은행을 위한 포괄적인 클라우드 솔루션을 강조했습니다. 이 회사는 은행들이 AI와 ML 발전에 의해 주도되는 클라우드 서비스를 점점 더 많이 도입하고 있다고 강조했습니다. Oracle은 클라우드 지원, 확장성 및 보안성이 뛰어난 전체 핀테크 솔루션을 제공하여 은행에 여러 핀테크 파트너십 없이 단일 공급업체 솔루션을 제공합니다. Oracle의 플랫폼은 3,000개 이상의 마이크로서비스와 개방형 API를 지원하여 은행이 레거시 시스템에서 전환하고 경쟁력을 유지할 수 있도록 지원합니다.
  • 9월에 Oracle과 Quantifind는 자금세탁방지(AML) 프로세스를 개선하기 위한 전략적 협업을 발표했습니다. Quantifind의 조사, 고객 실사 및 경고 관리를 위한 SaaS 솔루션은 Oracle의 금융 범죄 및 규정 준수 관리 플랫폼과 통합되었습니다. 이 파트너십은 AML 효율성을 최대 30%까지 개선하고 고급 AI 및 머신 러닝으로 워크플로를 간소화하는 것을 목표로 했습니다. 이 통합을 통해 Oracle 클라이언트는 통합 플랫폼을 통해 포괄적인 데이터에 액세스하고 AML 규정 준수 역량을 강화할 수 있었습니다.

SKU-

세계 최초의 시장 정보 클라우드 보고서에 온라인으로 접속하세요

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  • 대화형 데이터 분석 대시보드
  • 높은 성장 잠재력 기회를 위한 회사 분석 대시보드
  • 사용자 정의 및 질의를 위한 리서치 분석가 액세스
  • 대화형 대시보드를 통한 경쟁자 분석
  • 최신 뉴스, 업데이트 및 추세 분석
  • 포괄적인 경쟁자 추적을 위한 벤치마크 분석의 힘 활용
데모 요청

목차

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

표 목록

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)

그림 목록

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 (%)

자세한 정보 보기 Right Arrow

연구 방법론

데이터 수집 및 기준 연도 분석은 대규모 샘플 크기의 데이터 수집 모듈을 사용하여 수행됩니다. 이 단계에는 다양한 소스와 전략을 통해 시장 정보 또는 관련 데이터를 얻는 것이 포함됩니다. 여기에는 과거에 수집한 모든 데이터를 미리 검토하고 계획하는 것이 포함됩니다. 또한 다양한 정보 소스에서 발견되는 정보 불일치를 검토하는 것도 포함됩니다. 시장 데이터는 시장 통계 및 일관된 모델을 사용하여 분석하고 추정합니다. 또한 시장 점유율 분석 및 주요 추세 분석은 시장 보고서의 주요 성공 요인입니다. 자세한 내용은 분석가에게 전화를 요청하거나 문의 사항을 드롭하세요.

DBMR 연구팀에서 사용하는 주요 연구 방법론은 데이터 마이닝, 시장에 대한 데이터 변수의 영향 분석 및 주요(산업 전문가) 검증을 포함하는 데이터 삼각 측량입니다. 데이터 모델에는 공급업체 포지셔닝 그리드, 시장 타임라인 분석, 시장 개요 및 가이드, 회사 포지셔닝 그리드, 특허 분석, 가격 분석, 회사 시장 점유율 분석, 측정 기준, 글로벌 대 지역 및 공급업체 점유율 분석이 포함됩니다. 연구 방법론에 대해 자세히 알아보려면 문의를 통해 업계 전문가에게 문의하세요.

사용자 정의 가능

Data Bridge Market Research는 고급 형성 연구 분야의 선두 주자입니다. 저희는 기존 및 신규 고객에게 목표에 맞는 데이터와 분석을 제공하는 데 자부심을 느낍니다. 보고서는 추가 국가에 대한 시장 이해(국가 목록 요청), 임상 시험 결과 데이터, 문헌 검토, 재생 시장 및 제품 기반 분석을 포함하도록 사용자 정의할 수 있습니다. 기술 기반 분석에서 시장 포트폴리오 전략에 이르기까지 타겟 경쟁업체의 시장 분석을 분석할 수 있습니다. 귀하가 원하는 형식과 데이터 스타일로 필요한 만큼 많은 경쟁자를 추가할 수 있습니다. 저희 분석가 팀은 또한 원시 엑셀 파일 피벗 테이블(팩트북)로 데이터를 제공하거나 보고서에서 사용 가능한 데이터 세트에서 프레젠테이션을 만드는 데 도움을 줄 수 있습니다.

자주 묻는 질문

The market value for the Asia Pacific Anti-Money Laundering Market in 2023 was USD 803 million.
The Asia Pacific Anti-Money Laundering Market is estimated to grow at a CAGR of 14.4% during the forecast period of 2024 to 2031.
Increased financial crimes detection effort, increasing stringent regulations and compliance for AML, growing demand for AML identification and rise in online gambling platforms are the major market drivers for the Asia Pacific Anti-Money Laundering Market .
Accenture (Ireland), ORACLE (U.S.), Cognizant (U.S.), Intel Corporation (U.S.), IBM (U.S.) are the major companies operating in this market.
The countries covered in the report China, Japan, South Korea, India, Taiwan, Vietnam, New Zealand, Australia, Philippines, Thailand, Malaysia, Singapore, Indonesia and the rest of Asia-Pacific.

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