자금 세탁 방지 솔루션 시장 조사 – 규모, 점유율, 개발 및 미래 범위 2031

  • Report Code : TIPRE00010790
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 214
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자금세탁 방지 솔루션 시장은 2020년 17억 6439만 달러에서 2027년 58억 6651만 달러로 성장할 것으로 예상됩니다. 2020년부터 2027년까지 CAGR 16.2%로 성장할 것으로 예상됩니다.

고급 분석 도입이 급증하는 것은 시장 성장에 기인합니다. 최근에는 기계 학습, 데이터 과학, 예측 데이터 분석을 위한 알고리즘 생성 능력의 급속한 발전으로 인해 금융 생태계가 변화되었습니다. 최근 머신러닝은 은행 시스템, 특히 숨겨진 패턴과 의심스러운 자금세탁 활동을 탐지하는 분야에서 큰 가능성을 갖고 있는 것으로 입증되었습니다. 머신 러닝은 자금 세탁 유형, 이상하고 의심스러운 거래, 고객의 행동 변화, 동일한 지역, 연령, 그룹 및 기타 신원에 속하는 고객의 거래를 쉽게 식별하고 오탐을 줄이는 데 도움이 됩니다. 또한 주요 엔터티에 대한 유사한 거래를 분석하고 규제 보고서에서 의심스러운 것으로 표시된 경고를 연관시키는 데 도움이 됩니다. AML 솔루션의 기계 학습 및 데이터 과학이 제공하는 고급 기능이 시장을 주도할 것으로 예상됩니다.

또한 자금 세탁이 은행을 이용하는 새로운 방법을 계속 모색함에 따라 불법 활동의 경우 세탁 활동을 적시에 탐지하는 것이 효율적인 AML을 구현하는 데 가장 어려운 측면입니다. 수많은 기업들이 자금세탁을 탐지, 추적, 방지할 수 있는 혁신적인 기술을 출시하고 있습니다. 예를 들어, 2020년 3월 Infotech Limited는 은행과 금융 기관이 복잡한 AML 패턴을 인식할 수 있게 해주는 고급 AML 솔루션인 AMLOCK Analytics를 출시했습니다. AI와 기계 언어로 구동되는 이 솔루션은 기업이 높은 오탐률을 처리해야 하는 중요한 과제를 해결하고 경고를 면밀히 조사하는 완전한 보기를 제공하는 데 도움이 됩니다. 고급 분석의 사용이 늘어나면 자금 세탁이 통제될 것입니다. 따라서 AML 솔루션에 대한 수요가 높아질 것입니다.

COVID-19 팬데믹이 자금세탁방지 솔루션 시장에 미치는 영향

코로나19- 19 위기는 전 세계 산업에 영향을 미치고 있으며, 세계 경제는 2020년과 2021년에도 최악의 타격을 입을 것으로 예상됩니다. 그러나 BFSI 산업은 디지털 뱅킹 솔루션의 증가로 인해 전 세계적인 유행병 속에서도 여전히 호황을 누리고 있습니다.  예를 들어, 미국은 자금세탁 방지 솔루션의 주요 시장입니다. 이 지역의 범죄자들은 전 세계적인 유행병으로 인한 혼란을 이용하여 전자 수단을 통한 사기, 위조 제품 판매, 사이버 범죄 등 수많은 범죄로부터 이익을 얻고 있습니다. 이러한 위협을 방지하기 위해 자금세탁 방지 조치에 참여하는 커뮤니티는 문제를 식별하는 조치를 취하고 있습니다. 테러 자금 조달 및 자금 세탁에 대한 국제 협력은 글로벌 팬데믹으로 인해 부정적인 영향을 받지 않는 것으로 보입니다.

자금 세탁 방지 솔루션 시장의 수익성이 높은 지역
< br />
 

시장 통찰력–자금세탁 방지 솔루션 시장

은행 및 기타 금융 기관 간 정보 공유< /p>

정보 공유는 규제 기관과 은행 사이에서 성공을 거두었지만 시장에서는 향후 몇 년 동안 소규모 금융 기관 사이에서 더욱 널리 퍼질 것으로 예상됩니다. 이러한 추세가 성공할 수 있도록 자금세탁 방지 시장 환경에서도 협업 문화가 나타날 수 있습니다. 또한, 시장은 지역 규제 및 개인 정보 보호 법률의 불일치를 포함하여 정보 공유에 다양한 장애물을 경험할 것으로 예상됩니다. 시간이 지나면서 정보 공유는 금융 범죄를 효과적으로 퇴치하는 데 매우 중요한 요소로 발전했습니다. 전 세계 기업들은 제보 위협과 개인 정보 보호 관련 문제로 인해 정보를 공유하지 않는 전통적인 추세에 직면해 있습니다. 앞으로 몇 년 동안 핀테크와 기술은 정보 공유 프로세스를 구조화하는 데 상당한 영향을 미칠 것으로 예상됩니다.

구성 요소 기반 통찰력

구성 요소를 기반으로 자금 세탁 방지 솔루션 시장은 소프트웨어와 서비스로 분류됩니다. 2019년에는 소프트웨어 부문이 가장 큰 시장 점유율을 차지했습니다.

전략적 통찰력

자금세탁 방지 솔루션 시장에서 활동하는 플레이어는 주로 다음에 중점을 두고 있습니다. 효율적이고 진보된 제품 개발.

  • 2020년 BAE Systems Applied Intelligence는 Amazon Web Services(AWS)에서 완벽한 안티 서비스를 제공하는 새로운 제품을 발표했습니다. -자금세탁 규제 준수 솔루션.
  • 2020년 OpenText는 Amazon Web Services(AWS)와 새로운 파트너십을 선언했습니다. 이 계약을 통해 OpenText는 비즈니스에 중요한 정보 관리 솔루션을 배포하는 데 고객에게 더 많은 선택권을 제공할 것입니다.

자금 세탁 방지 솔루션 시장은 다음과 같이 분류됩니다. 다음:

글로벌 자금 세탁 방지 소프트웨어 시장 - 배포 유형별

  • 온프레미스
  • 클라우드


글로벌 자금세탁방지 소프트웨어 시장 - 구성요소별

  • 소프트웨어
  • 서비스
  • < /ul>


    글로벌 자금세탁 방지 소프트웨어 시장 - 제품별

    • 거래 모니터링
    • 규정 준수 관리
    • 환전 거래 보고
    • 고객 신원 관리


    글로벌 자금 세탁 방지 소프트웨어 시장 - 업종별

    • 의료
    • BFSI
    • 소매
    • IT & 통신
    • 정부
    • 기타


    자금세탁방지 솔루션 시장 – 지역별

    • 북미
      • 미국
      • 캐나다
      • 멕시코
    • < li>유럽
      • 프랑스
      • 독일
      • 이탈리아
      • 러시아
      • 영국
      • 나머지 유럽
    • 아시아 태평양(APAC)
      • 일본
      • 중국
      • 호주
      • < li>인도
      • 대한민국
      • APAC 나머지 지역
    • 중동 및 아프리카(MEA)
      • 사우디아라비아
      • UAE
      • 남아프리카
      • 나머지 MEA
    • 남아메리카(SAM)< ul>
    • 브라질
    • 아르헨티나
    • SAM의 나머지 지역
< h3>자금세탁방지 솔루션 시장 – 회사 프로필
  • ACI Worldwide
  • SAS Institute
  • Oracle Corporation
  • BAE Systems
  • Accenture
  • Verafin Inc.
  • Safe Banking Systems LLC
  • Eastnets Holding Ltd.
  • Ascent Technology Consulting
  • 오픈텍스트 코퍼레이션
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


Which factor is driving the anti-money laundering solution market?

The growth in technological advancements is increasing the number of cyber criminals. However, FinTech firms have the potential to help banks around the world to stay competitive in the global market. Whether tracking digital currency, machine learning, or connecting data, more robust systems combined with advances in technology has opened up possibilities in the fight against money laundering. With increasing consumer adoption and subsequent transaction volumes in competitive FinTech firms in 2019, many firms shifted to automated anti-money laundering practices. The automated anti-money laundering system provides a negligible amount of false positives compared to those generated by traditional data and technology. This reduces the adverse effects of false positives and higher operational costs. In December 2020, due to the growing connection between FinTech and AML solutions, the Association of Certified anti-money laundering Specialists has announced the launch of a new certification program for FinTech firms who are seeking to meet regulatory standards in a growing market. The association has developed the Certified AML FinTech Compliance Associate program in collaboration with FINTRAIL. The program is built to increase the compliance toolkit of FinTech personnel working in financial crime prevention at the entry-level. Thus, increasing focus of FinTech on implementing AML solutions is propelling the market growth.

Which deployment led the anti-money laundering solution market?

The on-premise segment led the anti-money laundering solution market.The on-premise deployments provide a huge benefit to the enterprises by enabling it to preserve all their business processes and current internal systems, such as authentication and access privileges. In addition to this, enterprises can implement their own data security standards and controls as entire process is housed within their restriction. In addition, the organizations have the provision to easily leverage existing hardware investments while also providing their employees with a pure cloud-like experience

What factors are providing opportunities for anti-money laundering solution market?

The adoption of crypto currency is expected to continue its course. However, this is expected to raise concern among the firms regarding anti-money laundering compliance. The local as well as global authorities have combatted with the AML risk, economies—such as Japan and Switzerland has adopted a considered approach allowed for trade and investment, and others—such as China and South Korea—opting for tight restrictions on exchanges and mining. The changes introduced by the adoption of crypto currency are anticipated to provide the AML software developers with an opportunity to diversify their offerings to new applications and end users.

The List of Companies - Anti-Money Laundering Solution Market

  1. Accenture
  2. ACI WORLDWIDE, INC
  3. BAE Systems plc
  4. EastNets.com
  5. LexisNexis Risk Solutions Group
  6. Nasdaq Inc
  7. NICE Ltd.
  8. Open Text Corporation
  9. Oracle Corporation
  10. SAS Institute Inc.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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