マネーロンダリング対策ソリューション市場 - 2031年の成長予測、統計および事実

  • Report Code : TIPRE00010790
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 214
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マネーロンダリング対策ソリューション市場は、2020 年の 17 億 6,439 万米ドルから 2027 年までに 58 億 6,651 万米ドルに成長すると予想されています。 2020 年から 2027 年にかけて 16.2% の CAGR で成長すると推定されています。

高度な分析の導入の急増が市場の成長に寄与しています。最近、金融エコシステムは、機械学習、データサイエンス、および予測データ分析のためのアルゴリズムを生成する能力の急速な発展によって変革されてきました。最近では、機械学習が銀行システム、特に隠れたパターンや疑わしいマネーロンダリング活動の検出の分野で大きな可能性を秘めていることが証明されています。機械学習は、マネーロンダリングの類型、奇妙で不審な取引、顧客の行動推移、同じ地域、年齢、グループ、その他のアイデンティティに属する顧客の取引の特定を容易にし、誤検知の削減に役立ちます。また、主要なエンティティの同様のトランザクションを分析し、規制レポートで疑わしいとフラグが付けられたアラートを相互に関連付けるのにも役立ちます。 AML ソリューションの機械学習とデータ サイエンスによって提供される高度な機能は、市場を牽引すると予想されます。

さらに、マネーロンダーは銀行の新たな利用方法を模索し続けています。違法行為の場合、効率的な AML を実装する上で最も困難な点は、ロンダリング行為をタイムリーに検出することです。多くの企業が、マネーロンダリングを検出、追跡、防止できる革新的なテクノロジーを発表しています。たとえば、2020 年 3 月に Infotech Limited は、銀行や金融機関が複雑な AML パターンを認識できるようにする高度な AML ソリューション AMLOCK Analytics を導入しました。 AI と機械語を活用したこのソリューションは、企業が高頻度の誤検知に対処するという重要な課題に対処し、アラートを精査するための完全なビューを提供するのに役立ちます。高度な分析の利用が拡大すれば、マネーロンダリングが制御されるでしょう。したがって、AML ソリューションの需要が高まると考えられます。

マネー ロンダリング対策ソリューション市場に対する新型コロナウイルス感染症のパンデミックの影響

新型コロナウイルス -米国同時多発テロは世界中の産業に影響を及ぼしており、世界経済は 2020 年に最悪の打撃を受けると予想されており、おそらく 2021 年にも影響を受けると予想されています。しかし、デジタル バンキング ソリューションの台頭により、BFSI 業界は世界的なパンデミックの中でも依然として活況を呈しています。  たとえば、米国はマネーロンダリング対策ソリューションの著名な市場です。この地域の犯罪者は、世界的なパンデミックによって引き起こされた混乱を利用して、電子的手段による詐欺、偽造品の販売、サイバー犯罪などの数多くの犯罪から利益を得ています。このような脅威を防ぐために、マネーロンダリング対策に取り組んでいるコミュニティは、課題を特定するための措置を講じています。テロ資金供与とマネーロンダリングに対する国際協力は、世界的なパンデミックによって悪影響を受けていないようです。

マネーロンダリング対策ソリューション市場で有利な地域
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市場洞察–マネーロンダリング対策ソリューション市場

銀行およびその他の金融機関間の情報共有< /p>

情報共有は規制当局や銀行の間で成功を収めていますが、市場では今後数年間で小規模な金融機関の間で情報共有がさらに普及すると予想されています。この傾向を確実に成功させるために、マネーロンダリング対策市場では協力の文化が見られるかもしれません。さらに、市場は情報共有においてさまざまな障害に直面すると予測されており、これには地域規制やプライバシー法の不一致などが含まれる可能性があります。その間、情報共有は金融犯罪と効果的に戦うために非常に重要なものへと進化してきました。世界中の企業は、情報漏洩の脅威やプライバシー関連の問題のために情報を共有しないという従来の傾向に関する課題を経験してきました。今後数年間、FinTech とテクノロジーは情報共有プロセスの構築に大きな影響を与えると予想されます。

コンポーネントベースの洞察

コンポーネントに基づいて、マネーロンダリング対策ソリューション市場はソフトウェアとサービスに分類されます。ソフトウェア部門は、2019 年に最大の市場シェアを保持しました。

戦略的洞察

マネーロンダリング対策ソリューション市場で活動するプレーヤーは、主に以下に焦点を当てています。高度で効率的な製品の開発。

  • 2020 年、BAE Systems Applied Intelligence は、完全なアンチウイルス製品を提供するためにアマゾン ウェブ サービス (AWS) 上で新たなサービスを提供すると宣言しました。 - マネーロンダリング規制順守ソリューション。
  • 2020 年、OpenText はアマゾン ウェブ サービス (AWS) との新たなパートナーシップを宣言しました。この契約により、OpenText は、ビジネスクリティカルな情報管理ソリューションを導入する際のより大きな選択肢を顧客に提供します。

マネーロンダリング対策ソリューション市場は次のように分類されます。

世界のマネーロンダリング対策ソフトウェア市場 - 導入タイプ別

  • オンプレミス
  • クラウド


世界のマネーロンダリング対策ソフトウェア市場 - コンポーネント別

  • ソフトウェア
  • サービス
  • < /ul>


    世界のマネーロンダリング対策ソフトウェア市場 - 製品別

    • トランザクション監視
    • コンプライアンス管理
    • 通貨取引レポート
    • 顧客 ID 管理


    世界のマネーロンダリング対策ソフトウェア市場 - 業界別

    • ヘルスケア
    • BFSI
    • 小売
    • IT と通信
    • 政府
    • その他


    マネーロンダリング対策ソリューション市場 –地理別

    • 北アメリカ
      • 米国
      • カナダ
      • メキシコ
    • < li>ヨーロッパ
      • フランス
      • ドイツ
      • イタリア
      • ロシア
      • 英国
      • 残りヨーロッパ
    • アジア太平洋 (APAC)
      • 日本
      • 中国
      • オーストラリア
      • < li>インド
      • 韓国
      • アジア太平洋地域のその他の地域
    • 中東およびアフリカ (MEA)
      • サウジアラビア
      • アラブ首長国連邦
      • 南アフリカ
      • MEAの残りの部分
    • 南アメリカ(SAM)< ul>
    • ブラジル
    • アルゼンチン
    • SAM の残りの部分
< h3>マネーロンダリング対策ソリューション市場 –会社概要
  • ACI ワールドワイド
  • SAS Institute
  • Oracle Corporation
  • BAE Systems
  • アクセンチュア
  • Verafin Inc.
  • Safe Banking Systems LLC
  • Eastnets Holding Ltd.
  • Ascent Technology Consulting
  • オープンテキスト株式会社
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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