サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
表紙：アンチマネーロンダリングの世界市場 - 市場規模、シェア、動向分析、機会、予測レポート：タイプ別、展開モード別、組織規模別、エンドユーザー別、地域別（2019年～2029年）
市場調査レポート
商品コード
1186478

アンチマネーロンダリングの世界市場 - 市場規模、シェア、動向分析、機会、予測レポート：タイプ別、展開モード別、組織規模別、エンドユーザー別、地域別（2019年～2029年）

Anti-Money Laundering Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Type ; By Deployment Mode ; By Organization Size ; By End User ; By Region
出版日: | 発行: Blueweave Consulting | ページ情報: 英文 220 Pages | 納期: 2～3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.58円
アンチマネーロンダリングの世界市場 - 市場規模、シェア、動向分析、機会、予測レポート：タイプ別、展開モード別、組織規模別、エンドユーザー別、地域別（2019年～2029年）
出版日: 2023年01月12日
発行: Blueweave Consulting
ページ情報: 英文 220 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

世界のアンチマネーロンダリングの市場規模は、2022年は29億米ドルと推定され、2023年から2029年までの予測期間中に15.5%のCAGRで著しい成長を記録し、2029年には78億米ドルの規模に達すると予想されています。市場の成長を後押しする主な要因には、マネーロンダリング防止への関心の高まり、厳しい規制要件の遵守に対する組織への要求の高まり、非現金取引量の増加などが挙げられます。一方で、技術の複雑化と初期コストの高さなどが、市場の成長を妨げると予想されています。

当レポートでは、世界のアンチマネーロンダリング市場を調査しており、市場の概要、市場規模や予測、動向、促進要因・抑制要因、タイプ別・展開モード別・組織規模別・エンドユーザー別・地域別の分析、および企業プロファイルなどの包括的な情報を提供しています。

目次

第1章 調査の枠組み

第2章 エグゼクティブサマリー

第3章 世界のアンチマネーロンダリング市場の洞察

  • 業界バリューチェーン分析
    • DROC分析
    • 成長促進要因
      • マネーロンダリング事件の増加
      • 組織が厳しい規制要件に準拠する必要性の高まり
      • 非現金取引の増加
    • 抑制要因
      • 技術的複雑性の増大
    • 機会
      • 金融犯罪に対抗するためのクラウドベースのAMLソリューションの採用増加
      • AMLにおける高度な分析の採用増加
    • 課題
      • リスク評価に利用できる限られたデータ
  • 技術の進歩/最近の開発
  • 規制の枠組み
  • ポーターのファイブフォース分析
    • 供給企業の交渉力
    • 買い手の交渉力
    • 新規参入業者の脅威
    • 代替品の脅威
    • 競争の激しさ

第4章 世界のアンチマネーロンダリング市場概要

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
      • ソリューション
      • サービス
    • 展開モード別
      • クラウド
      • オンプレミス
    • 組織規模別
      • 大企業
      • 中小企業
    • エンドユーザー別
      • 銀行・その他の金融機関
      • 保険会社
      • ゲーム・ギャンブル部門
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋
      • ラテンアメリカ
      • 中東・アフリカ

第5章 北米のアンチマネーロンダリング市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
    • 展開モード別
    • 組織規模別
    • エンドユーザー別
    • 国別
      • 米国
      • カナダ

第6章 欧州のアンチマネーロンダリング市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
    • 展開モード別
    • 組織規模別
    • エンドユーザー別
    • 国別
      • ドイツ
      • 英国
      • イタリア
      • フランス
      • スペイン
      • オランダ
      • ベルギー
      • 北欧諸国
      • その他の欧州

第7章 アジア太平洋のアンチマネーロンダリング市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
    • 展開モード別
    • 組織規模別
    • エンドユーザー別
    • 国別
      • 中国
      • インド
      • 日本
      • 韓国
      • オーストラリア・ニュージーランド
      • インドネシア
      • マレーシア
      • シンガポール
      • フィリピン
      • ベトナム
      • その他のアジア太平洋

第8章 ラテンアメリカのアンチマネーロンダリング市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
    • 展開モード別
    • 組織規模別
    • エンドユーザー別
    • 国別
      • ブラジル
      • メキシコ
      • アルゼンチン
      • ペルー
      • コロンビア
      • その他のラテンアメリカ

第9章 中東・アフリカのアンチマネーロンダリング市場

  • 市場規模と予測（2019年～2029年）
    • 金額別
  • 市場シェアと予測
    • タイプ別
    • 展開モード別
    • 組織規模別
    • エンドユーザー別
    • 国別
      • サウジアラビア
      • アラブ首長国連邦
      • カタール
      • クウェート
      • 南アフリカ
      • ナイジェリア
      • エジプト
      • その他の中東・アフリカ

第10章 競合情勢

  • 主な企業とその製品のリスト
  • 世界のアンチマネーロンダリング企業の市場シェア分析、2022年
  • 運用パラメータ別の競合ベンチマーキング
  • 主要な戦略的展開（合併、買収、パートナーシップなど）

第11章 世界のアンチマネーロンダリング市場に対するCOVID-19の影響

第12章 企業プロファイル（会社概要、財務マトリックス、競合情勢、主要な人材、主要な競合、連絡先、戦略的展望、SWOT分析）

  • Nice Actimize
  • SAS Institute Inc.
  • BAE Systems
  • FICO
  • ACI Worldwide
  • Oracle
  • Experian
  • Fiserv
  • LexisNexis
  • FIS
  • Nelito Systems
  • Wolters Kluwer Financial Services, Inc
  • Comarch Sa（Comarch）
  • Allsec Technologies Ltd.
  • Dixtior
  • Temenos
  • TCS
  • ComplyAdvantage
  • Featurespace
  • その他の有力企業

第13章 主要な戦略的推奨事項

第14章 調査手法

目次
Product Code: BWC23035

Global Anti-Money Laundering (AML) Market Size Set to Cross USD 7.8 billion by 2029.

Global anti-money laundering market is flourishing because of an increasing focus on the prevention of money laundering activities, growing requirement for organizations to comply with stringent regulatory requirements, and rising volume of non-cash transactions.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global anti-money laundering (AML) market size at USD 2.9 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects the global anti-money laundering market size to grow at an impressive CAGR of 15.5% reaching a value of USD 7.8 billion by 2029. Major factors for the expansion of global anti-money laundering market include increasing money laundering cases across the globe, increasing need for organizations to comply with stringent regulatory requirements, and rising volume of non- cash transactions. Also, monetary fines, regulatory sanctions, and reputational loss due to non-compliance with regulations, rising attention towards digital payments, and necessity to build a 360-degree picture of data in the financial landscape. Increased spending on information technology (IT) is increasing demand for AML solutions. Therefore, all these factors are expected to boost the expansion of global anti-money laundering market during period in analysis. However, increasing technology complexities and high initial cost are anticipated to hinder the growth of global anti-money laundering market during the period in analysis.

Global Anti-Money Laundering Market - Overview

Anti-Money Laundering (AML) is a set of regulations, processes, and technologies meant to prevent cash from being laundered. It is used to track potentially fraudulent actions within government networks and large financial institutions. Money laundering is the concealment of illegally obtained funds as originating from a legitimate source. It entails "cleaning" the funds via a series of economic transactions. Money, for example, may be placed in a firm and disguised as sales revenue to conceal its source. Money laundering is illegal in and of itself: Anti-Money Laundering Controls- Incarceration Several governments, financial institutions, and businesses are taking steps to combat money laundering. The first is state-sponsored criminality. The United Nations Convention against Transnational Organized Crime established rules to aid countries in prosecuting individuals involved in money laundering schemes. Get to know your customers - Financial institutions must also have "know your customer" (KYC) measures in place in order to combat money laundering. This requires monitoring clients' behavior and recognizing the types of transactions that may raise red flags. Any suspicious behavior by a financial institution must be reported to a financial investigative unit. Record Management and Filtering Software- Financial institutions and organizations also keep detailed transaction records and employ software that detects suspicious behavior. Customer data can be classified into different levels of suspicion, and transactions can be refused if certain criteria are satisfied.

Impact of COVID -19 on Global Anti-Money Laundering Market

The COVID-19 has boosted market growth due to an increase in online sales and the increased use of online payment options. In recent days, the surge in non-cash transfers via internet payments, prepaid cards, and mobile payments has provided new avenues for money laundering. The fast speed with which transactions can be completed, along with minimal face-to-face interaction between the person initiating the transaction and the service provider, has made these relatively new payment systems more vulnerable to money laundering activities. This necessitates that financial institutions rigorously monitor all of their transactions in order to mitigate money laundering operations and avoid the penalties imposed by regulatory organizations.

Global Anti-Money Laundering Market - By Deployment Mode

Based on deployment mode, Global anti-money laundering market is split into Cloud and On-Premises. The on-premises segment is expected to hold the highest market share during the forecast period due to due to the increasing necessity for a secured deployment strategy that offers tighter control over clients' financial data. On-premises implementation is chosen over cloud deployment because it provides higher levels of safety and security. On-premises servers are used by financial institutions to achieve complete control over safety and security. On-premises servers are used by 76% of enterprises worldwide. Servers enable the creation of appropriate user policies, the installation of firewalls to protect against cyber-attacks, and the proper installation of antivirus software and security upgrades to protect against malicious network traffic. These factors are projected to fuel the segment's market revenue growth throughout the forecast period.

Competitive Landscape:

Major players operating in Global anti-money laundering market include: Nice Actimize, SAS Institute Inc., BAE Systems, FICO, ACI Worldwide, Oracle, Experian, Fiserv, LexisNexis, FIS, Nelito Systems, Wolters Kluwer Financial Services, Inc, Comarch Sa (Comarch), Allsec Technologies Ltd., Dixtior, Temenos, TCS, ComplyAdvantage, and Featurespace. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Anti-Money Laundering Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Anti-Money Laundering Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Anti-Money Laundering Market Insights

  • 3.1. Industry Value Chain Analysis
    • 3.1.1. DROC Analysis
    • 3.1.2. Growth Drivers
      • 3.1.2.1. Rising Number of Money Laundering Cases
      • 3.1.2.2. Increasing Need for Organizations to Comply with Stringent Regulatory Requirements
      • 3.1.2.3. Rising Volume of Non- Cash Transactions
    • 3.1.3. Restraints
      • 3.1.3.1. Increased Technological Complexities
    • 3.1.4. Opportunities
      • 3.1.4.1. Rising Adoption of Cloud Based AML Solutions to Combat Financial Crimes
      • 3.1.4.2. Increasing Adoption of Advanced Analytics in AML
    • 3.1.5. Challenges
      • 3.1.5.1. Limited Data Available for Risk Assessment
  • 3.2. Technology Advancement/Recent Developments
  • 3.3. Regulatory Framework
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Bargaining Power of Suppliers
    • 3.4.2. Bargaining Power of Buyers
    • 3.4.3. Threat of New Entrants
    • 3.4.4. Threat of Substitutes
    • 3.4.5. Intensity of Rivalry

4. Global Anti-Money Laundering Market Overview

  • 4.1. Market Size & Forecast, 2019-2029
    • 4.1.1. By Value (USD Million)
  • 4.2. Market Share & Forecast
    • 4.2.1. By Type
      • 4.2.1.1. Solutions
      • 4.2.1.1.1. Know Your Customer (KYC)/Customer Due Diligence (CDD)
      • 4.2.1.1.2. Transaction Screening and Monitoring
      • 4.2.1.1.3. Case Management
      • 4.2.1.1.4. Regulatory Reporting
      • 4.2.1.2. Services
      • 4.2.1.2.1. Professional
      • 4.2.1.2.2. Managed
    • 4.2.2. By Deployment Mode
      • 4.2.2.1. Cloud
      • 4.2.2.2. On-Premises
    • 4.2.3. By Organization Size
      • 4.2.3.1. Large Enterprises
      • 4.2.3.2. SMEs
    • 4.2.4. By End User
      • 4.2.4.1. Banks and Other Financial Institutions
      • 4.2.4.2. Insurance Providers
      • 4.2.4.3. Gaming & Gambling Sector
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia-Pacific (APAC)
      • 4.2.5.4. Latin America (LATAM)
      • 4.2.5.5. Middle East and Africa (MEA)

5. North America Anti-Money Laundering Market

  • 5.1. Market Size & Forecast, 2019-2029
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Type
    • 5.2.2. By Deployment Mode
    • 5.2.3. By Organization Size
    • 5.2.4. By End User
    • 5.2.5. By Country
      • 5.2.5.1. US
      • 5.2.5.1.1. By Type
      • 5.2.5.1.2. By Deployment Mode
      • 5.2.5.1.3. By Organization Size
      • 5.2.5.1.4. By End User
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Type
      • 5.2.5.2.2. By Deployment Mode
      • 5.2.5.2.3. By Organization Size
      • 5.2.5.2.4. By End User

6. Europe Anti-Money Laundering Market

  • 6.1. Market Size & Forecast, 2019-2029
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Organization Size
    • 6.2.4. By End User
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Type
      • 6.2.5.1.2. By Deployment Mode
      • 6.2.5.1.3. By Organization Size
      • 6.2.5.1.4. By End User
      • 6.2.5.2. UK
      • 6.2.5.2.1. By Type
      • 6.2.5.2.2. By Deployment Mode
      • 6.2.5.2.3. By Organization Size
      • 6.2.5.2.4. By End User
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Type
      • 6.2.5.3.2. By Deployment Mode
      • 6.2.5.3.3. By Organization Size
      • 6.2.5.3.4. By End User
      • 6.2.5.4. France
      • 6.2.5.4.1. By Type
      • 6.2.5.4.2. By Deployment Mode
      • 6.2.5.4.3. By Organization Size
      • 6.2.5.4.4. By End User
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Type
      • 6.2.5.5.2. By Deployment Mode
      • 6.2.5.5.3. By Organization Size
      • 6.2.5.5.4. By End User
      • 6.2.5.6. The Netherlands
      • 6.2.5.6.1. By Type
      • 6.2.5.6.2. By Deployment Mode
      • 6.2.5.6.3. By Organization Size
      • 6.2.5.6.4. By End User
      • 6.2.5.7. Belgium
      • 6.2.5.7.1. By Type
      • 6.2.5.7.2. By Deployment Mode
      • 6.2.5.7.3. By Organization Size
      • 6.2.5.7.4. By End User
      • 6.2.5.8. NORDIC Countries
      • 6.2.5.8.1. By Type
      • 6.2.5.8.2. By Deployment Mode
      • 6.2.5.8.3. By Organization Size
      • 6.2.5.8.4. By End User
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Type
      • 6.2.5.9.2. By Deployment Mode
      • 6.2.5.9.3. By Organization Size
      • 6.2.5.9.4. By End User

7. Asia-Pacific Anti-Money Laundering Market

  • 7.1. Market Size & Forecast, 2019-2029
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Organization Size
    • 7.2.4. By End User
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Type
      • 7.2.5.1.2. By Deployment Mode
      • 7.2.5.1.3. By Organization Size
      • 7.2.5.1.4. By End User
      • 7.2.5.2. India
      • 7.2.5.2.1. By Type
      • 7.2.5.2.2. By Deployment Mode
      • 7.2.5.2.3. By Organization Size
      • 7.2.5.2.4. By End User
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Type
      • 7.2.5.3.2. By Deployment Mode
      • 7.2.5.3.3. By Organization Size
      • 7.2.5.3.4. By End User
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Type
      • 7.2.5.4.2. By Deployment Mode
      • 7.2.5.4.3. By Organization Size
      • 7.2.5.4.4. By End User
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Type
      • 7.2.5.5.2. By Deployment Mode
      • 7.2.5.5.3. By Organization Size
      • 7.2.5.5.4. By End User
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Type
      • 7.2.5.6.2. By Deployment Mode
      • 7.2.5.6.3. By Organization Size
      • 7.2.5.6.4. By End User
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Type
      • 7.2.5.7.2. By Deployment Mode
      • 7.2.5.7.3. By Organization Size
      • 7.2.5.7.4. By End User
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Type
      • 7.2.5.8.2. By Deployment Mode
      • 7.2.5.8.3. By Organization Size
      • 7.2.5.8.4. By End User
      • 7.2.5.9. Philippines
      • 7.2.5.9.1. By Type
      • 7.2.5.9.2. By Deployment Mode
      • 7.2.5.9.3. By Organization Size
      • 7.2.5.9.4. By End User
      • 7.2.5.10. Vietnam
      • 7.2.5.10.1. By Type
      • 7.2.5.10.2. By Deployment Mode
      • 7.2.5.10.3. By Organization Size
      • 7.2.5.10.4. By End User
      • 7.2.5.11. Rest of APAC
      • 7.2.5.11.1. By Type
      • 7.2.5.11.2. By Deployment Mode
      • 7.2.5.11.3. By Organization Size
      • 7.2.5.11.4. By End User

8. Latin America Anti-Money Laundering Market

  • 8.1. Market Size & Forecast, 2019-2029
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Organization Size
    • 8.2.4. By End User
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Type
      • 8.2.5.1.2. By Deployment Mode
      • 8.2.5.1.3. By Organization Size
      • 8.2.5.1.4. By End User
      • 8.2.5.2. Mexico
      • 8.2.5.2.1. By Type
      • 8.2.5.2.2. By Deployment Mode
      • 8.2.5.2.3. By Organization Size
      • 8.2.5.2.4. By End User
      • 8.2.5.3. Argentina
      • 8.2.5.3.1. By Type
      • 8.2.5.3.2. By Deployment Mode
      • 8.2.5.3.3. By Organization Size
      • 8.2.5.3.4. By End User
      • 8.2.5.4. Peru
      • 8.2.5.4.1. By Type
      • 8.2.5.4.2. By Deployment Mode
      • 8.2.5.4.3. By Organization Size
      • 8.2.5.4.4. By End User
      • 8.2.5.5. Colombia
      • 8.2.5.5.1. By Type
      • 8.2.5.5.2. By Deployment Mode
      • 8.2.5.5.3. By Organization Size
      • 8.2.5.5.4. By End User
      • 8.2.5.6. Rest of LATAM
      • 8.2.5.6.1. By Type
      • 8.2.5.6.2. By Deployment Mode
      • 8.2.5.6.3. By Organization Size
      • 8.2.5.6.4. By End User

9. Middle East & Africa Anti-Money Laundering Market

  • 9.1. Market Size & Forecast, 2019-2029
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Organization Size
    • 9.2.4. By End User
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Type
      • 9.2.5.1.2. By Deployment Mode
      • 9.2.5.1.3. By Organization Size
      • 9.2.5.1.4. By End User
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Type
      • 9.2.5.2.2. By Deployment Mode
      • 9.2.5.2.3. By Organization Size
      • 9.2.5.2.4. By End User
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Type
      • 9.2.5.3.2. By Deployment Mode
      • 9.2.5.3.3. By Organization Size
      • 9.2.5.3.4. By End User
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Type
      • 9.2.5.4.2. By Deployment Mode
      • 9.2.5.4.3. By Organization Size
      • 9.2.5.4.4. By End User
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Type
      • 9.2.5.5.2. By Deployment Mode
      • 9.2.5.5.3. By Organization Size
      • 9.2.5.5.4. By End User
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Type
      • 9.2.5.6.2. By Deployment Mode
      • 9.2.5.6.3. By Organization Size
      • 9.2.5.6.4. By End User
      • 9.2.5.7. Egypt
      • 9.2.5.7.1. By Type
      • 9.2.5.7.2. By Deployment Mode
      • 9.2.5.7.3. By Organization Size
      • 9.2.5.7.4. By End User
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Type
      • 9.2.5.8.2. By Deployment Mode
      • 9.2.5.8.3. By Organization Size
      • 9.2.5.8.4. By End User

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Anti-Money Laundering Company Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Anti-Money Laundering Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. Nice Actimize
  • 12.2. SAS Institute Inc.
  • 12.3. BAE Systems
  • 12.4. FICO
  • 12.5. ACI Worldwide
  • 12.6. Oracle
  • 12.7. Experian
  • 12.8. Fiserv
  • 12.9. LexisNexis
  • 12.10. FIS
  • 12.11. Nelito Systems
  • 12.12. Wolters Kluwer Financial Services, Inc
  • 12.13. Comarch Sa (Comarch)
  • 12.14. Allsec Technologies Ltd.
  • 12.15. Dixtior
  • 12.16. Temenos
  • 12.17. TCS
  • 12.18. ComplyAdvantage
  • 12.19. Featurespace
  • 12.20. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations

*Financial information of case of non-listed companies can be provided as per availability.

**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable