サンプル依頼リスト カート
  • English
デフォルト表紙
市場調査レポート
商品コード
1191213

アンチマネーロンダリング（AML）の世界市場 - 市場規模（コンポーネント別、展開モデル別、組織規模別、用途別）、成長可能性、地域の見通し、競合の市場シェア、予測（2023年～2032年）

Anti-Money Laundering (AML) Market Size By Component, By Deployment Model, By Organization Size, By Application, Growth Potential, Regional Outlook, Competitive Market Share & Forecast, 2023 - 2032
出版日: | 発行: Global Market Insights Inc. | ページ情報: 英文 250 Pages | 納期: 2～3営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報（例：国別セグメント）の追加などの対応が可能です。　 詳細はお問い合わせください。

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=156.76円
アンチマネーロンダリング（AML）の世界市場 - 市場規模（コンポーネント別、展開モデル別、組織規模別、用途別）、成長可能性、地域の見通し、競合の市場シェア、予測（2023年～2032年）
出版日: 2022年12月27日
発行: Global Market Insights Inc.
ページ情報: 英文 250 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（AML）市場は、世界の金融犯罪の増加により、2032年まで拡大すると予測されています。

また、さまざまな組織がマネーロンダリング、データ漏洩、サイバー攻撃などの金銭的損失に直面しているため、世界中で不正防止とアンチマネーロンダリングソリューションの需要が高まっています。

当レポートでは、世界のアンチマネーロンダリング（AML）市場について調査分析し、業界の考察、セグメント分析、地域分析、企業プロファイルなどを提供しています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 アンチマネーロンダリング（AML）業界の考察

  • イントロダクション
  • COVID-19発生の影響
    • 地域別
  • AMLの進化
  • AML業界の構造
  • 不正のトライアングルと不正のサイクル
  • AML業界のエコシステム分析
    • AMLソフトウェアプロバイダー
    • AMLサービスプロバイダー
    • 不正防止ハードウェアプロバイダー
    • システムインテグレーター
    • エンドユーザー
    • 流通チャネル
    • 利益率分析
    • ベンダーマトリックス
  • 特許分析
  • 投資ポートフォリオ
  • 主なニュースとイニシアチブ
  • 技術とイノベーションの情勢
    • ルールベースの不正検出
    • 機械学習と深層学習
    • 不正分析
    • ブロックチェーン技術
  • 規制情勢
    • データ保護規則
    • 銀行規制
  • 業界に対する影響要因
    • 成長促進要因
    • 業界の潜在的リスク・課題
  • 成長可能性分析
  • ポーターのファイブフォース分析
  • PESTEL分析

第4章 競合情勢

  • イントロダクション
  • 市場シェア分析（2022年）
  • チャートキー
  • 主な市場企業の競合の分析（2022年）
    • ACI Worldwide
    • BAE Systems PLC
    • Experian PLC
    • FIS, Inc.
    • Fiserv Inc.
    • OpenText Corporation
    • Oracle Corporation
  • 市場イノベーターの競合の分析（2022年）
    • Accenture PLC
    • Lexis Nexis Risk Solutions Inc.
    • NICE Actimize
    • SAS Institute, Inc.
    • Tata Consultancy Services Ltd. (TCS)
  • 競合ポジショニングマトリックス
  • 戦略的見通しマトリックス

第5章 アンチマネーロンダリング（AML）市場：コンポーネント別

  • マネーロンダリング防止の市場シェア：コンポーネント別（2022年・2032年）
  • ソリューション
    • 市場の推計と予測（2018年～2032年）
    • 顧客ID管理
    • コンプライアンス管理
    • 通貨取引レポート
    • 取引モニタリング
  • サービス
    • 市場の推計と予測（2018年～2032年）
    • プロフェッショナルサービス
    • マネージドサービス

第6章 アンチマネーロンダリング（AML）市場：展開モデル別

  • アンチマネーロンダリング（AML）の市場シェア：展開モデル別（2022年・2032年）
  • オンプレミス
  • クラウド

第7章 アンチマネーロンダリング（AML）市場：組織規模別

  • アンチマネーロンダリング（AML）の市場シェア：組織規模別（2022年・2032年）
  • 大企業
  • 中小企業

第8章 アンチマネーロンダリング（AML）市場：用途別

  • アンチマネーロンダリング（AML）の市場シェア：用途別（2022年・2032年）
  • BFSI
  • IT・通信
  • 政府・公共部門
  • 医療
  • 小売
  • 輸送・ロジスティクス
  • その他

第9章 アンチマネーロンダリング（AML）市場：地域別

  • アンチマネーロンダリング（AML）の市場シェア：地域別（2022年・2032年）
  • 北米
    • 市場の推計と予測（2018年～2032年）
    • 市場の推計と予測：コンポーネント別（2018年～2032年）
    • 市場の推計と予測：展開モデル別（2018年～2032年）
    • 市場の推計と予測：企業規模別（2018年～2032年）
    • 市場の推計と予測：用途別（2018年～2032年）
    • 米国
    • カナダ
  • 欧州
    • 市場の推計と予測（2018年～2032年）
    • 市場の推計と予測：コンポーネント別（2018年～2032年）
    • 市場の推計と予測：展開モデル別（2018年～2032年）
    • 市場の推計と予測：企業規模別（2018年～2032年）
    • 市場の推計と予測：用途別（2018年～2032年）
    • 英国
    • ドイツ
    • フランス
    • イタリア
    • スペイン
    • オランダ
  • アジア太平洋
    • 市場の推計と予測（2018年～2032年）
    • 市場の推計と予測：コンポーネント別（2018年～2032年）
    • 市場の推計と予測：展開モデル別（2018年～2032年）
    • 市場の推計と予測：企業規模別（2018年～2032年）
    • 市場の推計と予測：用途別（2018年～2032年）
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア・ニュージーランド
    • シンガポール
  • ラテンアメリカ
    • 市場の推計と予測（2018年～2032年）
    • 市場の推計と予測：コンポーネント別（2018年～2032年）
    • 市場の推計と予測：展開モデル別（2018年～2032年）
    • 市場の推計と予測：企業規模別（2018年～2032年）
    • 市場の推計と予測：用途別（2018年～2032年）
    • ブラジル
    • メキシコ
    • アルゼンチン
    • コロンビア
  • 中東・アフリカ
    • 市場の推計と予測（2018年～2032年）
    • 市場の推計と予測：コンポーネント別（2018年～2032年）
    • 市場の推計と予測：展開モデル別（2018年～2032年）
    • 市場の推計と予測：企業規模別（2018年～2032年）
    • 市場の推計と予測：用途別（2018年～2032年）
    • 南アフリカ
    • サウジアラビア
    • イスラエル
    • アラブ首長国連邦

第10章 企業プロファイル

  • Accenture PLC
  • ACI Worldwide
  • BAE Systems PLC
  • CaseWare International Inc.
  • Cognizant Technology Solutions Corporation
  • Experian PLC
  • Fair Isaac Corporation (FICO)
  • Finacus Solutions Private Limited
  • FIS, Inc.
  • Fiserv Inc.
  • Lexisnexis Risk Solutions Inc.
  • Napier Technologies Limited
  • Nelito Systems Ltd.
  • NICE Actimize
  • OpenText Corporation
  • Oracle Corporation
  • SAS Institute, Inc.
  • Tata Consultancy Services Ltd. (TCS)
  • Trulioo Information Services Inc.
  • WorkFusion, Inc.
目次
Product Code: 5114

Anti-Money Laundering (AML) Market is anticipated to expand through 2032, due to the rising cases of financial crimes being recorded globally. Various organizations are as well facing financial losses such as money laundering, data breaches, cyberattacks, etc., thus fostering the demand for anti-fraud and anti-money laundering solutions across the globe. According to reliable reports, the approximate amount of money laundered per year is 2% to 5% of the global GDP worldwide, or USD 800 billion to USD 2 trillion.

Overall, the anti-money laundering industry is segmented in terms of component, solution, service, deployment model, organization size, application, and region.

Based on the component, the service segment is anticipated to demonstrate notable growth through 2032. The rising adoption of cloud-based solutions and increasing demand for outsourcing AML solution management services will support the segmental growth in the coming years.

Considering the solution, the customer identity management segment is expected to exhibit over 16.5% CAGR by 2032. Streamlined customer experience, security for data and accounts, scalability and uptime, unified customer view, compliance with privacy regulations, and advanced login options are some of the key benefits projected to escalate the customer identity management solution adoption.

By service, the professional service segment is projected to depict more than 17.5% CAGR during 2023-2022. The growth can be attributed to the mounting use of AML solutions in financial institutions. AML solutions assist in solving the issues in real-time, enhance operational efficiency, and decreases operational costs across professional business.

Based on the deployment model, the cloud-based AML industry is poised to depict over 19.5% CAGR through 2032. Cloud-based solutions enable financial institutions to modify their AML procedures to avoid the consequence and comply with present and future AML regulations. Moreover, speedy remote configuration, leaner IT teams, secure remote access, and the ability to leverage innovative technology are some of the key advantages of the cloud-based deployment model that are anticipated to spur its adoption in the coming years.

Considering the organization size, the large enterprises segment registered over USD 1.7 billion revenue share in 2022 and is slated to grow considerably by 2032 end. The growth can be attributed to budding use of AML tools and software in large enterprises for avoiding fraud and growing emphasis on core competencies.

By application, the IT and telecom segment held over 24.5% revenue share in 2022 and is expected to expand substantially through 2032. The increased deployment of AML-based tools and solutions by telecom companies to avert any illegal transaction will drive the market growth.

Regionally, the Asia Pacific anti-money laundering market is estimated to clock over 20.5% CAGR through 2032. Increasing penetration of smartphones, rising adoption of digitalization, the millennial population, and supportive government initiatives are key factors anticipated to escalate the regional market outlook.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market definitions
  • 1.2 Base estimates and forecast
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Secondary
    • 1.4.2 Primary
  • 1.5 Industry Glossary

Chapter 2 Executive Summary

  • 2.1 Anti-money laundering industry 360 degree synopsis, 2018 - 2032
  • 2.2 Business trends
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Deployment model trends
  • 2.6 Organization size trends
  • 2.7 Application trends

Chapter 3 Anti-Money Laundering Industry Insights

  • 3.1 Introduction
  • 3.2 Impact of COVID-19 outbreak
    • 3.2.1 By region
      • 3.2.1.1 North America
      • 3.2.1.2 Europe
      • 3.2.1.3 Asia Pacific
      • 3.2.1.4 Latin America
      • 3.2.1.5 Middle East & Africa
  • 3.3 Evolution of AML
  • 3.4 AML industry architecture
  • 3.5 Fraud triangle and fraud cycle
  • 3.6 AML industry ecosystem analysis
    • 3.6.1 AML software providers
    • 3.6.2 AML service providers
    • 3.6.3 Fraud prevention hardware providers
    • 3.6.4 System integrators
    • 3.6.5 End users
    • 3.6.6 Distribution channel
    • 3.6.7 Profit margin analysis
    • 3.6.8 Vendor matrix
  • 3.7 Patent analysis
  • 3.8 Investment portfolio
  • 3.9 Key news & initiatives
  • 3.10 Technology & innovation landscape
    • 3.10.1 Rule based fraud detection
    • 3.10.2 Machine learning and deep learning
    • 3.10.3 Fraud analytics
    • 3.10.4 Blockchain technology
  • 3.11 Regulatory landscape
    • 3.11.1 Data protection regulations
      • 3.11.1.1 Federal Information Security Management Act (FISMA)
      • 3.11.1.2 Health Insurance Portability and Accountability Act (HIPAA)
      • 3.11.1.3 Payment Card Industry Data Security Standard (PCI DSS)
      • 3.11.1.4 The General Data Protection Regulation (GDPR)
      • 3.11.1.5 The Gramm-Leach-Bliley Act (GLB) Act of 1999
      • 3.11.1.6 The Sarbanes-Oxley Act of 2002
    • 3.11.2 Banking regulations
      • 3.11.2.1 Alternative Investment Fund Managers Directive (AIFMD)
      • 3.11.2.2 Anti-Money Laundering Directive 2015/849/EU (AMLD)
      • 3.11.2.3 Basel-III Regulations
      • 3.11.2.4 Dodd-Frank Wall Street Reform and Consumer Protection Act
      • 3.11.2.5 European Market Infrastructure Regulation (EMIR)
      • 3.11.2.6 Foreign Account Tax Compliance Act (FATCA)
      • 3.11.2.7 Indian Contract Act 1872
      • 3.11.2.8 Markets in Financial Instruments Directive (MiFID)
      • 3.11.2.9 Prevention of Money Laundering Act
  • 3.12 Industry impact forces
    • 3.12.1 Growth drivers
      • 3.12.1.1 Increasingly stringent penalties on non-compliance with AML regulations
      • 3.12.1.2 Rise in revenue loss due to numerous financial frauds
      • 3.12.1.3 Growing use of electronic and digital payment methods
      • 3.12.1.4 Increase in the frequency of cyberattacks and frauds
      • 3.12.1.5 Rapid surge in deployment of AI and big data analytics
    • 3.12.2 Industry pitfalls & challenges
      • 3.12.2.1 Higher costs involved in deployment of AML solutions
      • 3.12.2.2 Lack of expertise and limited skillsets in AML industry
  • 3.13 Growth potential analysis
  • 3.14 Porter's analysis
    • 3.14.1 Supplier power
    • 3.14.2 Buyer power
    • 3.14.3 Threat of new entrants
    • 3.14.4 Threat of substitutes
    • 3.14.5 Industry rivalry
  • 3.15 PESTEL analysis
    • 3.15.1 Political
    • 3.15.2 Economic
    • 3.15.3 Social
    • 3.15.4 Technological
    • 3.15.5 Environmental
    • 3.15.6 Legal

Chapter 4 Competitive Landscape

  • 4.1 Introduction
  • 4.2 Market share analysis, 2022
  • 4.3 Chart key
  • 4.4 Competitive analysis of key market players, 2022
    • 4.4.1 ACI Worldwide
    • 4.4.2 BAE Systems PLC
    • 4.4.3 Experian PLC
    • 4.4.4 FIS, Inc.
    • 4.4.5 Fiserv Inc.
    • 4.4.6 OpenText Corporation
    • 4.4.7 Oracle Corporation
  • 4.5 Competitive analysis of market innovators, 2022
    • 4.5.1 Accenture PLC
    • 4.5.2 Lexis Nexis Risk Solutions Inc.
    • 4.5.3 NICE Actimize
    • 4.5.4 SAS Institute, Inc.
    • 4.5.5 Tata Consultancy Services Ltd. (TCS)
  • 4.6 Competitive positioning matrix
  • 4.7 Strategic outlook matrix

Chapter 5 Anti-Money Laundering Market, By Component

  • 5.1 Anti-money laundering market share, by component, 2022 & 2032
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.2 Customer identity management
      • 5.2.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.3 Compliance management
      • 5.2.3.1 Market estimates and forecast, 2018 - 2032
    • 5.2.4 Currency transaction reporting
      • 5.2.4.1 Market estimates and forecast, 2018 - 2032
    • 5.2.5 Transaction monitoring
      • 5.2.5.1 Market estimates and forecast, 2018 - 2032
  • 5.3 Service
    • 5.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.2 Professional service
      • 5.3.2.1 Market estimates and forecast, 2018 - 2032
    • 5.3.3 Managed service
      • 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Anti-Money Laundering Market, By Deployment Model

  • 6.1 Anti-money laundering market share, by deployment model, 2022 & 2032
  • 6.2 On-premise
    • 6.2.1 Market estimates and forecast, 2018 - 2032
  • 6.3 Cloud
    • 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Anti-Money Laundering Market, By Organization Size

  • 7.1 Anti-money laundering market share, by organization size, 2022 & 2032
  • 7.2 Large enterprises
    • 7.2.1 Market estimates and forecast, 2018 - 2032
  • 7.3 SME
    • 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Anti-Money Laundering Market, By Application

  • 8.1 Anti-money laundering market share, by application, 2022 & 2032
  • 8.2 BFSI
    • 8.2.1 Market estimates and forecast, 2018 - 2032
  • 8.3 IT & telecom
    • 8.3.1 Market estimates and forecast, 2018 - 2032
  • 8.4 Government & public sector
    • 8.4.1 Market estimates and forecast, 2018 - 2032
  • 8.5 Healthcare
    • 8.5.1 Market estimates and forecast, 2018 - 2032
  • 8.6 Retail
    • 8.6.1 Market estimates and forecast, 2018 - 2032
  • 8.7 Transportation & logistics
    • 8.7.1 Market estimates and forecast, 2018 - 2032
  • 8.8 Others
    • 8.8.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Anti-Money Laundering Market, By Region

  • 9.1 Anti-money laundering market share, by region, 2022 & 2032
  • 9.2 North America
    • 9.2.1 Market estimates and forecast, 2018 - 2032
    • 9.2.2 Market estimates and forecast, by component, 2018 - 2032
      • 9.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 9.2.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 9.2.3 Market estimates and forecast, by deployment model, 2018 - 2032
    • 9.2.4 Market estimates and forecast, by enterprise size, 2018 - 2032
    • 9.2.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.2.6 U.S.
      • 9.2.6.1 Market estimates and forecast, 2018 - 2032
      • 9.2.6.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.2.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.2.6.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.2.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.2.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.2.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.2.7 Canada
      • 9.2.7.1 Market estimates and forecast, 2018 - 2032
      • 9.2.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.2.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.2.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.2.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.2.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.2.7.5 Market estimates and forecast, by application, 2018 - 2032
  • 9.3 Europe
    • 9.3.1 Market estimates and forecast, 2018 - 2032
    • 9.3.2 Market estimates and forecast, by component, 2018 - 2032
      • 9.3.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 9.3.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 9.3.3 Market estimates and forecast, by deployment model, 2018 - 2032
    • 9.3.4 Market estimates and forecast, by enterprise size, 2018 - 2032
    • 9.3.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.6 UK
      • 9.3.6.1 Market estimates and forecast, 2018 - 2032
      • 9.3.6.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.6.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.7 Germany
      • 9.3.7.1 Market estimates and forecast, 2018 - 2032
      • 9.3.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.7.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.8 France
      • 9.3.8.1 Market estimates and forecast, 2018 - 2032
      • 9.3.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.8.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.9 Italy
      • 9.3.9.1 Market estimates and forecast, 2018 - 2032
      • 9.3.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.9.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.10 Spain
      • 9.3.10.1 Market estimates and forecast, 2018 - 2032
      • 9.3.10.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.10.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.10.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.3.11 Netherlands
      • 9.3.11.1 Market estimates and forecast, 2018 - 2032
      • 9.3.11.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.3.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.3.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.3.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.3.11.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.3.11.5 Market estimates and forecast, by application, 2018 - 2032
  • 9.4 Asia Pacific
    • 9.4.1 Market estimates and forecast, 2018 - 2032
    • 9.4.2 Market estimates and forecast, by component, 2018 - 2032
      • 9.4.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 9.4.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 9.4.3 Market estimates and forecast, by deployment model, 2018 - 2032
    • 9.4.4 Market estimates and forecast, by enterprise size, 2018 - 2032
    • 9.4.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.6 China
      • 9.4.6.1 Market estimates and forecast, 2018 - 2032
      • 9.4.6.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.6.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.7 India
      • 9.4.7.1 Market estimates and forecast, 2018 - 2032
      • 9.4.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.7.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.8 Japan
      • 9.4.8.1 Market estimates and forecast, 2018 - 2032
      • 9.4.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.8.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.9 South Korea
      • 9.4.9.1 Market estimates and forecast, 2018 - 2032
      • 9.4.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.9.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.10 Australia & New Zealand (ANZ)
      • 9.4.10.1 Market estimates and forecast, 2018 - 2032
      • 9.4.10.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.10.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.10.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.10.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.4.11 Singapore
      • 9.4.11.1 Market estimates and forecast, 2018 - 2032
      • 9.4.11.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.4.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.4.11.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.4.11.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.4.11.5 Market estimates and forecast, by application, 2018 - 2032
  • 9.5 Latin America
    • 9.5.1 Market estimates and forecast, 2018 - 2032
    • 9.5.2 Market estimates and forecast, by component, 2018 - 2032
      • 9.5.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 9.5.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 9.5.3 Market estimates and forecast, by deployment model, 2018 - 2032
    • 9.5.4 Market estimates and forecast, by enterprise size, 2018 - 2032
    • 9.5.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.5.6 Brazil
      • 9.5.6.1 Market estimates and forecast, 2018 - 2032
      • 9.5.6.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.5.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.5.6.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.5.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.5.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.5.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.5.7 Mexico
      • 9.5.7.1 Market estimates and forecast, 2018 - 2032
      • 9.5.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.5.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.5.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.5.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.5.7.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.5.8 Argentina
      • 9.5.8.1 Market estimates and forecast, 2018 - 2032
      • 9.5.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.5.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.5.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.5.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.5.8.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.5.9 Colombia
      • 9.5.9.1 Market estimates and forecast, 2018 - 2032
      • 9.5.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.5.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.5.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.5.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.5.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.5.9.5 Market estimates and forecast, by application, 2018 - 2032
  • 9.6 MEA
    • 9.6.1 Market estimates and forecast, 2018 - 2032
    • 9.6.2 Market estimates and forecast, by component, 2018 - 2032
      • 9.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
      • 9.6.2.2 Market estimates and forecast, by service, 2018 - 2032
    • 9.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
    • 9.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
    • 9.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.6.6 South Africa
      • 9.6.6.1 Market estimates and forecast, 2018 - 2032
      • 9.6.6.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.6.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.6.6.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.6.6.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.6.6.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.6.6.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.6.7 Saudi Arabia
      • 9.6.7.1 Market estimates and forecast, 2018 - 2032
      • 9.6.7.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.6.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.6.7.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.6.7.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.6.7.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.6.8 Israel
      • 9.6.8.1 Market estimates and forecast, 2018 - 2032
      • 9.6.8.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.6.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.6.8.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.6.8.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.6.8.5 Market estimates and forecast, by application, 2018 - 2032
    • 9.6.9 UAE
      • 9.6.9.1 Market estimates and forecast, 2018 - 2032
      • 9.6.9.2 Market estimates and forecast, by component, 2018 - 2032
        • 9.6.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
        • 9.6.9.2.2 Market estimates and forecast, by service, 2018 - 2032
      • 9.6.9.3 Market estimates and forecast, by deployment model, 2018 - 2032
      • 9.6.9.4 Market estimates and forecast, by enterprise size, 2018 - 2032
      • 9.6.9.5 Market estimates and forecast, by application, 2018 - 2032

Chapter 10 Company Profiles

  • 10.1 Accenture PLC
    • 10.1.1 Business Overview
    • 10.1.2 Financial Data
    • 10.1.3 Product Landscape
    • 10.1.4 Strategic Outlook
    • 10.1.5 SWOT Analysis
  • 10.2 ACI Worldwide
    • 10.2.1 Business Overview
    • 10.2.2 Financial Data
    • 10.2.3 Product Landscape
    • 10.2.4 Strategic Outlook
    • 10.2.5 SWOT Analysis
  • 10.3 BAE Systems PLC
    • 10.3.1 Business Overview
    • 10.3.2 Financial Data
    • 10.3.3 Product Landscape
    • 10.3.4 Strategic Outlook
    • 10.3.5 SWOT Analysis
  • 10.4 CaseWare International Inc.
    • 10.4.1 Business Overview
    • 10.4.2 Financial Data
    • 10.4.3 Product Landscape
    • 10.4.4 Strategic Outlook
    • 10.4.5 SWOT Analysis
  • 10.5 Cognizant Technology Solutions Corporation
    • 10.5.1 Business Overview
    • 10.5.2 Financial Data
    • 10.5.3 Product Landscape
    • 10.5.4 Strategic Outlook
    • 10.5.5 SWOT Analysis
  • 10.6 Experian PLC
    • 10.6.1 Business Overview
    • 10.6.2 Financial Data
    • 10.6.3 Product Landscape
    • 10.6.4 Strategic Outlook
    • 10.6.5 SWOT Analysis
  • 10.7 Fair Isaac Corporation (FICO)
    • 10.7.1 Business Overview
    • 10.7.2 Financial Data
    • 10.7.3 Product Landscape
    • 10.7.4 Strategic Outlook
    • 10.7.5 SWOT Analysis
  • 10.8 Finacus Solutions Private Limited
    • 10.8.1 Business Overview
    • 10.8.2 Financial Data
    • 10.8.3 Product Landscape
    • 10.8.4 Strategic Outlook
    • 10.8.5 SWOT Analysis
  • 10.9 FIS, Inc.
    • 10.9.1 Business Overview
    • 10.9.2 Financial Data
    • 10.9.3 Product Landscape
    • 10.9.4 Strategic Outlook
    • 10.9.5 SWOT Analysis
  • 10.10 Fiserv Inc.
    • 10.10.1 Business Overview
    • 10.10.2 Financial Data
    • 10.10.3 Product Landscape
    • 10.10.4 Strategic Outlook
    • 10.10.5 SWOT Analysis
  • 10.11 Lexisnexis Risk Solutions Inc.
    • 10.11.1 Business Overview
    • 10.11.2 Financial Data
    • 10.11.3 Product Landscape
    • 10.11.4 Strategic Outlook
    • 10.11.5 SWOT Analysis
  • 10.12 Napier Technologies Limited
    • 10.12.1 Business Overview
    • 10.12.2 Financial Data
    • 10.12.3 Product Landscape
    • 10.12.4 Strategic Outlook
    • 10.12.5 SWOT Analysis
  • 10.13 Nelito Systems Ltd.
    • 10.13.1 Business Overview
    • 10.13.2 Financial Data
    • 10.13.3 Product Landscape
    • 10.13.4 Strategic Outlook
    • 10.13.5 SWOT Analysis
  • 10.14 NICE Actimize
    • 10.14.1 Business Overview
    • 10.14.2 Financial Data
    • 10.14.3 Product Landscape
    • 10.14.4 Strategic Outlook
    • 10.14.5 SWOT Analysis
  • 10.15 OpenText Corporation
    • 10.15.1 Business Overview
    • 10.15.2 Financial Data
    • 10.15.3 Product Landscape
    • 10.15.4 Strategic Outlook
    • 10.15.5 SWOT Analysis
  • 10.16 Oracle Corporation
    • 10.16.1 Business Overview
    • 10.16.2 Financial Data
    • 10.16.3 Product Landscape
    • 10.16.4 Strategic Outlook
    • 10.16.5 SWOT Analysis
  • 10.17 SAS Institute, Inc.
    • 10.17.1 Business Overview
    • 10.17.2 Financial Data
    • 10.17.3 Product Landscape
    • 10.17.4 Strategic Outlook
    • 10.17.5 SWOT Analysis
  • 10.18 Tata Consultancy Services Ltd. (TCS)
    • 10.18.1 Business Overview
    • 10.18.2 Financial Data
    • 10.18.3 Product Landscape
    • 10.18.4 Strategic Outlook
    • 10.18.5 SWOT Analysis
  • 10.19 Trulioo Information Services Inc.
    • 10.19.1 Business Overview
    • 10.19.2 Financial Data
    • 10.19.3 Product Landscape
    • 10.19.4 Strategic Outlook
    • 10.19.5 SWOT Analysis
  • 10.20 WorkFusion, Inc.
    • 10.20.1 Business Overview
    • 10.20.2 Financial Data
    • 10.20.3 Product Landscape
    • 10.20.4 Strategic Outlook
    • 10.20.5 SWOT Analysis