1.1 | Scope of the Report |
1.2 | Global Anti-Money Laundering Software Market Research Methodology |
A quick peek into the report
Table of Contents
Research Scope and Methodology
Market Dynamics
2.1 | Drivers |
2.1.1 | Increased Need for Automated Transaction Monitoring Systems |
2.1.2 | Compliance Requirement with International Regulatory Bodies |
2.1.3 | Integration of Big Data Analytics with Anti-Money Laundering Software |
2.2 | Restraints |
2.2.1 | Risk of Security Breaches |
2.2.2 | High Implementation Cost of AML Software |
2.2.3 | AML Software Integration into Existing Systems |
2.3 | Opportunities |
2.3.1 | Anti-Money Laundering Software in Crypto currency Market |
2.3.2 | Adoption of AML in the Emerging Economies |
2.3.3 | Robotic Process Automation (RPA) in AML and KYC |
Industry Analysis
3.1 | Patent Analysis |
3.2 | Consortium, Associations and Regulatory Bodies |
3.3 | Value Chain Analysis |
Competitive Landscape
4.1 | Key Market Developments & Strategies |
4.1.1 | Mergers & Acquisitions |
4.1.2 | Partnerships, Collaborations & Joint Ventures |
4.1.3 | Product Launches |
4.1.4 | Business Expansion |
4.2 | Market Share Analysis |
Global Anti Money Laundering Software Market, by Delivery Model
5.1 | Assumptions and Limitations for Analysis and Forecast of the Global Anti Money Laundering Software Market |
5.2 | Market Overview |
5.3 | Cloud Based Delivery Model |
Global Anti-Money Laundering Software Market by Software Type
6.1 | Market Overview |
6.2 | Transaction Monitoring Software |
6.3 | Currency Transaction Reporting Software (CTR) |
6.4 | Customer Identity Management Software (CIM) |
6.5 | Compliance Management Software |
6.6 | Others (Sanction Screening Software and Case Management Software) |
Global Anti Money Laundering Management Software Market, by Region
7.1 | Market Overview |
7.2 | North America |
7.2.1.1 | The U.S. |
7.2.1.2 | Canada |
7.2.1.3 | Mexico |
7.3 | Europe |
7.3.1 | Europe, by Country |
7.3.1.1 | Germany |
7.3.1.2 | U.K. |
7.3.1.3 | Italy |
7.3.1.4 | Spain |
7.3.1.5 | Rest of Europe |
7.4 | Asia-Pacific |
7.4.1 | APAC, by Country |
7.4.1.1 | Australia |
7.4.1.2 | China |
7.4.1.3 | India |
7.4.1.4 | Japan |
7.4.1.5 | Singapore |
7.4.1.6 | Rest of APAC |
7.5 | Rest of the world (RoW) |
Company Profiles
8.1 | ACI Worldwide |
8.1.1 | Company Overview |
8.1.2 | Product Portfolio |
8.1.3 | Financials |
8.1.3.1 | Financial Summary |
8.1.4 | SWOT Analysis |
8.2 | AML Partners |
8.2.1 | Company Overview |
8.2.2 | Product Portfolio |
8.2.2.1 | Corporate Summary |
8.2.3 | SWOT Analysis |
8.3 | Targens |
8.3.1 | Company Overview |
8.3.2 | Product Portfolio |
8.3.2.1 | Corporate Summary |
8.3.3 | SWOT Analysis |
8.4 | BAE Systems |
8.4.1 | Company Overview |
8.4.2 | Product Offerings |
8.4.3 | Financials |
8.4.3.1 | Overall Financials |
8.4.3.2 | Segment Revenue Mix |
8.4.3.3 | Geographic Revenue Mix |
8.4.3.4 | Financial Summary |
8.4.4 | SWOT Analysis |
8.5 | Global Radar |
8.5.1 | Company Overview |
8.5.2 | Product Portfolio |
8.5.2.1 | Corporate Summary |
8.5.3 | SWOT Analysis |
8.6 | Route Trading |
8.6.1 | Company Overview |
8.6.2 | Product Portfolio |
8.6.2.1 | Corporate Summary |
8.6.3 | SWOT Analysis |
8.7 | Safe Banking Systems |
8.7.1 | Company Overview |
8.7.2 | Product Portfolio |
8.7.2.1 | Corporate Summary |
8.7.3 | SWOT Analysis |
8.8 | Infrasoft Technologies Ltd. |
8.8.1 | Company Overview |
8.8.2 | Product Portfolio |
8.8.2.1 | Corporate Summary |
8.8.3 | SWOT Analysis |
8.9 | Experian PLC |
8.9.1 | Company Overview |
8.9.2 | Product Portfolio |
8.9.3 | Financials |
8.9.3.1 | Financial Summary |
8.9.4 | SWOT Analysis |
8.10 | Fiserv Inc. |
8.10.1 | Company Overview |
8.10.2 | Product Portfolio |
8.10.3 | Financials |
8.10.3.1 | Financial Summary |
8.10.4 | SWOT Analysis |
8.11 | NICE Actimize |
8.11.1 | Company Overview |
8.11.2 | Product Portfolio |
8.11.3 | Financials |
8.11.3.1 | Financial Summary |
8.11.4 | SWOT Analysis |
8.12 | Oracle Corporation |
8.12.1 | Company Overview |
8.12.2 | Product Portfolio |
8.12.3 | Financials |
8.12.3.1 | Financial Summary |
8.12.4 | SWOT Analysis |
8.13 | Accuity |
8.13.1 | Company Overview |
8.13.2 | Product Portfolio |
8.13.2.1 | Corporate Summary |
8.13.3 | SWOT Analysis |
8.14 | LexisNexis |
8.14.1 | Company Overview |
8.14.2 | Product Portfolio |
8.14.2.1 | Corporate Summary |
8.14.3 | SWOT Analysis |
8.15 | Inetco Systems Limited |
8.15.1 | Company Overview |
8.15.2 | Product Portfolio |
8.15.2.1 | Corporate Summary |
8.15.3 | SWOT Analysis |
8.16 | FICO |
8.16.1 | Company Overview |
8.16.2 | Product Portfolio |
8.16.3 | Financials |
8.16.3.1 | Financial Summary |
8.16.4 | SWOT Analysis |
List of Tables
Table 1 | Examples of Some Regulatory Bodies, Associations, and Consortia |
Table 2.1 | Comparison between Manual and Automated Anti-Money Laundering Software |
Table 2.2 | Government Regulatory Bodies of Various Regions |
Table 2.3 | Legal Petitions |
Table 2.4 | Company Size and Required Percentage Investment for Anti-Money Laundering Software Implementation |
Table 2.5 | Emerging Nations with New Regulations to Fight Money Laundering |
Table 3.1 | Examples of Some Recent Patents (Feb 2015-2017) |
Table 3.2 | Examples of Some Regulatory Bodies, Associations, and Consortia |
Table 4.1 | Key Mergers & Acquisitions (2014-17) |
Table 4.2 | Key Partnerships & Collaborations (2014-17) |
Table 4.3 | Key Product Launches (2014-17) |
Table 4.4 | Key Business Expansion Activities (2015-17) |
Table 4.5 | Key Global AML Software Vendors |
Table 5.1 | Global AML Software Market Value by Deployment Type ($Million) |
Table 6.1 | Global Anti-Money Laundering Software Market by Software Type, 2016-2021 |
Table 6.2 | Global AML Transaction Monitoring Software Market by Deployment Type, 2016-2023 |
Table 6.3 | Global AML Transaction Monitoring Software Market Penetration by Region, 2016-2023 |
Table 6.4 | Global AML Currency Transaction Reporting Software Market by Deployment Type, 2016-2023 |
Table 6.5 | Global AML Currency Transaction Reporting Software Market Penetration by Region, 2016-2023 |
Table 6.6 | Global AML Customer Identity Management Software Market by Deployment Type, 2016 to 2023 |
Table 6.7 | Global AML Customer Identity Management Software Market Penetration by Region, 2016 to 2023 |
Table 6.8 | Global AML Compliance Management Software Market by Deployment Type, 2016-2023 |
Table 6.9 | AML Compliance Management Software Market Penetration by Region, 2016-2023 |
Table 6.10 | Global AML Other Software Market by Deployment Type, 2016-2023 |
Table 6.11 | AML Other Software Market Penetration by Region, 2016-2023 |
Table 7.1 | AML Software Market Value by Region, 2016-2023 |
Table 7.2 | BASEL AML Index Scores in 2017 |
Table 7.3 | Penalties charged by FinCEN to various organisations, 2016-2017 |
Table 7.4 | Compliance Examinations, by Sector, 2013-2015 |
Table 7.5 | Entities AML/CFT Supervision, 2017 |
Table 7.6 | BASEL AML Index Scores, in 2017 |
Table 7.7 | Number of STRs reported in 2010 and 2013 |
Table 7.8 | BASEL AML Index Scores in 2017 |
Table 7.9 | Money Laundering Cases in India |
Table 7.10 | Number of STRs, 2013 and 2014 |
List of Figures
Figure 1 | BASEL Anti-Money Laundering (AML) Index Scores, 2017 |
Figure 2 | AML Monitoring and KYC Technology Spending: Percentage of Respondents, 2015 |
Figure 3 | Global AML Software Market Value Snapshot ($Million) |
Figure 4 | Global AML Software Market Value Snapshot by Deployment Type ($Million) |
Figure 5 | Global AML Software Market Value Snapshot by Software Type ($Million) |
Figure 6 | Global AML Software Market Value Snapshot by Region ($Million) |
Figure 1.1 | Global Anti-Money Laundering Software Market Segmentation |
Figure 1.2 | Secondary Data Sources |
Figure 1.3 | Top-Down Approach |
Figure 1.4 | Global Anti-Money Laundering Software Market Influencing Factors |
Figure 1.5 | Assumptions and Limitations |
Figure 2.1 | Market Dynamics |
Figure 2.2 | Cost Breakdown of AML Software |
Figure 3.1 | Industry Analysis Segments |
Figure 3.2 | Anti-Money Laundering Software: Value Chain Analysis |
Figure 3.3 | Anti-Money Laundering Software: Core Necessities |
Figure 3.4 | Key Features of an Anti-Money Laundering Compliance System |
Figure 4.1 | Strategies Adopted by Key Players |
Figure 4.2 | Recent Market Development Strategies Snapshot: Analysis (January 2014-October2017) |
Figure 4.3 | Key Vendors’ AML Software Deployment Breakdown, (2016) |
Figure 4.4 | Key Vendors Market Share Analysis, (2016) |
Figure 5.1 | Global AML Software Market Value Snapshot by Deployment Type ($Million) |
Figure 5.2 | Advantages of On-Premise Delivery Model |
Figure 5.3 | Disadvantages of On-Premise Delivery Model |
Figure 5.4 | Anti-Money Laundering Software Market Value, by On-premise Deployment Model |
Figure 5.5 | Factors Limiting Enterprises from Using Cloud Computing Services, by Type of Enterprise, in 2014 |
Figure 5.6 | Advantages of Cloud Based Delivery Model |
Figure 5.7 | Disadvantages of Cloud Based Delivery Model |
Figure 5.8 | AML Software Market Value, by Cloud based Deployment Model (2016-2023), $Million |
Figure 5.9 | Use of Cloud Computing Services in Enterprises, in 2016 |
Figure 6.1 | Global Anti-Money Laundering Software Market by Software Type, ($Million) |
Figure 6.2 | Working of an AML Transaction Monitoring Software |
Figure 6.3 | Format of an AML Currency Transaction Reporting Software |
Figure 6.4 | Status of Financial Firms in the Current CTR System |
Figure 6.5 | ALM Customer Identity Management Applications and Systems |
Figure 6.6 | ALM Compliance Management Process |
Figure 6.7 | ALM Compliance Management Features |
Figure 6.8 | Sanction Screening System Process |
Figure 6.9 | Case Management System Architecture |
Figure 6.10 | Features of Sanction Screening and Case Management Software |
Figure 7.1 | Global AML Software Market Value Snapshot by Region ($Million) |
Figure 7.2 | Number of complaints reported to FTC, 2006-2015 |
Figure 7.3 | Comparison of Large Cash Transaction, Suspicious Transaction Report, and Casino Disbursement, in Canada (2013 and 2015) |
Figure 7.4 | Monetary Penalties Issued Across Canada, from 2013-2016 |
Figure 7.5 | Comparison of Suspicious Transaction Report, 2008 and 2013 |
Figure 7.6 | Comparison of Suspicious Transaction Report, 2010 and 2013 |
Figure 7.7 | Comparison of Suspicious Transaction Reports in Italy, 2010 and 2014 |
Figure 7.8 | Number of People Convicted and Prosecuted in Italy, 2010-2013 |
Figure 7.9 | Comparison of Suspicious Transaction Report, 2010 and 2013 |
Figure 7.10 | Number of People Convicted and Prosecuted in Spain, 2010 and 2013 |
Figure 7.11 | Comparison of Suspicious Transaction Reports in China, 2010 and 2013 |
Figure 7.12 | Comparison of Suspicious Transaction Reports, 2010 and 2013-14 |
Figure 7.13 | Number of STR’s for Reporting Institution Types, 2010 |
Figure 7.14 | Number of Suspicious Transaction Reports in Japan, 2013-2014 |
Figure 7.15 | Number of Suspicious Transaction Reports, 2013-2015 |
Figure 7.16 | Number of Prosecutions and Convictions, 2013 and 2014 |
Figure 8.1 | Overall Financials, 2014-16 ($Million) |
Figure 8.2 | Geographical Revenue Mix, 2014-16 ($Million) |
Figure 8.3 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.4 | ACI Worldwide – SWOT Analysis |
Figure 8.5 | AML Partners – SWOT Analysis |
Figure 8.6 | Targens – SWOT Analysis |
Figure 8.7 | BAE Systems – Overall Financials, 2014-2016 |
Figure 8.8 | BAE Systems – Business Segment Revenue Mix, 2014-2016 |
Figure 8.9 | BAE Systems– Geographic Revenue Mix, 2014-2016 |
Figure 8.10 | BAE Systems – SWOT Analysis |
Figure 8.11 | Global Radar – SWOT Analysis |
Figure 8.12 | Route Trading – SWOT Analysis |
Figure 8.13 | Safe Banking Systems – SWOT Analysis |
Figure 8.14 | Infrasoft Technologies Ltd. – SWOT Analysis |
Figure 8.15 | Overall Financials, 2014-16 ($Million) |
Figure 8.16 | Geographical Revenue Mix, 2014-16 ($Million) |
Figure 8.17 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.18 | Experian PLC – SWOT Analysis |
Figure 8.19 | Overall Financials, 2014-16 ($Million) |
Figure 8.20 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.21 | Geographic Revenue Mix, 2014-16 ($Million) |
Figure 8.22 | Fiserv Inc. – SWOT Analysis |
Figure 8.23 | Overall Financials, 2014-16 ($Million) |
Figure 8.24 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.25 | Geographic Revenue Mix, 2014-16 ($Million) |
Figure 8.26 | NICE Actimize – SWOT Analysis |
Figure 8.27 | Overall Financials, 2014-16 ($Million) |
Figure 8.28 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.29 | Geographic Revenue Mix, 2014-16 ($Million) |
Figure 8.30 | Oracle Corporation – SWOT Analysis |
Figure 8.31 | Accuity – SWOT Analysis |
Figure 8.32 | LexisNexis Risk Solutions – SWOT Analysis |
Figure 8.33 | Inetco Systems Limited – SWOT Analysis |
Figure 8.34 | Overall Financials, 2014-16 ($Million) |
Figure 8.35 | Segment Revenue Mix, 2014-16 ($Million) |
Figure 8.36 | Geographic Revenue Mix, 2014-16 ($Million) |
Figure 8.37 | FICO – SWOT Analysis |
Global Anti Money Laundering (AML) Software Market - Analysis and Forecast (2017-2023)
Focus on Software Type (Transaction Monitoring Software, Currency Transaction Reporting , Customer Identity Management, Compliance Management and Others) and Deployment Type (On-Premise and Cloud)