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)

The global Anti-Money Laundering (AML) software market is expected to reach $1420.8 million by 2023. The growth in the AML software market can be significantly attributed to the following factors: monitoring suspicious transactions, regulatory compliance requirements of financial institutions with international regulatory bodies along with analysis of historical consumer data analysis for risk management.

SKU: DT008A

Published Year: 2017

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View Updated Report: Global Anti Money Laundering (AML) Software Market: Analysis and Forecast, 2018-2023

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Rapid advances in financial services and technologies facilitate effortless and prompt transactions of money, worldwide. Although, this exposes the financial institutes to the risk of money laundering, thus, making the mission of combating money-laundering more crucial and urgent than ever. According to United Nations Office on Drugs and Crime (UNODC), money worth of approximately 2% - 5% of global GDP is laundered in a year, which ranges from $800 billion - $2 trillion in current US dollars. Governments of varied nations are forming their own regulatory bodies, in order to address money laundering. For instance, the U.K. established National Crime Agency (NCA) in 2013, which ensures to cut down crimes such as money laundering by monitoring high end customers which include lawyers, trust and company formation agents, investment bankers, and accountants.

The report titled “Global Anti-Money Laundering (AML) Software Market” provides an in-depth analysis of the key development strategies and market trend dynamics which includes drivers, challenges, and opportunities prevailing in the industry. The report provides an extensive insight into various forms of developments, trends and key participants.

The Global AML Software market estimation has been built on detailed assumptions and limitations. The market has been estimated by the type of software, their deployment type, and geographical analysis.

The report profiles 16 organizations across different geographies that allows the readers to gain an insight into the various industry trends.

Key questions answered in the report:

•   What are the major market drivers, challenges and opportunities in the global AML software market?
•   What is the supply chain for the global AML software market?
•   What is the market value of AML software market for different software?
•   What is the market value of AML software market for different deployment type on the basis of on-premise and cloud?
•   What is the market value of AML software market on the basis of different geographical regions?
•   Which geographical location will dominate the AML software market?
•   What will be the growth rate of different segments of the AML software market during the forecast period?
•   Who are the key players for the AML Software market?
•   What are the key developmental strategies implemented by the key players to stand out in this market?
•   What is the market share of the leading players in the global AML software market for 2016?

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TABLE OF CONTENT
Executive Summary
1	Research Scope and Methodology
1.1	Scope of the Report
1.2	Global Anti-Money Laundering Software Market Research Methodology
2	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
3	Industry Analysis
3.1	Patent Analysis
3.2	Consortium, Associations and Regulatory Bodies
3.3	Value Chain Analysis
4	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
5	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
6	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)
7	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)
8	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

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Over the past few years, the financial service industry has witnessed a far-reaching technology-led modifications, with companies looking for improving the efficiency of their financing departments by incorporating innovative IT solutions. In addition, customers have set their expectations and are demanding added worth for their money, along with seamless experience and better services. The banking software industry, in particular, is filled with a range of activities, which are utilizing resources to create value and benefit society, globally, in terms of understanding, exploring, researching, managing, and utilizing financial services. It is expected that in the next decade, the banking industry will witness both revolution and evolution, in terms of facilitating global, multi-service, low-cost, and digital banking. However, with the growth in the banking software industry, there is an increasing demand of regulators to counter the upsurge in financing of terrorism and money laundering incidences.

On-premise deployment type contributed the largest share to the AML software market in 2016, owing to high level of consumer data security provided as compared to cloud deployment. However, cloud deployment is expected to witness the highest growth rate during the forecast period. This delivery model requires monthly or yearly subscriptions which are cheaper as compared to on-premise deployment software. The widespread adoption of cloud based delivery model will be witnessed in future due to the low entry cost as compared to on-premise deployment model. The cloud based deployment model involves the combination of cloud computing with wireless sensor networking, and mobile computing to automatically provide the users with the required data.

Transaction monitoring software had the highest penetration rate in the overall AML software market in 2016, followed by currency transaction reporting, customer identity management, compliance management software, and others. Transaction monitoring software accounted for highest market share in the AML software market for the year 2016, owing to generate full-fledged analysis of a customer, thereby facilitating prediction of risk levels and future money laundering activities, along with providing reports and creating alerts for suspicious activities.

The North American region dominated the AML software market in the year 2016 and will continue to dominate the market, owing to stricter customer identification regulations and compliance for the financial institutions in order to reduce money laundering activities. The Asia Pacific region is expected to foster the highest growth rate in the market during the period, 2017-2023. The factors such as increasing regulatory compliance, adoption of stringent AML regulations, and adoption of the software in various institutions are the major reasons for the constant growth of the AML software market in the region.

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