Press release
Anti-Money Laundering Software Market Economic Forecasting By 2027| ACI Worldwide, SAS, Oracle, BAE Systems, Accenture, Verafin, OpenText
Anti-Money Laundering Software Market Outlook By 2027
ACI Worldwide, SAS, Oracle, BAE Systems, Accenture, Verafin, OpenText are turning heads in the Anti-Money Laundering Software market because of their product launches, their researches, joint ventures, merges, and accusations. This report brings to you all the companies profiles needed to be in the competition for the Anti-Money Laundering Software market With the help of SWOT analysis the report tell you about all the market restrain and drivers to be followed in the forecast years 2020-2027 While also explaining what the Anti-Money Laundering Software market's definition, classifications, applications, and engagements are.
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The global market for anti-money laundering software market is segmented on various parameters such as deployment type, component, product, industry vertical, and geography. Based on deployment type, on-premise segment dominate the anti-money laundering software market heavily and is expected to continue its dominance throughout the forecast period from 2019 - 2027. On the basis of component, services segment is expected to witness a significant growth rate in the coming years. Further, based on product, transaction monitoring led the market in 2018 with a maximum market share and is expected to continue its dominance during the forecast period.
The financial ecosystem lately has been revolutionized by the rapid developments in the machine learning, data science, and their ability to produce algorithms for predictive data analytics. Machine leaning in the recent times has proved to be holding great promise for the banking system, particularly in the area of detecting hidden patterns and suspicious money-laundering activities. Machine learning facilitates identification of money-laundering typologies, strange and suspicious transactions, behavioral transitions in customers, transactions of customers belonging to same geography, age, groups and other identities; and helps reduce false positives. It also helps analyze similar transactions for focal entities and correlate alerts that were flagged as suspicious in regulatory reports. The advanced capabilities provided by the machine learning and data science enabled AML software is expected to significantly drive the market in coming years.
Competitive Landscape: Anti-Money Laundering Software Market
oACI Worldwide
oSAS
oOracle
oBAE Systems
oAccenture
oVerafin
oOpenText
Read More About This Report At https://bit.ly/2zz7K7B
The financial ecosystem lately has been revolutionized by the rapid developments in the machine learning, data science, and their ability to produce algorithms for predictive data analytics. Machine leaning in the recent times has proved to be holding great promise for the banking system, particularly in the area of detecting hidden patterns and suspicious money-laundering activities. Machine learning facilitates identification of money-laundering typologies, strange and suspicious transactions, behavioral transitions in customers, transactions of customers belonging to same geography, age, groups and other identities; and helps reduce false positives. It also helps analyze similar transactions for focal entities and correlate alerts that were flagged as suspicious in regulatory reports. The advanced capabilities provided by the machine learning and data science enabled AML software is expected to significantly drive the market in coming years.
Furthermore, as money launderers would continue to explore newer ways to use banks for illicit activities the timely detection of the laundering activities is expected to be the most challenging aspect in the implementation of an efficient AML. There are already a numerous innovative technology based products and tools that are available in the market are capable of detecting, tracking and preventing money laundering. Although these technology may not completely eliminate money laundering, they would in spite bring the money laundering under control to a greater extent. Owing to this the financial institutes would sooner raise the demand for such AML software.
Chapter Details of Anti-Money Laundering Software Market:
Part 01: Executive Summary
Part 02: Scope of The Report
Part 03: Anti-Money Laundering Software Market Landscape
Part 04: Anti-Money Laundering Software Market Sizing
Part 05: Anti-Money Laundering Software Market Segmentation by Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
Note: If you have any special requirements, please let us know and we will offer you the report as you want.
Answers that the report acknowledges:
o Market size and growth rate during forecast period.
o Key factors driving the Anti-Money Laundering Software Market
o Key market trends cracking up the growth of the Anti-Money Laundering Software Market
o Challenges to market growth.
o Key vendors of Anti-Money Laundering Software Market
o Detailed SWOT analysis.
o Opportunities and threats faces by the existing vendors in Global Anti-Money Laundering Software Market
o Trending factors influencing the market in the geographical regions.
o Strategic initiatives focusing the leading vendors.
o PEST analysis of the market in the five major region
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Description
The Global Anti-money Laundering Software Industry 2016 Market Research Report is a professional and in-depth study on the current state of the Anti-money Laundering Software industry.
Firstly, the report provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Anti-money Laundering Software market analysis is provided for the international market…
