AI-Based Anti-Money Laundering (AML) Solutions Market is Projected to Reach US$ 8.49 Billion by 2033

According to Fact.MR’s latest industry analysis, the global AI-based anti-money laundering (AML) solutions market stands at a valuation of US$ 1.94 billion in 2023. Sales of AI-based anti-money laundering solutions are forecasted to increase at a robust CAGR of 15.9% and reach US$ 8.49 billion by the end of 2033.

AI-based AML solutions make use of the strengths of data analytics and machine learning algorithms to spot suspicious activity, cut down on false positives, and enhance overall detection capabilities. Transaction monitoring, KYC, criminal pattern recognition, risk grading of customers and accounts, watchlist screening, alert management & reporting, and fraud, risk, and compliance are all common uses for AI-based anti-money laundering solutions.

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The readability score of the AI-Based Anti-Money Laundering (AML) Solutions Market Demand report is good as it offers chapter-wise layout with each section divided into a smaller sections.

The report encompasses graphs and tables to show the entire assembling. Pictorial demonstration of the definite and estimated values of key segments is visually appealing to readers.

This AI-Based Anti-Money Laundering (AML) Solutions market outlook report explicates on vital dynamics such as the drivers, restraints and opportunities for key players and competitive analysis of AI-Based Anti-Money Laundering (AML) Solutions along with key stakeholders as well as emerging players associated with the manufacturing of product.

Competitive landscape:

Key market players are investing in research and development projects to enhance the capabilities of their AML solutions. They are also forming strategic partnerships and collaborations with other industry players, such as financial institutions, technology providers, or regulatory bodies. These partnerships allow for knowledge-sharing, access to new markets, and the development of comprehensive solutions that address the specific needs of different stakeholders.

  • WL-X, a ground-breaking, next-generation Watch List (WL) screening system that uses artificial intelligence for enhanced data management, enhanced screening capabilities, and seamless customer onboarding, was introduced by Nice Actimize on February 11, 2021.
  • ThetaRay, a supplier of AI-based big data analytics, introduced SONAR Solutions on April 27, 2021. This is an anti-money laundering cross-border payments solution as a cloud service.

Key Companies Profiled:

  • ACI Worldwide, Inc.
  • FICO (Fair, Isaac, and Company)
  • SAS Institute Inc.
  • Brighterion, Inc.
  • IBM
  • Genpact Limited
  • Fenergo
  • Compliance AI
  • BAE Systems
  • Temenos AG
  • Pegasystems Inc.
  • ComplyAdvantage
  • NICE Actimize
  • DataVisor Inc.

Key Segments Covered in AI-Based AML Solutions Industry Research:

·         By Use Case :

  • Transaction Monitoring
  • KYC
  • Crime Pattern Detection
  • Risk Scoring Customers & Accounts
  • Watch-list Screening
  • Alert Management & Reporting
  • Fraud, Risk, & Compliance

·         By End User :

  • Banks
  • Insurance Companies
  • Asset Management
  • Money Service Businesses
  • Securities

·         By Region :

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Oceania
  • MEA

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Regional Analysis For AI-Based Anti-Money Laundering (AML) Solutions Market:

  • APAC (Japan, China, South Korea, Australia, India, and the rest of APAC; the rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
  • Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
  • North America (USA, Canada and Mexico)
  • South America (Brazil, Chile, Argentina, Rest of South America)
  • MEA (Saudi Arabia, United Arab Emirates, South Africa)

Questionnaire answered in the Market outlook Report of AI-Based Anti-Money Laundering (AML) Solutions include:

  • What is the key strategy deployed by large players to maximize AI-Based Anti-Money Laundering (AML) Solutions Market growth?
  • What are the main challenges faced by players in the AI-Based Anti-Money Laundering (AML) Solutions market Demand?
  • With the advent of technological advancement, how will the AI-Based Anti-Money Laundering (AML) Solutions market landscape change over the forecast period?
  • What does player bring to the table which is unique as a strategy, and is easy to emulate for new investors in the AI-Based Anti-Money Laundering (AML) Solutions market size?

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