AI-Based Anti-Money Laundering (AML) Solutions Market is anticipated to add 8X value by 2031

The latest industry analysis on AI-Based Anti-Money Laundering (AML) Solutions Market provides sales outlook in 20+ countries, across key categories Product, Application, Sales Channel. Insights on AI-Based Anti-Money Laundering (AML) Solutions Market drivers, trends, and influencing factors are also included in the study.

The detailed research report on the global AI-Based Anti-Money Laundering (AML) Solutions Market focuses on the macro as well as microeconomic factors that are helping its development. The report also concentrates on the regulatory framework that is shaping the future of the global market. Furthermore, the research report also makes not of the existing as well as prevailing pricing structure, emerging areas of applications, and imminent investment opportunities in the global market.

The AI-Based Anti-Money Laundering (AML) Solutions Market study outlines the key regions – Europe, China, Japan and South Africa – along with the countries contributing the most in the respective regions. The report presents detailed insights about each market player, including SWOT analysis, main market information, market share, revenue, pricing and gross margin.

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Prominent players covered in this research are

  • ACI Worldwide, Inc.
  • FICO (Fair, Isaac and Company)
  • SAS Institute Inc.
  • Brighterion, Inc.
  • IBM
  • Genpact Limited
  • Fenergo
  • Compliance AI
  • BAE Systems

Fact.MR has released its AI-based anti-money laundering (AML) solutions market report, which has revealed the past performance of the industry as well as the future growth of technology enabled anti-money laundering solutions.

Money launderers continues to outsmart existing prevention financial and technological infrastructure, albeit the finance industry worldwide invests over US$ 75 Bn on AML solutions. Over a billion dollars were invested by U.S. and Canadian agencies alone in 2019 to upscale their anti-money laundering tools.

Advanced cognitive technologies integrating AI and machine learning enables the system to automatically detect true money laundering instances. Implemented new systems immix the power of big data analytics and ML in identifying breach designs, and alert systems for similar events, thus preventing money laundering activities.

Report Benefits & Key Questions Answered

  • AI-Based Anti-Money Laundering (AML) Solutions Market Company & brand share analysis: Company and brand share analysis on AI-Based Anti-Money Laundering (AML) Solutions Market  reveals how much market share is captured by Tier 1, Tier 2, and Tier 3 players
  • AI-Based Anti-Money Laundering (AML) Solutions Market Historical volume analysis: The industry analysis provides data & insights on historical volume sales of AI-Based Anti-Money Laundering (AML) Solutions Market
  • AI-Based Anti-Money Laundering (AML) Solutions Market Category & segment level analysis: Fact.MR’s AI-Based Anti-Money Laundering (AML) Solutions Market sales outlook offers category and segment level analysis on lucrative and nascent product types. Market players can use this information to identify sales potential and set sales targets at local, country, and regional level.
  • AI-Based Anti-Money Laundering (AML) Solutions Market Consumption by demographics: The market intelligence study provides consumption by demographics analysis so market players can design their product and marketing strategies on the basis of high-value consumers
  • Post COVID consumer spending on AI-Based Anti-Money Laundering (AML) Solutions Market: The report includes post COVID consumer spending analysis. This information will help business leads understand the shifts in purchasing power and behavior
  • Manufacturing trend analysis: Vital information on how market players are aligning their manufacturing strategies with respect to evolving consumer sentiments.

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What insights does the AI-Based Anti-Money Laundering (AML) Solutions Market report provide to the readers?

  • AI-Based Anti-Money Laundering (AML) Solutions Market fragmentation on the basis of product type, end use, and region.
  • Comprehensive assessment of upstream starting materials, downstream demand, and present market landscape.
  • Collaborations, R&D projects, acquisitions, and product launches of each AI-Based Anti-Money Laundering (AML) Solutions Market player.
  • Various regulations imposed by the governments on the consumption of AI-Based Anti-Money Laundering (AML) Solutions Market in detail.

Key Segments Covered in the AI-Based Anti-Money Laundering (AML) Solutions Market Survey

  •    By End User
    • Banks
    • Insurance Companies
    • Asset Management
    • Money Service Businesses
    • Securities
    • Other FSIs
  •  By Use Case
    • Transaction Monitoring
    • KYC (Know Your Customer)
    • Fraud, Risk & Compliance
      • Trade AML
      • Capital Markets AML
      • Correspondent Banking AML
      • Fraud
      • Credit Risk
    • Crime Pattern Detection
    • Risk Scoring Customers and Accounts
    • Watch-List Screening
    • Alert Management and Reporting
    • Other Solutions
  • By Region :
    • North America
    • Latin America
    • Europe
    • East Asia
    • South Asia & Oceania
    • MEA

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