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Global AI in Fraud Management Market By Type ( Cloud-based and On-Premises ), By Application (Identity Theft Protection, Payment Fraud Prevention, Anti-Money Laundering, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2022-2031
  • Report ID 136907
  • Published Date 01-Sept
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details 
    The report on AI in Fraud Management Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years up to 2031. The global AI in Fraud Management market is segmented on the basis of type, application and geography.
    

    The worldwide market for AI in Fraud Management Market is expected to grow at a CAGR of roughly x.x% over the next ten years and will reach US$ XX.X Mn in 2028, from US$ XX.X Mn in 2018, according to a new Market.us (Prudour Research) study.
    

    AI in Fraud Management Market Scope:
    

    By type, the market is segmented into Cloud-based and On-Premises. By application, the market is divided into Identity Theft Protection, Payment Fraud Prevention, Anti-Money Laundering, Others.
    

    Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America and Middle East and Africa. Major players profiled in the report include IBM Corporation, Cognizant, Temenos AG, Capgemini SE, Subex Limited, JuicyScore, Hewlett Packard Enterprise, MaxMind, Inc., BAE Systems plc, Pelican, SAS Institute Inc., Splunk, Inc., DataVisor, Inc., Matellio Inc., ACTICO GmbH
    

    Key Market Segments:
    
Type
    

    Cloud-based
    

    On-premises
    

    Application
    

    Identity Theft Protection
    

    Payment Fraud Prevention
    

    Anti-Money Laundering
    

    Others
    

    Key Market Players included in the report:
    

    IBM Corporation
    

    Cognizant
    

    Temenos AG
    

    Capgemini SE
    

    Subex Limited
    

    JuicyScore
    

    Hewlett Packard Enterprise
    

    MaxMind, Inc.
    

    BAE Systems plc
    

    Pelican
    

    SAS Institute Inc.
    

    Splunk, Inc.
    

    DataVisor, Inc.
    

    Matellio Inc.
    

    ACTICO GmbH
    

    Reasons to Get this Report:
    

    In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and AI in Fraud Management Market share analysis of high players, along with company profiles and which collectively include the fundamental opinions regarding the market landscape. Emerging and high-growth sections of AI in Fraud Management Market, high-growth regions, and market drivers, restraints and also market chances.
    

    The analysis covers AI in Fraud Management Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global AI in Fraud Management Market across sections such as also application and representatives.
    

    Additionally, the analysis also has a comprehensive review of the crucial players in the AI in Fraud Management Market together side their company profiles, SWOT analysis, latest advancements and business plans.
    

    The analysis objectives of the report are:
    

    To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers and industry-specific challenges and risks).
    

    To know the AI in Fraud Management Market by pinpointing its many subsegments.
    

    To profile the important players and analyze their growth plans.
    

    To endeavor the amount and value of AI in Fraud Management sub-markets, depending on key regions (various vital states).
    

    To analyze AI in Fraud Management Market concerning growth trends, prospects and also their participation in the entire sector.
    

    To examine and study the AI in Fraud Management Market size (volume & value) from the company, essential regions/countries, products and application, background information from 2015 to 2020 and also prediction to 2031.
    

    Primary worldwide AI in Fraud Management Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    

    To examine competitive progress such as expansions, arrangements, new product launches and acquisitions on the market.
  • Table Of Content

    1. AI in Fraud Management Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope

    2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players

    3. Global AI in Fraud Management Market Overview

    3.1. AI in Fraud Management Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges

    3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Manufacturer Intensity Map

    4. Global AI in Fraud Management Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global AI in Fraud Management Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. On-premises
    4.4. Cloud-Based

    5. Global AI in Fraud Management Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global AI in Fraud Management Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Identity Theft Protection

    5.4. Payment Fraud Prevention

    5.5 Anti-Money Laundering

    5.6. Others

    6. Global AI in Fraud Management Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America AI in Fraud Management Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2. Europe

    6.2.1. Europe AI in Fraud Management Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific AI in Fraud Management Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia

    6.4. Latin America

    6.4.1. Latin America AI in Fraud Management Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa AI in Fraud Management Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA

    7. Global AI in Fraud Management Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. IBM Corporation

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments

    7.4. Cognizant

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments

    7.5. Temenos AG

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments

    7.6. Capgemini SE

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments

    7.7. Subex Limited

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments

    7.8. JuicyScore

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments

    7.9. Hewlett Packard Enterprise

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments

    7.10. MaxMind, Inc.

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments

    7.11. BAE Systems plc

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments

    7.12. Pelican

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments

    7.13. SAS Institute Inc.

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments

    7.14. Splunk, Inc.

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments

    7.15. DataVisor, Inc.

    7.15.1. Company Overview
    7.15.2. Financial Highlights
    7.15.3. Product Portfolio
    7.15.4. SWOT Analysis
    7.15.5. Key Strategies and Developments

    7.16. Matellio Inc.

    7.16.1. Company Overview
    7.16.2. Financial Highlights
    7.16.3. Product Portfolio
    7.16.4. SWOT Analysis
    7.16.5. Key Strategies and Developments

    7.17. ACTICO GmbH

    7.17.1. Company Overview
    7.17.2. Financial Highlights
    7.17.3. Product Portfolio
    7.17.4. SWOT Analysis
    7.17.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
 
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