Summary
A recent market study published on the AI in Fraud Management market includes a global industry analysis for 2016-2020 and opportunity assessment for 2021-2031, and delivers a comprehensive assessment of the most important market dynamics. After conducting a thorough research on the historical as well as current growth parameters, growth prospects of the market are obtained with maximum precision.
AI in Fraud Management Market: Segmentation
The global AI in fraud management market is segmented in detail to cover every aspect of the market and present a complete market intelligence approach to readers.
Solution
AI-powered Fraud Prevention Software
Cloud-based
On-Premises
Services
Professional Services
Risk Assessment Services
Fraud & Risk Consulting
Integration & Implementation
Support & Maintenance
Managed Services
Application
Identity Theft Protection
Payment Fraud Prevention
Anti-Money Laundering
Others
Enterprise Size
Small & Medium Enterprises (SMEs)
Large Enterprises
Industry
BFSI
IT & Telecom
Healthcare
Government
Education
Retail & CPG
Media & Entertainment
Others
Region
North America
Latin America
Europe
East Asia
South Asia & Pacific
Middle East & Africa
Report Chapters
Chapter 01 – Executive Summary
The report begins with the executive summary of the AI in fraud management market, which includes a summary of key findings and statistics of the market. It also includes the demand and supply-side trends pertaining to the market.
Chapter 02 – Market Overview
Readers can find the definition and detailed taxonomy of the AI in fraud management market in this chapter, which will help them understand the basic information about the market. Along with this, comprehensive information pertaining to AI in fraud management market and its properties are provided in this section. This section also highlights the inclusions and exclusions, which help readers understand the scope of the AI in fraud management market report.
Chapter 03 – Key Market Trends
The AI in fraud management market report provides key market trends and key features that are expected to significantly impact market growth during the forecast period. Detailed end user trends are also provided in this section.
Chapter 04 – AI in Fraud Management - Pricing Analysis
The section provides information regarding the pricing of software (licence & subscription based).
Chapter 05 – COVID-19 Impact Analysis
The section provides information regarding the impact of COVID-19 pandemic on AI in fraud management market.
Chapter 06 – Market Structure Analysis
In this chapter, readers can find detailed information about the tier analysis and market concentration of key players in the AI in fraud management market, along with their market presence analysis by region and product portfolio.
Chapter 07 – Global AI in Fraud Management Market Demand (in US$ Mn) Analysis 2016-2020 and Opportunity Assessment 2021-2031
This section explains the global market value analysis and forecast for the AI in fraud management market during the forecast period of 2021-2031. It includes a detailed analysis of the historical AI in fraud management market, along with an opportunity analysis of the future. Readers can also find the absolute $ opportunity for the current year (2021), and an incremental $ opportunity for the forecast period (2021–2031).
Chapter 08 – Market Background
This chapter explains the key macroeconomic factors that are expected to influence the growth of the AI in fraud management market over the forecast period. Along with macroeconomic factors, this section also highlights the supply chain, forecast factors, and value chain analysis of the AI in fraud management market. Moreover, in-depth information about the market dynamics and their impact analysis on the market have been provided in the successive section.
Chapter 09 – Global AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031, by Solution
Based on solution, the AI in fraud management market is segmented into AI-powered fraud prevention software (cloud-based and on-premises), and services (professional and managed). In this chapter, readers can find information about key trends and developments in the AI in fraud management market and market attractiveness analysis based on solution.
Chapter 10 – Global AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031, by Application
Based on application, the AI in fraud management market is segmented into identity theft protection, payment fraud prevention, anti-money laundering, and others. In this chapter, readers can find information about key trends and developments in the AI in Fraud Management market and market attractiveness analysis based on application.
Chapter 11 – Global AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031, by Enterprise Size
Based on enterprise size, the AI in fraud management market is segmented into small and medium enterprises (SMEs) and large enterprises. In this chapter, readers can find information about key trends and developments in the AI in fraud management market and market attractiveness analysis based on enterprise size.
Chapter 12 – Global AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031, by Industry
This chapter provides various details about the AI in fraud management market based on industry, and has been classified into BFSI, IT & telecom, healthcare, government, education, retail & CPG, media & entertainment, and others. In this chapter, readers can understand the market attractiveness analysis based on vertical.
Chapter 13 – Global AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031, by Region
This chapter explains how the AI in fraud management market is anticipated to grow across various geographic regions such as North America, Latin America, Europe, East Asia, South Asia & Pacific, and the Middle East & Africa.
Chapter 14 – North America AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
This chapter includes a detailed analysis on the growth of the North America AI in fraud management market, along with a country-wise assessment that includes the U.S. and Canada. Readers can also find the regional trends, and market growth based on solution, enterprise size, vertical, and countries in North America.
Chapter 15 – Latin America AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
This chapter provides the growth scenario of the AI in fraud management market in Latin American countries such as Brazil, Mexico, and the rest of Latin America. Along with this, assessment of the market across target segments has also been provided.
Chapter 16 – Europe AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
Important growth prospects of the AI in fraud management market in several countries such as Germany, the UK, France, Spain, Italy, BENELUX, Russia and the rest of Europe are included in this chapter.
Chapter 17 – East Asia AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
This chapter provides the growth scenario of the AI in fraud management market in East Asian countries such as China, Japan, and South Korea.
Chapter 18 – South Asia & Pacific AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
This chapter highlights the growth of the AI in fraud management market in the South Asia & Pacific region by focusing on India, Malaysia, Indonesia, Singapore, Australia & New Zealand, and the rest of South Asia & Pacific. This section also help readers understand key factors that are responsible for the growth of the AI in fraud management market in the South Asia & Pacific region.
Chapter 19 – MEA AI in Fraud Management Market Analysis 2016-2020 and Opportunity Assessment 2021-2031
This chapter provides information about how the AI in fraud management market is anticipated to grow in major countries in the MEA region, such as GCC countries, South Africa, North Africa, Turkey, and the rest of MEA, during the forecast period of 2021-2031.
Chapter 20 – Key Countries Analysis
This chapter provides information about key countries analysis on AI in fraud management market. The chapter provides information regarding incremental opportunity share.
Chapter 21 – Competition Analysis
In this chapter, readers can find a comprehensive list of all the prominent stakeholders in the AI in fraud management market, along with the detailed information about each company. This includes the company overview, revenue shares, strategic overview, and recent company developments. Some of the market players featured in the report are 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., and ACTICO GmbH among others.
Chapter 22 – Assumptions and Acronyms
This chapter includes a list of acronyms and assumptions that provides a base to the information and statistics included in the AI in fraud management market report.
Chapter 23 – Research Methodology
This chapter help readers understand the research methodology followed to obtain various conclusions as well as important qualitative and quantitative information about the AI in fraud management market.
Sources and Primary Research Splits (%)
End-user Interactions
Key Designations
C - Level Executives
Marketing Directors
Sales Heads
Sales Executives
Technical Advisors
Stakeholder Category
AI based Fraud Management Solution Providers
Distributors
End Users
Key Questions
Current Market Dynamics and Challenges
Market Characteristics
Market Performance and Growth Quadrants
Competition Structure and Market Structure
Strategic Growth Initiatives
Near Term and Long Term Market Growth Prospects
Market Segment Splits and Authenticity
Opinions on Market Projections and Validity of Assumptions
References Catalogue
Company White Papers
Annual Reports and Investor Presentations
Research Papers
Company Press Release
Government Websites and Publications
