AI in Fraud Management Market Analysis, Research Study With IBM Corporation, Hewlett Packard Enterprise, Subex Limited

A2Z Market Research

Published

July 18, 2022

AI in Fraud Management

New Jersey, N.J., July 18, 2022 The AI in Fraud Management Market research report provides all the information related to the industry. It gives the outlook of the market by giving authentic data to its client which helps to make essential decisions. It gives an overview of the market which includes its definition, applications and developments, and manufacturing technology. This AI in Fraud Management market research report tracks all the recent developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

Payment fraud detection is the most common type of fraud addressed by artificial intelligence (AI). Its variations are as diverse as the imagination of fraudsters. However, some of the most common types of payment fraud are: lost cards, stolen cards, counterfeit cards, card identity theft, and card non-receipt.

The rapid development of technology indicates that more business processes can now be automated. This meant that machines and software could relieve workers of boring, routine tasks. Big data, machine learning, and artificial intelligence are also helping to automate more complex tasks, but many of these projects fail or fall short of expectations.

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Competitive landscape:

This AI in Fraud Management research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include:IBM Corporation, Hewlett Packard Enterprise, Subex Limited, Temenos AG, Cognizant, Splunk, Inc., BAE Systems, Pelican, DataVisor, Inc., Matellio Inc., MaxMind, Inc., SAS Institute Inc., Capgemini SE, JuicyScore, ACTICO GmbH

Market Scenario:

Firstly, this AI in Fraud Management research report introduces the market by providing an overview which includes definition, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the AI in Fraud Management report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

North America
South America
Asia and Pacific region
Middle East and Africa
Europe

Segmentation Analysis of the market

The market is segmented on the basis of the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Type

Small and Medium Enterprises (SMEs)

Large Enterprises

Others

Market Segmentation: By Application

BFSI

IT&Telecom

Healthcare

Government

Education

Retail&CPG

Media&Entertainment

Others

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An assessment of the market attractiveness with regard to the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants present in the global AI in Fraud Management market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

A qualitative and quantitative analysis of the current trends, dynamics, and estimations from 2022 to 2029.
The analysis tools such as SWOT analysis, and Porter’s five force analysis are utilized which explain the potency of the buyers and suppliers to make profit-oriented decisions and strengthen their business.
The in-depth analysis of the market segmentation helps to identify the prevailing market opportunities.
In the end, this AI in Fraud Management report helps to save you time and money by delivering unbiased information under one roof.

Table of Contents

Global AI in Fraud Management Market Research Report 2022 – 2029

Chapter 1 AI in Fraud Management Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders