Global AI in Fraud Management Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global AI in Fraud Management market size was valued at US$ 3997 million in 2024 and is forecast to a readjusted size of USD 5418 million by 2031 with a CAGR of 4.5% during review period.
When fraud is suspected, AI models may be used to reject transactions altogether or flag them for further investigation, as well as rate the likelihood of fraud, allowing investigators to focus their efforts on the most promising instances.
The global AI in fraud management market refers to the market for AI-powered solutions and technologies that are used to detect, prevent, and manage fraudulent activities across various industries. Fraud management is a critical aspect for businesses to safeguard their operations, assets, and customer trust against fraudulent activities such as identity theft, payment fraud, insurance fraud, and cyber fraud.
The market for AI in fraud management has been growing rapidly due to the increasing sophistication of fraud techniques and the need for advanced fraud detection and prevention measures. AI technologies, such as machine learning, natural language processing, and anomaly detection, play a crucial role in identifying patterns, anomalies, and suspicious activities that indicate fraudulent behavior.
Several factors are driving the growth of the AI in fraud management market. Firstly, the rise in digital transactions and online financial activities has led to a surge in fraud attempts. AI-based solutions offer real-time analysis and monitoring capabilities to identify fraud patterns and prevent fraudulent transactions.
Secondly, the evolving nature of fraud attacks requires dynamic and adaptive solutions. AI systems can continuously learn and update their models based on new data, enabling them to detect emerging fraud trends and patterns effectively.
Thirdly, the increasing availability of data, coupled with advancements in computing power and storage capabilities, has created opportunities for AI algorithms to analyze vast amounts of data and identify complex fraud patterns that may be difficult for traditional rule-based systems to detect.
Furthermore, regulatory requirements and compliance standards in various industries, such as banking, insurance, and retail, have made it imperative for organizations to implement robust fraud management systems. AI technologies aid in meeting these requirements by providing advanced analytics, risk assessment, and fraud prevention capabilities.
The AI in fraud management market can be segmented based on the deployment mode, application, organization size, and industry vertical. Deployment modes may include on-premises, cloud-based, and hybrid solutions. Applications can range from fraud detection and prevention to identity authentication and risk assessment. Organization sizes can vary from small and medium enterprises (SMEs) to large enterprises. Industry verticals encompass banking and financial services, insurance, retail and e-commerce, healthcare, and others.
Geographically, the market is spread across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America has traditionally been a prominent market for AI in fraud management, owing to the presence of major technology providers, financial institutions, and stringent regulatory frameworks. However, the market is also witnessing significant growth in other regions due to increasing digitalization and the adoption of AI technologies.
In conclusion, the global AI in fraud management market is experiencing substantial growth due to the increasing need for advanced fraud detection and prevention solutions across various industries. AI technologies provide organizations with powerful tools to combat fraudulent activities, safeguard their operations, and protect customer trust.
This report is a detailed and comprehensive analysis for global AI in Fraud Management market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Fraud Management market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Fraud Management
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Fraud Management market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM Corporation, Hewlett Packard Enterprise, Subex Limited, Temenos AG, Cognizant, Splunk, Inc., BAE Systems, Pelican, DataVisor, Inc., Matellio Inc., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Fraud Management market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Small and Medium Enterprises (SMEs)
Large Enterprises
Others
Market segment by Application
BFSI
IT&Telecom
Healthcare
Government
Education
Retail&CPG
Media&Entertainment
Others
Market segment by players, this report covers
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 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Fraud Management product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Fraud Management, with revenue, gross margin, and global market share of AI in Fraud Management from 2020 to 2025.
Chapter 3, the AI in Fraud Management competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI in Fraud Management market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Fraud Management.
Chapter 13, to describe AI in Fraud Management research findings and conclusion.
When fraud is suspected, AI models may be used to reject transactions altogether or flag them for further investigation, as well as rate the likelihood of fraud, allowing investigators to focus their efforts on the most promising instances.
The global AI in fraud management market refers to the market for AI-powered solutions and technologies that are used to detect, prevent, and manage fraudulent activities across various industries. Fraud management is a critical aspect for businesses to safeguard their operations, assets, and customer trust against fraudulent activities such as identity theft, payment fraud, insurance fraud, and cyber fraud.
The market for AI in fraud management has been growing rapidly due to the increasing sophistication of fraud techniques and the need for advanced fraud detection and prevention measures. AI technologies, such as machine learning, natural language processing, and anomaly detection, play a crucial role in identifying patterns, anomalies, and suspicious activities that indicate fraudulent behavior.
Several factors are driving the growth of the AI in fraud management market. Firstly, the rise in digital transactions and online financial activities has led to a surge in fraud attempts. AI-based solutions offer real-time analysis and monitoring capabilities to identify fraud patterns and prevent fraudulent transactions.
Secondly, the evolving nature of fraud attacks requires dynamic and adaptive solutions. AI systems can continuously learn and update their models based on new data, enabling them to detect emerging fraud trends and patterns effectively.
Thirdly, the increasing availability of data, coupled with advancements in computing power and storage capabilities, has created opportunities for AI algorithms to analyze vast amounts of data and identify complex fraud patterns that may be difficult for traditional rule-based systems to detect.
Furthermore, regulatory requirements and compliance standards in various industries, such as banking, insurance, and retail, have made it imperative for organizations to implement robust fraud management systems. AI technologies aid in meeting these requirements by providing advanced analytics, risk assessment, and fraud prevention capabilities.
The AI in fraud management market can be segmented based on the deployment mode, application, organization size, and industry vertical. Deployment modes may include on-premises, cloud-based, and hybrid solutions. Applications can range from fraud detection and prevention to identity authentication and risk assessment. Organization sizes can vary from small and medium enterprises (SMEs) to large enterprises. Industry verticals encompass banking and financial services, insurance, retail and e-commerce, healthcare, and others.
Geographically, the market is spread across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America has traditionally been a prominent market for AI in fraud management, owing to the presence of major technology providers, financial institutions, and stringent regulatory frameworks. However, the market is also witnessing significant growth in other regions due to increasing digitalization and the adoption of AI technologies.
In conclusion, the global AI in fraud management market is experiencing substantial growth due to the increasing need for advanced fraud detection and prevention solutions across various industries. AI technologies provide organizations with powerful tools to combat fraudulent activities, safeguard their operations, and protect customer trust.
This report is a detailed and comprehensive analysis for global AI in Fraud Management market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Fraud Management market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI in Fraud Management market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Fraud Management
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Fraud Management market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM Corporation, Hewlett Packard Enterprise, Subex Limited, Temenos AG, Cognizant, Splunk, Inc., BAE Systems, Pelican, DataVisor, Inc., Matellio Inc., etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Fraud Management market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Small and Medium Enterprises (SMEs)
Large Enterprises
Others
Market segment by Application
BFSI
IT&Telecom
Healthcare
Government
Education
Retail&CPG
Media&Entertainment
Others
Market segment by players, this report covers
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 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Fraud Management product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Fraud Management, with revenue, gross margin, and global market share of AI in Fraud Management from 2020 to 2025.
Chapter 3, the AI in Fraud Management competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI in Fraud Management market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Fraud Management.
Chapter 13, to describe AI in Fraud Management research findings and conclusion.
Table of Contents
109 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
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