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Global AI-Based Fraud Detection Tools Market report categorizes the market based on type, application, regions (North America, Europe and Asia-Pacific, South America, Middle East and Africa), and manufacturers (IBM, Microsoft, Accertify, SEON, Kount, Alessa, Veridas, Riskified, ClearSale, AdvaRisk, Sift, Signifyd, Emailage, ArkOwl, Mastercard(Ekata), TruValidate, ThreatMetrix, Cybersource, FraudHunt, OneSpan, Ethoca, Visa, RSA Security).
"Final Report will add the analysis of the impact of COVID-19 on this industry."
Report on the global "AI-Based Fraud Detection Tools Market" with an emphasis on its size, share, trends, types, applications, segmentation analysis, and geographical areas. An in-depth analysis of the market's present and future state, as well as the growth revenue and CAGR status of the top manufacturers, is included in the Global AI-Based Fraud Detection Tools Market research. The research is a crucial resource for companies trying to enter or grow in the AI-Based Fraud Detection Tools market since it offers insightful information on market trends, chances, and difficulties. Additionally, it has a before and post COVID-19 Market Outbreak Impact Analysis that highlights the pandemic's effects on the market and gives a general picture of the present state of affairs in many locations.
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Market Analysis and Insights: Global AI-Based Fraud Detection Tools Market
The global AI-Based Fraud Detection Tools market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Fraud detection software, or online fraud detection software, is used to detect illegitimate and high-risk online activities. These tools continuously monitor user behavior and calculate risk figures to identify potentially fraudulent purchases, transactions, or access. Fraud detection tools are used by the IT and compliance departments of businesses and digital banking companies to monitor potential fraudulent actions made by their users. Companies adopt these tools to prevent cyberattacks, fraudulent transactions, and identity theft while protecting sensitive information about the business and its customers. Utilizing machine learning and real-time behavior analytics, fraud detection tools can perform real-time risk classification based on device and IP reputation and other factors.
This report is a detailed and comprehensive analysis for global AI-Based Fraud Detection Tools market. Both quantitative and qualitative analyses are presented by company, by region and 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 2023, are provided.
Market segmentation
AI-Based Fraud Detection Tools market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
The major players covered in the AI-Based Fraud Detection Tools market report are:
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Market segment by Type
Market segment by Application
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Market segment by region, regional analysis covers
Key Features of AI-Based Fraud Detection Tools Market:
The Primary Objectives in This Report Are:
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Key Questions Answered
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe AI-Based Fraud Detection Tools product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of AI-Based Fraud Detection Tools, with price, sales, revenue and global market share of AI-Based Fraud Detection Tools from 2018 to 2023.
Chapter 3, the AI-Based Fraud Detection Tools competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the AI-Based Fraud Detection Tools breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2018 to 2029.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2018 to 2029.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2022.and AI-Based Fraud Detection Tools market forecast, by regions, type and application, with sales and revenue, from 2024 to 2029.
Chapter 12, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War.
Chapter 13, the key raw materials and key suppliers, and industry chain of AI-Based Fraud Detection Tools.
Chapter 14 and 15, to describe AI-Based Fraud Detection Tools sales channel, distributors, customers, research findings and conclusion.
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Detailed TOC of Global AI-Based Fraud Detection Tools Market 2023 by Manufacturers, Regions, Typeand Application, Forecast to 2029
1 Market Overview
1.1 Product Overview and Scope of AI-Based Fraud Detection Tools
1.2 Market Estimation Caveats and Base Year
1.3 Market Analysis by Type
1.3.1 Overview: Global AI-Based Fraud Detection Tools Consumption Value by Type: 2018 Versus 2022 Versus 2029
1.4 Market Analysis by Application
1.4.1 Overview: Global AI-Based Fraud Detection Tools Consumption Value by Application: 2018 Versus 2022 Versus 2029
1.5 Global AI-Based Fraud Detection Tools Market Size and Forecast
1.5.1 Global AI-Based Fraud Detection Tools Consumption Value (2018 and 2022 and 2029)
1.5.2 Global AI-Based Fraud Detection Tools Sales Quantity (2018-2029)
1.5.3 Global AI-Based Fraud Detection Tools Average Price (2018-2029)
2 Manufacturers Profiles
2.1 Manufacture 1
2.1.1 Manufacture 1 Details
2.1.2 Manufacture 1 Major Business
2.1.3 Manufacture 1 AI-Based Fraud Detection Tools Product and Services
2.1.4 Manufacture 1 AI-Based Fraud Detection Tools Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2018-2023)
2.1.5 Manufacture 1 Recent Developments/Updates
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3 Competitive Environment: AI-Based Fraud Detection Tools by Manufacturer
3.1 Global AI-Based Fraud Detection Tools Sales Quantity by Manufacturer (2018-2023)
3.2 Global AI-Based Fraud Detection Tools Revenue by Manufacturer (2018-2023)
3.3 Global AI-Based Fraud Detection Tools Average Price by Manufacturer (2018-2023)
3.4 Market Share Analysis (2022)
3.4.1 Producer Shipments of AI-Based Fraud Detection Tools by Manufacturer Revenue (USD MM) and Market Share (percentage): 2022
3.4.2 Top 3 AI-Based Fraud Detection Tools Manufacturer Market Share in 2022
3.4.2 Top 6 AI-Based Fraud Detection Tools Manufacturer Market Share in 2022
3.5 AI-Based Fraud Detection Tools Market: Overall Company Footprint Analysis
3.5.1 AI-Based Fraud Detection Tools Market: Region Footprint
3.5.2 AI-Based Fraud Detection Tools Market: Company Product Type Footprint
3.5.3 AI-Based Fraud Detection Tools Market: Company Product Application Footprint
3.6 New Market Entrants and Barriers to Market Entry
3.7 Mergers, Acquisition, Agreements, and Collaborations
4 Consumption Analysis by Region
4.1 Global AI-Based Fraud Detection Tools Market Size by Region
4.1.1 Global Sales Quantity by Region (2018-2029)
4.1.2 Global Consumption Value by Region (2018-2029)
4.1.3 Global Average Price by Region (2018-2029)
4.2 North America Consumption Value (2018-2029)
4.3 Europe Consumption Value (2018-2029)
4.4 Asia-Pacific Consumption Value (2018-2029)
4.5 South America Consumption Value (2018-2029)
4.6 Middle East and Africa Consumption Value (2018-2029)
5 Market Segment by Type
5.1 Global AI-Based Fraud Detection Tools Sales Quantity by Type (2018-2029)
5.2 Global AI-Based Fraud Detection Tools Consumption Value by Type (2018-2029)
5.3 Global AI-Based Fraud Detection Tools Average Price by Type (2018-2029)
6 Market Segment by Application
6.1 Global AI-Based Fraud Detection Tools Sales Quantity by Application (2018-2029)
6.2 Global AI-Based Fraud Detection Tools Consumption Value by Application (2018-2029)
6.3 Global AI-Based Fraud Detection Tools Average Price by Application (2018-2029)
7 North America
7.1 North America AI-Based Fraud Detection Tools Sales Quantity by Type (2018-2029)
7.2 North America Sales Quantity by Application (2018-2029)
7.3 North America Market Size by Country
7.3.1 North America Sales Quantity by Country (2018-2029)
7.3.2 North America Consumption Value by Country (2018-2029)
7.3.3 United States Market Size and Forecast (2018-2029)
7.3.4 Canada Market Size and Forecast (2018-2029)
7.3.5 Mexico Market Size and Forecast (2018-2029)
8 Europe
8.1 Europe AI-Based Fraud Detection Tools Sales Quantity by Type (2018-2029)
8.2 Europe Sales Quantity by Application (2018-2029)
8.3 Europe Market Size by Country
8.3.1 Europe Sales Quantity by Country (2018-2029)
8.3.2 Europe Consumption Value by Country (2018-2029)
8.3.3 Germany Market Size and Forecast (2018-2029)
8.3.4 France Market Size and Forecast (2018-2029)
8.3.5 United Kingdom Market Size and Forecast (2018-2029)
8.3.6 Russia Market Size and Forecast (2018-2029)
8.3.7 Italy Market Size and Forecast (2018-2029)
…
12.1 AI-Based Fraud Detection Tools Market Drivers
12.2 AI-Based Fraud Detection Tools Market Restraints
12.3 AI-Based Fraud Detection Tools Trends Analysis
12.4 Porters Five Forces Analysis
12.4.1 Threat of New Entrants
12.4.2 Bargaining Power of Suppliers
12.4.3 Bargaining Power of Buyers
12.4.4 Threat of Substitutes
12.4.5 Competitive Rivalry
12.5 Influence of COVID-19 and Russia-Ukraine War
12.5.1 Influence of COVID-19
12.5.2 Influence of Russia-Ukraine War
13 Raw Material and Industry Chain
13.1 Raw Material of AI-Based Fraud Detection Tools and Key Manufacturers
13.2 Manufacturing Costs Percentage of AI-Based Fraud Detection Tools
13.3 AI-Based Fraud Detection Tools Production Process
13.4 AI-Based Fraud Detection Tools Industrial Chain
14 Shipments by Distribution Channel
14.1 Sales Channel
14.1.1 Direct to End-User
14.1.2 Distributors
14.2 AI-Based Fraud Detection Tools Typical Distributors
14.3 AI-Based Fraud Detection Tools Typical Customers
15 Research Findings and Conclusion
16 Appendix
16.1 Methodology
16.2 Research Process and Data Source
16.3 Disclaimer
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