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Global Fraud Detection and Blocking Management Software Market Research Report 2024
Synopsis
Fraud detection and blocking management software is a software tool used to detect and block fraud. This software identifies potential fraud by analyzing user behavior, transactions and activity patterns, and using machine learning and artificial intelligence technology. Once suspicious activity is detected, the software takes immediate action, such as blocking transactions or issuing a warning to the user.
The global Fraud Detection and Blocking Management Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Fraud detection and blocking management software is important for protecting users' personal information and property. By using this software, users can reduce the risk of fraud and take timely measures to prevent fraud from occurring.
This report aims to provide a comprehensive presentation of the global market for Fraud Detection and Blocking Management Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Fraud Detection and Blocking Management Software.
Report Scope
The Fraud Detection and Blocking Management Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Fraud Detection and Blocking Management Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Fraud Detection and Blocking Management Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
DataWalk
Razorpay
Fiserv
Sumsub
Riskified
SAS
Softprom
FRISS
IBM
PayPal
Visa
NetGuardians
Kount
AltexSoft
SEON Technologies
Covery
Mavenir
Forter
Stripe
Bolt
Segment by Type
On-premise
Cloud Based
Segment by Application
Personal
Enterprise
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Fraud Detection and Blocking Management Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Fraud detection and blocking management software is a software tool used to detect and block fraud. This software identifies potential fraud by analyzing user behavior, transactions and activity patterns, and using machine learning and artificial intelligence technology. Once suspicious activity is detected, the software takes immediate action, such as blocking transactions or issuing a warning to the user.
The global Fraud Detection and Blocking Management Software market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Fraud detection and blocking management software is important for protecting users' personal information and property. By using this software, users can reduce the risk of fraud and take timely measures to prevent fraud from occurring.
This report aims to provide a comprehensive presentation of the global market for Fraud Detection and Blocking Management Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Fraud Detection and Blocking Management Software.
Report Scope
The Fraud Detection and Blocking Management Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Fraud Detection and Blocking Management Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Fraud Detection and Blocking Management Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
DataWalk
Razorpay
Fiserv
Sumsub
Riskified
SAS
Softprom
FRISS
IBM
PayPal
Visa
NetGuardians
Kount
AltexSoft
SEON Technologies
Covery
Mavenir
Forter
Stripe
Bolt
Segment by Type
On-premise
Cloud Based
Segment by Application
Personal
Enterprise
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Fraud Detection and Blocking Management Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Fraud Detection and Blocking Management Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-premise
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Fraud Detection and Blocking Management Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Personal
1.3.3 Enterprise
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Fraud Detection and Blocking Management Software Market Perspective (2019-2030)
2.2 Fraud Detection and Blocking Management Software Growth Trends by Region
2.2.1 Global Fraud Detection and Blocking Management Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Fraud Detection and Blocking Management Software Historic Market Size by Region (2019-2024)
2.2.3 Fraud Detection and Blocking Management Software Forecasted Market Size by Region (2025-2030)
2.3 Fraud Detection and Blocking Management Software Market Dynamics
2.3.1 Fraud Detection and Blocking Management Software Industry Trends
2.3.2 Fraud Detection and Blocking Management Software Market Drivers
2.3.3 Fraud Detection and Blocking Management Software Market Challenges
2.3.4 Fraud Detection and Blocking Management Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Fraud Detection and Blocking Management Software Players by Revenue
3.1.1 Global Top Fraud Detection and Blocking Management Software Players by Revenue (2019-2024)
3.1.2 Global Fraud Detection and Blocking Management Software Revenue Market Share by Players (2019-2024)
3.2 Global Fraud Detection and Blocking Management Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Fraud Detection and Blocking Management Software Revenue
3.4 Global Fraud Detection and Blocking Management Software Market Concentration Ratio
3.4.1 Global Fraud Detection and Blocking Management Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Fraud Detection and Blocking Management Software Revenue in 2023
3.5 Fraud Detection and Blocking Management Software Key Players Head office and Area Served
3.6 Key Players Fraud Detection and Blocking Management Software Product Solution and Service
3.7 Date of Enter into Fraud Detection and Blocking Management Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Fraud Detection and Blocking Management Software Breakdown Data by Type
4.1 Global Fraud Detection and Blocking Management Software Historic Market Size by Type (2019-2024)
4.2 Global Fraud Detection and Blocking Management Software Forecasted Market Size by Type (2025-2030)
5 Fraud Detection and Blocking Management Software Breakdown Data by Application
5.1 Global Fraud Detection and Blocking Management Software Historic Market Size by Application (2019-2024)
5.2 Global Fraud Detection and Blocking Management Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Fraud Detection and Blocking Management Software Market Size (2019-2030)
6.2 North America Fraud Detection and Blocking Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Fraud Detection and Blocking Management Software Market Size by Country (2019-2024)
6.4 North America Fraud Detection and Blocking Management Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Fraud Detection and Blocking Management Software Market Size (2019-2030)
7.2 Europe Fraud Detection and Blocking Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Fraud Detection and Blocking Management Software Market Size by Country (2019-2024)
7.4 Europe Fraud Detection and Blocking Management Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Fraud Detection and Blocking Management Software Market Size (2019-2030)
8.2 Asia-Pacific Fraud Detection and Blocking Management Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Fraud Detection and Blocking Management Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Fraud Detection and Blocking Management Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Fraud Detection and Blocking Management Software Market Size (2019-2030)
9.2 Latin America Fraud Detection and Blocking Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Fraud Detection and Blocking Management Software Market Size by Country (2019-2024)
9.4 Latin America Fraud Detection and Blocking Management Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Fraud Detection and Blocking Management Software Market Size (2019-2030)
10.2 Middle East & Africa Fraud Detection and Blocking Management Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Fraud Detection and Blocking Management Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Fraud Detection and Blocking Management Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 DataWalk
11.1.1 DataWalk Company Detail
11.1.2 DataWalk Business Overview
11.1.3 DataWalk Fraud Detection and Blocking Management Software Introduction
11.1.4 DataWalk Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.1.5 DataWalk Recent Development
11.2 Razorpay
11.2.1 Razorpay Company Detail
11.2.2 Razorpay Business Overview
11.2.3 Razorpay Fraud Detection and Blocking Management Software Introduction
11.2.4 Razorpay Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.2.5 Razorpay Recent Development
11.3 Fiserv
11.3.1 Fiserv Company Detail
11.3.2 Fiserv Business Overview
11.3.3 Fiserv Fraud Detection and Blocking Management Software Introduction
11.3.4 Fiserv Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.3.5 Fiserv Recent Development
11.4 Sumsub
11.4.1 Sumsub Company Detail
11.4.2 Sumsub Business Overview
11.4.3 Sumsub Fraud Detection and Blocking Management Software Introduction
11.4.4 Sumsub Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.4.5 Sumsub Recent Development
11.5 Riskified
11.5.1 Riskified Company Detail
11.5.2 Riskified Business Overview
11.5.3 Riskified Fraud Detection and Blocking Management Software Introduction
11.5.4 Riskified Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.5.5 Riskified Recent Development
11.6 SAS
11.6.1 SAS Company Detail
11.6.2 SAS Business Overview
11.6.3 SAS Fraud Detection and Blocking Management Software Introduction
11.6.4 SAS Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.6.5 SAS Recent Development
11.7 Softprom
11.7.1 Softprom Company Detail
11.7.2 Softprom Business Overview
11.7.3 Softprom Fraud Detection and Blocking Management Software Introduction
11.7.4 Softprom Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.7.5 Softprom Recent Development
11.8 FRISS
11.8.1 FRISS Company Detail
11.8.2 FRISS Business Overview
11.8.3 FRISS Fraud Detection and Blocking Management Software Introduction
11.8.4 FRISS Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.8.5 FRISS Recent Development
11.9 IBM
11.9.1 IBM Company Detail
11.9.2 IBM Business Overview
11.9.3 IBM Fraud Detection and Blocking Management Software Introduction
11.9.4 IBM Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.9.5 IBM Recent Development
11.10 PayPal
11.10.1 PayPal Company Detail
11.10.2 PayPal Business Overview
11.10.3 PayPal Fraud Detection and Blocking Management Software Introduction
11.10.4 PayPal Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.10.5 PayPal Recent Development
11.11 Visa
11.11.1 Visa Company Detail
11.11.2 Visa Business Overview
11.11.3 Visa Fraud Detection and Blocking Management Software Introduction
11.11.4 Visa Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.11.5 Visa Recent Development
11.12 NetGuardians
11.12.1 NetGuardians Company Detail
11.12.2 NetGuardians Business Overview
11.12.3 NetGuardians Fraud Detection and Blocking Management Software Introduction
11.12.4 NetGuardians Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.12.5 NetGuardians Recent Development
11.13 Kount
11.13.1 Kount Company Detail
11.13.2 Kount Business Overview
11.13.3 Kount Fraud Detection and Blocking Management Software Introduction
11.13.4 Kount Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.13.5 Kount Recent Development
11.14 AltexSoft
11.14.1 AltexSoft Company Detail
11.14.2 AltexSoft Business Overview
11.14.3 AltexSoft Fraud Detection and Blocking Management Software Introduction
11.14.4 AltexSoft Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.14.5 AltexSoft Recent Development
11.15 SEON Technologies
11.15.1 SEON Technologies Company Detail
11.15.2 SEON Technologies Business Overview
11.15.3 SEON Technologies Fraud Detection and Blocking Management Software Introduction
11.15.4 SEON Technologies Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.15.5 SEON Technologies Recent Development
11.16 Covery
11.16.1 Covery Company Detail
11.16.2 Covery Business Overview
11.16.3 Covery Fraud Detection and Blocking Management Software Introduction
11.16.4 Covery Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.16.5 Covery Recent Development
11.17 Mavenir
11.17.1 Mavenir Company Detail
11.17.2 Mavenir Business Overview
11.17.3 Mavenir Fraud Detection and Blocking Management Software Introduction
11.17.4 Mavenir Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.17.5 Mavenir Recent Development
11.18 Forter
11.18.1 Forter Company Detail
11.18.2 Forter Business Overview
11.18.3 Forter Fraud Detection and Blocking Management Software Introduction
11.18.4 Forter Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.18.5 Forter Recent Development
11.19 Stripe
11.19.1 Stripe Company Detail
11.19.2 Stripe Business Overview
11.19.3 Stripe Fraud Detection and Blocking Management Software Introduction
11.19.4 Stripe Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.19.5 Stripe Recent Development
11.20 Bolt
11.20.1 Bolt Company Detail
11.20.2 Bolt Business Overview
11.20.3 Bolt Fraud Detection and Blocking Management Software Introduction
11.20.4 Bolt Revenue in Fraud Detection and Blocking Management Software Business (2019-2024)
11.20.5 Bolt Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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