According to the research report, the global market for AI-Based Fraud Detection Tools should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029.

By country, China accounted for percent of the global market last year and China’s market share increased from percent to percent. China AI-Based Fraud Detection Tools market should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029. The United States AI-Based Fraud Detection Tools market should grow from US$ million in 2022 to US$ million by 2029, with a CAGR of % for the period of 2023-2029.

By segment, Large Corporation grew percent to account for percent of the total market sales, and SMEs grew percent.

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 studies and analyses global AI-Based Fraud Detection Tools status and future trends, to help determine the AI-Based Fraud Detection Tools market size of the total market opportunity by Type, by Application, by company, and by region & country. This report is a detailed and comprehensive analysis of the world market for AI-Based Fraud Detection Tools, and provides market size (US$ million) and Year-over-Year growth, considering 2022 as the base year.

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.

To assess the competitive environment within the market including supplier revenue, market share, and company profiles.

Highlights

(1) Global AI-Based Fraud Detection Tools market size, history data 2018-2023, and forecast data 2024-2029, (US$ million)

(2) Global AI-Based Fraud Detection Tools by company, revenue, market share and industry ranking 2018-2023, (US$ million)

(3) China AI-Based Fraud Detection Tools by company, revenue, market share and industry ranking 2018-2023, (US$ million)

(4) Global AI-Based Fraud Detection Tools key consuming regions, consumption value and demand structure

(5) AI-Based Fraud Detection Tools industry chains, upstream, midstream and downstream

Market segment by players, this report covers

IBM

Microsoft

Accertify

SEON

Kount

Alessa

Veridas

Riskified

ClearSale

AdvaRisk

Sift

Signifyd

Emailage

ArkOwl

Mastercard(Ekata)

TruValidate

ThreatMetrix

Cyber​​source

FraudHunt

OneSpan

Ethoca

Visa

RSA Security

Market segment by Type, covers

Cloud Based

On-Premise

Market segment by Application, can be divided into

Large Corporation

SMEs

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, Australia, and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa

Report Includes:

Chapter 1: to describe AI-Based Fraud Detection Tools product scope, global consumption value, China consumption value, development opportunities, challenges, trends, and policies.

Chapter 2: Global AI-Based Fraud Detection Tools market share and ranking of major manufacturers, revenue, 2018-2023

Chapter 3: China AI-Based Fraud Detection Tools market share and ranking of major manufacturers, revenue, 2018-2023

Chapter 4: AI-Based Fraud Detection Tools industry chain, upstream, medium-stream, and downstream.

Chapter 5: Segment by Type, consumption value, percent & CAGR, 2018-2029

Chapter 6: Segment by Application, consumption value, percent & CAGR, 2018-2029

Chapter 7: Segment in regional level, consumption value, percent & CAGR, 2018-2029

Chapter 8: Segment in country level, consumption value, percent & CAGR, 2018-2029

Chapter 9: Company profile, introducing the basic situation of the main companies in the market in detail, including product specifications, application, recent development, revenue, gross margin.

Chapter 10: Conclusions

1 Market Overview

1.1 AI-Based Fraud Detection Tools Definition

1.2 Global AI-Based Fraud Detection Tools Market Size and Forecast

1.3 China AI-Based Fraud Detection Tools Market Size and Forecast

1.4 China Percentage in Global Market

1.5 AI-Based Fraud Detection Tools Market Size: China VS Global Growth Rate, 2018-2029

1.6 AI-Based Fraud Detection Tools Market Dynamics

1.6.1 AI-Based Fraud Detection Tools Market Drivers

1.6.2 AI-Based Fraud Detection Tools Market Restraints

1.6.3 AI-Based Fraud Detection Tools Industry Trends

1.6.4 AI-Based Fraud Detection Tools Industry Policy

2 Global Leading Players and Market Share

2.1 By Revenue of AI-Based Fraud Detection Tools, Global Market Share by Company, 2018-2023

2.2 Global AI-Based Fraud Detection Tools Participants, Market Position (Tier 1, Tier 2, and Tier 3)

2.3 Global AI-Based Fraud Detection Tools Concentration Ratio

2.4 Global AI-Based Fraud Detection Tools Mergers & Acquisitions, Expansion Plans

2.5 Global AI-Based Fraud Detection Tools Major Companies Product Type

2.6 Head Office and AI-Based Fraud Detection Tools Production Site of Key Manufacturer

3 China Leading Players, Market Share and Ranking

3.1 By Revenue of AI-Based Fraud Detection Tools, China Market Share by Company, 2018-2023

3.2 China AI-Based Fraud Detection Tools Participants, Market Position (Tier 1, Tier 2, and Tier 3)

4 Industry Chain Analysis

4.1 AI-Based Fraud Detection Tools Industry Chain

4.2 AI-Based Fraud Detection Tools Upstream Analysis

4.2.1 AI-Based Fraud Detection Tools Core Raw Materials

4.2.2 Main Manufacturers of AI-Based Fraud Detection Tools Core Raw Materials

4.3 Midstream Analysis

4.4 Downstream Analysis

4.5 AI-Based Fraud Detection Tools Production Mode

4.6 AI-Based Fraud Detection Tools Procurement Model

4.7 AI-Based Fraud Detection Tools Industry Sales Model and Sales Channels

4.7.1 AI-Based Fraud Detection Tools Sales Model

4.7.2 AI-Based Fraud Detection Tools Typical Distributors

5 Sights by Type

5.1 AI-Based Fraud Detection Tools Classification

5.1.1 Cloud Based

5.1.2 On-Premise

5.2 By Type, Global AI-Based Fraud Detection Tools Consumption Value & CAGR, 2018 VS 2022 VS 2029

5.3 By Type, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029

6 Sights by Application

6.1 AI-Based Fraud Detection Tools Segment by Application

6.1.1 Large Corporation

6.1.2 SMEs

6.2 By Application, Global AI-Based Fraud Detection Tools Consumption Value & CAGR, 2018 VS 2022 VS 2029

6.3 By Application, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029

7 Sales Sights by Region

7.1 By Region, Global AI-Based Fraud Detection Tools Consumption Value, 2018 VS 2022 VS 2029

7.2 By Region, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029

7.3 North America

7.3.1 North America AI-Based Fraud Detection Tools & Forecasts, 2018-2029

7.3.2 By Country, North America AI-Based Fraud Detection Tools Market Size Market Share

7.4 Europe

7.4.1 Europe AI-Based Fraud Detection Tools Market Size & Forecasts, 2018-2029

7.4.2 By Country, Europe AI-Based Fraud Detection Tools Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific AI-Based Fraud Detection Tools Market Size & Forecasts, 2018-2029

7.5.2 By Country/Region, Asia Pacific AI-Based Fraud Detection Tools Market Size Market Share

7.6 South America

7.6.1 South America AI-Based Fraud Detection Tools Market Size & Forecasts, 2018-2029

7.6.2 By Country, South America AI-Based Fraud Detection Tools Market Size Market Share

7.7 Middle East & Africa

8 Sales Sights by Country Level

8.1 By Country, Global AI-Based Fraud Detection Tools Market Size & CAGR, 2018 VS 2022 VS 2029

8.2 By Country, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029

8.3 U.S.

8.3.1 U.S. AI-Based Fraud Detection Tools Market Size, 2018-2029

8.3.2 By Type, U.S. AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.3.3 By Application, U.S. AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.4 Europe

8.4.1 Europe AI-Based Fraud Detection Tools Market Size, 2018-2029

8.4.2 By Type, Europe AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.4.3 By Application, Europe AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.5 China

8.5.1 China AI-Based Fraud Detection Tools Market Size, 2018-2029

8.5.2 By Type, China AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.5.3 By Application, China AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.6 Japan

8.6.1 Japan AI-Based Fraud Detection Tools Market Size, 2018-2029

8.6.2 By Type, Japan AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.6.3 By Application, Japan AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.7 South Korea

8.7.1 South Korea AI-Based Fraud Detection Tools Market Size, 2018-2029

8.7.2 By Type, South Korea AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.7.3 By Application, South Korea AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.8 Southeast Asia

8.8.1 Southeast Asia AI-Based Fraud Detection Tools Market Size, 2018-2029

8.8.2 By Type, Southeast Asia AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.8.3 By Application, Southeast Asia AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.9 India

8.9.1 India AI-Based Fraud Detection Tools Market Size, 2018-2029

8.9.2 By Type, India AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.9.3 By Application, India AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.10 Middle East & Africa

8.10.1 Middle East & Africa AI-Based Fraud Detection Tools Market Size, 2018-2029

8.10.2 By Type, Middle East & Africa AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

8.10.3 By Application, Middle East & Africa AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

9 Company Profile

9.1 IBM

9.1.1 IBM Company Information, Head Office, Market Area and Industry Position

9.1.2 IBM Company Profile and Main Business

9.1.3 IBM AI-Based Fraud Detection Tools Models, Specifications and Application

9.1.4 IBM AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.1.5 IBM Recent Developments

9.2 Microsoft

9.2.1 Microsoft Company Information, Head Office, Market Area and Industry Position

9.2.2 Microsoft Company Profile and Main Business

9.2.3 Microsoft AI-Based Fraud Detection Tools Models, Specifications and Application

9.2.4 Microsoft AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.2.5 Microsoft Recent Developments

9.3 Accertify

9.3.1 Accertify Company Information, Head Office, Market Area and Industry Position

9.3.2 Accertify Company Profile and Main Business

9.3.3 Accertify AI-Based Fraud Detection Tools Models, Specifications and Application

9.3.4 Accertify AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.3.5 Accertify Recent Developments

9.4 SEON

9.4.1 SEON Company Information, Head Office, Market Area and Industry Position

9.4.2 SEON Company Profile and Main Business

9.4.3 SEON AI-Based Fraud Detection Tools Models, Specifications and Application

9.4.4 SEON AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.4.5 SEON Recent Developments

9.5 Kount

9.5.1 Kount Company Information, Head Office, Market Area and Industry Position

9.5.2 Kount Company Profile and Main Business

9.5.3 Kount AI-Based Fraud Detection Tools Models, Specifications and Application

9.5.4 Kount AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.5.5 Kount Recent Developments

9.6 Alessa

9.6.1 Alessa Company Information, Head Office, Market Area and Industry Position

9.6.2 Alessa Company Profile and Main Business

9.6.3 Alessa AI-Based Fraud Detection Tools Models, Specifications and Application

9.6.4 Alessa AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.6.5 Alessa Recent Developments

9.7 Veridas

9.7.1 Veridas Company Information, Head Office, Market Area and Industry Position

9.7.2 Veridas Company Profile and Main Business

9.7.3 Veridas AI-Based Fraud Detection Tools Models, Specifications and Application

9.7.4 Veridas AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.7.5 Veridas Recent Developments

9.8 Riskified

9.8.1 Riskified Company Information, Head Office, Market Area and Industry Position

9.8.2 Riskified Company Profile and Main Business

9.8.3 Riskified AI-Based Fraud Detection Tools Models, Specifications and Application

9.8.4 Riskified AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.8.5 Riskified Recent Developments

9.9 ClearSale

9.9.1 ClearSale Company Information, Head Office, Market Area and Industry Position

9.9.2 ClearSale Company Profile and Main Business

9.9.3 ClearSale AI-Based Fraud Detection Tools Models, Specifications and Application

9.9.4 ClearSale AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.9.5 ClearSale Recent Developments

9.10 AdvaRisk

9.10.1 AdvaRisk Company Information, Head Office, Market Area and Industry Position

9.10.2 AdvaRisk Company Profile and Main Business

9.10.3 AdvaRisk AI-Based Fraud Detection Tools Models, Specifications and Application

9.10.4 AdvaRisk AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.10.5 AdvaRisk Recent Developments

9.11 Sift

9.11.1 Sift Company Information, Head Office, Market Area and Industry Position

9.11.2 Sift Company Profile and Main Business

9.11.3 Sift AI-Based Fraud Detection Tools Models, Specifications and Application

9.11.4 Sift AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.11.5 Sift Recent Developments

9.12 Signifyd

9.12.1 Signifyd Company Information, Head Office, Market Area and Industry Position

9.12.2 Signifyd Company Profile and Main Business

9.12.3 Signifyd AI-Based Fraud Detection Tools Models, Specifications and Application

9.12.4 Signifyd AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.12.5 Signifyd Recent Developments

9.13 Emailage

9.13.1 Emailage Company Information, Head Office, Market Area and Industry Position

9.13.2 Emailage Company Profile and Main Business

9.13.3 Emailage AI-Based Fraud Detection Tools Models, Specifications and Application

9.13.4 Emailage AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.13.5 Emailage Recent Developments

9.14 ArkOwl

9.14.1 ArkOwl Company Information, Head Office, Market Area and Industry Position

9.14.2 ArkOwl Company Profile and Main Business

9.14.3 ArkOwl AI-Based Fraud Detection Tools Models, Specifications and Application

9.14.4 ArkOwl AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.14.5 ArkOwl Recent Developments

9.15 Mastercard(Ekata)

9.15.1 Mastercard(Ekata) Company Information, Head Office, Market Area and Industry Position

9.15.2 Mastercard(Ekata) Company Profile and Main Business

9.15.3 Mastercard(Ekata) AI-Based Fraud Detection Tools Models, Specifications and Application

9.15.4 Mastercard(Ekata) AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.15.5 Mastercard(Ekata) Recent Developments

9.16 TruValidate

9.16.1 TruValidate Company Information, Head Office, Market Area and Industry Position

9.16.2 TruValidate Company Profile and Main Business

9.16.3 TruValidate AI-Based Fraud Detection Tools Models, Specifications and Application

9.16.4 TruValidate AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.16.5 TruValidate Recent Developments

9.17 ThreatMetrix

9.17.1 ThreatMetrix Company Information, Head Office, Market Area and Industry Position

9.17.2 ThreatMetrix Company Profile and Main Business

9.17.3 ThreatMetrix AI-Based Fraud Detection Tools Models, Specifications and Application

9.17.4 ThreatMetrix AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.17.5 ThreatMetrix Recent Developments

9.18 Cyber​​source

9.18.1 Cyber​​source Company Information, Head Office, Market Area and Industry Position

9.18.2 Cyber​​source Company Profile and Main Business

9.18.3 Cyber​​source AI-Based Fraud Detection Tools Models, Specifications and Application

9.18.4 Cyber​​source AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.18.5 Cyber​​source Recent Developments

9.19 FraudHunt

9.19.1 FraudHunt Company Information, Head Office, Market Area and Industry Position

9.19.2 FraudHunt Company Profile and Main Business

9.19.3 FraudHunt AI-Based Fraud Detection Tools Models, Specifications and Application

9.19.4 FraudHunt AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.19.5 FraudHunt Recent Developments

9.20 OneSpan

9.20.1 OneSpan Company Information, Head Office, Market Area and Industry Position

9.20.2 OneSpan Company Profile and Main Business

9.20.3 OneSpan AI-Based Fraud Detection Tools Models, Specifications and Application

9.20.4 OneSpan AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.20.5 OneSpan Recent Developments

9.21 Ethoca

9.21.1 Ethoca Company Information, Head Office, Market Area and Industry Position

9.21.2 Ethoca Company Profile and Main Business

9.21.3 Ethoca AI-Based Fraud Detection Tools Models, Specifications and Application

9.21.4 Ethoca AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.21.5 Ethoca Recent Developments

9.22 Visa

9.22.1 Visa Company Information, Head Office, Market Area and Industry Position

9.22.2 Visa Company Profile and Main Business

9.22.3 Visa AI-Based Fraud Detection Tools Models, Specifications and Application

9.22.4 Visa AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.22.5 Visa Recent Developments

9.23 RSA Security

9.23.1 RSA Security Company Information, Head Office, Market Area and Industry Position

9.23.2 RSA Security Company Profile and Main Business

9.23.3 RSA Security AI-Based Fraud Detection Tools Models, Specifications and Application

9.23.4 RSA Security AI-Based Fraud Detection Tools Revenue and Gross Margin, 2018-2023

9.23.5 RSA Security Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Table 1. AI-Based Fraud Detection Tools Consumption Value & CAGR: China VS Global, 2018-2029, US$ Million

Table 2. AI-Based Fraud Detection Tools Market Restraints

Table 3. AI-Based Fraud Detection Tools Market Trends

Table 4. AI-Based Fraud Detection Tools Industry Policy

Table 5. Global AI-Based Fraud Detection Tools Revenue by Company, 2018-2023, US$ million, Ranked Based on Revenue in 2022

Table 6. Global AI-Based Fraud Detection Tools Revenue Share by Company, 2018-2023, Ranked by Data of 2022

Table 7. Global AI-Based Fraud Detection Tools Manufacturers Market Concentration Ratio (CR3 and HHI)

Table 8. Global AI-Based Fraud Detection Tools Mergers & Acquisitions, Expansion Plans

Table 9. Global AI-Based Fraud Detection Tools Major Companies Product Type

Table 10. Head Office and Area Served of Key Players

Table 11. China AI-Based Fraud Detection Tools Revenue by Company, 2018-2023, US$ million, Ranked Based on Revenue in 2022

Table 12. China AI-Based Fraud Detection Tools Revenue Market Share by Company, 2018-2023

Table 13. Global Key Players of AI-Based Fraud Detection Tools Upstream (Raw Materials)

Table 14. Global AI-Based Fraud Detection Tools Typical Customers

Table 15. AI-Based Fraud Detection Tools Typical Distributors

Table 16. By Type, Global AI-Based Fraud Detection Tools Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 17. By Application, Global AI-Based Fraud Detection Tools Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 18. By Region, Global AI-Based Fraud Detection Tools Consumption Value, 2018 VS 2022 VS 2029, US$ Million

Table 19. By Region, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Table 20. By Country, Global AI-Based Fraud Detection Tools Consumption Value & CAGR, 2018 VS 2022 VS 2029, US$ Million

Table 21. By Country, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Table 22. By Country, Global AI-Based Fraud Detection Tools Consumption Value Market Share, 2018-2029

Table 23. IBM Company Information, Head Office, Market Area and Industry Position

Table 24. IBM Company Profile and Main Business

Table 25. IBM AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 26. IBM AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 27. IBM Recent Developments

Table 28. Microsoft Company Information, Head Office, Market Area and Industry Position

Table 29. Microsoft Company Profile and Main Business

Table 30. Microsoft AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 31. Microsoft AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 32. Microsoft Recent Developments

Table 33. Accertify Company Information, Head Office, Market Area and Industry Position

Table 34. Accertify Company Profile and Main Business

Table 35. Accertify AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 36. Accertify AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 37. Accertify Recent Developments

Table 38. SEON Company Information, Head Office, Market Area and Industry Position

Table 39. SEON Company Profile and Main Business

Table 40. SEON AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 41. SEON AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 42. SEON Recent Developments

Table 43. Kount Company Information, Head Office, Market Area and Industry Position

Table 44. Kount Company Profile and Main Business

Table 45. Kount AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 46. Kount AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 47. Kount Recent Developments

Table 48. Alessa Company Information, Head Office, Market Area and Industry Position

Table 49. Alessa Company Profile and Main Business

Table 50. Alessa AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 51. Alessa AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 52. Alessa Recent Developments

Table 53. Veridas Company Information, Head Office, Market Area and Industry Position

Table 54. Veridas Company Profile and Main Business

Table 55. Veridas AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 56. Veridas AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 57. Veridas Recent Developments

Table 58. Riskified Company Information, Head Office, Market Area and Industry Position

Table 59. Riskified Company Profile and Main Business

Table 60. Riskified AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 61. Riskified AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 62. Riskified Recent Developments

Table 63. ClearSale Company Information, Head Office, Market Area and Industry Position

Table 64. ClearSale Company Profile and Main Business

Table 65. ClearSale AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 66. ClearSale AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 67. ClearSale Recent Developments

Table 68. AdvaRisk Company Information, Head Office, Market Area and Industry Position

Table 69. AdvaRisk Company Profile and Main Business

Table 70. AdvaRisk AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 71. AdvaRisk AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 72. AdvaRisk Recent Developments

Table 73. Sift Company Information, Head Office, Market Area and Industry Position

Table 74. Sift Company Profile and Main Business

Table 75. Sift AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 76. Sift AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 77. Sift Recent Developments

Table 78. Signifyd Company Information, Head Office, Market Area and Industry Position

Table 79. Signifyd Company Profile and Main Business

Table 80. Signifyd AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 81. Signifyd AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 82. Signifyd Recent Developments

Table 83. Emailage Company Information, Head Office, Market Area and Industry Position

Table 84. Emailage Company Profile and Main Business

Table 85. Emailage AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 86. Emailage AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 87. Emailage Recent Developments

Table 88. ArkOwl Company Information, Head Office, Market Area and Industry Position

Table 89. ArkOwl Company Profile and Main Business

Table 90. ArkOwl AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 91. ArkOwl AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 92. ArkOwl Recent Developments

Table 93. Mastercard(Ekata) Company Information, Head Office, Market Area and Industry Position

Table 94. Mastercard(Ekata) Company Profile and Main Business

Table 95. Mastercard(Ekata) AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 96. Mastercard(Ekata) AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 97. Mastercard(Ekata) Recent Developments

Table 98. TruValidate Company Information, Head Office, Market Area and Industry Position

Table 99. TruValidate Company Profile and Main Business

Table 100. TruValidate AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 101. TruValidate AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 102. TruValidate Recent Developments

Table 103. ThreatMetrix Company Information, Head Office, Market Area and Industry Position

Table 104. ThreatMetrix Company Profile and Main Business

Table 105. ThreatMetrix AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 106. ThreatMetrix AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 107. ThreatMetrix Recent Developments

Table 108. Cyber​​source Company Information, Head Office, Market Area and Industry Position

Table 109. Cyber​​source Company Profile and Main Business

Table 110. Cyber​​source AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 111. Cyber​​source AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 112. Cyber​​source Recent Developments

Table 113. FraudHunt Company Information, Head Office, Market Area and Industry Position

Table 114. FraudHunt Company Profile and Main Business

Table 115. FraudHunt AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 116. FraudHunt AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 117. FraudHunt Recent Developments

Table 118. OneSpan Company Information, Head Office, Market Area and Industry Position

Table 119. OneSpan Company Profile and Main Business

Table 120. OneSpan AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 121. OneSpan AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 122. OneSpan Recent Developments

Table 123. Ethoca AI-Based Fraud Detection Tools Company Information, Head Office, Market Area and Industry Position

Table 124. Ethoca Company Profile and Main Business

Table 125. Ethoca AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 126. Ethoca AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 127. Ethoca Recent Developments

Table 128. Visa Company Information, Head Office, Market Area and Industry Position

Table 129. Visa Company Profile and Main Business

Table 130. Visa AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 131. Visa AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 132. Visa Recent Developments

Table 133. RSA Security Company Information, Head Office, Market Area and Industry Position

Table 134. RSA Security Company Profile and Main Business

Table 135. RSA Security AI-Based Fraud Detection Tools Models, Specifications, and Application

Table 136. RSA Security AI-Based Fraud Detection Tools Revenue and Gross Margin, US$ Million, 2018-2023

Table 137. RSA Security Recent Developments

List of Figures

Figure 1. AI-Based Fraud Detection Tools Picture

Figure 2. Global AI-Based Fraud Detection Tools Consumption Value, (US$ million) & (2018-2029)

Figure 3. China AI-Based Fraud Detection Tools Consumption Value, (US$ million) & (2018-2029)

Figure 4. By Consumption Value, China AI-Based Fraud Detection Tools Market Share of Global, 2018-2029

Figure 5. Global AI-Based Fraud Detection Tools Market Share by Company, (Tier 1, Tier 2, and Tier 3), 2022

Figure 6. China AI-Based Fraud Detection Tools Key Participants, Market Share, 2022

Figure 7. AI-Based Fraud Detection Tools Industry Chain

Figure 8. AI-Based Fraud Detection Tools Procurement Model

Figure 9. AI-Based Fraud Detection Tools Sales Model

Figure 10. AI-Based Fraud Detection Tools Sales Channels, Direct Sales, and Distribution

Figure 11. Cloud Based

Figure 12. On-Premise

Figure 13. By Type, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 14. By Type, Global AI-Based Fraud Detection Tools Consumption Value Market Share, 2018-2029

Figure 15. Large Corporation

Figure 16. SMEs

Figure 17. By Application, Global AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 18. By Application, Global AI-Based Fraud Detection Tools Consumption Value Market Share, 2018-2029

Figure 19. By Region, Global AI-Based Fraud Detection Tools Consumption Value Market Share, 2018-2029

Figure 20. North America AI-Based Fraud Detection Tools Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 21. By Country, North America AI-Based Fraud Detection Tools Consumption Value Market Share, 2022

Figure 22. Europe AI-Based Fraud Detection Tools Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 23. By Country, Europe AI-Based Fraud Detection Tools Consumption Value Market Share, 2022

Figure 24. Asia Pacific AI-Based Fraud Detection Tools Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 25. By Country/Region, Asia Pacific AI-Based Fraud Detection Tools Consumption Value Market Share, 2022

Figure 26. South America AI-Based Fraud Detection Tools Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 27. By Country, South America AI-Based Fraud Detection Tools Consumption Value Market Share, 2022

Figure 28. Middle East & Africa AI-Based Fraud Detection Tools Consumption Value & Forecasts, 2018-2029, US$ Million

Figure 29. U.S. AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 30. By Type, U.S. AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 31. By Application, U.S. AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 32. Europe AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 33. By Type, Europe AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 34. By Application, Europe AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 35. China AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 36. By Type, China AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 37. By Application, China AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 38. Japan AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 39. By Type, Japan AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 40. By Application, Japan AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 41. South Korea AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 42. By Type, South Korea AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 43. By Application, South Korea AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 44. Southeast Asia AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 45. By Type, Southeast Asia AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 46. By Application, Southeast Asia AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 47. India AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 48. By Type, India AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 49. By Application, India AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 50. Middle East & Africa AI-Based Fraud Detection Tools Consumption Value, 2018-2029, US$ Million

Figure 51. By Type, Middle East & Africa AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 52. By Application, Middle East & Africa AI-Based Fraud Detection Tools Consumption Value Market Share, 2022 VS 2029

Figure 53. Research Methodology

Figure 54. Breakdown of Primary Interviews

Figure 55. Bottom-up and Top-down Approaches

Figure 56. Top-down Approaches

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)