E-Commerce Fraud Detection Solutions Market 2022-2029: Nice Actimize, Gemalto, ID Analytics, BAE Systems, NoFraud, Radial, Illumio, OnFido, ACI ReD Shield

[Gauri Deshpande]

The E-Commerce Fraud Detection Solutions market has witnessed growth from USD XX million to USD XX million from 2017 to 2022. With the CAGR of X.X%, this market is estimated to reach USD XX million in 2029.


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This E-Commerce Fraud Detection Solutions Market research report aims to provide market knowledge and strategic insights to assist in decision making, making informed investment decisions, and identifying potential growth opportunities. The report also indicates a narrowed decisive summary of the market. Along with this, multiple factors which have affected the advancement and improvement in a positive and negative manner are also studied in the report.

The report focuses on the E-Commerce Fraud Detection Solutions market size, segment size (mainly covering product type, application, and geography), competitor landscape, recent status, and development trends. Furthermore, the report provides detailed cost analysis, supply chain.

Technological innovation and advancement will further optimize the performance of the product, making it more widely used in downstream applications. Moreover, Consumer behavior analysis and market dynamics (drivers, restraints, opportunities) provides crucial information for knowing the E-Commerce Fraud Detection Solutions market.

Key players in the global E-Commerce Fraud Detection Solutions market covered in Chapter 2 and Chapter 6:
Nice Actimize
Gemalto
ID Analytics
BAE Systems
NoFraud
Radial
Illumio
OnFido
ACI ReD Shield
Featurespace
Brighterion (Mastercard)
SAS
ThreatMetrix (LexisNexis Risk Solutions)
PayFone
Datavisor
Riskified
Authenteq
Signifyd
Ethoca (Mastercard)
LexisNexis
Verifi (Visa)
Mitek
Idology
Simility (PayPal)
Stripe Radar
BioCatch
Bottomline Technologies
Jumio
NeuStar
Feedzai
Cybersource (Visa)
Cyxtera (Easy Solutions)
Forter
Socure
PayPal Order Filters
FraudLabs
Bolt
RSA
Ravelin
CA Risk Analytics Network
Distilled Identity
Guardian Analytics
Kount
Experian
Shape Security (F5)
InAuth (Amex)
Accertify (Amex)
Plus Technologies & Innovations
Demisto
Sift (Sift Science)
Trulioo
Nuance
FICO
NuData (Mastercard)

In Chapter 8 and Chapter 10.3, based on types, the E-Commerce Fraud Detection Solutions market from 2017 to 2029 is primarily split into:
Fraud Analytics
Authentication
GRC

In Chapter 9 and Chapter 10.4, based on applications, the E-Commerce Fraud Detection Solutions market from 2017 to 2029 covers:
BFSI
Retail and eCommerce
Travel and Transportation

Geographically, the report includes the research on production, consumption, revenue, market share and growth rate, and forecast (2017 -2029) of the following regions:
United States
Europe (Germany, UK, France, Italy, Spain, Russia, Poland)
China
Japan
India
Southeast Asia (Malaysia, Singapore, Philippines, Indonesia, Thailand, Vietnam)
Latin America (Brazil, Mexico, Colombia)
Middle East and Africa (Saudi Arabia, United Arab Emirates, Turkey, Egypt, South Africa, Nigeria)
Other Regions

Chapter 1 provides an overview of E-Commerce Fraud Detection Solutions market, containing global revenue and CAGR. The forecast and analysis of E-Commerce Fraud Detection Solutions market by type, application, and region are also presented in this chapter.

Chapter 2 is about the market landscape and major players. It provides competitive situation and market concentration status along with the basic information of these players.

Chapter 3 introduces the industrial chain of E-Commerce Fraud Detection Solutions. Industrial chain analysis, raw material (suppliers, price, supply and demand, market concentration rate) and downstream buyers are analyzed in this chapter.

Chapter 4 concentrates on manufacturing analysis, including cost structure analysis and process analysis, making up a comprehensive analysis of manufacturing cost.

Chapter 5 provides clear insights into market dynamics, the influence of COVID-19 in E-Commerce Fraud Detection Solutions industry, consumer behavior analysis.

Chapter 6 provides a full-scale analysis of major players in E-Commerce Fraud Detection Solutions industry. The basic information, as well as the profiles, applications and specifications of products market performance along with Business Overview are offered.

Chapter 7 pays attention to the sales, revenue, price and gross margin of E-Commerce Fraud Detection Solutions in markets of different regions. The analysis on sales, revenue, price and gross margin of the global market is covered in this part.

Chapter 8 gives a worldwide view of E-Commerce Fraud Detection Solutions market. It includes sales, revenue, price, market share and the growth rate by type.

Chapter 9 focuses on the application of E-Commerce Fraud Detection Solutions, by analyzing the consumption and its growth rate of each application.

Chapter 10 prospects the whole E-Commerce Fraud Detection Solutions market, including the global sales and revenue forecast, regional forecast. It also foresees the E-Commerce Fraud Detection Solutions market by type and application.

Years considered for this report:

Historical Years: 2017-2021
Base Year: 2021
Estimated Year: 2022
Forecast Period: 2022-2029