Fraud Detection And Prevention Market
PUBLISHED: 2025 ID: SMRC32650
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Fraud Detection And Prevention Market

Fraud Detection & Prevention Market Forecasts to 2032 – Global Analysis By Component (Solutions and Services), Deployment Mode, Organization Size, Fraud Type, End User and By Geography

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5.0 (68 reviews)
Published: 2025 ID: SMRC32650

Due to ongoing shifts in global trade and tariffs, the market outlook will be refreshed before delivery, including updated forecasts and quantified impact analysis. Recommendations and Conclusions will also be revised to offer strategic guidance for navigating the evolving international landscape.
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According to Stratistics MRC, the Global Fraud Detection & Prevention Market is accounted for $65.07 billion in 2025 and is expected to reach $280.33 billion by 2032 growing at a CAGR of 23.2% during the forecast period. Fraud Detection & Prevention refers to the systems, processes, and analytical methods used to identify, monitor, and stop fraudulent activities before they cause financial or operational harm. It combines real-time data analysis, behavioral monitoring, machine learning models, and automated alerts to recognize suspicious patterns across transactions, user interactions, and digital environments. By integrating advanced technologies with strong security policies, organizations can proactively reduce risks, safeguard sensitive assets, and maintain compliance while enhancing overall protection against evolving fraud threats.

According to the Federal Trade Commission data, consumers reported losses exceeding USD 10 billion due to fraud in 2023, marking the first instance of such losses reaching this level.

Market Dynamics:

Driver:

Increasing sophistication of fraud

Sophisticated schemes involving synthetic identities, account takeovers, and deepfake-based attacks are intensifying security challenges. Fraudsters are leveraging advanced tools such as automation, AI, and social engineering to bypass traditional controls. As a result, enterprises are accelerating investments in real-time analytics and machine learning–powered detection solutions. The rising financial and reputational risks associated with fraud incidents are further driving market growth. This escalating threat landscape is becoming a major catalyst for adopting modern fraud prevention technologies.

Restraint:

Integration complexity with legacy systems

Legacy systems often lack the flexibility and interoperability needed for seamless integration. This creates long implementation cycles, higher costs, and operational disruptions. Data silos and inconsistent architectures further complicate the integration of AI-driven fraud tools. Companies must invest in modernization or API-based connectors to enable smooth adoption. These integration challenges are slowing down the full-scale deployment of advanced fraud prevention technologies.

Opportunity:

Increased adoption of advanced technologies

The tools enable real-time risk scoring, behavioral analytics, and automated anomaly identification. The integration of cloud computing allows scalable and cost-efficient deployment across industries. Advanced technologies are enabling more accurate detection with fewer false positives. Organizations are increasingly shifting toward predictive and adaptive fraud prevention frameworks. This technological evolution is opening new pathways for innovation and market expansion.

Threat:

Data quality and privacy concerns

Poor data quality increases the chances of false alerts and misclassification. At the same time, growing concerns around personal data privacy are creating compliance challenges. Regulations such as GDPR, CCPA, and other regional data protection laws demand strict safeguards. Companies must balance data utilization with transparency and responsible processing. Failure to maintain high data integrity and privacy protection may erode user trust and hinder adoption.

Covid-19 Impact:

The pandemic triggered a surge in digital transactions, which led to a parallel increase in fraud attempts across industries. Remote work environments created new vulnerabilities, particularly around identity and access management. Many organizations accelerated their adoption of cloud-based fraud detection tools to manage rising risks. COVID-19 also highlighted the importance of real-time monitoring and automation to handle increased transaction volumes. The crisis ultimately reinforced the critical role of advanced fraud detection systems in securing digital ecosystems.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period, due to its comprehensive capabilities in detecting, analyzing, and preventing fraud. These offerings include analytics platforms, authentication tools, and risk scoring engines that support multiple use cases. Organizations prefer solution-based deployments for their scalability and strong integration features. The growing shift toward AI- and cloud-driven fraud tools strengthens this segment’s prominence. Enterprises across BFSI, e-commerce, and telecom rely heavily on fraud detection solutions to safeguard transactions.

The retail & E-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & E-commerce segment is predicted to witness the highest growth rate, due to the rise of online shopping, mobile payments, and digital wallets increases vulnerability. These businesses are adopting real-time fraud detection tools to protect customers and transactions. Advanced analytics and AI systems help identify fraudulent behavior across large transaction volumes. Customer experience and trust are critical success factors for e-commerce players, driving rapid technology adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by its mature digital infrastructure and strong presence of key fraud detection vendors. High levels of online payments and digital banking create substantial demand for robust fraud controls. The region benefits from advanced cybersecurity capabilities and early adoption of emerging technologies. Enterprises in the U.S. and Canada are heavily investing in real-time analytics and AI-based fraud solutions. Strict regulatory frameworks further encourage companies to prioritize fraud prevention.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digital transformation and expanding online commerce. Rising internet penetration and mobile payments are creating new fraud exposure points. Governments across the region are strengthening cybersecurity mandates and digital finance regulations. Businesses are increasingly adopting cloud-based and AI-driven fraud prevention tools to protect their digital environments. The growth of fintech ecosystems in countries like India, China, and Southeast Asia accelerates technology uptake.

Key players in the market

Some of the key players in Fraud Detection & Prevention Market include IBM Corp, BioCatch, SAS Institute, Sift, FICO, Forter, NICE Actim, Equifax, ACI World, Oracle Corp, Fiserv, LexisNexis, FIS Global, TransUnion, and Experian.

Key Developments:

In November 2025, Atruvia AG and IBM have sealed a long-term collaboration that paves the way for sustainable and state-of-the-art IT platforms for the banking of tomorrow. Atruvia will use IBM z17, which was announced earlier this year, as a cornerstone support its mission critical operations including the core banking system. Modernization and hybrid cloud integration is core to Atruvia's strategy to provide leading services and an outstanding experience for its users.

In October 2025, Oracle announced the latest capabilities added to Oracle Database@AWS to better support mission-critical enterprise workloads in the cloud. In addition, customers can now procure Oracle Database@AWS through qualified AWS and Oracle channel partners. This gives customers the flexibility to procure Oracle Database@AWS through their trusted partners and continue to innovate, modernize, and solve complex business problems in the cloud.

Components Covered:
• Solutions
• Services

Deployment Modes Covered:
• On-Premises
• Cloud

Organization Sizes Covered:
• Small & Medium Enterprises (SMEs)
• Large Enterprises

Fraud Types Covered:
• Identity Fraud
• Banking Fraud
• Payment Fraud
• Cyber Fraud
• Insurance Fraud
• Money Laundering
• Account Takeover
• Card-Not-Present (CNP) Fraud
• Intellectual Property Fraud
• Telecommunication Fraud

End Users Covered:
• BFSI
• IT & Telecom
• Retail & E-commerce
• Real Estate
• Healthcare
• Media & Entertainment
• Government & Public Sector
• Transportation & Logistics
• Energy & Utilities
• Manufacturing

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions

3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19

4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Fraud Detection & Prevention Market, By Component
5.1 Introduction
5.2 Solutions
5.2.1 Fraud Analytics
5.2.1.1 Predictive Analytics
5.2.1.2 Customer Analytics
5.2.1.3 Social Media Analytics
5.2.1.4 Big Data Analytics
5.2.2 Authentication
5.2.2.1 Single-Factor Authentication
5.2.2.2 Multi-Factor Authentication
5.2.3 Governance, Risk, and Compliance (GRC)
5.2.4 Fraud Detection Software
5.2.5 Identity & Access Management (IAM)
5.3 Services
5.3.1 Professional Services
5.3.1.1 Consulting
5.3.1.2 Training & Support
5.3.1.3 System Integration
5.3.2 Managed Services

6 Global Fraud Detection & Prevention Market, By Deployment Mode
6.1 Introduction
6.2 On-Premises
6.3 Cloud

7 Global Fraud Detection & Prevention Market, By Organization Size
7.1 Introduction
7.2 Small & Medium Enterprises (SMEs)
7.3 Large Enterprises

8 Global Fraud Detection & Prevention Market, By Fraud Type
8.1 Introduction
8.2 Identity Fraud
8.3 Banking Fraud
8.4 Payment Fraud
8.5 Cyber Fraud
8.6 Insurance Fraud
8.7 Money Laundering
8.8 Account Takeover
8.9 Card-Not-Present (CNP) Fraud
8.10 Intellectual Property Fraud
8.11 Telecommunication Fraud

9 Global Fraud Detection & Prevention Market, By End User
9.1 Introduction
9.2 BFSI
9.3 IT & Telecom
9.4 Retail & E-commerce
9.5 Real Estate
9.6 Healthcare
9.7 Media & Entertainment
9.8 Government & Public Sector
9.9 Transportation & Logistics
9.10 Energy & Utilities
9.11 Manufacturing

10 Global Fraud Detection & Prevention Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa

11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies

12 Company Profiling
12.1 IBM Corporation
12.2 BioCatch
12.3 SAS Institute
12.4 Sift
12.5 FICO
12.6 Forter
12.7 NICE Actimize
12.8 Equifax
12.9 ACI Worldwide
12.10 Oracle Corporation
12.11 Fiserv
12.12 LexisNexis Risk Solutions
12.13 FIS Global
12.14 TransUnion
12.15 Experian

List of Tables
1 Global Fraud Detection & Prevention Market Outlook, By Region (2024-2032) ($MN)
2 Global Fraud Detection & Prevention Market Outlook, By Component (2024-2032) ($MN)
3 Global Fraud Detection & Prevention Market Outlook, By Solutions (2024-2032) ($MN)
4 Global Fraud Detection & Prevention Market Outlook, By Fraud Analytics (2024-2032) ($MN)
5 Global Fraud Detection & Prevention Market Outlook, By Predictive Analytics (2024-2032) ($MN)
6 Global Fraud Detection & Prevention Market Outlook, By Customer Analytics (2024-2032) ($MN)
7 Global Fraud Detection & Prevention Market Outlook, By Social Media Analytics (2024-2032) ($MN)
8 Global Fraud Detection & Prevention Market Outlook, By Big Data Analytics (2024-2032) ($MN)
9 Global Fraud Detection & Prevention Market Outlook, By Authentication (2024-2032) ($MN)
10 Global Fraud Detection & Prevention Market Outlook, By Single-Factor Authentication (2024-2032) ($MN)
11 Global Fraud Detection & Prevention Market Outlook, By Multi-Factor Authentication (2024-2032) ($MN)
12 Global Fraud Detection & Prevention Market Outlook, By Governance, Risk, and Compliance (GRC) (2024-2032) ($MN)
13 Global Fraud Detection & Prevention Market Outlook, By Fraud Detection Software (2024-2032) ($MN)
14 Global Fraud Detection & Prevention Market Outlook, By Identity & Access Management (IAM) (2024-2032) ($MN)
15 Global Fraud Detection & Prevention Market Outlook, By Services (2024-2032) ($MN)
16 Global Fraud Detection & Prevention Market Outlook, By Professional Services (2024-2032) ($MN)
17 Global Fraud Detection & Prevention Market Outlook, By Consulting (2024-2032) ($MN)
18 Global Fraud Detection & Prevention Market Outlook, By Training & Support (2024-2032) ($MN)
19 Global Fraud Detection & Prevention Market Outlook, By System Integration (2024-2032) ($MN)
20 Global Fraud Detection & Prevention Market Outlook, By Managed Services (2024-2032) ($MN)
21 Global Fraud Detection & Prevention Market Outlook, By Deployment Mode (2024-2032) ($MN)
22 Global Fraud Detection & Prevention Market Outlook, By On-Premises (2024-2032) ($MN)
23 Global Fraud Detection & Prevention Market Outlook, By Cloud (2024-2032) ($MN)
24 Global Fraud Detection & Prevention Market Outlook, By Organization Size (2024-2032) ($MN)
25 Global Fraud Detection & Prevention Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
26 Global Fraud Detection & Prevention Market Outlook, By Large Enterprises (2024-2032) ($MN)
27 Global Fraud Detection & Prevention Market Outlook, By Fraud Type (2024-2032) ($MN)
28 Global Fraud Detection & Prevention Market Outlook, By Identity Fraud (2024-2032) ($MN)
29 Global Fraud Detection & Prevention Market Outlook, By Banking Fraud (2024-2032) ($MN)
30 Global Fraud Detection & Prevention Market Outlook, By Payment Fraud (2024-2032) ($MN)
31 Global Fraud Detection & Prevention Market Outlook, By Cyber Fraud (2024-2032) ($MN)
32 Global Fraud Detection & Prevention Market Outlook, By Insurance Fraud (2024-2032) ($MN)
33 Global Fraud Detection & Prevention Market Outlook, By Money Laundering (2024-2032) ($MN)
34 Global Fraud Detection & Prevention Market Outlook, By Account Takeover (2024-2032) ($MN)
35 Global Fraud Detection & Prevention Market Outlook, By Card-Not-Present (CNP) Fraud (2024-2032) ($MN)
36 Global Fraud Detection & Prevention Market Outlook, By Intellectual Property Fraud (2024-2032) ($MN)
37 Global Fraud Detection & Prevention Market Outlook, By Telecommunication Fraud (2024-2032) ($MN)
38 Global Fraud Detection & Prevention Market Outlook, By End User (2024-2032) ($MN)
39 Global Fraud Detection & Prevention Market Outlook, By BFSI (2024-2032) ($MN)
40 Global Fraud Detection & Prevention Market Outlook, By IT & Telecom (2024-2032) ($MN)
41 Global Fraud Detection & Prevention Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
42 Global Fraud Detection & Prevention Market Outlook, By Real Estate (2024-2032) ($MN)
43 Global Fraud Detection & Prevention Market Outlook, By Healthcare (2024-2032) ($MN)
44 Global Fraud Detection & Prevention Market Outlook, By Media & Entertainment (2024-2032) ($MN)
45 Global Fraud Detection & Prevention Market Outlook, By Government & Public Sector (2024-2032) ($MN)
46 Global Fraud Detection & Prevention Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
47 Global Fraud Detection & Prevention Market Outlook, By Energy & Utilities (2024-2032) ($MN)
48 Global Fraud Detection & Prevention Market Outlook, By Manufacturing (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
 

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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