부정 탐지 및 방지 시장 : 규모, 점유율, 성장률, 업계 분석, 유형별, 용도별, 지역별 인사이트, 예측(2026-2034년)

Growth Factors of Fraud Detection and Prevention (FDP) Market

The global Fraud Detection and Prevention (FDP) market was valued at USD 54.61 billion in 2025 and is projected to grow from USD 67.12 billion in 2026 to USD 243.72 billion by 2034, exhibiting a strong CAGR of 17.50% during the forecast period. North America dominated the global market with a 42.00% share in 2025, driven by rising digital payment adoption and increasing cybercrime cases.

The growing investment by enterprises across industries such as BFSI, healthcare, manufacturing, retail, and government sectors is accelerating market growth. Countries including the U.S., India, Brazil, China, Germany, and the U.K. are actively deploying advanced fraud analytics and authentication solutions to combat rising digital fraud incidents. Although demand declined slightly in the first half of 2020 due to COVID-19 disruptions, adoption increased significantly in the latter half owing to the surge in cyberattacks, payment frauds, and insurance fraud cases.

Market Trends

Rising Adoption of Cloud-Based Fraud Detection Solutions

Cloud technology has emerged as a major trend transforming fraud prevention strategies. Cloud-based solutions offer scalability, real-time monitoring, high processing power, and rapid detection of cyber threats. Small and medium-sized enterprises (SMEs), particularly in banking and financial services, are increasingly adopting cloud-based fraud prevention systems to enhance security without heavy infrastructure investments.

Integration of artificial intelligence (AI), machine learning (ML), predictive analytics, Big Data, blockchain, and IoT further enhances fraud detection accuracy. Real-time fraud prevention systems are gaining popularity as they enable organizations to identify suspicious activities instantly and reduce financial losses.

Market Growth Drivers

Increasing Online Applications and Mobile Banking Services

The rapid expansion of online applications, mobile banking, and digital payment platforms has significantly increased fraud risks. Fake websites and fraudulent mobile applications targeting retail, e-commerce, and banking customers are becoming more sophisticated.

According to industry insights, nearly 70% of global users are digitally influenced to purchase financial products via mobile banking platforms. The growing number of internet users and rising adoption of digital payment systems are pushing enterprises to invest heavily in advanced fraud detection tools.

The electronic payment segment held 42.18% of the global market share in 2026, driven by increased online transactions. Rising e-commerce fraud losses are compelling financial institutions to deploy AI-driven fraud analytics systems.

Restraining Factors

Lack of Skilled Professionals and Limited Awareness

Despite strong growth prospects, the shortage of skilled cybersecurity professionals across developing regions poses a significant challenge. Emerging economies in South America, the Middle East & Africa, and parts of Asia Pacific face limited awareness and slower adoption rates of advanced FDP technologies.

Additionally, sophisticated cyberattacks and evolving fraud techniques sometimes challenge traditional fraud detection models, necessitating continuous upgrades and investments.

Market Segmentation Analysis

By Solution

The market is segmented into fraud analytics, governance, risk & compliance (GRC), and authentication.

The authentication segment is expected to capture a significant share due to the growing adoption of multi-factor authentication (MFA) solutions. Advanced authentication methods provide additional security layers, preventing unauthorized access to confidential data.

By Deployment

Based on deployment, the market is categorized into on-premise and cloud.

The cloud segment accounted for 46.44% market share in 2026, driven by AI-powered analytics and cost-effective scalability benefits. Meanwhile, the on-premise segment continues to grow steadily, especially across government and education sectors requiring secure data control.

By Enterprise Type

The market is divided into large enterprises and SMEs.

Large enterprises dominated the market with a 64.09% share in 2026, due to increased digital transformation initiatives. However, SMEs are projected to grow at the highest CAGR during the forecast period as start-ups and mid-sized businesses prioritize cybersecurity investments.

By Industry

The BFSI segment led the market in 2025 due to increasing financial fraud cases and digital identity thefts. The healthcare & life sciences segment is expected to register the highest CAGR by 2034, driven by growing fraudulent insurance claims and demand for fraud analytics solutions.

Regional Insights

North America

North America generated USD 22.93 billion in 2025, maintaining its leadership position. The U.S. market reached USD 21.47 billion in 2026, supported by widespread adoption of secure mobile payment platforms and AI-powered fraud detection systems.

Asia Pacific

Asia Pacific is projected to witness the highest CAGR during the forecast period. By 2026, China reached USD 5.50 billion, Japan USD 2.41 billion, and India USD 2.26 billion, driven by expanding digital infrastructure and fintech growth.

Europe

Europe is expected to grow at a significant rate through 2034. By 2026, the UK reached USD 6.46 billion, while Germany reached USD 5.08 billion, supported by strong regulatory frameworks and increasing fraud analytics adoption.

South America & Middle East & Africa

These regions are anticipated to witness healthy growth by 2034, led by Brazil and Gulf countries investing in secure digital payment infrastructure and IT modernization projects.

Key Industry Players

Major companies operating in the global FDP market include:

• IBM Corporation
• Experian Information Solutions, Inc.
• BAE Systems
• ACI Worldwide, Inc.
• Fair Isaac Corporation (FICO)
• Fidelity National Information Services, Inc.
• LexisNexis Risk Solutions
• NICE Actimize Ltd.
• Uplexis

These players focus on AI-driven innovation, partnerships, product launches, and acquisitions to strengthen their competitive position globally.

Conclusion

The global Fraud Detection and Prevention market is poised for robust expansion, growing from USD 54.61 billion in 2025 to USD 67.12 billion in 2026, and projected to reach USD 243.72 billion by 2034, at a CAGR of 17.50%. Rising digital payments, mobile banking adoption, increasing cybercrime incidents, and advancements in AI and cloud technologies are key growth drivers. Although challenges such as lack of skilled professionals and evolving cyber threats persist, continuous innovation, regulatory compliance, and growing enterprise awareness are expected to sustain strong market growth through 2034.

Segmentation By Solution

• Fraud Analytics
  • Predictive Analytics
  • Customer Analytics
  • Social Media Analytics
  • Big Data Analytics
  • Behavioral Analytics
• Authentication
  • Single-Factor Authentication
  • Multi-Factor Authentication
• Governance, Risk and Compliance

By Application

• Insurance Claims
• Money Laundering
• Electronic Payment
• Others (Banking Transactions)

By Deployment

• On-Premise
• Cloud

By Enterprise Type

• Large Enterprises
• Small & Medium Enterprises (SMEs)

By Industry

• BFSI
• IT & Telecom
• Retail & Consumer Packaged Goods
• Government
• Construction & Real Estate
• Energy & Utilities
• Travel & Transportation
• Manufacturing
• Healthcare & Life Sciences
• Media & Entertainment
• Others

By Region

• North America (Solution; Application; Deployment; Enterprise Type; Industry; and Country)
  • U.S. (By Application)
  • Canada (By Application)
• South America (Solution; Application; Deployment; Enterprise Type; Industry; and Country)
  • Brazil (By Application)
  • Mexico (By Application)
  • Rest of South America
• Europe (Solution; Application; Deployment; Enterprise Type; Industry; and Country)
  • U.K. (By Application)
  • Germany (By Application)
  • France (By Application)
  • Italy (By Application)
  • Spain (By Application)
  • Rest of Europe
• Middle East & Africa (Solution; Application; Deployment; Enterprise Type; Industry; and Country)
  • GCC (By Application)
  • South Africa (By Application)
  • Rest of the Middle East & Africa
• Asia Pacific (Solution; Application; Deployment; Enterprise Type; Industry; and Country)
  • China (By Application)
  • India (By Application)
  • Japan (By Application)
  • Southeast Asia (By Application)
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Fraud Detection and Prevention Key Players Market Share/Ranking, 2025

5. Global Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Solutions (USD)
  • 5.2.1. Fraud Analytics
    • 5.2.1.1. Customer Analytics
    • 5.2.1.2. Social Media Analytics
    • 5.2.1.3. Big Data Analytics
    • 5.2.1.4. Behavioral Analytics
    • 5.2.1.5. Predictive 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
• 5.3. By Application (USD)
  • 5.3.1. Insurance claims
  • 5.3.2. Money laundering
  • 5.3.3. Electronic payment
  • 5.3.4. Others (Banking transactions, etc.)
• 5.4. By Deployment (USD)
  • 5.4.1. On-premise
  • 5.4.2. Cloud
• 5.5. By Enterprise Type (USD)
  • 5.5.1. Large Enterprises
  • 5.5.2. Small & Medium Enterprises (SMEs)
• 5.6. By Industry (USD)
  • 5.6.1. BFSI
  • 5.6.2. IT and Telecom
  • 5.6.3. Retail and Consumer Packaged Goods
  • 5.6.4. Government
  • 5.6.5. Construction and Real Estate
  • 5.6.6. Energy and Utilities
  • 5.6.7. Travel and Transportation
  • 5.6.8. Manufacturing
  • 5.6.9. Healthcare and Life Sciences
  • 5.6.10. Media and Entertainment
  • 5.6.11. Others
• 5.7. By Region (USD)
  • 5.7.1. North America
  • 5.7.2. South America
  • 5.7.3. Europe
  • 5.7.4. Middle East and Africa
  • 5.7.5. Asia Pacific

6. North America Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Solutions (USD)
  • 6.2.1. Fraud Analytics
    • 6.2.1.1. Customer Analytics
    • 6.2.1.2. Social Media Analytics
    • 6.2.1.3. Big Data Analytics
    • 6.2.1.4. Behavioral Analytics
    • 6.2.1.5. Predictive Analytics
  • 6.2.2. Authentication
    • 6.2.2.1. Single-Factor Authentication
    • 6.2.2.2. Multi-Factor Authentication
  • 6.2.3. Governance, Risk, and Compliance
• 6.3. By Application (USD)
  • 6.3.1. Insurance claims
  • 6.3.2. Money laundering
  • 6.3.3. Electronic payment
  • 6.3.4. Others (Banking transactions, etc.)
• 6.4. By Deployment (USD)
  • 6.4.1. On-premise
  • 6.4.2. Cloud
• 6.5. By Enterprise Type (USD)
  • 6.5.1. Large Enterprises
  • 6.5.2. Small & Medium Enterprises (SMEs)
• 6.6. By Industry (USD)
  • 6.6.1. BFSI
  • 6.6.2. IT and Telecom
  • 6.6.3. Retail and Consumer Packaged Goods
  • 6.6.4. Government
  • 6.6.5. Construction and Real Estate
  • 6.6.6. Energy and Utilities
  • 6.6.7. Travel and Transportation
  • 6.6.8. Manufacturing
  • 6.6.9. Healthcare and Life Sciences
  • 6.6.10. Media and Entertainment
  • 6.6.11. Others
• 6.7. By Country (USD)
  • 6.7.1. United States
    • 6.7.1.1. Application
  • 6.7.2. Canada
    • 6.7.2.1. Application

7. South America Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Solutions (USD)
  • 7.2.1. Fraud Analytics
    • 7.2.1.1. Customer Analytics
    • 7.2.1.2. Social Media Analytics
    • 7.2.1.3. Big Data Analytics
    • 7.2.1.4. Behavioral Analytics
    • 7.2.1.5. Predictive Analytics
  • 7.2.2. Authentication
    • 7.2.2.1. Single-Factor Authentication
    • 7.2.2.2. Multi-Factor Authentication
  • 7.2.3. Governance, Risk, and Compliance
• 7.3. By Application (USD)
  • 7.3.1. Insurance claims
  • 7.3.2. Money laundering
  • 7.3.3. Electronic payment
  • 7.3.4. Others (Banking transactions, etc.)
• 7.4. By Deployment (USD)
  • 7.4.1. On-premise
  • 7.4.2. Cloud
• 7.5. By Enterprise Type (USD)
  • 7.5.1. Large Enterprises
  • 7.5.2. Small & Medium Enterprises (SMEs)
• 7.6. By Industry (USD)
  • 7.6.1. BFSI
  • 7.6.2. IT and Telecom
  • 7.6.3. Retail and Consumer Packaged Goods
  • 7.6.4. Government
  • 7.6.5. Construction and Real Estate
  • 7.6.6. Energy and Utilities
  • 7.6.7. Travel and Transportation
  • 7.6.8. Manufacturing
  • 7.6.9. Healthcare and Life Sciences
  • 7.6.10. Media and Entertainment
  • 7.6.11. Others
• 7.7. By Country (USD)
  • 7.7.1. Brazil
    • 7.7.1.1. Application
  • 7.7.2. Mexico
    • 7.7.2.1. Application
  • 7.7.3. Rest of South America

8. Europe Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Solutions (USD)
  • 8.2.1. Fraud Analytics
    • 8.2.1.1. Customer Analytics
    • 8.2.1.2. Social Media Analytics
    • 8.2.1.3. Big Data Analytics
    • 8.2.1.4. Behavioral Analytics
    • 8.2.1.5. Predictive Analytics
  • 8.2.2. Authentication
    • 8.2.2.1. Single-Factor Authentication
    • 8.2.2.2. Multi-Factor Authentication
  • 8.2.3. Governance, Risk, and Compliance
• 8.3. By Application (USD)
  • 8.3.1. Insurance claims
  • 8.3.2. Money laundering
  • 8.3.3. Electronic payment
  • 8.3.4. Others (Banking transactions, etc.)
• 8.4. By Deployment (USD)
  • 8.4.1. On-premise
  • 8.4.2. Cloud
• 8.5. By Enterprise Type (USD)
  • 8.5.1. Large Enterprises
  • 8.5.2. Small & Medium Enterprises (SMEs)
• 8.6. By Industry (USD)
  • 8.6.1. BFSI
  • 8.6.2. IT and Telecom
  • 8.6.3. Retail and Consumer Packaged Goods
  • 8.6.4. Government
  • 8.6.5. Construction and Real Estate
  • 8.6.6. Energy and Utilities
  • 8.6.7. Travel and Transportation
  • 8.6.8. Manufacturing
  • 8.6.9. Healthcare and Life Sciences
  • 8.6.10. Media and Entertainment
  • 8.6.11. Others
• 8.7. By Country (USD)
  • 8.7.1. United Kingdom
    • 8.7.1.1. Application
  • 8.7.2. Germany
    • 8.7.2.1. Application
  • 8.7.3. France
    • 8.7.3.1. Application
  • 8.7.4. Italy
    • 8.7.4.1. Application
  • 8.7.5. Spain
    • 8.7.5.1. Application
  • 8.7.6. Rest of Europe

9. Middle East & Africa Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Solutions (USD)
  • 9.2.1. Fraud Analytics
    • 9.2.1.1. Customer Analytics
    • 9.2.1.2. Social Media Analytics
    • 9.2.1.3. Big Data Analytics
    • 9.2.1.4. Behavioral Analytics
    • 9.2.1.5. Predictive Analytics
  • 9.2.2. Authentication
    • 9.2.2.1. Single-Factor Authentication
    • 9.2.2.2. Multi-Factor Authentication
  • 9.2.3. Governance, Risk, and Compliance
• 9.3. By Application (USD)
  • 9.3.1. Insurance claims
  • 9.3.2. Money laundering
  • 9.3.3. Electronic payment
  • 9.3.4. Others (Banking transactions, etc.)
• 9.4. By Deployment (USD)
  • 9.4.1. On-premise
  • 9.4.2. Cloud
• 9.5. By Enterprise Type (USD)
  • 9.5.1. Large Enterprises
  • 9.5.2. Small & Medium Enterprises (SMEs)
• 9.6. By Industry (USD)
  • 9.6.1. BFSI
  • 9.6.2. IT and Telecom
  • 9.6.3. Retail and Consumer Packaged Goods
  • 9.6.4. Government
  • 9.6.5. Construction and Real Estate
  • 9.6.6. Energy and Utilities
  • 9.6.7. Travel and Transportation
  • 9.6.8. Manufacturing
  • 9.6.9. Healthcare and Life Sciences
  • 9.6.10. Media and Entertainment
  • 9.6.11. Others
• 9.7. By Country (USD)
  • 9.7.1. GCC
    • 9.7.1.1. Application
  • 9.7.2. South Africa
    • 9.7.2.1. Application
  • 9.7.3. Rest of Middle East & Africa

10. Asia Pacific Fraud Detection and Prevention Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Solutions (USD)
  • 10.2.1. Fraud Analytics
    • 10.2.1.1. Customer Analytics
    • 10.2.1.2. Social Media Analytics
    • 10.2.1.3. Big Data Analytics
    • 10.2.1.4. Behavioral Analytics
    • 10.2.1.5. Predictive Analytics
  • 10.2.2. Authentication
    • 10.2.2.1. Single-Factor Authentication
    • 10.2.2.2. Multi-Factor Authentication
  • 10.2.3. Governance, Risk, and Compliance
• 10.3. By Application (USD)
  • 10.3.1. Insurance claims
  • 10.3.2. Money laundering
  • 10.3.3. Electronic payment
  • 10.3.4. Others (Banking transactions, etc.)
• 10.4. By Deployment (USD)
  • 10.4.1. On-premise
  • 10.4.2. Cloud
• 10.5. By Enterprise Type (USD)
  • 10.5.1. Large Enterprises
  • 10.5.2. Small & Medium Enterprises (SMEs)
• 10.6. By Industry (USD)
  • 10.6.1. BFSI
  • 10.6.2. IT and Telecom
  • 10.6.3. Retail and Consumer Packaged Goods
  • 10.6.4. Government
  • 10.6.5. Construction and Real Estate
  • 10.6.6. Energy and Utilities
  • 10.6.7. Travel and Transportation
  • 10.6.8. Manufacturing
  • 10.6.9. Healthcare and Life Sciences
  • 10.6.10. Media and Entertainment
  • 10.6.11. Others
• 10.7. By Country (USD)
  • 10.7.1. China
    • 10.7.1.1. Application
  • 10.7.2. Japan
    • 10.7.2.1. Application
  • 10.7.3. India
    • 10.7.3.1. Application
  • 10.7.4. Southeast Asia
    • 10.7.4.1. Application
  • 10.7.5. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. IBM Corporation
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Uplexis
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Experian Information Solutions, Inc.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Gemalto - Thales Group
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. ACI Worldwide, Inc.
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. BAE Systems
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Fair Isaac Corporation
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Fidelity National Information Services, Inc
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. LexisNexis
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. NICE Actimize Ltd.
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments