美國的偵測·防止詐欺市場:各零件，各用途，各部署，類別企業，各產業，各地區，機會，預測，2018年～2032年

美國詐欺偵測與預防市場規模預計將從2024年的72.3億美元成長到2032年的174.8億美元，在2025-2032年的預測期內，複合年增長率為11.67%。受數位平台上詐欺活動數量和複雜程度的不斷增加的推動，美國詐欺檢測與預防市場正在經歷快速增長。隨著企業和消費者擴大採用線上交易、手機銀行、電子商務和數位支付，保護財務和個人資料的需求變得比以往任何時候都更加迫切，這推動了美國詐欺檢測與預防市場的顯著增長。

企業正藉助人工智慧、機器學習、行為分析和雲端運算，大力採用更智慧的詐欺預防技術，同時即時監控和應對威脅。商業環境正在從基於規則的僵化解決方案轉向能夠應對動態詐欺活動模式的複雜自適應解決方案。金融機構、醫療保健組織、政府機構和電商網站是領先的採用者，他們注重即時可見性、事件的自動回應以及合規性要求。雲端交付解決方案因其彈性、可擴展性以及與現有IT環境的整合而日益普及。

此外，策略合作夥伴關係、創新創投和人工智慧平台正在定義競爭格局。從IBM、FICO和Experian等產業領導者到下一代技術的創新者，企業都在優先考慮先進的詐欺偵測能力，以應對不斷演變的威脅。美國詐欺偵測和預防市場不僅在成長，而且正在向更智慧的方式轉型，預計將成為各產業安全數位轉型的基石。

本報告提供美國的偵測·防止詐欺市場相關調查，市場概要，以及各零件，各用途，各部署，類別企業，各產業，各地區趨勢，及加入此市場的主要企業簡介等資訊。

目錄

第1章 計劃的範圍和定義

第2章 調查手法

第3章 美國的關稅的影響

第4章 摘要整理

第5章 顧客的迴響

第6章 美國的偵測·防止詐欺市場預測，2018年～2032年

• 市場規模分析與預測
• 市場佔有率分析與預測
  • 各零件
    • 解決方案
    • 服務
  • 各用途
    • 保險金申請
    • 洗錢
    • 電子付款
    • 其他
  • 各部署
    • 內部部署
    • 雲端
  • 類別企業
    • 大企業
    • 中小企業
  • 各產業
    • BFSI
    • IT·通訊
    • 零售·消費品
    • 政府
    • 建設·不動產
    • 能源·公共產業
    • 製造業
    • 醫療保健·生命科學
    • 其他
  • 各地區
    • 東北部
    • 中西部
    • 西部
    • 南部
  • 各企業市場佔有率分析(前五名公司以及其他- 各金額，2024年)
• 2024年的市場地圖分析

第7章 波特的五力分析

第8章 大環境分析

第9章 價格分析

第10章 市場動態

• 市場促進因素
• 市場課題

第11章 市場趨勢與發展

第12章 案例研究

第13章 競爭情形

• 前五名市場領導的競爭矩陣
• 前五名參與企業的SWOT分析
• 前10名市場主要企業的形勢
  • IBM Corporation
  • Thales S.A.
  • Oracle Corporation
  • SAP SE
  • Fiserv, Inc.
  • Nice Ltd.
  • F5 Inc.
  • Sas Institute Inc.
  • Fair Isaac Corporation (FICO)
  • ACI Worldwide Inc.

第14章 策略性建議

第15章 關於調查公司·免責聲明

United States fraud detection and prevention market is projected to witness a CAGR of 11.67% during the forecast period 2025-2032, growing from USD 7.23 billion in 2024 to USD 17.48 billion in 2032. The U.S. fraud detection and prevention market is witnessing rapid growth, driven by the increasing volume and sophistication of fraudulent activities across digital platforms. As businesses and consumers increasingly adopt online transactions, mobile banking, e-commerce, and digital payments, the need to safeguard financial and personal data has become more urgent than ever, driving significant growth in the U.S. fraud detection and prevention market.

Businesses are significantly adopting smarter fraud prevention techniques with the help of artificial intelligence, machine learning, behavior analytics, and cloud computing while they perform real-time monitoring and battle threats. The business landscape is moving away from rigid rule-based solutions to complex adaptive solutions that are capable of handling dynamic patterns of fraud. Financial organizations, healthcare organizations, governments, and e-commerce websites are among the leading adopters, with a focus on real-time visibility, automated response to events, and compliance requirements. Cloud-delivered solutions have gained popularity as they offer elasticity, scalability, and integration with present IT environments.

In addition, strategic partnerships, venture investments in innovation, and AI platforms are defining the competitive landscape. From industry leaders such as IBM, FICO, and Experian to next-gen tech innovators, organizations are prioritizing advanced fraud detection capabilities to combat increasingly sophisticated threats. The U.S. fraud detection and prevention market is not just growing but transforming into a more intelligent method of approach, ready to be a cornerstone for secure digital transformation in industries.

Rising Sophistication of Fraudulent Activities Driving Demand for AI-Powered Detection Solutions

As fraud schemes become increasingly more complex and technology-enabled, organizations across the U.S. are prioritizing the deployment of next-gen fraud detection solutions. Legacy rule-based systems are no longer adequate against sophisticated threats such as synthetic identity fraud, real-time social engineering, and bot-driven scams, accelerating demand for advanced fraud detection and prevention solutions in the U.S. market. In addition, the demand for AI-driven solutions that support real-time threat detection, predictive analysis, and anomaly detection has grown in response. Also, the technologies allow systems to continuously learn from new information, evolve with new patterns of fraud, and reduce false positives while optimizing accuracy. The need to protect consumers, outflank regulation, and maintain the brand as trustworthy is compelling both financial and non-financial institutions towards intelligent, scalable anti-fraud solutions. In addition, the companies are collaborating to address the rising demand from different organization concerning fraud detection and prevention.

For example, in December 2023, Neuro-ID, Inc. and Experian Credit Information Company of India Private Limited entered a collaboration to boost fraud protection in their products. The collaboration is meant to prevent fraud attacks, evade identity theft, and protect against AI-powered bots.

Integration of Fraud Prevention with Broader Risk and Compliance Frameworks

The U.S. market is shifting from standalone detection systems toward integrated platforms that combine fraud prevention with credit risk management, compliance, and cybersecurity solutions, reflecting growing industry demand for comprehensive protection. Organizations recognize that solo systems not only produce inefficiencies but also weaknesses, which are taken advantage of by fraudsters. This has led to further investment in solutions that deliver a single, end-to-end view of customer risk and behavior across the whole lifecycle. Integrated fraud management systems leverage data-sharing across departments to enable faster decision-making and enhance cross-channel fraud prevention. In addition, companies in the market are also enabling regulatory reporting and enhancing operational efficiency by consolidating tools under one risk architecture. Over time, as transactions go digital, particularly for sectors such as banking, insurance, and trade, the need for such enormous systems grows.

For example, Abrigo Inc. partnered with Mitek Systems, Inc. in November 2023 to launch an integrated platform that ties compliance, credit risk, and fraud prevention together. The partnership is a flagship market move towards an aligned ecosystem model that improves the effectiveness of fraud detection, reduces inefficiency in cost, and optimizes regulatory compliance.

Cloud Segment Dominates U.S. Fraud Detection and Prevention Market Share

The cloud segment leads in the U.S. fraud prevention and detection market because of its flexibility, cost-effectiveness, and ability to respond in real-time. As more businesses move to online platforms, there has been explosive growth in the demand for elastic and dynamic fraud prevention solutions. Cloud-based platforms provide end-to-end channel convergence, faster deployment, and ongoing updates, which are perfect for businesses that need to stay in step with dynamic fraud threats. The cloud also allows organizations access to advanced technologies such as artificial intelligence, machine learning, and behavior analytics with little or no capital expenditure on infrastructure. These help fraud detection systems scan gigantic volumes of data in real-time, detect anomalies, and react to threats even before they hit. Cloud platforms also improve collaboration in that they consolidate data, render it accurate, and enable them to be compliant with regulatory obligations.

For example, in June 2024, Fair Isaac Corporation launched its Enhanced Fraud Detection Platform that uses AI and blockchain technologies on cloud architecture. The offering allows companies to detect fraud with greater accuracy while taking advantage of cloud speed and agility. As people keep asking for more digital services and cyberattacks get more common, the segment shall keep on being the first choice for the U.S. fraud detection and prevention market.

Northeast Region Holds the Largest U.S. Fraud Detection and Prevention Market Size

The Northeast area is the leading province in the U.S. marketplace for fraud detection and prevention, with its concentrated group of financial institutions, insurance companies, and technology companies. The Northeast region is a high-risk region that compels companies to implement sophisticated fraud prevention products and systems increasingly. In addition, the region's well-regulated state and data security compliance focus also compel the implementation of emerging fraud detection technologies. There is the highest demand in industries such as banking, healthcare, and e-commerce, where there is bulk sensitive customer data. The availability of top cybersecurity companies and AI technology companies also acts as a driver for regional growth.

For example, in March 2024, Visa Global expanded its Visa Protect suite by launching AI-driven fraud offerings aimed at payment fraud in real-time. The offerings were quickly adopted by several of the Northeast's institutions, indicating the region's eagerness to address sophisticated fraud threats. As digital payments continue to grow and fraud methods keep evolving, the Northeast is likely to continue to be an innovator because of its technology-infused infrastructure, regulatory emphasis, and economic relevance.

Impact of U.S. Tariffs on the United States Fraud Detection and Prevention Market

While U.S. tariffs do not directly influence the fraud detection and prevention market, they can indirectly influence its growth and cost basis. Tariffs that are placed on imported technology materials such as servers, processors, and cybersecurity gear could increase fraud prevention solution creation and deployment expenses. This could discourage small and mid-sized organizations from adopting sophisticated on-premises solutions, diminishing adoption rates. Concurrently, these tensions on costs would accelerate the shift toward cloud and AI-driven fraud detection platforms that are more scalable and less capital-intensive. Moreover, tariff-related disruptions in global supply chains could delay product timelines and innovation cycles for U.S. supplier's dependent on foreign technology partners.

Key Players Landscape and Outlook

The United States fraud prevention and detection market has been described as fragmented, where both existing big players and new companies offer numerous solutions that are targeted at different industries. The market is comprised of cybersecurity leaders, fintech innovators, and AI analytics providers-each delivering specialized solutions for fraud monitoring, real-time detection, identity verification, and risk assessment. Through this competitive market, the client can choose solutions based on size, industry, and digital maturity level.

Market leaders are continually innovating by integrating artificial intelligence, behavioral analytics, and cloud technology into their offerings. These vendors take the lead in enhancing real-time detection, decision automation, and delivering scalable solutions through cloud platforms. Their strong R&D activities and partnerships with government bodies and financial institutions place them at the industry lead.

For instance, in August of 2024, CPI Card Group Inc. partnered with Rippleshot, a fraud prevention platform, to expand its list of services. The partnership introduced advanced anti-fraud tools to CPI customers, enabling them to detect card-related fraud in an active manner, reduce chargebacks, and enhance customer trust. The move reflects how collaborative ventures between mature providers and fraud tech businesses are revolutionizing the sector. Startups and small businesses are also leaving their imprint by providing niche, clever solutions, typically in domains such as e-commerce, healthcare, and online lending. Mid-sized businesses and newer digital platforms are drawn to their ability to provide rapid-set tools and shorter deployment cycles.

In the future, the market is also expected to remain competitive, with a growing demand for integrated fraud management systems, multi-channel protection, and AI-based analytics. Buyers are advised to prefer vendors that offer integration capabilities, real-time analysis, and strong compliance support so that they can remain resilient in a dynamic threat environment.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondents' Demographics
• 5.2. Mode of Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Consideration of Privacy and Regulations

6. United States Fraud Detection and Prevention Market Outlook, 2018- 2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Component
    • 6.2.1.1. Solution
      • 6.2.1.1.1. Fraud Analytics
        • 6.2.1.1.1.1. Predictive Analytics
        • 6.2.1.1.1.2. Customer Analytics
        • 6.2.1.1.1.3. Social Media Analytics
        • 6.2.1.1.1.4. Big Data Analytics
        • 6.2.1.1.1.5. Behavioral Analytics
      • 6.2.1.1.2. Authentication
        • 6.2.1.1.2.1. Single-Factor Authentication
        • 6.2.1.1.2.2. Multi-Factor Authentication
      • 6.2.1.1.3. Governance, Risk and Compliance
    • 6.2.1.2. Services
  • 6.2.2. By Application
    • 6.2.2.1. Insurance Claims
    • 6.2.2.2. Money Laundering
    • 6.2.2.3. Electronic Payment
    • 6.2.2.4. Others
  • 6.2.3. By Deployment
    • 6.2.3.1. On-Premises
    • 6.2.3.2. Cloud
  • 6.2.4. By Enterprise Type
    • 6.2.4.1. Large Enterprises
    • 6.2.4.2. Small and Medium Enterprises (SMEs)
  • 6.2.5. By Industry
    • 6.2.5.1. BFSI
    • 6.2.5.2. IT and Telecom
    • 6.2.5.3. Retail and Consumer Packaged Goods
    • 6.2.5.4. Government
    • 6.2.5.5. Construction and Real Estate
    • 6.2.5.6. Energy and Utilities
    • 6.2.5.7. Manufacturing
    • 6.2.5.8. Healthcare and Life Sciences
    • 6.2.5.9. Others
  • 6.2.6. By Region
    • 6.2.6.1. Northeast
    • 6.2.6.2. Midwest
    • 6.2.6.3. West
    • 6.2.6.4. South
  • 6.2.7. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Component
  • 6.3.2. By Application
  • 6.3.3. By Deployment
  • 6.3.4. By Enterprise Size
  • 6.3.5. By Industry
  • 6.3.6. By Region

7. Porter's Five Forces Analysis

8. PESTLE Analysis

9. Pricing Analysis

10. Market Dynamics

• 10.1. Market Drivers
• 10.2. Market Challenges

11. Market Trends and Developments

12. Case Studies

13. Competitive Landscape

• 13.1. Competition Matrix of Top 5 Market Leaders
• 13.2. SWOT Analysis for Top 5 Players
• 13.3. Key Players Landscape for Top 10 Market Players
  • 13.3.1. IBM Corporation
    • 13.3.1.1. Company Details
    • 13.3.1.2. Key Management Personnel
    • 13.3.1.3. Products and Services
    • 13.3.1.4. Financials (As Reported)
    • 13.3.1.5. Key Market Focus and Geographical Presence
    • 13.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 13.3.2. Thales S.A.
  • 13.3.3. Oracle Corporation
  • 13.3.4. SAP SE
  • 13.3.5. Fiserv, Inc.
  • 13.3.6. Nice Ltd.
  • 13.3.7. F5 Inc.
  • 13.3.8. Sas Institute Inc.
  • 13.3.9. Fair Isaac Corporation (FICO)
  • 13.3.10. ACI Worldwide Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

14. Strategic Recommendations

15. About Us and Disclaimer

List of Tables

• Table 1. Competition Matrix of Top 5 Market Leaders
• Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. U.S. Fraud Detection and Prevention Market, By Value, In USD Billion, 2018-2032F
• Figure 2. U.S. Fraud Detection and Prevention Market Share (%), By Component, 2018-2032F
• Figure 3. U.S. Fraud Detection and Prevention Market Share (%), By Application, 2018-2032F
• Figure 4. U.S. Fraud Detection and Prevention Market Share (%), By Deployment, 2018-2032F
• Figure 5. U.S. Fraud Detection and Prevention Market Share (%), By Enterprise Type, 2018-2032F
• Figure 6. U.S. Fraud Detection and Prevention Market Share (%), By Industry, 2018-2032F
• Figure 7. U.S. Fraud Detection and Prevention Market Share (%), By Region, 2018-2032F
• Figure 8. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 9. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 10. By Deployment Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 11. By Enterprise Type Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 12. By Industry Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 13. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024