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市场调查报告书
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诈欺预测与检测系统市场：2025-2030 年全球预测（按服务提供、组件、部署类型、公司规模和行业细分）

Predictive Fraud Detection Systems Market by Offering, Component, Deployment Mode, Enterprise Size, Industry Domain - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 195 Pages | 商品交期: 最快1-2个工作天内

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诈欺预测和侦测系统市场预计到 2024 年将达到 164.8 亿美元，到 2025 年将达到 206.2 亿美元，复合年增长率为 25.59%，到 2030 年将达到 647.2 亿美元。

主要市场统计数据
基准年 2024 年 164.8亿美元
预计 2025 年 206.2亿美元
预测年份 2030 647.2亿美元
复合年增长率（%） 25.59％

在当今快节奏的数位时代，各行各业的组织都面临着日益复杂的诈骗的持续威胁。随着网路犯罪分子不断使用先进技术并利用漏洞，对预测诈欺侦测系统的需求从未如此强烈。本执行摘要说明了新技术如何与创新分析方法结合，改变企业防范财务和声誉风险的方式。

诈欺侦测正在从被动技术转变为主动资料主导的策略。现代系统利用人工智慧、机器学习和巨量资料分析的力量来预测潜在威胁，以免造成重大损失。这种转变不仅会使组织更具弹性，还会提高监管合规和风险管理流程的效率。

每个领域的快速数位转型迫使决策者采用准确、扩充性且适应性强的工具。即时分析和动态风险评估框架的结合使企业能够预测诈欺模式并快速应对新兴趋势。本概述为全面分析关键细分市场、区域动态和策略见解奠定了基础，为未来对预测诈欺侦测技术的投资提供资讯。

重新定义诈欺检测格局的变革

近年来，诈欺检测方法发生了根本性的变化。各行各业正在摆脱传统的基于规则的系统，并拥抱预测分析的变革力量。组织越来越依赖先进的演算法，这些演算法不仅可以分析历史资料，还可以即时检测细微的模式和异常。

科技的进步开启了一个新时代，机器学习和统计建模处于诈欺预防的最前沿。这种模式转移的特点是准确性提高、威胁识别速度加快、以及对不断变化的风险载体有更细緻的理解。公司现在可以将大量不同的资料（从交易记录到行为分析）整合到综合风险管理框架中。随着云端基础的日益普及，这种转变进一步加速，因为云端平台提供了更强大的运算能力和可扩展性。

技术创新、监管变化和消费者意识的增强正在极大地影响业务环境。公司被迫采用诈欺预测和侦测系统，不仅是为了提高业务效率，也是为了维护相关人员的信任和信心。技术供应商和金融机构之间的协作努力促进了可互操作系统的发展，该系统可以快速响应最新的诈欺趋势，确保持续改进和强大的防诈欺机制。

这种不断变化的情况要求对旧有系统进行策略性重新评估，并采取能够应对现代诈欺复杂动态的前瞻性解决方案。

深入了解市场区隔

对预测诈欺侦测市场的全面分析揭示了精心建构的细分市场，揭示了关键的成长动力和使用模式。市场最初根据产品进行细分，服务和软体解决方案在帮助组织主动管理诈欺风险方面发挥关键作用。这种二分法使得公司能够选择最适合其业务能力和预算限制的模式。

根据组件进一步细分，市场分为资料提取和整合、风险管理、统计建模和机器学习等组成部分。每个元件在建立整体诈欺侦测框架中都发挥着至关重要的作用。资料撷取和进阶分析工具之间的相互作用可提供可操作的见解，使企业能够高度准确地预测诈欺活动。

按部署类型细分市场突显了云端和内部部署解决方案之间的竞争动态。虽然云端技术提供了灵活性、扩充性和较低的前期成本，但需要严格资料控制和进阶安全措施的组织通常更喜欢内部部署系统。此外，基于公司规模的细分可以区分大型企业和小型企业，并认识到不同规模所具有的独特需求和风险接受度。

最后，产业垂直细分涵盖各个领域，包括银行、金融服务和保险、政府和国防、医疗保健、工业和製造业、IT 和通讯、以及零售和电子商务。这种广泛的范围凸显了诈欺的普遍挑战以及在不同情况下采用的自订策略。每个细分因素都凸显了预测诈欺侦测系统的复杂性和适应性，以满足不同的市场需求。

目录

第 1 章 简介

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 诈骗活动变得越来越复杂，需要更强大的侦测系统
      • 网路付款交易的成长推动了对进阶预测诈骗侦测的需求。
      • 金融领域的监理监督和严格合规要求
    • 限制因素
      • 诈欺预测和检测系统相关的高实施成本和整合挑战
    • 机会
      • 与区块链技术集成，增强交易透明度和安全性
      • 人工智慧和机器学习的进步将提高预测系统的有效性
    • 任务
      • 对资料隐私和不断演变的诈骗行为的担忧
  • 市场区隔分析
    • 功能：用于即时监控和自动模式识别的预测性诈骗侦测软体的需求不断增长
    • 部署模式：首选云端基础的诈欺诈欺侦测系统，以实现动态可扩展性和成本效益
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第 6 章诈欺预测与侦测系统市场（依产品分类）

  • 服务
  • 软体

第七章诈欺预测与检测系统市场组成部分

  • 资料撷取与整合
  • 风险管理
  • 统计建模和机器学习

第 8 章诈欺预测和侦测系统市场（按部署模式）

  • 云
  • 本地

第九章诈欺预测和侦测系统市场（按公司规模）

  • 大型企业
  • 中小企业

第 10 章诈欺预测与侦测系统市场（按行业细分）

  • 银行、金融服务和保险
  • 政府和国防
  • 卫生保健
  • 工业/製造业
  • 资讯科技和通讯
  • 零售与电子商务

诈欺11 章。

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第 12 章 亚太地区诈欺预测与侦测系统市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第 13诈欺。

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十四章 竞争格局

  • 2024 年市场占有率分析
  • FPNV 定位矩阵，2024 年
  • 竞争情境分析
  • 战略分析与建议

公司列表

  • ACI Worldwide, Inc.
  • Amani Ai
  • BAE Systems
  • BioCatch Ltd.
  • Bottomline Technologies, Inc.
  • Caseware International Inc.
  • DataVisor, Inc.
  • Equifax Inc.
  • Fiserv, Inc.
  • IBM Corporation
  • Incognia
  • LexisNexis Risk Solution
  • Microsoft Corporation
  • NICE Ltd.
  • NoFraud
  • Oracle Corporation
  • Riskified Ltd.
  • Sagitec Solutions
  • SAP SE
  • SEON Technologies Ltd.
  • SHIELD AI Technologies Pte. Ltd.
  • Signifyd, Inc.
  • SpyCloud Inc.
  • Thales SA
  • Tookitaki Holding Pte. Ltd
  • XTN Cognitive Security Srl
Product Code: MRR-591C37EBF688

The Predictive Fraud Detection Systems Market was valued at USD 16.48 billion in 2024 and is projected to grow to USD 20.62 billion in 2025, with a CAGR of 25.59%, reaching USD 64.72 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 16.48 billion
Estimated Year [2025] USD 20.62 billion
Forecast Year [2030] USD 64.72 billion
CAGR (%) 25.59%

In today's fast-paced digital era, organizations across a myriad of industries are under constant threat from increasingly sophisticated fraudulent activities. As cybercriminals leverage advanced techniques and exploit vulnerabilities, the necessity for predictive fraud detection systems has never been more pronounced. This executive summary provides an in-depth exploration of how emerging technologies, combined with innovative analytical approaches, are transforming the way businesses shield themselves from financial and reputational risks.

The evolution of fraud detection has transitioned from reactive methods to proactive, data-driven strategies. Modern systems harness the power of artificial intelligence, machine learning, and big data analytics to predict potential threats before they materialize into significant losses. This shift not only bolsters organizational resilience but also enhances the efficiency of regulatory compliance and risk management processes.

With the rapid digital transformation across sectors, decision-makers are compelled to adopt tools that offer precision, scalability, and adaptability. The integration of real-time analytics, coupled with dynamic risk assessment frameworks, empowers businesses to anticipate fraud patterns and swiftly counteract emerging trends. This introductory overview sets the stage for a thorough analysis of key market segments, regional dynamics, and strategic insights that can inform future investments in predictive fraud detection technologies.

Transformative Shifts Redefining the Fraud Detection Landscape

Recent years have witnessed radical transformations in fraud detection methodologies. The industry is shifting away from traditional rule-based systems and embracing the transformative power of predictive analytics. Organizations are increasingly relying on sophisticated algorithms that not only analyze historical data but also detect subtle patterns and anomalies in real time.

Technological advancements have ushered in a new era where machine learning and statistical modeling are at the forefront of fraud prevention. This paradigm shift is characterized by improved accuracy, faster threat recognition, and a nuanced understanding of evolving risk vectors. Companies are now able to integrate vast amounts of diverse data - ranging from transactional records to behavioral analytics - into comprehensive risk management frameworks. The shift is further accelerated by the increasing adoption of cloud-based platforms that offer greater computational power and scalability.

In addition to technological innovations, regulatory changes and heightened consumer awareness have dramatically influenced the operational environment. Businesses are compelled to adopt predictive fraud detection systems not only for their operational efficiency but also to maintain trust and reliability among stakeholders. Collaborative initiatives between technology providers and financial institutions are fostering the development of interoperable systems that can quickly adapt to the latest fraud trends, ensuring continuous improvement and robust defense mechanisms against fraudulent activity.

This evolving landscape calls for a strategic reevaluation of legacy systems and an embracement of forward-thinking solutions that can adeptly navigate the complexities of modern fraud dynamics.

Deep Dive into Market Segmentation Insights

A comprehensive analysis of the predictive fraud detection market reveals meticulously structured segmentation that illuminates key growth drivers and usage patterns. The market is first segmented based on offering, where both services and software solutions play crucial roles in empowering organizations to proactively manage fraud risks. This dichotomy enables companies to choose a model that best fits their operational capacities and budgetary constraints.

Further segmentation based on component breaks down the market into integral parts such as data extraction and integration, risk management, and statistical modeling and machine learning. Each component is instrumental in constructing a holistic fraud detection framework. The interplay between data acquisition and advanced analytical tools provides actionable insights, enabling businesses to anticipate fraudulent activities with heightened precision.

Segmenting the market by deployment mode reveals the competing dynamics between cloud and on-premises solutions. While cloud technology offers agility, scalability, and lower upfront costs, on-premises systems are often favored by organizations that require stringent data control and heightened security measures. Additionally, segmentation based on enterprise size distinguishes large enterprises from small and medium enterprises, recognizing the unique requirements and risk appetites that vary with scale.

Finally, the industry domain segmentation covers a diverse array of sectors, including banking, financial services and insurance; government and defense; healthcare; industrial and manufacturing; IT and telecommunications; and retail and e-commerce. This broad spectrum underscores the universal challenges of fraud and the custom-tailored strategies employed across varying landscapes. Each segmentation element highlights the complexity and adaptability of predictive fraud detection systems in addressing distinct market needs.

Based on Offering, market is studied across Services and Software.

Based on Component, market is studied across Data Extraction & Integration, Risk Management, and Statistical Modeling & Machine Learning.

Based on Deployment Mode, market is studied across Cloud and On Premises.

Based on Enterprise Size, market is studied across Large Enterprises and Small & Medium Enterprises.

Based on Industry Domain, market is studied across Banking, Financial Services, and Insurance, Government & Defense, Healthcare, Industrial & Manufacturing, IT & Telecommunications, and Retail & E-Commerce.

Regional Trends Shaping Predictive Fraud Detection

The predictive fraud detection market exhibits distinctive regional dynamics that are influenced by varying regulatory environments, technological readiness, and economic conditions. In the Americas, a robust financial infrastructure combined with a strong drive towards digital transformation has spurred rapid adoption of advanced fraud detection systems. Businesses in this region benefit from mature data ecosystems and established cybersecurity protocols, which collectively fuel the deployment of innovative solutions.

In the region encompassing Europe, the Middle East, and Africa, heightened regulatory scrutiny and consumer protection mandates are driving investments in state-of-the-art fraud detection mechanisms. European markets, in particular, are witnessing accelerated adoption of integrated risk management frameworks that align with stringent data privacy laws. Meanwhile, emerging economies in the Middle East and Africa are increasingly recognizing the value of predictive technologies to safeguard their digital financial landscapes, thereby fostering an environment ripe for technological innovation.

The Asia-Pacific region is emerging as a formidable player in the adoption of predictive fraud detection systems. Rapid urbanization, expanding digital payment ecosystems, and a growing e-commerce sector are encouraging organizations to integrate advanced analytics into their operations. The region's dynamic economic growth, coupled with government support for technological innovation, has led to the development and implementation of tailor-made fraud detection solutions that cater to local market complexities.

Collectively, these regional insights underscore the necessity for businesses to consider both global best practices and localized regulatory and technological trends when formulating strategies for fraud detection and risk management.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Benchmarking Industry Leaders and Technological Innovators

The competitive landscape in the predictive fraud detection sphere is marked by an array of pioneering companies that are continuously pushing the envelope of technological innovation. Industry trailblazers such as ACI Worldwide, Inc. and Amani Ai are leading efforts to integrate advanced algorithmic models into fraud detection systems. Companies like BAE Systems and BioCatch Ltd. have made significant strides in building robust, multi-layered defense frameworks that seamlessly combine technological acuity with operational resilience.

The domain further benefits from the strategic insights of Bottomline Technologies, Inc. and Caseware International Inc., which have been instrumental in designing systems that effectively balance risk management with user convenience. Innovative players such as DataVisor, Inc. have introduced disruptive models that leverage unsupervised machine learning to detect subtle anomalies in transactional data. Equifax Inc. and Fiserv, Inc. contribute vast amounts of consumer data and analytical expertise, reinforcing the credibility and efficacy of these systems.

IBM Corporation, Incognia, and LexisNexis Risk Solution are renowned for their data-centric approaches, while heavyweights like Microsoft Corporation and NICE Ltd. continue to innovate with scalable, cloud-based solutions. Complementing these efforts are forward-thinking firms including NoFraud, Oracle Corporation, and Riskified Ltd. which bring an agile methodology to fraud prevention. Sagitec Solutions, SAP SE, and SEON Technologies Ltd. further enrich the landscape by providing customized solutions that cater to the unique requirements of diverse industries. Additional contributions from SHIELD AI Technologies Pte. Ltd., Signifyd, Inc., SpyCloud Inc., Thales S.A., Tookitaki Holding Pte. Ltd, and XTN Cognitive Security S.r.l. ensure that the market remains competitive and equipped to respond to emerging threats with cutting-edge innovations.

These industry leaders set benchmarks in operational excellence and technological prowess, driving continuous evolution across the predictive fraud detection market.

The report delves into recent significant developments in the Predictive Fraud Detection Systems Market, highlighting leading vendors and their innovative profiles. These include ACI Worldwide, Inc., Amani Ai, BAE Systems, BioCatch Ltd., Bottomline Technologies, Inc., Caseware International Inc., DataVisor, Inc., Equifax Inc., Fiserv, Inc., IBM Corporation, Incognia, LexisNexis Risk Solution, Microsoft Corporation, NICE Ltd., NoFraud, Oracle Corporation, Riskified Ltd., Sagitec Solutions, SAP SE, SEON Technologies Ltd., SHIELD AI Technologies Pte. Ltd., Signifyd, Inc., SpyCloud Inc., Thales S.A., Tookitaki Holding Pte. Ltd, and XTN Cognitive Security S.r.l.. Actionable Recommendations for Future-Proofing Fraud Detection

For industry leaders looking to fortify their defenses against fraud, a strategic recalibration is essential. Decision-makers should focus on integrating advanced analytics into existing security infrastructures, thereby creating adaptive systems capable of evolving alongside fraudulent methodologies. Investing in scalable cloud-based solutions and leveraging machine learning models can significantly enhance detection accuracy and reduce response times.

Leaders are encouraged to continuously monitor and assess the performance of their predictive systems, ensuring alignment with dynamic market trends. Collaboration with technology innovators and cross-industry partnerships will play a pivotal role in staying ahead of emerging threats. Additionally, organizations must invest in workforce training and development to better interpret data insights and implement proactive measures effectively.

A clear commitment to upgrading legacy systems and incorporating comprehensive risk management practices will not only safeguard financial assets but also bolster customer trust and brand integrity in a competitive marketplace.

Conclusion: Embracing a Data-Driven Future in Fraud Prevention

In summary, the evolution of predictive fraud detection systems represents a significant turning point for organizations across the globe. The shift from reactive to proactive, data-driven strategies is redefining how businesses perceive and combat fraudulent activities. By integrating sophisticated machine learning algorithms, harnessing big data analytics, and implementing cloud-based infrastructures, companies can achieve a strategic advantage and mitigate risk more effectively.

The detailed segmentation across offerings, components, deployment modes, enterprise sizes, and industry domains provides a clear roadmap for understanding diverse market needs. Coupled with keen insights drawn from various regional trends, organizations are better positioned to tailor their strategies to local challenges while benefiting from global best practices.

The competitive landscape, reinforced by a cadre of industry pioneers, continues to drive innovation within this space. As organizations embrace these technologies and strategies, they are not only protecting their financial interests but also setting new benchmarks for security and operational excellence. The future of fraud prevention is undoubtedly data-driven, and organizations that adapt proactively will continue to lead in this dynamic environment.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing sophistication of fraudulent activities necessitating robust detection systems
      • 5.1.1.2. Rising number of online payment transactions driving demand for advanced predictive fraud detection
      • 5.1.1.3. Regulatory scrutiny and stringent compliance requirements in the financial sector
    • 5.1.2. Restraints
      • 5.1.2.1. High implementation costs and integration challenges associated with predictive fraud detection systems
    • 5.1.3. Opportunities
      • 5.1.3.1. Integration with blockchain technology to enhance transparency and security in transactions
      • 5.1.3.2. Advancements in artificial intelligence and machine learning enhancing the effectiveness of predictive systems
    • 5.1.4. Challenges
      • 5.1.4.1. Concerns associated with data privacy and evolving fraud tactics
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Offering: Rising demand for predictive fraud detection software for real-time monitoring and automated pattern recognition
    • 5.2.2. Deployment Mode: Preference for cloud-based predictive fraud detection systems for dynamic scalability and cost efficiency
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Predictive Fraud Detection Systems Market, by Offering

  • 6.1. Introduction
  • 6.2. Services
  • 6.3. Software

7. Predictive Fraud Detection Systems Market, by Component

  • 7.1. Introduction
  • 7.2. Data Extraction & Integration
  • 7.3. Risk Management
  • 7.4. Statistical Modeling & Machine Learning

8. Predictive Fraud Detection Systems Market, by Deployment Mode

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. On Premises

9. Predictive Fraud Detection Systems Market, by Enterprise Size

  • 9.1. Introduction
  • 9.2. Large Enterprises
  • 9.3. Small & Medium Enterprises

10. Predictive Fraud Detection Systems Market, by Industry Domain

  • 10.1. Introduction
  • 10.2. Banking, Financial Services, and Insurance
  • 10.3. Government & Defense
  • 10.4. Healthcare
  • 10.5. Industrial & Manufacturing
  • 10.6. IT & Telecommunications
  • 10.7. Retail & E-Commerce

11. Americas Predictive Fraud Detection Systems Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Predictive Fraud Detection Systems Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Predictive Fraud Detection Systems Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Mozn launches enhanced FOCAL fraud prevention suite at LEAP 2025 to transform digital risk management sustainable fraud reductio
    • 14.3.2. Swift's new AI-powered fraud detection system leverages pseudonymized transaction data from billions of global records
    • 14.3.3. BioCatch's rule simulator enhances predictive intelligence by enabling real-time testing of fraud prevention rules to minimize false positives and optimize digital risk management
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ACI Worldwide, Inc.
  • 2. Amani Ai
  • 3. BAE Systems
  • 4. BioCatch Ltd.
  • 5. Bottomline Technologies, Inc.
  • 6. Caseware International Inc.
  • 7. DataVisor, Inc.
  • 8. Equifax Inc.
  • 9. Fiserv, Inc.
  • 10. IBM Corporation
  • 11. Incognia
  • 12. LexisNexis Risk Solution
  • 13. Microsoft Corporation
  • 14. NICE Ltd.
  • 15. NoFraud
  • 16. Oracle Corporation
  • 17. Riskified Ltd.
  • 18. Sagitec Solutions
  • 19. SAP SE
  • 20. SEON Technologies Ltd.
  • 21. SHIELD AI Technologies Pte. Ltd.
  • 22. Signifyd, Inc.
  • 23. SpyCloud Inc.
  • 24. Thales S.A.
  • 25. Tookitaki Holding Pte. Ltd
  • 26. XTN Cognitive Security S.r.l.

LIST OF FIGURES

  • FIGURE 1. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET MULTI-CURRENCY
  • FIGURE 2. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET MULTI-LANGUAGE
  • FIGURE 3. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET RESEARCH PROCESS
  • FIGURE 4. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET DYNAMICS
  • TABLE 7. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DATA EXTRACTION & INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY STATISTICAL MODELING & MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ON PREMISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY BANKING, FINANCIAL SERVICES, AND INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY GOVERNMENT & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRIAL & MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY IT & TELECOMMUNICATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 28. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 33. ARGENTINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 34. ARGENTINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 37. ARGENTINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 38. BRAZIL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 39. BRAZIL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 42. BRAZIL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 46. CANADA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 47. CANADA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 49. MEXICO PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 50. MEXICO PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 51. MEXICO PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 52. MEXICO PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 53. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 54. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 55. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 56. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 57. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 58. UNITED STATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 59. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 60. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 61. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 62. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 63. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 64. ASIA-PACIFIC PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 65. AUSTRALIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 66. AUSTRALIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 67. AUSTRALIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 68. AUSTRALIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 69. AUSTRALIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 70. CHINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 71. CHINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 72. CHINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 73. CHINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 74. CHINA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 75. INDIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 76. INDIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 77. INDIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 78. INDIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 79. INDIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 80. INDONESIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 81. INDONESIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 82. INDONESIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 83. INDONESIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 84. INDONESIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 85. JAPAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 86. JAPAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 87. JAPAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 88. JAPAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 89. JAPAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 90. MALAYSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 91. MALAYSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 92. MALAYSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 93. MALAYSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 94. MALAYSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 95. PHILIPPINES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 96. PHILIPPINES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 97. PHILIPPINES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 98. PHILIPPINES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 99. PHILIPPINES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 100. SINGAPORE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 101. SINGAPORE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 102. SINGAPORE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 103. SINGAPORE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 104. SINGAPORE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 105. SOUTH KOREA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 106. SOUTH KOREA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 107. SOUTH KOREA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 108. SOUTH KOREA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 109. SOUTH KOREA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 110. TAIWAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 111. TAIWAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 112. TAIWAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 113. TAIWAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 114. TAIWAN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 115. THAILAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 116. THAILAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 117. THAILAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 118. THAILAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 119. THAILAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 120. VIETNAM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 121. VIETNAM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 122. VIETNAM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 123. VIETNAM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 124. VIETNAM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 125. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 126. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 127. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 128. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 129. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 130. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 131. DENMARK PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 132. DENMARK PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 133. DENMARK PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 134. DENMARK PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 135. DENMARK PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 136. EGYPT PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 137. EGYPT PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 138. EGYPT PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 139. EGYPT PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 140. EGYPT PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 141. FINLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 142. FINLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 143. FINLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 144. FINLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 145. FINLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 146. FRANCE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 147. FRANCE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 148. FRANCE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 149. FRANCE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 150. FRANCE PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 151. GERMANY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 152. GERMANY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 153. GERMANY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 154. GERMANY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 155. GERMANY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 156. ISRAEL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 157. ISRAEL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 158. ISRAEL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 159. ISRAEL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 160. ISRAEL PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 161. ITALY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 162. ITALY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 163. ITALY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 164. ITALY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 165. ITALY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 166. NETHERLANDS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 167. NETHERLANDS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 168. NETHERLANDS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 169. NETHERLANDS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 170. NETHERLANDS PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 171. NIGERIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 172. NIGERIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 173. NIGERIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 174. NIGERIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 175. NIGERIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 176. NORWAY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 177. NORWAY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. NORWAY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 179. NORWAY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 180. NORWAY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 181. POLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 182. POLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 183. POLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 184. POLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 185. POLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 186. QATAR PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 187. QATAR PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 188. QATAR PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 189. QATAR PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 190. QATAR PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 191. RUSSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 192. RUSSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 193. RUSSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 194. RUSSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 195. RUSSIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 196. SAUDI ARABIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 197. SAUDI ARABIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 198. SAUDI ARABIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 199. SAUDI ARABIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 200. SAUDI ARABIA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 201. SOUTH AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 202. SOUTH AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 203. SOUTH AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 204. SOUTH AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 205. SOUTH AFRICA PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 206. SPAIN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 207. SPAIN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 208. SPAIN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 209. SPAIN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 210. SPAIN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 211. SWEDEN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 212. SWEDEN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 213. SWEDEN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 214. SWEDEN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 215. SWEDEN PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 216. SWITZERLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 217. SWITZERLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 218. SWITZERLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 219. SWITZERLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 220. SWITZERLAND PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 221. TURKEY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 222. TURKEY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 223. TURKEY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 224. TURKEY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 225. TURKEY PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 226. UNITED ARAB EMIRATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 227. UNITED ARAB EMIRATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 228. UNITED ARAB EMIRATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 229. UNITED ARAB EMIRATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 230. UNITED ARAB EMIRATES PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 231. UNITED KINGDOM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 232. UNITED KINGDOM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 233. UNITED KINGDOM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 234. UNITED KINGDOM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 235. UNITED KINGDOM PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SIZE, BY INDUSTRY DOMAIN, 2018-2030 (USD MILLION)
  • TABLE 236. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 237. PREDICTIVE FRAUD DETECTION SYSTEMS MARKET, FPNV POSITIONING MATRIX, 2024