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1677131

詐欺預測與檢測系統市場：2025-2030 年全球預測（按服務提供、組件、部署類型、公司規模和行業細分）

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個工作天內

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詐欺預測和偵測系統市場預計到 2024 年將達到 164.8 億美元，到 2025 年將達到 206.2 億美元，複合年成長率為 25.59%，到 2030 年將達到 647.2 億美元。

主要市場統計數據
基準年 2024 年 164.8億美元
預計 2025 年 206.2億美元
預測年份 2030 647.2億美元
複合年成長率（%） 25.59％

在當今快節奏的數位時代，各行各業的組織都面臨著日益複雜的詐騙的持續威脅。隨著網路犯罪分子不斷使用先進技術並利用漏洞，對預測詐欺偵測系統的需求從未如此強烈。本執行摘要說明了新技術如何與創新分析方法結合，改變企業防範財務和聲譽風險的方式。

詐欺偵測正在從被動技術轉變為主動資料主導的策略。現代系統利用人工智慧、機器學習和巨量資料分析的力量來預測潛在威脅，以免造成重大損失。這種轉變不僅會使組織更具彈性，還會提高監管合規和風險管理流程的效率。

每個領域的快速數位轉型迫使決策者採用準確、擴充性且適應性強的工具。即時分析和動態風險評估框架的結合使企業能夠預測詐欺模式並快速應對新興趨勢。本概述為全面分析關鍵細分市場、區域動態和策略見解奠定了基礎，為未來對預測詐欺偵測技術的投資提供資訊。

重新定義詐欺檢測格局的變革

近年來，詐欺檢測方法發生了根本性的變化。各行各業正在擺脫傳統的基於規則的系統，並擁抱預測分析的變革力量。組織越來越依賴先進的演算法，這些演算法不僅可以分析歷史資料，還可以即時檢測細微的模式和異常。

科技的進步開啟了一個新時代，機器學習和統計建模處於詐欺預防的最前沿。這種模式轉移的特點是準確性提高、威脅識別速度加快、以及對不斷變化的風險載體有更細緻的理解。公司現在可以將大量不同的資料（從交易記錄到行為分析）整合到綜合風險管理框架中。隨著雲端基礎的日益普及，這種轉變進一步加速，因為雲端平台提供了更強大的運算能力和可擴展性。

技術創新、監管變化和消費者意識的增強正在極大地影響業務環境。公司被迫採用詐欺預測和偵測系統，不僅是為了提高業務效率，也是為了維護相關人員的信任和信心。技術供應商和金融機構之間的協作努力促進了可互操作系統的發展，該系統可以快速響應最新的詐欺趨勢，確保持續改進和強大的防詐欺機制。

這種不斷變化的情況要求對舊有系統進行策略性重新評估，並採取能夠應對現代詐欺複雜動態的前瞻性解決方案。

深入了解市場區隔

對預測詐欺偵測市場的全面分析揭示了精心建構的細分市場，揭示了關鍵的成長動力和使用模式。市場最初根據產品進行細分，服務和軟體解決方案在幫助組織主動管理詐欺風險方面發揮關鍵作用。這種二分法使得公司能夠選擇最適合其業務能力和預算限制的模式。

根據組件進一步細分，市場分為資料提取和整合、風險管理、統計建模和機器學習等組成部分。每個元件在建立整體詐欺偵測框架中都發揮著至關重要的作用。資料擷取和進階分析工具之間的相互作用可提供可操作的見解，使企業能夠高度準確地預測詐欺活動。

按部署類型細分市場突顯了雲端和內部部署解決方案之間的競爭動態。雖然雲端技術提供了靈活性、擴充性和較低的前期成本，但需要嚴格資料控制和進階安全措施的組織通常更喜歡內部部署系統。此外，基於公司規模的細分可以區分大型企業和小型企業，並認知到不同規模所具有的獨特需求和風險接受度。

最後，產業垂直細分涵蓋各個領域，包括銀行、金融服務和保險、政府和國防、醫療保健、工業和製造業、IT 和通訊、以及零售和電子商務。這種廣泛的範圍凸顯了詐欺的普遍挑戰以及在不同情況下採用的自訂策略。每個細分因素都凸顯了預測詐欺偵測系統的複雜性和適應性，以滿足不同的市場需求。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 詐騙活動變得越來越複雜，需要更強大的偵測系統
      • 網路付款交易的成長推動了對進階預測詐騙偵測的需求。
      • 金融領域的監理監督和嚴格合規要求
    • 限制因素
      • 詐欺預測和檢測系統相關的高實施成本和整合挑戰
    • 機會
      • 與區塊鏈技術整合，增強交易透明度和安全性
      • 人工智慧和機器學習的進步將提高預測系統的有效性
    • 任務
      • 對資料隱私和不斷演變的詐騙行為的擔憂
  • 市場區隔分析
    • 功能：用於即時監控和自動模式識別的預測性詐騙偵測軟體的需求不斷成長
    • 部署模式：首選雲端基礎的詐欺詐欺偵測系統，以實現動態可擴展性和成本效益
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

第 6 章詐欺預測與偵測系統市場（依產品分類）

  • 服務
  • 軟體

第7章詐欺預測與檢測系統市場組成部分

  • 資料擷取與整合
  • 風險管理
  • 統計建模和機器學習

第 8 章詐欺預測和偵測系統市場（按部署模式）

  • 雲
  • 本地

第9章詐欺預測和偵測系統市場（按公司規模）

  • 大型企業
  • 中小企業

第 10 章詐欺預測與偵測系統市場（按行業細分）

  • 銀行、金融服務和保險
  • 政府和國防
  • 衛生保健
  • 工業/製造業
  • 資訊科技和通訊
  • 零售與電子商務

詐欺11 章。

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第 12 章 亞太地區詐欺預測與偵測系統市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第 13詐欺。

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第14章 競爭格局

  • 2024 年市場佔有率分析
  • FPNV 定位矩陣，2024 年
  • 競爭情境分析
  • 戰略分析與建議

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