不正予測検知システム市場：提供サービス、コンポーネント、展開形態、企業規模、産業分野別-2025-2030年世界予測

不正予測検知システム市場は、2024年には164億8,000万米ドルとなり、2025年には206億2,000万米ドル、CAGR 25.59%で成長し、2030年には647億2,000万米ドルに達すると予測されています。

ペースの速い今日のデジタル時代において、さまざまな業種の組織は、ますます巧妙化する詐欺行為の脅威に常にさらされています。サイバー犯罪者が高度なテクニックを駆使し、脆弱性を悪用する中、予測型不正検知システムの必要性はかつてないほど高まっています。このエグゼクティブサマリーでは、新たなテクノロジーと革新的な分析アプローチを組み合わせることで、企業が財務リスクや風評リスクから身を守る方法をどのように変革しつつあるかについて詳しく解説します。

不正検知の進化は、リアクティブな手法からプロアクティブなデータ主導型戦略へと移行しています。最新のシステムは、人工知能、機械学習、ビッグデータ分析の力を活用し、潜在的脅威が重大な損失に発展する前に予測します。このシフトは、組織の回復力を強化するだけでなく、規制コンプライアンスやリスク管理プロセスの効率を高める。

各分野で急速なデジタル変革が進む中、意思決定者は精度、拡張性、適応性を備えたツールの導入を迫られています。リアルタイム・アナリティクスとダイナミックなリスク評価フレームワークの統合により、企業は不正のパターンを予測し、新たな動向に迅速に対処できるようになります。この入門的概要は、主要市場セグメント、地域力学、および予測的不正検知テクノロジーへの今後の投資に役立つ戦略的洞察に関する徹底的な分析のための舞台を整えるものです。

不正検知の情勢を再定義する変革的変化

近年、不正検知の手法が根本的に変化しています。業界は伝統的なルールベースのシステムから脱却し、予測分析の変革力を受け入れつつあります。組織は、過去のデータを分析するだけでなく、微妙なパターンや異常をリアルタイムで検出する高度なアルゴリズムへの依存を強めています。

技術の進歩により、機械学習と統計モデリングが不正防止の最前線に立つ新時代が到来しました。このパラダイムシフトの特徴は、精度の向上、脅威の迅速な認識、進化するリスクベクトルの微妙な理解です。企業は現在、取引記録から行動分析に至るまで、膨大な量の多様なデータを包括的なリスク管理フレームワークに統合することができます。このシフトは、より高い計算能力とスケーラビリティを提供するクラウドベースのプラットフォームの採用増加によってさらに加速しています。

技術革新に加え、規制の変更と消費者意識の高まりは、業務環境に劇的な影響を及ぼしています。企業は、業務効率のためだけでなく、利害関係者の信頼と信用を維持するためにも、不正予測検知システムの導入を余儀なくされています。テクノロジー・プロバイダーと金融機関との協力的な取り組みにより、最新の不正動向に迅速に対応できる相互運用可能なシステムの開発が促進され、不正行為に対する継続的な改善と強固な防御メカニズムが確保されています。

この進化する情勢は、レガシーシステムを戦略的に再評価し、現代の複雑な不正行為の力学を巧みに操ることができる先進的なソリューションを受け入れることを求めています。

市場セグメンテーションの深い洞察

予測型不正検知市場の包括的な分析により、主要な成長促進要因と利用パターンを明らかにする綿密に構造化されたセグメンテーションが明らかになります。市場はまず、サービスおよびソフトウェアソリューションの両方が、組織が不正リスクをプロアクティブに管理できるようにする上で重要な役割を果たす、提供物に基づいてセグメンテーションされます。この二分化により、企業は自社の業務能力や予算の制約に最も適したモデルを選択することができます。

コンポーネントに基づいてさらに細分化すると、市場はデータ抽出と統合、リスク管理、統計モデリングと機械学習などの不可欠な部分に分けられます。各コンポーネントは、全体的な不正検知フレームワークを構築する上で重要な役割を果たします。データ取得と高度な分析ツールの相互作用により、実用的な洞察が得られるため、企業は不正行為を高い精度で予測できるようになります。

市場を導入形態別に分類すると、クラウドソリューションとオンプレミスソリューションの競合関係が明らかになります。クラウド技術は俊敏性、拡張性、初期コストの低さを提供する一方、オンプレミスシステムは厳格なデータ管理と高度なセキュリティ対策を必要とする組織に好まれることが多いです。さらに、企業規模に基づくセグメンテーションでは、大企業と中小企業を区別し、規模によって異なる独自の要件とリスク許容度を認識しています。

最後に、業種別セグメンテーションでは、銀行・金融サービス・保険、政府・防衛、ヘルスケア、産業・製造、IT・通信、小売・eコマースなど、多様なセクターをカバーしています。この広範な領域は、不正行為の普遍的な課題と、さまざまな情勢下で採用されるカスタムメイドの戦略を浮き彫りにしています。それぞれのセグメンテーション要素は、異なる市場ニーズに対応するための予測型不正検知システムの複雑さと適応性を浮き彫りにしています。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 詐欺行為の巧妙化が進み、強力な検出システムが必要となっている
    • オンライン決済取引の増加により、高度な予測不正検出の需要が高まっています。
    • 金融セクターにおける規制監視と厳格なコンプライアンス要件
  • 抑制要因
    • 不正予測検知システムに関連する高い実装コストと統合の課題
  • 機会
    • ブロックチェーン技術との統合により、取引の透明性とセキュリティを強化
    • 人工知能と機械学習の進歩により予測システムの有効性が高まる
  • 課題
    • データのプライバシーと進化する詐欺行為に関する懸念
• 市場セグメンテーション分析
  • 提供内容：リアルタイム監視と自動パターン認識のための予測不正検出ソフトウェアの需要の高まり
  • 展開モード：動的なスケーラビリティとコスト効率のためにクラウドベースの不正予測検知システムを優先
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 不正予測検知システム市場：提供別

• サービス
• ソフトウェア

第7章 不正予測検知システム市場：コンポーネント別

• データの抽出と統合
• リスク管理
• 統計モデリングと機械学習

第8章 不正予測検知システム市場：展開モード別

• クラウド
• オンプレミス

第9章 不正予測検知システム市場：企業規模別

• 大企業
• 中小企業

第10章 不正予測検知システム市場業界分野別

• 銀行、金融サービス、保険
• 政府と防衛
• ヘルスケア
• 工業・製造業
• ITおよび通信
• 小売・eコマース

第11章 南北アメリカの不正予測検知システム市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第12章 アジア太平洋地域の不正予測検知システム市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第13章 欧州・中東・アフリカの不正予測検知システム市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第14章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• 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
• 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

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.

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.