eコマース不正検知・防止市場：不正の種類、組織規模、産業、展開別-2024-2030年の世界予測

eコマース不正検知・防止市場規模は、2023年に479億3,000万米ドルと推定され、2024年には575億1,000万米ドルに達し、CAGR 21.45%で2030年には1,868億2,000万米ドルに達すると予測されます。

eコマース詐欺の検出と防止とは、デジタル空間で発生しうる不正取引や様々な形態の詐欺行為から保護するために、オンラインビジネスが実施する戦略、ソリューション、プロセスを指します。オンライン取引の増加に伴い、消費者と企業の双方に金銭的被害が及ぶ前に不正行為を特定することを目的とした、こうした対策の重要性が高まっています。インターネット、モバイル商取引、デジタル決済手段の普及が進むにつれ、高度な不正防止メカニズムの必要性が加速しています。企業が業務と顧客データを保護するために先進技術への投資を続けていることから、市場はさらに拡大すると予想されます。しかし、過敏になりすぎた不正検知システムは誤検知率を高め、顧客満足度や売上に影響を与える可能性があります。市場開拓企業は、新たな詐欺の手口を予測し、それに対抗するための適応型自己学習システムの開発に取り組んでいます。また、ユーザー認証プロセスを強化するため、指紋や顔認識などの生体認証技術の利用も模索しています。ブロックチェーンを活用して分散化された透明性の高い取引記録を作成することで、詐欺を発見しやすく、実行しにくくすることができます。

詐欺の種類Eコマースでの購入件数の増加に伴い、フィッシングやなりすましの事例が増加

カーディングとも呼ばれるカードテストは、犯罪者がウェブサイト上で盗まれたクレジットカード番号の有効性をテストする詐欺の一種です。犯罪者は、カード情報が有効で有効であることを確認するために、目立たないように少額の買い物をします。成功した場合、これらの有効なカードは、その後、より大きな詐欺的取引を実行するために使用されるか、ブラックマーケットで販売されます。クレジットカード詐欺は、通常、カード所有者の認識や同意なしに、クレジットカードを不正に使用し、買物や資金の引き出しを行うものです。これは、カードの盗難、データ漏洩によるカード情報の漏洩、偽造カードの使用によって発生します。友好的詐欺は、顧客がクレジットカードでオンラインショッピングを行い、購入した商品やサービスを受け取った後に、発行銀行にチャージバックを請求し、商品を受け取っていない、または説明と異なると虚偽の主張をする場合に発生します。個人情報窃盗は、詐欺師が被害者になりすます目的で、社会保障番号、生年月日、住所などの個人情報を盗む重大な犯罪です。この情報は、新規口座の開設、金融サービスへのアクセス、クレジット申請などの取引に不正に使用され、すべて被害者の名義で行われるため、経済的・風評的に深刻な損害を被る可能性があります。マーチャント詐欺（売り手詐欺）は、不誠実な加盟店や企業が意図的に顧客や銀行、決済代行会社を欺く行為です。これは、購入した商品を届けなかったり、偽造品や虚偽の商品を提供したり、顧客の支払い情報を悪用するなどの形をとります。その結果、チャージバックや商品の紛失が発生し、オンライン小売環境に対する信頼が低下する可能性があります。フィッシングとは、個人を特定できる情報、銀行やクレジットカードの詳細、パスワードなどの機密データを提供するよう個人を誘い出すために、正規の機関を装った人物から電子メール、電話、テキストメッセージで連絡を受けるサイバー犯罪です。これらの情報は、重要な口座にアクセスするために使用され、個人情報の盗難や金銭的損失につながる可能性があります。払い戻し詐欺は、顧客が不当な払い戻しを受けるために、eコマース業者に不正な請求を行うことで発生します。商品を受け取っていないと主張したり、使用済みまたは改ざんされた商品を返品したり、元の商品やその価値を保持したまま商品の払い戻しを受けるために他の不正行為を行うことがあります。

組織のタイプ大企業向けの包括的なeコマース詐欺検出プランの必要性

大企業とは通常、広範な製品ライン、世界な市場展開、大規模な運営能力を持つ大企業を指します。このような組織では、不正の検知と防止に専念するために、確立された社内部門、高度なソフトウェアソリューション、専門的な人材、不正分析用の広範なデータベースへのアクセスなど、多大なリソースを有していることがよくあります。大企業は、より大量のトランザクションの管理、膨大な顧客データの保護、より複雑な多国籍詐欺スキームへの対応など、独自の課題に直面しています。中小企業（SMEs）とは、従業員数と総収入が一定の限度を下回る企業を指します。大企業に比べ、中小企業は不正検知のための予算が少額であることが多く、社内に大規模な不正防止チームを設置する規模がない場合もあります。中小企業は一般的に、統合と保守が簡単で、費用対効果が高く、拡張性のある不正防止ソリューションを必要としています。中小企業は、特定のリスクプロファイルに合わせたアプローチを提供するユーザーフレンドリーな不正検知ソフトウェアを優先する可能性があります。中小企業は、強固な不正防止対策と、顧客維持と事業成長に不可欠な円滑な顧客体験の維持のバランスを取る必要があります。

業界銀行・小売業界における高度な不正検知・防止へのニーズが急増

銀行、金融サービス、保険機関は、オンライン取引の安全性、顧客データの保護、規制コンプライアンスの維持のため、不正検知・防止に大きく依存しています。高度なアナリティクスと機械学習は、トランザクションを監視し、疑わしいアクティビティにフラグを立てるために使用されます。小売業者やeコマース・プラットフォームは、不正購入、チャージバック、個人情報の盗難を防ぐために不正防止システムを採用し、顧客の安全なショッピング体験を確保しています。オンライン予約プラットフォーム、航空会社、ホテルは、不正検知を利用して、偽の予約、クレジットカード詐欺、ロイヤルティプログラムの悪用から保護し、正当な取引と顧客の信頼を確保しています。電気通信会社はこれらのシステムを利用して、不正なアカウント作成や加入詐欺を防止し、顧客アカウントへの不正アクセスから守っています。エネルギー・公益事業分野では、不正請求や不正アクセスに対抗するために不正検知システムを導入し、正確な請求とサービスの完全性を確保しています。ヘルスケアにおける不正検知は、保険金詐欺を防止し、患者データを保護し、規制を遵守するために不可欠です。政府機関は、なりすましや税金詐欺から保護し、公共サービス取引の安全を確保するため、不正防止戦略を採用しています。航空宇宙・防衛分野では、取引の安全確保、機密データの保護、スパイ行為やサプライチェーンの混乱からの保護のために、特殊な不正検知システムを活用しています。IT企業は、データ漏洩やシステム侵入から保護するため、サイバーセキュリティ戦略の一環として不正検知・防止メカニズムを組み込んでいます。教育プラットフォームは、入学不正の防止、授業料の支払いの保護、学生や職員の個人データの保護にこれらのシステムを活用しています。メディア・エンターテインメントは、コンテンツの不正コピー、アカウント共有、デジタル著作権侵害から保護するために不正検知を利用しています。製造業やサプライチェーンは、知的財産の窃盗、偽造品、金融詐欺を防止し、業務の完全性を確保するために不正検知を導入しています。自動車・運輸業界は、部品偽造や保証詐欺を防止し、販売やサービスのオンライン取引を安全に行うために、不正検知の手法を利用しています。不動産取引や建設プロジェクトの資金調達では、投資詐欺や不動産関連の詐欺を防止するため、詐欺防止システムを利用して安全性を確保しています。

展開：柔軟性と拡張性を向上させるクラウドベースのeコマース詐欺検知・防止が人気上昇中

クラウドベースのeコマース詐欺検知・防止システムの導入は、オンライン販売業者が悪質な行為から業務を保護することを可能にする、拡張性と柔軟性に優れたソリューションです。クラウドプラットフォームは、リアルタイムの不正分析、さまざまな取引量に対応できる即時の拡張性、継続的に更新される不正検出アルゴリズムへのアクセスを容易にします。クラウドサービスを活用することで、加盟店は初期費用を抑え、ITインフラへの投資を最小限に抑え、メンテナンスやアップデートを専門ベンダーに委託できるというメリットが得られます。さらに、クラウドベースのソリューションは通常、既存のeコマース・プラットフォームとシームレスに統合できるため、セットアップ・プロセスが合理化され、すぐに運用が可能になります。データやシステムを直接管理することを優先する企業にとっては、オンプレミス型のeコマース不正検知・防止ツールの導入が望ましいかもしれません。このアプローチでは、自社のIT環境内に不正検知ソフトウェアをインストールし、保守することになります。この場合、インフラへの多額の投資とシステム管理のための熟練した人材が必要になりますが、機密データに対する比類のない管理が可能になり、すべての情報が組織の境界内に保たれるようになります。オンプレミス・ソリューションは、コーポレート・ガバナンスや規制基準への完全な準拠を促進するため、厳格なコンプライアンス要件を持つ組織や、特定のデータ居住法がある地域で事業を行う組織に適しています。

地域別インサイト

南北アメリカ、特に米国とカナダでは、eコマース取引が多いため、不正検知・防止ツールが普及しています。この地域の小売業者やオンライン企業は、AIや機械学習技術を活用して顧客行動を分析し、不正行為を検知する高度な不正防止ソリューションに積極的に投資しています。南北アメリカの企業は技術革新の最前線にあり、不正検知能力を高め、高度なサイバー脅威から保護するための研究開発活動に力を入れています。APAC地域は、中国、日本、インド、オーストラリアなどの国々を筆頭に、eコマース活動が急速に拡大しています。APAC地域ではモバイルコマースが普及しているため、多くの企業がモバイルを中心とした不正防止戦略を採用しています。APACでは、不正防止ソリューションに対する需要の高まりに対応するため、現地企業が台頭しています。GDPRのような厳格なデータ保護法がある欧州諸国では、これらの規制に準拠した不正防止ソリューションが求められています。EMEAには、不正検知・防止ソフトウェアを製造する定評ある世界企業と中小の専門プロバイダーが混在しています。欧州諸国は、地域の規制に準拠した高品質でプライバシーを重視したソリューションを製造していることで知られています。中東・アフリカでは、不正検知の市場が立ち上がりつつあり、こうしたシステムの重要性を認識し始める企業が増えています。

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは、eコマース不正検知・防止市場の評価において極めて重要です。事業戦略や製品満足度に関連する主要指標を調査し、ベンダーの包括的な評価を提供します。この綿密な分析により、ユーザーは各自の要件に沿った十分な情報に基づいた意思決定を行うことができます。評価に基づき、ベンダーは成功の度合いが異なる4つの象限に分類されます：フォアフロント（F）、パスファインダー（P）、ニッチ（N）、バイタル（V）です。

市場シェア分析

市場シェア分析は、eコマース不正検知・防止市場におけるベンダーの現状について、洞察に満ちた詳細な調査を提供する包括的なツールです。全体的な収益、顧客基盤、その他の主要指標についてベンダーの貢献度を綿密に比較・分析することで、企業の業績や市場シェア争いの際に直面する課題について理解を深めることができます。さらに、この分析により、調査対象基準年に観察された累積、断片化の優位性、合併の特徴などの要因を含む、この分野の競合特性に関する貴重な考察が得られます。このような詳細レベルの拡大により、ベンダーはより多くの情報に基づいた意思決定を行い、市場で競争優位に立つための効果的な戦略を考案することができます。

本レポートは、以下の側面に関する貴重な洞察を提供しています：

1.市場の浸透度：主要企業が提供する市場に関する包括的な情報を提示しています。

2.市場の開拓度：有利な新興市場を深く掘り下げ、成熟市場セグメントにおける浸透度を分析しています。

3.市場の多様化：新製品の発売、未開拓の地域、最近の開発、投資に関する詳細な情報を提供します。

4.競合の評価と情報：市場シェア、戦略、製品、認証、規制状況、特許状況、主要企業の製造能力について徹底的な評価を行います。

5.製品開発およびイノベーション：将来の技術、研究開発活動、画期的な製品開発に関する知的洞察を提供します。

本レポートは、以下のような主要な質問に対応しています：

1.eコマース不正検知・防止市場の市場規模および予測は？

2.eコマース不正検知・防止市場の予測期間中に投資を検討すべき製品、セグメント、用途、分野は何か？

3.eコマース不正検知・防止市場の技術動向と規制枠組みは？

4.eコマース不正検知・防止市場における主要ベンダーの市場シェアは？

5.eコマース不正検知・防止市場への参入に適した形態や戦略的手段は？

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
    • 個人情報窃盗と商店詐欺の増加
    • eコマースプラットフォームにおける顧客基盤と取引の増加
  • 抑制要因
    • 熟練したセキュリティ専門家の認識と存在が限られている
  • 機会
    • 中小企業におけるオンラインビジネスの出現とセキュリティソリューションの導入
    • 高度な電子商取引不正検出システムのイントロダクション
  • 課題
    • 詐欺の複雑化
• 市場セグメンテーション分析
  • 詐欺の種類：電子商取引での購入の増加に伴い、フィッシングや個人情報の盗難が増加しています。
  • 組織タイプ：大企業向けの包括的な電子商取引詐欺検出計画の必要性
  • 業界：銀行業界と小売業界では、高度な不正検出と防止に対する需要が急増しています。
  • 導入：柔軟性と拡張性の向上を実現するクラウドベースの電子商取引詐欺検出と防止の人気が高まっています。
• 市場動向分析
• 高インフレの累積的影響
• ポーターのファイブフォース分析
• バリューチェーンとクリティカルパス分析
• 規制枠組みの分析
• 顧客のカスタマイズ

第6章 eコマース不正検知・防止市場詐欺の種類別

• カードテスト
• クレジットカード詐欺
• フレンドリー詐欺
• 個人情報の盗難
• 商人詐欺
• フィッシング
• 返金詐欺

第7章 eコマース不正検知・防止市場：組織規模別

• 大企業
• 中小企業

第8章 eコマース不正検知・防止市場：業界別

• 航空宇宙および防衛
• 自動車・輸送
• 銀行、金融サービス、保険
• 建築、建設、不動産
• 消費財・小売
• 教育
• エネルギー・公益事業
• 政府および公共部門
• ヘルスケアとライフサイエンス
• 情報技術
• 製造業
• メディアとエンターテイメント
• 通信
• 旅行・ホスピタリティ

第9章 eコマース不正検知・防止市場：展開別

• クラウド上
• オンプレミス

第10章 南北アメリカのeコマース不正検知・防止市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第11章 アジア太平洋地域のeコマース不正検知・防止市場

• 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12章 欧州・中東・アフリカのeコマース不正検知・防止市場

• 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13章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス、2023
• 競合シナリオ分析
  • ナマステクレジットがMicrosoft Azureと提携し、独自の不正検出機能を提供開始
  • CellPoint DigitalとRiskifiedが提携し、業界をリードする決済ソリューションで航空会社と旅行業者の不正防止を強化
  • AIを活用してチャージバック対策に取り組むチャージフローが1,400万米ドルを調達
  • マスターカードとベスタが提携し、アジア太平洋地域向けに強化されたデジタル詐欺検出ソリューションを提供

第14章 競合ポートフォリオ

• 主要企業プロファイル
• 主要製品ポートフォリオ

LIST OF FIGURES

• FIGURE 1. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET RESEARCH PROCESS
• FIGURE 2. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
• FIGURE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET DYNAMICS
• FIGURE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2023 VS 2030 (%)
• FIGURE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
• FIGURE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2023 VS 2030 (%)
• FIGURE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
• FIGURE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 15. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 16. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 17. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 18. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 19. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 20. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 23. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 24. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2018-2023 (USD MILLION)
• TABLE 4. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, 2024-2030 (USD MILLION)
• TABLE 5. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 6. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 7. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 8. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 9. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD TESTING, BY REGION, 2018-2023 (USD MILLION)
• TABLE 10. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CARD TESTING, BY REGION, 2024-2030 (USD MILLION)
• TABLE 11. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CREDIT CARD FRAUD, BY REGION, 2018-2023 (USD MILLION)
• TABLE 12. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CREDIT CARD FRAUD, BY REGION, 2024-2030 (USD MILLION)
• TABLE 13. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2018-2023 (USD MILLION)
• TABLE 14. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRIENDLY FRAUD, BY REGION, 2024-2030 (USD MILLION)
• TABLE 15. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2018-2023 (USD MILLION)
• TABLE 16. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY IDENTITY THEFT, BY REGION, 2024-2030 (USD MILLION)
• TABLE 17. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2018-2023 (USD MILLION)
• TABLE 18. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MERCHANT FRAUD, BY REGION, 2024-2030 (USD MILLION)
• TABLE 19. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2018-2023 (USD MILLION)
• TABLE 20. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY PHISHING, BY REGION, 2024-2030 (USD MILLION)
• TABLE 21. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2018-2023 (USD MILLION)
• TABLE 22. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY REFUND FRAUD, BY REGION, 2024-2030 (USD MILLION)
• TABLE 23. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 24. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 25. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2023 (USD MILLION)
• TABLE 26. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2024-2030 (USD MILLION)
• TABLE 27. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM-SIZED ENTERPRISES, BY REGION, 2018-2023 (USD MILLION)
• TABLE 28. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY SMALL & MEDIUM-SIZED ENTERPRISES, BY REGION, 2024-2030 (USD MILLION)
• TABLE 29. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 30. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 31. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 32. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 33. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2023 (USD MILLION)
• TABLE 34. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2024-2030 (USD MILLION)
• TABLE 35. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 36. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 37. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUILDING, CONSTRUCTION & REAL ESTATE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 38. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY BUILDING, CONSTRUCTION & REAL ESTATE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 39. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSUMER GOODS & RETAIL, BY REGION, 2018-2023 (USD MILLION)
• TABLE 40. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY CONSUMER GOODS & RETAIL, BY REGION, 2024-2030 (USD MILLION)
• TABLE 41. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY EDUCATION, BY REGION, 2018-2023 (USD MILLION)
• TABLE 42. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY EDUCATION, BY REGION, 2024-2030 (USD MILLION)
• TABLE 43. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2023 (USD MILLION)
• TABLE 44. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2024-2030 (USD MILLION)
• TABLE 45. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2023 (USD MILLION)
• TABLE 46. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2024-2030 (USD MILLION)
• TABLE 47. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2023 (USD MILLION)
• TABLE 48. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2024-2030 (USD MILLION)
• TABLE 49. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INFORMATION TECHNOLOGY, BY REGION, 2018-2023 (USD MILLION)
• TABLE 50. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INFORMATION TECHNOLOGY, BY REGION, 2024-2030 (USD MILLION)
• TABLE 51. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2023 (USD MILLION)
• TABLE 52. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MANUFACTURING, BY REGION, 2024-2030 (USD MILLION)
• TABLE 53. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2023 (USD MILLION)
• TABLE 54. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2024-2030 (USD MILLION)
• TABLE 55. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TELECOMMUNICATION, BY REGION, 2018-2023 (USD MILLION)
• TABLE 56. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TELECOMMUNICATION, BY REGION, 2024-2030 (USD MILLION)
• TABLE 57. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2023 (USD MILLION)
• TABLE 58. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2024-2030 (USD MILLION)
• TABLE 59. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 60. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 61. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2023 (USD MILLION)
• TABLE 62. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-CLOUD, BY REGION, 2024-2030 (USD MILLION)
• TABLE 63. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 64. GLOBAL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ON-PREMISE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 65. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 66. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 67. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 68. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 69. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 70. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 71. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 72. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 73. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 74. AMERICAS ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 75. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 76. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 77. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 78. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 79. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 80. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 81. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 82. ARGENTINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 83. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 84. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 85. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 86. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 87. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 88. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 89. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 90. BRAZIL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 91. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 92. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 93. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 94. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 95. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 96. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 97. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 98. CANADA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 99. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 100. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 101. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 102. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 103. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 104. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 105. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 106. MEXICO ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 107. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 108. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 109. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 110. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 111. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 112. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 113. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 114. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 115. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2018-2023 (USD MILLION)
• TABLE 116. UNITED STATES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY STATE, 2024-2030 (USD MILLION)
• TABLE 117. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 118. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 119. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 120. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 121. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 122. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 123. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 124. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 125. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 126. ASIA-PACIFIC ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 127. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 128. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 129. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 130. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 131. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 132. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 133. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 134. AUSTRALIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 135. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 136. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 137. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 138. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 139. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 140. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 141. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 142. CHINA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 143. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 144. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 145. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 146. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 147. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 148. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 149. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 150. INDIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 151. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 152. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 153. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 154. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 155. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 156. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 157. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 158. INDONESIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 159. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 160. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 161. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 162. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 163. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 164. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 165. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 166. JAPAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 167. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 168. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 169. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 170. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 171. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 172. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 173. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 174. MALAYSIA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 175. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 176. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 177. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 178. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 179. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 180. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 181. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 182. PHILIPPINES ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 183. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 184. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 185. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 186. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 187. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 188. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 189. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 190. SINGAPORE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 191. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 192. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 193. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 194. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 195. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 196. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 197. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 198. SOUTH KOREA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 199. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 200. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 201. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 202. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 203. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 204. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 205. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 206. TAIWAN ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 207. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 208. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 209. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 210. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 211. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 212. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 213. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 214. THAILAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 215. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 216. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 217. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 218. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 219. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 220. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 221. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 222. VIETNAM ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 223. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 224. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 225. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 226. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 227. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 228. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 229. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 230. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 231. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 232. EUROPE, MIDDLE EAST & AFRICA ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 233. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 234. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 235. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 236. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 237. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 238. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 239. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 240. DENMARK ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 241. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 242. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 243. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 244. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 245. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 246. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 247. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 248. EGYPT ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 249. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 250. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 251. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 252. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 253. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 254. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 255. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 256. FINLAND ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 257. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 258. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 259. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 260. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 261. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 262. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 263. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 264. FRANCE ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 265. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 266. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 267. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 268. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 269. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 270. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 271. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 272. GERMANY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 273. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 274. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 275. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 276. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 277. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 278. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILLION)
• TABLE 279. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2018-2023 (USD MILLION)
• TABLE 280. ISRAEL ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY DEPLOYMENT, 2024-2030 (USD MILLION)
• TABLE 281. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2018-2023 (USD MILLION)
• TABLE 282. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY FRAUD TYPE, 2024-2030 (USD MILLION)
• TABLE 283. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2023 (USD MILLION)
• TABLE 284. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY ORGANIZATION SIZE, 2024-2030 (USD MILLION)
• TABLE 285. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2018-2023 (USD MILLION)
• TABLE 286. ITALY ECOMMERCE FRAUD DETECTION & PREVENTION MARKET SIZE, BY INDUSTRY, 2024-2030 (USD MILL

[191 Pages Report] The eCommerce Fraud Detection & Prevention Market size was estimated at USD 47.93 billion in 2023 and expected to reach USD 57.51 billion in 2024, at a CAGR 21.45% to reach USD 186.82 billion by 2030.

eCommerce fraud detection and prevention refer to the strategies, solutions, and processes that online businesses implement to protect against unauthorized transactions and various forms of deceitful activities that can occur in the digital space. With the increasing volume of online transactions, the importance of these measures has been amplified, aiming to identify fraudulent behavior before financial harm is inflicted on both consumers and businesses. Increasing penetration of the internet, mobile commerce, and digital payment methods has accelerated the need for sophisticated fraud prevention mechanisms. The market is expected to grow further as businesses continue to invest in advanced technologies to safeguard their operations and customer data. However, overly sensitive fraud detection systems can lead to high rates of false positives, affecting customer satisfaction and sales. Market players are working on developing adaptive, self-learning systems to anticipate and counteract emerging fraud tactics. They are also exploring the use of fingerprint, facial recognition, and other biometric technologies to enhance user verification processes. Utilizing blockchain to create decentralized and transparent records of transactions can make frauds easier to detect and harder to perpetrate.

Fraud Type: Increasing cases of phishing and identity theft with the rising number of eCommerce purchases

Card testing, also known as carding, is a type of fraud where criminals test the validity of stolen credit card numbers on websites. They do this by making small, inconspicuous purchases to confirm that the card details are active and valid. If successful, these validated cards are then used to carry out larger fraudulent transactions or sold on the black market. Credit card fraud involves the unauthorized use of a credit card to make purchases or withdraw funds, typically without the knowledge or consent of the cardholder. This can occur as a result of card theft, the compromise of card details in data breaches, or through the use of counterfeit cards. Friendly fraud occurs when a customer makes an online purchase with their credit card and then requests a chargeback from the issuing bank after receiving the purchased goods or services, falsely claiming that they never received the item or that it was not as described. Identity theft is a serious offense where fraudsters steal personal information, such as social security numbers, dates of birth, or address details, with the intent to impersonate the victim. This information is then used unlawfully to open new accounts, access financial services, or engage in transactions such as applying for credit, all under the victim's name, potentially causing severe financial and reputational damage. Merchant fraud, or seller fraud, involves dishonest merchants or businesses intentionally defrauding customers, banks, or payment processors. This can take the form of failing to deliver purchased goods, providing counterfeit or misrepresented items, or misusing customer payment information. It can result in chargebacks, lost merchandise, and diminished trust in the online retail environment. Phishing is a cybercrime in which individuals are contacted by email, telephone, or text message by someone posing as a legitimate institution to lure individuals into providing sensitive data such as personally identifiable information, banking and credit card details, and passwords. This information is then used to access important accounts and can result in identity theft and financial loss. Refund fraud occurs when a customer deceitfully makes a claim to an eCommerce merchant to gain an unwarranted refund. They may claim the item was never received, return items that have been used or tampered with, or use other deceptive practices to receive a refund for goods while retaining the original product or its value.

Organization Type: Need for comprehensive eCommerce fraud detection plans for large enterprises

Large enterprises typically refer to substantial corporations with extensive product lines, global market reach, and large-scale operational capacities. These organizations often have significant resources dedicated to fraud detection and prevention, including well-established internal departments, sophisticated software solutions, specialized personnel, and access to extensive databases for fraud analysis. Large enterprises face unique challenges, such as managing a higher volume of transactions, protecting a vast amount of customer data, and dealing with more complex, multinational fraud schemes. Small and medium-sized enterprises (SMEs) are businesses whose personnel numbers and total revenue fall below certain limits. Compared to large enterprises, SMEs often operate with smaller budgets for fraud detection and may lack the scale for extensive in-house prevention teams. SMEs generally require cost-effective and scalable fraud prevention solutions that are simple to integrate and maintain. SMEs may prioritize user-friendly fraud detection software that offers a tailored approach to their specific risk profile. They must balance robust fraud prevention measures with maintaining a smooth customer experience, an essential factor for customer retention and business growth.

Industry: Exponential need for advanced fraud detection & prevention by banking and retail industries

Banking, financial services & insurance institutions heavily rely on fraud detection and prevention to secure online transactions, protect customer data, and maintain regulatory compliance. Advanced analytics and machine learning are used to monitor transactions and flag suspicious activity. Retailers and e-commerce platforms employ fraud prevention systems to safeguard against fraudulent purchases, chargebacks, and identity theft, thereby ensuring a secure shopping experience for customers. Online booking platforms, airlines, and hotels utilize fraud detection to protect against fake reservations, credit card fraud, and loyalty program abuses, ensuring legitimate transactions and customer trust. Telecom companies use these systems to prevent fraudulent account creations, and subscription frauds and protect against unauthorized access to customer accounts. The energy and utility sector implements fraud detection systems to combat billing fraud and unauthorized service access, ensuring accurate billing and service integrity. Fraud detection in healthcare is critical for preventing insurance fraud, protecting patient data, and ensuring compliance with regulations. Governmental entities employ fraud prevention strategies to protect against identity theft and tax fraud and to secure public service transactions. The aerospace and defense sector utilizes specialized fraud detection systems to secure transactions, safeguard sensitive data, and protect against espionage and supply chain disruptions. IT companies incorporate fraud detection and prevention mechanisms as part of their cybersecurity strategies to protect against data breaches and system intrusions. Educational platforms utilize these systems to prevent admissions fraud, safeguard tuition payments, and protect the personal data of students and staff. Media & entertainment uses fraud detection to protect against content piracy, account sharing, and digital rights violations. Manufacturers and supply chains implement fraud detection to prevent IP theft, counterfeit goods, and financial fraud, ensuring the integrity of their operations. Automotive & transportation industries use fraud detection methods to protect against parts counterfeiting and warranty fraud and to secure online transactions for sales and services. Real estate transactions and construction project funding are secured using fraud prevention systems to guard against investment fraud and property-related scams.

Deployment: Emerging popularity of cloud-based eCommerce fraud detection and prevention to attain improved flexibility and scalability

The deployment of cloud-based eCommerce fraud detection and prevention systems represents a scalable and flexible solution that enables online merchants to safeguard their operations against nefarious activities. Cloud platforms facilitate real-time fraud analysis, instant scalability to handle varying transaction volumes, and access to continuously updated fraud detection algorithms. By leveraging cloud services, merchants benefit from lower upfront costs, minimal IT infrastructure investment, and the ability to outsource maintenance and updates to specialized vendors. Additionally, cloud-based solutions typically offer seamless integration with existing eCommerce platforms, ensuring a streamlined setup process and immediate operational capability. For businesses prioritizing direct control over their data and systems, an on-premise deployment of eCommerce fraud detection and prevention tools may be preferable. This approach involves installing and maintaining the fraud detection software within the company's own IT environment. Although this requires a significant investment in infrastructure and skilled personnel for system management, it offers unparalleled control over sensitive data, ensuring that all information is kept within the organizational perimeter. On-premise solutions are well-suited for organizations with stringent compliance requirements or those operating in regions with specific data residency laws, as they facilitate full compliance with corporate governance and regulatory standards.

Regional Insights

In the Americas, especially in the United States and Canada, fraud detection and prevention tools are widespread due to the high volume of eCommerce transactions. Retailers and online businesses in this region actively invest in advanced fraud prevention solutions, utilizing AI and machine learning technologies to analyze customer behavior and detect fraudulent activities. Companies in the Americas are at the forefront of technological innovation, with a strong focus on R&D activities to advance fraud detection capabilities and protect against sophisticated cyber threats. The APAC region has seen a rapid increase in eCommerce activities, with countries such as China, Japan, India, and Australia leading the way. Many businesses in the APAC are now adopting mobile-centric fraud prevention strategies due to the prevalence of mobile commerce in this region. In APAC, local companies are emerging to meet the growing demand for fraud prevention solutions. European countries, with their stringent data protection laws such as GDPR, require fraud prevention solutions that comply with these regulations. EMEA hosts a mixture of established global companies and smaller, specialized providers that produce fraud detection and prevention software. European countries are known for producing high-quality, privacy-centric solutions that comply with regional regulations. In the Middle East and Africa, the market for fraud detection is emerging, with an increasing number of businesses beginning to recognize the importance of these systems.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the eCommerce Fraud Detection & Prevention Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the eCommerce Fraud Detection & Prevention Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the eCommerce Fraud Detection & Prevention Market, highlighting leading vendors and their innovative profiles. These include ACI Worldwide, Inc., Blackhawk Network Holdings, Inc., Bolt Financial, Inc., Chargeflow, Inc., ClearSale LLC, DXC Technology Company, Ekata, Equifax Inc., F5, Inc., Fiserv, Inc., Forter, Ltd., Fraud.com, Fraud.net Inc., Hexasoft Development Sdn. Bhd., Infosys Limited, International Business Machines Corporation, LexisNexis Risk Solutions Group, Lyra, MarkMonitor Inc., NortonLifeLock Inc., PayPal Holdings, Inc., Radial, Inc., Riskified, Ltd., RSA Security LLC, SEON Technologies Ltd., SHIELD AI Technologies Pte. Ltd., Sift Science, Inc., Signifyd Inc., Software AG, Stripe, Inc., Subuno, and TransUnion LLC.

Market Segmentation & Coverage

This research report categorizes the eCommerce Fraud Detection & Prevention Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Fraud Type
  • Card Testing
  • Credit Card Fraud
  • Friendly Fraud
  • Identity Theft
  • Merchant Fraud
  • Phishing
  • Refund Fraud

• Organization Size
  • Large Enterprises
  • Small & Medium-sized Enterprises

• Industry
  • Aerospace & Defense
  • Automotive & Transportation
  • Banking, Financial Services & Insurance
  • Building, Construction & Real Estate
  • Consumer Goods & Retail
  • Education
  • Energy & Utilities
  • Government & Public Sector
  • Healthcare & Life Sciences
  • Information Technology
  • Manufacturing
  • Media & Entertainment
  • Telecommunication
  • Travel & Hospitality

• Deployment
  • On-Cloud
  • On-Premise

• Region
  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • China
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Philippines
    • Singapore
    • South Korea
    • Taiwan
    • Thailand
    • Vietnam

• Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the eCommerce Fraud Detection & Prevention Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the eCommerce Fraud Detection & Prevention Market?

3. What are the technology trends and regulatory frameworks in the eCommerce Fraud Detection & Prevention Market?

4. What is the market share of the leading vendors in the eCommerce Fraud Detection & Prevention Market?

5. Which modes and strategic moves are suitable for entering the eCommerce Fraud Detection & Prevention Market?

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. Growing Number of Identity Theft and Merchant Scams
    • 5.1.1.2. Increasing Customer Base and Transactions on E-commerce Platforms
  • 5.1.2. Restraints
    • 5.1.2.1. Limited Awareness and Availability of the Skilled Security Professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Emergence of Online Businesses and Adoption of Security Solutions in SMEs
    • 5.1.3.2. Introduction of Advanced eCommerce Fraud Detection Systems
  • 5.1.4. Challenges
    • 5.1.4.1. Rising Complexity of Frauds
• 5.2. Market Segmentation Analysis
  • 5.2.1. Fraud Type: Increasing cases of phishing and identity theft with the rising number of eCommerce purchases
  • 5.2.2. Organization Type: Need for comprehensive eCommerce fraud detection plans for large enterprises
  • 5.2.3. Industry: Exponential need for advanced fraud detection & prevention by banking and retail industries
  • 5.2.4. Deployment: Emerging popularity of cloud-based eCommerce fraud detection and prevention to attain improved flexibility and scalability
• 5.3. Market Trend Analysis
• 5.4. Cumulative Impact of High Inflation
• 5.5. Porter's Five Forces Analysis
  • 5.5.1. Threat of New Entrants
  • 5.5.2. Threat of Substitutes
  • 5.5.3. Bargaining Power of Customers
  • 5.5.4. Bargaining Power of Suppliers
  • 5.5.5. Industry Rivalry
• 5.6. Value Chain & Critical Path Analysis
• 5.7. Regulatory Framework Analysis
• 5.8. Client Customization

6. eCommerce Fraud Detection & Prevention Market, by Fraud Type

• 6.1. Introduction
• 6.2. Card Testing
• 6.3. Credit Card Fraud
• 6.4. Friendly Fraud
• 6.5. Identity Theft
• 6.6. Merchant Fraud
• 6.7. Phishing
• 6.8. Refund Fraud

7. eCommerce Fraud Detection & Prevention Market, by Organization Size

• 7.1. Introduction
• 7.2. Large Enterprises
• 7.3. Small & Medium-sized Enterprises

8. eCommerce Fraud Detection & Prevention Market, by Industry

• 8.1. Introduction
• 8.2. Aerospace & Defense
• 8.3. Automotive & Transportation
• 8.4. Banking, Financial Services & Insurance
• 8.5. Building, Construction & Real Estate
• 8.6. Consumer Goods & Retail
• 8.7. Education
• 8.8. Energy & Utilities
• 8.9. Government & Public Sector
• 8.10. Healthcare & Life Sciences
• 8.11. Information Technology
• 8.12. Manufacturing
• 8.13. Media & Entertainment
• 8.14. Telecommunication
• 8.15. Travel & Hospitality

9. eCommerce Fraud Detection & Prevention Market, by Deployment

• 9.1. Introduction
• 9.2. On-Cloud
• 9.3. On-Premise

10. Americas eCommerce Fraud Detection & Prevention Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific eCommerce Fraud Detection & Prevention Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa eCommerce Fraud Detection & Prevention Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. Namaste Credit Partners with Microsoft Azure to Launch Proprietary Fraud Detection Capabilities
  • 13.3.2. CellPoint Digital and Riskified Partner to Enhance Fraud Protection for Airlines and Travel Merchants with Industry-Leading Payments Solution
  • 13.3.3. Chargeflow, Which Taps AI to Fight Chargebacks, Raises USD 14 Million
  • 13.3.4. Mastercard and Vesta Partner To Deliver Enhanced Digital Fraud Detection Solutions For Asia Pacific

14. Competitive Portfolio

• 14.1. Key Company Profiles
• 14.2. Key Product Portfolio