市場調査レポート
商品コード
1283512

不正検知・防止 (FDP) の世界市場:提供別 (ソリューション (不正分析、認証、GRC)、サービス (マネージド、プロフェッショナル))・不正行為の種類別・展開方式別・組織規模別・業種別・地域別の将来予測 (2028年まで)

Fraud Detection and Prevention Market by Offering (Solutions (Fraud Analytics, Authentication, and GRC) and Services (Managed and Professional)), Fraud Type, Deployment Mode, Organization Size, Vertical and Region - Global Forecast to 2028

出版日: | 発行: MarketsandMarkets | ページ情報: 英文 470 Pages | 納期: 即納可能 即納可能とは

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=152.41円
不正検知・防止 (FDP) の世界市場:提供別 (ソリューション (不正分析、認証、GRC)、サービス (マネージド、プロフェッショナル))・不正行為の種類別・展開方式別・組織規模別・業種別・地域別の将来予測 (2028年まで)
出版日: 2023年05月25日
発行: MarketsandMarkets
ページ情報: 英文 470 Pages
納期: 即納可能 即納可能とは
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  • 概要
  • 目次
概要

世界の不正検知・防止 (FDP) の市場規模は、2023年の277億米ドルから2028年には666億米ドルへと、予測期間中に19.1%のCAGRで成長すると予測されています。

FDPの市場成長は、業界全体におけるデジタル技術やIoTの利用の増加、不正行為による収益損失やチャージバックの増加、不正行為に対抗するための不正分析およびリスクベース認証ソリューションの採用などの要因によって促進されます。これらの原動力は、新たな脅威から企業を保護し、金銭的損失を軽減し、不正検知能力を強化するための高度なソリューションに対する需要の高まりを強調しています。

"BFSI分野別では、銀行・金融分野が最大の市場規模を占める"

銀行・金融部門は、従業員、顧客、資産、オフィス、支店、業務に関する機密情報を保有しているため、FDP市場で最大規模を保持しています。金融分野の取引件数 (貨幣・データ中心) の多さや、技術進歩、デジタル化のため、この業界別では不正行為の可能性が著しく高まっています。業界別では、カードスキミング、SMSフィッシング、ソーシャルエンジニアリング、ウイルスやトロイの木馬、ID窃盗、スパイウェアやアドウェア、ウェブサイトのクローニング、サイバーストーキングなど、内部および外部の不正行為の脅威に直面しています。これらの攻撃を回避するため、世界中の規制機関は、顧客や組織のデータに対する最適なセキュリティを実現するために、組織に対していくつかの規則を策定しています。

詐欺師やハッカーは、最新の高度な技術を駆使して、 (不正な) ネットワークやシステムにアクセスするための認証情報を盗み出そうとしています。そのため、銀行や金融サービスプロバイダーは、数百万米ドルもかけて、最新のセキュリティ対策を施したプランを更新しています。

"業界別では、医療分野が予測期間中に最も高いCAGRで成長する"

FDP市場において、医療産業は最も高いCAGRを示しました。医療産業では医師・患者・スタッフ・管理者に関連するデータを保有しており、これらは個人的で非常に機密性の高いものです。このような機密情報のため、この業界は詐欺師にとって格好の標的の一つとなっています。以前は、医療企業は不正防止策を講じていなかったか、あるいは小規模にしか講じていませんでした。しかし、近年では担保や金銭的損失が増加しているため、世界の医療業界における支出も増加傾向にあります。この分野で最も一般的な不正行為は、サービスや品目の過剰請求、偽薬、薬やその他の医療器具の不正処方です。このような不正行為は、医療分野における収益の損失や人命の損失につながります。

"サービス別では、プロフェッショナルサービス分野が予測期間中に最大の市場規模で成長する"

プロフェッショナルサービスは、FDPソリューションのエコシステムにおいて重要な役割を担っています。これらのサービスは複雑であるため、サービスプロバイダーは高い技術力と専門知識を有している必要があります。FDPソリューション市場のベンダーは、顧客固有の要件に基づくプロフェッショナルサービスやコンサルティングサービスを提供しています。FDPソリューションベンダーは、顧客のソリューションや関連プロセスの理解を助けるために、トレーニングや教室での講義 (オンラインおよびオフライン) などの教育サポートを提供します。また、プロジェクトに関連するリスクを評価し、より優れたFDPソリューションの導入や既存ソリューションのリプレースを支援します。プロフェッショナルサービス分野は、FDPサービス分野の市場シェアをより高く維持すると推定されます。

"予測期間中、北米が最大の市場規模を占める"

北米は、いくつかの重要な要因によって、最大の市場規模を占めると考えられています。この地域の技術進歩は、大手テクノロジー企業やサイバーセキュリティ企業の存在感が強く、高度なFDPソリューションの開発・展開を可能にしています。さらに、サーベンス・オクスリー法や、決済カード業界のデータセキュリティ基準などの規制を含む北米の強固な規制環境が、不正行為に対処し消費者の利益を守るための包括的なFDPソリューションの導入を後押ししています。また、高度なサイバーセキュリティ環境と高度にデジタル化された経済が、組織によるFDP投資の優先度を高め、重要資産のセキュリティ確保と不正行為のリスク軽減に寄与しています。

"予測期間中、アジア太平洋が最も高いCAGRで成長する"

アジア太平洋は、いくつかの重要な要因によって、最も高いCAGRで成長すると考えられています。この地域では、eコマースやオンライン取引の急増によってデジタル経済が急速に発展しており、堅牢なFDPソリューションに対する緊急のニーズが発生しています。また、サイバーセキュリティに対する懸念が高まり、データ漏洩事件が多発したことで、アジア太平洋の企業の意識が高まり、高度なFDP技術への需要が高まっています。また、同地域の政府は、サイバーセキュリティの強化に向けた取り組みや規制を実施しており、FDPソリューションの採用をさらに後押ししています。さらに、アジア太平洋には新興市場が存在し、産業界が急速に発展していることも、FDP市場の高い成長の可能性を後押ししています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要と業界動向

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • エコシステム
  • 不正検知・防止のフレームワーク
  • 技術分析
  • 関税・規制状況
  • 特許分析
  • 不正検知・防止の歴史
  • バリューチェーン分析
  • 価格分析
  • ポーターのファイブフォース分析
  • 使用事例
  • 顧客に影響を与える動向と混乱
  • 主要な利害関係者と購入基準
  • 主な会議とイベント (2023年~2024年)

第6章 不正検知・防止市場:不正行為の種類別

  • イントロダクション
  • 小切手詐欺
  • ID詐欺
  • インサイダー詐欺
  • 投資詐欺
  • 決済詐欺
  • 保険詐欺
  • フレンドリー詐欺
  • その他の詐欺

第7章 不正検知・防止市場:提供別

  • イントロダクション
  • ソリューション
    • 不正分析
    • 認証
    • GRC (ガバナンス・リスク・コンプライアンス)
  • サービス
    • プロフェッショナルサービス
    • マネージドサービス

第8章 不正検知・防止市場:展開方式別

  • イントロダクション
  • クラウド
  • オンプレミス

第9章 不正検知・防止市場:組織規模別

  • イントロダクション
  • 中小企業
  • 大企業

第10章 不正検知・防止市場:業種別

  • イントロダクション
  • 銀行・金融サービス・保険 (BFSI)
    • 銀行・金融機関
    • 保険
  • 小売業・eコマース
  • 政府
  • 医療
  • 製造業
  • 旅行・交通
  • 不動産
  • 通信
  • その他の業種

第11章 不正検知・防止市場:地域別

  • イントロダクション
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • スペイン
    • イタリア
    • ポーランド
    • アイルランド
    • チェコ
    • その他の欧州
  • アジア太平洋
    • 中国
    • 日本
    • オーストラリア・ニュージーランド
    • インド
    • シンガポール
    • その他のアジア太平洋
  • 中東とアフリカ
    • アラブ首長国連邦
    • サウジアラビア
    • 南アフリカ
    • その他の中東・アフリカ
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • コロンビア
    • その他のラテンアメリカ

第12章 競合情勢

  • 概要
  • 過去の収益分析
  • 不正検知・防止の主要ベンダーの評価と財務指標
  • 不正検知・防止市場:主要企業のランキング
  • 市場シェア分析
  • 企業評価クアドラント
  • 競合ベンチマーキング
  • スタートアップ/中小企業の評価クアドラント
  • 競争シナリオと動向

第13章 企業プロファイル

  • イントロダクション
  • 主要企業
    • FISERV
    • FIS GLOBAL
    • LEXISNEXIS RISK SOLUTIONS
    • BAE SYSTEMS
    • TRANSUNION
    • EXPERIAN
    • NICE ACTIMIZE
    • ACI WORLDWIDE
    • SAS INSTITUTE
    • RSA SECURITY
    • SAP
    • FICO
    • SOFTWARE AG
    • MICROSOFT
    • NEUSTAR
    • F5
    • INGENICO
    • AWS
    • BOTTOMLINE TECHNOLOGIES
    • CLEARSALE
    • GENPACT
  • その他の主な企業
    • KOUNT
    • SECURONIX
    • ACCERTIFY
    • FEEDZAI
    • CASEWARE
    • PERIMETER X
    • ONESPAN
    • SIGNIFYD
    • BIOCATCH
    • FRISS
    • MAXMIND
    • DATAVISOR
    • CLEAFY
    • GURUCUL
    • PONDERA SOLUTIONS
    • RISKIFIED
    • ALLOY
    • CASTLE
    • SIFT
    • NOFRAUD
    • FEATURESPACE
    • ENZOIC
    • MERLON AI
    • KUBIENT
    • SPYCLOUD
    • SEON
    • NETHONE
    • TRUSTCHECKR
    • DEDUCE
    • INCOGNIA
    • RESISTANT AI

第14章 隣接市場

  • 制限事項
  • 企業向けGRC (ガバナンス・リスク・コンプライアンス) 市場
  • マネーロンダリング防止市場

第15章 付録

目次
Product Code: TC 2879

The global FDP market size is projected to grow from USD 27.7 billion in 2023 to USD 66.6 billion by 2028 at a Compound Annual Growth Rate (CAGR) of 19.1% during the forecast period. The market growth in FDP is fueled by factors such as increased use of digital technologies and IoT across industries, rising revenue losses and chargebacks due to fraud, and the adoption of fraud analytics and risk-based authentication solutions to combat fraud. These driving forces highlight the growing demand for advanced solutions to protect businesses from emerging threats, mitigate financial losses, and enhance fraud detection capabilities.

"By the BFSI segment, the banking and finance segment holds the largest market size."

The banking and finance sector holds the largest FDP market as it holds sensitive information about employees, customers, assets, offices, branches, and operations. Owing to the number of transactions (monetary and data-centric), the number of transactions, technological advancements, and digitalization of the financial sector, the possibility of fraud in this vertical is increasing significantly. The BFSI vertical faces internal and external fraud threats, such as card skimming, SMS phishing, social engineering, viruses and trojans, identity thefts, spyware and adware, website cloning, and cyberstalking. To avert these attacks, regulatory bodies worldwide have devised several regulations for organizations to achieve optimum security for customers and organizations' data.

Fraudsters and hackers are trying updated and advanced technologies to steal the credentials to access the (unauthorized) networks and systems. Therefore, banking and financial service providers spend millions of dollars updating their plans with the latest security measures.

"By verticals, the healthcare segment registered the highest CAGR during the forecast period."

The healthcare industry exhibits the highest CAGR in the FDP market. The healthcare vertical includes companies that generate and commercialize healthcare goods and services. Medical and pharmaceutical OEMs, health insurance firms, and private and public healthcare organizations are considered in the healthcare vertical. It also possesses data related to doctors, patients, staff, and administrators, which is personal and highly confidential. Owing to this vertical's sensitive information, this industry is becoming one of the prime targets for fraudsters. In the past, healthcare organizations either did not use anti-fraud measures or used them on a small scale. In recent times, as collateral and monetary losses have been increasing, spending in the global healthcare vertical has also been growing. The most common frauds in this vertical are excessive billing for services and items, fake drugs, and influenced prescription of medicines and other medical amenities. These fraudulent activities result in revenue loss and the loss of lives in the healthcare vertical.

"By services, the professional services segment will grow at the largest market size during the forecast period."

Professional services play a vital role in the FDP solution ecosystem. As these services are complex, service providers must possess high technical skills and expertise. Several FDP solution market vendors offer professional and consulting services based on client-specific requirements. They provide educational support, such as training and classroom lectures (online and offline), to help clients understand their solutions and related processes. They assess the risks associated with any project and help deploy better and enhanced FDP solutions or replace existing ones. The professional services segment is estimated to hold a higher FDP services segment market share.

"North America is expected to account for the largest market size during the forecasted period."

North America is poised to have the largest market size due to several key factors. The region's technological advancement, with a strong presence of leading technology companies and cybersecurity firms, enables the development and deployment of advanced FDP solutions. Additionally, North America's robust regulatory environment, including regulations like the Sarbanes-Oxley Act and the Payment Card Industry Data Security Standard, drives the adoption of comprehensive FDP solutions to address fraud and protect consumer interests. The sophisticated cybersecurity landscape and the region's highly digitized economy further contribute to the prioritization of FDP investments by organizations, ensuring the security of critical assets and mitigating fraud risks.

"Asia Pacific is anticipated to account for the highest CAGR during the forecasted period."

Asia Pacific is poised to witness the highest CAGR due to several key factors. The region's rapidly growing digital economy, driven by the surge in e-commerce and online transactions, creates an urgent need for robust FDP solutions. Additionally, increasing cybersecurity concerns and high-profile data breaches have raised awareness among organizations in Asia Pacific, leading to a growing demand for advanced FDP technologies. Governments in the region are also implementing initiatives and regulations to enhance cybersecurity practices, further fueling the adoption of FDP solutions. Moreover, the presence of emerging markets and rapidly developing industry verticals in Asia Pacific contribute to the region's high growth potential in the FDP market.

Breakdown of primaries

The study contains various industry experts' insights, from suppliers/software developers to OEMs and Tier 1 vendors.

The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
  • By Designation: C-level - 40%, and Managerial and other levels- 60%
  • By Region: North America - 20%, Europe - 35%, Asia Pacific - 45%

The key vendors in the global FDP market include Fiserv (US), FIS Global (US), LexisNexis Risk Solutions (US), BAE Systems (UK), TransUnion (US), Experian (Ireland), Nice Actimize (US), ACI Worldwide (US), SAS Institute (US), RSA Security (US), SAP (Germany), FICO (US), Software AG (Germany), Microsoft (US), Neustar (US), F5 (US), Ingenico (France), AWS (US), Bottomline Technologies (US), ClearSale (Brazil), Genpact(US), Kount (US), Securonix (US), Accertify (US), Feedzai (Portugal), Caseware (Canada), PerimeterX (US), OneSpan (US), Signifyd (US), BioCatch (Israel), FRISS (Netherlands), MaxMind (US), DataVisor (US), Cleafy (Italy), Gurucul (US), Pondera Solutions (US), Riskified (US), Alloy (US), Castle (US), Sift (US), NoFraud (US), Featurespace (UK), Enzoic (US), Merlon AI (US), Kubient (US), SpyCloud (US), SEON (Hungary), Nethone (Poland), Trustcheckr (India), Deduce (US), Incognia (US), and Resistant AI (Czech Republic).

The study includes in-depth competitive intelligence covering company profiles, recent developments, and key market strategies.

Research Coverage

The report segments the FDP market and forecasts its size by offering (solutions and services), solutions (fraud analytics, authentication, GRC), services (professional services and managed services), deployment (on-premise and on-cloud), organization size (large enterprise and SMEs), type (check fraud, identity fraud, insider fraud, investment fraud, payment fraud, insurance fraud, friendly fraud, and other types), BFSI (banking and finance and insurance), vertical (BFSI, retail and eCommerce, government, healthcare, manufacturing, travel and transportation, real estate, telecommunication, and other verticals), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall FDP market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Increased revenue losses and chargebacks due to fraud, Increased use of digital technologies and IoT across industries), restraints (Rise in fraud complexity, Lack of infrastructure to support AI and ML), opportunities (Increased adoption of advanced technologies, adoption of batch, streaming, and predictive analytics for real-time fraud detection), and challenges (Lack of trained professionals to analyze fraud attacks, Lack of awareness related to digital fraud in organizations).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the FDP market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the FDP market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the FDP market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Fiserv (US), FIS Global (US), LexisNexis Risk Solutions (US), BAE Systems (UK), TransUnion (US), among others in the FDP market strategies.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
  • 1.4 YEARS CONSIDERED
  • 1.5 CURRENCY CONSIDERED
    • TABLE 1 USD EXCHANGE RATES, 2017-2021
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 FRAUD DETECTION AND PREVENTION MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primaries
      • 2.1.2.2 Key industry insights
  • 2.2 DATA TRIANGULATION
    • FIGURE 2 FRAUD DETECTION AND PREVENTION MARKET: DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 3 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICES OF FRAUD DETECTION AND PREVENTION VENDORS
    • FIGURE 4 FRAUD DETECTION AND PREVENTION MARKET: APPROACH 1 (SUPPLY-SIDE) ANALYSIS
    • FIGURE 5 FRAUD DETECTION AND PREVENTION MARKET ESTIMATION: RESEARCH FLOW
    • FIGURE 6 FRAUD DETECTION AND PREVENTION MARKET: APPROACH 2: BOTTOM-UP (DEMAND-SIDE): PRODUCTS/SOLUTIONS/SERVICES
  • 2.4 MARKET FORECAST
    • TABLE 2 FACTOR ANALYSIS
  • 2.5 COMPANY EVALUATION QUADRANT METHODOLOGY
    • FIGURE 7 COMPANY EVALUATION QUADRANT: CRITERIA WEIGHTAGE
  • 2.6 COMPANY EVALUATION QUADRANT METHODOLOGY (STARTUPS)
    • FIGURE 8 COMPANY EVALUATION QUADRANT (STARTUPS): CRITERIA WEIGHTAGE
  • 2.7 ASSUMPTIONS
    • TABLE 3 FRAUD DETECTION AND PREVENTION MARKET: ASSUMPTIONS
  • 2.8 LIMITATIONS
    • TABLE 4 FRAUD DETECTION AND PREVENTION MARKET: LIMITATIONS

3 EXECUTIVE SUMMARY

    • FIGURE 9 GLOBAL FRAUD DETECTION AND PREVENTION MARKET TO WITNESS SIGNIFICANT GROWTH DURING FORECAST PERIOD
    • FIGURE 10 FRAUD DETECTION AND PREVENTION MARKET: FASTEST GROWING SEGMENTS
    • FIGURE 11 FRAUD DETECTION AND PREVENTION MARKET: REGIONAL SNAPSHOT

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN FRAUD DETECTION AND PREVENTION MARKET
    • FIGURE 12 INCREASED REVENUE LOSSES DUE TO FRAUD TO BOOST GROWTH OF FRAUD DETECTION AND PREVENTION MARKET
  • 4.2 FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2023-2028
    • FIGURE 13 IDENTITY FRAUD SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • 4.3 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028
    • FIGURE 14 SOLUTIONS SEGMENT TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
  • 4.4 FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028
    • FIGURE 15 FRAUD ANALYTICS SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • 4.5 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028
    • FIGURE 16 ON-PREMISES SEGMENT TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
  • 4.6 FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028
    • FIGURE 17 LARGE ENTERPRISES SEGMENT TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
  • 4.7 FRAUD DETECTION AND PREVENTION MARKET, SHARE OF TOP THREE VERTICALS AND REGIONS, 2023-2028
    • FIGURE 18 RETAIL AND ECOMMERCE VERTICAL TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • 4.8 MARKET INVESTMENT SCENARIO
    • FIGURE 19 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENTS IN NEXT FIVE YEARS

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 20 FRAUD DETECTION AND PREVENTION MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increased use of digital technologies and IoT
      • 5.2.1.2 Increased revenue losses and chargebacks due to fraud
      • 5.2.1.3 Increased adoption of fraud analytics and risk-based authentication solutions to combat fraud
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Rise in fraud complexity
      • 5.2.2.2 Budgetary issues in developing in-house fraud detection solution
      • 5.2.2.3 Lack of infrastructure to support AI and ML
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increased adoption of advanced technologies
      • 5.2.3.2 Adoption of batch, streaming, and predictive analytics for real-time fraud detection
      • 5.2.3.3 Growing need to protect SMEs from fraud
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of trained professionals to analyze fraud attacks
      • 5.2.4.2 Lack of awareness related to digital fraud in organizations
  • 5.3 ECOSYSTEM
    • FIGURE 21 ECOSYSTEM: FRAUD DETECTION AND PREVENTION MARKET
    • 5.3.1 ECOSYSTEM/MARKET MAP
    • TABLE 5 FRAUD DETECTION AND PREVENTION MARKET: ECOSYSTEM
  • 5.4 FRAUD DETECTION AND PREVENTION FRAMEWORK
    • FIGURE 22 FRAUD DETECTION AND PREVENTION MARKET: FRAMEWORK
  • 5.5 TECHNOLOGY ANALYSIS
    • 5.5.1 FRAUD DETECTION AND ARTIFICIAL INTELLIGENCE
    • 5.5.2 FRAUD DETECTION AND DATA ANALYTICS
    • 5.5.3 FRAUD DETECTION AND INTERNET OF THINGS
    • 5.5.4 FRAUD DETECTION AND REAL-TIME AUTHENTICATION
  • 5.6 TARIFF AND REGULATORY LANDSCAPE
    • 5.6.1 INTRODUCTION
    • 5.6.2 PAYMENT SERVICE DIRECTIVE/STRONG CUSTOMER AUTHENTICATION COMPLIANCE
    • 5.6.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
    • 5.6.4 INFORMATION TECHNOLOGY (IT) ACT, 2000
    • 5.6.5 GENERAL DATA PROTECTION REGULATION COMPLIANCE
    • 5.6.6 ANTI-MONEY LAUNDERING/COMBATING FINANCING OF TERRORISM COMPLIANCE
    • 5.6.7 BANK SECRECY ACT
    • 5.6.8 PERSONAL INFORMATION PROTECTION AND ELECTRONIC DOCUMENTS ACT
    • 5.6.9 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 6 LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.7 PATENT ANALYSIS
    • FIGURE 23 PATENT ANALYSIS: FRAUD DETECTION AND PREVENTION MARKET
  • 5.8 HISTORY OF FRAUD DETECTION AND PREVENTION
    • FIGURE 24 HISTORY OF FRAUD DETECTION AND PREVENTION
    • 5.8.1 1990S
    • 5.8.2 2000-2010
    • 5.8.3 2010-2020
    • 5.8.4 2020-2030
  • 5.9 VALUE CHAIN ANALYSIS
    • FIGURE 25 FRAUD DETECTION AND PREVENTION MARKET: VALUE CHAIN ANALYSIS
    • 5.9.1 FRAUD DETECTION AND PREVENTION SOLUTIONS AND SERVICES PROVIDERS
    • 5.9.2 REGULATORY AUTHORITIES, INCLUDING GOVERNMENT OR INDUSTRY ASSOCIATIONS
    • 5.9.3 SOLUTION DESIGNERS AND DEVELOPERS/CONSULTANTS
    • 5.9.4 SYSTEM INTEGRATORS
    • 5.9.5 RESELLERS
    • 5.9.6 END USERS
  • 5.10 PRICING ANALYSIS
    • TABLE 7 PRICING ANALYSIS
  • 5.11 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 8 IMPACT OF PORTER'S FIVE FORCES ON FRAUD DETECTION AND PREVENTION MARKET
    • FIGURE 26 FRAUD DETECTION AND PREVENTION MARKET: PORTER'S FIVE FORCE ANALYSIS
    • 5.11.1 THREAT OF NEW ENTRANTS
    • 5.11.2 THREAT OF SUBSTITUTES
    • 5.11.3 BARGAINING POWER OF SUPPLIERS
    • 5.11.4 BARGAINING POWER OF BUYERS
    • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 USE CASES
    • 5.12.1 USE CASE 1: SIGNIFYD HELPED BHFO MANAGE FRAUD AND ELIMINATE UNNECESSARY CUSTOMER FRICTION
    • 5.12.2 USE CASE 2: KOUNT HELPED GETTY IMAGES REDUCE CHARGEBACKS AND STAY AHEAD OF FRAUD
    • 5.12.3 USE CASE 3: ACCERTIFY HELPED GUITAR CENTER DOUBLE FRAUD SAVINGS AND REDUCE FRAUD LOSSES BY 62%
    • 5.12.4 USE CASE 4: RISKIFIED HELPED WAYFAIR REDUCE FRAUD COST BY 60%
  • 5.13 TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS
    • FIGURE 27 FRAUD DETECTION AND PREVENTION MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMERS
  • 5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 28 INFLUENCE OF KEY STAKEHOLDERS ON BUYING PROCESS (%)
    • TABLE 9 INFLUENCE OF KEY STAKEHOLDERS ON BUYING PROCESS (%)
  • 5.15 KEY CONFERENCES AND EVENTS IN 2023-2024
    • TABLE 10 FRAUD DETECTION AND PREVENTION MARKET: LIST OF CONFERENCES AND EVENTS, 2023-2024

6 FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE

  • 6.1 INTRODUCTION
    • 6.1.1 FRAUD TYPES: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 29 INSIDER FRAUD SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 11 FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 12 FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
  • 6.2 CHECK FRAUD
    • 6.2.1 RISING CHECK FRAUD DUE TO TECHNOLOGICAL ADVANCEMENTS AND ECONOMIC CONDITIONS TO DRIVE MARKET
    • TABLE 13 CHECK FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 14 CHECK FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.3 IDENTITY FRAUD
    • 6.3.1 RISING CONSUMER PENETRATION IN DIGITAL PLATFORMS FOR BANKING AND OFFICIAL PURPOSES TO PROPEL MARKET
    • TABLE 15 IDENTITY FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 16 IDENTITY FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.4 INSIDER FRAUD
    • 6.4.1 DIGITAL ACCESS TO CRITICAL BUSINESS INFORMATION TO EMPLOYEES ACCELERATING INSIDER FRAUD TO DRIVE MARKET
    • TABLE 17 INSIDER FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 18 INSIDER FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.5 INVESTMENT FRAUD
    • 6.5.1 RISING ILLEGAL SALE OF FINANCIAL INSTRUMENTS DUE TO INCREASING ADOPTION OF BLOCKCHAIN AND CRYPTOCURRENCIES TO BOOST MARKET
    • TABLE 19 INVESTMENT FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 20 INVESTMENT FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.6 PAYMENT FRAUD
    • 6.6.1 GROWING USE OF CREDIT AND DEBIT CARDS AND DIGITALIZATION OF MONETARY TRANSACTIONS TO DRIVE MARKET
    • TABLE 21 PAYMENT FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 22 PAYMENT FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.7 INSURANCE FRAUD
    • 6.7.1 GROWING DEMAND FOR ANALYTICS AND COMPLIANCE SOLUTIONS TO SAFEGUARD POLICYHOLDERS TO DRIVE MARKET
    • TABLE 23 INSURANCE FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 24 INSURANCE FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.8 FRIENDLY FRAUD
    • 6.8.1 IMPROVING CUSTOMER COMMUNICATION AND OPTIMIZING FRAUD DETECTION SYSTEMS TO COMBAT FRIENDLY FRAUD TO PROPEL MARKET
    • TABLE 25 FRIENDLY FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 26 FRIENDLY FRAUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.9 OTHER FRAUDS

7 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING

  • 7.1 INTRODUCTION
    • 7.1.1 OFFERINGS: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 30 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 27 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 28 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 7.2 SOLUTIONS
    • 7.2.1 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 31 AUTHENTICATION SOLUTION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 29 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 30 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 31 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 32 SOLUTIONS: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 7.2.2 FRAUD ANALYTICS
      • 7.2.2.1 Surge to analyze enterprises' systems and databases to identify vulnerabilities to prevent fraud to drive market
    • TABLE 33 FRAUD ANALYTICS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 34 FRAUD ANALYTICS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.2.2.2 Predictive analytics
      • 7.2.2.3 Descriptive analytics
      • 7.2.2.4 Prescriptive analytics
      • 7.2.2.5 SNA
      • 7.2.2.6 Text analytics
      • 7.2.2.7 Behavioral analytics
    • 7.2.3 AUTHENTICATION
      • 7.2.3.1 Need to maintain authenticity of transactions by blocking unauthorized access and identifying false input to boost market
    • TABLE 35 AUTHENTICATION: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 36 AUTHENTICATION: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.2.3.2 SFA
      • 7.2.3.3 Multi-factor authentication
      • 7.2.3.4 RBA
    • 7.2.4 GOVERNANCE, RISK, AND COMPLIANCE
      • 7.2.4.1 Growing need to detect identity fraud, payment fraud, and anti-money laundering scams to drive market
    • TABLE 37 GOVERNANCE, RISK, AND COMPLIANCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 38 GOVERNANCE, RISK, AND COMPLIANCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 SERVICES
    • 7.3.1 SERVICES: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • TABLE 39 SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 40 SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 41 SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 42 SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 7.3.2 PROFESSIONAL SERVICES
      • 7.3.2.1 Surging deployment of specialized services to identify, prevent, and mitigate fraud risks by organizations to boost market
    • TABLE 43 PROFESSIONAL SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 44 PROFESSIONAL SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.3.2.2 Risk assessment
      • 7.3.2.3 Consulting services
      • 7.3.2.4 Training and education
      • 7.3.2.5 Implementation
    • 7.3.3 MANAGED SERVICES
      • 7.3.3.1 Need to monitor, investigate, assess risk management, and create strategies to prevent fraud to propel market
    • TABLE 45 MANAGED SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 46 MANAGED SERVICES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)

8 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE

  • 8.1 INTRODUCTION
    • 8.1.1 DEPLOYMENT MODES: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 32 CLOUD DEPLOYMENT SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 47 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 48 FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • 8.2 CLOUD
    • 8.2.1 DEMAND FOR CLOUD FROM SMES DUE TO ITS COST-EFFECTIVENESS AND EASE OF SECURING APPLICATIONS TO BOOST DEMAND
    • TABLE 49 CLOUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 50 CLOUD: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.3 ON-PREMISES
    • 8.3.1 NEED TO PROVIDE FULL CONTROL OVER PLATFORMS, SYSTEMS, AND DATA TO ORGANIZATIONS TO PROPEL GROWTH
    • TABLE 51 ON-PREMISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 52 ON-PREMISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)

9 FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
    • 9.1.1 ORGANIZATION SIZE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 33 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO RECORD HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 53 FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 54 FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
  • 9.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 9.2.1 RISING NEED TO PROTECT APPLICATIONS FROM VULNERABILITIES AND ATTACKS AND ENHANCE SECURITY SYSTEM IN SMES TO DRIVE MARKET
    • TABLE 55 SMALL AND MEDIUM-SIZED ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 56 SMALL AND MEDIUM-SIZED ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 LARGE ENTERPRISES
    • 9.3.1 REQUIREMENT FROM LARGE ENTERPRISES TO SECURE NETWORKS AND SYSTEMS TO BOOST DEMAND FOR FRAUD DETECTION SOLUTIONS
    • TABLE 57 LARGE ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 58 LARGE ENTERPRISES: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)

10 FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL

  • 10.1 INTRODUCTION
    • 10.1.1 VERTICALS: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • FIGURE 34 RETAIL AND ECOMMERCE VERTICAL TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
    • TABLE 59 FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 60 FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • TABLE 61 BANKING, FINANCIAL SERVICES, AND INSURANCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 62 BANKING, FINANCIAL SERVICES, AND INSURANCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 63 BANKING, FINANCIAL SERVICES, AND INSURANCE: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 64 BANKING, FINANCIAL SERVICES, AND INSURANCE: FRAUD DETECTION AND PREVENTION MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 10.2.1 BANKING AND FINANCIAL INSTITUTES
      • 10.2.1.1 Need to prevent card skimming, SMS phishing, viruses, cyberstalking, trojans, and identity theft to drive market
    • 10.2.2 INSURANCE
      • 10.2.2.1 Increased digitalization of insurance driving organized criminal fraud and insurance fraud to boost market
  • 10.3 RETAIL AND ECOMMERCE
    • 10.3.1 LARGE NUMBER OF MONETARY TRANSACTIONS THROUGH DIGITAL CHANNELS AND FRAUDULENT TRANSITIONS TO BOOST MARKET
    • TABLE 65 RETAIL AND ECOMMERCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 66 RETAIL AND ECOMMERCE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.4 GOVERNMENT
    • 10.4.1 DEPLOYMENT OF DIGITAL APPLICATIONS TO HANDLE CRITICAL DATA BY GOVERNMENT INSTITUTES TO DRIVE MARKET
    • TABLE 67 GOVERNMENT: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 68 GOVERNMENT: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.5 HEALTHCARE
    • 10.5.1 NEED TO SECURE PRIVATE AND HIGHLY CONFIDENTIAL HEALTHCARE DATA AND PRESERVE TRUST AMONG PATIENTS TO PROPEL MARKET
    • TABLE 69 HEALTHCARE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 70 HEALTHCARE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.6 MANUFACTURING
    • 10.6.1 EXPOSURE OF MANUFACTURING ENTERPRISES TO CYBER THREATS DUE TO INCREASING DIGITAL TRANSFORMATION TO DRIVE MARKET
    • TABLE 71 MANUFACTURING: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 72 MANUFACTURING: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.7 TRAVEL AND TRANSPORTATION
    • 10.7.1 SURGE TO PREVENT FRAUDSTERS FROM TARGETING LOYALTY ACCOUNTS AND STORE VALUE FROM MISUSING TRAVEL DATA TO BOOST MARKET
    • TABLE 73 TRAVEL AND TRANSPORTATION: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 74 TRAVEL AND TRANSPORTATION: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.8 REAL ESTATE
    • 10.8.1 GROWING PROPERTY FLIPPING FRAUD, MORTGAGE FRAUD, FORECLOSURE FRAUD, AND RENTAL FRAUD TO DRIVE MARKET
    • TABLE 75 REAL ESTATE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 76 REAL ESTATE: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.9 TELECOMMUNICATIONS
    • 10.9.1 RISING ONLINE FRAUDS, FAKE IDENTITIES, FRAUDULENT CALLS, IDENTITY THEFTS, AND CALLING CARD FRAUD TO DRIVE MARKET
    • TABLE 77 TELECOMMUNICATIONS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 78 TELECOMMUNICATIONS: FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.10 OTHER VERTICALS

11 FRAUD DETECTION AND PROTECTION MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 35 ASIA PACIFIC TO GROW AT HIGHEST CAGR, BY 2028
    • TABLE 79 FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 80 FRAUD DETECTION AND PREVENTION MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 11.2 NORTH AMERICA
    • 11.2.1 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • 11.2.2 NORTH AMERICA: RECESSION IMPACT
    • 11.2.3 NORTH AMERICA: REGULATORY LANDSCAPE
    • FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 81 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 82 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 83 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 84 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 85 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 86 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 87 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 88 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 89 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 90 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 91 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 92 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 93 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 94 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 95 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 96 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • TABLE 97 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 98 NORTH AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.2.4 US
      • 11.2.4.1 Technological advancements, increasing use of online banking portals, and evolving fraud trends to drive market
    • TABLE 99 US: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 100 US: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 101 US: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 102 US: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 103 US: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 104 US: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 105 US: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 106 US: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 107 US: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 108 US: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 109 US: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 110 US: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 111 US: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 112 US: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 113 US: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 114 US: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.2.5 CANADA
      • 11.2.5.1 Increased fraudulent activities and cybercrimes giving rise to government initiatives to propel market
    • TABLE 115 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 116 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 117 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 118 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 119 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 120 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 121 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 122 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 123 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 124 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 125 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 126 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 127 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 128 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 129 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 130 CANADA: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
  • 11.3 EUROPE
    • 11.3.1 EUROPE: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • 11.3.2 EUROPE: RECESSION IMPACT
    • 11.3.3 EUROPE: REGULATORY LANDSCAPE
    • TABLE 131 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 132 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 133 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 134 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 135 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 136 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 137 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 138 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 139 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 140 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 141 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 142 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 143 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 144 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 145 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 146 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • TABLE 147 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 148 EUROPE: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.3.4 UK
      • 11.3.4.1 Increased losses due to fraud-related crimes and government initiatives to curb them to boost market
    • TABLE 149 UK: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 150 UK: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 151 UK: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 152 UK: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 153 UK: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 154 UK: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 155 UK: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 156 UK: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 157 UK: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 158 UK: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 159 UK: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 160 UK: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 161 UK: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 162 UK: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 163 UK: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 164 UK: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.5 GERMANY
      • 11.3.5.1 Rising identity theft and stolen personal information, phishing scams, and financial crimes to drive market
    • TABLE 165 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 166 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 167 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 168 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 169 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 170 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 171 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 172 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 173 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 174 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 175 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 176 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 177 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 178 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 179 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 180 GERMANY: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.6 FRANCE
      • 11.3.6.1 Stringent regulations to prevent financial crimes, money laundering, and terrorism to fuel market
    • TABLE 181 FRANCE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 182 FRANCE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 183 FRANCE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 184 FRANCE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 185 FRANCE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 186 FRANCE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 187 FRANCE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 188 FRANCE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 189 FRANCE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 190 FRANCE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 191 FRANCE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 192 FRANCE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 193 FRANCE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 194 FRANCE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 195 FRANCE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 196 FRANCE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.7 SPAIN
      • 11.3.7.1 Vulnerability to fraud for being hub for business and economic activities to drive market
    • TABLE 197 SPAIN: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 198 SPAIN: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 199 SPAIN: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 200 SPAIN: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 201 SPAIN: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 202 SPAIN: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 203 SPAIN: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 204 SPAIN: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 205 SPAIN: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 206 SPAIN: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 207 SPAIN: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 208 SPAIN: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 209 SPAIN: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 210 SPAIN: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 211 SPAIN: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 212 SPAIN: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.8 ITALY
      • 11.3.8.1 Continued investment in technology and awareness regarding cybersecurity to drive market
    • TABLE 213 ITALY: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 214 ITALY: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 215 ITALY: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 216 ITALY: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 217 ITALY: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 218 ITALY: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 219 ITALY: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 220 ITALY: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 221 ITALY: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 222 ITALY: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 223 ITALY: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 224 ITALY: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 225 ITALY: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 226 ITALY: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 227 ITALY: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 228 ITALY: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.9 POLAND
      • 11.3.9.1 Government initiatives and measures to combat fraud and investment in advanced technology to boost market
    • TABLE 229 POLAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 230 POLAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 231 POLAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 232 POLAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 233 POLAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 234 POLAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 235 POLAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 236 POLAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 237 POLAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 238 POLAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 239 POLAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 240 POLAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 241 POLAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 242 POLAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 243 POLAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 244 POLAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.10 IRELAND
      • 11.3.10.1 Increasing financial losses caused by fraud and other cybercrimes and concerns from financial institutions to boost market
    • TABLE 245 IRELAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 246 IRELAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 247 IRELAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 248 IRELAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 249 IRELAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 250 IRELAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 251 IRELAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 252 IRELAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 253 IRELAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 254 IRELAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 255 IRELAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 256 IRELAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 257 IRELAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 258 IRELAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 259 IRELAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 260 IRELAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.11 CZECH REPUBLIC
      • 11.3.11.1 Rising fraud, embezzlement, and money laundering in finance, insurance, and real estate sectors to drive market
    • TABLE 261 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 262 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 263 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 264 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 265 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 266 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 267 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 268 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 269 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 270 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 271 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 272 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 273 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 274 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 275 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 276 CZECH REPUBLIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.3.12 REST OF EUROPE
    • TABLE 277 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 278 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 279 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 280 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 281 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 282 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 283 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 284 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 285 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 286 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 287 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 288 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 289 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 290 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 291 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 292 REST OF EUROPE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
  • 11.4 ASIA PACIFIC
    • 11.4.1 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • 11.4.2 ASIA PACIFIC: RECESSION IMPACT
    • 11.4.3 ASIA PACIFIC: REGULATORY LANDSCAPE
    • FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 293 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 294 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 295 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 296 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 297 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 298 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 299 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 300 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 301 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 302 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 303 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 304 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 305 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 306 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 307 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 308 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • TABLE 309 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 310 ASIA PACIFIC: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.4.4 CHINA
      • 11.4.4.1 Growing threat of online scammers and rising telecom and internet fraud to boost market
    • TABLE 311 CHINA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 312 CHINA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 313 CHINA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 314 CHINA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 315 CHINA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 316 CHINA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 317 CHINA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 318 CHINA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 319 CHINA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 320 CHINA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 321 CHINA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 322 CHINA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 323 CHINA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 324 CHINA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 325 CHINA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 326 CHINA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.4.5 JAPAN
      • 11.4.5.1 Growing risk of fraud due to rapid digitalization of advanced economy and partnerships with overseas FDP vendors to boost market
    • TABLE 327 JAPAN: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 328 JAPAN: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 329 JAPAN: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 330 JAPAN: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 331 JAPAN: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 332 JAPAN: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 333 JAPAN: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 334 JAPAN: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 335 JAPAN: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 336 JAPAN: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 337 JAPAN: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 338 JAPAN: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 339 JAPAN: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 340 JAPAN: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 341 JAPAN: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 342 JAPAN: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.4.6 AUSTRALIA AND NEW ZEALAND
      • 11.4.6.1 Surge in fraud-related attacks and regulatory requirements to improve data security and customer privacy to fuel market
    • TABLE 343 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 344 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 345 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 346 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 347 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 348 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 349 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 350 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 351 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 352 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 353 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 354 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 355 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 356 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 357 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 358 AUSTRALIA AND NEW ZEALAND: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.4.7 INDIA
      • 11.4.7.1 Increased internet penetration, improved telecom services, and government initiatives to drive market
    • TABLE 359 INDIA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 360 INDIA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 361 INDIA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 362 INDIA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 363 INDIA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 364 INDIA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 365 INDIA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 366 INDIA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 367 INDIA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 368 INDIA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 369 INDIA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 370 INDIA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 371 INDIA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 372 INDIA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 373 INDIA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 374 INDIA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.4.8 SINGAPORE
      • 11.4.8.1 Technological advancement, global connectivity, sophistication of cybercriminals, and human vulnerabilities to drive market
    • TABLE 375 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 376 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 377 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 378 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 379 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 380 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 381 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 382 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 383 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 384 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 385 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 386 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 387 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 388 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 389 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 390 SINGAPORE: FRAUD DETECTION AND PREVENTION MARKET, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.4.9 REST OF ASIA PACIFIC
    • TABLE 391 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 392 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 393 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 394 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 395 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 396 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 397 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 398 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 399 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 400 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 401 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 402 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 403 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 404 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 405 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 406 REST OF ASIA PACIFIC: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
  • 11.5 MIDDLE EAST & AFRICA
    • 11.5.1 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • 11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • 11.5.3 MIDDLE EAST & AFRICA: REGULATORY LANDSCAPE
    • TABLE 407 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 408 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 409 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 410 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 411 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 412 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 413 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 414 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 415 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 416 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 417 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 418 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 419 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 420 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 421 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 422 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • TABLE 423 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 424 MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.5.4 UAE
      • 11.5.4.1 Increasing prevalence of fraudulent activities and high-intensity fraud-combatting regulations adopted by government to drive market
    • TABLE 425 UAE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 426 UAE: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 427 UAE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 428 UAE: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 429 UAE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 430 UAE: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 431 UAE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 432 UAE: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 433 UAE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 434 UAE: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 435 UAE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 436 UAE: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 437 UAE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 438 UAE: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 439 UAE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 440 UAE: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.5.5 KSA
      • 11.5.5.1 Guidelines adopted by Saudi Arabian Monetary Authority (SAMA) to prevent and detect fraud to boost market
    • TABLE 441 KSA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 442 KSA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 443 KSA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 444 KSA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 445 KSA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 446 KSA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 447 KSA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 448 KSA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 449 KSA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 450 KSA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 451 KSA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 452 KSA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 453 KSA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 454 KSA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 455 KSA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 456 KSA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.5.6 SOUTH AFRICA
      • 11.5.6.1 Growing digitalization and internet usage leading to increased frauds and cybercrimes to drive market
    • TABLE 457 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 458 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 459 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 460 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 461 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 462 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 463 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 464 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 465 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 466 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 467 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 468 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 469 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 470 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 471 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 472 SOUTH AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.5.7 REST OF MIDDLE EAST & AFRICA
    • TABLE 473 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 474 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 475 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 476 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 477 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 478 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 479 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 480 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 481 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 482 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 483 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 484 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 485 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 486 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 487 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 488 REST OF MIDDLE EAST & AFRICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
  • 11.6 LATIN AMERICA
    • 11.6.1 LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET DRIVERS
    • 11.6.2 LATIN AMERICA: RECESSION IMPACT
    • 11.6.3 LATIN AMERICA: REGULATORY LANDSCAPE
    • TABLE 489 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 490 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 491 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 492 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 493 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 494 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 495 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 496 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 497 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 498 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 499 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 500 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 501 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 502 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 503 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 504 LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • TABLE 505 LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 506 LATIN AMERICA: FRAUD DETECTION AND PREVENTION MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 11.6.4 BRAZIL
      • 11.6.4.1 Increased digital transactions, rising eCommerce platforms, and need for innovative solutions to combat fraud to drive market
    • TABLE 507 BRAZIL: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 508 BRAZIL: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 509 BRAZIL: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 510 BRAZIL: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 511 BRAZIL: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 512 BRAZIL: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 513 BRAZIL: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 514 BRAZIL: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 515 BRAZIL: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 516 BRAZIL: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 517 BRAZIL: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 518 BRAZIL: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 519 BRAZIL: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 520 BRAZIL: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 521 BRAZIL: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 522 BRAZIL: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.6.5 MEXICO
      • 11.6.5.1 Increased fraud and financial crimes, need for cybersecurity solutions, and growing fintech industry to drive market
    • TABLE 523 MEXICO: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 524 MEXICO: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 525 MEXICO: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 526 MEXICO: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 527 MEXICO: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 528 MEXICO: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 529 MEXICO: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 530 MEXICO: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 531 MEXICO: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 532 MEXICO: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 533 MEXICO: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 534 MEXICO: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 535 MEXICO: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 536 MEXICO: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 537 MEXICO: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 538 MEXICO: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.6.6 COLOMBIA
      • 11.6.6.1 Increased financial crimes and additional investment in advanced technologies to drive market
    • TABLE 539 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 540 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 541 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 542 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 543 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 544 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 545 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 546 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 547 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 548 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 549 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 550 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 551 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 552 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 553 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 554 COLOMBIA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)
    • 11.6.7 REST OF LATIN AMERICA
    • TABLE 555 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 556 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 557 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2017-2022 (USD MILLION)
    • TABLE 558 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SOLUTION, 2023-2028 (USD MILLION)
    • TABLE 559 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2017-2022 (USD MILLION)
    • TABLE 560 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 561 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
    • TABLE 562 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
    • TABLE 563 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 564 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 565 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 566 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 567 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 568 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY FRAUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 569 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2017-2022 (USD MILLION)
    • TABLE 570 REST OF LATIN AMERICA: FRAUD DETECTION AND PREVENTION, BY BFSI TYPE, 2023-2028 (USD MILLION)

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 HISTORICAL REVENUE ANALYSIS
    • FIGURE 38 HISTORICAL REVENUE ANALYSIS OF KEY FRAUD DETECTION AND PREVENTION VENDORS, 2017-2022 (USD MILLION)
  • 12.3 VALUATION AND FINANCIAL METRICS OF KEY FRAUD DETECTION AND PREVENTION VENDORS
    • FIGURE 39 VALUATION AND FINANCIAL METRICS OF KEY FRAUD DETECTION AND PREVENTION VENDORS
  • 12.4 FRAUD DETECTION AND PREVENTION MARKET: RANKING OF KEY PLAYERS
    • FIGURE 40 RANKING OF KEY PLAYERS
  • 12.5 MARKET SHARE ANALYSIS
    • FIGURE 41 FRAUD DETECTION AND PREVENTION MARKET SHARE, 2022
    • TABLE 571 FRAUD DETECTION AND PREVENTION MARKET: DEGREE OF COMPETITION
  • 12.6 COMPANY EVALUATION QUADRANT
    • 12.6.1 STARS
    • 12.6.2 EMERGING LEADERS
    • 12.6.3 PERVASIVE PLAYERS
    • 12.6.4 PARTICIPANTS
    • FIGURE 42 FRAUD DETECTION AND PREVENTION MARKET: KEY COMPANY EVALUATION QUADRANT (2022)
  • 12.7 COMPETITIVE BENCHMARKING
    • TABLE 572 COMPANY OFFERING FOOTPRINT
    • TABLE 573 COMPANY REGIONAL FOOTPRINT
  • 12.8 STARTUP/SME EVALUATION QUADRANT
    • 12.8.1 PROGRESSIVE COMPANIES
    • 12.8.2 RESPONSIVE COMPANIES
    • 12.8.3 DYNAMIC COMPANIES
    • 12.8.4 STARTING BLOCKS
    • FIGURE 43 FRAUD DETECTION AND PREVENTION MARKET: STARTUP EVALUATION QUADRANT (2022)
    • 12.8.5 COMPETITIVE BENCHMARKING FOR STARTUPS/SMES
    • TABLE 574 LIST OF STARTUPS/SMES AND FUNDING
    • TABLE 575 REGIONAL FOOTPRINT OF STARTUPS/SMES
  • 12.9 COMPETITIVE SCENARIOS AND TRENDS
    • 12.9.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • TABLE 576 FRAUD DETECTION AND PREVENTION MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2022-APRIL 2023
    • 12.9.2 DEALS
    • TABLE 577 FRAUD DETECTION AND PREVENTION MARKET: DEALS, JANUARY 2022-APRIL 2023

13 COMPANY PROFILES

  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
  • (Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)**
    • 13.2.1 FISERV
    • TABLE 578 FISERV: BUSINESS OVERVIEW
    • FIGURE 44 FISERV: COMPANY SNAPSHOT
    • TABLE 579 FISERV: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 580 FISERV: PRODUCT LAUNCHES
    • TABLE 581 FISERV: DEALS
    • 13.2.2 FIS GLOBAL
    • TABLE 582 FIS GLOBAL: BUSINESS OVERVIEW
    • FIGURE 45 FIS GLOBAL: COMPANY SNAPSHOT
    • TABLE 583 FIS GLOBAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 584 FIS GLOBAL: PRODUCT LAUNCHES
    • TABLE 585 FIS GLOBAL: DEALS
    • 13.2.3 LEXISNEXIS RISK SOLUTIONS
    • TABLE 586 LEXISNEXIS RISK SOLUTIONS: BUSINESS OVERVIEW
    • TABLE 587 LEXISNEXIS RISK SOLUTIONS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 588 LEXISNEXIS RISK SOLUTIONS: PRODUCT LAUNCHES
    • TABLE 589 LEXISNEXIS RISK SOLUTIONS: DEALS
    • 13.2.4 BAE SYSTEMS
    • TABLE 590 BAE SYSTEMS: BUSINESS OVERVIEW
    • FIGURE 46 BAE SYSTEMS: COMPANY SNAPSHOT
    • TABLE 591 BAE SYSTEMS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 592 BAE SYSTEMS: DEALS
    • 13.2.5 TRANSUNION
    • TABLE 593 TRANSUNION: BUSINESS OVERVIEW
    • FIGURE 47 TRANSUNION: COMPANY SNAPSHOT
    • TABLE 594 TRANSUNION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 595 TRANSUNION: PRODUCT LAUNCHES
    • TABLE 596 TRANSUNION: DEALS
    • 13.2.6 EXPERIAN
    • TABLE 597 EXPERIAN: BUSINESS OVERVIEW
    • FIGURE 48 EXPERIAN: COMPANY SNAPSHOT
    • TABLE 598 EXPERIAN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 599 EXPERIAN: PRODUCT LAUNCHES
    • TABLE 600 EXPERIAN: DEALS
    • 13.2.7 NICE ACTIMIZE
    • TABLE 601 NICE ACTIMIZE: BUSINESS OVERVIEW
    • FIGURE 49 NICE ACTIMIZE: COMPANY SNAPSHOT
    • TABLE 602 NICE ACTIMIZE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 603 NICE ACTIMIZE: PRODUCT LAUNCHES
    • TABLE 604 NICE ACTIMIZE: DEALS
    • 13.2.8 ACI WORLDWIDE
    • TABLE 605 ACI WORLDWIDE: BUSINESS OVERVIEW
    • FIGURE 50 ACI WORLDWIDE: COMPANY SNAPSHOT
    • TABLE 606 ACI WORLDWIDE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 607 ACI WORLDWIDE: PRODUCT LAUNCHES
    • TABLE 608 ACI WORLDWIDE: DEALS
    • 13.2.9 SAS INSTITUTE
    • TABLE 609 SAS INSTITUTE: BUSINESS OVERVIEW
    • TABLE 610 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 611 SAS INSTITUTE: DEALS
    • 13.2.10 RSA SECURITY
    • TABLE 612 RSA SECURITY: BUSINESS OVERVIEW
    • TABLE 613 RSA SECURITY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 614 RSA SECURITY: PRODUCT LAUNCHES
    • TABLE 615 RSA SECURITY: DEALS
    • 13.2.11 SAP
    • TABLE 616 SAP: BUSINESS OVERVIEW
    • FIGURE 51 SAP: COMPANY SNAPSHOT
    • TABLE 617 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 618 SAP: DEALS
    • 13.2.12 FICO
    • TABLE 619 FICO: BUSINESS OVERVIEW
    • FIGURE 52 FICO: COMPANY SNAPSHOT
    • TABLE 620 FICO: PRODUCTS/ SOLUTIONS/SERVICES OFFERED
    • TABLE 621 FICO: DEALS
    • 13.2.13 SOFTWARE AG
    • TABLE 622 SOFTWARE AG: BUSINESS OVERVIEW
    • FIGURE 53 SOFTWARE AG: COMPANY SNAPSHOT
    • TABLE 623 SOFTWARE AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 624 SOFTWARE AG: DEALS
    • 13.2.14 MICROSOFT
    • TABLE 625 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 54 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 626 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 627 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 628 MICROSOFT: DEALS
    • 13.2.15 NEUSTAR
    • TABLE 629 NEUSTAR: BUSINESS OVERVIEW
    • TABLE 630 NEUSTAR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 631 NEUSTAR: PRODUCT LAUNCHES
    • TABLE 632 NEUSTAR: DEALS
    • 13.2.16 F5
    • TABLE 633 F5: BUSINESS OVERVIEW
    • FIGURE 55 F5: COMPANY SNAPSHOT
    • TABLE 634 F5: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 635 F5: PRODUCT LAUNCHES
    • TABLE 636 F5: DEALS
    • 13.2.17 INGENICO
    • TABLE 637 INGENICO: BUSINESS OVERVIEW
    • TABLE 638 INGENICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 13.2.18 AWS
    • TABLE 639 AWS: BUSINESS OVERVIEW
    • FIGURE 56 AWS: COMPANY SNAPSHOT
    • TABLE 640 AWS: PRODUCTS/ SOLUTIONS/SERVICES OFFERED
    • TABLE 641 AWS: PRODUCT LAUNCHES
    • 13.2.19 BOTTOMLINE TECHNOLOGIES
    • TABLE 642 BOTTOMLINE TECHNOLOGIES: BUSINESS OVERVIEW
    • TABLE 643 BOTTOMLINE TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 644 BOTTOMLINE TECHNOLOGIES: PRODUCT LAUNCHES
    • TABLE 645 BOTTOMLINE TECHNOLOGIES: DEALS
    • 13.2.20 CLEARSALE
    • TABLE 646 CLEARSALE: BUSINESS OVERVIEW
    • FIGURE 57 CLEARSALE: COMPANY SNAPSHOT
    • TABLE 647 CLEARSALE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 648 CLEARSALE: DEALS
    • 13.2.21 GENPACT
    • TABLE 649 GENPACT: BUSINESS OVERVIEW
    • FIGURE 58 GENPACT: COMPANY SNAPSHOT
    • TABLE 650 GENPACT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • 13.3 OTHER KEY PLAYERS
    • 13.3.1 KOUNT
    • 13.3.2 SECURONIX
    • 13.3.3 ACCERTIFY
    • 13.3.4 FEEDZAI
    • 13.3.5 CASEWARE
    • 13.3.6 PERIMETER X
    • 13.3.7 ONESPAN
    • 13.3.8 SIGNIFYD
    • 13.3.9 BIOCATCH
    • 13.3.10 FRISS
    • 13.3.11 MAXMIND
    • 13.3.12 DATAVISOR
    • 13.3.13 CLEAFY
    • 13.3.14 GURUCUL
    • 13.3.15 PONDERA SOLUTIONS
    • 13.3.16 RISKIFIED
    • 13.3.17 ALLOY
    • 13.3.18 CASTLE
    • 13.3.19 SIFT
    • 13.3.20 NOFRAUD
    • 13.3.21 FEATURESPACE
    • 13.3.22 ENZOIC
    • 13.3.23 MERLON AI
    • 13.3.24 KUBIENT
    • 13.3.25 SPYCLOUD
    • 13.3.26 SEON
    • 13.3.27 NETHONE
    • 13.3.28 TRUSTCHECKR
    • 13.3.29 DEDUCE
    • 13.3.30 INCOGNIA
    • 13.3.31 RESISTANT AI
  • *Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.

14 ADJACENT MARKETS

    • TABLE 651 ADJACENT MARKETS AND FORECASTS
  • 14.1 LIMITATIONS
  • 14.2 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET
    • TABLE 652 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 653 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 654 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY SOLUTION, 2016-2021 (USD MILLION)
    • TABLE 655 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY SOLUTION, 2022-2027 (USD MILLION)
    • TABLE 656 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET SIZE, BY SERVICE, 2016-2021 (USD MILLION)
    • TABLE 657 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY SERVICE, 2022-2027(USD MILLION)
    • TABLE 658 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY SOLUTION USAGE, 2016-2021 (USD MILLION)
    • TABLE 659 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY SOLUTION USAGE, 2022-2027 (USD MILLION)
    • TABLE 660 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 661 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 662 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 663 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 664 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY BUSINESS FUNCTION, 2016-2021 (USD MILLION)
    • TABLE 665 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
    • TABLE 666 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 667 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • TABLE 668 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 669 ENTERPRISE GOVERNANCE, RISK, AND COMPLIANCE MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 14.3 ANTI-MONEY LAUNDERING MARKET
    • TABLE 670 ANTI-MONEY LAUNDERING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 671 ANTI-MONEY LAUNDERING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 672 ANTI-MONEY LAUNDERING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
    • TABLE 673 ANTI-MONEY LAUNDERING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
    • TABLE 674 ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 675 ANTI-MONEY LAUNDERING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • TABLE 676 ANTI-MONEY LAUNDERING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 677 ANTI-MONEY LAUNDERING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • TABLE 678 ANTI-MONEY LAUNDERING MARKET, BY END USER, 2016-2021 (USD MILLION)
    • TABLE 679 ANTI-MONEY LAUNDERING MARKET, BY END USER, 2022-2027 (USD MILLION)
    • TABLE 680 ANTI-MONEY LAUNDERING MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 681 ANTI-MONEY LAUNDERING MARKET, BY REGION, 2022-2027 (USD MILLION)

15 APPENDIX

  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS