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預防金融犯罪：細分分析、主要趨勢和市場預測 (2023-2027)
市場調查報告書
商品編碼
1186910

預防金融犯罪：細分分析、主要趨勢和市場預測 (2023-2027)

Financial Crime Prevention: Segment Analysis, Key Trends and Market Forecasts 2023-2027
出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
簡介目錄

全球在金融犯罪預防工具上的軟件支出預計將從 2023 年的 221 億美元增長 30% 到 2027 年的 287 億美元以上。 這在一定程度上是由於網絡犯罪分子通過瞄准通過數字渠道進行的不斷增長的支付交易量來最大化經濟收益的策略。

在本報告中，我們分析了全球金融犯罪預防市場，概述了技術、主要類型（欺詐檢測、KYC、KYB 等）、整體市場規模（支出）以及前景趨勢（5 年），按行業、地區和行業劃分的詳細趨勢、市場競爭結構、未來增長潛力和挑戰、主要公司概況（共 21 家公司）等。

回答的主要問題

  • 1. 到 2027 年，金融犯罪預防市場的市場規模前景如何？
  • 2. 細分市場如何使用金融犯罪防範工具？
  • 3. 到 2027 年，金融犯罪預防市場面臨哪些挑戰？
  • 4. 誰是這個領域的主要顛覆者，供應商正在採取什麼策略？
  • 5. 到 2027 年，金融犯罪預防軟件供應商將如何發展？

主要市場統計數據

市場規模（2023 年）： 221 億美元
市場規模（2027 年）： 288 億美元
市場增長率（2023-2027）： 30%

主要特點

  • 基準行業預測：按地區（共 8 個地區）、按國家（共 60 個國家）
    • 北美
      • 加拿大、美國
    • 拉丁美洲
      • 阿根廷、巴西、智利、哥倫比亞、厄瓜多爾、墨西哥、秘魯、烏拉圭
    • 西歐
      • 奧地利、比利時、丹麥、芬蘭、法國、德國、希臘、愛爾蘭、意大利、荷蘭、挪威、葡萄牙、西班牙、瑞典、瑞士、英國
    • 中歐和東歐
      • 克羅地亞、捷克共和國、匈牙利、波蘭、羅馬尼亞、俄羅斯、土耳其、烏克蘭
    • 遠東/中國
      • 中國、香港、日本、韓國
    • 印度次大陸
      • 孟加拉國、印度、尼泊爾、巴基斯坦
    • 其他亞太國家
      • 澳大利亞、印度尼西亞、馬來西亞、新西蘭、菲律賓、新加坡、泰國、越南
    • 非洲/中東
      • 阿爾及利亞、埃及、以色列、肯尼亞、科威特、尼日利亞、卡塔爾、沙特阿拉伯、南非、阿拉伯聯合酋長國

公司分析

  • Juniper Research 競爭對手排行榜公司：Abrigo、Allsec Technologies、AML360、ComplyAdvantage、DataVisor、EastNets、Featurespace、Feedzai、FICO、Finacus、GBG、IDMERIT、IMTF、Jumio Corporation、LexisNexis Risk Solutions、 NameScan、Napier、NICE Actimize、Riking、Trulioo、Verafin
  • 提及的公司：4Stop、Accel-KKR、Acuant、Advanced Fraud Solutions、Airbnb、空中客車、亞馬遜、美國航空公司、美國運通、澳新銀行、阿拉伯-約旦投資銀行、ARIC、Avant、Bambu System、美國銀行、銀行家工具箱、BankLabs、Banque Cantonale de Friboorg、巴克萊、BCS Global Markets、Beam、Beepl、BehavioSec、Betfair、Binance、Bloomberg、Blumberg Capital、BNP Paribas、Capgemini、Centana Growth Partners、Citi Ventures、City銀行、CloudCheck、Crédit Agricole、Crédit Suisse、CreditInfo、CRIF、Curve、DBS、De Nederlandsche Bank、德勤、道瓊斯、dun&bradstreet、EasyJet、Emailage、Equifax、Everis、Experian、EZMCOM Inc、 FARIN, Fenergo, Funding Circle, Gamble Aware, Global Financial Integrity, Goldman Sachs, Great Hill Partners, Guardian Gold, Hannamax Hi-Tech, HelloFlow, Hewlett Packard Enterprise, HSBC, ID Mission, IDology, million, Index Ventures, 興業銀行韓國、ING、ISG、摩根大通、畢馬威、樂高、Lemonway、Lloyds、Luno、MainStreet Technologies、Mastercard、Matrix-Exzac、Metro Bank、Microsoft、Millennium Technology Value Pa rtners, Mitek, Monzo, 摩托羅拉, Mouro Capital, Nationwide, NatWest, Nerve, Nestle, New Day, NominoData, NortonLife Lock, O2, Oracle, Oxfam, Parashift, PassFort, Paxos, Pictet, Porsche, Prudential, PwC, Q6 Cyber□□, Quess Corp、Refinitiv、Reliance Bank、Resistant AI、Revelock、Revolut、Sageworks、Santander、Sierra360、Simba、法國興業銀行、Sonda、索尼、標準銀行、渣打銀行, Stripe, 坦桑尼亞商業銀行, Telesign, 凱雷集團, Three, TransferMate, TransUnion, TruNarrative, TSB, TSYS, Veriff, Vodafone, Volkswagen, WeWork, William Hill, Worldpay

內容

第一章要點與策略建議

第 2 章金融犯罪預防：市場狀況

  • 介紹
  • 金融犯罪預防工具
    • AML（反洗錢）、KYC（了解您的客戶）、KYB（了解您的業務）
    • 交易審查
    • 行為分析
  • 司機
  • 引入金融犯罪預防系統的問題

第 3 章犯罪預防：分段分析

  • 欺詐
    • 當前狀態
    • 主要趨勢
    • 任務
    • 未來展望
  • 網絡犯罪
  • 洗錢
  • 恐怖主義融資
  • 賄賂和腐敗
  • 市場欺詐和內幕交易

第 4 章競爭對手排行榜和供應商概況

  • 為什麼閱讀這份報告？
  • 供應商簡介
    • Abrigo
      • 公司
      • 地區
      • 主要客戶和合作夥伴
      • 主要產品/服務
      • JuniperResearch 洞察：主要優勢和戰略機會
    • Allsec Technologies
    • AML360
    • ComplyAdvantage
    • DataVisor
    • Eastnets
    • Featurespace
    • Feedzai
    • FICO
    • Finacus
    • GBG
    • IDMERIT
    • IMTF
    • Jumio Corporation
    • LexisNexis Risk Solutions
    • NameScan
    • Napier
    • NICE Actimize
    • Riking
    • Trulioo
    • Verafin

第五章市場預測

  • 介紹
  • 調查方法和假設
  • 金融犯罪預防市場預測
    • 金融犯罪預防市場支出
    • 各部分的金融犯罪預防市場支出
簡介目錄

REPORT OVERVIEW

Juniper Research's new “Financial Crime Prevention” research report provides an independent analysis of the future evolution of this fast-paced market, in the wake of increasing levels of financial crime. It provides a comprehensive study of the growth in financial crime prevention solution adoption, examining how new payment types and services are changing requirements for financial institutions, and outlining the best strategies for reducing risk in this high-profile area.

The financial crime prevention research also presents insightful forecasts for the market, including software spend on financial crime prevention software solutions, broken down by fraud detection, KYC (Know Your Customer), KYB (Know Your Business) and behavioural analytics. The forecast also includes usage information in each segment, aiding reader understanding of the total market opportunity for financial crime prevention tools by 2027.

The connected services market size report positions 21 key market players in the Juniper Research Competitor Leaderboard; providing an invaluable resource for stakeholders seeking to understand the competitive landscape in this highly varied and complex market.

Key Market Statistics

Market size in 2023:$22.1bn
Market size in 2027:$28.8bn
2023 to 2027 Market Growth:30%

The research suite comprises:

  • Strategy & Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 Months' Access to harvest Online Data Platform

KEY FEATURES

  • Market Dynamics:Provides a detailed assessment of market drivers and the key market trends within the financial crime prevention market, as well as an in-depth evaluation of the future growth of the market and readiness for further disruption.
  • Segment Analysis: Analysis of how financial crime prevention systems are enabling financial institutions to cope with increased risks, alongside in-depth predictions for the future development of each of the following segments:
    • Behavioural Analytics
    • Fraud Detection
    • KYB (Know Your Business)
    • KYC (Know Your Customer)
  • Juniper Research Competitor Leaderboard:Key player capability and capacity assessment for 21 financial crime prevention solution providers; positioning them as either established leaders, leading challengers, or disruptors and challengers. Our Competitor Leaderboard scores these companies on their size of operations in the financial crime prevention space, their extent and breadth of market partnerships, the sophistication of their platforms and Juniper Research's view on each company's innovation and future business prospects. The company profiles included in Juniper Research's Financial Crime Prevention Competitor Leaderboard are the following major players:
    • Abrigo
    • Allsec Technologies
    • AML360
    • ComplyAdvantage
    • DataVisor
    • EastNets
    • Featurespace
    • Feedzai
    • FICO
    • Finacus
    • GBG
    • IDMERIT
    • IMTF
    • Jumio Corporation
    • LexisNexis Risk Solutions
    • NameScan
    • Napier
    • NICE Actimize
    • Riking
    • Trulioo
    • Verafin
  • Benchmark Industry Forecasts: 5-year forecasts for the financial crime prevention market, including total spend on financial crime prevention software solutions, split by fraud detection, know your customer, know your business and behavioural analytics segments. Data is also split by our 8 key regions and the 60 countries listed below:
  • North America:
    • Canada, US
  • Latin America:
    • Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, Uruguay
  • West Europe:
    • Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, UK
  • Central & East Europe:
    • Croatia, Czech Republic, Hungary, Poland, Romania, Russia, Turkey, Ukraine
  • Far East & China:
    • China, Hong Kong, Japan, South Korea
  • Indian Subcontinent:
    • Bangladesh, India, Nepal, Pakistan
  • Rest of Asia Pacific:
    • Australia, Indonesia, Malaysia, New Zealand, Philippines, Singapore, Thailand, Vietnam
  • Africa & Middle East:
    • Algeria, Egypt, Israel, Kenya, Kuwait, Nigeria, Qatar, Saudi Arabia, South Africa, United Arab Emirates

KEY QUESTIONS ANSWERED

  • 1. What is the anticipated market size for financial crime prevention by 2027?
  • 2. How will financial crime prevention tools be used in different segments?
  • 3. What will be the challenges in financial crime prevention by 2027?
  • 4. Who are the key disruptors in this space, and what strategies are vendors employing?
  • 5. How can financial crime prevention software vendors develop by 2027?

COMPANIES REFERENCED

  • Included in the Juniper Research Competitor Leaderboard: Abrigo, Allsec Technologies, AML360, ComplyAdvantage, DataVisor, EastNets, Featurespace, Feedzai, FICO, Finacus, GBG, IDMERIT, IMTF, Jumio Corporation, LexisNexis Risk Solutions, NameScan, Napier, NICE Actimize, Riking, Trulioo, Verafin
  • Mentioned: 4Stop, Accel-KKR, Acuant, Advanced Fraud Solutions, Airbnb, Airbus, Amazon, American Airlines, American Express, ANZ, Arab-Jordan Investment Bank , ARIC, Avant, Bambu System, Bank of America, Banker's Toolbox, BankLabs, Banque Cantonale de Friborg, Barclays, BCS Global Markets, Beam, Beepl, BehavioSec, Betfair, Binance, Bloomberg, Blumberg Capital, BNP Paribas, Capgemini, Centana Growth Partners, Citi Ventures, City Bank, CloudCheck, Crédit Agricole, Crédit Suisse, CreditInfo, CRIF, Curve, DBS, De Nederlandsche Bank, Deloitte, Dow Jones, dun&bradstreet, EasyJet, Emailage, Equifax, Everis, Experian, EZMCOM Inc, FARIN, Fenergo, Funding Circle, Gamble Aware, Global Financial Integrity, Goldman Sachs, Great Hill Partners, Guardian Gold, Hannamax Hi-Tech, HelloFlow, Hewlett Packard Enterprise, HSBC, ID Mission, IDology, illion, Index Ventures, Industrial Bank of Korea, ING, ISG, JPMorgan Chase & Co, KPMG, Lego, Lemonway, Lloyds, Luno, MainStreet Technologies , Mastercard, Matrix-Exzac, Metro Bank, Microsoft, Millennium Technology Value Partners, Mitek, Monzo, Motorola, Mouro Capital, Nationwide, NatWest, Nerve, Nestle, New Day, NominoData, NortonLife Lock, O2, Oracle, Oxfam, Parashift, PassFort, Paxos, Pictet, Porsche, Prudential, PwC, Q6 Cyber, Quess Corp , Refinitiv, Reliance Bank, Resistant AI, Revelock, Revolut, Sageworks, Santander, Sierra360, Simba, Société Générale, Sonda, Sony, Standard Bank, Standard Chartered, Stripe, Tanzania Commercial Bank, Telesign, The Carlyle Group, Three, TransferMate, TransUnion, TruNarrative, TSB, TSYS, Veriff, Vodafone, Volkswagen, WeWork, William Hill, Worldpay

DATA & INTERACTIVE FORECAST

The “Financial Crime Prevention” data includes 5-year forecasts for the financial crime prevention market, including software spend on financial crime prevention software solutions, broken down by fraud detection, KYC (Know Your Customer), KYB (Know Your Business) and behavioural analytics. The forecast also includes usage information in each segment, aiding readers' understanding of the total opportunity.

  • Geographical splits: 60 countries
  • Number of tables: 95 tables
  • Number of datapoints: Over 42,400 datapoints

harvest: Our online data platform, harvest, contains the very latest market data and is updated throughout the year. This is a fully featured platform; enabling clients to better understand key data trends and manipulate charts and tables; overlaying different forecasts within the one chart - using the comparison tool. Empower your business with our market intelligence centre, and get alerted whenever your data is updated.

Interactive Excels (IFxl): Our IFxl tool enables clients to manipulate both forecast data and charts, within an Excel environment, to test their own assumptions using the interactive scenario tool and compare selected markets side by side in customised charts and tables. IFxls greatly increase a clients' ability to both understand a particular market and to integrate their own views into the model.

FORECAST SUMMARY

Global software spend on financial crime prevention tools will exceed $28.7 billion by 2027, increasing from $22.1 billion in 2023. This growth of 30% will be driven by cybercriminals' strategies of targeting the ever-growing transaction volume of payments over digital channels to maximise financial gain.

  • The research assessed leading financial crime prevention software platforms and evaluated them on a number of criteria, including depth and breadth of offerings, service innovation and future prospects, providing an extensive analysis of the competitive landscape in this dynamic market.
  • The Competitor Leaderboard ranked the three leading vendors as follows:
    • 1. FICO
    • 2. LexisNexis Risk Solutions
    • 3. Verafin
  • The research found that FICO demonstrates a broad set of capabilities, access to high-value data for crime mitigation and impressive AI-based analytical systems within its product portfolio. Competing vendors must prioritise frequent platform updates to keep pace with rapid cybercriminal innovations and maximise their market share.
  • By 2027, fraud detection and KYC systems will account for 88% of global financial crime prevention spend, enabling financial institutions to improve the mitigation of many common crime types including account takeovers. However, as digital payments increase in popularity and omnichannel experiences become commonplace, providing comprehensive financial crime prevention packages is becoming more complex, given the number of payment platforms and processes involved.
  • In response, financial crime prevention tool vendors must use AI for intelligent verification system orchestration, enabling enterprises to adapt to increasingly complex cyberattacks, choosing the right verification capability for each scenario.

Table of Contents

1. Key Takeaways & Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Financial Crime Prevention - Market Landscape

  • 2.1. Introduction
  • 2.2. Financial Crime Prevention Tools
    • Figure 2.1: Market Segmentation
    • 2.2.1. AML, KYC & KYB (Know Your Business)
      • i. AML
      • ii. KYC
      • iii. KYB
    • 2.2.2. Transaction Screening
    • 2.2.3. Behavioural Analytics
  • 2.3. Drivers
  • 2.4. Challenges with Adopting Financial Crime Prevention Systems

3. Crime Prevention - Segment Analysis

  • 3.1. Fraud
    • 3.1.1. Current Status
    • 3.1.2. Key Developments
      • i. Machine Learning
      • ii. Artificial Intelligence
      • iii. Robotic Process Automation
    • 3.1.3. Challenges
    • 3.1.4. Future Outlook
  • 3.2. Cybercrime
    • 3.2.1. Current Status
    • 3.2.2. Key Developments
      • i. Predictive Strategies
      • ii. Leveraging Automation and Data Analytics
    • 3.2.3. Challenges
    • 3.2.4. Future Outlook
  • 3.3. Money Laundering
    • 3.3.1. Current status
    • 3.3.2. Key Developments
      • i. AI, ML and RPA to Enhance Transaction Monitoring
      • ii. Cognitive Computing
      • iii. DLT (Distributed Ledger Technology)/Blockchain
      • iv. Cloud Computing
      • v. Operational Management Solutions
    • 3.3.3. Challenges
    • 3.3.4. Future Outlook
  • 3.4. Terrorist Financing
    • 3.4.1. Current Status
    • 3.4.2. Key Developments
      • i. Big Data Analytics
      • ii. Natural Language Processing
    • 3.4.3. Challenges
    • 3.4.4. Future Outlook
  • 3.5. Bribery and Corruption
    • 3.5.1. Current Status
    • 3.5.2. Key Developments
      • i. Anomaly Detection Algorithm
      • ii. Automated Controls, Monitoring and Data Analytics
      • iii. AI
      • iv. Integration with Predictive and Behavioural Analytics
      • v. Blockchain and DLT
    • 3.5.3. Challenges
    • 3.5.4. Future Outlook
  • 3.6. Market Abuse and Insider Dealing
    • 3.6.1. Current Status
    • 3.6.2. Key Developments
      • i. AI
      • ii. Data Mining
      • iii. Advanced Analytics
    • 3.6.3. Challenges
    • 3.6.4. Future Outlook

4. Competitor Leaderboard & Vendor Profiles

  • 4.1. Why Read This Report?
    • Table 4.1: Juniper Research Competitor Leaderboard: Financial Crime Prevention Vendors Included & Product Portfolio
    • Figure 4.2: Juniper Research Competitor Leaderboard for Financial Crime Prevention Vendors
    • Table 4.3: Juniper Research Competitor Leaderboard: Financial Crime Prevention Vendors & Positioning
    • Table 4.4: Juniper Research Competitive Leaderboard Heatmap: Financial Crime Prevention Vendors
    • Table 4.5: Juniper Research Competitive Leaderboard Heatmap: Financial Crime Prevention Vendors - Continued
  • 4.2. Vendor Profiles
    • 4.2.1. Abrigo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.2. Allsec Technologies
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.3. AML360
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.4. ComplyAdvantage
      • i. Corporate
        • Table 4.6: ComplyAdvantage's Funding Rounds, 2016-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.5. DataVisor
      • i. Corporate
        • Table 4.7: DataVisor's Funding Rounds
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.6. Eastnets
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.7. Featurespace
      • i. Corporate
        • Table 4.8: Featurespace's Funding Rounds, 2012-2020
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.8. Feedzai
      • i. Corporate
        • Table 4.9: Feedzai's Funding Rounds, 2011-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.9. FICO
      • i. Corporate
        • Table 4.10: FICO's Annual Revenue, FY 2019 - 2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.10. Finacus
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.11. GBG
      • i. Corporate
        • Table 4.11: GBG's Financial Results, FY 2020-2021
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.12. IDMERIT
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.13. IMTF
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.12: IMTF: A Modular Regtech Platform for Holistic Compliance
        • Figure 4.13: IMTF 'Plug-and-Play' Approach
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.14. Jumio Corporation
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.15. LexisNexis Risk Solutions
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.16. NameScan
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.17. Napier
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • v. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.18. NICE Actimize
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.19. Riking
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.20. Trulioo
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.21. Verafin
      • i. Corporate
        • Table 4.14: Verafin's Funding Rounds, 2007-2019
      • ii. Geographic Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 4.15: Verafin's Approach
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 4.3. Juniper Research Competitor Leaderboard Assessment Methodology
  • 4.4. Limitations & Interpretation
    • Table 4.16: Juniper Research Competitor Leaderboard Scoring Criteria - Financial Crime Prevention Systems

5. Market Forecasts

  • 5.1. Introduction
  • 5.2. Methodology & Assumption
    • Figure 5.1: Fraud Detection Spend Forecast Methodology
    • Figure 5.2: KYC Forecast Methodology
    • Figure 5.3: KYB Forecast Methodology
    • Figure 5.4: Behavioural Analytics Forecast Methodology
  • 5.3. Financial Crime Prevention Forecasts
    • 5.3.1. Financial Crime Prevention Spend
      • Figure & Table 5.5: Total Spend on Financial Crime Prevention ($m), Split by 8 Key Regions, 2022-2027
    • 5.3.2. Financial Crime Prevention Spend, Split by Segment
      • Figure & Table 5.6: Total Spend on Financial Crime Prevention ($m), Spend, Split by Segment, 2022-2027
      • Table 5.7: Total Spend on Financial Crime Prevention (%), Spend Split by Segment, 2022-2027