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预防金融犯罪：细分分析、主要趋势和市场预测 (2023-2027)
市场调查报告书
商品编码
1186910

预防金融犯罪：细分分析、主要趋势和市场预测 (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个工作天内

价格
简介目录

全球在金融犯罪预防工具上的软件支出预计将从 2023 年的 221 亿美元增长 30% 到 2027 年的 287 亿美元以上。 这在一定程度上是由于网络犯罪分子通过瞄准通过数字渠道进行的不断增长的支付交易量来最大化经济收益的策略。

在本报告中，我们分析了全球金融犯罪预防市场，概述了技术、主要类型（欺诈检测、KYC、KYB 等）、整体市场规模（支出）以及前景趋势（5 年），按行业、地区和行业划分的详细趋势、市场竞争结构、未来增长潜力和挑战、主要公司概况（共 21 家公司）等。

回答的主要问题

  • 1. 到 2027 年，金融犯罪预防市场的市场规模前景如何？
  • 2. 细分市场如何使用金融犯罪防范工具？
  • 3. 到 2027 年，金融犯罪预防市场面临哪些挑战？
  • 4. 谁是这个领域的主要颠覆者，供应商正在采取什么策略？
  • 5. 到 2027 年，金融犯罪预防软件供应商将如何发展？

主要市场统计数据

市场规模（2023 年）： 221 亿美元
市场规模（2027 年）： 288 亿美元
市场增长率（2023-2027）： 30%

主要特点

  • 基准行业预测：按地区（共 8 个地区）、按国家（共 60 个国家）
    • 北美
      • 加拿大、美国
    • 拉丁美洲
      • 阿根廷、巴西、智利、哥伦比亚、厄瓜多尔、墨西哥、秘鲁、乌拉圭
    • 西欧
      • 奥地利、比利时、丹麦、芬兰、法国、德国、希腊、爱尔兰、意大利、荷兰、挪威、葡萄牙、西班牙、瑞典、瑞士、英国
    • 中欧和东欧
      • 克罗地亚、捷克共和国、匈牙利、波兰、罗马尼亚、俄罗斯、土耳其、乌克兰
    • 远东/中国
      • 中国、香港、日本、韩国
    • 印度次大陆
      • 孟加拉国、印度、尼泊尔、巴基斯坦
    • 其他亚太国家
      • 澳大利亚、印度尼西亚、马来西亚、新西兰、菲律宾、新加坡、泰国、越南
    • 非洲/中东
      • 阿尔及利亚、埃及、以色列、肯尼亚、科威特、尼日利亚、卡塔尔、沙特阿拉伯、南非、阿拉伯联合酋长国

公司分析

  • Juniper Research 竞争对手排行榜公司：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、空中客车、亚马逊、美国航空公司、美国运通、澳新银行、阿拉伯-约旦投资银行、ARIC、Avant、Bambu System、美国银行、银行家工具箱、BankLabs、Banque Cantonale de Friboorg、巴克莱、BCS Global Markets、Beam、Beepl、BehavioSec、Betfair、Binance、Bloomberg、Blumberg Capital、BNP Paribas、Capgemini、Centana Growth Partners、Citi Ventures、City银行、CloudCheck、Crédit Agricole、Crédit Suisse、CreditInfo、CRIF、Curve、DBS、De Nederlandsche Bank、德勤、道琼斯、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, 兴业银行韩国、ING、ISG、摩根大通、毕马威、乐高、Lemonway、Lloyds、Luno、MainStreet Technologies、Mastercard、Matrix-Exzac、Metro Bank、Microsoft、Millennium Technology Value Pa rtners, Mitek, Monzo, 摩托罗拉, 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、法国兴业银行、Sonda、索尼、标准银行、渣打银行, Stripe, 坦桑尼亚商业银行, Telesign, 凯雷集团, Three, TransferMate, TransUnion, TruNarrative, TSB, TSYS, Veriff, Vodafone, Volkswagen, WeWork, William Hill, Worldpay

内容

第一章要点与策略建议

第 2 章金融犯罪预防：市场状况

  • 介绍
  • 金融犯罪预防工具
    • AML（反洗钱）、KYC（了解您的客户）、KYB（了解您的业务）
    • 交易审查
    • 行为分析
  • 司机
  • 引入金融犯罪预防系统的问题

第 3 章犯罪预防：分段分析

  • 欺诈
    • 当前状态
    • 主要趋势
    • 任务
    • 未来展望
  • 网络犯罪
  • 洗钱
  • 恐怖主义融资
  • 贿赂和腐败
  • 市场欺诈和内幕交易

第 4 章竞争对手排行榜和供应商概况

  • 为什么阅读这份报告？
  • 供应商简介
    • Abrigo
      • 公司
      • 地区
      • 主要客户和合作伙伴
      • 主要产品/服务
      • JuniperResearch 洞察：主要优势和战略机会
    • 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

第五章市场预测

  • 介绍
  • 调查方法和假设
  • 金融犯罪预防市场预测
    • 金融犯罪预防市场支出
    • 各部分的金融犯罪预防市场支出
简介目录

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