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市场调查报告书
商品编码
1687235
诈骗侦测与预防 (FDP) - 市场占有率分析、产业趋势与统计、成长预测 (2025-2030)Fraud Detection and Prevention (FDP) - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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预计 2025 年诈骗侦测与预防市场规模为 581.8 亿美元,到 2030 年将达到 1,539.1 亿美元,预测期内(2025-2030 年)的复合年增长率为 21.48%。
诈欺侦测通常是公司损失预防策略的核心要素,在某些情况下,也是组织更广泛的反洗钱 (AML) 合规工作的一部分。当诈欺检测和相关功能嵌入更广泛的反洗钱背景中时,两者的结合有时被称为「诈欺和反洗钱」或「FRAML」。
诈欺侦测可在诈欺活动发生之前或发生时发现它,从而帮助企业保护客户交易和帐户。根据美国联邦调查局统计,2022年美国老年诈骗受害者平均每人损失超过35,101美元,整体损失超过30亿美元。 2021年,全球诈骗损失将超过550亿美元,科技使非法资金得以跨国流动。
此外,合成身分诈骗导緻美国金融机构在 2023 年损失约 200 亿美元。随着世界数位化,诈骗也不断改进其手段,要求企业改善其诈骗预防措施,以保护其资产和客户免受诈骗。
随着诈骗类型变得越来越多样化和复杂,加强监管和执法将影响全面的合规要求。虽然如今公司可能没有被直接要求这样做,但诈欺是洗钱的先决条件,并可能导致更广泛的犯罪网络。将诈欺纳入您的整体风险管理策略可以提高消费者保护、合规性、损失控制和金融犯罪预防。
诈骗机制的效率根据客户期望支持每个行业。各行业的诈欺行为包括卡片付款诈骗、医疗保健报销诈骗、资料异常、可疑活动、洗钱和各种交易风险。
由于存在各种系统和防诈骗工具,因此很难涵盖所有防线并整体情况您的风险敞口。此外,这可能会导致糟糕的客户体验。当消费者透过多个供应商在不同管道进行不同类型的诈欺侦测时,很难实施一致、全面的方法和适当的风险平衡。预计这将抑制市场成长。
然而,我们正在进行投资以改善诈欺基础设施和预防控制框架。该公司正在将行为分析与机器学习和自动警报生成相结合,以更好地防止不良行为者访问其网路。具体来说,机器学习和行为分析可用于识别诈欺模式,使组织能够制定适应最新诈欺趋势的敏捷预防措施。加强诈欺培训和意识将加强公司的预防策略并有助于打击诈欺。因此,由于未来对诈欺检测解决方案的投资增加,预计预测期内市场将会成长。
诈骗侦测和预防市场分散且竞争激烈。市场的主要企业包括 SAP SE、IBM Corporation、SAS Institute Inc.、ACI Worldwide Inc. 等。然而,只有少数新参与企业能够透过其产品线的重大创新吸引大规模投资进入市场。
2024年3月,ACI Worldwide(ACI)宣布与Comforte AG建立策略伙伴关係,以协助客户遵守PCI DSS(支付卡产业资料安全)标准。 ACI 和 Comforte 将共同努力以满足新的 PCI DSS 标准 (v4.0)。作为合作的一部分,Comforte 将其资料为中心的解决方案列入 ACI,这些解决方案经过 ACI 的全面测试,以确保与 ACI 解决方案的互通性。
2023 年 10 月,Fiserv 宣布已从 Fiserv 手中收购巴西领先的 Software Express SiTef® 经销商 Skytef。 Skytef 将 Fiserv 在巴西的经销网路扩展到 1,000 多个合作伙伴,其中包括 600 多家独立软体供应商 (ISV) 和 27,000 多家商家。
The Fraud Detection and Prevention Market size is estimated at USD 58.18 billion in 2025, and is expected to reach USD 153.91 billion by 2030, at a CAGR of 21.48% during the forecast period (2025-2030).
Fraud detection is typically a central component of a firm's loss prevention strategy, and in some cases, it is part of an organization's broader AML (anti-money laundering) compliance efforts. When fraud detection and related functions are incorporated into a broader AML context, the combination of the two is sometimes called "Fraud and Anti-Money Laundering" or "FRAML."
Fraud detection helps companies protect their customers' transactions and accounts by spotting fraudulent activity before or as it occurs. According to the FBI, elder fraud victims lost an average of over USD 35,101 per victim in the United States in 2022, resulting in an overall loss of over USD 3 billion. Global fraud losses in 2021 exceeded USD 55 billion with technology enabling illegal funds to cross borders.
Moreover, synthetic identity fraud cost US financial institutions an estimated USD 20 billion in losses in 2023. As the world becomes more digital, fraudsters are continuously evolving their tactics, and businesses need to improve their fraud prevention measures to protect assets and clients from fraud.
As the world comes to terms with fraud's increasing diversity and sophistication of typologies, more regulation and enforcement will impact compliance requirements across the board. While a firm may not be directly subject to direct requirements today, fraud is a prerequisite for money laundering and can be linked to a broader criminal network. Firms incorporating fraud into their overall risk management strategy can improve consumer protection, compliance, loss management, and financial crime prevention.
The efficiency of fraud mechanisms backs each vertical based on customer expectations. Fraud across various industries may include card payment fraud, healthcare reimbursement fraud, data anomalies, suspicious activities, money laundering, and various transaction risks.
Various systems or fraud prevention tools make it difficult to cover all lines of defense and maintain a holistic view of risk exposure. Furthermore, they can result in a poor customer experience. If a consumer is using multiple vendors for different types of fraud detection across various channels, it is challenging to implement a consistent, integrated approach and the right risk balance. This is expected to restrain the market's growth.
However, investments are being made to improve the fraud infrastructure and the preventative control framework. Firms are integrating machine learning and automated alert generation with behavioral analytics to better prevent bad actors from accessing their networks. In particular, machine learning and behavioral analytics will help identify fraudulent patterns that enable agile preventative controls to be developed and adapted to the latest fraud trends. Increasing fraud training and awareness will strengthen a company's prevention strategy and help fight fraud. Thus, with the growth in future investment in fraud detection solutions, the market is expected to grow in the forecasted period.
The fraud detection and prevention market is fragmented and very competitive. The major players in the market are SAP SE, IBM Corporation, SAS Institute Inc., ACI Worldwide Inc., and many more. However, owing to significant innovations in product lines, only some new entrants are attracting major investments into the market.
In March 2024, ACI Worldwide (ACI) announced a strategic partnership with comforte AG (comforte AG) to support customers' compliance with PCI DSS (Payment Card Industry Data Security) standards. ACI and Comforte will work together to meet the new PCI DSS standards (v4.0). As part of the partnership, Comforte will provide ACI with data-centric solutions that ACI has thoroughly tested to ensure they are interoperable with ACI solutions.
In October 2023, Fiserv announced that it had acquired Skytef, a leading distributor of Software Express' SiTef(R) in Brazil, from Fiserv. Skytef brings Fiserv's distribution network in Brazil to over 1,000 partners, including more than 600 Independent Software Vendors (ISVs) and 27,000 merchants.