市场调查报告书
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1445890
电子商务诈欺预防:全球市场占有率(2022 年)Global Market Share: eCommerce Fraud Prevention, 2022 |
预计到 2027 年,全球电子商务诈欺防制市场将以 27.60% 的复合年增长率成长。
电子商务(电子商务)诈欺预防解决方案是专门为电子商务商家和支付处理商提供诈欺侦测和管理的解决方案。 为所有交易提供全面、即时的风险监控和分析,并推动基于风险的策略,以识别所有使用者、帐户和管道的内部和外部诈欺行为。 电子商务诈欺预防解决方案可即时侦测并防止欺诈,提高订单接受率、减少退款、防止客户诈欺并增加整体收入。 此类解决方案的主要重点是改善客户体验,并让商家和支付处理商有信心专注于收入优化策略,而不是打击诈欺。 此外,先进的反诈骗平台配备了人工智慧和机器学习等新技术,透过更快地侦测和预防新的诈欺行为来帮助减少损失。
该报告将电子商务诈欺预防解决方案定义为 "使电子商务企业和支付处理商能够检测和阻止高风险交易的强大框架" 。 该解决方案使用先进的人工智慧驱动的机器学习模型、规则和自动化来即时分析和评估每笔交易的潜在风险,最大限度地减少欺诈造成的损失并提高您组织的盈利能力。
此外,监管环境变得越来越严格,不仅对诈欺管理模式而且对网路安全措施的审查也越来越严格。 全球电子商务组织和支付处理商每年都会因各种交易、电子商务和支付诈欺而遭受巨大损失。 这是因为传统的基于规则的系统无法侦测高阶风险。 因此,国际公司需要评估其现有的欺诈检测和预防策略,以主动检测和预防欺诈,最大程度地减少损失,改进欺诈调查,遵守国际规范,并提高其整体水平。我们正在考虑实施先进的欺诈检测技术,以改善客户体验。 电子商务诈欺防制解决方案可以帮助您实现这些目标。
本报告分析了全球电子商务诈欺预防市场的份额结构,包括解决方案概述、市场基本结构、按实施方法、地区、行业和客户类型划分的份额结构以及行业关係。我们将彙编并提供诸如向人们推荐的资讯。
Quadrant Knowledge Solutions Reveals that eCommerce Fraud Prevention Market is Projected to Register a CAGR of 27.60% by 2027.
The eCommerce fraud prevention solution is a specialized fraud detection and management solution targeted at eCommerce merchants and payment processors. It offers comprehensive real-time risk monitoring and analysis of all transactions and identifies internal and external frauds covering all users, accounts, and channels by driving a risk-based strategy. An eCommerce fraud prevention solution detects and prevents fraud in real-time to improve order acceptance rate, reduce chargebacks, prevent customer abuse, and improve overall revenue. The primary focus of such a solution is on enhancing customer experience and providing confidence to merchants and payment processors to focus on revenue optimization strategy rather than on fighting frauds. In addition, advanced fraud prevention platforms are powered by emerging technologies like artificial intelligence and machine learning to reduce losses through faster detection and prevention of emerging fraud.
Quadrant Knowledge Solutions defines "a robust framework that allows eCommerce businesses and payment processors to detect and stop high-risk transactions from getting processed. The solution employs AI-powered advanced machine learning models, rules, and automation to analyze and assess each transaction's potential risk in real-time to minimize the losses due to fraud and increase the organization's profitability."
Additionally, regulatory environments are becoming stringent, with increasing scrutiny on cybersecurity measures as well as fraud management models. Global eCommerce organizations and payment processors are incurring huge losses each year due to various transaction, eCommerce, and payment frauds, as their traditional rule-based systems are ineffective in detecting advanced risks. Therefore, global organizations are evaluating their existing fraud detection and prevention strategies and looking at deploying advanced fraud detection technologies to actively detect and prevent fraud, minimize losses, improve fraud investigation, comply with global norms, and enhance the overall customer experience. An eCommerce fraud prevention solution can help them achieve these goals.