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市场调查报告书
商品编码
1637596
市场占有率与预测:2023年至2028年全球支出分析工具(2 份报告合集)Market Share and Forecast: Spend Analytics Tools, 2023-2028, Worldwide (Bundle of Two Reports) |
QKS 集团透露,到2028年,支出分析市场预计将实现 16.50%的年复合成长率。
如今,支出分析应用程式已经取得了进步,可以帮助组织建议降低成本、视觉化和最佳化各个类别的支出、视觉化供应商定价结构,并协助供应商选择流程,以提高营运效率并降低成本。随着机器学习、人工智慧、自动化和 NLP 等先进分析技术的出现,支出分析得到了显着发展,能够追踪战略支出计画的结果并即时将其与原始目标进行比较。现代支出分析软体提供了有关支出模式、供应商绩效、合约合规性和其他关键指标的详细见解。这些软体目的是执行各种采购功能,例如定义业务需求、发现和管理供应商、线上谈判以及管理与各种供应商的合约。支出分析还可以提供潜在诈欺活动的即时可见性,并自动执行供应商合规性检查,降低供应商风险。
QKS 集团透露,到2028年,支出分析市场预计将实现 16.50%的年复合成长率。
如今的支出分析应用程式已从建议节约成本发展到帮助视觉化和最佳化各个类别的支出、提供供应商定价结构的可见性,并协助供应商选择流程,以提高营运效率并降低成本。机器学习、人工智慧、自动化和 NLP 等高级分析技术的出现大幅促进了支出分析,能够追踪战略支出计划的结果并即时将其与原始目标进行比较。
This product includes two reports: Market Share and Market Forecast.
QKS Group Reveals that Spend Analytics Market is Projected to Register a CAGR of 16.50% by 2028.
Today's spend analytics applications have progressed from offering cost-cutting recommendations to assisting organizations in visualizing and optimizing their spending across different categories, improving visibility into suppliers' pricing structures, and assisting in the supplier selection process to improve operational efficiency and reduce costs. With the advent of advanced analytics technologies, such as machine learning, artificial intelligence, automation, and NLP, spend analytics has evolved significantly, allowing them to track the outcome of strategic spend initiatives to compare against original goals in real-time. Modern spend analytics software provides detailed insights into spending patterns, supplier performance, contract compliance, and other critical metrics. They are designed to perform various sourcing functions, including defining business requirements, supplier discovery and management, online negotiations, and contract management with a variety of suppliers. Spend analytics also assist users with real-time visibility into potentially fraudulent activities, running automated supplier compliance checks and mitigating supplier risk.
Quadrant Knowledge Solutions defines Spend Analytics software as a "tool that gathers, cleans, clusters, categorizes, and analyses an organization's end-to-end procurement spend to identify opportunities for saving cost, increasing productivity, and enhancing supplier relationships." The tool incorporates data from various sources, including financial and third-party data, to decrease wasteful procurement spend, mitigate contract compliance risks, help make apt sourcing decisions, track and benchmark spend performance, and provide better visibility of expenditure data.
QKS Group Reveals that Spend Analytics Market is Projected to Register a CAGR of 16.50% by 2028.
Today's spend analytics applications have progressed from offering cost-cutting recommendations to assisting organizations in visualizing and optimizing their spending across different categories, improving visibility into suppliers' pricing structures, and assisting in the supplier selection process to improve operational efficiency and reduce costs. With the advent of advanced analytics technologies, such as machine learning, artificial intelligence, automation, and NLP, spend analytics has evolved significantly, allowing them to track the outcome of strategic spend initiatives to compare against original goals in real-time.
Modern spend analytics software provides detailed insights into spending patterns, supplier performance, contract compliance, and other critical metrics. They are designed to perform various sourcing functions, including defining business requirements, supplier discovery and management, online negotiations, and contract management with a variety of suppliers. Spend analytics also assist users with real-time visibility into potentially fraudulent activities, running automated supplier compliance checks and mitigating supplier risk.