市场调查报告书
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云端 FP&A(云端财务规划与分析):全球市场占有率(2022 年)Global Market Share: Cloud Financial Planning & Analysis (Cloud FP&A), 2022 |
预计到 2027 年,全球云端 FP&A(云端财务规划与分析)市场将以 13.50% 的复合年增长率成长。
财务规划市场正在从本地部署转向云端部署,大多数 FP&A 部署都是 SaaS 云端产品。 部署云端 FP&A 解决方案可轻鬆设计、部署、使用和维护,同时提供广泛的自助服务分析,帮助财务使用者了解最新的需求和要求,例如捲动预测、基于驱动程式的规划和场景建模。您将能够做出回应。 云端 FP&A 解决方案还允许组织即时更改计划、重新预测预算以及跨业务部门整合计划以加快决策速度。 现代云端 FP&A 解决方案透过效能追踪和更快的预测等强大功能推动业务成果,从而提高营运效率并产生见解。 云端 FP&A 的未来包括增强实现企业目标的责任、优化 IT 资源和基础设施的利用以及透过降低成本增加收入。 Cloud FP&A 是一种整合的自动化解决方案,整合了认知大数据、机器学习和人工智慧,为过去、现在和未来的绩效提供预测性和规范性资料分析、即时合规性监控和即时多维分析。
该报告将云端 FP&A 定义为 "基于 SaaS 的解决方案,提供预算、财务规划和预测功能以支援组织的财务策略" 。 云端 FP&A 提供对财务和营运数据的深入分析,使组织的业务流程和策略与财务目标保持一致,并实现整体规划方法。 云端 FP&A 解决方案还评估您的组织实现其目标的进度,并为您的组织制定未来的目标和计划。
云端 FP&A 解决方案整合了人工智慧和机器学习功能,可自动执行重复任务、提高预测准确性并提供进阶分析。 这些技术有助于识别金融数据中的模式、异常和趋势,使金融专业人士能够做出数据驱动的决策并获得有价值的见解。 云端 FP&A 解决方案正在超越传统的预算和预测功能,□□涵盖更广泛的整合规划功能。 这包括策略规划、劳动力规划、销售和营运规划、资本支出规划等。 综合规划使组织能够使财务规划与营运规划保持一致,并推动跨部门做出更好的决策。 云端 FP&A 解决方案越来越多地与 RPA(机器人流程自动化)、区块链和 IoT(物联网)等新兴技术整合。 这些整合提高了数据准确性、自动化流程并合併即时数据流,以实现更准确的财务规划和分析。
本报告分析了全球云端 FP&A 市场的份额结构,提供了解决方案概述、市场基本结构、按实施方法、地区、行业和公司类型划分的份额结构,并为行业利益相关者提供资讯. 我们将整理并提供建议等资讯。
Quadrant Knowledge Solutions Reveals that Cloud Financial Planning & Analysis (Cloud FP&A) Market is Projected to Register a CAGR of 13.50% by 2027.
The financial planning market has seen a shift from on-premises to cloud deployment leading to the majority of FP&A deployment to be SaaS cloud offerings. Deployment of Cloud Financial Planning and Analysis Cloud (FP&A) solutions leads to ease of design, implementation, use and maintenance while offering extensive self-servicing analytics that helps finance users address modern demands and requirement such as rolling forecasts, driver-based planning, and scenario modeling. Cloud FP&A solutions also allows organizations to alter plans, reforecast budgets in real time, and integrate planning across business units to speed up the decision making, which, in turn, improves the accuracy and reliability of plans and forecasts. Modern cloud FP&A solutions drive business results through robust functionalities such as performance tracking and accelerating forecasting to enhance operational efficiency and generate insights. The future of cloud FP&A includes increased accountability to achieve corporate goals, optimized used of IT resources and infrastructure, and improved revenue along with cost reductions. Cloud FP&A, with its integrated automation solutions, brings together cognitive big data, machine learning, and artificial intelligence to provide predictive and prescriptive data analysis on past, present, and future performances, real-time monitoring for compliances, and real-time multi-dimensional analysis.
Quadrant Knowledge Solutions defines Cloud Financial Planning & Analysis (Cloud FP&A) as "A SaaS based solution that offers budgeting, financial planning, and forecasting features to support organizations' financial strategy. It offers in-depth analysis of both financial and operational data which helps to align an organization's business processes and strategies with financial goals enabling a holistic planning approach. Cloud financial planning and analysis solutions also evaluate organizations' progress toward achieving their goal, as well as maps out future goals and plans for organizations."
Cloud FP&A solutions have been integrating AI and machine learning capabilities to automate repetitive tasks, improve forecasting accuracy, and provide advanced analytics. These technologies help identify patterns, anomalies, and trends in financial data, enabling finance professionals to make data-driven decisions and gain valuable insights. Cloud FP&A solutions are evolving beyond traditional budgeting and forecasting functions to encompass broader integrated planning capabilities. This includes strategic planning, workforce planning, sales and operations planning, and capital expenditure planning. Integrated planning allows organizations to align financial plans with operational plans and drive better decision-making across departments. Cloud FP&A solutions are increasingly integrating with emerging technologies such as robotic process automation (RPA), blockchain, and Internet of Things (IoT). These integrations enhance data accuracy, automate processes, and enable the incorporation of real-time data streams for more precise financial planning and analysis.