市場調查報告書
商品編碼
1445897
雲端 FP&A(雲端財務規劃與分析):全球市場佔有率(2022 年)Global Market Share: Cloud Financial Planning & Analysis (Cloud FP&A), 2022 |
預計到 2027 年,全球雲端 FP&A(雲端財務規劃與分析)市場將以 13.50% 的複合年增長率成長。
財務規劃市場正在從本地部署轉向雲端部署,大多數 FP&A 部署都是 SaaS 雲端產品。 部署雲端 FP&A 解決方案可輕鬆設計、部署、使用和維護,同時提供廣泛的自助服務分析,幫助財務使用者了解最新的需求和要求,例如捲動預測、基於驅動程式的規劃和場景建模。您將能夠做出回應。 雲端 FP&A 解決方案還允許組織即時更改計劃、重新預測預算以及跨業務部門整合計劃以加快決策速度。 現代雲端 FP&A 解決方案透過效能追蹤和更快的預測等強大功能推動業務成果,從而提高營運效率並產生見解。 雲端 FP&A 的未來包括增強實現企業目標的責任、優化 IT 資源和基礎設施的利用以及透過降低成本增加收入。 Cloud FP&A 是一種整合的自動化解決方案,整合了認知大數據、機器學習和人工智慧,為過去、現在和未來的績效提供預測性和規範性資料分析、即時合規性監控和即時多維分析。
該報告將雲端 FP&A 定義為 "基於 SaaS 的解決方案,提供預算、財務規劃和預測功能以支援組織的財務策略" 。 雲端 FP&A 提供對財務和營運數據的深入分析,使組織的業務流程和策略與財務目標保持一致,並實現整體規劃方法。 雲端 FP&A 解決方案還評估您的組織實現其目標的進度,並為您的組織制定未來的目標和計劃。
雲端 FP&A 解決方案整合了人工智慧和機器學習功能,可自動執行重複任務、提高預測準確性並提供進階分析。 這些技術有助於識別金融數據中的模式、異常和趨勢,使金融專業人士能夠做出數據驅動的決策並獲得有價值的見解。 雲端 FP&A 解決方案正在超越傳統的預算和預測功能,□□涵蓋更廣泛的整合規劃功能。 這包括策略規劃、勞動力規劃、銷售和營運規劃、資本支出規劃等。 綜合規劃使組織能夠使財務規劃與營運規劃保持一致,並推動跨部門做出更好的決策。 雲端 FP&A 解決方案越來越多地與 RPA(機器人流程自動化)、區塊鏈和 IoT(物聯網)等新興技術整合。 這些整合提高了數據準確性、自動化流程並合併即時數據流,以實現更準確的財務規劃和分析。
本報告分析了全球雲端 FP&A 市場的份額結構,提供了解決方案概述、市場基本結構、按實施方法、地區、行業和公司類型劃分的份額結構,並為行業利益相關者提供資訊. 我們將整理並提供建議等資訊。
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.