![]() |
市场调查报告书
商品编码
1403547
到 2030 年的金融分析市场预测:按组件、部署模式、组织规模、应用程式、最终用户和区域进行的全球分析Financial Analytics Market Forecasts to 2030 - Global Analysis By Component (Services, Solution, Data Integration Tools, Database Management & Planning & Other Components), Deployment Mode, Organization Size, Application, End User & By Geography |
根据 Stratistics MRC 的数据,2023 年全球金融分析市场规模将达到 108 亿美元,预计到 2030 年将达到 242 亿美元,预测期内复合年增长率为 12.3%。
财务分析是建立专案分析以预测未来潜在财务状况并为特定业务问题提供答案的过程。财务分析旨在透过提供可靠检验的资讯而资讯仅仅依赖直觉来为企业策略提供资讯。财务分析提供了有关公司财务资讯的多个观点,并提供了支援策略选择和行动的见解,从而提高了公司的整体绩效。
NewVantage Partners 的 2023 年数据和分析领导力年度高管调查显示,企业对资料和分析的投资仍然强劲,而且只会增加。 2022年,受调查的116家财富1000强和大型企业中,87.8%的企业表示在资料和分析方面的投资将大幅增加。
市场参与企业透过采用广泛的运算设备、先进的储存能力和新颖的分析工具开闢了新的机会。最终用户公司现在可以透过以更低的成本从以前无法访问的位置获取即时资料来提高财务绩效和效率。此外,财务分析软体还可以减少人为错误的可能性,而人为错误通常会对企业造成巨大损失。
最终用户部门目前缺乏合格的人员,例如分析师和资料科学家,来管理和检查他们收集的资料。因此,最终用户公司必须采取更具创造性的策略来招募、培养和部署人才。因此,缺乏使用财务分析软体的合格人员阻碍了市场的扩张。
使用预测分析来解释财务资料,以确定未来事件的机率。组织越来越多地使用预测分析来解决困难的业务问题并提高生产力。财务部门的预测分析预计将在协助决策者应对日益复杂和不可预测的本地和全球经济状况发挥关键作用。
由于敏感的金融资料作为金融分析的一部分进行处理,资料安全已成为预计阻碍市场扩张的关键问题。云端中处理和储存的资料量持续增加,增加了网路攻击、资料遗失和未授权存取的可能性。缺乏合格的人才是预计限制该行业扩张的另一个关键问题。大量研究表明,到 2022 年,资料科学工作者将短缺 15 万至 200 万人。使用财务分析工具需要具备多种能力的专业人员,包括逻辑思考能力、强大的统计理解、结果解释以及将见解转化为可行的策略。
全球市场受到冠状病毒大流行的严重影响。疫情爆发的最初几个月,金融市场出现了巨大的波动和不确定性。许多行业遭受重大干扰,投资者因市场剧烈波动而减少押注。由于多重限制和存在风险,对开发中国家中小企业(SME)的影响是巨大的。结果,他们的IT投资计划被推迟或取消。然而,与大型企业 IT 投资类似,大型企业IT基础设施比小型企业更不容易受到此类问题的影响。
云端基础的财务分析解决方案的采用受到 24/7 可用性、敏捷性、易于扩展性和部署速度等因素的推动。此外,企业可以透过任何管道从任何来源大规模获取资料。此外,大多数企业都希望提高财务绩效,因此云端基础的解决方案至关重要。云端基础的金融分析解决方案前景的进一步证据在于终端用户产业日益数位化。
投资组合管理产业预计在预测期内复合年增长率最高。金融分析市场的投资组合管理类别包括旨在指导投资组合的创建和增强的各种工具、技术和程序。其主要目的是帮助投资者(个人或机构)在平衡资讯和回报的同时做出明智的决策。此外,建立具有多种资产的多元化投资组合、使用风险管理策略来减少潜在损失、将投资组合表现与基准进行比较、配置资产以反映市场状况的变化以及调整证券选择都包含在该部分中。
在预测期内,由于与该地区最终用户行业的成长相关性很强,亚太地区占据了最大的市场份额。此外,随着更先进和更实惠的技术的出现,公司正在认识到对分析技能的需求,这是行业研究的基础。此外,各最终用户产业对巨量资料技术的利用预计将推动该地区的分析服务市场,其中金融服务业在中国等国家处于领先地位。
预计亚太地区在预测期内将出现良好的成长。随着全部区域的组织迅速采用人工智慧来自动化日益重复的任务,下一代财务和核算高管将能够为员工提供更有效的工具。这些进步预计将进一步加强市场供应并加速市场扩张。
According to Stratistics MRC, the Global Financial Analytics Market is accounted for $10.8 billion in 2023 and is expected to reach $24.2 billion by 2030 growing at a CAGR of 12.3% during the forecast period. Financial analytics is the process of creating ad hoc analyses to forecast potential future financial situations and provide answers to particular business concerns. Financial analytics aims to inform corporate strategy by providing reliable, verifiable information instead of relying entirely on intuition. It offers several viewpoints on the financial information of a certain company, offering insights that might support strategic choices and activities that raise the company's general performance.
According to the NewVantage Partners survey "Data and Analytics Leadership Annual Executive Survey 2023", corporate data and analytics investment remains robust and continues to increase. In 2022, 87.8% of 116 various Fortune 1000 and leading organizations surveyed noted that investment in data and analytics increased significantly.
Market participants have new opportunities as a result of the adoption of widespread computing devices, sophisticated storage capacities, and novel analytic tools. At present, end-user firms can enhance their financial performance and efficiency by obtaining real-time data from previously inaccessible places at a reduced cost. Moreover, financial analytics software additionally reduces the possibility of human error, which typically results in enormous losses for businesses.
The end-user sectors currently suffer from a shortage of qualified workers, such as analysts and data scientists, to manage and examine the collected data. Because of this, end-user firms must adopt a more creative strategy for hiring, developing, and deploying personnel. Therefore, the market's expansion is hampered by a shortage of qualified personnel to use financial analytics software.
Financial data is interpreted using predictive analytics to determine the probability of future events. Predictive analytics is being used by organizations more often to solve challenging business issues and boost output. Predictive analytics for finance functions is anticipated to play a critical role in assisting decision-makers in addressing the increasingly complex and unpredictable local and global economic conditions.
As sensitive financial data is processed as part of financial analytics, data security has emerged as a key issue that is expected to impede market expansion. The amount of data being processed and kept in the cloud is growing, raising the possibility of cyberattacks, data loss, and unauthorized access. The lack of qualified workers is yet another important issue that is anticipated to restrain the expansion of the sector. Numerous surveys indicate that in 2022, there will be a shortage of between 1,50,000 and 2,00,000 data science workers. Professionals with a variety of abilities are needed to use financial analytics tools, including the capacity for logical thought, superior statistical understanding, result interpretation, and the conversion of insights into practical strategies.
The global market was significantly impacted by the coronavirus pandemic. The early months of the epidemic witnessed tremendous volatility and uncertainty in the financial markets. Many industries witnessed significant disruptions, and investors reduced their bets as a result of uncommon fluctuations in the market. The impact on small and medium-sized enterprises (SMEs) in developing nations is significant because of multiple levels of constraints and survival hazards. Their plans for IT investment were subsequently delayed or halted as a result. However, in keeping with the larger organizations' IT spending, major enterprises' IT infrastructure was less susceptible to these kinds of problems than that of SMEs.
Cloud segment dominated the largest share over the projected period, due to the adoption of cloud-based financial analytics solutions is mostly driven by factors like 24x7 availability, agility, ease of scalability, and speed of deployment. Additionally, it enables large-scale incorporation of data from all sources across all channels for enterprises. Moreover, because most companies want to increase their financial performance, cloud-based solutions are essential because they require less money for installation, upkeep, and operations. Further evidence of the cloud-based financial analytics solution's promising future comes from the increasing digitization of end-user sectors.
Portfolio management segment is expected to have the highest CAGR during the forecast period. The financial analytics market's Portfolio Management category includes a range of instruments, techniques, and procedures intended to direct the creation and enhancement of investment portfolios. Its primary objective is to assist investors-individuals or institutions-in making well-informed decisions that strike a balance between risk and reward. Additionally, creating diversified portfolios with a variety of assets, using risk management strategies to reduce possible losses, comparing the performance of the portfolio to benchmarks, and adjusting asset allocation and security choices to reflect shifting market conditions are all included in this segment.
Over the course of the projected period, the Asia-Pacific region had the largest share of the market due to its strong growth correlation with the area's end-user industries. Additionally, as more advanced and reasonably priced technology becomes available, businesses realize they require analytics skills, which is driving the industry beneath research. Furthermore, the use of big data technologies by a variety of end-user industries is anticipated to propel the analytics services market in this region, with the financial services industry leading the pace in nations like China.
Asia Pacific region is estimated to witness lucrative growth over the forecast period. The next generation of finance and accounting directors will be able to supply their workforce with more effective tools as organizations throughout the area rapidly implement AI to automate a growing amount of repetitive work. These kinds of advancements will enhance the market's offerings even more, which will accelerate its expansion.
Some of the key players in Financial Analytics market include Deloitte LLP, Hitachi Vantara, IBM Corporation, International Business Machine Corporation, Microsoft Corporation, Oracle Corporation, Rosslyn Data Technologies, SAP SE, SAS Institute, Symphony Teleca Services, Inc, Teradata Corporation and TIBCO Software Inc.
In March 2023, Epicor acquired DSPanel, a global provider of cloud-based Financial Planning and Analysis (FP&A) solutions, and an existing Epicor ISV partner. The acquisition extends the company's portfolio of financial management solutions, helping makers, sellers, and movers worldwide streamline and simplify budgeting, forecasting, planning, scenario modeling, and financial reporting.
In September 2022, Microsoft announced that Majid Al Futtaim, Retail operator of the Carrefour retail brand across 16 countries in the Middle East, Africa, and Asia - has transformed its financial planning and analysis (FP&A) capabilities through the power of the trusted, intelligent, versatile Microsoft Azure Data Platform. Majid Al Futtaim Retail's finance team leveraged the Azure Analytics Platform to fully automate financial and operational reporting and create a single source of truth for decision-makers.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.