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市场调查报告书
商品编码
1666210
欧洲大数据分析市场规模和预测 2021 - 2031 年、区域份额、趋势和成长机会分析报告范围:按组件、部署、应用、最终用户行业和地理划分Europe Big Data Analytics Market Size and Forecast 2021 - 2031, Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component, Deployment, Application, End-User Industry, and Geography |
欧洲大数据分析市场规模预计将从 2023 年的 754.5 亿美元增至 2031 年的 2,197.6 亿美元,2023 年至 2031 年的复合年增长率预计为 14.3%。
依国家划分,欧洲大数据分析市场分为英国、德国、法国、义大利、俄罗斯和欧洲其他地区。 2023年,英国将以显着的成长率成长。美国四大公司宣布,计划于2024年10月向英国资料基础设施投资63亿英镑(783亿美元)。 CyrusOne、ServiceNow、CloudHQ 和 CoreWeave 等几家公司都做出了大量投资,自本届政府上台以来,它们对英国资料中心的投资总额已超过 250 亿英镑(311 亿美元)。这些新设施将大大增强该国的运算能力和资料储存能力,这对于下一代基于人工智慧的技术的开发和部署至关重要。此外,这笔巨额投资凸显了英国巨量资料分析市场的快速成长,随着企业越来越意识到对强大资料基础设施的需求,该市场将继续扩大。凭藉这些新的资料中心,英国将自己定位为全球资料经济的关键参与者,提供必要的资源来支援日益增长的资料驱动解决方案、人工智慧和机器学习的需求。随着医疗保健、金融和製造业等领域对高阶资料分析的需求不断增长,英国资料基础设施的扩展对于促进创新和维持数位时代的竞争优势至关重要。这些投资的涌入增强了英国作为资料中心的地位,并推动了该国更广泛的数位转型计划
欧洲大数据分析市场分析是透过考虑以下部分来进行的:组件、应用和最终用途产业。
从组件角度来看,市场分为软体和服务。巨量资料分析软体广泛应用于各行各业,利用大量资料集的潜力来提高决策和营运效率。该软体提供了从巨量资料集群收集的大型资料集的洞察。该软体可协助业务使用者识别模式、资料趋势和异常,并将资讯整合成可理解的资料视觉化、报告和仪表板。巨量资料分析软体通常用于运行 Hadoop 的公司与巨量资料处理和分发软体结合来收集和储存资料。此外,这些巨量资料分析产品通常与资料仓储软体(公司整合资料的中央储存中心)整合。此外,它还使企业能够提取、整合和准备大量资料。因此,公司可以将所有公司资料来源整合到单一平台,以促进跨部门协作,展示和理解公司资料,促进数据驱动的决策以优化业务,并发现可以改善底线的新见解。
此外,对数据驱动决策的需求不断增加以及对云端运算的采用和投资不断增加等因素推动了欧洲巨量资料分析市场的成长。此外,GenAI 和 RAG 的不断普及预计将在未来几年为欧洲巨量资料分析市场带来新的趋势。
根据部署,欧洲巨量资料分析市场分为云端和本地。对于更快、更有效的巨量资料处理的需求日益增长,从而导致云端运算和 Apache Spark 的采用率不断上升。云端运算比本地部署(例如 Hadoop)解决方案具有多种优势,使其成为巨量资料处理的一个有吸引力的替代方案。云端部署具有多种优势,例如可以根据需求轻鬆地扩大或缩小云端服务的规模。云端部署有助于解决巨量资料的储存和处理需求。此外,由于服务分布在不同地点,使用者只需为他们消耗的资源付费。此外,透过云端部署可以减少延迟和网路滞后,从而进一步提高巨量资料应用程式的效能。此外,云端平台提供可扩展性、灵活性和成本效益,使组织无需投资昂贵的内部基础设施即可处理巨量资料的复杂性。
亚马逊网路服务公司 (Amazon Web Services Inc.)、FICO、惠普企业公司 (Hewlett Packard Enterprise Co.)、国际商业机器公司 (International Business Machines Corp.)、微软公司 (Microsoft Corp.)、甲骨文公司 (Oracle Corp.)、SAP SE、SAS Institute Inc.、TIBCO Software Inc. 和欧洲 Teradata Corp. 是欧洲巨量资料分析的主要市场报告。
欧洲大数据分析市场预测是根据各种二手和一手研究结果(例如主要公司出版物、协会资料和资料库)进行估算的。我们利用内部和外部资源进行了详尽的二手研究,以获得与欧洲大数据分析市场成长相关的定性和定量资讯。该过程还有助于获得有关所有细分市场的市场概况和预测。此外,我们也对产业参与者进行了多次初步访谈,以验证资料并获得分析见解。这个流程包括副总裁、业务发展经理、市场情报经理和国家销售经理等行业专家,以及估值专家、研究分析师和关键意见领袖等外部顾问,专门从事欧洲大数据分析市场。
The Europe Big Data Analytics market size is expected to reach US$ 219.76 billion by 2031 from 75.45 billion in 2023, at an estimated CAGR of 14.3% from 2023 to 2031.
By country the Europe Big Data Analytics market is segmented into UK, Germany, France, Italy, Russia, and Rest of Europe. In 2023, UK is growing with a significant growth rate. Four major US companies unveiled plans to invest £6.3 billion (US$ 78.3 billion) in the UK's data infrastructure in October 2024. This announcement, made at the International Investment Summit, was hailed by Technology Secretary as a "vote of confidence" in the UK's strategy of collaborating with businesses to boost economic growth. CyrusOne, ServiceNow, CloudHQ, and CoreWeave are a few companies committing substantial investments, contributing to a total of over £25 billion (US$ 31.1 billion) invested in UK data centers since the current government took office. These new facilities will significantly enhance the country's computing power and data storage capabilities, which are crucial for the development and deployment of next-generation AI-based technologies. Further, this substantial investment highlights the rapid growth of the big data analytics market in the UK, which continues to expand as businesses increasingly recognize the need for robust data infrastructure. With these new data centers, the UK is positioning itself as a key player in the global data economy, offering the necessary resources to support the growing demand for data-driven solutions, AI, and machine learning. As the need for advanced data analytics continues to rise across sectors such as healthcare, finance, and manufacturing, the expansion of the UK's data infrastructure is critical to fostering innovation and maintaining a competitive edge in the digital age. This influx of investment strengthens the UK's position as a data hub as well as fuels the country's broader digital transformation initiatives
The Europe Big Data Analytics market analysis has been carried out by considering the following segments: component, application, and end use industry.
In terms of component, the market is divided into software and services. Big data analytics software is widely used across various industries to harness the potential of vast data sets for improved decision-making and operational efficiency. This software offers insights into large data sets that are collected from big data clusters. The software helps business users to identify patterns, data trends, and anomalies, as well as synthesize the information into understandable data visualizations, reports, and dashboards. Big data analytics software is commonly used at companies running Hadoop in conjunction with big data processing and distribution software to collect and store data. In addition, these big data analytics products typically integrate with data warehouse software-the central storage hub for a company's integrated data. Further, it enables businesses to ingest, integrate, and prepare large amounts of data. As a result, companies might integrate all company data sources into a single platform to facilitate cross-departmental collaboration, display and comprehend company data, promote data-driven decision-making for business optimization, and uncover fresh insights that can improve the bottom line.
Moreover, factor such as increasing demand for data-driven decision making and growing adoption and investment in cloud computing propel the Europe big data analytics market growth. Also, growing implementation of GenAI and RAG is expected to bring new Europe big data analytics market trends in the coming years.
Based on deployment, the Europe big data analytics market is segmented into cloud and on-premises. The demand for quicker and more effective big data processing is growing, leading to the rising adoption of cloud computing and Apache Spark. Cloud computing has various advantages over on-premise (e.g., Hadoop) solutions, making it an appealing alternative for big data processing. Cloud deployment has various advantages such as cloud services can be easily upscaled or downscaled as per the requirement. Cloud deployment helps address the storage and processing requirements of big data. Also, users only pay for the resources they consume, as the services are distributed across locations. Furthermore, latency and network lag can be reduced with cloud deployment, which further improves the performance of big data applications. Further, cloud platforms provide scalability, flexibility, and cost-efficiency that allow organizations to handle the complexity of big data without investing in costly on-premise infrastructure.
Amazon Web Services Inc., FICO, Hewlett Packard Enterprise Co, International Business Machines Corp, Microsoft Corp, Oracle Corp, SAP SE, SAS Institute Inc., TIBCO Software Inc., and Teradata Corp are among the key players profiled in the Europe big data analytics market report.
The Europe Big Data Analytics market forecast is estimated on the basis of various secondary and primary research findings such as key company publications, association data, and databases. Exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the Europe Big Data Analytics market growth. The process also helps obtain an overview and forecast of the market with respect to all the market segments. Also, multiple primary interviews have been conducted with industry participants to validate the data and gain analytical insights. This process includes industry experts such as VPs, business development managers, market intelligence managers, and national sales managers, along with external consultants such as valuation experts, research analysts, and key opinion leaders, specializing in the Europe Big Data Analytics market.