预计到 2031 年,欧洲大数据分析市场规模将从 2023 年的 754.5 亿美元增至 2197.6 亿美元。预计 2023-2031 年期间市场复合年增长率将达到 14.3%。GenAI 和 RAG 的日益普及可能会在未来几年为市场带来新的趋势。
欧洲大数据分析市场分析
对数据驱动决策的需求不断增长以及对云计算的采用和投资不断增加等因素正在推动欧洲大数据分析市场的发展。由于中小企业 (SME) 的需求不断增长以及边缘计算在大数据分析中的日益广泛应用,预计市场将在预测期内增长。GenAI 和 RAG 的实施可能会在未来几年为市场带来新的趋势。此外,由于各行各业产生的数据量不断增加以及组织从这些数据中获得可操作见解的需求不断增长,市场正在见证显着增长。其他驱动因素包括物联网 (IoT) 设备、社交媒体平台和智能设备的广泛采用,它们会产生大量数据,需要高级分析才能提取有意义的信息。
欧洲大数据分析市场概览
对降低成本和提高运营效率的日益重视,正在鼓励企业投资大数据分析解决方案。医疗保健、零售、金融和制造业等行业正在涌现出机遇,数据分析可以增强客户体验、优化供应链、改善财务决策并实现预测性维护。此外,人工智能 (AI) 和机器学习 (ML) 与大数据分析的结合为预测建模、个性化推荐和自动化开辟了新的可能性。就未来趋势而言,随着企业寻求可扩展性、成本效益和对分析平台的远程访问,市场预计将见证基于云的大数据解决方案的日益普及。
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欧洲大数据分析市场驱动因素和机遇
云计算的采用和投资不断增长
云计算的日益普及和投资推动了欧洲大数据分析市场的增长。组织越来越多地利用云技术来处理和分析大量数据。这种转变正在改变企业处理数据管理、可扩展性和分析能力的方式。云计算提供了更好的基础设施、成本效率、可扩展性和充分利用大数据分析潜力所需的高级功能,使企业能够更有效、更高效地做出数据驱动的决策。各大公司都在投资人工智能和云计算基础设施,这进一步推动了欧洲大数据分析的采用。下面提到了几个例子:
- 2024 年 10 月,微软做出重大承诺,投资 43 亿欧元(47.5 亿美元)扩建其在意大利的云和人工智能 (AI) 数据中心基础设施,突显了该公司的战略重点是巩固其在欧洲快速增长的数据分析市场中的地位。这项投资进一步支持了该地区的云计算,因为该地区的云计算已经经历了强劲增长,这得益于对高级 AI 解决方案、大数据分析和数字转型服务的需求不断增长。此次扩张将增强微软提供可扩展、安全和高性能云服务的能力,并与欧洲大数据分析的增长保持一致。
- 2024 年 6 月,为了满足西班牙对 AI 和云服务日益增长的需求,甲骨文宣布计划投资超过 10 亿美元在马德里建立第三个云区域。该计划旨在加速西班牙全国范围内 AI 专业知识的发展,同时增强甲骨文客户和合作伙伴的云能力,特别是在金融服务等领域。此次扩张反映了整个欧洲大数据分析应用日益广泛的趋势,因为企业越来越多地寻求先进的云解决方案来利用数据驱动的洞察力并推动金融和医疗保健等行业的创新。
边缘计算与大数据分析的日益融合
分布式数据处理使数据分析和处理更接近数据来源,从而减少对集中式云基础设施的依赖,并促进实时洞察。边缘设备可以处理复杂的预处理和过滤任务,从而帮助优化云资源以进行高级分析。这种更快的数据处理可以快速识别趋势和异常,从而增强运营层面的决策能力。
边缘计算为新兴应用铺平了道路,例如工业设备的预测性维护、实时交通管理和零售业的个性化推荐,从而促进了各个行业的创新。边缘计算的发展正在彻底改变大数据分析,它使数据能够在更接近其来源的地方进行处理,为企业提供实时洞察,提高运营效率,并开辟新的应用机会。尽管存在挑战,但持续的技术进步和对安全性的高度重视将促进边缘计算与大数据分析的顺利整合,推动业务运营的进一步创新和改进。
芯片技术、软件优化和安全协议的进步将解决现有的挑战。标准化边缘计算平台的出现将使该技术更易于访问,从而简化部署和管理。此外,设备上的人工智能和机器学习将使更接近源头的数据分析更快、更先进。边缘计算还将补充基于云的分析,形成一种优化数据处理和存储的混合架构。随着技术的发展,必须高度重视安全和隐私,以确保负责任的边缘计算实践。
因此,边缘计算与大数据分析的不断融合预计将在预测期内为市场增长创造机会。
欧洲大数据分析市场报告细分分析
有助于得出欧洲大数据分析市场分析的关键部分是组件、部署、应用和最终用户行业。
- 根据组成部分,欧洲大数据分析市场分为软件和服务。2023 年,软件部分占据了更大的市场份额。
- 在部署方面,欧洲大数据分析市场分为云和本地。2023 年,云部分占据了更大的市场份额。
- 根据应用,欧洲大数据分析市场细分为客户分析、营销分析、定价分析、劳动力分析等。其他部分在 2023 年占据了市场主导地位。
- 就终端用户行业而言,欧洲大数据分析市场细分为 IT 和电信、BFSI、医疗保健、零售等。其他细分市场在 2023 年占据了最大的市场份额。
欧洲大数据分析市场份额(按国家)分析
欧洲大数据分析市场报告的地理范围主要分为德国、英国、法国、意大利、俄罗斯和欧洲其他地区。
2023 年,英国占据了相当大的市场份额。2024 年 10 月,四家美国大公司宣布计划向英国数据基础设施投资 63 亿英镑(783 亿美元)。这项在国际投资峰会上宣布的声明被科技大臣誉为对英国与企业合作促进经济增长战略的“信任投票”。CyrusOne、ServiceNow、CloudHQ 和 CoreWeave 是少数几家承诺进行大量投资的公司,它们对英国数据中心的总投资超过 250 亿英镑(311 亿美元)。这些新设施将大大增强该国的计算能力和数据存储能力,这对于开发和部署下一代基于人工智能的技术至关重要。此外,这项巨额投资凸显了英国大数据分析市场的快速增长,随着企业越来越认识到对强大数据基础设施的需求,该市场将继续扩大。凭借这些新数据中心,英国将自己定位为全球数据经济的关键参与者,提供必要的资源来支持对数据驱动解决方案、人工智能和机器学习日益增长的需求。随着医疗、金融和制造业等行业对高级数据分析的需求不断增长,英国数据基础设施的扩展对于促进创新和保持数字时代的竞争优势至关重要。这笔投资的涌入加强了英国作为数据中心的地位,并推动了该国更广泛的数字化转型计划。
欧洲大数据分析市场区域洞察
Insight Partners 的分析师已详细解释了预测期内影响欧洲大数据分析市场的区域趋势和因素。本节还讨论了欧洲大数据分析市场的各个部分和地理位置,包括北美、欧洲、亚太地区、中东和非洲以及南美洲和中美洲。

- 获取欧洲大数据分析市场的区域特定数据
欧洲大数据分析市场报告范围
报告属性 | 细节 |
---|---|
2023 年的市场规模 | 754.5亿美元 |
2031 年市场规模 | 2197.6亿美元 |
全球复合年增长率(2023 - 2031) | 14.3% |
史料 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 按组件
|
覆盖地区和国家 | 欧洲
|
市场领导者和主要公司简介 |
|
欧洲大数据分析市场参与者密度:了解其对业务动态的影响
欧洲大数据分析市场正在快速增长,这得益于终端用户需求的不断增长,而这些需求又源于消费者偏好的不断变化、技术进步以及对产品优势的认识不断提高等因素。随着需求的增加,企业正在扩大其产品范围,进行创新以满足消费者的需求,并利用新兴趋势,从而进一步推动市场增长。
市场参与者密度是指在特定市场或行业内运营的企业或公司的分布情况。它表明在给定市场空间中,相对于其规模或总市场价值,有多少竞争对手(市场参与者)存在。
在欧洲大数据分析市场运营的主要公司有:
- 亚马逊网络服务公司
- 费埃哲
- 惠普企业公司
- 国际商业机器公司
- 微软公司
- 甲骨文公司
免责声明:上面列出的公司没有按照任何特定顺序排列。

- 了解欧洲大数据分析市场顶级关键参与者概况
欧洲大数据分析市场新闻和最新发展
欧洲大数据分析市场通过收集一手和二手研究后的定性和定量数据进行评估,其中包括重要的公司出版物、协会数据和数据库。欧洲大数据分析市场的一些发展如下:
- SAS 宣布与值得信赖的政府 IT 解决方案提供商 Carahsoft Technology Corp. 达成新的分销协议。根据该协议,Carahsoft 将担任 SAS 公共部门分销商,通过 Carahsoft 的经销商合作伙伴以及各种合同载体和政府计划向美国政府机构提供该公司的分析、AI 和数据管理解决方案。(来源:SAS Institute's Inc.,新闻稿,2024 年 2 月)
- 互联多云数据平台 Teradata 为“日常 AI”平台 Dataiku 推出了一款新的分析集成组件。新的 Teradata Dataiku 插件旨在让使用 Dataiku 的分析和数据科学团队在 Teradata Vantage 平台内执行各种分析操作。(来源:Teradata Corp,新闻稿,2021 年 12 月)
欧洲大数据分析市场报告覆盖范围和交付成果
“欧洲大数据分析市场规模和预测(2021-2031)”报告对以下领域进行了详细的市场分析:
- 欧洲大数据分析市场规模以及涵盖范围内所有关键细分市场的国家/地区预测
- 欧洲大数据分析市场趋势以及驱动因素、限制因素和关键机遇等市场动态
- 详细的 PEST 和 SWOT 分析
- 欧洲大数据分析市场分析涵盖主要市场趋势、国家框架、主要参与者、法规和最新市场发展
- 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及欧洲大数据分析市场的最新发展
- 详细的公司简介
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
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Frequently Asked Questions
The market is expected to reach a value of US$ 219.76 billion by 2031.
The market is anticipated to expand at a CAGR of 14.3% during 2023-2031.
IBM Corporation, Microsoft Corporation, Oracle Corporation, and SAP SE are major players in the market.
The growing Implementation of GenAI and RAG is a key trend in the market.
Increasing demand for data-driven decision-making and growing adoption and investment in cloud computing are driving the market growth.
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The List of Companies - Europe Big Data Analytics Market
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- Oracle Corp
- SAP SE
- SAS Institute Inc
- TIBCO Software Inc.
- Teradata Corp
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.