Europe Big Data Analytics Market Growth Report 2021 to 2031

Europe Big Data Analytics Market Size and Forecast (2021 - 2031), Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Software and Services), Deployment (Cloud and On Premises), Application (Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Workforce Analytics, and Others), End-User Industry (IT and Telecom, BFSI, Healthcare, Retail, and Others), and Geography

Publication Month : Jan 2025

  • Report Code : TIPRE00039409
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 95
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The Europe big data analytics market size is projected to reach US$ 219.76 billion by 2031 from US$ 75.45 billion in 2023. The market is expected to register a CAGR of 14.3% during 2023–2031. The growing implementation of GenAI and RAG is likely to bring new trends into the market in the coming years.

Europe Big Data Analytics Market Analysis

Factors such as increasing demand for data-driven decision-making and growing adoption and investment in cloud computing are driving the Europe big data analytics market. The market is expected to grow in the forecasted period owing to rising demand from small and medium enterprises (SMEs) and the growing implementation of edge computing into big data analytics. The implementation of GenAI and RAG is likely to bring new trends to the market in the coming years. Moreover, the market is witnessing significant growth, driven by the increasing size of data produced across industries and the growing need for organizations to derive actionable insights from this data. Other drivers include the widespread adoption of Internet of Things (IoT) devices, social media platforms, and smart devices, which generate massive amounts of data that require advanced analytics to extract meaningful information.

Europe Big Data Analytics Market Overview

The rising emphasis on cost reduction and operational efficiency is encouraging businesses to invest in big data analytics solutions. Opportunities are emerging in industries such as healthcare, retail, finance, and manufacturing, where data analytics can enhance customer experiences, optimize supply chains, improve financial decision-making, and enable predictive maintenance. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) with big data analytics is opening up new possibilities for predictive modeling, personalized recommendations, and automation. In terms of future trends, the market is expected to witness the increasing adoption of cloud-based big data solutions as businesses seek scalability, cost-effectiveness, and remote access to analytics platforms.

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Europe Big Data Analytics Market: Strategic Insights

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Europe Big Data Analytics Market Drivers and Opportunities

Growing Adoption and Investment in Cloud Computing

The growing adoption and investment in cloud computing fuels the growth of the Europe big data analytics market. Organizations are increasingly leveraging cloud technologies to process and analyze massive amounts of data. This shift is transforming the way businesses approach data management, scalability, and analytical capabilities. Cloud computing provides better infrastructure, cost efficiency, scalability, and advanced features required to harness the full potential of big data analytics, enabling businesses to make data-driven decisions more effectively and efficiently. Major companies are investing in AI and cloud computing infrastructure, which is further boosting the adoption of big data analytics in Europe. A few examples are mentioned below:

  • In October 2024, Microsoft made a significant commitment to invest €4.3 billion (US$ 4.75 billion) in expanding its cloud and artificial intelligence (AI) data center infrastructure in Italy, highlighting the company’s strategic focus on bolstering its position in the rapidly growing market for data analytics in Europe. This investment further supports cloud computing in the region as it is already experiencing robust growth, driven by increasing demand for advanced AI solutions, big data analytics, and digital transformation services. The expansion will enhance Microsoft’s capabilities in providing scalable, secure, and high-performance cloud services as well as align with the growth of big data analytics in Europe.
  • In June 2024, in response to the surging demand for AI and cloud services in Spain, Oracle unveiled plans to invest over US$ 1 billion in establishing a third cloud region in Madrid. This initiative aims to accelerate the development of AI expertise nationwide while enhancing cloud capabilities for Oracle’s customers and partners, particularly in sectors such as financial services. The expansion reflects the broader trend of growing big data analytics adoption across Europe, as businesses increasingly seek advanced cloud solutions to leverage data-driven insights and drive innovation in industries such as finance and healthcare.

Growing Integration of Edge Computing into Big Data Analytics

Distributed data processing enables data to be analyzed and processed closer to its source, reducing dependence on centralized cloud infrastructure and facilitating real-time insights. Edge devices can handle complex pre-processing and filtering tasks, which help optimize cloud resources for advanced analytics. This faster data processing allows for the rapid identification of trends and anomalies, enhancing decision-making at the operational level.

Edge computing paves the way for emerging applications such as predictive maintenance for industrial equipment, real-time traffic management, and personalized recommendations in retail, fostering innovation across various industries. The growth of edge computing is revolutionizing big data analytics by enabling data to be processed closer to its source, providing businesses with real-time insights, enhancing operational efficiency, and opening up new application opportunities. Despite existing challenges, ongoing technological advancements and a strong emphasis on security are set to facilitate the smooth integration of edge computing with big data analytics, driving further innovation and improvements in business operations.

Advancements in chip technology, software optimization, and security protocols are set to address existing challenges. The emergence of standardized edge computing platforms will make the technology more accessible, simplifying both deployment and management. Additionally, on-device AI and machine learning will enable faster and more advanced data analysis closer to the source. Edge computing will also complement cloud-based analytics, fostering a hybrid architecture that optimizes data processing and storage. As the technology evolves, a strong focus on security and privacy will be necessary to ensure responsible edge computing practices.

Thus, the rising integration of edge computing into big data analytics is expected to create opportunities for the market growth during the forecast period.

Europe Big Data Analytics Market Report Segmentation Analysis

Key segments that contributed to the derivation of the Europe big data analytics market analysis are component, deployment, application, and end-user industry.

  • Based on component, the Europe big data analytics market is divided into software and services. The software segment held a larger share of the market in 2023.
  • In terms of deployment, the Europe big data analytics market is bifurcated into cloud and on premises. The cloud segment held a larger share of the market in 2023.
  • Based on application, the Europe big data analytics market is segmented into customer analytics, marketing analytics, pricing analytics, workforce analytics, and others. The others segment dominated the market in 2023.
  • In terms of end-user industry, the Europe big data analytics market is segmented into IT and telecom, BFSI, healthcare, retail, and others. The others segment held the largest share of the market in 2023.

Europe Big Data Analytics Market Share Analysis by Country

The geographic scope of the Europe big data analytics market report is mainly divided into Germany, the UK, France, Italy, Russia, and the Rest of Europe.

The UK held a significant share of the market in 2023. In October 2024, four major US companies unveiled plans to invest £6.3 billion (US$ 78.3 billion) in the UK’s data infrastructure. 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 investment of over £25 billion (US$ 31.1 billion) in UK data centers. 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.

Europe Big Data Analytics Market Report Scope

Europe Big Data Analytics Market News and Recent Developments

The Europe big data analytics market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in the Europe big data analytics market are listed below:

  • SAS announced a new distribution agreement with Carahsoft Technology Corp., The Trusted Government IT Solutions Provider. Under the agreement, Carahsoft will serve as an SAS Public Sector Distributor, making the company's analytics, AI, and data management solutions available to US Government agencies through Carahsoft's reseller partners and various contract vehicles and government schedules. (Source: SAS Institute’s Inc., Press Release, February 2024)
  • Teradata, the connected multi-cloud data platform, unveiled a new analytic integration component for Dataiku, the "everyday AI" platform. The new Teradata Plugins for Dataiku are intended to allow analytics and data science teams who utilize Dataiku to execute various analytic operations within the Teradata Vantage platform. (Source: Teradata Corp, Press Release, December 2021)

Europe Big Data Analytics Market Report Coverage and Deliverables

The "Europe Big Data Analytics Market Size and Forecast (2021–2031)" report provides a detailed analysis of the market covering below areas:

  • Europe big data analytics market size and forecast at country levels for all the key market segments covered under the scope
  • Europe big data analytics market trends, as well as market dynamics such as drivers, restraints, and key opportunities
  • Detailed PEST and SWOT analysis
  • Europe big data analytics market analysis covering key market trends, country framework, major players, regulations, and recent market developments
  • Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments for the Europe big data analytics market
  • Detailed company profiles
 
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

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to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

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to country scope.

Frequently Asked Questions


What are the driving factors impacting the Europe big data analytics market?

Increasing demand for data-driven decision-making and growing adoption and investment in cloud computing are driving the market growth.

What are the future trends of the Europe big data analytics market?

The growing Implementation of GenAI and RAG is a key trend in the market.

Which are the leading players operating in the Europe big data analytics market?

IBM Corporation, Microsoft Corporation, Oracle Corporation, and SAP SE are major players in the market.

What would be the estimated value of the Europe big data analytics market by 2031?

The market is expected to reach a value of US$ 219.76 billion by 2031.

What is the expected CAGR of the Europe big data analytics market?

The market is anticipated to expand at a CAGR of 14.3% during 2023-2031.

  1. Amazon Web Services Inc
  2. FICO
  3. Hewlett Packard Enterprise Co
  4. International Business Machines Corp
  5. Microsoft Corp 
  6. Oracle Corp 
  7. SAP SE
  8. SAS Institute Inc 
  9. TIBCO Software Inc.
  10. Teradata Corp

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients 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 organizations 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 the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. 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/Sales 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:

Research Methodology

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.

  1. 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.

  • 3.1 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.

  • 3.2 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.

  • 3.3 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.

  • 3.4 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.

  1. 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.

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