The United Kingdom Data Center Storage Market Report is Segmented by Storage Technology (Network Attached Storage (NAS), Storage Area Network (SAN), Direct Attached Storage (DAS), and Other Technologies), by Storage Type (Traditional Storage, All-Flash Storage, and Hybrid Storage), by End-User (IT & Telecommunication, BFSI, Government, Media & Entertainment and Other End-Users). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Discover the latest trends in the UK data storage device market and learn about the projected growth in market volume and value over the next decade.

The article discusses the rising demand for data storage devices in the UK, forecasting an upward consumption trend over the next decade. It projects a slight increase in market performance with a CAGR of +2.4% for the period from 2024 to 2035, leading to a market volume of 4.4M units by 2035. In terms of value, the market is expected to grow with a CAGR of +3.4% during the same period, reaching $669M (in nominal prices) by the end of 2035.

The United Kingdom Data Center Rack Market is Segmented by Rack Size (Quarter Rack, Half Rack, Full Rack), by End User (IT & Telecommunication, BFSI, Government, and Media & Entertainment). The Market Sizes and Forecasts are Provided in Terms of Volume (units) for all the Above Segments.

IMPORTANT: This deposit contains a range of supplementary material related to the deposit of the SIPHER Synthetic Population for Individuals, 2019-2021 (https://doi.org/10.5255/UKDA-SN-9277-1). See the shared readme file for a detailed description describing this deposit. Please note that this deposit does not contain the SIPHER Synthetic Population dataset, or any other Understanding Society survey datasets.

The lack of a centralised and comprehensive register-based system in Great Britain limits opportunities for studying the interaction of aspects such as health, employment, benefit payments, or housing quality at the level of individuals and households. At the same time, the data that exist, is typically strictly controlled and only available in safe haven environments under a “create-and-destroy” model. In particular when testing policy options via simulation models where results are required swiftly, these limitations can present major hurdles to coproduction and collaborative work connecting researchers, policymakers, and key stakeholders. In some cases, survey data can provide a suitable alternative to the lack of readily available administrative data. However, survey data does typically not allow for a small-area perspective. Although special license area-level linkages of survey data can offer more detailed spatial information, the data’s coverage and statistical power might be too low for meaningful analysis.

Through a linkage with the UK Household Longitudinal Study (Understanding Society, SN 6614, wave k), the SIPHER Synthetic Population allows for the creation of a survey-based full-scale synthetic population for all of Great Britain. By drawing on data reflecting “real” survey respondents, the dataset represents over 50 million synthetic (i.e. “not real”) individuals. As a digital twin of the adult population in Great Britain, the SIPHER Synthetic population provides a novel source of microdata for understanding “status quo” and modelling “what if” scenarios (e.g., via static/dynamic microsimulation model), as well as other exploratory analyses where a granular geographical resolution is required

As the SIPHER Synthetic Population is the outcome of a statistical creation process, all results obtained from this dataset should always be treated as “model output” - including basic descriptive statistics. Here, the SIPHER Synthetic Population should not replace the underlying Understanding Society survey data for standard statistical analyses (e.g., standard regression analysis, longitudinal multi-wave analysis). Please see the respective User Guide provided for this dataset for further information on creation and validation.

This research was conducted as part of the Systems Science in Public Health and Health Economics Research - SIPHER Consortium and we thank the whole team for valuable input and discussions that have informed this work.

[The spreadsheet is organised into two parts. The first contains a broad set of annual data covering the UK national accounts and other financial and macroeconomic data stretching back in some cases to the late 17th century. The second and third sections cover the available monthly and quarterly data for the UK to facilitate higher frequency analysis on the macroeconomy and the financial system. The spreadsheet attempts to provide continuous historical time series for most variables up to the present day by making various assumptions about how to link the historical components together. But we also have provided the various chains of raw historical data and retained all our calculations in the spreadsheet so that the method of calculating the continuous times series is clear and users can construct their own composite estimates by using different linking procedures., This dataset contains a broad set of historical data covering the UK national accounts and other financial and macroeconomic data stretching back in some cases to the late 17th century.]

The United Kingdom Data Center Cooling Market Report is Segmented Into Technology (Air-Based Cooling [Chillers and Economizers, CRAH, Cooling Towers, and Other Air-Based Cooling Technologies] and Liquid-Based Cooling (Immersion Cooling, Direct-To-Chip Cooling, and Rear-Door Heat Exchanger]), Type of Data Center (Hyperscaler, Enterprise, and Colocation), and End-User Industry (IT and Telecom, Retail and Consumer Goods, Healthcare, Media and Entertainment, Federal and Institutional Agencies, and Other End-User Industries).

The Annual Survey of Hours and Earnings (ASHE) is one of the largest surveys of the earnings of individuals in the UK. Data on the wages, paid hours of work, and pensions arrangements of nearly one per cent of the working population are collected. Other variables relating to age, occupation and industrial classification are also available. The ASHE sample is drawn from National Insurance records for working individuals, and the survey forms are sent to their respective employers to complete.

While limited in terms of personal characteristics compared to surveys such as the Labour Force Survey, the ASHE is useful not only because of its larger sample size, but also the responses regarding wages and hours are considered to be more accurate, since the responses are provided by employers rather than from employees themselves. A further advantage of the ASHE is that data for the same individuals are collected year after year. It is therefore possible to construct a panel dataset of responses for each individual running back as far as 1997, and to track how occupations, earnings and working hours change for individuals over time. Furthermore, using the unique business identifiers, it is possible to combine ASHE data with data from other business surveys, such as the Annual Business Survey (UK Data Archive SN 7451).

The ASHE replaced the New Earnings Survey (NES, SN 6704) in 2004. NES was developed in the 1970s in response to the policy needs of the time. The survey had changed very little in its thirty-year history. ASHE datasets for the years 1997-2003 were derived using ASHE methodologies applied to NES data.

The ASHE improves on the NES in the following ways:

• the NES questionnaire allowed too much variation in employer responses, leading to wide variations in the data
• weightings have been introduced to take account of the population size (significant biases were a known problem in NES data)
• the significant numbers of employees who change jobs between the sample selection and survey reference dates are retained in the ASHE sample, whereas these were dropped from the NES

Linking to other business studies
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Observations from Northern Ireland
The ASHE data held by the UK Data Archive include very few observations from Northern Ireland. Users requiring access to Northern Ireland data are advised to contact the Northern Ireland Statistics and Research Agency, who administer this aspect of the survey.

Local unit reference variable, luref
The local unit reference variable 'luref', is generated to indicate multiple occurrences of the same local unit for disclosure checking purposes. It is inconsistent across years and is not an IDBR reference number. It should not be used to link ASHE with other business datasets.

For Secure Lab projects applying for access to this study as well as to SN 6697 Business Structure Database and/or SN 7683 Business Structure Database Longitudinal, only postcode-free versions of the data will be made available.

Latest Edition Information
For the twenty-sixth edition (February 2025), the data file 'ashegb_2023r_2024p_pc' has been added, along with the accompanying data dictionary.

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UK Data Center Market Size 2024-2028

The UK data center market size is forecast to increase by USD 37.87 billion, at a CAGR of 21.8% between 2023 and 2028.

Several key trends are shaping the industry's growth. The proliferation of smartphones and the increasing adoption of hybrid cloud are driving the demand for data center services. Moreover, the development of smart city infrastructure necessitates the deployment of reliable and efficient data centers. Energy efficiency is a significant concern, with data centers implementing advanced electrical and mechanical infrastructure to reduce power consumption. Artificial intelligence (AI) and machine learning are also transforming data centers, necessitating hyper-scalability and automation. Physical data centers continue to be the backbone of digital operations, with Tier 3 data centers offering the ideal balance between reliability and cost-effectiveness. 
The market analysis report highlights these trends and their impact on the data center landscape. Colocation remains a popular option for businesses seeking to reduce capital expenditures while maintaining control over their IT infrastructure. The report provides insights into the challenges and opportunities in the market, including the need for continuous innovation and the importance of maintaining a strong electrical and mechanical infrastructure.

What will be the Size of the Market During the Forecast Period?

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The market is witnessing significant growth, driven by the increasing demand for digital transformation, remote working, and the integration of advanced technologies such as 5G networks, big data, and the Internet of Things (IoT). This evolution is reshaping the landscape of data center infrastructure, with a focus on efficiency, scalability, and security. Multi-tenant data centers are gaining popularity due to their cost-effective solutions and flexibility. These facilities offer shared resources, enabling businesses to scale their IT infrastructure as needed. 
The electrical and mechanical infrastructure of these data centers is being upgraded to accommodate the demands of high-performance computing, generative AI, and deep learning. Enterprise data centers are also undergoing transformations, with a shift towards hyperscale and cloud data centers. Hyperscale data centers are designed to handle large amounts of data and offer economies of scale, while cloud data centers provide on-demand access to computing resources. Micro data centers are being adopted for edge computing applications, enabling faster data processing and reduced latency. Data security is a critical concern in the market. Advanced security measures, such as access control systems, firewalls, and encryption technologies, are being implemented to protect digital data.
Server storage devices and networking equipment are being upgraded to support the latest security protocols. The data center rating system is becoming increasingly important, as businesses seek to ensure the reliability and efficiency of their data center infrastructure. Corporate data centers are being evaluated based on various metrics, including power usage effectiveness (PUE), cooling efficiency, and availability. The integration of renewable energy sources, such as solar and wind power, is another trend in the market. This is driven by the need to reduce carbon emissions and improve sustainability. Data centers are also adopting energy-efficient technologies, such as liquid cooling and free cooling, to reduce energy consumption.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments. ComponentIT infrastructurePower managementMechanical constructionGeneral constructionSecurity solutionsTypeOn-premiseHyperscaleHPCColocationEdgeDesignTraditionalContainerizedModularGeographyUK

By Component Insights

The IT infrastructure segment is estimated to witness significant growth during the forecast period. In the realm of Information Technology (IT), a data center infrastructure refers to the complete setup of hardware, software, and solutions necessary for establishing or expanding a data center. This infrastructure encompasses server architecture, storage solutions, software-defined data centers (SDDC), network configurations, converged infrastructure, backup and recovery software, automation tools, and data center infrastructure management (DCIM) systems. The escalating requirement for computational power and storage capacity to manage the burgeoning data traffic fuels the demand for advanced IT infrastructure.

Get a glance at the share of various segments. Download the PDF Sample

The IT infrastructure segment was valued at USD 11.19 billion in 2018. Businesses are increasingly

The Longitudinal Small Business Survey (LSBS) is a large-scale telephone survey of small business owners and managers commissioned by the Department for Business and Trade (DBT). This survey is the latest in a series of annual and biennial Small Business Surveys (SBS) dating back to 2003.

In 2015, the survey methodology changed to include a longitudinal tracking element. A large sample size was recruited in Year One (2015) to establish a panel of businesses to be re-surveyed in subsequent years. This will allow a detailed analysis of how combinations of factors affect business performance.

The LSBS is intended to:

• Improve the understanding of what drives and constrains business performance and growth by addressing evidence gaps relating to the lags between many business activities and associated performance outcomes;
• Provide improved data on current business performance and the factors that affect this. The larger survey size will provide more reliable findings for key sub-groups of the business population and in relation to activities such as seeking finance, which are only relevant to part of the sample.

The data available covers all respondents over the course of the six years so far. Further information and research reports are available on the GOV.UK "https://www.gov.uk/government/collections/small-business-survey-reports"> Small Business Survey Reports webpage.

Controlled (Secure) Access Version
A Controlled (Secure) Access version of the LSBS is available from the UK Data Archive, subject to stringent secure access conditions. Extra variables include postcode district, 2-, 3-, and 4-digit SIC codes; and Inter-Departmental Business Register (IDBR) reference numbers for linking to other business surveys. Small Business Survey data files for 2010 and 2012 containing 4-digit SIC codes and IDBR reference numbers are available under SN 6856. Users are strongly advised to check whether the safeguarded version is sufficient for their needs before considering an application for the Controlled (Secure) Access version.

Latest edition information
For the ninth edition (December 2024), the data and documentation have been updated to include Year 9 of the survey, completed during 2023-2024.

UK Data Service (UKDS) provides unified access to the UK's largest collection of social, economic and population data for research and teaching purposes covering a range of different disciplines. The majority of our data are fully anonymised, unless otherwise specified in the relevant online catalogue records, and are therefore not suitable for genealogical users or family historians. The UK Data Service is funded by the Economic and Social Research Council (ESRC) to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, and business consultants and the commercial sector.

The United Kingdom Data Center Market is segmented by Hotspot (London), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

Trusted access and training to use the UK's largest collection of economic, population and social research data for teaching, learning and public benefit.

The UK data center rack market is anticipated to grow at a CAGR of 11.5% during the forecast period from 2025 to 2033. The market was valued at XX million in 2025 and is projected to reach XX million by 2033. The growth of the market is attributed to the increasing demand for data centers due to the rapid adoption of cloud and virtualization technologies. Additionally, the growing need for data storage and processing in various industries, such as IT & telecommunication, BFSI, and government, is further driving the market growth. The market is segmented based on rack size into quarter rack, half rack, and full rack. The full rack segment is expected to dominate the market during the forecast period due to its high capacity and scalability. Additionally, the increasing adoption of high-density servers is expected to boost the demand for full racks. Geographically, the UK data center rack market is segmented into North America, Europe, Asia Pacific, and the Rest of the World. The European region is expected to hold a significant share of the market during the forecast period due to the presence of a large number of data centers in the region. Recent developments include: August 2022: Colt Group Holdings Limited announced the opening of a new data center in Hayes, West London. This was expected to more than triple his existing footprint in the UK capital. The company was to build a new purpose-built 50MW data center on a 2.1-hectare data center campus called 'London 4'., March 2022: Kao Data announced plans for a second building on its campus in Harlow, UK. The company announced that construction of a second 10MW power plant outside London was then underway.. Key drivers for this market are: Rapid adoption of Cloud Services in United Kingdom, Significant growth in e-Commerce Data generation. Potential restraints include: Increasing number of Data Security Breaches, Low Availability of Resources. Notable trends are: Full Rack accounted for majority market share in 2022.

In the second quarter of 2023, mobile phones were the preferred device among online shoppers in the United Kingdom (UK), with 48 percent of shoppers reporting a preference for mobile commerce. Computers followed behind with 40 percent reporting that they prefer their online shopping through laptops and desktops. Only 13 percent of respondents opted for tablets as their go-to device for online shopping.

Next Steps (also known as the Longitudinal Study of Young People in England (LSYPE1)) is a major longitudinal cohort study following a nationally representative group of around 16,000 who were in Year 9 attending state and independent schools in England in 2004, a cohort born in 1989-90.

The first seven sweeps of the study were conducted annually (2004-2010) when the study was funded and managed by the Department for Education (DfE). The study mainly focused on the educational and early labour market experiences of young people.

In 2015 Next Steps was restarted, under the management of the Centre for Longitudinal Studies (CLS) at the UCL Faculty of Education and Society (IOE) and funded by the Economic and Social Research Council. The Next Steps Age 25 survey was aimed at increasing the understanding of the lives of young adults growing up today and the transitions out of education and into early adult life.

The Next Steps Age 32 Survey took place between April 2022 and September 2023 and is the ninth sweep of the study. The Age 32 Survey aimed to provide data for research and policy on the lives of this generation of adults in their early 30s. This sweep also collected information on many wider aspects of cohort members' lives including health and wellbeing, politics and social participation, identity and attitudes as well as capturing personality, resilience, working memory and financial literacy.

Next Steps survey data is also linked to the National Pupil Database (NPD), the Hospital Episode Statistics (HES), the Individualised Learner Records (ILR) and the Student Loans Company (SLC).

There are now two separate studies that began under the LSYPE programme. The second study, Our Future (LSYPE2) (available at the UK Data Service under GN 2000110), began in 2013 and will track a sample of over 13,000 young people annually from ages 13/14 through to age 20.

Further information about Next Steps may be found on the CLS website.

Secure Access datasets:

Secure Access versions of Next Steps have more restrictive access conditions than Safeguarded versions available under the standard End User Licence (see 'Access' section).

Secure Access versions of the Next Steps include:

• sensitive variables from the questionnaire data for Sweeps 1-9. These are available under Secure Access SN 8656.
  
• National Pupil Database (NPD) linked data at Key Stages 2, 3, 4 and 5, England. These are available under SN 7104.
• Linked Individualised Learner Records learner and learning aims datasets for academic years 2005 to 2014, England. These are available under SN 8577.
  
• detailed geographic indicators for Sweep 1 and Sweep 8 (2001 Census Boundaries) are available under SN 8189, geographic indicators for Sweep 8 and 9 (2011 Census Boundaries) are available under SN 8190, and geographic indicators for Sweep 9 (2021 Census Boundaries) are available under SN 9337. The Sweep 1 geography file was previously held under SN 7104.
• Linked Health Administrative Datasets (Hospital Episode Statistics) for financial years 1997-2022 held under SN 8681.
• Linked Student Loans Company Records for years 2007-2021 held under SN 8848.

When researchers are approved/accredited to access a Secure Access version of Next Steps, the Safeguarded (EUL) version of the study - Next Steps: Sweeps 1-9, 2004-2023 (SN 5545) - will be automatically provided alongside.

SN 5545 - Next Steps: Sweeps 1-9, 2004-2023 includes the main Next Steps survey data from Sweep 1 (age 14) to Sweep 9 (age 32).

Latest edition information
For the eighteenth edition (February 2025), the Sweep 9 Derived Variables data file has been updated with some newly derived variables categorised under the household (W9DCHNO12, W9DTOTCH, W9DTOTOWNCH) and education (W9DAQLVLH, W9DVQLVLH) sections. The Longitudinal data file have been updated with changes to the weight variables. Three out of the four weights in the previous version have been removed. W9FINWTALLB has been renamed to W9FINWT in line with previous sweeps. The user guide has been updated to reflect these changes. Furthermore, the derived variables user guide has been merged into the main user guide and can be accessed via Appendix 1.

The European Union Statistics on Income and Living Conditions (EU-SILC) is an instrument aimed at collecting timely and comparable cross-sectional and longitudinal multidimensional microdata on income, poverty and social exclusion. It is the European Union (EU) reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the 'Programme of Community action to encourage cooperation between Member States to combat social exclusion' and for producing structural indicators on social cohesion for the annual spring report to the European Council.

The EU-SILC instrument aims to provide two types of data: cross-sectional data pertaining to a given time or a certain time period with variables on income, poverty, social exclusion and other living conditions, and longitudinal data pertaining to individual-level changes over time, observed periodically over, typically, a four years period. Further information may be found on the EU-SILC webpage.

Users should note that only the cross-sectional data are currently available from the UK Data Archive, and these data only cover UK. The Great Britain component of the EU-SILC dataset was collected by the Office for National Statistics (ONS) as part of the General Lifestyle Survey (GLF) (held at the Archive under Special Licence access conditions - see GN 33403). Following the closure of the GLF in 2012 the cross-sectional data have been collected via the Family Resources Survey (FRS) (held at the Archive under GN 33283). The FRS also provides the first wave of the EU-SILC longitudinal element, also carried out by ONS. The Northern Ireland component is collected by the Northern Ireland Statistics and Research Agency (NISRA) as part of the Living Conditions Survey (LCS) (not currently held at the Archive). The EU-SILC dataset has been produced in accordance with EU regulations under guidance from Eurostat. In addition, every year a European Commission regulation describing the list of secondary target variables (annual modules) is published (see Main Topics section for details).

The accompanying documentation for EU-SILC comprises: a Guidelines document that describes the survey, the variables including the module and recommendations given to the EU member states for data collection; and a document detailing the differences between the data collected and that held in Eurostat's User Database (UDB) (as described in the guidelines) for all member states, including the already established issues or particularities for the UK.

Tables describing the international trends and logistic regression modelling results, that helps to explain the statistical significance of a range of factors on the likelihood of inactivity.

This dataset is about books and is filtered where the book publisher includes History Data Service, UK Data Archive. It has 7 columns such as author, BNB id, book, book publisher, and ISBN. The data is ordered by publication date (descending).