Market Size statistics on the Data Processing & Hosting Services industry in the UK

Customer Contacts Database Information showing customer contacts to UK Contact Centres and One Stop Centres by month. Dataset Guidance: F2F = Face-to-face (One Stop Centre) CC = Contact centre (Call centre/telephone)

Key performance metrics and achievements of UK Data Services

This is a front end to a database containing all service personnel recorded on JPA. The system contains snapshots of data from April 2006 to the present. It is used for producing statistics on the service manpower state. The main repository for the data is on the NEMESIS system. However throughout the agency there is a huge volume of files, SAS, Excel, Access, MySQL containing extracts from the production data. These are held on the various Asante fileservers as evidence for particular Parliamentary Questions (PQ) that have been answered from the data. These extracts probably run into the 1000s. They are retained indefinitely as DASA policy is that they need to be able to re-create any information used to answer a PQ.

Database of clinical information on IFS patients

Field reports and macroseismic questionnaires for recent British earthquakes. As of 2003, data collection for this dataset is mostly digital. Data and Resources BGS Homepage The BGS Homepage is an entry point to the BGS data services.

The Data Processing and Hosting Services industry has transformed over the past decade, with the growth of cloud computing creating new markets. Demand surged in line with heightened demand from banks and a rising number of mobile connections across Europe. Many companies regard cloud computing as an innovative way of reducing their operating costs, which has led to the introduction of new services that make the sharing of data more efficient. Over the five years through 2025, revenue is expected to hike at a compound annual rate of 4.3% to €113.5 billion, including a 5.6% jump in 2025. Industry profit has been constrained by pricing pressures between companies and regions. Investments in new-generation data centres, especially in digital hubs like Frankfurt, London, and Paris, have consistently outpaced available supply, underlining the continent’s insatiable appetite for processing power. Meanwhile, 5G network roll-outs and heightened consumer expectations for real-time digital services have made agile hosting and robust cloud infrastructure imperative, pushing providers to invest in both core and edge data solutions. Robust growth has been fuelled by rapid digitalisation, widespread cloud adoption, and exploding demand from sectors such as e-commerce and streaming. Scaling cloud infrastructure, driven by both established giants, like Amazon Web Services (AWS), Microsoft Azure and Google Cloud and nimble local entrants, has allowed the industry to keep pace with unpredictable spikes in online activity and increasingly complex data needs. Rising investment in data centre capacity and the proliferation of high-availability hosting have significantly boosted operational efficiency and market competitiveness, with revenue growth closely tracking the boom in cloud and streaming services across the continent. Industry revenue is set to grow moving forward as European businesses incorporate data technology into their operations. Revenue is projected to boom, growing at a compound annual rate of 10.3% over the five years through 2030, to reach €185.4 billion. Growth is likely to be assisted by ongoing cloud adoption, accelerated 5G expansion, and soaring investor interest in hyperscale and sovereign data centres. Technical diversification seen in hybrid cloud solutions, edge computing deployments, and sovereign clouds, will create significant opportunities for incumbents and disruptors alike. Pricing pressures, intensified by global hyperscalers’ economies of scale and assertive licensing strategies, will pressurise profit, especially for smaller participants confronting rising capital expenditure and compliance costs.

This data collection uses Census returns to construct a consistent time series of population for urban centres in England and Wales 1801-1911. This allows the urban development and structure of England and Wales to be analysed, and provides a resource to other researchers seeking to make ready comparisons of other information with urban development across the nineteenth century. It has been derived from the work of three previous researchers: (1) Chris Law (1967) originally prepared it; (2) Brian Robson (1973) developed the data further and transcribed Law’s data and preserved it, and also added information on some smaller settlements for years before they became ‘urban’ under Law’s criteria; (3) Jack Langton (2000) undertook a different study for the 17th century to 1841 using the same basic methods and definitions as Law-Robson for 1801 and 1841 and corrected various errors and omissions in the Law-Robson material; he also disaggregated the Law-Robson data for the period to 1841 to reflect the fact that many places had not coalesced into large towns by this date. The database here combines these three sources. It was prepared by Bob Bennett (2011) for a study of local economies and chamber of commerce business representation.

This zip file contains the Code History Database for the United Kingdom as at December 2022. This is a Version 2 of the database that removes the Combined field in the Geography Listings and Geography History section of the database.To download the zip file click the Download button.File includes updates to:· Updates to Parishes (E04), Local Enterprise Partnerships (E37)· New Entities introduced: 2022 Built Up Areas (E63), (K08), (S45) and (W45).· 2011 Built Up Areas and Built Up Area sub-divisions (E34), (E35), (K05), (K06), (W37), (W38) archived.· SIs updated to the end of 2022· Hierarchies and Constitutions updated to the end of 2022.· Information table updated.(File Size - 35 MB)

BIDS provided bibliographic database services to the academic community in the UK. Their mission is to provide, on a not-for-profit basis, the highest possible level of service to allow UK Academic institutions and their members access to bibliographic data, scholarly publications and research data. BIDS is believed to have been a world first - a national service providing widespread network access to commercially supplied bibliographic databases, free at the point of delivery. BIDS academic and scholarly journals services are now incorporated into IngentaConnect www.ingentaconnect.com If you are a student, researcher or member of staff at a UK higher or further education institution you can access any of the services to which your institution has subscribed. In addition, there are some services which can be searched without a subscription. These include ingentaJournals and Medline. You can discover which services are available to you by logging in to BIDS with your Athens username and password. All available services will be highlighted in the service selection page.

This Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.

This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.

The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:

• England and Wales:
  • 1851 - truncated at the 24th character (maximum I-CeM field length 95 characters)
  • 1881 - truncated at the 16th character (maximum I-CeM field length 50 characters).
• Scotland: for 1851‐71, truncations affect less than 0.01% of all addresses and for 1851 around 1% at most
  • 1851 - truncated at the 70th character
  • 1861 - truncated at the 76th character
  • 1871 - truncated at the 82th character
  • 1881 - truncated at the 50th character.

Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.

A dataset of all the meta-data for all of the datasets available through the data.gov.uk service. This is provided as a zipped CSV or JSON file. It is published nightly.

Updates: 27 Sep 2017: we've moved all the previous dumps to an S3 bucket at https://dgu-ckan-metadata-dumps.s3-eu-west-1.amazonaws.com/ - This link is now listed here as a data file.

From 13/10/16 we added .v2.jsonl dump, which is set to replace the .json dump (which will be discontinued after a 3 month transition). This is produced using 'ckanapi dump'. It provides an enhanced version of each dataset ('validated', or what you get from package_show in CKAN API v3 - the old json was the unvalidated version). This now includes full details of the organization the dataset is in, rather than just the owner_id. Plus it includes the results of the archival & qa for each dataset and resource, showing whether the link is broken, detected format and stars of openness. It also benefits from being json lines http://jsonlines.org/ format, so you don't need to load the whole thing into memory to parse the json - just a line at a time.

On 12/1/2015 the organizations of the CSV was changed:

• Before this date, each dataset was one line, and resources added as numbered columns. Since a dataset may have up to 300 resources, it ends up with 1025 columns, which is wider than many versions of Excel and Libreoffice will open. And the uncompressed size of 170Mb is more than most will deal with too. It is suggested you load it into a database, ahandle it with a python or ruby script, or use tools such as Refine or Google Fusion Tables.

• After this date, the datasets are provided in one CSV and resources in another. On occasions that you want to join them, you can join them using the (dataset) "Name" column. These are now manageable in spreadsheet software.

You can also use the standard CKAN API if you want to search or get a small section of the data. Please respect the traffic limits in the API: http://data.gov.uk/terms-and-conditions

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.

Latest edition information
For the nineteenth edition (October 2025), data and documentation from the Next Steps 2019 Web Survey have been added to the study. The Longitudinal File has also been updated.

In the first quarter of 2024, retail revenue generated by mobile data services in the United Kingdom (UK) amounted to *** million British pounds, level with the same period in 2023.

The tables provide data on contraceptive activity taking place at dedicated Sexual and Reproductive Health (SRH) services in England, as recorded in the Sexual and Reproductive Health Activity Dataset (SRHAD), a mandated collection for all providers of NHS SRH services. A limited amount of data is presented from other sources; sterilisations and vasectomies in NHS hospitals and contraceptives dispensed in the community.

A February 2023 survey in the United Kingdom (UK) found that about ** percent of the respondents between 16 and 24 years were willing to share personal data in return for free online services. Older respondents, meanwhile, were less likely to do so. Over ** percent of the respondents aged 55 years and older said they would strongly disagree with sharing personal information for free online services, like news articles, games, and social media.

In the United Kingdom, online shopping and retail were the most trusted services when it came to consumers and their personal data. According to a survey conducted among UK consumers in 2018, ** percent of consumers said they trusted retailers to handle their data. The least trusted services were social media networks, eliciting a positive response from less than half of respondents.

NHS England collect and publish data about people with dementia at each GP practice in England, to enable NHS GPs and commissioners to make informed choices about how to plan their dementia services around patients’ needs. The publication includes the rate of dementia diagnosis. As not everyone with dementia has a formal diagnosis, this statistic compares the number of people thought to have dementia with the number of people diagnosed with dementia, aged 65 and over. Where current monthly data for a GP practice is unavailable, the most recent data available are used (up to a maximum of 6 months). Prior to October 2022, dementia data were collected via the dementia data core contract service and published as the "Recorded Dementia Diagnoses" series. The data in these two publication series are not comparable. This is due to the retrospective application of codes to patient records and changes in patient registration, as well as differences in coverage and the specification of several the counts. Refer to the ‘Related Links’ for the supporting information page where details on these changes can be found. Our statistical practice is regulated by the Office for Statistics Regulation (OSR). OSR sets the standards of trustworthiness, quality, and value in the Code of Practice for Statistics that all producers of official statistics should adhere to. You are welcome to contact us directly with any comments about how we meet these standards. Alternatively, you can contact OSR by emailing regulation@statistics.gov.uk or via the OSR website.

Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.