A list of businesses located in London showing a range of information including company name, address, postcode, local authority, and SIC code (industry).

The Free Company Data Product is a downloadable data snapshot containing basic company data of live companies on the register. The version available from Companies House has all UK business and is available to download in a series of Zip folders.

The London cut available to download here, was created using a postcode list. Therefore, if there is an error in the postcode, or some other problem caused the postcode listed not to match a London postcode, those business will not be included in the file. Furthermore, inaccuracies in postcodes may mean that no local authority is listed for a company.

Each entry represents a financial accounts submission of either a whole company or part of one. Some businesses have more than one entry in the directory because they need to submit more than one set of accounts for different parts of their business. Therefore, the number of entries in the directory will be greater than the number of businesses.

Note, Large file size - the Excel file is around 1 million rows. It loads in Excel 2010.

Companies House update the latest snapshot within 5 working days of the previous month end. The London file available here was published on 1 January 2015.

Abstract copyright UK Data Service and data collection copyright owner.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain 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.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

Main Topics:

The following variables are available for enterprises and local units:

• employment (and employees)
• turnover
• Standard Industrial Classification (1992, 2003 and 2007 classifications are available)
• legal status (e.g. sole proprietor, partnership, public corporation, non-profit organisation etc)
• foreign ownership
• birth (company start date)
• death (termination date of trading)
• various geographical variables
  

'Employment' includes business owners, whereas 'employees' measures the number of staff, excluding owners.

Observations for enterprises also include a variable for ownership if the enterprise is part of a large group of companies.

Local units have an additional ‘death code’ variable, which serves as an indicator as to why the plant closed (e.g. as a result of a merger). It should also be noted that there is no turnover information for individual plants. This is because the ONS does not collect financial information at the plant level, which is notoriously difficult, especially for manufacturing plants where often no financial transactions are processed.

The birth and death variables are particularly useful for research, although it should be noted that for businesses that began trading before 1973, their birth date will be set to 1973. This is the year that VAT was introduced in the UK, and hence the first point in time for VAT registration for these companies. Companies that began trading since 1973 have their ‘real’ date of birth listed.

Through two decades of campaigns delivery and optimization, Expandi has created the most comprehensive GDPR-compliant European database covering SMB, Midmarket, and Enterprise companies. Our data base is enriched with up-to-date technographic, financial and intent data. All our data is updated regularly and includes only active companies, allowing you to reach the most relevant and appropriate customers for your business. Businesses are researching the problems you solve. We track over 24 billion global data events each month to find businesses looking for your services.

Our available data: • Updated company Firmographic, Financial data (revenues, financial strength, profit/loss), Decision Making Unit structure, and Key decision maker contacts (name, job title, LinkedIn profile). • Multi-language buyer intent data coming from omni-channel interactions and scored by brand and solutions. • Technographic and brand preference data. • Company IP addresses and Device ID mapping and tracking to help you identify unknown online traffic and boost the results of your awareness and branding campaigns.

Target selection criteria: • Region / State-Province • Range employees (starting from 50+) • Range Revenues • Industry / Sub-industry • Financial strength • Decision Making Unit • Technographic data • Intent data solution / Intent data stage

Data delivery options: • One-off purchase • Yearly subscription to the Expandi Data as a Service platform

Exclusion and inclusion lists are accepted for one-off purchases only.

Let’s start today to boost your demand generation campaigns and raise awareness of your brand and solutions!

The Business Structure Database is managed by the Secure Data Service (SDS) and can only be accessed through secure conditions. The ‘domestic use’ input-output matrix, contains domestic trade flows describing intermediate demand between Standard-Industrial-Classification (SIC) coded sectors. This was obtained from the ONS.

GRIT (‘Geospatial Restructuring of Industrial Trade’) is an ESRC-funded project in the School of Geography at the University of Leeds. An energy revolution must take place if the worst effects of climate change are to be avoided. Even without the impact this may have (eg through carbon pricing), fuel costs have a very uncertain future. GRIT has two aims:

create a fine-grained picture of the current spatial structure of the UK economy

consider how changing fuel prices could alter that structure over the long term. GRIT examines the web of connections between businesses in the UK to identify sectors and locations facing the greatest changes.

GRIT will work with a unique dataset: the Business Structure Database contains information for nearly every UK business, including location and sector classification. This will be linked to sectoral trade flow data. These two sources offer an opportunity to map the current spatial distribution of economic activity in the UK and to think about how that distribution may change in the future. GRIT combines this data-driven approach with a plan to engage with organisations directly affected. GRIT will work closely with a small number of organisations and engage others through the project website.

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

Why Choose Success.ai?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

Numbers of enterprises and local units produced from a snapshot of the Inter-Departmental Business Register (IDBR) taken on 8 March 2024.

✔️ Easy-to-handle Excel Sheet ✔️ Human Researched and Verified leads with Direct contacts ✔️ Up to 40K Active Shopify third-party private Label Sellers lead direct contact and info ✔️ Up to 30+ data points for each prospect ✔️ Sort the list by seller revenue, size, product category, company location, traffic, and much more! ✔️ Enjoy a list that has been hand-researched and verified. No scrapped contacts!

Data includes: Store Traffic Store Category Brand Name Store company full address Company Employee Count Company Year Founded Company LinkedIn URL Store Contact First Name Store Contact Last Name Owner Direct Email Company Generic Email Company Phone Number Owner Linkedin URL Store Revenue Store Top Seller Country Organic Traffic % Paid Traffic %

About SellerDirectories: SellerDirectories.com provides human-researched and verified data on Amazon sellers and eCommerce Brands.

Our human-researched and verified data is trusted by companies like Walmart, Microsoft, Tencent, Helium10, and 250 more! ⭐ Check our verified 5-star reviews on Trustpilot ⭐ https://www.trustpilot.com/review/sellerdirectories.com ⭐

✅ Data Sources: Aggregated from 50+ sources

✅ Data Collection: Human Researched and verified (we don't like scrapped contact data)

✅ 98%+ accurate and up-to-date data (verified)

✅ Brand /seller Targeting Options: Multiple filters available (including revenue, location, business model, and product category)

✅ Customer Service: Lifetime support and accuracy guarantee on your list. Our lists include resources on how best to run outreach campaigns to turn a prospect list into actual business opportunities.

Buy B2B contact database with SellerDirectories.com, and get your B2B contacts database sorted!

The Cambridge Centre for Business Research Survey of Knowledge Exchange Activity with Universities by United Kingdom Companies, 2017-2021 contains the results of an online survey of directors of UK companies in 2020-2021.

The survey was designed to assess the extent and nature of the knowledge exchange interactions of their companies with the university sector. It covers the three-year period to March 2020 prior to the Covid-19 pandemic and questions relating to the subsequent impact of the pandemic on knowledge exchange patterns. The researchers inquired about 33 modes of interaction grouped into four broad categories. These were commercialisation (3 modes), people-based (10 modes), problem-solving (12 modes) and community-based (4 modes).

The survey covers a sample of 3,823 companies in all sectors, regions and countries of the UK and employment sizes ranging from micro-firms less than 10 employees, to the largest public listed corporations. The response rate was 4.4 per cent and a detailed response bias analyses by survey wave and prompt wave showed largely insignificant sample response bias compared to the sampling frame drawn from the FAME database of all UK companies.

The dataset provides a unique source of data on a critical period of challenge for knowledge exchange in the UK. David Sweeney, the then Executive Director of Research England which sponsored the survey commented on an initial report of results in 2022 that "This report which has an exclusive focus on company interactions with universities, is an important addition to our understanding of the collaboration process" (The Changing State of Business-University Interactions in the UK. Centre for Business Research and NCUB. 2022 p2).

The survey dataset contains many variables comparable with a similar previous postal survey of an earlier period by two members of the current research team. The data from this is available from the Data Archive under SN 6464 - Cambridge Centre for Business Research Survey of Knowledge Exchange Activity by United Kingdom Businesses, 2005-2009.

Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

Underlying data from the publication 'Research to understand the barriers to take up and use of business support' [URN 11/1288]. Data from a survey of 1,202 employer SMEs in England undertaken in March 2011. The survey was designed to provide statistically robust evidence of business use and non use of external business support services, differentiating between private sector and public sector sources of both routine information and strategic advice. The survey aimed to produce a broadly representative sample of SME employers and used a random stratified sample from the Experian database adopting quotas in order to capture sufficient numbers of businesses across key categories (age, size, sector, region). The data presented in the published report was weighted by size band to correct for over-sampling amongst larger SMEs.

United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 15.742 Number in 2016. This records an increase from the previous number of 14.564 Number for 2015. United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 11.202 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 15.742 Number in 2016 and a record low of 8.922 Number in 2009. United Kingdom UK: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; Unweighted average; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

United Kingdom E Commerce: Business: Over Website: 1000+ Employees data was reported at 45.700 % in 2016. This records an increase from the previous number of 43.700 % for 2015. United Kingdom E Commerce: Business: Over Website: 1000+ Employees data is updated yearly, averaging 44.200 % from Dec 2008 (Median) to 2016, with 9 observations. The data reached an all-time high of 46.500 % in 2012 and a record low of 33.000 % in 2008. United Kingdom E Commerce: Business: Over Website: 1000+ Employees data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.S031: E Commerce: Proportion of Businesses Making E Commerce Sales.

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

Success.ai offers B2B marketing data across industries and geographies, tailored to fit your specific business needs. With our white-glove service, you’ll receive curated, ready-to-use company datasets without the hassle of managing data platforms yourself. Whether you’re looking for UK B2B data or global datasets, Success.ai ensures a seamless experience with the most accurate and up-to-date information in the market.

Why Choose Success.ai’s Company Data Solution? At Success.ai, we prioritize quality and relevancy. Every company profile is AI-validated for a 99% accuracy rate and manually reviewed to ensure you're accessing actionable and GDPR-compliant data. Our price match guarantee ensures you receive the best deal on the market, while our white-glove service provides personalized assistance in sourcing and delivering the data you need.

Why Choose Success.ai?

• Best Price Guarantee: We offer industry-leading pricing and beat any competitor.
• Global Reach: Access over 28 million verified company profiles across 195 countries.
• Comprehensive Data: Over 15 data points, including company size, industry, funding, and technologies used.
• Accurate & Verified: AI-validated with a 99% accuracy rate, ensuring high-quality data.
• Real-Time Updates: Stay ahead with continuously updated company information.
• Ethically Sourced Data: Our B2B data is compliant with global privacy laws, ensuring responsible use.
• Dedicated Service: Receive personalized, curated data without the hassle of managing platforms.
• Tailored Solutions: Custom datasets are built to fit your unique business needs and industries.

Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new markets. With continuous data updates, Success.ai ensures you’re always working with the freshest information.

Key Use Cases:

• Targeted Lead Generation: Build accurate lead lists by filtering data by company size, industry, or location. Target decision-makers in key industries to streamline your B2B sales outreach.
• Account-Based Marketing (ABM): Use B2B company data to personalize marketing campaigns, focusing on high-value accounts and improving conversion rates.
• Investment Research: Track company growth, funding rounds, and employee trends to identify investment opportunities or potential M&A targets.
• Market Research: Enrich your market intelligence initiatives by gain...

✔️ Easy-to-handle Excel Sheet ✔️ Human Researched and Verified leads with Direct contacts ✔️ Up to 🇬🇧30K Active Amazon third-party private Label Sellers lead direct contact and info ✔️ Up to 30+ data points for each prospect ✔️ Sort your list by store size, product category, company location, and much more! ✔️ Enjoy a list that has been hand-researched and verified. No scrapped contacts! Buy B2B contact database with SellerDirectories.com, and get your B2B contacts database sorted!

Data includes: Seller ID Seller Business Model: Private Label Seller/Wholesaler Estimated Annual Revenue in $ ( accurate +/-30%) Annual Revenue Bracket [$] % of goods shipped in FBA Amazon Seller Page Seller Website Decision Maker First Name Decision Maker Last Name Direct Email Generic Email Office Phone Number Decision Maker Linkedin URL Seller Name Seller Storefront Link Seller Business Name Seller Business Full Address City State Zip Seller Business Country Number of Reviews [30 days] Number of Reviews [90 days] Number of Reviews [12 months] Number of Reviews [lifetime] Seller Rating Lifetime Total number of products Total number of brands Brands Top Product URL Top Product Shipping From Top Product Category Top Product SubCategory

About SellerDirectories: SellerDirectories.com provides human-researched and verified data on Amazon sellers and eCommerce Brands.

Our human-researched and verified data is trusted by companies like Walmart, Microsoft, Tencent, Helium10, and 250 more! ⭐ Check our verified 5-star reviews on Trustpilot ⭐ https://www.trustpilot.com/review/sellerdirectories.com ⭐

✅ Data Sources: Aggregated from 50+ sources

✅ Data Collection: Human Researched and verified (we don't like scrapped contact data)

✅ 98%+ accurate and up-to-date data (verified)

✅ Brand /seller Targeting Options: Multiple filters available (including revenue, location, business model, and product category)

✅ Customer Service: Lifetime support and accuracy guarantee on your list. Our lists include resources on how best to run outreach campaigns to turn a prospect list into actual business opportunities.

United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 7.000 NA in 2017. United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 7.000 NA from Dec 2017 (Median) to 2017, with 1 observations. United Kingdom UK: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

United Kingdom UK: Time Required to Start a Business: Male data was reported at 4.500 Day in 2017. This stayed constant from the previous number of 4.500 Day for 2016. United Kingdom UK: Time Required to Start a Business: Male data is updated yearly, averaging 10.500 Day from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 13.000 Day in 2004 and a record low of 4.500 Day in 2017. United Kingdom UK: Time Required to Start a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Company Statistics. Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

United Kingdom UK: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data was reported at 0.000 % in 2017. This records a decrease from the previous number of 0.100 % for 2016. United Kingdom UK: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data is updated yearly, averaging 0.700 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 1.000 % in 2003 and a record low of 0.000 % in 2017. United Kingdom UK: Cost of Business Start-Up Procedures: % of GNI Per Capita: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

These data were generated as part of a two-and-a-half-year ESRC-funded research project examining the digitalisation of higher education (HE) and the educational technology (Edtech) industry in HE. Building on a theoretical lens of assetisation, it focused on forms of value in the sector, and governance challenges of digital data. It followed three groups of actors: UK universities, Edtech companies, and investors in Edtech. The researchers first sought to develop an overview of the Edtech industry in HE by building three databases on Edtech companies, investors in Edtech, and investment deals, using data downloaded from Crunchbase, a proprietary platform. Due to Crunchbase’s Terms of Service, only parts of one database are allowed to be submitted to this repository, i.e. a list of companies with the project’s classification. A report offering descriptive analysis of all three databases was produced and is submitted as well. A qualitative discursive analysis was conducted by analysing seven documents in depth. In the second phase, researchers conducted interviews with participants representing three groups of actors (n=43) and collected documents on their organisations. Moreover, a list of documents collected from Big Tech (Microsoft, Amazon, and Salesforce) were collected to contextualise the role of global digital infrastructure in HE. Due to commercial sensitivity, only lists of documents collected about investors and Big Tech are submitted to the repository. Researchers then conducted focus groups (n=6) with representatives of universities (n=19). The dataset includes transcripts of focus groups and outputs of writing by participants during the focus group. Finally, a public consultation was held via a survey, and 15 participants offered qualitative answers.

Abstract copyright UK Data Service and data collection copyright owner.

The Mergers and Acquisitions Survey presents information and data on the timing, value, number and methods of funding of Mergers and Acquisitions transactions involving UK businesses with deal values of £1 million and above.

The Mergers and Acquisitions Survey consists of three categories of investment:

• inward investment (acquisitions of UK companies by foreign companies);
• outward investment (UK companies acquisitions of foreign companies);
• domestic Mergers and Acquisitions (acquisitions of UK companies by other UK companies).
  

The sampling source for the Mergers and Acquisitions Survey was changed in January 2018; Bureau Van Dijk's Zephyr database is now used as the starting point for deal identification.

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.

Limited metadata is available about this study but further information about how the data are used, and the latest publications, are available on the ONS Mergers and Acquisitions webpages.

Latest edition information
For the second edition (August 2023), annual inward, outward and domestic 2021 data files have been added to the study. The variable list for 2021 has also been added.

Main Topics:

A dataset is available for each year, for all three categories of investment (inward, outward and domestic).