The number of non-residential property purchase transactions in the UK fell to a record low in April 2020 due to the coronavirus (COVID-19) pandemic. In the second half of 2020, transaction activity recovered, and in May 2025, the number of seasonally adjusted transactions amounted to 9,760.

This statistic shows the capital value of commercial property in the United Kingdom between 2003 and 2018. At the beginning of the period the capital value of commercial property in the United Kingdom was *** billion British pounds. In 2018, the capital value amounted to *** billion British pounds, which was an increase from the previous year and the highest value recorded during the observation period.

Industrial real estate is forecast to experience the highest annualized capital growth in the commercial real estate sector in the UK between 2025 and 2029. On average, capital values for commercial property are expected to increase by ***** percent per year, while for industrial real estate, that figure amounted to *** percent. Additionally, industrial is forecast to experience the ******-highest return on investment in the commercial property sector.

As of the last month of 2024, the value of the commercial real estate market in the United Kingdom (UK) was almost *** trillion U.S. dollars, which was an increase of about *** million U.S. dollars compared to 2023. After Germany, the UK was the second-largest commercial real estate market in Europe.

Last updated on 22 Feb 2025

Introduction

This dataset provides comprehensive information on property sales in England and Wales, sourced from the UK government's HM Land Registry. Although the government site claims to update on the same day each month, actual updates can vary. To bridge this update variation gap, our fully automated ETL pipeline retrieves the official government data on a daily basis. This ensures that the dataset always reflects the most current transaction data available.

ETL Process

Our ETL (Extract, Transform, Load) process is designed to automate the data update and publishing workflow: 1. Extract:
The pipeline uses web scraping to retrieve the latest data from the official government website. This step is necessary as the site does not offer an API. 2. Transform:
Before loading the data, the ETL pipeline processes the dataset to ensure consistency and usability. As part of the transformation stage, the first column (Transaction_unique_identifier) is removed. This column is dropped during staging to focus on the most relevant transactional information. The column removal successfully reduces the data file size from almost 6GB to 3.1GB, and therefore will greatly increase the data analysis efficiency, and reduces the chance of kernal error/restart. 3. Load:
Finally, the transformed data is loaded into the dataset.

The transformed data is loaded into the dataset in two parts: - Complete Data (pp-complete.csv): This file encompasses all records from January 1995 to the present. The complete data file is replaced during each update to reflect any corrections or additional historical data. The first column is price. - Monthly Data: A separate monthly file is amended each month. This monthly archive ensures a complete record of updates over time, allowing users to track changes and trends more granularly.

Summary of Results

The dataset (pp-complete.csv) contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions—from residential to commercial properties—providing a holistic view of the real estate market in England and Wales.

Column Descriptions

The original data includes the following columns: - Transaction_unique_identifier
- price
- Date_of_Transfer
- postcode
- Property_Type
- Old/New
- Duration
- PAON
- SAON
- Street
- Locality
- Town/City
- District
- County
- PPDCategory_Type
- Record_Status - monthly_file_only

Note: As part of the transformation process, the Transaction_unique_identifier column is removed from the final published pp-complete.csv data file. Therefore the first column of the pp-complete.csv file is price.

Address data Explanation - Postcode: The postal code where the property is located. - PAON (Primary Addressable Object Name): Typically the house number or name. - SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. - Street: The street name where the property is located. - Locality: Additional locality information. - Town/City: The town or city where the property is located. - District: The district in which the property resides. - County: The county where the property is located. - Price Paid: The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:

>"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

Suggested Usages

Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 28 November 2025 and was updated with provisional data from completed transactions during October 2025.

The next release will be published 09:30 09 January 2026 and will be updated with provisional data from completed transactions during November 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Discover the booming UK real estate services market! This in-depth analysis reveals a £32.45 billion industry with a 3% CAGR, driven by urbanization and proptech. Explore market trends, key players (Rightmove, British Land, Hammerson), and regional insights for 2025-2033. Recent developments include: January 2023: United Kingdom Sotheby's Property Business Acquired by the Dubai Branch of Sotheby's. UK Sotheby International Realty was previously owned by Robin Paterson, who sold the business to his business partner and affiliate, George Azar. George Azar currently holds and operates Sotheby's Dubai and the MENA region., November 2022: JLL identified a shortage of quality rental homes as a long-term problem for the UK, which the recent boom in rentals has accentuated. This unmet need for quality rental homes has led to continued investor interest in purpose-built rental properties in UK city centers. JLL reported that annual investment in UK living real estate reached £10bn (USD 12.73 bn) in Q3 2022, setting living on track for another record year.. Key drivers for this market are: Improvements in Infrastructure and New Development, Population Growth and Demographic Changes. Potential restraints include: Improvements in Infrastructure and New Development, Population Growth and Demographic Changes. Notable trends are: Increasing in the United Kingdom House Prices.

Snapshot img

Commercial Real Estate Market Size 2025-2029

The commercial real estate market size is valued to increase USD 427.3 billion, at a CAGR of 4.6% from 2024 to 2029. Growing commercial sector globally will drive the commercial real estate market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 42% growth during the forecast period.
By End-user - Offices segment was valued at USD 476.50 billion in 2023
By Channel - Rental segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 43.44 billion
Market Future Opportunities: USD 427.30 billion
CAGR : 4.6%
APAC: Largest market in 2023

Market Summary

The market is a dynamic and ever-evolving sector that continues to shape the global business landscape. Core technologies and applications, such as Building Information Modeling (BIM) and Real Estate Information Systems (REIS), are increasingly being adopted to streamline operations and enhance efficiency. According to a recent report, the BIM market in the real estate sector is projected to grow at a steady pace, reaching a market share of 30% by 2025. Service types and product categories, including property management, brokerage, and construction services, are also experiencing significant changes. For instance, the growing trend of remote work and online shopping is driving demand for flexible and adaptable commercial spaces.
Additionally, regulations and policies are evolving to accommodate these changes, with many governments investing in smart city initiatives and green building standards. Despite these opportunities, the market faces challenges such as economic uncertainty, changing demographics, and increasing competition. However, these challenges also present new opportunities for innovation and growth. For instance, the adoption of proptech solutions and the integration of artificial intelligence and machine learning are transforming the way commercial real estate is bought, sold, and managed. Overall, the market is a complex and dynamic ecosystem that requires constant monitoring and adaptation to stay ahead of the curve.

What will be the Size of the Commercial Real Estate Market during the forecast period?

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How is the Commercial Real Estate Market Segmented and what are the key trends of market segmentation?

The commercial real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Offices
  Retail
  Leisure
  Others


Channel

  Rental
  Lease
  Sales


Transaction Type

  Commercial Leasing
  Property Sales
  Property Management


Service Type

  Brokerage Services
  Property Development
  Valuation Consulting
  Facilities Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    Egypt
    KSA
    Oman
    UAE


  APAC

    China
    India
    Japan


  South America

    Argentina
    Brazil


  Rest of World (ROW)

By End-user Insights

The offices segment is estimated to witness significant growth during the forecast period.

In the ever-evolving market, the offices segment is experiencing significant growth, driven by shifting work trends and corporate demands. Flexible work arrangements, hybrid models, and technological integration are transforming the need for office space. Businesses prioritize contemporary, adaptable, and technologically advanced workspaces to attract and retain talent. Co-working spaces like Regus and WeWork, which offer flexible office solutions, are gaining popularity. Major corporations, such as Google and Amazon, invest in innovative office designs that foster collaboration and employee satisfaction. According to recent market data, the offices end-user segment is projected to expand by 15% between 2024 and 2028, underscoring the continuous adaptation of workspaces to modern business practices.

Meanwhile, tenant occupancy rates remain a critical concern for commercial property owners. Lease agreement terms, negotiation strategies, and rent collection efficiency are essential factors in maintaining a healthy portfolio. Building lifecycle costs, code compliance, and investment return metrics are other essential considerations for property managers. Environmental impact assessments, construction cost estimating, and property tax appeals are also crucial elements in the market. Property value depreciation, commercial property insurance, and portfolio risk management are essential aspects of property management. Property management software, energy efficiency upgrades, and property tax assessments are key tools for optimizing o

Snapshot img

Europe Commercial Real Estate Market Size 2025-2029

Europe commercial real estate market size is forecast to increase by USD 91.4 billion at a CAGR of 5.7% between 2024 and 2029. European commercial real estate market is experiencing significant growth, with increasing private investment pouring into the sector. The primary catalyst fueling market growth is the increasing aggregate private investment.This trend is driven by a robust economic environment, favorable demographic shifts, and the ongoing recovery from the COVID-19 pandemic.

Market Size & Forecast

  Market Opportunities: USD 31.78 billion
  Future Opportunities: USD 91.4 billion 
  CAGR : 5.7%  

However, this growth comes with challenges,rising interest rates pose a threat to affordability and profitability, potentially dampening investor enthusiasm and increasing borrowing costs. As a result, companies must navigate this complex landscape by carefully assessing potential investment opportunities, considering alternative financing options, and adapting to changing market conditions. In order to capitalize on the market's potential and mitigate risks, strategic planning and agility will be essential for success.

What will be the size of Europe Commercial Real Estate Market during the forecast period?

Request Free Sample

European commercial real estate market continues to evolve, presenting dynamic opportunities across various sectors. Property risk assessment and building inspection reports play crucial roles in mitigating potential hazards, ensuring compliance with safety standards. Property tax appeals and portfolio diversification help investors minimize risk and maximize returns. Facility management services, property valuation techniques, and property value metrics enable effective asset management. Data-driven investment strategies, including transaction closing costs, space planning solutions, and development approval processes, facilitate informed decision-making. Capital expenditure planning, portfolio optimization, operating expense control, lease contract review, energy consumption audits, and commercial lease terms are essential for maintaining profitability.
For instance, the adoption of energy management systems in commercial buildings has led to a 10% average reduction in energy consumption, contributing to cost savings and environmental sustainability. Commercial real estate market is expected to grow by 3% annually, driven by these evolving trends and the ongoing demand for efficient, sustainable, and compliant properties.

How is this Europe Commercial Real Estate Market segmented?

Europe commercial real estate market market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029,for the following segments.

Type

  Rental
  Lease
  Sales


End-user

  Offices
  Retail
  Leisure
  Others


End-User

  Corporate
  Investment
  Government


Location

  Urban
  Suburban


Geography

  Europe

    France
    Germany
    Italy
    UK

By Type Insights

The rental segment is estimated to witness significant growth during the forecast period. European commercial real estate market is characterized by dynamic lease renewal negotiations, construction project management, and insurance considerations for green building certification and property refurbishment costs. Zoning regulations compliance and vacancy loss calculations are crucial elements in property acquisition strategy, while property tax optimization and valuation models inform building lifecycle cost analyses. Property management software and tenant occupancy rates are essential for portfolio performance metrics, and market rent surveys guide tenant retention strategies. Portfolio risk management, building code compliance, property data analytics, and rental income projections are integral to asset management strategies. Due diligence processes and capitalization rate analysis are vital during urban planning regulations and space utilization analysis.

In the rental segment, growth is expected to reach over 5% annually, with office rents in the UK, Benelux markets, and peripheral Europe experiencing the highest quarterly growth of 1.8%. However, investment markets remain cautious due to economic uncertainties and rising inflation and finance rates, despite the leasing market's strength and increasing rents. For instance, rental income in the office sector in Paris grew by 3.5% in 2021, reaching €1,122 per square meter per year.

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Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

European commercial real estate market continues to be a significant global investment destina

introduction

This dataset provides comprehensive information on property sales in England and Wales, as sourced from the UK government's HM Land Registry. It offers valuable insights into property transactions, including sale prices, locations, and types of properties sold. This dataset is particularly useful for analysts, researchers, and businesses looking to understand market trends, property valuations, and investment opportunities in the real estate sector of England and Wales.

Summary of Results

The dataset contains records of property sales dating back to January 1995, up to the most recent monthly data. It covers various types of transactions, from residential to commercial properties, providing a holistic view of the real estate market in England and Wales.

Column Descriptions

colnames=['Transaction_unique_identifier', 'price', 'Date_of_Transfer', 'postcode', 'Property_Type', 'Old/New', 'Duration', 'PAON', 'SAON', 'Street', 'Locality', 'Town/City', 'District', 'County', 'PPDCategory_Type', 'Record_Status - monthly_file_only' ]

Address data Explaination Postcode: The postal code where the property is located. PAON (Primary Addressable Object Name): Typically the house number or name. SAON (Secondary Addressable Object Name): Additional information if the building is divided into flats or sub-buildings. Street: The street name where the property is located. Locality: Additional locality information. Town/City:The town or city where the property is located. District: The district in which the property resides. County:The county where the property is located. Price Paid:The price for which the property was sold.

Legal and Ethical Considerations

Ownership and Attribution

This dataset is the property of HM Land Registry and is released under the Open Government Licence (OGL). If you use or publish this dataset, you are required to include the following attribution statement:

"Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0."

Usage Guidelines

The data can be used for both commercial and non-commercial purposes.

The OGL does not cover third-party rights, which HM Land Registry is not authorized to license. For any other use of the Address Data, you must contact Royal Mail.

##Suggested Usages Market Trend Analysis: Understand the ups and downs of the property market over time. Investment Research: Identify potential areas for property investment. Academic Studies: Use the data for economic research and studies related to the housing market. Policy Making: Assist government agencies in making informed decisions regarding housing policies. Real Estate Apps: Integrate the data into apps that provide property price information services.

By using this dataset, you agree to abide by the terms and conditions as specified by HM Land Registry. Failure to do so may result in legal consequences.

The UK house price index (UK HPI) represents changes in the value of UK residential properties (i.e., detached houses, semi-detached houses, terraced houses, flats and maisonettes) and indicates trends in the UK housing market. The UK HPI applies a hedonic regression model that utilises the various sources of data on property price (e.g., HM Land Registry's Price Paid dataset) to allow for a true comparison of UK property prices in each period. The data is sourced from the Office for National Statistics (ONS) and HM Land Registry, using house sales data from HM Land Registry, Registers of Scotland, and Land and Property Services Northern Ireland. Forecast data is estimated by IBISWorld, with reference to Office for Budget Responsibility (OBR) forecasts submitted in its 'Economic and fiscal outlook – March 2022' publication. The figures are presented with a base month in 2015 (i.e., January 2015 = 100) and are averages of the UK HPI over each financial year (i.e., April-March).

Ebitda Time Series for UK Commercial Property Trust. UK Commercial Property REIT Limited ("UKCM") is a listed Real Estate Investment Trust (REIT) with a net asset value of £1.1 billion as at 30 June 2023. UKCM is one of the largest diversified REITs in the UK and is a component of the FTSE 250 index made up of the largest 350 companies with a primary listing on the London Stock Exchange.

Change-In-Other-Working-Capital Time Series for UK Commercial Property Trust. UK Commercial Property REIT Limited ("UKCM") is a listed Real Estate Investment Trust (REIT) with a net asset value of £1.1 billion as at 30 June 2023. UKCM is one of the largest diversified REITs in the UK and is a component of the FTSE 250 index made up of the largest 350 companies with a primary listing on the London Stock Exchange.

This statistic illustrates the value of the commercial property market in the United Kingdom (UK) from 2012 to 2016. It can be seen that in 2016 the commercial property market reached a value of 883 billion British pounds.

This dataset contains a cleaned and enhanced version of publicly available UK housing transaction data, sourced from HM Land Registry. It covers housing sales across England, Wales, Scotland, and Northern Ireland from 2000 to 2023.

The dataset is preprocessed for immediate use in machine learning, statistical analysis, and data storytelling tasks. Here’s your UK Housing Dataset Column Descriptor, followed by where and how to apply it in Hugging Face or Kaggle:

Column Descriptions (for cleaned_uk_housing_prices.csv)

| price_per_sqm | Float | Estimated price per square meter (if available) | | log_price | Float | Log-transformed sale price (useful for ML models) |

United Kingdom Credit Cond: CL: L3: AB: Factor: Commercial Property Prices data was reported at 0.000 % Point in Sep 2018. This stayed constant from the previous number of 0.000 % Point for Jun 2018. United Kingdom Credit Cond: CL: L3: AB: Factor: Commercial Property Prices data is updated quarterly, averaging 0.000 % Point from Mar 2008 (Median) to Sep 2018, with 43 observations. The data reached an all-time high of 23.200 % Point in Dec 2013 and a record low of -58.200 % Point in Sep 2008. United Kingdom Credit Cond: CL: L3: AB: Factor: Commercial Property Prices data remains active status in CEIC and is reported by Bank of England. The data is categorized under Global Database’s United Kingdom – Table UK.KB020: Credit Conditions Survey: Corporate Lending: Last 3 Months.

The United Kingdom Real Estate Market Report is Segmented by Property Type (Residential and Commercial), by Business Model (Sales and Rental), by End User (Individuals/Households, Corporates & SMEs and Others), and by Country (England, Scotland, Wales, and Northern Ireland). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

Dataset ranking the top 20 UK commercial property occupants by rateable value in 2025. Tesco leads with £113.52 million, followed by Lidl (£86.96 million), Aldi (£80.28 million), among others according to Doorda's Commercial Property Database.

This dataset contains synthetic data representing key economic indicators and housing market trends in the UK from 2002 to 2023. The dataset includes quarterly data points for the following variables:

Date: Quarterly timestamps from Q1 2002 to Q4 2023. Housing Cost Index: An index representing the general trend in UK housing prices over time. The values are generated to simulate a typical upward trend observed in real estate markets. Interest Rate (%): The Bank of England's base interest rate, represented as a percentage. The values range from 0.5% to 6%, reflecting typical interest rate fluctuations. Inflation Rate (%): The Consumer Price Index (CPI) values, represented as a percentage, ranging from 1% to 5%, simulating typical inflation trends. Employment Levels (000s): The number of employed individuals in the UK, represented in thousands. The data simulates employment levels ranging from 25 million to 35 million. Growth in Wage (%): The average wage growth rate per quarter, represented as a percentage, ranging from 2% to 7%. GDP Growth Rate (%): The quarterly growth rate of the UK's Gross Domestic Product (GDP), represented as a percentage, with values ranging from -2% to 5%, simulating economic growth and contraction periods. This dataset can be used for educational purposes, including time series analysis, regression modeling, and economic research. Please note that the data is synthetic and not derived from actual historical records. It aims to replicate realistic patterns and trends observed in the UK economy and housing market during the specified period.