Real Estate - G7

  • G7
  • The Real Estate market market is forecasted to achieve a value of US$259.60tn in 2024.
  • Within the market, Residential Real Estate holds the majority share, with a projected market volume of US$204.50tn in 2024.
  • This sector is anticipated to exhibit a compound annual growth rate (CAGR 2024-2029) of 2.81%, leading to a market volume of US$298.20tn by 2029.
  • When comparing globally, United States is expected to generate the highest value in the Real Estate market sector, reaching US$132.0tn in 2024.
  • Germany's real estate market is experiencing a surge in demand, with high prices and low inventory creating a competitive landscape for buyers.

Key regions: United States, China, Japan, Germany, United Kingdom

 
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Analyst Opinion

The Real Estate market in G7 countries has been experiencing significant trends and developments in recent years. Customer preferences, local special circumstances, and underlying macroeconomic factors have all played a role in shaping the market. Customer preferences in the Real Estate market in G7 countries have been shifting towards more sustainable and energy-efficient properties. This trend is driven by increasing awareness of environmental issues and a desire to reduce carbon footprints. Customers are seeking properties with features such as solar panels, energy-efficient appliances, and green building materials. Additionally, there is a growing demand for properties located in urban areas with easy access to amenities and transportation. Trends in the market have also been influenced by local special circumstances in each G7 country. For example, in the United States, the real estate market has seen a surge in demand for suburban properties due to the COVID-19 pandemic. Many individuals and families are seeking larger homes with more outdoor space as remote work and virtual learning have become more prevalent. In Japan, on the other hand, the market has been impacted by an aging population and a decline in the number of young people entering the workforce. This has led to a decrease in demand for housing and a trend towards smaller, more affordable properties. Underlying macroeconomic factors have also played a role in shaping the Real Estate market in G7 countries. Low interest rates have made borrowing more affordable, leading to increased demand for properties. Additionally, economic growth and job stability have contributed to a positive outlook for the real estate market. However, fluctuations in the global economy and geopolitical tensions can also have an impact on the market. For example, uncertainty surrounding Brexit has affected the real estate market in the United Kingdom, with some investors choosing to hold off on property purchases until the situation becomes clearer. In conclusion, the Real Estate market in G7 countries is experiencing trends and developments driven by customer preferences, local special circumstances, and underlying macroeconomic factors. The shift towards sustainability, changes in housing preferences due to the pandemic, and economic factors such as low interest rates are all shaping the market. It is important for investors and stakeholders in the real estate industry to stay informed about these trends and developments in order to make informed decisions.

Methodology

Data coverage:

Figures are based on value of residential and commercial real estate, average real estate value, residential estate transactions and leases.

Modeling approach / Market size:

Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use data from international organizations and industry associations. Next we use relevant key market indicators and data from country-specific associations such as GDP, price level index, household wealth, household size, number of renter and owner households, housing consumer spending per capita. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, exponential trend smoothing. The main drivers are GDP per capita, population, number of renter and owner households, price level index, housing consumer spending per capita.

Additional Notes:

The market is updated twice per year in case market dynamics change. The impacts of the Russia-Ukraine war are considered at a country-specific level.

Overview

  • Value
  • Value Split
  • Volume
  • Analyst Opinion
  • Transaction Value
  • Methodology
  • Key Market Indicators
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