Residential Real Estate - G7

  • G7
  • In the G7 country, the Residential Real Estate market market is anticipated to achieve a staggering value of US$204.50tn by the year 2024.
  • This market segment is expected to display a steady annual growth rate (CAGR 2024-2029) of 3.24%, ultimately leading to a market volume of US$239.90tn by 2029.
  • When compared to other countries on a global scale, China is projected to generate the highest value in the Real Estate market, reaching US$112.9tn in 2024.
  • Canada's residential real estate market is experiencing a surge in demand due to low interest rates and a growing preference for suburban living.

Key regions: Europe, Brazil, France, Asia, United States

 
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Analyst Opinion

The Residential Real Estate market in G7 countries is experiencing several trends and developments driven by customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
In G7 countries, customers are increasingly seeking residential properties that offer a combination of convenience, affordability, and sustainability. There is a growing demand for properties located in urban areas with easy access to amenities such as schools, shopping centers, and public transportation. Additionally, customers are showing a preference for properties that are energy-efficient and environmentally friendly.

Trends in the market:
One noticeable trend in the Residential Real Estate market in G7 countries is the increasing popularity of smaller-sized homes. This can be attributed to changing demographics, with smaller households becoming more common. As a result, developers are focusing on building compact and well-designed residential units that maximize space utilization. Another trend in the market is the rise of co-living spaces and shared accommodations. This trend is driven by the desire for affordability and social interaction among residents. Co-living spaces offer shared common areas and amenities, allowing individuals to have a sense of community while also reducing living costs.

Local special circumstances:
Each G7 country has its own unique set of circumstances that influence the Residential Real Estate market. For example, in the United States, the market is influenced by factors such as population growth, job opportunities, and government policies. In Japan, an aging population and limited land availability are significant factors shaping the market.

Underlying macroeconomic factors:
The Residential Real Estate market in G7 countries is influenced by macroeconomic factors such as interest rates, inflation, and economic growth. Low-interest rates make borrowing more affordable, leading to increased demand for residential properties. Inflation can also impact the market, as rising prices may make it more difficult for potential buyers to afford properties. Economic growth plays a crucial role in the market, as it creates job opportunities and increases consumer confidence, driving demand for residential properties. In conclusion, the Residential Real Estate market in G7 countries is evolving to meet the changing preferences of customers. Smaller-sized homes and co-living spaces are gaining popularity, driven by factors such as changing demographics and the desire for affordability. Each country has its own unique circumstances that shape the market, and macroeconomic factors such as interest rates and economic growth also play a significant role. Overall, the market is adapting to meet the needs of customers while also considering local special circumstances and macroeconomic factors.

Methodology

Data coverage:

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

Modeling approach:

Market size is determined by a combined top-down and bottom-up approach. We use national statistics, international organizations, and industry associations to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country specific industry associations such as GDP, price level index, household wealth, household size, number of renter and owner households, housing consumer spending per capita.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market, for instance, 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:

Data is modeled using current exchange rates. 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
  • Volume
  • Analyst Opinion
  • Transaction Value
  • Revenue
  • Household Type
  • Methodology
  • Key Market Indicators
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