Nahb Housing Market Index in the United States decreased to 32 points in June from 34 points in May of 2025. This dataset provides the latest reported value for - United States Nahb Housing Market Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Real Estate Markets (EMVMACRORE) from Jan 1985 to May 2025 about volatility, uncertainty, equity, real estate, and USA.

Single Family Home Prices in the United States increased to 422800 USD in May from 414000 USD in April of 2025. This dataset provides - United States Existing Single Family Home Prices- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jun 2025 about median and USA.

Housing Index in China decreased by 3.20 percent in June from -3.50 percent in May of 2025. This dataset provides the latest reported value for - China Newly Built House Prices YoY Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Affordable Housing Market Outlook

According to our latest research, the affordable housing market size reached USD 69.2 billion globally in 2024, driven by rapid urbanization, supportive government policies, and rising demand for cost-effective housing solutions. The market is projected to expand at a robust CAGR of 6.1% from 2025 to 2033, reaching an estimated USD 117.4 billion by the end of the forecast period. The growth is primarily attributed to increasing urban migration, widening income disparities, and a surge in public and private investments aimed at addressing the global housing deficit. As per our latest research, the affordable housing sector is undergoing significant transformation as stakeholders focus on innovative construction methods, sustainable materials, and digital technologies to streamline project delivery and reduce costs.

One of the primary growth drivers for the affordable housing market is the escalating rate of urbanization, particularly in emerging economies. Urban populations are swelling at an unprecedented pace, with millions migrating to cities in search of better employment opportunities and improved living standards. This mass migration has led to a surge in demand for affordable, quality housing, placing immense pressure on urban infrastructure and local governments. Consequently, both public and private sector players are ramping up investments in affordable housing projects, leveraging innovative financing models and partnerships to bridge the housing gap. Furthermore, the emergence of smart city initiatives and sustainable urban planning is fostering the development of integrated, affordable housing solutions that cater to the diverse needs of low- and middle-income populations.

Another significant factor propelling the affordable housing market is the increasing involvement of governments and international organizations in addressing the global housing crisis. Numerous policy interventions, such as subsidies, tax incentives, and relaxed regulatory frameworks, are being introduced to stimulate the supply of affordable homes. Governments are also collaborating with private developers through public-private partnerships (PPPs) to expedite project execution and ensure long-term sustainability. Additionally, multilateral agencies and non-governmental organizations are providing technical and financial assistance to support large-scale affordable housing initiatives, particularly in regions with acute housing shortages. These concerted efforts are not only enhancing access to affordable housing but also fostering socio-economic development and reducing urban poverty.

Technological advancements in construction methods and materials are further accelerating the growth of the affordable housing market. The adoption of modular and prefabricated construction techniques is enabling developers to deliver high-quality housing units at lower costs and within shorter timeframes. These innovative approaches are also contributing to improved energy efficiency, reduced environmental impact, and enhanced structural durability. Moreover, the integration of digital technologies, such as Building Information Modeling (BIM) and project management software, is streamlining the design, planning, and execution of affordable housing projects. As a result, stakeholders are increasingly embracing technology-driven solutions to optimize resource utilization, minimize risks, and ensure compliance with stringent regulatory standards.

From a regional perspective, Asia Pacific continues to dominate the affordable housing market, accounting for the largest share in 2024, followed by North America and Europe. The region's rapid urbanization, burgeoning population, and proactive government policies are driving significant investments in affordable housing infrastructure. Countries such as China, India, and Indonesia are at the forefront, implementing ambitious housing schemes and leveraging innovative construction technologies to address the growing demand. Meanwhile, developed regions like North America and Europe are witnessing renewed interest in affordable housing, fueled by rising property prices, income inequality, and shifting demographic trends. Latin America and the Middle East & Africa are also emerging as promising markets, supported by favorable regulatory environments and increased foreign direct investments.

Housing Index in the United States decreased to 434.90 points in April from 436.70 points in March of 2025. This dataset provides the latest reported value for - United States House Price Index MoM Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

From 2007 to 2016, the EU prefabricated buildings market showed a mixed trend pattern. A significant drop in 2008 (79% Y-o-Y) was followed by a gradual increase over the next three years until it plunged again in 2013 (91% Y-o-Y).

Introduction

The global rental apps for real estate market are witnessing rapid digital transformation, with the market size projected to grow from USD 12.03 billion in 2024 to USD 38.4 billion by 2034, expanding at a CAGR of 12.30% during the forecast period.

This growth is driven by increased smartphone penetration, evolving consumer preferences, and the rising adoption of digital platforms for property search and lease management. In 2024, North America dominated the market with a 36.1% share, generating approximately USD 4.3 billion in revenue. The U.S. market alone was valued at USD 3.91 billion and is expected to grow at a CAGR of 11.4%.

Among the application types, mobile apps led the way, capturing 62.1% of the market, offering users on-the-go access to property listings, virtual tours, and real-time communications. The residential segment accounted for 65.3% of the overall market due to growing urban migration and demand for short-term housing.

Short-term rentals dominated usage, commanding a 76.4% share, driven by the popularity of vacation rentals and flexible leasing. Individual consumers made up 75.8% of the user base, highlighting a shift towards self-service property management tools. These trends indicate a strong consumer appetite for seamless, digital-first real estate solutions.

Canada Mortgage and Housing Corporation's Housing Market Information portal offers free, easy-to-use access to the latest housing market data for Canada.

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

Housing Index in Spain increased to 2033 EUR/SQ. METRE in the first quarter of 2025 from 1972.10 EUR/SQ. METRE in the fourth quarter of 2024. This dataset provides the latest reported value for - Spain House Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing Market

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Introduction

The global AI in real estate market is experiencing remarkable growth, with projections indicating a substantial increase in value. By 2033, the market is anticipated to reach a staggering USD 41.5 billion, reflecting a notable compound annual growth rate (CAGR) of 30.5% during the forecast period from 2024 to 2033. This growth trajectory underscores the transformative impact of artificial intelligence (AI) on the real estate sector, revolutionizing various aspects of operations and decision-making processes.

The integration of Artificial Intelligence (AI) in real estate is transforming how the industry operates, from property management to sales. AI technologies enable more efficient data processing and interpretation, facilitating better decision-making. Key applications include automated valuation models, predictive analytics for market trends, and chatbots for customer service. This innovation leads to improved user experiences and operational efficiencies.

The AI in real estate market is experiencing significant growth. This expansion can be attributed to the increasing demand for smarter and more efficient real estate solutions, which AI provides. Real estate companies are investing in AI to enhance property search engines, implement smart home technologies, and improve transaction processes. These advancements are attracting both investors and companies looking to capitalize on the enhanced capabilities of AI to streamline operations and increase profitability.

Despite challenges such as data privacy concerns and the integration of AI with traditional systems, the momentum for AI adoption in real estate remains strong. AI has the potential to create significant value for the industry, ranging from cost reduction to operational improvement. According to surveys, AI could generate substantial value ranging from $110 billion to $180 billion and beyond, highlighting its transformative potential.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Understanding the Dynamics and Implications of a Housing Market Recession

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Tiny House Market Outlook

According to our latest research, the tiny house market size reached USD 21.1 billion globally in 2024, with a robust compound annual growth rate (CAGR) of 6.8% expected from 2025 to 2033. This growth trajectory is anticipated to propel the market to a forecasted value of USD 38.2 billion by 2033. The market’s expansion is primarily driven by rising urbanization, escalating housing costs, and a growing consumer preference for sustainable, minimalist living. As per the latest research, the tiny house market is rapidly evolving, with innovative construction methods and diverse applications fueling widespread adoption and investment across key global regions.

One of the most significant growth factors in the tiny house market is the increasing affordability crisis in the global housing sector. As urban populations swell and traditional home prices continue to soar, many individuals and families are seeking cost-effective alternatives that do not compromise on comfort or quality. Tiny houses, with their lower upfront costs and reduced maintenance expenses, present an attractive solution for first-time homebuyers, retirees, and those aiming to downsize. Additionally, the flexibility of tiny house designs allows for customization to suit a variety of needs, making them an appealing choice for a diverse demographic. This shift toward affordable and sustainable living is further supported by governmental incentives and relaxed zoning regulations in several regions, which have collectively contributed to the market’s upward momentum.

Another pivotal factor driving the growth of the global tiny house market is the rising environmental consciousness among consumers. With increasing awareness of climate change and resource depletion, there is a marked preference for eco-friendly housing solutions that minimize carbon footprints and promote energy efficiency. Tiny houses are often constructed using sustainable materials and are designed to optimize energy usage, featuring solar panels, rainwater harvesting systems, and advanced insulation techniques. These green attributes not only reduce operational costs but also resonate with environmentally conscious buyers, positioning tiny houses as a leading choice in the sustainable housing movement. The market has also benefited from the proliferation of off-grid living trends, where tiny houses serve as ideal units for remote, nature-integrated lifestyles.

Technological advancements and innovative construction methods have played a crucial role in propelling the tiny house market forward. Prefabrication and modular construction techniques have significantly reduced build times and costs, enabling rapid deployment and scalability of tiny house projects. Furthermore, the integration of smart home technologies and multifunctional furniture has enhanced the livability and utility of these compact spaces, making them suitable for a wide range of applications beyond traditional residential use. The growing interest from commercial sectors, such as hospitality and tourism, has also expanded the market’s reach, with tiny houses being utilized as vacation rentals, guest lodges, and mobile offices. This diversification of applications is expected to sustain the market’s growth trajectory well into the next decade.

From a regional perspective, North America continues to dominate the tiny house market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, has witnessed a surge in tiny house communities and regulatory reforms that support alternative housing models. Meanwhile, Europe is experiencing increased adoption due to stringent environmental regulations and a strong cultural emphasis on sustainability. In Asia Pacific, rapid urbanization and population density challenges are prompting governments and private developers to explore tiny houses as viable solutions for affordable and efficient urban living. Latin America and the Middle East & Africa are also emerging as promising markets, driven by rising awareness and the need for innovative housing solutions in underserved regions.

Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mortgage News Daily is a leading news and analysis provider of U.S. mortgage markets and publish Mortgage News Daily rate index which is published daily.