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 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.

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.

New Home Sales in the United States decreased to 623 Thousand units in May from 722 Thousand units in April of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus 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.

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.

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.

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.

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.

Smart Home Market is expected to record around 23.8% CAGR during 2023-28, says MarkNtel Advisors, says MarkNtel Advisors.

According to Cognitive Market Research, The Global Property Management Service market was estimated at USD 14.5 billion in 2022 and is projected to grow at a compound annual growth rate (CAGR) of 7.8% from 2023 to 2030. Rising Demands for SaaS-based Property Management Software to Expand Market Penetration

Subscription-based SaaS solutions benefit companies of all sizes. Businesses increasingly use SaaS solutions to optimize operations by automating workflows and removing manual input. Businesses can also lower the cost and complexity of on-premises deployment by installing SaaS solutions. SaaS software assists large multifamily property management organizations integrate several technologies across their portfolio. In addition, the SaaS model is crucial for multi-vendor device compatibility with legacy systems.

For instance, Planon collaborated with AddOnn in March 2021 to combine AddOnn's SaaS solution with Planon's software platform for building and service digitalization to provide end-to-end solutions to end-users worldwide.

(Source:planonsoftware.com/uk/news/planon-and-addonn-launch-partnership-with-introduction-of-mobile-cleaning-solution/)

Employees in real estate organizations rely on up-to-date information to make vital decisions. SaaS systems allow users to access information from any location and device with internet connectivity. A SaaS platform can help property managers link their property solutions with sophisticated payment services for quick and easy transactions.

Evolving Trends of Workforce Mobility to Strengthen Market Share

Many employees nowadays prefer to work from home rather than in offices, corporate headquarters, or a global company branch. This contributes to the need for flexible access to office resources and data. Besides, organizations are using virtual workplaces to reduce their physical infrastructure requirements to a bare minimum, allowing them to be more flexible and use their office space better. Many businesses seek mobility, workplace, and other integrated facility management solutions. This enables property managers to retain productivity while working with a huge crew. These solutions can be used by associated real estate agents & property managers to maintain track of all the properties they manage and the routine maintenance that needs to be performed on them. As a result, the rising trend of workplace mobility is propelling the property management service industry forward.

For instance, Entrata Inc. reported the integration of Alexa with residential buildings in April 2021. This integration would enable property managers to monitor or set up Alexa-enabled devices in each unit, allowing them to create voice-controlled automated homes.

(Source:www.prnewswire.com/news-releases/entrata-enables-alexa-experience-at-scale-with-amazons-alexa-for-residential-301263114.html)

Market Dynamics of Property Management Service

Integration Complexity and Data Security Concerns to Limit Market Growth

One significant restraint property management software services face is the complexity of integrating with existing systems and databases. Many property management companies already have established tools for accounting, tenant communication, maintenance tracking, and more. Implementing new software solutions can lead to compatibility challenges and difficulties in transferring data seamlessly. Furthermore, as property management software handles sensitive information such as tenant details, financial records, and property documents, ensuring robust data security becomes critical. Any breaches or unauthorized access can lead to legal consequences, financial losses, and company reputation damage.

Impact of COVID-19 on the Property Management Service Market

The COVID-19 pandemic significantly impacted the property management service market, introducing shifts in tenant behavior, remote work trends, and economic uncertainties that prompted property managers to adapt their strategies. Lockdowns and travel restrictions decreased demand for short-term rentals, while remote work trends increased the significance of property amenities and flexible leasing options. Property managers incorporated virtual tours, contactless services, and enhanced sanitation measures to address safety concerns. Moreover, the pandemic accelerated the adoption of proptech solutions for remote property monitoring and digital communication, reshap...

According to Cognitive Market Research, the Global Real Estate Portfolio Management Software Solution market size will be USD 1684.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 5.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 673.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 505.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 387.37 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 84.21 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 33.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.
The ERP is the fastest growing segment of the Real Estate Portfolio Management Software Solution industry

Market Dynamics of Real Estate Portfolio Management Software Solution Market

Key Drivers for Real Estate Portfolio Management Software Solution Market

Growing Need for Data-Driven Decision making to Boost Market Growth 

The growing need for data-driven decision-making is significantly boosting the Real Estate Portfolio Management Software (REMS) market. With the increasing complexity of the real estate industry, stakeholders are adopting advanced software solutions that utilize artificial intelligence (AI), machine learning (ML), and data analytics to optimize investment strategies, enhance asset performance, and maintain regulatory compliance. These technologies facilitate real-time data analysis, predictive insights, and streamlined portfolio management, which lead to better operational efficiency and more informed decision-making. The integration of such tools ensures that real estate professionals can respond to market trends swiftly and make more accurate, strategic decisions. For instance, in August 2024, Home365 launched the ‘Profit Protect Plan,’ a service designed to enhance predictability in real estate investments by covering costs related to vacancy, delinquency, and property operations. (Source:https://markets.businessinsider.com/news/stocks/home365-launches-profit-protect-plan-to-enhance-real-estate-investment-predictability-1033710505)

Technological Advancements to Drive Market Growth 

The integration of artificial intelligence (AI), machine learning (ML), and cloud-based solutions has transformed how real estate professionals manage portfolios. AI and ML enable predictive analytics, enhancing decision-making by forecasting market trends and property performance. Cloud platforms offer scalability and remote access, facilitating real-time collaboration and data sharing. These innovations streamline operations, improve efficiency, and provide deeper insights, making REMS an indispensable tool for modern real estate management. For instance, in November 2024, JLL and Slate Asset Management announced a joint venture to commercialize Slate's technology platform, resulting in JLL Asset Beacon—a SaaS platform that integrates data across asset management functions to provide real-time, end-to-end performance insights for real estate professionals. (Source:https://www.jll.com/en-us/newsroom/jll-and-slate-asset-management-announce-technology-joint-venture-to-tackle-data-challenges-for-real-estate-investors?)

Key Restraint for the Real Estate Portfolio Management Software Solution Market

High Initial Cost to Hamper Market Growth

The substantial initial investment required for implementing Real Estate Portfolio Management Software (REMS) poses a significant barrier to market growth. Expenses encompass software licensing, hardware infrastructure, data migration, integration with existing systems, and training, which can be prohibitive for small to medium-sized enterprises with limited budgets. This financial burden may deter potential adopters, hindering the widespread implementation of REMS solutions. Additionally, the co...

The U.S. ranks third in global exports on the manufactured home market with a 16% share (based on USD), following China (19%) and Germany (21%).

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.

Tri Pointe Homes: Navigating the Housing Market (TPH)

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 real estate loan market is forecasted to expand from USD 11.4 trillion in 2024 to USD 35.4 trillion by 2034, growing at a CAGR of 12%. In 2024, North America dominated with a 33.2% market share, generating USD 3.78 trillion in revenue. The U.S. segment accounted for USD 3.5 trillion, growing at a CAGR of 10.6%. Growth is driven by rising property demand, urbanization, favorable interest rates, and expanding mortgage financing options, supporting both residential and commercial real estate sectors worldwide.

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.

Landsea Homes' (LSEA) Future: Analysts Project Growth Amid Housing Market Shifts

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

Delve into the US prefab homes market for 2025, showcasing robust growth in consumption and production amid shifting import and export trends.

The global home scale market is anticipated to reach a valuation of USD 12.35 billion by 2023, expanding at a 6.78% CAGR over the forecast period (2023-2033). Rising demand for energy efficiency and environmental sustainability are major drivers fueling the market growth. Homes scale systems, such as photovoltaic panels and battery storage solutions allow for the generation and storage of renewable energy, reducing reliance on fossil fuels and associated carbon emissions. Key trends influencing the home scale market include technological advancements, increasing government incentives, and a growing emphasis on home automation. Innovations in energy management systems and battery storage technologies are enhancing the efficiency and cost-effectiveness of home scale systems. Moreover, favorable policies and subsidies from governments worldwide encourage the adoption of renewable energy solutions, reducing the upfront investment costs for homeowners. Smart home integration is another notable trend, as consumers seek to automate and control their home appliances and devices remotely, further increasing the demand for home scale systems. Recent developments include: Recent news developments in the Home Scale Market have highlighted significant dynamic shifts, notably with companies like Amazon and Walmart enhancing their e-commerce capabilities to capture a growing online consumer base. Costco continues to expand its warehouse footprint and membership offerings, while Home Depot focuses on improving its supply chain efficiency to meet rising demand for home improvement products. Wayfair has recently reported growth in its furniture sales, taking advantage of the trend towards online shopping for home essentials., Furthermore, Target has been investing in exclusive brands to boost its home and lifestyle segment, aiming to stand out in a competitive market. In terms of mergers and acquisitions, HD Supply has been under discussions for strategic partnerships to leverage its distribution channels, while Lowe's has been exploring opportunities to integrate advanced technology in its operations to better serve customers. IKEA has also been expanding its global presence, aligning with its sustainability goals, which are becoming increasingly popular among consumers. Alibaba continues to influence the home market landscape in Asia with its online retail offerings, ensuring fierce competition across the board. These strategies illustrate the ongoing evolution of the global home scale sector driven by consumer preferences and technological advancements.. Key drivers for this market are: 1. Smart scale integration, 2. Health and fitness tracking; 3. Eco-friendly materials adoption; 4. E-commerce growth expansion; 5. Personalized nutrition solutions. Potential restraints include: 1. growing health consciousness, 2. technological advancements; 3. increasing e-commerce adoption; 4. eco-friendly products demand; 5. competitive pricing strategies.

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.

Is the Home Construction Index Signaling a Housing Market Shift?

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

Overview

New York, NY – June 20, 2025 – Global Home Health Hub Market size is expected to be worth around US$ 16.6 Billion by 2034 from US$ 1.1 Billion in 2024, growing at a CAGR of 31.2% during the forecast period 2025 to 2034. In 2024, North America led the market, achieving over 39.5% share with a revenue of US$ 0.4 Billion.

In 2024, the global home health hub market is witnessing strong growth, driven by the increasing need for remote patient monitoring, chronic disease management, and elderly care support. Home health hubs are integrated digital platforms that connect patients with care providers by collecting, transmitting, and analyzing health data from multiple medical devices and wearables. These systems support early intervention, reduce hospital readmissions, and improve care coordination.

According to the U.S. Centers for Medicare & Medicaid Services (CMS), over 60% of Medicare beneficiaries are managing two or more chronic conditions, highlighting the growing need for technology driven home care models. Home health hubs offer real-time access to patient vitals including blood pressure, glucose levels, oxygen saturation, and heart rate allowing clinicians to make timely decisions and personalize treatment plans.

North America leads the global market due to a well-established digital health infrastructure, growing adoption of telehealth, and favorable reimbursement policies. Meanwhile, Asia-Pacific is emerging as a high growth region, supported by increasing government initiatives for home-based care and a growing geriatric population. With healthcare systems under pressure to reduce costs while maintaining quality, the adoption of home health hubs is expected to rise steadily. These platforms are proving essential in supporting value-based care, promoting patient engagement, and extending clinical oversight beyond hospital walls.