The global rental housing market is experiencing robust growth, driven by several key factors. Urbanization and population growth are fueling increased demand for rental properties, particularly in densely populated areas. Changing lifestyles, with more people opting for flexible living arrangements and avoiding the commitment of homeownership, are further bolstering the market. Technological advancements, including online platforms like Zillow, Airbnb, and Ziru, are streamlining the rental process, improving efficiency, and enhancing transparency for both landlords and tenants. Furthermore, the rise of co-living spaces and flexible lease options caters to evolving renter preferences. While economic fluctuations and interest rate hikes can present challenges, the underlying demand remains strong, indicating sustained growth for the foreseeable future. We estimate the market size in 2025 to be $2 trillion based on publicly available data for comparable real estate sectors and considering the global spread of rental housing. This robust growth trajectory is projected to continue, with a Compound Annual Growth Rate (CAGR) of approximately 5% through 2033. However, challenges exist within the rental housing market. Regulatory changes related to rent control and tenant protection can impact profitability for landlords. Maintaining property quality and addressing concerns regarding affordability, especially in rapidly growing urban centers, pose ongoing difficulties. Competition among rental platforms and property management companies is fierce, necessitating ongoing innovation and adaptation to retain market share. Despite these headwinds, the long-term outlook remains positive. The increasing preference for rental accommodation, combined with ongoing technological advancements, suggests a sustained and expansive market with significant opportunities for both established players and new entrants. The market segmentation reflects varying needs, from luxury apartments to budget-friendly options, providing ample opportunities across different income levels and lifestyle preferences.

The global housing rental service market is experiencing robust growth, driven by factors such as increasing urbanization, a rise in the millennial and Gen Z populations preferring flexible living arrangements, and the expanding popularity of short-term rentals facilitated by platforms like Airbnb and VRBO. The market is segmented by rental type (short-term and long-term) and application (personal and commercial), reflecting diverse consumer needs and business models. While long-term leases remain a significant segment, the short-term rental market is exhibiting particularly rapid growth, fueled by the travel and tourism industry and the increasing demand for flexible accommodations. The market's expansion is further propelled by technological advancements, including property management software and online booking platforms that streamline the rental process for both landlords and tenants. Competition is intense, with established players like Invitation Homes and Tricon Residential alongside emerging tech-driven companies like Blueground and HousingAnywhere vying for market share. Regional variations exist, with North America and Europe currently dominating the market, but significant growth potential is observed in Asia-Pacific and other developing regions as incomes rise and urbanization accelerates. Challenges include regulatory hurdles in various jurisdictions concerning short-term rentals, fluctuating interest rates impacting investment in rental properties, and the ongoing need to address concerns about affordability and housing shortages in many urban areas. Continued expansion in the housing rental service market is projected through 2033, although the rate of growth may moderate slightly compared to recent years. Factors such as economic downturns, changes in government regulations, and shifts in demographic trends could influence market trajectory. Companies are likely to focus on innovation to maintain a competitive edge, including improving their technology platforms, expanding service offerings, and diversifying their property portfolios. The industry will likely see increased consolidation as larger companies acquire smaller players, furthering the drive towards efficiency and economies of scale. Sustainable practices are also expected to gain prominence as consumers become increasingly aware of environmental and social responsibilities, influencing the demand for eco-friendly rental properties and responsible property management practices.

Global Real Estate Rental market size 2025 was XX Million. Real Estate Rental Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

What is Rental Data?

Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.

Additional Rental Data Details

The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.

Rental Data Includes:

• Property Types
• Single-Family Rentals
• Small Multi-family Units
• Premium Apartments
• 16,000+ ZIP Codes
• 800+ MSAs
• Pricing Trends
• Lease Terms Amenities

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.

The online apartment rental services industry is experiencing significant growth because of the booming apartment supply, with over half a million new rental units completed in 2024. Major cities like New York, Dallas and Austin are leading the way in this surge, causing an influx of new, predominantly high-end rental units. As a result, there is increased competition among property managers and a need for more effective digital marketing strategies to reach potential renters. This accelerated growth is predominantly benefiting online rental services, which have seen a climb in listings that, in turn, drive more traffic as renters seek opportunities and deals in markets with slowing rent growth. Overall, industry-wide revenue has climbed at a CAGR of 7.7% to $928.1 million through the end of 2025, including an 8.6% gain in 2025 alone, when profit is expected to reach 23.8%. Leading organizations, such as Zillow and Redfin, are taking advantage of this trend by forming partnerships to expand their listing networks and reach. The consolidation of these digital platforms means renters can access a broader range of apartment listings, streamlining their search process and increasing market transparency. Meanwhile, property marketers are presented with simplified operations and increased marketing leads because of enhanced exposure across major rental platforms. However, smaller markets and affordable housing are not receiving the same benefits, signaling a need for more targeted digital marketing and search tools. The online apartment rental services industry is set to face a shift from oversupply to scarcity by the end of 2030. As apartment construction slows because of high borrowing costs, tighter lending standards and rising project costs, there will be a greater demand for platforms that can help landlords maximize occupancy and optimize rents in a tightening market. To meet this demand, innovations in technology, such as predictive analytics, dynamic pricing and personalized renter experiences, will become a necessity. Amid these changes, the industry is also likely to see a gain in demand for single-family rentals, creating new opportunities for digital platforms to expand their offerings and capture a larger market share. Industry revenue will strengthen at a CAGR of 9.0% to $1.4 billion in 2030.

Real Estate Data Integration Analytics Platform integrating MRI, Yardi, VTS, RealPage, and Dynamics property management systems with public records, rental market data, and demographic insights for portfolio optimization.

The United States real estate market size was valued at USD 1.71 Trillion in 2024. Looking forward, IMARC Group estimates the market to reach USD 2.32 Trillion by 2033, exhibiting a CAGR of 3.10% from 2025-2033. The market is primarily driven by increasingly adaptive reuse and office conversions, rapidly expanding single-family build-to-rent (BTR) communities, and the growing integration of artificial intelligence (AI), reshaping urban spaces, increasing rental housing options, and enhancing efficiency through AI-driven predictive analytics and automation.

IMARC Group provides an analysis of the key trends in each segment of the United States real estate market, along with forecasts at the country and regional levels from 2025-2033. The market has been categorized based on property, business, and mode.

AI-Powered Rental Price Index Market Outlook

According to our latest research, the AI-Powered Rental Price Index market size reached USD 1.7 billion in 2024, reflecting the rapid adoption of artificial intelligence technologies in the real estate sector. The market is projected to grow at a robust CAGR of 18.9% from 2025 to 2033, with the forecasted market size anticipated to reach USD 8.5 billion by 2033. This impressive growth trajectory is driven by the increasing demand for data-driven rental pricing solutions, the proliferation of smart property management systems, and the need for real-time market intelligence among property stakeholders.

One of the key growth factors fueling the expansion of the AI-Powered Rental Price Index market is the escalating complexity and dynamism of global rental markets. Traditional pricing models often fail to capture the nuanced shifts in demand and supply, especially in urban and high-growth regions. AI-powered solutions leverage vast datasets, including historical rental data, economic indicators, neighborhood trends, and even social sentiment, to provide highly accurate and adaptive rental price indices. This enables property managers, landlords, and real estate agencies to optimize pricing strategies, reduce vacancy rates, and maximize returns. The ability to harness predictive analytics and machine learning for rental price forecasting is increasingly seen as a competitive differentiator in the industry.

Another significant driver is the digital transformation sweeping through the real estate sector. The integration of AI-powered rental price indices with property management platforms, listing services, and financial analytics tools is streamlining operations and enhancing decision-making. Cloud-based deployment models are making these advanced analytics accessible to a broader range of users, from large real estate agencies to individual landlords. The automation of rental price assessments not only reduces human error but also accelerates the leasing process, providing a seamless experience for both property owners and tenants. Furthermore, the growing emphasis on transparency and fairness in rental pricing is prompting regulatory bodies and public sector organizations to adopt AI-driven solutions for market monitoring and policy formulation.

The surge in urbanization and the proliferation of rental properties, especially in emerging economies, are also contributing to market growth. As cities expand and rental housing becomes a primary option for a growing segment of the population, the need for accurate, real-time rental price indices becomes critical. AI-powered platforms are uniquely positioned to capture hyper-local trends, adjust for seasonality, and factor in external events such as economic shocks or policy changes. This level of granularity and agility is essential for navigating the increasingly competitive and fragmented rental market landscape. Additionally, the COVID-19 pandemic has accelerated the adoption of digital solutions in real estate, further boosting the demand for AI-powered rental price indices.

Regionally, North America currently dominates the AI-Powered Rental Price Index market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The United States, in particular, has witnessed widespread adoption of AI-driven property management tools, supported by a mature real estate ecosystem and high digital literacy. Europe is rapidly catching up, driven by regulatory initiatives and a strong focus on data-driven urban planning. The Asia Pacific region is expected to exhibit the highest CAGR over the forecast period, fueled by rapid urbanization, rising investments in proptech startups, and the digitalization of real estate services in countries like China, India, and Australia. Latin America and the Middle East & Africa are also emerging as promising markets, albeit from a smaller base, as local governments and private players recognize the value of AI in addressing housing market inefficiencies.

Component Analysis

The AI-Powered Rental Price Index market is segmented by component into Software and Services, each playing a pivotal role in the ecosystem. The software segment comprises AI algorithms, analytics engines, and user interfaces that enable stakeholders to access, interpret, and act on rental price data. These platforms are increasingly incorporating advanced features such as n

The United States real estate brokerage market, valued at $197.33 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033. This growth is driven by several key factors. A robust housing market, fueled by increasing population and urbanization, continues to generate significant demand for brokerage services. Technological advancements, such as improved online platforms and data analytics, are streamlining operations and enhancing efficiency for both brokers and consumers. The rise of iBuyers and proptech companies, while posing some competition, also contribute to market expansion by creating innovative solutions and attracting a broader customer base. Furthermore, a shift toward specialized services, catering to niche markets like luxury properties or commercial real estate, is expected to contribute to market diversification and growth. The market is segmented into residential and non-residential sectors, with sales and rental services further dividing each segment. Major players such as Keller Williams, RE/MAX, Coldwell Banker, and Berkshire Hathaway Home Services maintain significant market shares, competing through brand recognition, extensive networks, and technological capabilities. However, certain restraints are present. Interest rate fluctuations and economic uncertainty can impact buyer confidence and consequently, transaction volume. Increasing regulatory scrutiny and compliance costs also add operational challenges for brokerage firms. Competition from independent agents and disruptive technologies demands continuous adaptation and innovation to maintain market competitiveness. The residential segment is expected to remain the largest, driven by consistent demand, while the non-residential sector may show slightly slower growth given fluctuations in commercial investment and development cycles. The sales segment will likely maintain its predominance, although the rental market is anticipated to see growth, reflecting evolving consumer preferences and rental market trends. The ongoing evolution of the market will likely see greater consolidation among larger firms and an increased focus on technological solutions, enhancing transparency, customer experience, and overall market efficiency. This comprehensive report provides an in-depth analysis of the United States real estate brokerage market, covering the period from 2019 to 2033. It leverages extensive market research and data analysis to offer valuable insights into market trends, growth drivers, challenges, and key players. The report is essential for investors, industry professionals, and anyone seeking a comprehensive understanding of this dynamic sector. The base year for this analysis is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Search terms optimized for maximum visibility include: real estate brokerage, US real estate market, real estate trends, residential real estate, commercial real estate, real estate agents, real estate investment, real estate technology, M&A real estate, and real estate market analysis. Recent developments include: May 2024: Compass Inc., the leading residential real estate brokerage by sales volume in the United States, acquired Parks Real Estate, Tennessee's top residential real estate firm that boasts over 1,500 agents. Known for its strategic acquisitions and organic growth, Compass's collaboration with Parks Real Estate not only enriches its agent pool but also grants these agents access to Compass's cutting-edge technology and a vast national referral network., April 2024: Compass has finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Notable trends are: Industrial Sector Leads Real Estate Absorption, Retail Tightens Vacancy Rates.

The house price to rent ratio index in the U.S. declined in the second half of 2022 and remained stable until the end of 2024, indicating that house price growth slowed down compared to rental growth. At its peak, in the second quarter of 2022, the index stood at *****. House prices increased dramatically since the coronavirus pandemic. Meanwhile, rents have grown notably, but at a slower rate. What does the house price to rent ratio index measure? The house-price-to-rent-ratio measures the evolution of house prices compared to rents. It is calculated by dividing the median house price by the median annual rent. In this statistic, the values have been normalized with 100 equaling the 2015 ratio. Consequentially, a value under 100 means that rental rates have risen more than house prices. Compared to the OECD countries average, the gap between house prices and rents in the United States was wider. The house price to rent ratio in different countries The house price to rent ratio in the United Kingdom continued to increase in the second half of 2022, but growth softened, as the housing market cooled. On the other hand, the index in Germany fell drastically between the second quarter of 2022 and the second quarter of 2023. A similar trend was observed in France.

Vacation Rental Market is Segmented by by Property Type (Homes, Apartments, Resort / Condominium, and More), Booking Mode (Online Platforms, Direct-To-Owner Websites, and More), by Rental Duration (Short-Term (<7 Nights), and More), Traveller Type, Families, Couples, and More), Price Tier (Budget, Mid-Scale, and Luxury / Premium), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

The median rent for one- and two-bedroom apartments in Los Angeles, California, amounted to about ***** U.S. dollars in January 2025. Rents soared during the COVID-19 pandemic, with rental growth hitting **** percent in March 2022. This trend has since reversed, with growth turning negative in May 2023. Among the different states in the U.S., California ranks as the second most expensive rental market after Hawaii.

In 2020, San Jose-Sunnyvale-Santa Clara in California was the most expensive metropolitan area for both renting and owning a home in the United States. The median monthly housing costs for owners in 2020 were ***** U.S. dollars, whereas for renters they were ***** U.S. dollars. In all thirty metropolitan areas, renting was more affordable than buying. As of *************, the average rent for a three bedroom apartment was nearly ***** U.S. dollars.

According to a 2024 survey, multifamily buildings recorded higher median application fees than single-family homes. For multifamily buildings, the median fee was ** U.S. dollars. In contrast, single-family detached houses had a median application fee of ** U.S. dollars.

The Latin American residential real estate market, valued at $477.77 million in 2025, is projected to experience robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and government initiatives promoting affordable housing. The market is segmented by property type (apartments & condominiums, landed houses & villas) and geography (Mexico, Brazil, Colombia, and Rest of Latin America). Brazil and Mexico, with their large populations and developing economies, are expected to dominate the market, contributing significantly to the Compound Annual Growth Rate (CAGR) of 8.32% projected from 2025 to 2033. Strong demand from millennials and growing tourism in key areas are also contributing factors. However, challenges remain, including economic volatility in some regions, fluctuating interest rates impacting mortgage affordability, and infrastructure limitations in certain areas. The competitive landscape includes both large national developers like Cyrela, MRV Engenharia, and Grupo Sadasi, along with international players like JLL and CBRE, creating a dynamic and evolving market. Significant growth opportunities exist within the affordable housing segment, catering to the expanding middle class. Further market expansion is anticipated through the development of sustainable and smart homes, reflecting growing environmental awareness and technological advancements. While regulatory hurdles and bureaucratic processes can present challenges, the long-term outlook for the Latin American residential real estate market remains positive, driven by the region's demographic trends and continued economic development. Strategic investments in infrastructure development and supportive government policies will be crucial in unlocking the market's full potential. Detailed analysis of specific countries within the region will reveal nuances in market performance, highlighting areas of exceptional opportunity or risk. This report provides a detailed analysis of the dynamic Residential Real Estate Market in Latin America, covering the period 2019-2033. With a base year of 2025 and a forecast period spanning 2025-2033, this in-depth study leverages historical data (2019-2024) to offer valuable insights into market trends, growth drivers, and challenges. Keywords: Latin America real estate market, residential real estate Latin America, Latin American housing market, Brazilian real estate, Mexican real estate, Colombian real estate, apartment market Latin America, condo market Latin America, real estate investment Latin America. Recent developments include: November 2023: CBRE, a prominent global consultancy and real estate services firm, unveiled its latest initiative, the Latam-Iberia platform. The platform's primary goal is to reinvigorate the real estate markets in Europe and Latin America while fostering investment ties between the two regions. By enhancing business collaborations and amplifying the visibility of real estate solutions, CBRE aims to catalyze growth in the sector., May 2023: CJ do Brasil, a subsidiary of multinational firm CJ Bio, completed its USD 57 million plant expansion in Piracicaba, 160 km from Brazil's capital. CJ Bio is renowned for its expertise in amino acid production. The expansion is projected to create 650 new job opportunities, and the investment also encompasses the establishment of residential, research, and development centers.. Key drivers for this market are: Increase in Population is Boosting the Residential Real Estate Market, Rapid Growth in Urbanization. Potential restraints include: Accelerated Increase in Construction Costs. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

DisclaimerBefore using this layer, please review the 2018 Rochester Citywide Housing Market Study for the full background and context that is required for interpreting and portraying this data. Please click here to access the study. Please also note that the housing market typologies were based on analysis of property data from 2008 to 2018, and is a snapshot of market conditions within that time frame. For an accurate depiction of current housing market typologies, this analysis would need to be redone with the latest available data.About the DataThis is a polygon feature layer containing the boundaries of all census blockgroups in the city of Rochester. Beyond the unique identifier fields including GEOID, the only other field is the housing market typology for that blockgroup.Information from the 2018 Housing Market Study- Housing Market TypologiesThe City of Rochester commissioned a Citywide Housing Market Study in 2018 as a technical study to inform development of the City's new Comprehensive Plan, Rochester 2034, and retained czb, LLC – a firm with national expertise based in Alexandria, VA – to perform the analysis.Any understanding of Rochester’s housing market – and any attempt to develop strategies to influence the market in ways likely to achieve community goals – must begin with recognition that market conditions in the city are highly uneven. On some blocks, competition for real estate is strong and expressed by pricing and investment levels that are above city averages. On other blocks, private demand is much lower and expressed by above average levels of disinvestment and physical distress. Still other blocks are in the middle – both in terms of condition of housing and prevailing prices. These block-by-block differences are obvious to most residents and shape their options, preferences, and actions as property owners and renters. Importantly, these differences shape the opportunities and challenges that exist in each neighborhood, the types of policy and investment tools to utilize in response to specific needs, and the level and range of available resources, both public and private, to meet those needs. The City of Rochester has long recognized that a one-size-fits-all approach to housing and neighborhood strategy is inadequate in such a diverse market environment and that is no less true today. To concisely describe distinct market conditions and trends across the city in this study, a Housing Market Typology was developed using a wide range of indicators to gauge market health and investment behaviors. This section of the Citywide Housing Market Study introduces the typology and its components. In later sections, the typology is used as a tool for describing and understanding demographic and economic patterns within the city, the implications of existing market patterns on strategy development, and how existing or potential policy and investment tools relate to market conditions.Overview of Housing Market Typology PurposeThe Housing Market Typology in this study is a tool for understanding recent market conditions and variations within Rochester and informing housing and neighborhood strategy development. As with any typology, it is meant to simplify complex information into a limited number of meaningful categories to guide action. Local context and knowledge remain critical to understanding market conditions and should always be used alongside the typology to maximize its usefulness.Geographic Unit of Analysis The Block Group – a geographic unit determined by the U.S. Census Bureau – is the unit of analysis for this typology, which utilizes parcel-level data. There are over 200 Block Groups in Rochester, most of which cover a small cluster of city blocks and are home to between 600 and 3,000 residents. For this tool, the Block Group provides geographies large enough to have sufficient data to analyze and small enough to reveal market variations within small areas.Four Components for CalculationAnalysis of multiple datasets led to the identification of four typology components that were most helpful in drawing out market variations within the city:• Terms of Sale• Market Strength• Bank Foreclosures• Property DistressThose components are described one-by-one on in the full study document (LINK), with detailed methodological descriptions provided in the Appendix.A Spectrum of Demand The four components were folded together to create the Housing Market Typology. The seven categories of the typology describe a spectrum of housing demand – with lower scores indicating higher levels of demand, and higher scores indicating weaker levels of demand. Typology 1 are areas with the highest demand and strongest market, while typology 3 are the weakest markets. For more information please visit: https://www.cityofrochester.gov/HousingMarketStudy2018/Dictionary: STATEFP10: The two-digit Federal Information Processing Standards (FIPS) code assigned to each US state in the 2010 census. New York State is 36. COUNTYFP10: The three-digit Federal Information Processing Standards (FIPS) code assigned to each US county in the 2010 census. Monroe County is 055. TRACTCE10: The six-digit number assigned to each census tract in a US county in the 2010 census. BLKGRPCE10: The single-digit number assigned to each block group within a census tract. The number does not indicate ranking or quality, simply the label used to organize the data. GEOID10: A unique geographic identifier based on 2010 Census geography, typically as a concatenation of State FIPS code, County FIPS code, Census tract code, and Block group number. NAMELSAD10: Stands for Name, Legal/Statistical Area Description 2010. A human-readable field for BLKGRPCE10 (Block Groups). MTFCC10: Stands for MAF/TIGER Feature Class Code 2010. For this dataset, G5030 represents the Census Block Group. BLKGRP: The GEOID that identifies a specific block group in each census tract. TYPOLOGYFi: The point system for Block Groups. Lower scores indicate higher levels of demand – including housing values and value appreciation that are above the Rochester average and vulnerabilities to distress that are below average. Higher scores indicate lower levels of demand – including housing values and value appreciation that are below the Rochester average and above presence of distressed or vulnerable properties. Points range from 1.0 to 3.0. For more information on how the points are calculated, view page 16 on the Rochester Citywide Housing Study 2018. Shape_Leng: The built-in geometry field that holds the length of the shape. Shape_Area: The built-in geometry field that holds the area of the shape. Shape_Length: The built-in geometry field that holds the length of the shape. Source: This data comes from the City of Rochester Department of Neighborhood and Business Development.

The size of the North America Industrial Real Estate Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.50">> 4.50% during the forecast period. Industrial real estate refers to properties specifically designed for manufacturing, logistics, warehousing, and distribution activities. This sector encompasses a diverse range of property types, including factories, distribution centers, warehouses, and research and development facilities. Over the past few years, the industrial real estate market has seen significant growth, largely driven by the rise of e-commerce, globalization, and advancements in technology. The surge in online shopping has increased demand for efficient logistics and distribution centers, prompting companies to seek out strategically located industrial spaces to enhance their supply chain capabilities. These properties are typically situated near major transportation hubs, such as highways, railroads, and ports, facilitating the rapid movement of goods. Furthermore, the growing trend of just-in-time inventory management has led to an emphasis on proximity to urban centers, allowing businesses to respond quickly to consumer needs. Key drivers for this market are: 4., Increasing demand for green construction to reduce carbon footprint4.; Introduction of technology for manufactruing the of building construction material. Potential restraints include: 4., High cost of purchasing the equipment for development and manufacturing of various construction material. Notable trends are: Increasing Rental Prices of Office Spaces.

The dataset shows the real estate price for the second half of 2023, recorded through the Observatory of the Real Estate Market (OMI) managed by the Revenue Agency, which specifically processes and analyses all the technical and economic data and information concerning the value of a property and the rental market recorded in the Municipality of Milan.

The data shown in the Dataset are divided into:

The conservative state indicated by capital letters refers to the most frequent one of ZONE The Market Value is expressed in Euro/sqm referring to the Net Area (N) or Gross Area (L) The presence of the asterisk (*) next to the typology indicates that the relative Market or Rental Values have been corrected. For the Box, Parking spaces and Garage types, the different appreciation of the market according to the conservation status is not significant For the Shops type, the O/ N /S judgment is to be understood as referring to the commercial position and not to the conservation status of the real estate unit The IMO is to be considered as a full-fledged tool, through which the Revenue Agency ensures the transparency of the real estate market. The information provided shall be the sole property of the Agency. The customer is not allowed to sell, rent, rent, transfer, transfer the contents of the Database or assume some other obligations to third parties.

The information contained in the database can be used by the customer, also for the purpose of their processing provided that, in the case of publication, the relevant source is cited. For any further contractual conditions and use it is possible to connect to the link https://www.agenziaentrate.gov.it/portale/web/guest/fiche/fabbricatiterreni/omi/banche-data/quotas-real estate/conditions-contractual-qi.