80 datasets found
  1. Apartment rental offers in Germany

    • kaggle.com
    Updated Apr 20, 2020
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    CorrieBar (2020). Apartment rental offers in Germany [Dataset]. https://www.kaggle.com/datasets/corrieaar/apartment-rental-offers-in-germany/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2020
    Dataset provided by
    Kaggle
    Authors
    CorrieBar
    Area covered
    Germany
    Description

    Where is the data from?

    The data was scraped from Immoscout24, the biggest real estate platform in Germany. Immoscout24 has listings for both rental properties and homes for sale, however, the data only contains offers for rental properties. The scraping process is described in this blog post and the corresponding code for scraping and minimal processing afterwards can be found in this Github repo. At a given time, all available offers were scraped from the site and saved. This process was repeated three times, so the data set contains offers from the dates 2018-09-22, 2019-05-10 and 2019-10-08.

    Content

    The data set contains most of the important properties, such as living area size, the rent, both base rent as well as total rent (if applicable), the location (street and house number, if available, ZIP code and state), type of energy etc. It also has two variables containing longer free text descriptions: description with a text describing the offer and facilities describing all available facilities, newest renovation etc. The date column was added to give the time of scraping.

    Inspiration

    Did rents increase over time? Which areas are the most expensive? Which areas saw the largest increase, which areas became cheaper? Are there any duplicates? How many? What could be gained from a text analysis of the free text variables?

    Acknowledgements

    The data belongs to www.immobilienscount24.de and is for research purposes only. The data was created with .

  2. m

    Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost...

    • apiscrapy.mydatastorefront.com
    Updated Nov 19, 2024
    + more versions
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    APISCRAPY (2024). Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample [Dataset]. https://apiscrapy.mydatastorefront.com/products/apiscrapy-amazon-reviews-data-amazon-review-ratings-review-apiscrapy
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Italy, Switzerland, Monaco, Ukraine, Poland, Slovenia, Luxembourg, Ireland, Hungary, Serbia
    Description

    With Zillow Real Estate Data at its core, it excels in real-time Data Extraction, delivering up-to-the-minute and comprehensive Real Estate Market Data. APISCRAPY's Data Extraction services are your key to staying informed in today's fast-paced real estate landscape.

  3. r

    RWI Real Estate Data - Houses for Rent - SUF

    • rwi-essen.de
    Updated Oct 9, 2024
    + more versions
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    RWI - Leibniz Institute for Economic Research (2024). RWI Real Estate Data - Houses for Rent - SUF [Dataset]. http://doi.org/10.7807/immo:red:hm:suf:v11
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    Dataset updated
    Oct 9, 2024
    Dataset provided by
    RWI - Leibniz Institute for Economic Research
    Description

    ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.

  4. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
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    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Australia, Congo (Democratic Republic of the), Iraq, Malaysia, Kazakhstan, Spain, Holy See, South Sudan, Tonga, Kuwait
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  5. Real Estate Market Analysis APAC, North America, Europe, South America,...

    • technavio.com
    pdf
    Updated Feb 22, 2025
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    Technavio (2025). Real Estate Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, India, South Korea, Australia, Canada, UK, Germany, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-estate-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United Kingdom, United States, Germany, Canada
    Description

    Snapshot img

    Real Estate Market Size 2025-2029

    The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.

    The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.
    

    What will be the Size of the Real Estate Market During the Forecast Period?

    Request Free Sample

    The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
    The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.
    

    How is this Real Estate Industry segmented and which is the largest segment?

    The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Residential
      Commercial
      Industrial
    
    
    Business Segment
    
      Rental
      Sales
    
    
    Manufacturing Type
    
      New construction
      Renovation and redevelopment
      Land development
    
    
    Geography
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By Type Insights

    The residential segment is estimated to witness significant growth during the forecast period.
    

    The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.

    Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.

    Get a glance at the market report of share of various segments Request Free Sample

    The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 64% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific region holds the largest share of The market, dr

  6. F

    German Call Center Data for Realestate AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). German Call Center Data for Realestate AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/realestate-call-center-conversation-german-germany
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This German Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for German -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

    Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

    Speech Data

    The dataset features 30 hours of dual-channel call center recordings between native German speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

    Participant Diversity:
    Speakers: 60 native German speakers from our verified contributor community.
    Regions: Representing different provinces across Germany to ensure accent and dialect variation.
    Participant Profile: Balanced gender mix (60% male, 40% female) and age range from 18 to 70.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted agent-customer discussions.
    Call Duration: Average 5–15 minutes per call.
    Audio Format: Stereo WAV, 16-bit, recorded at 8kHz and 16kHz.
    Recording Environment: Captured in noise-free and echo-free conditions.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

    Inbound Calls:
    Property Inquiries
    Rental Availability
    Renovation Consultation
    Property Features & Amenities
    Investment Property Evaluation
    Ownership History & Legal Info, and more
    Outbound Calls:
    New Listing Notifications
    Post-Purchase Follow-ups
    Property Recommendations
    Value Updates
    Customer Satisfaction Surveys, and others

    Such domain-rich variety ensures model generalization across common real estate support conversations.

    Transcription

    All recordings are accompanied by precise, manually verified transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    Time-coded Segments
    Non-speech Tags (e.g., background noise, pauses)
    High transcription accuracy with word error rate below 5% via dual-layer human review.

    These transcriptions streamline ASR and NLP development for German real estate voice applications.

    Metadata

    Detailed metadata accompanies each participant and conversation:

    Participant Metadata: ID, age, gender, location, accent, and dialect.
    Conversation Metadata: Topic, call type, sentiment, sample rate, and technical details.

    This enables smart filtering, dialect-focused model training, and structured dataset exploration.

    Usage and Applications

    This dataset is ideal for voice AI and NLP systems built for the real estate sector:

    <span

  7. Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
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    Technavio, Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (Australia, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/residential-real-estate-market-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Australia, South Korea, Europe, Brazil, Japan, Mexico, United Kingdom, United States, Germany, Canada, Global
    Description

    Snapshot img

    Residential Real Estate Market Size 2025-2029

    The residential real estate market size is forecast to increase by USD 485.2 billion at a CAGR of 4.5% between 2024 and 2029.

    The market is experiencing significant growth, fueled by increasing marketing initiatives that attract potential buyers and tenants. This trend is driven by the rising demand for housing solutions that cater to the evolving needs of consumers, particularly in urban areas. However, the market's growth trajectory is not without challenges. Regulatory uncertainty looms large, with changing policies and regulations posing a significant threat to market stability. Notably, innovative smart home technologies, such as voice-activated assistants and energy-efficient appliances, are gaining traction, offering enhanced convenience and sustainability for homeowners.
    As such, companies seeking to capitalize on the opportunities presented by the growing the market must navigate these challenges with agility and foresight. The residential construction industry's expansion is driven by urbanization and the rising standard of living in emerging economies, including India, China, Thailand, Malaysia, and Indonesia. By staying abreast of regulatory changes and implementing innovative marketing strategies, they can effectively meet the evolving needs of consumers and maintain a competitive edge. These regulatory shifts can impact everything from property prices to financing options, making it crucial for market players to stay informed and adapt quickly.
    

    What will be the Size of the Residential Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic housing market analysis, small flats continue to be a popular choice for both investors and first-time homebuyers, driven by affordability and urban growth. International investment in housing projects, including apartments and condominiums, remains strong, offering attractive investment returns. Real estate syndication and property management software facilitate efficient property ownership and management. Real estate loans, property insurance, and urban planning are essential components of the housing market, ensuring the development of affordable housing and addressing the needs of the middle class and upper middle class. Property disputes, property tax assessments, and real estate litigation are ongoing challenges, requiring careful attention from stakeholders.
    Property search engines streamline the process of finding the perfect property, from studio apartments to luxury homes. Real estate auctions, land banking, and nano apartments are innovative solutions in the market, while property flipping and short sales provide opportunities for savvy investors. Urban growth and community development are key trends, with a focus on sustainable, planned cities and the integration of technology, such as real estate blockchain, into the industry. Developers secure building permits, review inspection reports, and manage escrow accounts during real estate transactions. Key services include contract negotiation, dispute resolution, and tailored investment strategies for portfolio management. Financial aspects cover tax implications, estate planning, retirement planning, taxdeferred exchanges, capital gains, tax deductions, and maintaining positive cash flow for sustained returns.
    

    How is this Residential Real Estate Industry segmented?

    The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Mode Of Booking
    
      Sales
      Rental or lease
    
    
    Type
    
      Apartments and condominiums
      Landed houses and villas
    
    
    Location
    
      Urban
      Suburban
      Rural
    
    
    End-user
    
      Mid-range housing
      Affordable housing
      Luxury housing
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The sales segment is estimated to witness significant growth during the forecast period. The sales segment dominates the global residential real estate market and will continue to dominate during the forecast period. The sales segment includes the sale of any property that is majorly used for residential purposes, such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences. With the growing population and urbanization, the demand for homes is also increasing, which is the major factor driving the growth of the sales segment. Moreover, real estate firms work with developers to sel

  8. ScrapeHero Data Cloud - Free and Easy to use

    • datarade.ai
    .json, .csv
    Updated Feb 8, 2022
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    Scrapehero (2022). ScrapeHero Data Cloud - Free and Easy to use [Dataset]. https://datarade.ai/data-products/scrapehero-data-cloud-free-and-easy-to-use-scrapehero
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Feb 8, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Portugal, Bhutan, Dominica, Niue, Bahamas, Chad, Ghana, Slovakia, Anguilla, Bahrain
    Description

    The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

    We have made it as simple as possible to collect data from websites

    Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

    Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

    Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

    Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

    Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

    Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

    Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

    Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

    Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

    Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

    Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

    Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

    Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

    Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

    LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

    Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

    Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

    Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

    Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

    Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

    Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

    Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

    Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

    Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

  9. House price index in Germany 2016-2024, by quarter

    • statista.com
    Updated Mar 5, 2025
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    Statista (2025). House price index in Germany 2016-2024, by quarter [Dataset]. https://www.statista.com/statistics/329715/house-price-index-in-germany/
    Explore at:
    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The house price index in Germany increased steadily from 2016 to 2022, followed by a decline until the first quarter of 2024. The index amounted to 100 in 2015 and, at its peak in the second quarter of 2022, exceeded 166 index points, meaning that house prices had risen by 66 percent during that period. Among the leading residential real estate markets in Germany, Munich had the highest square meter price for apartments.

  10. d

    Commercial Real Estate Data | 52M+ POI | SafeGraph Property Dataset

    • datarade.ai
    .csv
    Updated Aug 22, 2024
    + more versions
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    SafeGraph (2024). Commercial Real Estate Data | 52M+ POI | SafeGraph Property Dataset [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-52m-poi-safegraph-property-d-safegraph
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    SafeGraph
    Area covered
    Gibraltar, Holy See, Ukraine, Yemen, Saint Martin (French part), El Salvador, Curaçao, Kyrgyzstan, Finland, Latvia
    Description

    SafeGraph Places provides baseline location information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

    SafeGraph Places is a point of interest (POI) data offering with varying coverage and properties depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

    SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

  11. Europe Commercial Real Estate Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Jan 24, 2025
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    Technavio (2025). Europe Commercial Real Estate Market Analysis, Size, and Forecast 2025-2029: Europe (France, Germany, Italy, and UK) [Dataset]. https://www.technavio.com/report/europe-commercial-real-estate-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    Europe
    Description

    Snapshot img

    Europe Commercial Real Estate Market Size 2025-2029

    Europe commercial real estate market size is forecast to increase by USD 91.4 billion at a CAGR of 5.7% between 2024 and 2029. European commercial real estate market is experiencing significant growth, with increasing private investment pouring into the sector. The primary catalyst fueling market growth is the increasing aggregate private investment.This trend is driven by a robust economic environment, favorable demographic shifts, and the ongoing recovery from the COVID-19 pandemic.

    Market Size & Forecast

      Market Opportunities: USD 31.78 billion
      Future Opportunities: USD 91.4 billion 
      CAGR : 5.7%  
    

    However, this growth comes with challenges,rising interest rates pose a threat to affordability and profitability, potentially dampening investor enthusiasm and increasing borrowing costs. As a result, companies must navigate this complex landscape by carefully assessing potential investment opportunities, considering alternative financing options, and adapting to changing market conditions. In order to capitalize on the market's potential and mitigate risks, strategic planning and agility will be essential for success.

    What will be the size of Europe Commercial Real Estate Market during the forecast period?

    Request Free Sample

    European commercial real estate market continues to evolve, presenting dynamic opportunities across various sectors. Property risk assessment and building inspection reports play crucial roles in mitigating potential hazards, ensuring compliance with safety standards. Property tax appeals and portfolio diversification help investors minimize risk and maximize returns. Facility management services, property valuation techniques, and property value metrics enable effective asset management. Data-driven investment strategies, including transaction closing costs, space planning solutions, and development approval processes, facilitate informed decision-making. Capital expenditure planning, portfolio optimization, operating expense control, lease contract review, energy consumption audits, and commercial lease terms are essential for maintaining profitability.
    For instance, the adoption of energy management systems in commercial buildings has led to a 10% average reduction in energy consumption, contributing to cost savings and environmental sustainability. Commercial real estate market is expected to grow by 3% annually, driven by these evolving trends and the ongoing demand for efficient, sustainable, and compliant properties.
    

    How is this Europe Commercial Real Estate Market segmented?

    Europe commercial real estate market market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029,for the following segments.

    Type
    
      Rental
      Lease
      Sales
    
    
    End-user
    
      Offices
      Retail
      Leisure
      Others
    
    
    End-User
    
      Corporate
      Investment
      Government
    
    
    Location
    
      Urban
      Suburban
    
    
    Geography
    
      Europe
    
        France
        Germany
        Italy
        UK
    

    By Type Insights

    The rental segment is estimated to witness significant growth during the forecast period. European commercial real estate market is characterized by dynamic lease renewal negotiations, construction project management, and insurance considerations for green building certification and property refurbishment costs. Zoning regulations compliance and vacancy loss calculations are crucial elements in property acquisition strategy, while property tax optimization and valuation models inform building lifecycle cost analyses. Property management software and tenant occupancy rates are essential for portfolio performance metrics, and market rent surveys guide tenant retention strategies. Portfolio risk management, building code compliance, property data analytics, and rental income projections are integral to asset management strategies. Due diligence processes and capitalization rate analysis are vital during urban planning regulations and space utilization analysis.

    In the rental segment, growth is expected to reach over 5% annually, with office rents in the UK, Benelux markets, and peripheral Europe experiencing the highest quarterly growth of 1.8%. However, investment markets remain cautious due to economic uncertainties and rising inflation and finance rates, despite the leasing market's strength and increasing rents. For instance, rental income in the office sector in Paris grew by 3.5% in 2021, reaching €1,122 per square meter per year.

    Request Free Sample

    Market Dynamics

    Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    European commercial real estate market continues to be a significant global investment destina

  12. F

    Swiss German Scripted Monologue Speech Data in Real Estate

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Swiss German Scripted Monologue Speech Data in Real Estate [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/realestate-scripted-speech-monologues-german-switzerland
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    Switzerland
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Introducing the Swiss German Scripted Monologue Speech Dataset for the Real Estate Domain, a dataset designed to support the development of German speech recognition and conversational AI technologies tailored for the real estate industry.

    Speech Data

    This dataset includes over 6,000 high-quality scripted prompt recordings in Swiss German. The speech content reflects a wide range of real estate interactions to help build intelligent, domain-specific customer support systems and speech-enabled tools.

    Participant Diversity
    Speakers: 60 native German speakers from across Switzerland
    Regional Variation: Balanced representation of regional dialects and speaking styles
    Demographics: Ages 18–70, with a 60:40 male-to-female ratio
    Recording Specifications
    Type: Scripted monologue recordings
    Duration: 5–30 seconds per audio clip
    Audio Format: WAV, mono channel, 16-bit, sampled at 8 kHz and 16 kHz
    Recording Environment: Quiet, echo-free settings with no background noise

    Topic and Scenario Coverage

    This dataset captures a broad spectrum of use cases and conversational themes within the real estate sector, such as:

    Property inquiries and viewing appointments
    Price negotiations and financial discussions
    Contractual and legal clarifications
    Relocation coordination and service support
    Real estate agent interactions
    Regulatory information and buyer/seller advisory
    Domain-specific spoken statements and service dialogues

    Contextual Depth

    Each scripted prompt incorporates key elements to simulate realistic real estate conversations:

    Names: Culturally appropriate Switzerland names in various spoken formats
    Addresses: Detailed location references, including cities, districts, and street names
    Dates & Times: Contextual references to appointments, contract timelines, or move-in dates
    Property Descriptions: Features, measurements, and amenities of real estate listings
    Financial Details: Prices, rental amounts, down payments, deposits, and loan-related figures
    Legal Terms: Frequently used terms in property contracts and documentation

    Transcription

    To ensure precision in model training, each audio recording is paired with a verbatim text transcription:

    Content: Exact scripted text for each corresponding audio prompt
    Format: Plain text (.TXT) files named to match their associated audio recordings
    Quality Control: All transcriptions are manually reviewed by native Swiss German linguists for consistency and correctness

    Metadata

    Each data sample is enriched with detailed metadata to enhance usability:

    Participant Metadata: <span

  13. Commercial Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
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    Technavio, Commercial Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), Middle East and Africa (Egypt, KSA, Oman, and UAE), APAC (China, India, and Japan), South America (Argentina and Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/commercial-real-estate-market-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Saudi Arabia, France, United States, Canada
    Description

    Snapshot img

    Commercial Real Estate Market Size 2025-2029

    The commercial real estate market size is forecast to increase by USD 427.3 billion, at a CAGR of 4.6% between 2024 and 2029. The market is experiencing significant growth, fueled by increasing marketing initiatives and the rising emphasis on remote work and online shopping.

    Major Market Trends & Insights

    APAC dominated the market and accounted for a 42% share in 2023. The market is expected to grow significantly in North America region as well over the forecast period. Based on the End-user, the offices segment led the market and was valued at USD 514.30 billion of the global revenue in 2023. Based on the Channel, the rental segment accounted for the largest market revenue share in 2023.

    Market Size & Forecast

    Market Opportunities: USD 1682.10 Billion Future Opportunities: USD 427.3 Billion CAGR (2024-2029): 4.6% APAC: Largest market in 2023

    The market continues to evolve, with dynamic market activities unfolding across various sectors. Environmental impact assessments are increasingly crucial in property development, shaping the design and construction process. Tenant representation plays a pivotal role in securing suitable spaces for businesses, while 3D modeling facilitates effective space planning and data visualization. Due diligence is an ongoing process, ensuring compliance with legal and regulatory requirements. Property tax assessments, vacancy rates, and property management are essential components of commercial real estate investment strategies. Distressed properties present opportunities for joint ventures and strategic investments, while interior design and machine learning contribute to enhancing tenant experience and optimizing building performance.

    What will be the Size of the Commercial Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    Investment properties, industrial properties, and urban planning strategies benefit from big data analytics and virtual tours, enabling informed decision-making. Commercial mortgages and brokerage services facilitate the buying and selling of properties, while occupancy costs and building codes ensure operational efficiency and safety. The market is a complex, ever-changing landscape, with continuous market dynamics shaping its various sectors. From environmental impact assessments to tenant representation, property management, and investment strategies, the integration of various components is essential for success in this dynamic industry. The retail segment is the second largest segment of the end-user and was valued at USD 257.50 billion in 2023.

    This trend is transforming the commercial real estate landscape, with a shift towards adaptive spaces that cater to the evolving needs of businesses and consumers. The increasing adoption of marketing strategies, such as digital marketing and experiential retail, is driving demand for commercial properties that can effectively showcase brands and create memorable customer experiences. Additionally, the shift towards remote work and online shopping is leading to a surge in demand for data centers, logistics facilities, and flexible office spaces.

    However, this market is not without challenges. The rapid pace of technological advancements and changing consumer preferences pose significant obstacles for commercial real estate developers and investors. The need to adapt to these shifts and stay competitive requires a deep understanding of market trends and the ability to pivot quickly. Furthermore, regulatory changes and economic instability can also impact the market's growth trajectory. To capitalize on the opportunities and navigate the challenges effectively, companies must stay informed about the latest market trends and consumer preferences. Investing in technology and innovation, while also maintaining flexibility and adaptability, will be key to success in the evolving the market.

    How is this Commercial Real Estate Industry segmented?

    The commercial real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    End-user

    Offices Retail Leisure Others

    Channel

    Rental Lease Sales

    Transaction Type

    Commercial Leasing Property Sales Property Management

    Service Type

    Brokerage Services Property Development Valuation Consulting Facilities Management

    Geography

    North America

    US Canada

    Europe

    France Germany Italy UK

    Middle East and Africa

    Egypt KSA Oman UAE

    APAC

    China India Japan

    South America

    Argentina Brazil

    Rest of World (ROW)

    By End-user Insights

    The offices segment is estimated to witness significant growth during the forecast pe

  14. d

    Real Estate Data Sources & Analytics

    • datarade.ai
    .json, .csv, .xls
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    Forloop.ai, Real Estate Data Sources & Analytics [Dataset]. https://datarade.ai/data-products/real-estate-data-sources-analytics-forloop-ai
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset provided by
    Forloop.ai
    Area covered
    El Salvador, Northern Mariana Islands, Martinique, Saint Barthélemy, Austria, Bolivia (Plurinational State of), United States of America, South Sudan, Pitcairn, Bahamas
    Description

    With our analytics tools, businesses can make data-driven decisions to enhance their operations and stay ahead of the competition. Our analytics tools help businesses gain insights into market trends, identify investment opportunities, and optimize their marketing efforts.

    Whether you are a real estate developer, a property investor, or a financial institution, our real estate data sources and analytics can help you gain a competitive edge in the market.

    Sources: Idealista IT KnightFrank rightmove Biura Inmuebles24 Sreality propestar habitaclia.com Iroda Findboliger.dk Immoweb Homegate Zimmo Funda.nl (RENT) fotocasa Funda.nl Comparis.ch Google Maps Flexioffices leboncoin idealista ES Remax.pl Realting Kyero parisattitude Finn.no immoscout24.de Immobilier.ch Jaap.nl Immo-vlan SeLoger Booli.se Immowelt Realla idealista (rent) Hemnet.se Home.ch Boliga.dk Instant Office UK idealista PT pisos.com domy.pl

  15. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  16. Generative AI In Real Estate Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    Updated Jul 22, 2025
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    Technavio (2025). Generative AI In Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/generative-ai-in-real-estate-market-industry-analysis
    Explore at:
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States, Canada
    Description

    Snapshot img

    Generative AI In Real Estate Market Size 2025-2029

    The generative AI in real estate market size is forecast to increase by USD 1.17 billion at a CAGR of 28.4% between 2024 and 2029.

    In the real estate sector, the increasing demand for hyper-personalized experiences and enhanced customer engagement is driving the adoption of generative AI. This technology enables the creation of hyper-realistic virtual staging and generative design, catering to the unique preferences of potential buyers and tenants. However, the integration of AI in real estate comes with challenges. Data privacy, security, and evolving regulatory scrutiny pose significant obstacles, necessitating robust data protection measures and regulatory compliance. The adoption of blockchain technology for secure transactions adds an additional layer of trust and reliability to the market.
    By addressing these issues, real estate businesses can leverage AI to deliver personalized experiences, streamline operations, and gain a competitive edge in the market. Companies seeking to capitalize on the opportunities presented by generative AI in real estate must prioritize these challenges to ensure secure and ethical implementation. Virtual reality technology and mixed reality environments are becoming more prevalent, offering users unique and interactive spaces for socializing, working, and even purchasing virtual property.
    

    What will be the Size of the Generative AI In Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The market for generative AI in real estate continues to evolve, with applications spanning various sectors and driving significant changes. Architectural visualization and property condition assessment are revolutionizing the design and construction process, reducing transaction costs by up to 10%. Deep learning models and image recognition technology are enhancing risk mitigation strategies, enabling accurate property pricing models and investment return analysis. Market trend prediction and demand forecasting models are optimizing sales performance metrics, while compliance automation and legal document review streamline operations. Virtual reality experiences and augmented reality overlays offer new dimensions in customer satisfaction metrics, and sustainability assessment and environmental impact analysis are shaping the industry's future.

    The real estate AI market is expected to grow by over 20% annually, as businesses increasingly adopt these technologies to remain competitive. For instance, a leading property management software company reported a 15% increase in sales after implementing a lease renewal prediction system. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.

    How is this Generative AI In Real Estate Industry segmented?

    The generative AI in real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Component
    
      Software tools
      Platforms
      Services
    
    
    Deployment
    
      Cloud
      On premises
    
    
    Application
    
      Property valuation
      Building design
      Predictive maintenance
      Energy management
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Component Insights

    The Software tools segment is estimated to witness significant growth during the forecast period. The software tools segment in the generative AI market for real estate is experiencing significant growth due to its ability to deliver substantial operational efficiencies, cost savings, and marketing advantages for industry professionals. This segment includes specialized applications, plugins, and standalone tools designed to address specific challenges in the real estate value chain. One notable example is virtual staging software, which employs generative adversarial networks or diffusion models to create digital furnishings for vacant properties. By eliminating the need for physical staging, this technology saves time, reduces costs, and enhances marketing appeal. Building Information Modeling (BIM) and big data analytics are transforming property management and due diligence.

    The Generative AI in Real Estate Market is transforming property transactions through advanced technologies like real estate chatbots that enhance customer engagement and query resolution. Property search optimization powered by natural language processing enables intuitive and accurate search experienc

  17. g

    Official Property Cadastral Information System (ALKIS data)

    • gimi9.com
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    Official Property Cadastral Information System (ALKIS data) [Dataset]. https://gimi9.com/dataset/eu_6de36219-3e68-489e-8ebc-632e5ffb6dc9/
    Explore at:
    Description

    The Official Property Cadastral Information System (ALKIS) contains the basic geodata of the properties. These are essentially property areas such as parcels of land, buildings, areas of actual use, areas of land estimation and owners. These object areas can be ordered both completely and individually. The ALKIS data form the basis for all spatial information systems that rely on property-binding, up-to-date and accurate data on a large scale and offer the user the possibility of flexible technical and geometric selection. The modelling of the ALKIS data is carried out in accordance with the provisions of the GeoInfoDoc in version 7.1.2 of the Working Group of Surveying Administrations of the Länder of the Federal Republic of Germany (AdV). The data is provided free of charge via automated procedures or self-extraction. For owner data, a legitimate interest must be proven. A fee is charged for the examination of these interests. When using the owner data, the AGNB of the LGB must be observed.

  18. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Burkina Faso, Sierra Leone, Guatemala, El Salvador, Hong Kong, Netherlands, Marshall Islands, Comoros, Bolivia (Plurinational State of), Korea (Republic of)
    Description

    Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

    Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

    Key Features of Success.ai’s Real Estate Professional Contact Data

    • Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:
    1. Real Estate Agents: Professionals facilitating property sales and purchases.
    2. Brokers: Key intermediaries managing transactions between buyers and sellers.
    3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
    4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
    5. Architects & Consultants: Experts driving design and project feasibility.
    • Verified and Continuously Updated Data

    AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

    • Customizable Data Delivery Tailor your data access to align with your operational goals:

    API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

    Why Choose Success.ai for Real Estate Contact Data?

    • Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

    • Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

    • Strategic Use Cases

      Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

    • Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

    • Powerful APIs for Enhanced Functionality

      Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

    Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

    • Use Cases for Real Estate Contact Data
    1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

    2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

    3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

    4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

    5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

    • What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

    Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

  19. m

    Implenia AG - Free-Cash-Flow-To-Equity

    • macro-rankings.com
    csv, excel
    + more versions
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    macro-rankings, Implenia AG - Free-Cash-Flow-To-Equity [Dataset]. https://www.macro-rankings.com/markets/stocks/impn-sw/cashflow-statement/free-cash-flow-to-equity
    Explore at:
    csv, excelAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    switzerland
    Description

    Free-Cash-Flow-To-Equity Time Series for Implenia AG. Implenia AG provides construction and real estate services in Switzerland, Germany, Austria, Norway, Sweden, France, and internationally. It operates through Real Estate, Buildings, Civil Engineering, and Specialties segments. The company offers tunnel construction; civil engineering; structural engineering; construction maintenance; works yards; building construction logistics; and bar post-tensioning systems services, as well as solutions for excavations, retaining structures, deep foundations, and noise barriers. It also provides building construction services, such as new construction, modernization, master builder, and timber construction; real estate development, management, investment, consulting, and planning services; real estate products; building technology planning; construction logistics; building physics, acoustics, sustainability, and energy; facade and geotechnical engineering; and pre-tensioning technology services. In addition, the company provides system solutions; fibre building materials; and expanded polystyrene tunnel elements. The company is headquartered in Opfikon, Switzerland.

  20. Metaverse Real Estate Market Analysis, Size, and Forecast 2024-2028: North...

    • technavio.com
    pdf
    Updated Nov 20, 2024
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    Technavio (2024). Metaverse Real Estate Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, Italy, Russia, and UK), Middle East and Africa (South Africa and UAE), APAC (China, India, Japan, and South Korea), South America (Argentina), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/metaverse-real-estate-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2024 - 2028
    Area covered
    United States
    Description

    Snapshot img

    Metaverse Real Estate Market Size 2024-2028

    The metaverse real estate market size is forecast to increase by USD 11.58 billion, at a CAGR of 73.6% between 2023 and 2028.

    The market is an evolving digital landscape, characterized by the fusion of mixed reality and cryptocurrency. This market is witnessing significant traction due to the increasing adoption of blockchain technology for secure virtual transactions. The Metaverse offers a new frontier for real estate investments, providing unique opportunities for businesses and individuals alike. The market's dynamics are shaped by several factors. One of the most intriguing aspects is the uncertainty surrounding the pricing of virtual properties. While some virtual real estate parcels fetch high prices, others remain undervalued. This volatility can be attributed to the novelty and evolving nature of the market.
    Moreover, the Metaverse's potential applications extend beyond gaming and entertainment. Industries such as education, healthcare, and retail are exploring the Metaverse for innovative solutions. For instance, educational institutions are using virtual campuses to provide immersive learning experiences, while healthcare providers are leveraging virtual environments for telemedicine and patient engagement. Despite the market's uncertainty, the market's growth trajectory is promising. According to recent estimates, the number of active users in the Metaverse is projected to reach 23.3 million by 2025, indicating a significant increase from the current user base. This trend is expected to drive demand for virtual real estate, leading to potential investment opportunities.
    The market presents a unique investment opportunity, characterized by its fusion of mixed reality and cryptocurrency, the adoption of blockchain technology, and the potential for diverse applications across various sectors. The market's dynamics are shaped by factors such as pricing uncertainty and the evolving nature of the Metaverse. Despite these challenges, the market's growth trajectory is promising, with increasing user adoption and the potential for innovative applications driving demand for virtual real estate.
    

    Major Market Trends & Insights

    North America dominated the market and accounted for a 78% growth during the forecast period.
    The market is expected to grow significantly in Second Largest Region as well over the forecast period.
    By the End-user, the Enterprises sub-segment was valued at USD 225.80 billion in 2022
    By the Type, the Virtual Land sub-segment accounted for the largest market revenue share in 2022
    

    Market Size & Forecast

    Market Opportunities: USD 1.25 billion
    Future Opportunities: USD USD 11.58 billion 
    CAGR : 73.6%
    North America: Largest market in 2022
    

    What will be the Size of the Metaverse Real Estate Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    Metaverse real estate represents a significant and expanding sector within the digital economy. According to recent estimates, the market for metaverse property currently accounts for over 1% of total digital asset transactions. Looking ahead, industry experts project a compound annual growth rate of approximately 25% over the next five years. Considerable investment activity characterizes this dynamic market. For instance, virtual land parcels in popular metaverses have seen substantial price increases, with some plots selling for millions of dollars. In comparison, the average price for a residential property in the United States was around USD350,000 as of 2021.
    This discrepancy underscores the significant potential for returns in metaverse real estate. Moreover, the market encompasses a diverse range of offerings. These include virtual world economies, digital identity verification, data storage solutions, user interface design, and blockchain security audits, among others. As the market continues to evolve, the integration of payment gateway services, ownership verification, and digital asset management solutions is expected to further streamline transactions and enhance user experience. Transaction fees and content moderation policies are essential considerations for investors. While fees vary between platforms, they can impact potential returns. Additionally, adherence to data privacy compliance and legal frameworks is crucial to mitigate risks and maintain a positive user experience.
    In summary, the market represents a burgeoning sector with significant growth potential. Investment opportunities span a wide range of offerings, from virtual land sales to platform integration services. As the market continues to mature, regulatory compliance and user experience enhancements will play increasingly important roles.
    

    How is this Metaverse Real Estate Industry segmented?

    The metaverse real estate industry research report provides comprehensive data (region-wise segment

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CorrieBar (2020). Apartment rental offers in Germany [Dataset]. https://www.kaggle.com/datasets/corrieaar/apartment-rental-offers-in-germany/code
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Apartment rental offers in Germany

Rental offers scraped from Germany biggest real estate online plattform

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5 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 20, 2020
Dataset provided by
Kaggle
Authors
CorrieBar
Area covered
Germany
Description

Where is the data from?

The data was scraped from Immoscout24, the biggest real estate platform in Germany. Immoscout24 has listings for both rental properties and homes for sale, however, the data only contains offers for rental properties. The scraping process is described in this blog post and the corresponding code for scraping and minimal processing afterwards can be found in this Github repo. At a given time, all available offers were scraped from the site and saved. This process was repeated three times, so the data set contains offers from the dates 2018-09-22, 2019-05-10 and 2019-10-08.

Content

The data set contains most of the important properties, such as living area size, the rent, both base rent as well as total rent (if applicable), the location (street and house number, if available, ZIP code and state), type of energy etc. It also has two variables containing longer free text descriptions: description with a text describing the offer and facilities describing all available facilities, newest renovation etc. The date column was added to give the time of scraping.

Inspiration

Did rents increase over time? Which areas are the most expensive? Which areas saw the largest increase, which areas became cheaper? Are there any duplicates? How many? What could be gained from a text analysis of the free text variables?

Acknowledgements

The data belongs to www.immobilienscount24.de and is for research purposes only. The data was created with .

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