Donuka offers a simple, reliable property data solution to power innovation and create seamless business solutions for companies of all sizes. Our data covers more than 37 million properties spread out across the U.S. that can be accessed in bulk-file format or through our APIs.

We offer access to data ONLY in selected states and counties

DATA SOURCES:

1. ONLY state sources (city/county/state administration, federal agencies, ministries, etc.). We DO NOT use unverified databases
2. Over 2300 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable

DATA TYPES:

1. Specifications
2. Owners
3. Permits
4. Sales
5. Inspections
6. Violations
7. Assessed values
8. Taxes
9. Risks
10. Foreclosures
11. Property Tax Liens
12. Deed Restrictions

NUMBERS:

1. 2300+ data sources in total
2. 4 billion records (listed in the "data types" block above) in total
3. 2 million new records every day

DATA USAGE:

1. Property check, investigation (even the smallest events are stored in our database)
2. Prospecting (more than 100 parameters to find the required records)
3. Tracking (our data allows us to track any changes)

In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

Unraveling the Technical Prowess of BatchData Property Data Search API:

State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

Common Use Cases for BatchData Property Data Search API:

Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

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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

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Contact information for the Industrial and Commercial Development Investment Promotion Association of each county and city

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. 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.

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.
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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.

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.

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 period.

The U.S. commercial real estate market is undergoing major shifts, particularly in the office segment, driven by flexible work models, evolving corporate needs, and technological advancements. Businesses now favor adaptable, tech-enabled spaces to attract talent, fueling demand for co-working hubs like Regus and WeWork. Industry leaders such as Google and Amazon are redefining office design to boost collaboration and satisfaction.

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The Offices segment was valued at USD 476.50 billion in 2019 and showed a gradual increase during th

China Asset Mgt Business: Fund Co.: Invest into: Stock data was reported at 12.530 % in 2022. This records a decrease from the previous number of 13.510 % for 2021. China Asset Mgt Business: Fund Co.: Invest into: Stock data is updated yearly, averaging 13.510 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 21.000 % in 2015 and a record low of 8.400 % in 2018. China Asset Mgt Business: Fund Co.: Invest into: Stock data remains active status in CEIC and is reported by Asset Management Association of China. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Asset Management: Business: Investment Direction.

The median income indicates the income bracket separating the income earners into two halves of equal size.

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An in-depth analysis offering key statistics on the real estate market's size, growth, and trends, including market value, investment trends, demographic influences, and the impact of digital transformation.

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China Asset Mgt Business: Securities Co.: Directional: Business Channel: Invest into: Entrusted Loan data was reported at 14.100 % in 2016. This records a decrease from the previous number of 16.800 % for 2015. China Asset Mgt Business: Securities Co.: Directional: Business Channel: Invest into: Entrusted Loan data is updated yearly, averaging 19.100 % from Dec 2013 (Median) to 2016, with 4 observations. The data reached an all-time high of 24.400 % in 2014 and a record low of 14.100 % in 2016. China Asset Mgt Business: Securities Co.: Directional: Business Channel: Invest into: Entrusted Loan data remains active status in CEIC and is reported by Asset Management Association of China. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Asset Management: Business: Investment Direction.

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