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

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...

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

Xverum’s Urban Planning Data is a comprehensive dataset of 230M+ verified locations, offering insights into commercial real estate, property trends, and urban development. Covering 5000 categories, our dataset supports real estate investors, urban planners, and policymakers in making data-driven decisions for infrastructure development, property market analysis, and zoning regulations.

With regular updates and continuous POI discovery, Xverum ensures your real estate and urban planning models have the latest property and commercial development data. Delivered in bulk via S3 Bucket or cloud storage, our dataset is ideal for GIS applications, market research, and smart city development.

🔥 Key Features:

Extensive Coverage for Urban Planning & Real Estate: ✅ 230M+ locations worldwide, spanning 5000 categories. ✅ Covers retail, office, industrial, hospitality, and mixed-use properties.

Geographic & Property Market Data: ✅ Latitude & longitude coordinates for precise mapping & real estate valuation. ✅ Property classifications, including commercial & mixed-use assets. ✅ Country, state, city, and postal code classifications for regional analysis.

Comprehensive Real Estate & Property Data: ✅ Property metadata, including location type, size, and market value insights. ✅ Business & commercial property listings for competitive analysis. ✅ Zoning data & regulatory insights for urban expansion & infrastructure planning.

Optimized for Real Estate & Urban Development: ✅ Supports market research, investment analysis & infrastructure development. ✅ Enhances real estate forecasting & planning applications. ✅ Provides in-depth insights for land use and smart city initiatives.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in a structured format (.json) for seamless integration.

🏆 Primary Use Cases:

Urban Planning & Infrastructure Development 🔹 Optimize land use planning, zoning, and city expansion projects. 🔹 Enhance GIS mapping with real estate & infrastructure data.

Real Estate Market Analysis & Investment Research: 🔹 Track commercial property trends & investment opportunities.

Smart City & Economic Growth Planning: 🔹 Identify high-growth regions for real estate & commercial expansion.

💡 Why Choose Xverum’s Urban Planning Data? - 230M+ Verified Locations – One of the largest & most structured real estate datasets available. - Global Coverage – Spanning 249+ countries, covering all real estate & property sectors. - Regular Updates & New Property Discoveries – Ensuring the highest accuracy. - Comprehensive Geographic & Market Metadata – Coordinates, zoning insights & property classifications. - Bulk Dataset Delivery – Direct access via S3 Bucket or cloud storage. - 100% Compliant – Ethically sourced & legally compliant.

Egypt GDP: Real Estate data was reported at 302,141.920 EGP mn in Dec 2024. This records a decrease from the previous number of 312,317.353 EGP mn for Sep 2024. Egypt GDP: Real Estate data is updated quarterly, averaging 43,900.300 EGP mn from Sep 2001 (Median) to Dec 2024, with 94 observations. The data reached an all-time high of 312,317.353 EGP mn in Sep 2024 and a record low of 3,383.500 EGP mn in Sep 2001. Egypt GDP: Real Estate data remains active status in CEIC and is reported by Ministry of Planning, Economic Development and International Cooperation. The data is categorized under Global Database’s Egypt – Table EG.A014: GDP: by Industry: Current Price.

Total Housing Inventory in the United States decreased to 1530 Thousands in June from 1540 Thousands in May of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

AI-Assisted Real Estate Valuation Market Outlook

According to our latest research, the AI-Assisted Real Estate Valuation market size reached USD 1.97 billion globally in 2024, demonstrating robust adoption across the property sector. The market is projected to grow at a CAGR of 15.4% from 2025 to 2033, reaching an estimated value of USD 6.04 billion by the end of the forecast period. This impressive growth trajectory is primarily driven by increasing demand for accurate, data-driven property valuations, the proliferation of big data analytics, and the integration of artificial intelligence in real estate processes.

One of the most significant growth factors propelling the AI-Assisted Real Estate Valuation market is the mounting need for efficiency and accuracy in property appraisal. Traditional real estate valuation methods are often time-consuming, subjective, and prone to human error. AI-powered solutions, by contrast, leverage machine learning algorithms, vast datasets, and predictive analytics to deliver precise and unbiased property valuations in real time. This capability is especially valuable in volatile markets or regions experiencing rapid development, where timely and accurate property assessments are crucial for both buyers and sellers. The adoption of AI-driven tools also reduces operational costs for real estate agencies and financial institutions, further incentivizing the shift towards automated valuation models (AVMs).

Another key driver is the increasing digitization of the real estate sector, which is generating unprecedented volumes of structured and unstructured data. AI-Assisted Real Estate Valuation platforms can process diverse datasets, including historical sales records, neighborhood trends, economic indicators, and even satellite imagery. This advanced data processing capability supports more nuanced and context-aware valuations, enabling stakeholders to make informed decisions with greater confidence. Additionally, regulatory changes in many countries are encouraging the use of transparent, auditable, and standardized valuation methodologies, which AI-powered systems are uniquely equipped to provide.

The market is also benefiting from growing investor interest in proptech and the broader digital transformation of real estate. Venture capital and private equity funds are increasingly channeling resources into AI-driven real estate solutions, spurring innovation and competition among technology providers. This influx of capital is fostering the development of more sophisticated AI models, intuitive user interfaces, and robust integration capabilities with other property management systems. As a result, AI-Assisted Real Estate Valuation solutions are becoming more accessible to a wider range of end-users, from large institutional investors to individual homebuyers and sellers.

From a regional perspective, North America currently dominates the AI-Assisted Real Estate Valuation market, accounting for the largest share of global revenues in 2024. This leadership position is underpinned by the presence of major proptech firms, advanced digital infrastructure, and a high rate of technology adoption among real estate professionals. However, the Asia Pacific region is expected to register the fastest growth over the forecast period, driven by rapid urbanization, expanding middle-class populations, and increasing investments in smart city initiatives. Europe is also witnessing steady growth, supported by regulatory harmonization and a strong focus on transparency in property transactions.

Component Analysis

The AI-Assisted Real Estate Valuation market is segmented by component into Software and Services. The software segment encompasses a wide range of AI-powered platforms, applications, and automated valuation models that enable real-time property assessment. These solutions are designed to ingest and analyze large volumes of data, apply advanced algorithms, and generate accurate property valuations with minimal human intervention. The software segment is witnessing significant innovation, with vendors integrating features such as natural language processing, computer vision, and predictive analytics to enhance the depth and reliability of their valuation outputs. As a result, real estate agencies, financial institutions, and individual users are increasingly adopting software-based solutions to streamline their appraisal processes and improve decision-making.
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Silencio’s Street Noise-Level Dataset provides unmatched value for the real estate industry, delivering highly granular noise data to property professionals, developers, and investors. Built from over 35 billion datapoints collected globally via our mobile app and refined through AI-driven interpolation, this dataset offers hyper-local average noise levels (dBA) covering streets, neighborhoods, and venues across more than 200 countries.

Our data helps assess the environmental quality of any location, supporting residential and commercial property valuations, site selection, and urban development. By integrating real-world noise measurements with AI-powered models, we enable real estate professionals to evaluate how noise exposure impacts property value, livability, and buyer perception — factors often overlooked by traditional market analyses.

Silencio also operates the largest global database of noise complaints, providing additional context for understanding neighborhood soundscapes from both objective measurements and subjective community feedback.

We offer on-demand visual delivery for mapped cities, regions, or even specific streets and districts, allowing clients to access exactly the data they need. Data is available both as historical and up-to-date records, ready to be integrated into valuation models, investment reports, and location intelligence platforms. Delivery options include CSV exports, S3 buckets, PDF, PNG, JPEG, and we are currently developing a full-featured API, with flexibility to adapt to client needs. We are open to discussion for API early access, custom projects, or unique delivery formats.

Fully anonymized and fully GDPR-compliant, Silencio’s data ensures ethical sourcing while providing real estate professionals with actionable insights for smarter, more transparent valuations.

Housing Index in the United Kingdom decreased to 511.60 points in June from 511.80 points in May of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Begin-Period-Cashflow Time Series for Japan Real Estate Investment Corp. Japan Real Estate Investment Corporation (the "Company") was established on May 11, 2001 pursuant to Japan's Act on Investment Trusts and Investment Corporations ("ITA"). The Company was listed on the real estate investment trust market of the Tokyo Stock Exchange ("TSE") on September 10, 2001 (Securities Code: 8952). Since its IPO, the size of the Company's assets (total acquisition price) has grown steadily, expanding from 92.8 billion yen to 1,167.7 billion yen as of March 31, 2025. Over the same period, the Company's portfolio has also increased from 20 properties to 77 properties. During the March 2025 period (October 1, 2024 to March 31, 2025), the Japanese economy continued to demonstrate a gradual recovery, despite some lingering stagnation in capital investment and personal consumption due to inflation and other factors. On the other hand, given the policy rate hikes by the Bank of Japan, the shift in global interest rates to a lowering phase, the impact of U.S. policy trends, such as trade policy and other factors, interest rate trends, overseas political and economic developments, and price trends, including resource prices, will continue to bear watching. In the office leasing market, demand continues to grow for leases driven by business expansion and relocations aimed at improving location. As a result, the vacancy rate in central Tokyo continues to decline gradually. In addition, rent levels are rising at an accelerating rate. In light of the prevailing conditions in the leasing market, the Company is striving to attract new tenants through strategic leasing activities and to further enhance the satisfaction level of existing tenants by adding value to its portfolio properties with the aim of maintaining and improving the occupancy rate and realizing sustainable income growth across the entire portfolio. In the real estate trading market, despite the Bank of Japan normalizing its monetary policy, the appetite for property acquisition among both domestic and foreign investors remains firm, backed ma

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

Housing Index in Sweden decreased to 936 points in the first quarter of 2025 from 937 points in the fourth quarter of 2024. This dataset provides - Sweden House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in South Korea remained unchanged at 93 points in June. This dataset provides - South Korea House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: Market Rate: Northeast: Piauí data was reported at 1,914,748.000 BRL in Nov 2018. This records a decrease from the previous number of 4,463,220.000 BRL for Oct 2018. Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: Market Rate: Northeast: Piauí data is updated monthly, averaging 726,500.000 BRL from Dec 2009 (Median) to Nov 2018, with 108 observations. The data reached an all-time high of 6,364,189.000 BRL in Jul 2016 and a record low of 0.000 BRL in Aug 2018. Brazil Loans: Real Estate Financing: Value: for Purchase: Residential Building: Market Rate: Northeast: Piauí data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Monetary – Table BR.KAB064: Loans: Real Estate Financing: Value: for Purchase: by Region: Residential Building: Market Rate. The SFH uses the following features to provide credit to citizens: the Guarantee Fund for Time of Service - FGTS (eligible users are allowed the withdraw from FGTS for payment of Real Estate financing under SFH), the current account savings and loans raised in the country or abroad for the implementation of housing projects and mortgage bonds (debt securities) issued by financial agents. Under this scheme, funding can go up to 90% of property value, and cost effective maximum (which includes all charges and expenses incidental to the credit contracted or offered to individuals) may not exceed 12% per year, including interest, fees and other charges. O SFH utiliza os seguintes recursos para fornecer crédito aos cidadãos: o Fundo de Garantia por Tempo de Serviço - FGTS (é permitido o retirar do FGTS para o pagamento de financiamento imobiliário sob SFH), a poupança em conta corrente e empréstimos captados no país ou no exterior para a implementação de projetos de habitação e obrigações hipotecárias (títulos de dívida) emitidas pelos agentes financeiros. Ao abrigo deste regime, o financiamento pode ir até 90% do valor do imóvel, e o custo máximo efetivo (que inclui todos os encargos e despesas acessórias ao crédito contratado ou oferecido a pessoas físicas) não pode exceder 12% por ano, incluindo os juros, taxas e outras encargos.

Real Estate Automation Software Market Outlook

The global real estate automation software market size was valued at USD 6.5 billion in 2023 and is projected to reach USD 15.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% during the forecast period. The significant growth factor contributing to this market is the increasing need for efficiency and accuracy in real estate operations, driven by technological advancements and the rising adoption of automated solutions across the industry.

One of the primary growth factors for the real estate automation software market is the growing demand for streamlined operations and reduced manual intervention. With the rapid urbanization and increasing property transactions globally, real estate professionals are seeking ways to automate administrative tasks such as property listings, client management, transaction processing, and financial reporting. Automation helps in minimizing human errors, enhancing productivity, and providing better customer service, thus driving the market growth.

The integration of advanced technologies such as artificial intelligence (AI), machine learning (ML), and big data analytics is another crucial factor bolstering the market. These technologies enable real estate professionals to analyze vast datasets, predict market trends, and make data-driven decisions. AI-powered chatbots, for instance, can assist in customer inquiries and provide quick responses, thereby improving customer engagement and satisfaction. The ability to leverage these technologies for enhanced decision-making and operational efficiency is propelling the adoption of real estate automation software.

Additionally, the rising trend of remote work and the increasing usage of mobile applications are significantly influencing the market. Real estate professionals are now relying on mobile-based applications to manage their work on-the-go. These applications offer features like virtual tours, digital document signing, and real-time notifications, which enhance the overall user experience. The convenience of accessing real estate information and performing tasks remotely is contributing to the widespread adoption of automation software in the industry.

Real Estateing Software plays a pivotal role in transforming the way real estate professionals manage their operations. This software provides a comprehensive platform that integrates various functionalities such as property management, client communication, and transaction processing. By utilizing Real Estateing Software, firms can streamline their workflows, reduce manual errors, and enhance overall productivity. The software's ability to centralize data and automate routine tasks allows real estate professionals to focus on strategic decision-making and customer engagement. As the demand for efficient and effective real estate management solutions continues to rise, Real Estateing Software is becoming an indispensable tool for industry players looking to stay competitive in a rapidly evolving market.

From a regional perspective, North America holds a significant share in the real estate automation software market, attributed to the early adoption of advanced technologies and the presence of key market players in the region. The Asia Pacific region is expected to witness the highest CAGR during the forecast period, driven by rapid urbanization, increasing real estate investments, and the growing adoption of technology in emerging economies like China and India. Europe also presents lucrative opportunities due to the modernization of real estate practices and the increasing focus on enhancing operational efficiency.

Component Analysis

In the real estate automation software market, the component segment is bifurcated into software and services. The software segment includes solutions designed to automate various real estate operations, while the services segment encompasses consulting, implementation, and maintenance services. The software component is further categorized into property management software, customer relationship management (CRM) software, and transaction management software, among others.

The software segment dominates the market owing to the increasing need for comprehensive solutions that can manage multiple aspects of real estate operations. Property management software, for instance, automates tasks such as tenant screening, lease tracking, and maintenance scheduling, t

Portugal Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Real Estate Activities data was reported at 8.592 % in 2023. This records a decrease from the previous number of 8.841 % for 2022. Portugal Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Real Estate Activities data is updated yearly, averaging 6.349 % from Dec 2005 (Median) to 2023, with 19 observations. The data reached an all-time high of 9.222 % in 2021 and a record low of 2.384 % in 2006. Portugal Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Real Estate Activities data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Portugal – Table PT.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Success.ai’s Commercial Real Estate Data for Commercial Real Estate Professionals in Europe provides a highly detailed dataset tailored for businesses looking to engage with key decision-makers in the European commercial real estate market. Covering developers, property managers, brokers, and investors, this dataset includes verified contact data, decision-maker insights, and firmographic details to empower your outreach and strategic initiatives.

With access to over 700 million verified global profiles and data from 70 million businesses, Success.ai ensures your marketing, sales, and partnership efforts are powered by accurate, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is indispensable for navigating Europe’s thriving commercial real estate sector.

Why Choose Success.ai’s Commercial Real Estate Data?

1. Verified Contact Data for Targeted Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of property developers, brokers, asset managers, and investment leads.
   • AI-driven validation ensures 99% accuracy, reducing communication errors and improving outreach effectiveness.

2. Comprehensive Coverage Across Europe’s Real Estate Sector

   • Includes profiles from major European real estate markets such as the UK, Germany, France, Italy, and the Netherlands.
   • Gain insights into regional market dynamics, investment opportunities, and commercial real estate trends.

3. Continuously Updated Datasets

   • Real-time updates capture leadership changes, market expansions, and emerging property developments.
   • Stay aligned with the fast-evolving commercial real estate market and seize opportunities effectively.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use of data and compliance with legal standards.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with decision-makers, property managers, and brokers in Europe’s commercial real estate sector.
• 70M Business Profiles: Access detailed firmographic data, including company sizes, revenue ranges, and geographic footprints.
• Leadership Insights: Engage with CEOs, asset managers, and real estate directors driving strategic decisions.
• Market Intelligence: Gain visibility into property development projects, investment trends, and regional opportunities.

Key Features of the Dataset:

1. Decision-Maker Profiles in Real Estate

   • Identify and connect with executives, brokers, and property managers overseeing transactions, asset management, and investment strategies.
   • Target professionals responsible for property acquisitions, leasing, and development.

2. Firmographic and Geographic Insights

   • Access detailed business information, including company structures, geographic locations, and market specializations.
   • Pinpoint key players in specific regions and align outreach with localized market needs.

3. Advanced Filters for Precision Campaigns

   • Filter companies by industry focus (commercial properties, retail, industrial), revenue size, or project scope.
   • Tailor your campaigns to address specific challenges, such as tenant retention, sustainability initiatives, or market expansion.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes with real estate professionals.

Strategic Use Cases:

1. Sales and Lead Generation

   • Present property management tools, software solutions, or investment opportunities to real estate firms and property managers.
   • Build relationships with brokers and developers seeking innovative solutions to streamline operations or enhance profitability.

2. Market Research and Competitive Analysis

   • Analyze trends in Europe’s commercial real estate market to guide product development and marketing strategies.
   • Benchmark against competitors to identify growth opportunities, underserved segments, and high-value properties.

3. Partnership Development and Investment Insights

   • Engage with property developers, asset managers, and brokers exploring strategic partnerships or new investment opportunities.
   • Foster alliances that expand market reach, improve property performance, or drive higher returns.

4. Recruitment and Workforce Solutions

   • Target HR professionals and hiring managers recruiting for roles in property management, real estate finance, or asset development.
   • Provide workforce optimization tools, training platforms, or recruitment services tailored to the commercial real estate sector.

Why Choose Success.ai?

1. Best Price Guarantee
   • Access premium-quality commercial real estate data at competitive prices, ensuring strong ROI for your marketing, sales, and business development efforts. ...

Housing Index in Italy decreased to 113.30 points in the first quarter of 2025 from 113.50 points in the fourth quarter of 2024. This dataset provides - Italy House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Hong Kong increased to 138.84 points in July 27 from 137.76 points in the previous week. This dataset provides - Hong Kong House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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