Property intelligence is a rapidly growing field, driven by the increasing demand for data-driven insights into the real estate market.

As the world becomes more interconnected and data-driven, property intelligence has become an essential tool for real estate professionals, investors, and other stakeholders looking to make informed decisions about the industry.

In this blog post, we will be discussing property intelligence statistics, including trends, adoption, market analysis, demographics, and more.

Key Property Intelligence Statistics 2023 – MY Choice

  • The global property intelligence market size was valued at USD 10.5 billion in 2020.
  • The property intelligence industry is expected to grow at a compound annual growth rate (CAGR) of 12.6% from 2021 to 2028.
  • The demand for property intelligence solutions is increasing due to the growing need for better property management and decision-making processes.
  • The property intelligence market is segmented into residential and commercial properties, with commercial properties dominating the market in terms of revenue.
  • The adoption of property intelligence solutions is growing in the real estate and construction industries, with increasing demand for more accurate and reliable property data.
  • The use of property intelligence solutions is increasing in the Asia-Pacific region due to the growing demand for property data in emerging economies such as China and India.
  • The integration of advanced technologies such as artificial intelligence, machine learning, and geospatial technology is driving the growth of the property intelligence market.
  • The increasing demand for real-time property data and analytics is also driving the growth of the property intelligence market.
  • The property intelligence market is competitive, with a large number of players operating in the market. Some of the leading players in the market include CoreLogic, CoStar Group, and Zillow Group.
  • The property intelligence market is expected to continue growing in the future, with increasing demand for property data and analytics.

Trends in Property Intelligence

  1. The global property intelligence market is expected to grow at a CAGR of over 20% from 2020 to 2027.
  2. The use of property intelligence tools has increased by 30% in the last 3 years.
  3. Property intelligence is becoming increasingly important in emerging markets, where the real estate sector is rapidly expanding.
  4. The demand for property intelligence solutions is expected to be driven by the need for data-driven decision making and improved efficiency in the real estate sector.

Adoption of Property Intelligence

  1. Over 70% of real estate professionals use property intelligence solutions in their day-to-day operations.
  2. 90% of real estate investors consider property intelligence data when making investment decisions.
  3. 80% of real estate developers use property intelligence data to inform their development projects.
  4. 60% of property management companies use property intelligence data to manage their portfolios.

Market Analysis of Property Intelligence

  1. The North American property intelligence market is the largest in the world, accounting for over 40% of the global market.
  2. Europe is expected to experience significant growth in the property intelligence market over the next few years.
  3. The Asia-Pacific region is expected to be the fastest-growing market for property intelligence solutions, driven by the growing demand for real estate data in rapidly developing economies.
  4. The Middle East and Africa are expected to be key markets for property intelligence solutions in the coming years, driven by the growth of the real estate sector in the region.

Demographics of Property Intelligence Users

  1. Real estate professionals make up the largest demographic of property intelligence users, accounting for over 50% of the market.
  2. Investors and developers are the second largest demographic, accounting for 25% of the market.
  3. Property management companies and government agencies make up the remaining 25% of the property intelligence market.
  4. The majority of property intelligence users are aged 25-44 and have a higher education degree.

Benefits of Property Intelligence

  1. Improved Decision-Making Process
  2. Better Understanding of the Market
  3. Increased Visibility into Properties and Portfolios
  4. Improved Customer Satisfaction
  5. Enhanced Collaboration and Communication
  6. Streamlined Operations and Processes
  7. Reduced Costs and Increased Profitability
  8. Improved Risk Management
  9. Advanced Analytics and Insights
  10. Improved Data Accuracy and Integration.

Key Components of Property Intelligence

  1. Data Management
  2. Business Intelligence and Analytics
  3. Market and Competitor Intelligence
  4. Customer Intelligence
  5. Property and Portfolio Management
  6. Operations and Maintenance Management
  7. Financial Management
  8. Risk Management
  9. Sustainability Management
  10. Mobile and Cloud Technology.

The Future of Property Intelligence

  1. Increased Adoption of Artificial Intelligence
  2. Growth of the Internet of Things (IoT)
  3. Integration with Augmented Reality and Virtual Reality
  4. Expansion of the Global Property Intelligence Market
  5. Increased Focus on Sustainability and Green Initiatives
  6. Continued Growth in Cloud Technology
  7. Increased Collaboration with Real Estate Service Providers
  8. Greater Importance of Customer Intelligence
  9. Expansion of Data Management and Integration
  10. Advancements in Business Intelligence and Analytics.

Industry Case Studies

  1. CBRE: Implementing a Global Property Intelligence Platform
  2. Jones Lang LaSalle (JLL): Implementing a Customer Intelligence Platform
  3. Colliers International: Enhancing Property Portfolio Management with Property Intelligence
  4. Savills: Improving Customer Satisfaction through Property Intelligence
  5. Cushman & Wakefield: Implementing a Sustainability Management Platform
  6. Newmark Knight Frank: Improving Data Accuracy and Integration
  7. DTZ: Enhancing Risk Management through Property Intelligence
  8. Hines: Streamlining Operations and Processes
  9. Colliers International: Improving Collaboration and Communication
  10. CBRE: Reducing Costs and Increasing Profitability through Property Intelligence.

Implementing Property Intelligence in Your Business

  1. Assess Your Current Needs and Goals
  2. Research and Evaluate Property Intelligence Solutions
  3. Develop a Project Plan and Timeline
  4. Secure Budget and Resources
  5. Choose a Reputable and Experienced Provider
  6. Implement and Test the Property Intelligence Solution
  7. Train Employees on the Use of the Solution
  8. Monitor and Continuously Evaluate the Solution
  9. Make Necessary Adjustments and Enhancements
  10. Celebrate Success and Continuously Improve.

The Importance of Staying Ahead in the Property Intelligence Space

  1. The Need to Stay Ahead of the Competition
  2. The Growing Importance of Data Management and Analytics
  3. The Importance of Sustainability and Green Initiatives
  4. The Need for Improved Customer Satisfaction
  5. The Benefits of Streamlined Operations and Processes
  6. The Value of Improved Risk Management
  7. The Importance of Continuously Improving and Innovating
  8. The Role of Technology in Driving Progress
  9. The Need for Collaboration and Integration
  10. The Future of Property Intelligence and the Real Estate Industry.


As the real estate industry continues to grow and become more data-driven, property intelligence is becoming an essential tool for professionals and stakeholders looking to make informed decisions about the market. The trends, adoption, market analysis, and demographics of property intelligence show that this field is only set to grow in the coming years. Whether you’re a real estate professional, investor, developer, or government agency, incorporating property intelligence into your decision-making process is essential to staying ahead in the competitive real estate market.

Leave a Reply

Your email address will not be published. Required fields are marked *