GITNUX MARKETDATA REPORT 2024

AI In The Real Estate Industry Statistics

The implementation of artificial intelligence in the real estate industry is expected to improve efficiency, accuracy, and decision-making processes.

Highlights: Ai In The Real Estate Industry Statistics

  • By 2025, the AI in real estate market is predicted to reach $8.9 Billion.
  • In 2017, venture capitalists invested around $12 Billion in real estate technology startups.
  • 36% of tenants and homebuyers prioritize a property's digital connectivity over its location.
  • 80% of buyers and 89% of millennials use online resources for house hunting including AI-driven tools.
  • AI-powered predictive analytics can deliver valuation accuracy of up to 97%.
  • By 2030, it is predicted that around 90% of real estate agencies will be using AI.
  • In 2020, 47% of property managers reported utilizing AI for analytics and real-time decision-making.
  • 53% of facility managers that use AI report a 10% increase in revenue.
  • 85% of real estate professionals expect AI to have the greatest impact on their industry by 2030.
  • 74% of all the property management companies use AI to automate tasks.
  • About 60% of real estate professionals are expected to adopt AI technologies within the next year.
  • Approximately 33% of real estate companies are currently using AI for automated business process and data analysis.
  • By 2020, 25% of commercial Real Estate processes were predicted to be automated.
  • AI technologies are predicted to contribute 38%. of the total efficiency savings in the real estate industry by 2030.
  • Implementation of AI could reduce real estate operating costs by up to 15%.
  • AI is estimated to decrease screening time for property managers by 75%.
  • Over the next five years, the use of AI in real estate is predicted to increase by 81%.
  • 90% of real estate companies predict that AI will transform the leasing process within the next five years.
  • By 2022, it is predicted that the utilization of AI in the commercial real estate could reduce business process times by 13%.

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The Latest Ai In The Real Estate Industry Statistics Explained

By 2025, the AI in real estate market is predicted to reach $8.9 Billion.

The statistic states that the artificial intelligence (AI) market in the real estate sector is forecasted to grow to $8.9 billion by the year 2025. This prediction suggests a significant increase in the adoption and utilization of AI technologies within the real estate industry over the next few years. The growing interest in AI in real estate can be attributed to its potential to streamline processes, enhance decision-making, and improve the overall efficiency of various real estate operations. As technology continues to advance, AI is expected to play a more prominent role in shaping the future of the real estate market, driving innovation, and delivering value to industry stakeholders.

In 2017, venture capitalists invested around $12 Billion in real estate technology startups.

The statistic indicates that in 2017, a significant amount of approximately $12 billion was invested by venture capitalists into startups that focus on real estate technology. This substantial investment highlights the growing interest and confidence in the potential of technology to disrupt and innovate the real estate industry. The infusion of such a considerable sum of capital suggests that investors see promising opportunities for growth, development, and innovation within the real estate technology sector. It also signifies the recognition of the importance and potential impact of technology in reshaping the traditional ways of conducting business in the real estate market.

36% of tenants and homebuyers prioritize a property’s digital connectivity over its location.

The statistic stating that 36% of tenants and homebuyers prioritize a property’s digital connectivity over its location implies that a significant portion of individuals place a high value on technological amenities when choosing a place to live. This suggests a shift in preferences where factors such as internet speed, connectivity options, and overall digital infrastructure play a crucial role in decision-making processes related to housing. The data underscores the growing importance of technology in people’s daily lives and highlights how essential digital connectivity has become in defining the perceived value of a property for a notable subset of tenants and homebuyers.

80% of buyers and 89% of millennials use online resources for house hunting including AI-driven tools.

The statistic indicates that a large majority of buyers, specifically 80%, and an even higher percentage of millennials, at 89%, utilize online resources for house hunting, which includes AI-driven tools. This highlights the increasing role of technology in the real estate market and demonstrates a shifting trend towards digital platforms for property searches. The findings suggest that potential homebuyers, particularly younger individuals, are embracing advancements in artificial intelligence to assist in their house hunting process, underscoring the importance of online resources and technology in the modern real estate landscape.

AI-powered predictive analytics can deliver valuation accuracy of up to 97%.

The statistic suggests that predictive analytics techniques powered by artificial intelligence can provide accurate predictions or estimates of outcomes up to 97% of the time. This implies that the models generated by AI algorithms are highly effective in forecasting and making data-driven decisions. A valuation accuracy of 97% indicates a significant level of reliability and precision in forecasting future trends or outcomes based on historical data and patterns. By leveraging AI-powered predictive analytics, organizations can make more informed and strategic decisions, potentially leading to improved business performance and outcomes.

By 2030, it is predicted that around 90% of real estate agencies will be using AI.

The statistic suggests that by the year 2030, a significant shift is expected to occur in the real estate industry, with approximately 90% of real estate agencies incorporating artificial intelligence (AI) technologies into their operations. This prediction implies a widespread adoption of AI tools and systems by real estate firms to enhance efficiency, improve decision-making processes, and better serve clients. The increasing reliance on AI in real estate may enable agencies to streamline tasks such as property valuation, market analysis, customer interactions, and predictive modeling. This trend towards AI utilization reflects the industry’s recognition of the potential benefits that technology can bring in terms of automation, data analysis, and overall competitiveness in the evolving real estate market landscape.

In 2020, 47% of property managers reported utilizing AI for analytics and real-time decision-making.

The statistic that 47% of property managers reported utilizing AI for analytics and real-time decision-making in 2020 indicates a significant adoption of artificial intelligence technology within the property management industry for enhancing data analysis and decision-making processes. This suggests that nearly half of property managers are leveraging AI tools to gain insights from large datasets and make informed decisions promptly, potentially leading to improved operational efficiency, cost savings, and better tenant experiences. The increasing integration of AI in property management showcases the industry’s inclination towards adopting advanced technologies to stay competitive and meet the evolving demands of the market.

53% of facility managers that use AI report a 10% increase in revenue.

The statistic ‘53% of facility managers that use AI report a 10% increase in revenue’ indicates that among the sample of facility managers who have adopted artificial intelligence (AI) technology in their operations, 53% have reported experiencing a 10% increase in revenue as a direct result of utilizing AI. This suggests a positive association between AI implementation and revenue growth in the facility management sector. The statistic implies that AI technologies have the potential to drive financial gains for organizations within this industry, highlighting the value of incorporating AI into business strategies to achieve improved financial performance.

85% of real estate professionals expect AI to have the greatest impact on their industry by 2030.

The statistic that 85% of real estate professionals expect AI to have the greatest impact on their industry by 2030 suggests a strong consensus among professionals in the real estate sector regarding the potential transformative effects of artificial intelligence on their industry within the next decade. This high percentage indicates a widespread recognition of the significant role that AI technologies, such as machine learning algorithms and data analytics tools, are likely to play in revolutionizing various aspects of real estate operations, including property valuations, market forecasting, customer interactions, and decision-making processes. The anticipation of AI’s profound impact reflects a readiness within the real estate industry to embrace technological advancements and adapt to changing market dynamics in order to stay competitive and innovative in the future.

74% of all the property management companies use AI to automate tasks.

The statistic ‘74% of all property management companies use AI to automate tasks’ indicates that a significant majority of property management firms have integrated artificial intelligence technology into their operations to streamline and enhance various tasks and processes. This suggests that AI is increasingly being embraced within the property management industry as a tool to improve efficiency, accuracy, and overall effectiveness in managing properties. By leveraging AI technology, these companies can automate repetitive tasks, analyze data more effectively, streamline communication with tenants and landlords, and ultimately optimize their operations to provide better services and outcomes.

About 60% of real estate professionals are expected to adopt AI technologies within the next year.

The statistic “About 60% of real estate professionals are expected to adopt AI technologies within the next year” suggests that a majority of individuals working in the real estate industry are anticipated to integrate artificial intelligence tools and technologies into their business operations over the coming year. This indicates a growing trend towards embracing AI solutions to enhance efficiency, productivity, and decision-making processes within the real estate sector. The high adoption rate also signifies increasing recognition of the potential benefits that AI can offer in areas such as property valuations, market analysis, predictive modeling, and customer service. As such, real estate professionals are likely exploring how AI can help them stay competitive, better serve clients, and adapt to changing market conditions in the rapidly evolving digital age.

Approximately 33% of real estate companies are currently using AI for automated business process and data analysis.

The statistic “Approximately 33% of real estate companies are currently using AI for automated business process and data analysis” indicates that a significant portion of the real estate industry has adopted artificial intelligence technology for streamlining operations and analyzing data. This suggests that a growing number of companies in the real estate sector are leveraging AI to enhance efficiency, make data-driven decisions, and gain a competitive edge. The integration of AI in business processes can potentially lead to improved productivity, cost savings, and more accurate insights for real estate companies that have embraced this technology.

By 2020, 25% of commercial Real Estate processes were predicted to be automated.

The statistic indicates that by the year 2020, it was predicted that around 25% of commercial real estate processes would be automated. This suggests a significant advancement in the real estate industry towards incorporating technology and automation into various aspects of managing commercial properties. Automation in real estate processes could include using software or systems to streamline tasks such as property management, leasing, sales, maintenance, and financial transactions. By automating a quarter of commercial real estate processes, companies in the industry could potentially improve efficiency, reduce costs, and enhance overall productivity.

AI technologies are predicted to contribute 38%. of the total efficiency savings in the real estate industry by 2030.

This statistic indicates that artificial intelligence (AI) technologies are expected to play a significant role in driving efficiency and cost savings within the real estate industry. By 2030, it is forecasted that AI will contribute 38% of the total efficiency gains in this sector. This suggests that AI applications such as predictive analytics, automation, and data-driven decision-making will increasingly be adopted to streamline operations, optimize resource allocation, and enhance overall performance in real estate businesses. The substantial impact of AI on efficiency savings highlights the growing importance of technology-driven solutions in transforming the traditional practices and processes within the real estate industry, ultimately leading to improved productivity and competitiveness in the market.

Implementation of AI could reduce real estate operating costs by up to 15%.

The statistic “Implementation of AI could reduce real estate operating costs by up to 15%” suggests that utilizing artificial intelligence (AI) technology in the real estate industry has the potential to lead to significant cost savings. AI can streamline various operational processes, such as property management, maintenance, and energy efficiency, through automation, data analysis, and predictive analytics, ultimately driving efficiency and reducing expenses. By leveraging AI tools and algorithms, real estate companies can make more informed decisions, optimize resource allocation, and improve overall performance, potentially resulting in a substantial decrease of up to 15% in operating costs. This statistic highlights the transformative impact of AI in revolutionizing traditional real estate practices and underscores the importance of embracing technological advancements to maximize cost-saving opportunities in the industry.

AI is estimated to decrease screening time for property managers by 75%.

The statistic that AI is estimated to decrease screening time for property managers by 75% means that utilizing artificial intelligence technology in the screening process is projected to reduce the amount of time property managers spend on this task by three-fourths. This significant decrease in screening time suggests that AI tools can automate and streamline various aspects of the screening process, such as background checks, credit evaluations, and application reviews, leading to increased efficiency and productivity for property managers. By leveraging AI capabilities, property managers can save time and resources while still ensuring thorough and accurate tenant screenings, ultimately improving overall operational efficiency and potentially contributing to better tenant selection decisions.

Over the next five years, the use of AI in real estate is predicted to increase by 81%.

The statistic “Over the next five years, the use of AI in real estate is predicted to increase by 81%” indicates that there is a significant expected growth in the adoption of artificial intelligence (AI) technology within the real estate industry. This suggests that more real estate professionals and companies are likely to integrate AI solutions into their operations to enhance efficiency, accuracy, and decision-making processes. The projected 81% increase implies a substantial shift towards leveraging AI tools such as data analytics, predictive modeling, virtual assistants, and smart home technologies to streamline various aspects of real estate transactions, property management, and customer service. This growth trend signals a transformative period in the real estate sector where AI is poised to play a crucial role in driving innovation and competitiveness.

90% of real estate companies predict that AI will transform the leasing process within the next five years.

The statistic “90% of real estate companies predict that AI will transform the leasing process within the next five years” indicates a high level of consensus among real estate professionals regarding the impact of artificial intelligence (AI) on the leasing process. This statistic suggests that the vast majority of real estate companies believe that AI technology will revolutionize how leases are managed and executed over the next five years. This prediction highlights the increasing recognition within the industry of the potential benefits of AI in streamlining operations, enhancing efficiency, and improving overall decision-making processes related to leasing transactions.

By 2022, it is predicted that the utilization of AI in the commercial real estate could reduce business process times by 13%.

This statistic suggests that by the year 2022, the adoption of artificial intelligence (AI) in the commercial real estate industry is anticipated to lead to a significant reduction in business process times. Specifically, the utilization of AI technologies is expected to decrease the time taken to complete various tasks and operations within the sector by 13%. This prediction reflects the potential for AI to streamline and automate processes, optimize decision-making, and enhance overall operational efficiency within commercial real estate operations. The projected impact underscores the transformative power of AI in revolutionizing traditional business practices and driving productivity gains in the industry.

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How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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