47 AI in Real Estate Statistics in 2026

AI in Real Estate Statistics

Data-backed analysis of AI market growth, agent adoption, commercial real estate pilots, property-management outcomes, and AI-enabled client workflows

AI adoption in real estate is now widespread, but consistent value creation is still the hard part. The global AI in real estate market reached $301.58 billion in 2025 and is projected to grow to $404.9 billion in 2026. Yet the results gap is real: JLL found that 92% of surveyed corporate real estate occupiers had started piloting AI or planned to start in 2025, while only 5% had achieved all their stated goals. Deloitte similarly found that many commercial real estate organizations remain early in implementation or face deployment challenges. The evidence points to data quality, workflow integration, governance, and user adoption, not software access alone, as the factors that separate successful AI programs from stalled pilots. Luxury Presence applies those principles through a connected real estate growth platform that brings websites, marketing, CRM, lead nurture, and client collaboration into one system.

Key takeaways

  • The market keeps growing: the broad AI in real estate market is projected to grow from $301.58 billion in 2025 to $404.9 billion in 2026, roughly 34.3% year over year.
  • Adoption is high, full success is rare: JLL found that 92% of surveyed corporate real estate occupiers had started piloting AI or planned to start in 2025, but only 5% had achieved all their program goals.
  • Agents are already creating with AI: 46% of Realtors reported using AI-generated content in 2025.
  • AI is becoming a daily habit for some: 20% of Realtors reported daily AI use, and 22% used AI weekly.
  • Impact so far is mixed: 17% reported a significantly positive AI impact and 33% a moderately positive impact, meaning exactly 50% reported a positive impact at one of those two levels, while another 46% reported a neutral or not-yet-noticeable impact.
  • Vendor results can be strong, with caveats: AppFolio reported that surveyed Realm-X users saved an average of 12.5 hours per week, a vendor-reported figure rather than an industry average.

The explosive growth of AI in real estate: key statistics in 2026

Current AI Adoption Among Real Estate Firms

The numbers paint a clear picture: AI has already arrived in real estate. The gap between experimenting and executing, though, remains wide.

1. The global AI in real estate market reached $301.58 billion in 2025

The market reached $301.58 billion in 2025. This baseline reflects years of accelerating adoption across residential, commercial, and property management sectors.

2. The market is projected to reach $404.9 billion in 2026, growing 34.3% year over year

The market is projected to reach $404.9 billion in 2026, representing 34.3% year-over-year growth.

3. The Business Research Company projects a $1.3 trillion market by 2030

Looking ahead, The Business Research Company projects the market will reach approximately $1.3 trillion by 2030, with a 33.9% forecast CAGR. The agents building AI capabilities now are positioning themselves for a real competitive advantage.

4. McKinsey estimates AI could create $430 billion to $550 billion in value across real estate

McKinsey estimates that AI could create $430 billion to $550 billion in estimated potential value across real estate. This represents potential improvements in efficiency, lead conversion, and transaction speed rather than realized revenue or a guaranteed outcome.

5. 92% of surveyed corporate real estate occupiers had started piloting AI or planned to start in 2025

Interest is nearly universal. JLL found that 92% of surveyed corporate real estate occupiers had started piloting AI or planned to start in 2025. The question is no longer whether to adopt AI, but how to implement it well.

6. Only 5% of surveyed occupiers have achieved all their AI goals

Here is the sobering reality: despite widespread experimentation, only 5% of surveyed corporate real estate occupiers said they had achieved all their AI program goals.

7. Many CRE organizations are still early in their AI journey

Expectations are settling into reality. In Deloitte’s commercial real estate survey, 19% of respondents said their organizations remained at an early stage of the AI journey, while 27% cited implementation challenges. Success takes more than a software subscription. It takes integration with real workflows. For broader context, see Deloitte’s 2026 commercial real estate outlook.

8. McKinsey estimates generative AI could improve NOI by about 10% for individual players

Those who get it right can see meaningful returns. McKinsey has estimated that generative AI could potentially improve net operating income by approximately 10% for an individual real estate player. This is a modeled possibility, not an observed industry average.

How Realtors are expanding their AI toolkits

What NAR’s 2025 AI Data Shows

Beyond the most widely used AI assistants, NAR’s 2025 technology survey shows agent adoption already extending across a broader range of generative AI tools, alongside a first look at how agents rate AI’s impact on their business.

9. 8% of surveyed Realtors had used Apple Intelligence

Beyond the three most widely used AI assistants, 8% of respondents to NAR’s 2025 technology survey reported using Apple Intelligence. The result shows that agent adoption is already extending into AI features embedded in everyday devices and operating systems.

10. 5% of surveyed Realtors had used Grok

NAR found that 5% of survey respondents had used Grok by xAI. Its smaller share illustrates how heavily Realtor AI usage remains concentrated among a few leading assistants.

11. 3% of surveyed Realtors had used Claude

Three percent of respondents reported using Anthropic’s Claude. Although adoption was limited compared with ChatGPT, Gemini, and Copilot, the result shows that agents are beginning to test a broader range of generative AI tools.

12. 3% of surveyed Realtors had used NotebookLM

Three percent of respondents had used Google’s NotebookLM. Document-grounded assistants such as NotebookLM can support research and synthesis, but the survey indicates that adoption among Realtors remained early in 2025.

13. 1% of surveyed Realtors had used DeepSeek

NAR reported that 1% of respondents had used DeepSeek. This placed it among the least-used named AI tools in the survey.

14. 2% of Realtors reported a moderately negative AI impact

AI outcomes were not universally positive. Two percent of respondents said AI had produced a moderately negative impact on their real estate business.

15. 2% of Realtors reported a significantly negative AI impact

Another 2% of respondents reported a significantly negative impact. Together, the two negative categories accounted for 4% of responses, substantially below the 50% who reported either a significantly or moderately positive impact.

How Real Estate Investors Are Approaching AI

Choosing where to invest in AI starts with understanding how the broader investment community is moving. The Presence Platform folds marketing, listing ads, and lead generation into one system, with availability by tier shown on the plans page.

16. 88% of surveyed real estate investors had started piloting AI

JLL found that 88% of surveyed real estate investors, owners, and landlords had already started piloting AI. The figure demonstrates how quickly experimentation has spread across the real estate investment value chain.

17. Real estate investors were pursuing an average of five AI use cases simultaneously

The same JLL research found that surveyed investors were pursuing an average of five AI use cases at the same time. That breadth increases the need for clear prioritization, reliable data, and disciplined implementation.

18. 60% of real estate investors remained unprepared to scale AI beyond pilots

Despite high pilot activity, 60% of surveyed investors remained unprepared, lacking the technology roadmaps and strategies required to integrate AI into business workflows at scale.

The role of technology companies in real estate’s AI revolution

Leading PropTech Companies and Regional Growth

The PropTech sector has matured fast, with integrated platforms replacing scattered point solutions. The Presence Platform powers an intelligence layer across website, marketing, CRM, and collaboration tools, so learning compounds across every client interaction.

19. North America was the largest regional AI in real estate market in 2025

The U.S. and Canada made up the largest regional AI in real estate market in 2025.

20. North America drove over 41% of generative AI revenue

Precedence Research estimates that North America accounted for more than 41% of generative-AI-in-real-estate revenue in 2025.

21. The U.S. generative AI market is projected to reach $419.33 million by 2035

By one firm’s forecast, the U.S. generative AI in real estate market is projected to grow from $140.07 million in 2025 to $419.33 million by 2035, a clear signal of sustained investment.

22. Cloud deployment generated over 60% of generative AI revenue in 2025

The shift to cloud is decisive. Cloud deployment accounted for over 60% of generative-AI-in-real-estate revenue in 2025.

The Impact of Integrated AI Platforms

23. Generative AI in real estate grew from $0.77 billion to $1 billion in 2026

By one research firm’s separate generative-AI market estimate, the generative AI subset grew from $0.77 billion in 2025 to $1 billion in 2026, at 30.4% growth. This includes content creation, listing descriptions, and marketing copy.

24. Generative AI in real estate is projected to reach $2.86 billion by 2030

The same Research and Markets report projects $2.86 billion by 2030, at a 29.8% forecast CAGR.

How Realtors are adopting AI in 2026

AI Tool Usage Among Agents

Adoption is no longer theoretical. Agents are folding AI into everyday work, though the pace varies widely.

25. 46% of Realtors used AI-generated content in 2025

Forty-six percent of Realtors reported using AI-generated content in 2025, from listing copy to social posts and email. This is 2025 survey data.

26. 20% of Realtors use AI tools daily

Twenty percent of Realtors said they used AI tools daily, a sign the technology is becoming part of the routine for a meaningful share of agents.

27. 22% of Realtors use AI tools weekly

Twenty-two percent of Realtors said they used AI tools weekly, extending regular use well beyond the daily power users.

Understanding Realtor AI sentiment and usage in 2026

How Often Agents Use AI Tools

Market intelligence that once required an analyst team can now surface in minutes. AI CRM reads behavioral signals, prioritizes the next action, and drafts agent-approved follow-ups, so intent shows up before a prospect announces their plans.

28. 27% of Realtors use AI a few times a month

Twenty-seven percent of Realtors said they used AI tools a few times per month, showing steady if occasional engagement.

29. 32% of Realtors have not yet used AI tools

Thirty-two percent of Realtors said they had not yet used AI tools, which leaves meaningful room for agents who choose to move early.

How Agents Rate AI’s Business Impact

30. 17% of Realtors report a significantly positive AI impact

Seventeen percent of Realtors said AI had produced a significantly positive impact on their business.

31. 33% of Realtors report a moderately positive AI impact

Thirty-three percent of Realtors said AI had produced a moderately positive impact on their business. Together, 50% reported either a significantly or moderately positive impact.

32. 46% of Realtors report no noticeable AI impact yet

Forty-six percent of Realtors said AI had not yet produced a noticeable business impact, a reminder that outcomes depend on implementation, not on access alone.

AI-Powered Insight and Property Performance

33. The Presence Platform learns from more than 15 billion data points a year

The Presence Platform’s intelligence layer processes more than 15 billion data points each year, a depth of industry-specific data that connects AI to real estate-specific context and workflows.

34. AppFolio’s Realm-X users recorded a 2.8% NOI increase

AppFolio reports that surveyed users recorded a 2.8% increase in NOI. This is a vendor-reported result from an August 2025 survey of Realm-X users, not an industry average.

Practical AI tools for real estate professionals

Vendor-Reported Property Management Outcomes

The right tools remove busywork without demanding technical skill. Luxury Presence runs your marketing across SEO & GEO, Social Media Management (Beta), and Paid Ads Management, calibrated to your brand, with what is included in each tier shown on the plans page. On the property-management side, several vendor-reported results illustrate what focused AI can do.

35. AppFolio’s Realm-X users saved about 12.5 hours a week

AppFolio reports that surveyed users saved an average of 12.5 hours per week, a vendor-reported result from its August 2025 Realm-X user survey.

36. AppFolio’s Realm-X users filled units 5.2 days faster

AppFolio reports that surveyed users of Realm-X Flows for Lead Nurturing filled vacant units 5.2 days faster, shortening one of the most expensive gaps in property management.

37. AppFolio’s Realm-X users cut unit-turn time by 1.2 days

AppFolio reports that surveyed users of Realm-X Flows for Unit Turn reduced unit-turn time by 1.2 days.

38. AppFolio’s AI-agent users saved about 10 hours a week

AppFolio reported that its AI-agent users saved an average of 10 hours per week. This vendor-reported figure comes from a June 2025 release whose footnote combines Realm-X surveys conducted in September 2024, October 2024, and February 2025.

39. 95% of AppFolio’s Realm-X users saw benefits within weeks

AppFolio reports that surveyed Realm-X users, 95% of them, saw benefits within weeks. When a tool is well integrated into daily work, adoption tends to follow.

What the Data Says About Client Engagement

Consistent follow-up is where deals are won or lost. Luxury Presence’s AI Lead Nurture is included on Scale and All In, with 200 conversations per month on Scale and 500 per month on All In. It is also available as an add-on on Brand, keeping every lead engaged without adding to your day.

40. 47% of surveyed occupiers hit two or three AI goals

JLL found that 47% of surveyed corporate real estate occupiers had achieved two or three of their AI program goals, a reminder that partial wins are far more common than complete ones.

41. 87% of surveyed organizations raised tech budgets because of AI

Eighty-seven percent of JLL’s surveyed organizations said their technology budgets had increased because of AI, signaling durable investment even as results mature.

42. Five of the top six investor AI objectives were tied to growth and competitive positioning

JLL found that five of the six leading objectives behind current investor AI programs were directly related to revenue generation, growth opportunities, and competitive positioning rather than cost reduction alone.

Top AI tools Realtors are actually using

What Agents Reach For First

When agents do use AI, most start with general-purpose assistants, then layer in purpose-built real estate tools for the work that matters most.

43. 58% of survey respondents had used ChatGPT

In NAR’s 2025 survey, 58% of survey respondents had used ChatGPT, making it the most common entry point.

44. 20% of survey respondents had used Google Gemini

Twenty percent of survey respondents had used Google Gemini.

45. 15% of survey respondents had used Microsoft Copilot

Fifteen percent of survey respondents had used Microsoft Copilot, often inside the productivity tools they already work in.

Where real estate AI outcomes are landing

Vendor-Reported Results and Platform Scale

Staying visible after the close is its own growth engine. Listing Alerts & Homeowner Reports keeps you top of mind with branded valuations, equity tracking, comparable sales, neighborhood activity, and monthly updates that nurture future listings.

46. AppFolio reported a 20% average increase in renewal rates among Realm-X Flows users

In an August 2025 survey, AppFolio reported that renewal rates increased by 20% on average after surveyed customers implemented Realm-X Flows. This is a vendor-reported customer result, not an industry-wide benchmark.

47. The Presence Platform processes more than 700 million interactions each year

Luxury Presence reports that the Presence Platform processes more than 700 million interactions annually, alongside more than 15 billion data points a year. That first-party real estate activity helps power a connected intelligence layer across websites, marketing, CRM, and client collaboration.

Implementation priorities for real estate professionals

The statistics make the case clear: AI is becoming a standard competitive capability, although measurable outcomes remain uneven. They also show that access to software is not what separates the winners. JLL found that only 5% of surveyed occupiers had achieved all their AI goals, and the organizations pulling ahead tend to get three things right:

Industry-specific training data. General-purpose AI tools are not inherently connected to an agent’s MLS data, CRM history, local market context, or operating workflows. Industry-specific data can improve relevance, provided the data is current, governed, and integrated into the workflow.

Human expertise in the loop. The best AI systems combine machine speed with human quality control. Agents review and approve AI-generated content, keeping brand consistency while removing the routine work.

Integrated platforms over point solutions. Agents using disconnected tools spend time managing technology instead of clients. Integrated platforms can reduce duplicate data entry, fragmented signals, and handoffs between disconnected tools.

Collaborative Search reflects this approach, combining property search, client engagement, and messaging in one branded experience that keeps you visible long after a deal closes. You can see what each tier includes on the plans page.

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About the author

Katherine Evans

Kate Evans is a content marketing strategist at Luxury Presence, the leading growth platform for high-performing real estate professionals. She develops data-driven editorial content and supports SEO strategy and brand voice frameworks that help agents attract qualified leads and establish market authority. Her published work covers topics including CRM strategy, social media marketing, and digital growth, supporting thousands of agents in scaling their businesses through modern marketing.

See all posts by Katherine Evans

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