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AI Is Driving Younger Buyers Into Dubai's Property Market

A new fäm Properties report shows the average buyer age has fallen by a decade in eight years, as AI platforms reshape how a new generation invests in Dubai real estate.

AI Is Driving Younger Buyers Into Dubai's Property Market
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By DUBAI2 min read
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  • 1The average age of Dubai off-plan property buyers dropped from 54 to 44 over eight years, while the resale buyer average fell from 53 to 42, according to a fäm Properties report.
  • 2Buyers aged 36–45 account for 40% of off-plan sales and 44% of resale transactions in Dubai's current market.
  • 3The 21–25 age bracket saw the sharpest growth: off-plan acquisitions rose 38.6% and resale purchases climbed 33.3% year-on-year.
  • 4The 26–30 age group recorded the highest year-on-year resale growth at 31.9%.
  • 5AI-powered platform DXBinteract is credited with enabling younger, tech-savvy buyers to analyse market trends and make faster, more informed property decisions.

Artificial intelligence is pulling a younger generation of investors into Dubai's property market — and the numbers from a new industry report make that shift impossible to ignore.

A detailed analysis by fäm Properties, drawn from the AI-enabled platform DXBinteract, shows the average age of Dubai property buyers has dropped significantly over the past eight years. In the off-plan sector, the average buyer age fell from 54 to 44. In the ready or resale market, it declined from 53 to 42.

Who Is Buying Dubai Property in 2025

Buyers aged 36–45 now dominate the market, accounting for 40% of off-plan sales and 44% of resale transactions. Within that bracket, the 41–45 cohort leads off-plan volumes at 21%, closely followed by the 36–40 group at 19%. In the resale market, the 36–40 segment tops the table at 23% of all deals, with 41–45 close behind at 21%.

The trend extends well down the age curve. The 21–25 age group increased its off-plan acquisitions by 38.6% and its resale purchases by 33.3% compared with the previous year. Buyers aged 26–30 recorded the highest year-on-year resale growth of any age bracket, at 31.9%.

How AI Is Changing the Dubai Real Estate Game

Firas Al Msaddi, CEO of fäm Properties, points directly to AI as the catalyst. "Older investors in the past used experience. Today, artificial intelligence and digital technology are guiding younger, tech-savvy buyers to figure out the market and make better choices," he said.

The DXBinteract platform tracks buyer preferences, prioritises the property features that matter most to different segments, and monitors how market trends evolve over time. The result is faster, better-informed decision-making for investors, agents, and buyers alike.

Al Msaddi acknowledges that human judgment remains important for complex property decisions, but expects AI's influence across Dubai's real estate sector to grow steadily.

Game Changers 2.0 Summit to Spotlight AI in Real Estate

The findings are set to take centre stage at the sold-out Game Changers 2.0 summit in Dubai. Keynote speaker Mo Gawdat, former Chief Business Officer at Google [X], will headline the event, joined on stage by Al Msaddi and Dr. Mahmood AlBurai, Senior Director of Real Estate Policies and Innovation at Dubai Land Department.

The summit, held at Coca-Cola Arena, brings together brokers, developers, and tech leaders to explore how AI, big data, and digital innovation are reshaping one of the world's most active property markets.

What This Means for Dubai's Property Sector

The demographic shift documented by fäm Properties reflects a broader global pattern: younger generations are more comfortable using data-driven tools to make major financial decisions. In Dubai's case, AI platforms are lowering the barrier to entry, giving buyers in their twenties and early thirties the market intelligence that once took decades of experience to accumulate.

With transaction volumes among younger cohorts growing at double-digit rates year-on-year, the trend shows no signs of slowing down.

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Written by

Ashik Ahmed

Reporting from Dubai — independent, on the ground, and built on local sources.