Artificial intelligence is becoming an increasingly influential force in Dubai’s real estate sector, as developers, brokers, and investors turn to advanced analytics to navigate one of the world’s fastest-moving property markets.
Global momentum behind the technology is accelerating. The AI in real estate market was valued at $222.65bn in 2024 and is projected to reach $975.24bn by 2029, according to The Business Research Company’s AI in Real Estate Global Market Report 2025.
In Dubai, that growth is translating into practical adoption, as machine learning, natural language processing and computer vision are embedded into valuation, forecasting and transaction workflows.
Rather than replacing experience or instinct, AI is increasingly seen as a decision-enhancing layer. By analysing large volumes of real-time and historical data, the technology helps market participants detect shifts in demand, pricing and risk earlier than traditional methods allow, particularly in a city shaped by rapid development, tourism and population growth.
Predictive analytics sharpen valuations and investment timing
Speed has long been a defining feature of Dubai’s property market, and predictive analytics are reinforcing that advantage. AI-driven tools are now capable of modelling future price movements by combining data such as mobility patterns, planned infrastructure, buyer behaviour and upcoming supply.
This capability enables developers and investors to identify emerging locations, anticipate changes in demand and act before market sentiment fully materialises.
“AI is becoming one of the most dependable strategic tools in Dubai’s real estate landscape. When AI is paired with the data we already track, such as infrastructure investment, mobility patterns, tourism behaviour, demographic shifts and upcoming supply, we start to see market signals that previously took years to surface.”
Blagoje Antic, Chairman and CEO, DHG
He added that this earlier visibility supports more confident decision-making, particularly in a market where new districts and asset classes can evolve quickly.
From a development perspective, AI is also helping uncover patterns that may not be immediately visible through conventional analysis. Rui Liu, Chairman and Founder of LEOS Developments, said the technology is enabling a deeper understanding of how design, infrastructure and lifestyle trends intersect with demand.
“This kind of intelligence gives developers and investors a clearer, earlier view of where demand is heading, allowing us to de-risk decisions well before capital is deployed.”
Rui Liu, Chairman and Founder, LEOS Developments
Brokerages shift from execution to advisory roles
AI is also redefining the role of real estate brokerages in Dubai. Automation is increasingly handling administrative and data-intensive tasks, from lead qualification and customer insights to virtual tours and digital engagement. This shift is allowing agents to focus less on processing transactions and more on advisory value.
“The future of brokerage is not about processing transactions; it is about offering advisory strength. AI can analyse data at a scale no human team can match, but it still needs a professional who can interpret the output, decide what truly matters and translate it into clear guidance for clients.”
Blagoje Antic, Chairman and CEO, DHG
As competition intensifies, the differentiator for brokers is no longer access to information, but the ability to contextualise AI-driven insights and align them with individual client objectives.
Toward a more connected, data-driven ecosystem
Looking ahead, AI adoption is expected to extend beyond analytics into fully integrated platforms that connect developers, agencies and investors throughout the transaction lifecycle.
“AI will create a 360-degree collaborative ecosystem connecting developers, agencies, and investors through one transparent, data-driven platform. It will pull real-time ROI data to identify top-performing projects, locations, and developers based on delivery history and investment returns.
“By comparing prices, square-foot values, rental yields, and resale performance within the same area, AI will provide unbiased insights backed by complete transaction records.
“Developers adopting AI-driven platforms from EOI to Title Deed will automate compliance and handover, reduce 60% of manual work, and strengthen trust across the entire real estate ecosystem.”
Sukesh Govindan, CEO, TENX Properties LLC
As AI becomes more deeply embedded across valuations, advisory services and operational workflows, Dubai’s property sector is positioning itself as a leading testbed for how data-driven intelligence can support scale, transparency and long-term investment confidence in global real estate.
