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Generative Artificial Intelligence (AI) In Real Estate Market Size Forecast: How Big Could The Market Get By 2030?
The market size for generative artificial intelligence (AI) in real estate has expanded significantly in recent years. It will grow from $0.77 billion in 2025 to $1 billion in 2026 at a compound annual growth rate (CAGR) of 30.4%. Historically, this growth has been propelled by factors including the increasing volume of digital property listings, a greater need for data-driven valuations, the expansion of smart building concepts, heightened real estate investment activity, and the implementation of property management software.
The market size for generative artificial intelligence (AI) in real estate is anticipated to witness significant expansion over the next few years. It will grow to $2.86 billion in 2030 at a compound annual growth rate (CAGR) of 29.8%. This projected growth can be attributed to the integration of generative AI platforms, the increasing demand for personalized real estate insights, the proliferation of smart city initiatives, a growing focus on energy-efficient buildings, and the wider adoption of predictive analytics. Prominent trends expected in this forecast period include AI-driven property valuation models, the application of generative design in architecture planning, sophisticated predictive real estate market forecasting, personalized property recommendation engines, and AI-enabled energy optimization within buildings.
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Generative Artificial Intelligence (AI) In Real Estate Market Demand Drivers: What’s Powering Industry Growth?
The increasing need for new buildings is anticipated to boost the expansion of the generative artificial intelligence (AI) in real estate market moving ahead. This surge in new construction projects stems from factors such as increasing populations, urban development, and the requirement for modern infrastructure and dwellings that suit evolving lifestyles and economic situations. Generative AI in the real estate sector supports construction by enhancing architectural designs, streamlining planning operations, and forecasting material requirements, resulting in more effective and economical project oversight. As an illustration, in March 2025, data from the U.S. Bureau of Labor Statistics, a US-based government agency, indicated that construction employment hit an all-time high of 8.0 million in 2023. The sector is predicted to grow by 4.7% between 2023 and 2033, surpassing general job expansion, and is expected to create approximately 380,100 new roles, totaling almost 8.4 million workers by 2033. Consequently, the heightened need for new building developments is fueling the expansion of the generative artificial intelligence (AI) in real estate market.
Generative Artificial Intelligence (AI) In Real Estate Market Segment Analysis And Revenue Potential
The generative artificial intelligence (AI) in real estate market covered in this report is segmented –
1) By Component: Services, Software Tools, Platforms
2) By Deployment Mode: Cloud-Based, On-Premises
3) By Application: Property Valuation, Building Design, Predictive Maintenance, Energy Management, Other Applications
4) By End-User: Real Estate Agents, Property Managers, Architects, Engineers, Other End-Users
Subsegments:
1) By Services: Consulting Services, Integration Services, Support and Maintenance Services, Data Analytics Services
2) By Software Tools: AI-Powered Property Valuation Tools, Predictive Analytics Software For Market Trends, AI-Based Investment Tools, Virtual Property Tours And Visualization Tools
3) By Platforms: AI-Driven Real Estate Platforms, Cloud-Based Property Management Platforms, AI-Based Real Estate Marketplaces, Real Estate CRM Platforms With AI Integration
Generative Artificial Intelligence (AI) In Real Estate Market Innovation Trends: What Developments Are Reshaping The Industry?
Major entities active within the generative artificial intelligence (AI) in real estate market are developing generative AI-powered real estate assistants. These developments aim to improve property valuation accuracy, optimize transaction processes, and enhance client engagement. A generative AI-powered real estate assistant is an advanced digital tool crafted to aid with diverse tasks across the real estate sector using artificial intelligence (AI) technologies. For instance, in June 2024, Keller Williams Realty Inc., a US-based real estate enterprise, launched KWIQ, which is a generative AI-powered real estate assistant. Its purpose is to significantly increase the productivity and efficiency of real estate agents by providing a range of tools and features. KWIQ supports agents in crafting various forms of content, including newsletters, social media posts, and listing descriptions, thereby making their marketing efforts more streamlined. This initiative is intended to empower agents to operate more intelligently and effectively, strengthening their ability to serve clients.
Generative Artificial Intelligence (AI) In Real Estate Market Key Players Shaping Industry Direction
Major companies operating in the generative artificial intelligence (AI) in real estate market are Compass Inc., Rocket Companies, Autodesk Inc., Zillow Group Inc., Yardi Systems Inc., Redfin Corporation, C3.AI Inc., Keller Williams Realty Inc., Matterport Inc., Rex Real Estate Exchange Inc., HouseCanary Inc., Roof AI Inc., SmartZip Analytics Inc., Knock, AppFolio, Altus Group, CoreLogic, OpenDoor, Zumper, Reonomy, Anyone.com, MagicDoor, Nestopa, HqO, Gridics, Cherry, Apartment Ocean, Street Group, Jitty, Nimbus Maps
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Generative Artificial Intelligence (AI) In Real Estate Market Regional Analysis: Which Geography Leads On Revenue?
North America was the largest region in the generative artificial intelligence (AI) in real estate market in 2025. The regions covered in the generative artificial intelligence (AI) in real estate market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
