Emerging Trends to Reshape the Global AI In Real Estate Market: Technological Leap For AI In Real Estate Automation as a Key Influencer

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AI In Real Estate Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for artificial intelligence in real estate has seen significant exponential growth over the past few years. It is projected to rise from a value of $222.65 billion in 2024 to $301.58 billion in 2025, experiencing a compound annual growth rate (CAGR) of 35.5%. The growth experienced during the historical period can be credited to factors such as market analytics and forecasting, the use of chatbots and virtual assistants, property value estimation and prediction, improved property search methods, and automation in the management of properties.

AI In Real Estate Market Size Forecast: What's the Projected Valuation by 2029?
Predicted projections show that the AI in real estate market will experience significant expansion in the upcoming years. The market is anticipated to reach a valuation of $975.24 billion by 2029, exhibiting a CAGR of 34.1%. This growth during the specified forecast period is primarily due to the increased focus on data safety, customization in real estate services, analysis of market forecasts and trends, improved customer engagement, and a surge in demand for intelligent building solutions. The forecast period will also witness major trends like customized customer experiences, predictive analytics in property appraisal, improved property searches, use of virtual tours and visualisation, and automation in property management.

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What Are the Drivers Transforming the AI In Real Estate Market?
The growth of AI in the real estate market is projected to accelerate due to the increasing uptake of IoT devices. These IoT devices are physical items that possess sensors, software, and the ability to connect and share data via the internet. The real estate sector employs a combination of AI and IoT devices to handle market and leasing, predictive maintenance, utility management, and tenant experiences. For example, the State of IoT-Spring 2022 study by IoT Analytics in May 2022 highlighted that in 2021, the total number of IoT connections grew by 8%, with 12.2 billion active endpoints. It's expected that the Internet of Things sector will grow by 18% and have 14.4 billion active connections in 2022. Consequently, the escalating usage of IoT devices is fueling the expansion of AI in the real estate market.

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What Long-Term Trends Will Define the Future of the AI In Real Estate Market?
Advancements in technology is a prominent trend gaining traction in the AI in the real estate industry. To maintain their market positioning, firms in this sector are integrating new tech solutions. For instance, Restb.ai, a computer vision provider in the real estate sector based in Spain, introduced their MLS Suite for Multiple Listing Services for AI in real estate in September 2022. This suite comprises software tools aimed at updating MLSs. The AI-centric technologies were devised to help Multiple Listing Services streamline the listing entry process and ensure safety for IDX and VOW website users. Additionally, they also work on enriching and enhancing the relevance of MLS data. One of the key features is the product's AI Tagging function that enables automatic extraction of information about a property's characteristics. It also encompasses property descriptions, MLS Agent, and a compliance feature that identifies any discrepancies with MLS or association norms, such as unauthorized usage of listing images, thereby making compliance processes more efficient.

Which Segments in the AI In Real Estate Market Offer the Most Profit Potential?
The ai in real estatemarket covered in this report is segmented -

1) By Technology: Machine Learning, Natural Language Processing (NLP), Computer Vision
2) By Solution: Chatbots, Customer Behavior Analytics, Advanced Property Analysis, Customer Relationship Management (CRM), Data Analytics And Visualization, Lead Generation And Marketing, Property Management
3) By Enterprise Size: Large Enterprises, Small And Mid-sized Enterprises (SMEs)
4) By Application: Design And Plan, Construction, Promotion And Sales

Subsegments:
1) By Machine Learning: Predictive Analytics, Price Optimization, Risk Assessment, Market Trend Analysis
2) By Natural Language Processing (NLP): Chatbots For Customer Service, Sentiment Analysis, Document Analysis, Voice-Activated Search
3) By Computer Vision: Property Image Analysis, Video Surveillance And Security, Automated Property Valuation, Augmented Reality (AR) For Property Tours

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Which Firms Dominate the AI In Real Estate Market by Market Share and Revenue in 2025?
Major companies operating in the AI in real estate market include Compass Inc., Redfin Corporation, REX Real Estate, Lexalytics Inc., Microsoft Corporation, Avaamo Technologies Pvt. Ltd., CAPE Analytics LLC, CognitiveScale UK Ltd., ComplyAdvantage, Hyro Technologies Inc., Entera SAS, Oracle Corporation, SAP SE, International Business Machines Corporation, Addepto, Keyway Technologies Inc., HouseCanary Inc., TRIGIGA Inc., GeoPhy Inc., Enodo Inc., Autohost Inc., Propic AI Inc., DEXMA Inc., Skyline AI Inc., Jones Lang LaSalle Inc., Engel & Völkers AG, Zillow Group Inc., Opendoor Technologies Inc., Knock Inc., Offerpad Solutions Inc., Homelight Inc., Reali Inc., Ribbon Home Inc., Orchard Home Loans Inc.

Which Regions Offer the Highest Growth Potential in the AI In Real Estate Market?
North America was the largest region in the AI in real estate market in 2024. The regions covered in the AI in real estate market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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