AI In Real Estate Market : Technology Advancements, Industry Insights, Trends And Forecast 2032Posted by Amruta Pritam on November 19th, 2023 The AI In Real Estate Global Market Report 2023, provides comprehensive information on the ai in real estate market across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.
Learn More On The AI In Real Estate Market’s Growth: https://www.thebusinessresearchcompany.com/report/ai-in-real-estate-global-market-report The global AI in real estate market size is expected to grow from 9.91 billion in 2022 to 4.96 billion in 2023 at a compound annual growth rate (CAGR) of 37.6%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global AI in real estate market size is expected to reach 1.99 billion in 2027 at a CAGR of 35.3%. Get A Free Sample Of The Report (Includes Graphs And Tables): https://www.thebusinessresearchcompany.com/sample_request?id=10697&type=smp Technological innovations are a key trend gaining popularity in the AI in real estate market. Companies operating in the AI in real estate market are adopting new technologies to sustain their position in the market. For instance, in September 2022, Restb.ai, a Spain-based computer vision provider for real estate, launched MLS Suite for Multiple Listing Services for AI in real estate. MLS suite is a collection of software tools designed to update MLSs. The AI-powered technologies was developed to assist Multiple Listing Services in automating the listing entry process, providing security for IDX and VOW website users, and enriching and increasing the value of MLS data. It includes the product's AI Tagging function, which allows users to extract information about the attributes of a property automatically. It also includes property descriptions, MLS Agent, and compliance, which automates the identification of any MLS or association regulations violations, such as the improper use of listing images, to optimize compliance operations. The ai in real estate market 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 North America was the largest region in the ai in real estate market in 2022. The table of contents in TBRC’s ai in real estate market report includes: 1. Executive Summary 2. AI In Real Estate Market Characteristics 3. AI In Real Estate Market Trends And Strategies 4. AI In Real Estate Market - Macro Economic Scenario 5. AI In Real Estate Market Size And Growth ............ 26. Africa AI In Real Estate Market 27. AI In Real Estate Market Competitive Landscape And Company Profiles 28. Key Mergers And Acquisitions In The AI In Real Estate Market 29. AI In Real Estate Market Future Outlook and Potential Analysis 30. Appendix
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