Press release
Artificial Intelligence (AI) in Real Estate Market Industry Trends, Business Revenue, Future Scope and Outlook
The real estate industry could be revolutionised and made more inventive by artificial intelligence (AI). Artificial intelligence (AI) tools are computer programmes designed to learn from and improve themselves. They can be applied to enhance and expedite intricate procedures. They improve the productivity of real estate agents like investors, asset managers, brokers, and sellers in this way. Moreover, this may result in real estate transactions being less expensive.Artificial Intelligence (AI) in Real Estate Market Report Scope and Research Methodology
Report Scope:
The comprehensive report on the Global Artificial Intelligence (AI) in Real Estate Market explores the current dynamics, market values, and forecasts for the period up to 2029. It delves into the drivers, restraints, and regional insights shaping the market landscape.
Research Methodology:
Interested parties can request a free sample report to gain insights into the research methodology employed, ensuring accuracy and reliability in data gathering and analysis.
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Artificial Intelligence (AI) in Real Estate Market Valuation:
Artificial Intelligence (AI) in Real Estate Market is expected to reach US $ 1335.89 Bn by 2029, at a CAGR of 35% during the forecast period.
Artificial Intelligence (AI) in Real Estate Market Dynamics
Artificial intelligence (AI) holds the potential to revolutionize the real estate sector, enhancing innovation and efficiency. AI tools optimize complex processes, leading to improved work step efficiency for real estate players such as sellers, brokers, asset managers, and investors.
Drivers:
Factors such as increasing adoption of IoT devices, advancements in technologies like Big Data and machine learning, and growing internet services adoption globally are driving market growth. AI's advancement in real estate is expected to automate facility management and revolutionize data organization and analysis.
Restraints:
Despite its potential benefits, real estate enterprises remain hesitant to adopt AI due to concerns regarding data privacy, cybersecurity, and a lack of technical expertise. Addressing these issues is crucial to unlocking the full potential of AI in real estate.
Artificial Intelligence (AI) in Real Estate Market Segmentation
Artificial Intelligence (AI) in Real Estate Market, by Technology
• Machine Learning
• Natural Language Processing (NLP)
• Computer Vision
Artificial Intelligence (AI) in Real Estate Market, by Solution
• Chatbots
• Customer Behaviour Analytics
• Advanced Property Analysis
• Customer Relationship Management (CRM)
• Data Analytics & Visualization
• Lead Generation and Marketing
• Property Management
In terms of solutions, chatbots accounted for 28.98% of the market in 2022 and are predicted to continue to dominate for the foreseeable future. Many real estate companies are profiting from AI-enabled chatbots, which gather client data and aid in lead creation and content marketing. A chatbot is a fantastic tool to provide leads personalised material and an excellent virtual assistant for clients. Businesses in the real estate industry are using artificial intelligence (AI) to gather, compile, and evaluate vast amounts of data in order to derive valuable consumer insights that satisfy their needs. The demand for technology will be driven by its ability to do tasks like advanced machine learning algorithms, picture, speech, and text recognition, as well as natural language processing.
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Artificial Intelligence (AI) in Real Estate Market Key Players
• Avaamo
• Baidu Inc.
• Cape Analytics
• CognitiveScale
• Comply Advantage.com
• Descartes Labs
• Digital Reasoning Inc.
• GoogleInc.
• Inbenta Technologies
• Intel Corporation
• Interaction LLC
• Ipsoft Inc.
• Lexalytics Inc.
• Microsoft Corporation
• NEXT IT
• Oracle Corporation
• Palantir
• Salesforce.com Inc.
• SAPSE
• Zest Finance
• Zillow
• Compass
• Rex.
• Redfin
• Localize
• Divvy Homes
• Apartment Ocean
• Veros.
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Table of content for the Artificial Intelligence (AI) in Real Estate Market includes:
Part 01: Executive Summary
Part 02: Scope of the Artificial Intelligence (AI) in Real Estate Market Report
Part 03: Global Artificial Intelligence (AI) in Real Estate Market Landscape
Part 04: Global Artificial Intelligence (AI) in Real Estate Market Sizing
Part 05: Global Artificial Intelligence (AI) in Real Estate Market Segmentation by Type
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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Regional Insights:
North America leads the global market, driven by major market players and individual homeowners' adoption of AI for security, energy efficiency, and cost-saving measures. APAC and Europe follow suit, with significant adoption observed in China and India, particularly in speeding up real estate transactions and enhancing marketing efficiency.
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