Global Artificial Intelligence (AI) in Real Estate Market- Forecast and Analysis (2020-2027), by Technology, by Solution, by Region.

Global Artificial Intelligence (AI) in Real Estate Market is expected to reach US $ 733 Bn by 2027, at a CAGR of 35% during the forecast period.   Global Artificial Intelligence (AI) in Real Estate Market To know about the Research Methodology :- Request Free Sample Report The report covers an in depth analysis of COVID 19 pandemic impact on Global Artificial Intelligence (AI) in Real Estate Market by region and on the key players revenue affected till April 2020 and expected short term and long term impact on the market.

Global Artificial Intelligence (AI) in Real Estate Market Dynamics:

Artificial intelligence (AI) has the potential to revolutionise the real estate sector and make it more innovative. AI tools are software solutions that are programmed to learn and optimise themselves. They can be used to improve and speed up complex processes. In this way, they serve to enhance the work step efficiency of real estate players such as sellers, brokers, asset managers and investors. Furthermore, this potentially leads to cost savings in real estate transactions. Various factors such as an increasing adoption of IoT devices and advanced technologies, such as Big Data and machine learning, growing adoption of smart devices and internet services across the globe are driving the market growth over forecast period. Experts estimate that the advance of AI in the real estate sector will increase the importance of technical solutions and affect the relevance of the human factor. In the future, artificial intelligence will in particular automate facility management, i.e. the management of real estate. It could also help to organise and analyse big data in the real estate sector. However, factors such as real estate enterprises are still reluctant to adopt the technology due to the data privacy and safety issues associated with the technology, cyber security concerns and lack of technical expertise are restraining the market growth over forecast period. Global Artificial Intelligence (AI) in Real Estate Market is segmented by Technology, Solution and by Region. By solution, Chatbots held 28.98% of market share in 2019 and is expected to keep its dominance over forecast period. AI-enabled chatbots are benefiting a lot of real estate businesses by collecting customer data and helping with improving lead generation and content marketing. A chatbots is an amazing virtual assistant for clients and a great way to deliver personalized content directly to leads. Chatbots is followed by Customer Behaviour Analytics and Advanced Property Analysis with xx% and xx% of market share respectively. Real estate enterprise are leveraging the AI to collect, report, and analyze large chunks of data to extract meaningful insights about the customers to meet their requirements. The ability of the technology to perform tasks, such as processing natural language and recognizing images, speech & text, and advanced machine learning algorithms, is a factor that will drive the demand for the technology. By geography, market is segmented into North America, APAC, Europe, MEA& Africa and Latin America. Among all of these North America is dominated the global market with xx% of market share in 2019 and is expected to keep its dominance over forecast period owing to presence of major market players. In United States individual homeowners are using AI to automate security, lighting and cooling systems. In fact, the machine learning processes imbedded in a lot of AI-powered Internet of Things devices allows for loads of energy and cost-saving potential. North America is followed by APAC and Europe. APAC is expected to hold xx% of market share over forecast period. In China and India real estate companies are adopting using AI to speed up real estate transactions by cutting in half the manual input and time required to complete them. AI also holds the promise of increased efficiency when it comes to marketing, due diligence and sales processes. The AI in Real Estate market is characterized by the presence of both multinational players and regional players. Report covers in depth analysis of key development, marketing strategies and company profiles of market leaders, potential players and new entrants. Some of the key players covered in this report are Google, Microsoft, IBM, Intel, AWS, SAP, Oracle, Salesforce, IPsoft, Palantir, Lexalytics, Inbenta technologies, Next IT, and Interaction. These key players are adopting various organic and inorganic growth strategies such as merger& acquisitions, collaborations, joint ventures, new product launches, strategic alliances, patent and diversification etc. to increase their regional presence and business opeartions. Recently Google has acquired more than 25 AI-based companies to enhance their capabilities and expand the product portfolio. Various start-ups such as Rex, Redfin, Localize, Divvy Homes, Apartment Ocean and Veros are leveraging on product innovations and fund-raising activities to gain a competitive edge. The objective of the report is to present a comprehensive analysis of the Global Artificial Intelligence (AI) in Real Estate Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Artificial Intelligence (AI) in Real Estate Market dynamics, structure by analyzing the market segments and project Global Artificial Intelligence (AI) in Real Estate Market. Clear representation of competitive analysis of key players by price, financial position, Product portfolio, growth strategies, and regional presence in the Global Artificial Intelligence (AI) in Real Estate Market make the report investor’s guide.

Scope of Global Artificial Intelligence (AI) in Real Estate Market: Inquire before buying

Global Artificial Intelligence (AI) in Real Estate Market by Technology

• Machine Learning • Natural Language Processing (NLP) • Computer Vision

Global 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

Global Artificial Intelligence (AI) in Real Estate Market by Region

• North America • APAC • Europe • MEA& Africa • Latin America

Global Artificial Intelligence (AI) in Real Estate Market Major 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.
Global Artificial Intelligence (AI) in Real Estate Market 1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Artificial Intelligence (AI) in Real Estate Market, by Market Value (US$ Bn) and Volume(Ton) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Artificial Intelligence (AI) in Real Estate Market Analysis and Forecast 6.1. Global Artificial Intelligence (AI) in Real Estate Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Artificial Intelligence (AI) in Real Estate Market Analysis and Forecast, by Technology 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 7.4. Global Artificial Intelligence (AI) in Real Estate Market Size (US$ Bn) Forecast, by Technology 7.5. Global Artificial Intelligence (AI) in Real Estate Market Analysis, by Technology 7.6. Global Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis, by Technology 8. Global Artificial Intelligence (AI) in Real Estate Market Analysis and Forecast, by Solution 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 8.4. Global Artificial Intelligence (AI) in Real Estate Market Size (US$ Bn) Forecast, by Solution 8.5. Global Artificial Intelligence (AI) in Real Estate Market Analysis, by Solution 8.6. Global Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis, by Solution 9. Global Artificial Intelligence (AI) in Real Estate Market Analysis, by Region 9.1. Global Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Region 9.2. Global Artificial Intelligence (AI) in Real Estate Market Size (US$ Bn) Forecast, by Region 9.3. Global Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis, by Region 10. North America Artificial Intelligence (AI) in Real Estate Market Analysis 10.1. Key Findings 10.2. North America Artificial Intelligence (AI) in Real Estate Market Overview 10.3. North America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 10.4. North America Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 10.4.1. Machine Learning 10.4.2. Natural Language Processing (NLP) 10.4.3. Computer Vision 10.5. North America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 10.6. North America Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 10.6.1. Chatbots 10.6.2. Customer Behaviour Analytics 10.6.3. Advanced Property Analysis 10.6.4. Customer Relationship Management (CRM) 10.6.5. Data Analytics & Visualization 10.6.6. Lead Generation and Marketing 10.6.7. Property Management 10.7. North America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Country 10.8. North America Artificial Intelligence (AI) in Real Estate Market Forecast, by Country 10.8.1. U.S. 10.8.2. Canada 10.9. North America Artificial Intelligence (AI) in Real Estate Market Analysis, by Country 10.10. U.S. Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 10.10.1. Machine Learning 10.10.2. Natural Language Processing (NLP) 10.10.3. Computer Vision 10.11. U.S. Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 10.11.1. Chatbots 10.11.2. Customer Behaviour Analytics 10.11.3. Advanced Property Analysis 10.11.4. Customer Relationship Management (CRM) 10.11.5. Data Analytics & Visualization 10.11.6. Lead Generation and Marketing 10.11.7. Property Management 10.12. Canada Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 10.12.1. Machine Learning 10.12.2. Natural Language Processing (NLP) 10.12.3. Computer Vision 10.13. Canada Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 10.13.1. Chatbots 10.13.2. Customer Behaviour Analytics 10.13.3. Advanced Property Analysis 10.13.4. Customer Relationship Management (CRM) 10.13.5. Data Analytics & Visualization 10.13.6. Lead Generation and Marketing 10.13.7. Property Management 10.14. North America Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis 10.14.1. By Technology 10.14.2. By Solution 10.15. PEST Analysis 10.16. Key Trends 10.17. Key Development 11. Europe Artificial Intelligence (AI) in Real Estate Market Analysis 11.1. Key Findings 11.2. Europe Artificial Intelligence (AI) in Real Estate Market Overview 11.3. Europe Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 11.4. Europe Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.4.1. Machine Learning 11.4.2. Natural Language Processing (NLP) 11.4.3. Computer Vision 11.5. Europe Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 11.6. Europe Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.6.1. Chatbots 11.6.2. Customer Behaviour Analytics 11.6.3. Advanced Property Analysis 11.6.4. Customer Relationship Management (CRM) 11.6.5. Data Analytics & Visualization 11.6.6. Lead Generation and Marketing 11.6.7. Property Management 11.7. Europe Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Country 11.8. Europe Artificial Intelligence (AI) in Real Estate Market Forecast, by Country 11.8.1. Germany 11.8.2. U.K. 11.8.3. France 11.8.4. Italy 11.8.5. Spain 11.8.6. Rest of Europe 11.9. Europe Artificial Intelligence (AI) in Real Estate Market Analysis, by Country 11.10. Germany Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.10.1. Machine Learning 11.10.2. Natural Language Processing (NLP) 11.10.3. Computer Vision 11.11. Germany Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.11.1. Chatbots 11.11.2. Customer Behaviour Analytics 11.11.3. Advanced Property Analysis 11.11.4. Customer Relationship Management (CRM) 11.11.5. Data Analytics & Visualization 11.11.6. Lead Generation and Marketing 11.11.7. Property Management 11.12. U.K. Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.12.1. Machine Learning 11.12.2. Natural Language Processing (NLP) 11.12.3. Computer Vision 11.13. U.K. Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.13.1. Chatbots 11.13.2. Customer Behaviour Analytics 11.13.3. Advanced Property Analysis 11.13.4. Customer Relationship Management (CRM) 11.13.5. Data Analytics & Visualization 11.13.6. Lead Generation and Marketing 11.13.7. Property Management 11.14. France Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.14.1. Machine Learning 11.14.2. Natural Language Processing (NLP) 11.14.3. Computer Vision 11.15. France Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.15.1. Chatbots 11.15.2. Customer Behaviour Analytics 11.15.3. Advanced Property Analysis 11.15.4. Customer Relationship Management (CRM) 11.15.5. Data Analytics & Visualization 11.15.6. Lead Generation and Marketing 11.15.7. Property Management 11.16. Italy Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.16.1. Machine Learning 11.16.2. Natural Language Processing (NLP) 11.16.3. Computer Vision 11.17. Italy Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.17.1. Chatbots 11.17.2. Customer Behaviour Analytics 11.17.3. Advanced Property Analysis 11.17.4. Customer Relationship Management (CRM) 11.17.5. Data Analytics & Visualization 11.17.6. Lead Generation and Marketing 11.17.7. Property Management 11.18. Spain Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.18.1. Machine Learning 11.18.2. Natural Language Processing (NLP) 11.18.3. Computer Vision 11.19. Spain Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.19.1. Chatbots 11.19.2. Customer Behaviour Analytics 11.19.3. Advanced Property Analysis 11.19.4. Customer Relationship Management (CRM) 11.19.5. Data Analytics & Visualization 11.19.6. Lead Generation and Marketing 11.19.7. Property Management 11.20. Rest of Europe Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 11.20.1. Machine Learning 11.20.2. Natural Language Processing (NLP) 11.20.3. Computer Vision 11.21. Rest of Europe Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 11.21.1. Chatbots 11.21.2. Customer Behaviour Analytics 11.21.3. Advanced Property Analysis 11.21.4. Customer Relationship Management (CRM) 11.21.5. Data Analytics & Visualization 11.21.6. Lead Generation and Marketing 11.21.7. Property Management 11.22. Europe Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis 11.22.1. By Technology 11.22.2. By Solution 11.23. PEST Analysis 11.24. Key Trends 11.25. Key Development 12. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Analysis 12.1. Key Findings 12.2. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Overview 12.3. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 12.4. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.4.1. Machine Learning 12.4.2. Natural Language Processing (NLP) 12.4.3. Computer Vision 12.5. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 12.6. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.6.1. Chatbots 12.6.2. Customer Behaviour Analytics 12.6.3. Advanced Property Analysis 12.6.4. Customer Relationship Management (CRM) 12.6.5. Data Analytics & Visualization 12.6.6. Lead Generation and Marketing 12.6.7. Property Management 12.7. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Country 12.8. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Forecast, by Country 12.8.1. China 12.8.2. India 12.8.3. Japan 12.8.4. ASEAN 12.8.5. Rest of Asia Pacific 12.9. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Analysis, by Country 12.10. China Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.10.1. Machine Learning 12.10.2. Natural Language Processing (NLP) 12.10.3. Computer Vision 12.11. China Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.11.1. Chatbots 12.11.2. Customer Behaviour Analytics 12.11.3. Advanced Property Analysis 12.11.4. Customer Relationship Management (CRM) 12.11.5. Data Analytics & Visualization 12.11.6. Lead Generation and Marketing 12.11.7. Property Management 12.12. India Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.12.1. Machine Learning 12.12.2. Natural Language Processing (NLP) 12.12.3. Computer Vision 12.13. India Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.13.1. Chatbots 12.13.2. Customer Behaviour Analytics 12.13.3. Advanced Property Analysis 12.13.4. Customer Relationship Management (CRM) 12.13.5. Data Analytics & Visualization 12.13.6. Lead Generation and Marketing 12.13.7. Property Management 12.14. Japan Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.14.1. Machine Learning 12.14.2. Natural Language Processing (NLP) 12.14.3. Computer Vision 12.15. Japan Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.15.1. Chatbots 12.15.2. Customer Behaviour Analytics 12.15.3. Advanced Property Analysis 12.15.4. Customer Relationship Management (CRM) 12.15.5. Data Analytics & Visualization 12.15.6. Lead Generation and Marketing 12.15.7. Property Management 12.16. ASEAN Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.16.1. Machine Learning 12.16.2. Natural Language Processing (NLP) 12.16.3. Computer Vision 12.17. ASEAN Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.17.1. Chatbots 12.17.2. Customer Behaviour Analytics 12.17.3. Advanced Property Analysis 12.17.4. Customer Relationship Management (CRM) 12.17.5. Data Analytics & Visualization 12.17.6. Lead Generation and Marketing 12.17.7. Property Management 12.18. Rest of Asia Pacific Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 12.18.1. Machine Learning 12.18.2. Natural Language Processing (NLP) 12.18.3. Computer Vision 12.19. Rest of Asia Pacific Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 12.19.1. Chatbots 12.19.2. Customer Behaviour Analytics 12.19.3. Advanced Property Analysis 12.19.4. Customer Relationship Management (CRM) 12.19.5. Data Analytics & Visualization 12.19.6. Lead Generation and Marketing 12.19.7. Property Management 12.20. Asia Pacific Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis 12.20.1. By Technology 12.20.2. By Solution 12.21. PEST Analysis 12.22. Key Trends 12.23. Key Development 13. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Analysis 13.1. Key Findings 13.2. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Overview 13.3. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 13.4. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 13.4.1. Machine Learning 13.4.2. Natural Language Processing (NLP) 13.4.3. Computer Vision 13.5. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 13.6. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 13.6.1. Chatbots 13.6.2. Customer Behaviour Analytics 13.6.3. Advanced Property Analysis 13.6.4. Customer Relationship Management (CRM) 13.6.5. Data Analytics & Visualization 13.6.6. Lead Generation and Marketing 13.6.7. Property Management 13.7. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Country 13.8. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Country 13.8.1. GCC 13.8.2. South Africa 13.8.3. Rest of Middle East & Africa 13.9. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Analysis, by Country 13.10. GCC Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 13.10.1. Machine Learning 13.10.2. Natural Language Processing (NLP) 13.10.3. Computer Vision 13.11. GCC Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 13.11.1. Chatbots 13.11.2. Customer Behaviour Analytics 13.11.3. Advanced Property Analysis 13.11.4. Customer Relationship Management (CRM) 13.11.5. Data Analytics & Visualization 13.11.6. Lead Generation and Marketing 13.11.7. Property Management 13.12. South Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 13.12.1. Machine Learning 13.12.2. Natural Language Processing (NLP) 13.12.3. Computer Vision 13.13. South Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 13.13.1. Chatbots 13.13.2. Customer Behaviour Analytics 13.13.3. Advanced Property Analysis 13.13.4. Customer Relationship Management (CRM) 13.13.5. Data Analytics & Visualization 13.13.6. Lead Generation and Marketing 13.13.7. Property Management 13.14. Rest of Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 13.14.1. Machine Learning 13.14.2. Natural Language Processing (NLP) 13.14.3. Computer Vision 13.15. Rest of Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 13.15.1. Chatbots 13.15.2. Customer Behaviour Analytics 13.15.3. Advanced Property Analysis 13.15.4. Customer Relationship Management (CRM) 13.15.5. Data Analytics & Visualization 13.15.6. Lead Generation and Marketing 13.15.7. Property Management 13.16. Middle East & Africa Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis 13.16.1. By Technology 13.16.2. By Solution 13.17. PEST Analysis 13.18. Key Trends 13.19. Key Development 14. South America Artificial Intelligence (AI) in Real Estate Market Analysis 14.1. Key Findings 14.2. South America Artificial Intelligence (AI) in Real Estate Market Overview 14.3. South America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Technology 14.4. South America Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 14.4.1. Machine Learning 14.4.2. Natural Language Processing (NLP) 14.4.3. Computer Vision 14.5. South America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Solution 14.6. South America Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 14.6.1. Chatbots 14.6.2. Customer Behaviour Analytics 14.6.3. Advanced Property Analysis 14.6.4. Customer Relationship Management (CRM) 14.6.5. Data Analytics & Visualization 14.6.6. Lead Generation and Marketing 14.6.7. Property Management 14.7. South America Artificial Intelligence (AI) in Real Estate Market Value Share Analysis, by Country 14.8. South America Artificial Intelligence (AI) in Real Estate Market Forecast, by Country 14.8.1. Brazil 14.8.2. Mexico 14.8.3. Rest of South America 14.9. South America Artificial Intelligence (AI) in Real Estate Market Analysis, by Country 14.10. Brazil Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 14.10.1. Machine Learning 14.10.2. Natural Language Processing (NLP) 14.10.3. Computer Vision 14.11. Brazil Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 14.11.1. Chatbots 14.11.2. Customer Behaviour Analytics 14.11.3. Advanced Property Analysis 14.11.4. Customer Relationship Management (CRM) 14.11.5. Data Analytics & Visualization 14.11.6. Lead Generation and Marketing 14.11.7. Property Management 14.12. Mexico Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 14.12.1. Machine Learning 14.12.2. Natural Language Processing (NLP) 14.12.3. Computer Vision 14.13. Mexico Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 14.13.1. Chatbots 14.13.2. Customer Behaviour Analytics 14.13.3. Advanced Property Analysis 14.13.4. Customer Relationship Management (CRM) 14.13.5. Data Analytics & Visualization 14.13.6. Lead Generation and Marketing 14.13.7. Property Management 14.14. Rest of South America Artificial Intelligence (AI) in Real Estate Market Forecast, by Technology 14.14.1. Machine Learning 14.14.2. Natural Language Processing (NLP) 14.14.3. Computer Vision 14.15. Rest of South America Artificial Intelligence (AI) in Real Estate Market Forecast, by Solution 14.15.1. Chatbots 14.15.2. Customer Behaviour Analytics 14.15.3. Advanced Property Analysis 14.15.4. Customer Relationship Management (CRM) 14.15.5. Data Analytics & Visualization 14.15.6. Lead Generation and Marketing 14.15.7. Property Management 14.16. South America Artificial Intelligence (AI) in Real Estate Market Attractiveness Analysis 14.16.1. By Technology 14.16.2. By Solution 14.17. PEST Analysis 14.18. Key Trends 14.19. Key Development 15. Company Profiles 15.1. Market Share Analysis, by Company 15.2. Competition Matrix 15.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 15.2.2. New Product Launches and Product Enhancements 15.2.3. Market Consolidation 15.2.3.1. M&A by Regions, Investment and Applications 15.2.3.2. M&A Key Players, Forward Integration and Backward Integration 15.3. Company Profiles: Key Players 15.3.1. Baidu Inc. 15.3.1.1. Company Overview 15.3.1.2. Financial Overview 15.3.1.3. Product Portfolio 15.3.1.4. Business Strategy 15.3.1.5. Recent Developments 15.3.1.6. Company Footprint 15.3.2. Cape Analytics 15.3.3. CognitiveScale 15.3.4. Comply Advantage.com 15.3.5. Descartes Labs 15.3.6. Digital Reasoning Inc. 15.3.7. GoogleInc. 15.3.8. Inbenta Technologies 15.3.9. Intel Corporation 15.3.10. Interaction LLC 15.3.11. Ipsoft Inc. 15.3.12. Lexalytics Inc. 15.3.13. Microsoft Corporation 15.3.14. NEXT IT 15.3.15. Oracle Corporation 15.3.16. Palantir 15.3.17. Salesforce.com Inc. 15.3.18. SAPSE 15.3.19. Zest Finance 15.3.20. Zillow 15.3.21. Compass 15.3.22. Rex. 15.3.23. Redfin 15.3.24. Localize 15.3.25. Divvy Homes 15.3.26. Apartment Ocean 15.3.27. Veros.

About This Report

Report ID 63027
Category Information Technology & Telecommunication
Published Date May 2020
Updated Date April 2021
Contact Us