Emphasis on Type (Customer Relationship Management Software, and Enterprise Resource Planning Software); Deployment Mode (On-premise, and Cloud); End-Use (Architects & Engineers, Real Estates Agents, Project Managers, and Others); Applications (Residential, Commercial, and Others); Region/Country.
The Real Estate Software Market is expected to grow at a strong CAGR of x% during the forecast period 2022-2030. Owing to the increase in the adoption of digital technologies such as VR, AI, and blockchain in the real estate industry. Real estate software is generally a system that assists in managing the relationships between buyers, sellers, agents, brokers, developers, and financial institutions and also, caters to the multiple requirements of real estate agents and real estate firms. It typically involves an experienced consultant working with a client to understand their business goals, challenges, and technical requirements, and then recommending and implementing best-fit software solutions to address those needs. The real estate software helps in easy maintenance monitoring, data tracking, support and customer loyalty, reporting, and easy payments. The motive of software consulting is to improve the efficiency, productivity, and competitiveness of an organization through effective use of software technologies. Moreover, an increase in urbanization and infrastructure development activities, initiatives taken by the governments and the adoption of new technologies for various commercial and residential applications are positively impacting the market growth in this region.
Some of the major players operating in the market include Altus Group.; Autodesk Inc.; CoStar Group; Microsoft; MRI Software LLC; Oracle; RealPage, Inc.; SAP SE; Trimble Inc.; Yardi Systems, Inc.
Insights Presented in the Report
“Amongst types, the customer relationship management software segment holds the highest share of the market during the forecast period.”
Based on type, the market is segmented into customer relationship management software and enterprise resource planning software. Among these, the customer relationship management software holds the highest share of the market. As it helps in improving productivity and efficiency by accelerating routine processes and keeping customers and clients up to date about recent updates. Additionally, the rising demand for ensuring the security of sensitive information is having a positive impact on the customer relationship management software segment.
“Amongst deployment mode, the cloud segment captured the majority share of the industrial relay market in 2021.”
Based on deployment mode the market is bifurcated into on-premise and cloud. Among these, the cloud segment will withhold the maximum CAGR in the forecasted period. The rising demand for efficient management of large volumes of data and higher security standards is leading the demand of this segment. Moreover, the rapid growth in the advancements in technology is making the industry switch toward cloud technology.
“Asia Pacific holds the largest share of the Real Estate Software market in 2021.”
Asia Pacific is expected to emerge as the fastest-growing regional market owing to the rapid growth of economies and infrastructural and industrial projects. Expenditure on infrastructure development projects across countries such as India, China, Japan, and Singapore has been propelled over the years, which could favor the adoption of real estate software across the region. The huge investments rise in smart city projects by the government of growing or developing countries is further fueling the demand for this market in the region.
Real Estate Software Market Report Coverage
Reasons to buy this report:
Customization Options:
The global Real Estate Software market can further be customized as per the requirement or any other market segment. Besides this, UMI understands that you may have your own business needs, hence feel free to contact us to get a report that completely suits your requirements.
1. Market Introduction
2. Research Methodology Or Assumption
3. Market Synopsis
4. Executive Summary
5. Global Real Estate Software Market Covid-19 Impact
6. Global Real Estate Software Market Revenue, 2020-2030f
7. Market Insights By Type
8. Market Insights By Deployment Mode
9. Market Insights By End-use
10. Market Insights By Applications
11. Market Insights By Region
12. Real Estate Software Market Dynamics
13. Real Estate Software Market Opportunities
14. Real Estate Software Market Trends
15. Demand And Supply-side Analysis
16. Value Chain Analysis
17. Pricing Analysis
18. Strategic Insights
19. Competitive Scenario
20. Company Profiled
21. Disclaimer
Research Methodology for the Real Estate Software Market Analysis (2022-2030)
Analyzing the historical market, estimating the current market, and forecasting the future market of the global Real Estate Software market were the three major steps undertaken to create and analyze the adoption of Real Estate Software in major regions globally. Exhaustive secondary research was conducted to collect the historical market numbers and estimate the current market size. Secondly, to validate these insights, numerous findings and assumptions were taken into consideration. Moreover, exhaustive primary interviews were also conducted, with industry experts across the value chain of the global Real Estate Software market. Post assumption and validation of market numbers through primary interviews, we employed a top-down/bottom-up approach to forecasting the complete market size. Thereafter, market breakdown and data triangulation methods were adopted to estimate and analyze the market size of segments and sub-segments of the industry pertains to. Detailed methodology is explained below:
Analysis of Historical Market Size
Step 1: In-Depth Study of Secondary Sources:
Detail secondary study was conducted to obtain the historical market size of the Real Estate Software market through company internal sources such as annual reports & financial statements, performance presentations, press releases, etc., and external sources including journals, news & articles, government publications, competitor publications, sector reports, third-party database, and other credible publications.
Step 2: Market Segmentation:
After obtaining the historical market size of the Real Estate Software market, we conducted a detailed secondary analysis to gather historical market insights and share for different segments & sub-segments for major regions. Major segments are included in the report as type, deployment mode, end-use, applications . Further country-level analyses were conducted to evaluate the overall adoption of testing models in that region.
Step 3: Factor Analysis:
After acquiring the historical market size of different segments and sub-segments, we conducted a detailed factor analysis to estimate the current market size of the Real Estate Software market. Further, we conducted factor analysis using dependent and independent variables such as type, deployment mode, end-use, and applications of the Real Estate Software market. A thorough analysis was conducted of demand and supply-side scenarios considering top partnerships, mergers and acquisitions, business expansion, and product launches in the Real Estate Software market sector across the globe.
Current Market Size Estimate & Forecast
Current Market Sizing: Based on actionable insights from the above 3 steps, we arrived at the current market size, key players in the global Real Estate Software market, and market shares of the segments. All the required percentage shares split and market breakdowns were determined using the above-mentioned secondary approach and were verified through primary interviews.
Estimation & Forecasting: For market estimation and forecast, weights were assigned to different factors including drivers & trends, restraints, and opportunities available for the stakeholders. After analyzing these factors, relevant forecasting techniques i.e., the top-down/bottom-up approach were applied to arrive at the market forecast for 2028 for different segments and sub-segments across the major markets globally. The research methodology adopted to estimate the market size encompasses:
Market Size and Share Validation
Primary Research: In-depth interviews were conducted with the Key Opinion Leaders (KOLs) including Top Level Executives (CXO/VPs, Sales Head, Marketing Head, Operational Head, Regional Head, Country Head, etc.) across major regions. Primary research findings were then summarized, and statistical analysis was performed to prove the stated hypothesis. Inputs from primary research were consolidated with secondary findings, hence turning information into actionable insights.
Split of Primary Participants in Different Regions
Market Engineering
The data triangulation technique was employed to complete the overall market estimation and to arrive at precise statistical numbers for each segment and sub-segment of the global Real Estate Software market. Data was split into several segments & sub-segments post studying various parameters and trends in the areas of the type, deployment mode, end-use, and applications in the global Real Estate Software market.
The main objective of the Global Real Estate Software Market Study
The current & future market trends of the global Real Estate Software market were pinpointed in the study. Investors can gain strategic insights to base their discretion for investments on the qualitative and quantitative analysis performed in the study. Current and future market trends determined the overall attractiveness of the market at a regional level, providing a platform for the industrial participant to exploit the untapped market to benefit from a first-mover advantage. Other quantitative goals of the studies include:
Customers who bought this item also bought
Emotion Detection and Recognition Market: Current Analysis and Forecast (2021-2027)
Emphasis on Technology (Feature Extraction & 3D Modeling, Biosensors, Natural Learning Processing (NLP), and Others); Software Tools (Facial Expression & Emotion Recognition, Gesture & Posture Recognition, Voice Recognition); Application Area (Marketing & Advertising, Law Enforcement, Surveillance & Monitoring, Entertainment & Consumer Electronics, Others); Region/Country.
November 15, 2022
Generative AI Cybersecurity Market: Current Analysis and Forecast (2024-2032)
Emphasis on Deployment (On-Premise, Cloud-Based, Hybrid); Technology (Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Others); Application (Network Security, Endpoint Security, Cloud Security, Application Security, Others); End-User (Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail, IT & Telecom, Government and Defense, Energy and Utilities, and Others); and Region/Country
November 4, 2024
