The Real Estate Software Market size was USD 11.53 billion in 2023 and is expected to Reach USD 30.45 billion by 2031 and grow at a CAGR of 12.9% over the forecast period of 2024-2031.
It is an important economic sector that can have a big impact on both people and businesses. Real estate software aids in boosting corporate efficiency as it engages in activities such as social media, internet marketing, and website development, which raises the need for effective software solutions. Rapid technical advancements that can aid in overcoming the difficulties related to the openness of data and procedures are now being seen in the global real estate software market. Blockchain technology is a useful tool for the real estate industry to promote transparency at all levels of operation.
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Every record is encrypted thanks to blockchain technology, which also makes ledgers impenetrable to hackers. Moreover, payments made in real estate transactions can now be received instantly, even after business hours, thanks to blockchain technology. Additionally, businesses are being compelled to adopt a variety of software solutions and increase customer retention due to the requirement for better data management techniques and sensitive data protection. The residential property market transactswith regards to purchasing, selling, and renting houses, condos, and flats.
This market is influenced by variables like population growth, interest rates, housing demand, and housing supply. It's vital to remember that numerous economic and demographic factors might cause changes in the home market. For individuals and institutional investors looking for long-term development potential and prospective rental income, real estate can be an alluring investment choice. A well-liked method of investing in real estate without actually owning any properties is through real estate investment trusts.Leading providers of real estate software are embracing different technologies to better cater to the demands of their consumers. The market is anticipated to rise as a result of virtualization and the use of Virtual Reality, which can enable consumers buy products from a distance, save time and money, and engage users more. Furthermore, businesses are now able to automate time-consuming processes thanks to artificial intelligence and machine learning, which improves return on investment.Workflow can be accelerated by using real estate software to automate a variety of procedures or operations. By keeping an eye on the various real estate software modules, collecting data on leads, managing staff dashboards, and keeping track of order-related financial information, internal departments like sales and marketing, finance, and top management may better understand the customer journey.
KEY DRIVERS
Development of the Commercial Real Estate sector
Increased digitization of real estate businesses, improvements in automation technologies, rising demand for efficient software tools
The demand for real estate software solutions is being driven by the growth of the commercial real estate sector. In order to manage their properties, leases, and other aspects of commercial real estate, businesses are looking for software tools.
RESTRAIN
Complexity of real estate software solutions
Real estate software solutions can be complex to implement and use. This can be a barrier to adoption for businesses that do not have the technical expertise to implement and use real estate software solutions.
OPPORTUNITY
Property management software is in high demand in the real estate industry
The adoption of VR and AI technologies is gaining traction in the real estate market, with businesses looking for ways to improve property management
As companies explore for methods to simplify operations like rent collection, repair requests, and lease administration. This gives software companies the chance to produce effective and user-friendly property management systems.
CHALLENGES
The market is expected to face a heavy challenge from the increasing popularity of open-source real estate management software.
On the internet, open-source software is publicly accessible and simple to download. Instead of purchasing software, users might choose open-source alternatives. In addition to being transparent since the source code is available, open-source software has cost advantages and is scalable, both of which are profitable for end users.
The Russian-Ukraine war has had a significant impact on the real estate software market, with some companies seeing a decline in growth and revenue.The Russian economy is expected to contract by 10% in 2022, which will have a significant impact on the demand for real estate software in India. This is because many Russian companies have been sanctioned by the West, and they are not able to do business with Indian companies. The war has disrupted supply chains, which has made it difficult for real estate software companies to get the components they need to produce their products. The war has led to an increase in cyber-attacks, which has made it more difficult for real estate software companies to operate. For Eg. Realogy, the parent company of Century 21 and Coldwell Banker, has seen its stock price decline by 30% since the start of the war. Redfin, a real estate brokerage company, has seen its revenue decline by 15% since the start of the war.
IMPACT OF ONGOING RECESSION
The decline in home demand caused by the recession has impacted the real estate software business. This is because real estate software is used by real estate agents and brokers to market and sell homes. Real estate software becomes less required when housing demand is lower. The real estate software sector has suffered as a result of the recession's increase in unemployment. Because unemployed people are less inclined to purchase properties, there is less need for real estate software. Since the recession began, Prop Tiger, a real estate portal, has suffered a 10% reduction in revenue. Another real estate website, Magic Bricks, has experiencedrevenue decline by 5% since the start of the recession. HDFC Housing Finance, a mortgage lender, has seen its stock price decline by 15% since the start of the recession. This is because the recession has led to an increase in defaults on mortgages, which has made it more difficult for the company to make money.
By Type
Contract Software
Customer Relationship Management Software
By Application
Commercial
Residential
By Deployment
Cloud
On-premise
By End-Use
Architects
Engineers
Project Managers
Real Estate Agents
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North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSIS
In 2022, North America accounted for 34.08% of the target market in terms of market share. The adoption of innovative technologies for a variety of commercial and residential applications, as well as increased urbanization and infrastructure construction activities, are all contributing to the market growth in this area.The United States is the largest real estate market in North America.The real estate market in Canada is also growing, but at a slower pace than the real estate market in the United States.The real estate market in Mexico is growing, but it is still smaller than the real estate markets in the United States and Canada.The interest rates in North America are at a record low, which is making it more affordable to buy a home. The North American economy is growing, and this is creating jobs and increasing household incomes, which is leading to more people being able to afford to buy a home.
Asia Pacific is anticipated to grow as the fastest-developing regional market at a CAGR of 13.7%. Asia Pacific is expected to emerge as the fastest-growing regional market over the forecast period. China is the largest real estate market in APAC. The real estate markets in other APAC countries, such as Japan, South Korea, and Australia, are also growing, but at a slower pace than the real estate markets in China and India. The APAC region is urbanizing at a rapid pace, and this is driving the demand for housing. The middle class in APAC is growing rapidly, and this is creating more demand for housing. There is a significant investment in infrastructure in APAC, and this is creating more demand for commercial real estate. The real estate market in APAC is not as transparent as the real estate market in North America. This can make it difficult for investors to assess the risks and opportunities in the market. Some countries in APAC are politically unstable, which can make it difficult for investors to invest in the real estate market. Despite these challenges, the APAC real estate market is expected to grow in the coming years
The major players are Accruent, Altus Group Ltd., Autodesk Inc., CoStar Realty Information Inc., Microsoft Corporation, MRI Software LLC, Oracle Corporation, RealPage Inc., SAP SE, SMR Group, Trimble Inc., Yardi Systems Inc. and other players.
RealPage Inc: In January 2023, RealPage Inc. acquired Arrived Homes, a proptech company that provides a platform for homeowners to rent out their homes. The acquisition will allow RealPage to expand its offerings to homeowners and property managers.
SAP SE: In February 2023, SAP SE announced the development of a new product called SAP Real Estate Cloud. SAP Real Estate Cloud is a cloud-based platform that provides real estate companies with a single view of their properties and tenants. The platform also includes features for managing maintenance requests, leasing, and accounting.
SAP SE: In January 2023, SAP SE acquired Taulia, a cloud-based supplier financing company. The acquisition will allow SAP to expand its offerings to businesses by providing them with a way to finance their purchases from suppliers.
| Report Attributes | Details |
| Market Size in 2023 | US$ 11.53 Bn |
| Market Size by 2031 | US$ 30.45 Bn |
| CAGR | CAGR of 12.9% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (Contract Software, Customer Relationship Management Software) • By Type (Commercial, Residential) • By Deployment (Cloud, On-premise) • By End-use (Architects, Engineers, Project Managers, Real Estate Agents) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Accruent, Altus Group Ltd., Autodesk Inc., CoStar Realty Information Inc., Microsoft Corporation, MRI Software LLC, Oracle Corporation, RealPage Inc., SAP SE, SMR Group, Trimble Inc., Yardi Systems Inc. |
| Key Drivers | • Development of the Commercial Real Estate sector • Increased digitization of real estate businesses, improvements in automation technologies, rising demand for efficient software tools |
| Market Restraints | • Complexity of real estate software solutions |
Ans. The Compound Annual Growth rate forReal estate Software Market over the forecast period is13 %.
Ans. USD 27.1Billion is the projected Real estate Software Market size of the Company by 2030.
Ans.Increasing Demand for Affordable Housing, Rising Home Prices, shift toward Suburban and Rural Areas, Stricter Mortgage Regulations, Low Housing Inventory, Technology and Real Estate, Market Uncertainty, these trends are vary depending on the location and specific market conditions.
Ans.Technological innovations are transforming the real estate market, making it more efficient, accessible, and convenient for buyers, sellers, and industry professionals.
Ans.SmartRent, Homeward, Snapdocs, EasyKnock, Rhino, Own Up, Zumper, No Broker,Fly Homes, these are some examples of real estate technology start-ups.
TABLE OF CONTENTS
1. Introduction
1.1 Company Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8.Real estate Software Market Segmentation, by Type
8.1 Contract Software
8.2 Customer Relationship Management Software
9.Real estate Software Market Segmentation, by Application
9.1 Commercial
9.2 Residential
10. Real estate Software Market Segmentation, by Deployment
10.1 Cloud
10.2 On-premise
11. Real estate Software Market Segmentation, by End-Use
11.1 Architects,
11.2 Engineers
11.3 Project Managers
11.4 Real Estate Agents
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Real estate Software Market by Country
12.2.2North America Real estate Software Market by Type
12.2.3 North America Real estate Software Market by Application
12.2.4 North America Real estate Software Market by Deployment
12.2.5 North America Real estate Software Market by End-Use
12.2.6 USA
12.2.6.1 USA Real estate Software Market by Type
12.2.6.2 USA Real estate Software Market by Application
12.2.6.3 USA Real estate Software Market by Deployment
12.2.6.4 USA Real estate Software Market by End-Use
12.2.7 Canada
12.2.7.1 Canada Real estate Software Market by Type
12.2.7.2 Canada Real estate Software Market by Application
12.2.7.3 Canada Real estate Software Market by Deployment
12.2.7.4 Canada Real estate Software Market by End-Use
12.2.8 Mexico
12.2.8.1 Mexico Real estate Software Market by Type
12.2.8.2 Mexico Real estate Software Market by Application
12.2.8.3 Mexico Real estate Software Market by Deployment
12.2.8.4 Mexico Real estate Software Market by End-Use
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Real estate Software Market by Country
12.3.1.2 Eastern Europe Real estate Software Market by Type
12.3.1.3 Eastern Europe Real estate Software Market by Application
12.3.1.4 Eastern Europe Real estate Software Market by Deployment
12.3.1.5 Eastern Europe Real estate Software Market by End-Use
12.3.1.6 Poland
12.3.1.6.1 Poland Real estate Software Market by Type
12.3.1.6.2 Poland Real estate Software Market by Application
12.3.1.6.3 Poland Real estate Software Market by Deployment
12.3.1.6.4 Poland Real estate Software Market by End-Use
12.3.1.7 Romania
12.3.1.7.1 Romania Real estate Software Market by Type
12.3.1.7.2 Romania Real estate Software Market by Application
12.3.1.7.3 Romania Real estate Software Market by Deployment
12.3.1.7.4 Romania Real estate Software Market by End-Use
12.3.1.8 Hungary
12.3.1.8.1 Hungary Real estate Software Market by Type
12.3.1.8.2 Hungary Real estate Software Market by Application
12.3.1.8.3 Hungary Real estate Software Market by Deployment
12.3.1.8.4 Hungary Real estate Software Market by End-Use
12.3.1.9 Turkey
12.3.1.9.1 Turkey Real estate Software Market by Type
12.3.1.9.2 Turkey Real estate Software Market by Application
12.3.1.9.3 Turkey Real estate Software Market by Deployment
12.3.1.9.4 Turkey Real estate Software Market by End-Use
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Real estate Software Market by Type
12.3.1.10.2 Rest of Eastern Europe Real estate Software Market by Application
12.3.1.10.3 Rest of Eastern Europe Real estate Software Market by Deployment
12.3.1.10.4 Rest of Eastern Europe Real estate Software Market by End-Use
12.3.2 Western Europe
12.3.2.1 Western Europe Real estate Software Market by Country
12.3.2.2 Western Europe Real estate Software Market by Type
12.3.2.3 Western Europe Real estate Software Market by Application
12.3.2.4 Western Europe Real estate Software Market by Deployment
12.3.2.5 Western Europe Real estate Software Market by End-Use
12.3.2.6 Germany
12.3.2.6.1 Germany Real estate Software Market by Type
12.3.2.6.2 Germany Real estate Software Market by Application
12.3.2.6.3 Germany Real estate Software Market by Deployment
12.3.2.6.4 Germany Real estate Software Market by End-Use
12.3.2.7 France
12.3.2.7.1 France Real estate Software Market by Type
12.3.2.7.2 France Real estate Software Market by Application
12.3.2.7.3 France Real estate Software Market by Deployment
12.3.2.7.4 France Real estate Software Market by End-Use
12.3.2.8 UK
12.3.2.8.1 UK Real estate Software Market by Type
12.3.2.8.2 UK Real estate Software Market by Application
12.3.2.8.3 UK Real estate Software Market by Deployment
12.3.2.8.4 UK Real estate Software Market by End-Use
12.3.2.9 Italy
12.3.2.9.1 Italy Real estate Software Market by Type
12.3.2.9.2 Italy Real estate Software Market by Application
12.3.2.9.3 Italy Real estate Software Market by Deployment
12.3.2.9.4 Italy Real estate Software Market by End-Use
12.3.2.10 Spain
12.3.2.10.1 Spain Real estate Software Market by Type
12.3.2.10.2 Spain Real estate Software Market by Application
12.3.2.10.3 Spain Real estate Software Market by Deployment
12.3.2.10.4 Spain Real estate Software Market by End-Use
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Real estate Software Market by Type
12.3.2.11.2 Netherlands Real estate Software Market by Application
12.3.2.11.3 Netherlands Real estate Software Market by Deployment
12.3.2.11.4 Netherlands Real estate Software Market by End-Use
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Real estate Software Market by Type
12.3.2.12.2 Switzerland Real estate Software Market by Application
12.3.2.12.3 Switzerland Real estate Software Market by Deployment
12.3.2.12.4 Switzerland Real estate Software Market by End-Use
12.3.2.13 Austria
12.3.2.13.1 Austria Real estate Software Market by Type
12.3.2.13.2 Austria Real estate Software Market by Application
12.3.2.13.3 Austria Real estate Software Market by Deployment
12.3.2.13.4 Austria Real estate Software Market by End-Use
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Real estate Software Market by Type
12.3.2.14.2 Rest of Western Europe Real estate Software Market by Application
12.3.2.14.3 Rest of Western Europe Real estate Software Market by Deployment
12.3.2.14.4 Rest of Western Europe Real estate Software Market by End-Use
12.4 Asia-Pacific
12.4.1 Asia Pacific Real estate Software Market by Country
12.4.2 Asia Pacific Real estate Software Market by Type
12.4.3 Asia Pacific Real estate Software Market by Application
12.4.4 Asia Pacific Real estate Software Market by Deployment
12.4.5 Asia Pacific Real estate Software Market by End-Use
12.4.6 China
12.4.6.1 China Real estate Software Market by Type
12.4.6.2 China Real estate Software Market by Application
12.4.6.3 China Real estate Software Market by Deployment
12.4.6.4 China Real estate Software Market by End-Use
12.4.7 India
12.4.7.1 India Real estate Software Market by Type
12.4.7.2 India Real estate Software Market by Application
12.4.7.3 India Real estate Software Market by Deployment
12.4.7.4 India Real estate Software Market by End-Use
12.4.8 Japan
12.4.8.1 Japan Real estate Software Market by Type
12.4.8.2 Japan Real estate Software Market by Application
12.4.8.3 Japan Real estate Software Market by Deployment
12.4.8.4 Japan Real estate Software Market by End-Use
12.4.9 South Korea
12.4.9.1 South Korea Real estate Software Market by Type
12.4.9.2 South Korea Real estate Software Market by Application
12.4.9.3 South Korea Real estate Software Market by Deployment
12.4.9.4 South Korea Real estate Software Market by End-Use
12.4.10 Vietnam
12.4.10.1 Vietnam Real estate Software Market by Type
12.4.10.2 Vietnam Real estate Software Market by Application
12.4.10.3 Vietnam Real estate Software Market by Deployment
12.4.10.4 Vietnam Real estate Software Market by End-Use
12.4.11 Singapore
12.4.11.1 Singapore Real estate Software Market by Type
12.4.11.2 Singapore Real estate Software Market by Application
12.4.11.3 Singapore Real estate Software Market by Deployment
12.4.11.4 Singapore Real estate Software Market by End-Use
12.4.12 Australia
12.4.12.1 Australia Real estate Software Market by Type
12.4.12.2 Australia Real estate Software Market by Application
12.4.12.3 Australia Real estate Software Market by Deployment
12.4.12.4 Australia Real estate Software Market by End-Use
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Real estate Software Market by Type
12.4.13.2 Rest of Asia-Pacific APAC Real estate Software Market by Application
12.4.13.3 Rest of Asia-Pacific Real estate Software Market by Deployment
12.4.13.4 Rest of Asia-Pacific Real estate Software Market by End-Use
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Real estate Software Market by Country
12.5.1.2 Middle East Real estate Software Market by Type
12.5.1.3 Middle East Real estate Software Market by Application
12.5.1.4 Middle East Real estate Software Market by Deployment
12.5.1.5 Middle East Real estate Software Market by End-Use
12.5.1.6 UAE
12.5.1.6.1 UAE Real estate Software Market by Type
12.5.1.6.2 UAE Real estate Software Market by Application
12.5.1.6.3 UAE Real estate Software Market by Deployment
12.5.1.6.4 UAE Real estate Software Market by End-Use
12.5.1.7 Egypt
12.5.1.7.1 Egypt Real estate Software Market by Type
12.5.1.7.2 Egypt Real estate Software Market by Application
12.5.1.7.3 Egypt Real estate Software Market by Deployment
12.5.1.7.4 Egypt Real estate Software Market by End-Use
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Real estate Software Market by Type
12.5.1.8.2 Saudi Arabia Real estate Software Market by Application
12.5.1.8.3 Saudi Arabia Real estate Software Market by Deployment
12.5.1.8.4 Saudi Arabia Real estate Software Market by End-Use
12.5.1.9 Qatar
12.5.1.9.1 Qatar Real estate Software Market by Type
12.5.1.9.2 Qatar Real estate Software Market by Application
12.5.1.9.3 Qatar Real estate Software Market by Deployment
12.5.1.9.4 Qatar Real estate Software Market by End-Use
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Real estate Software Market by Type
12.5.1.10.2 Rest of Middle East Real estate Software Market by Application
12.5.1.10.3 Rest of Middle East Real estate Software Market by Deployment
12.5.1.10.4 Rest of Middle East Real estate Software Market by End-Use
12.5.2. Africa
12.5.2.1 Africa Real estate Software Market by Country
12.5.2.2 Africa Real estate Software Market by Type
12.5.2.3 Africa Real estate Software Market by Application
12.5.2.4 Africa Real estate Software Market by Deployment
12.5.2.5 Africa Real estate Software Market by End-Use
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Real estate Software Market by Type
12.5.2.6.2 Nigeria Real estate Software Market by Application
12.5.2.6.3 Nigeria Real estate Software Market by Deployment
12.5.2.6.4 Nigeria Real estate Software Market by End-Use
12.5.2.7 South Africa
12.5.2.7.1 South Africa Real estate Software Market by Type
12.5.2.7.2 South Africa Real estate Software Market by Application
12.5.2.7.3 South Africa Real estate Software Market by Deployment
12.5.2.7.4 South Africa Real estate Software Market by End-Use
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Real estate Software Market by Type
12.5.2.8.2 Rest of Africa Real estate Software Market by Application
12.5.2.8.3 Rest of Africa Real estate Software Market by Deployment
12.5.2.8.4 Rest of Africa Real estate Software Market by End-Use
12.6. Latin America
12.6.1 Latin America Real estate Software Market by Country
12.6.2 Latin America Real estate Software Market by Type
12.6.3 Latin America Real estate Software Market by Application
12.6.4 Latin America Real estate Software Market by Deployment
12.6.5 Latin America Real estate Software Market by End-Use
12.6.6 Brazil
12.6.6.1 Brazil Real estate Software Market by Type
12.6.6.2 Brazil Africa Real estate Software Market by Application
12.6.6.3 Brazil Real estate Software Market by Deployment
12.6.6.4 Brazil Real estate Software Market by End-Use
12.6.7 Argentina
12.6.7.1 Argentina Real estate Software Market by Type
12.6.7.2 Argentina Real estate Software Market by Application
12.6.7.3 Argentina Real estate Software Market by Deployment
12.6.7.4 Argentina Real estate Software Market by End-Use
12.6.8 Colombia
12.6.8.1 Colombia Real estate Software Market by Type
12.6.8.2 Colombia Real estate Software Market by Application
12.6.8.3 Colombia Real estate Software Market by Deployment
12.6.8.4 Colombia Real estate Software Market by End-Use
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Real estate Software Market by Type
12.6.9.2 Rest of Latin America Real estate Software Market by Application
12.6.9.3 Rest of Latin America Real estate Software Market by Deployment
12.6.9.4 Rest of Latin America Real estate Software Market by End-Use
13 Company profile
13.1 Accruent
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2Altus Group Ltd
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Autodesk Inc.
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 CoStar Realty Information Inc
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Microsoft Corporation
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6MRI Software LLC
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Oracle Corporation
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8RealPage Inc.
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9SAP SE
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10SMR Group
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. USE Cases and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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