We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How Big Data Has Impacted The Real Estate Industry
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > How Big Data Has Impacted The Real Estate Industry
Big DataExclusive

How Big Data Has Impacted The Real Estate Industry

Big data has impacted the real estate industry in major ways. Here's what to know about the major transformations it has caused.

Andrej Kovacevic
Andrej Kovacevic
6 Min Read
How Big Data Has Impacted The Real Estate Industry
Illustration generated with Qwen Image.
SHARE

Big data has made its way into virtually every industry. The real estate profession is no exception. Real estate professionals all over the world are benefiting from big data in a number of ways. CIO has published a very introspective article on eight companies that are using big data to disrupt the real estate industry. Here are some of the biggest benefits of big data for real estate.

Contents
  • Better Prediction and Analysis
  • Accurate Property Evaluations
  • Helping Buyers and Sellers Adjust their Behavior to Align with the Market
  • Aid Consumers with Home Prospecting
  • The Decline of Real Estate Agents
    • Big Data is Solving Countless Challenges in the Real Estate Industry

Better Prediction and Analysis

Big data improves the accuracy of predictions and analysis in real estate. Data allows real estate professionals to spot trends and better predict when those trends may reoccur. They can also anticipate the effects of these trends, which allows them to be better prepared if they reemerge.

We can also better analyze the state of the market and the mortgage industry. For example, we know that in 1980, median household incomes could only afford to spend three-quarters of the median housing cost. In 2016, household incomes rose enough for families to buy a home that was 1.5 times the median home price.

Data is helping the industry provide better analysis and predictions. They will be even better at this in the future, as big data algorithms improve further.

More Read

How Organisations Should Deal With the Big Data Knowledge Gap of Consumers
How Organisations Should Deal With the Big Data Knowledge Gap of Consumers
CBS’s Television City Redefines In-House/DIY Market Research
Use Data Analytics to Benefit from Fibonacci Retracement Levels
How A Data Mining Approach For Search Engine Optimization Works
Taking Measurement of Your Measurements

Accurate Property Evaluations

Realtors all over the country have started embracing automation to streamline their valuation and customer engagement models. The error rate for real estate professionals using AI algorithms is just 9%.

Traditional appraisals rely largely on previous appraisals or selling prices of nearby properties. But they almost invariably ignore amenities and improvements that may have added value to a home.

New models use the latest geographic, economic and demographic data to minimize the risk of mistakes when analyzing properties. Many companies now leverage powerful web scraping tools to monitor real estate prices at scale, taking data from hundreds of different websites and listing platforms. 

Helping Buyers and Sellers Adjust their Behavior to Align with the Market

Big data ensures that anybody buying or selling a property will be well-informed, which makes the entire process smoother and easier.

Companies like Redfin, Zillow, and Trulia compile and collect data (such as selling trends, traffic data and demographic information) that both buyers and sellers can use to make better decisions.

Builders can use big data to better understand the environment and local community. This helps them plan properties that reduce negative sociological impact, improve the health of residents and support energy efficiency projects.

Aid Consumers with Home Prospecting

In the future, Geographic Information Systems will play a very important role in the future of real estate prospecting. It will use geo-data to connect with customers. The system will have real-time data, which consumers can use to make more informed decisions. As it is, companies are already offering historical, which allow them to see:

  • The history of the prior occupants
  • The history of improvements made to the property
  • The average prices of similar homes in the area

The third point is one of the most important. It helps buyers make sure that they are not getting exploited by a seller that has too steep of an asking price.

The Decline of Real Estate Agents

We saw a decline in real estate agents after the financial crisis of 2008, but the crisis wasn?t the only factor that drove agents to leave the business. It?s now easier than ever for home buyers to find and view properties. Google has also made it easier for buyers to learn about the home-buying process.

According to the National Association of Realtors, 51% of home buyers found their ideal home online in 2017.

Buyers can now find all of the data they need on crime, proximity to amenities, traffic, air quality and more. All of this information is easily accessible ? without the help of a real estate agent.

Big Data is Solving Countless Challenges in the Real Estate Industry

The real estate industry has undergone a massive crisis in recent years. The 2008 financial downturn forced many real estate professionals to rethink their business models. The good news is that big data is helping them formulate more effective strategies. They can reduce their operating costs and improve their marketing strategies. Home buyers and sellers are also turning to big data to improve their own outlooks. This can have a huge impact on the future of markets all over the country.

TAGGED:big databig data in real estateindustrymachine learningreal estate
Share This Article
Facebook Pinterest LinkedIn
Share
ByAndrej Kovacevic
Follow:
Andrej is also a dedicated writer and digital evangelist. He is pursuing an ongoing mission to share the benefits of his years of hard-won expertise with business leaders and marketing professionals everywhere. He is a contributor to a wide range of technology-focused publications, where he may be found discussing everything from neural networks and natural language processing to the latest in smart home IoT devices. If there's a new and exciting technology, there's a good chance Andrej is writing about it somewhere out there.

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

data science importance of flexibility
Big DataExclusive

Why Flexibility Defines the Future of Data Science

13 Min Read
Scikit-Learn For Machine Learning Application Development In Python
ExclusiveMachine LearningOpen SourceSoftware

Scikit-Learn For Machine Learning Application Development In Python

6 Min Read
Is Machine Learning The Unspoken Secret To Gaming Success?
ExclusiveMachine Learning

Is Machine Learning The Unspoken Secret To Gaming Success?

6 Min Read
Big Data is Causing A Surge of Data Breaches - Here Are Some Solutions
Best PracticesBig DataData ManagementPrivacy

Big Data is Causing A Surge of Data Breaches – Here Are Some Solutions

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?