Skip to Content
Technical Articles
Author's profile photo Ben Hartwig

The Top PropTech Trends: 4 Technologies Disrupting the Property and Real Estate Industry

Technology is taking over the world including your homes, office spaces, plus your yards. 

Long-distance buyers can have a panoramic view of a community 4000 kilometers away through drone technology. Automated and virtual reality can generate visual imagery of a building that hasn’t started construction. Looking for your ideal home is hassle-free, no house visits and long travels needed just download an app, supply information, and wait for alerts in a jiffy.

Property technology, PropTech, companies introduce technological innovations that disrupt the real estate industry, here are four of them.

Technological Security 

Commercial property management realizes the importance of security technology, it protects the property and the persons occupying the space. Buyers or renters are attracted to a well-protected building.

Security system providers deliver the building safety system and packages while Proptech companies produce innovations that will work with the present equipment security structure. 

The best security technology for your space will rely on your wants and the type, size of your property. Watching over your home during renovation is very important. Even if you trust the people and companies you hire for the work, the ability to keep an eye on things only improves your security. To know about the latest updates concerning your actions during home renovations, read Big Easy Magazine

Take a look at some well-known security features installed in buildings.

Single-family or small multi-family rentals

  • Smart doorbell camera interfaced with a PC or a smartphone so owners can monitor the activity on their home.
  • Home security structures that integrate sensor automation, camcorders, and centralized 24/7 surveillance. 

Multi-family buildings

  • Smart locks controlled by tenants that are installed at the main entry and individual units.
  • E-keys, cloud-based transient clearances for day workers, dog walkers, delivery service, and nanny to monitor the entry and exit in a home.


  • Video monitoring with improved properties that includes wide-edge, zoom, and access to cloud-stored archives.
  • Smart locks and other application regulated security features like carport access.
  • Facial access options on smart locks.

Big Data 

Big data provides a huge quantity of information that benefits real estate and property management businesses.  Sound decisions can be made by using data-driven facts.

The generated knowledge helps owners and property managers in making vital decisions such as the selling price of a residence, the property to build, and getting in touch with purchasers. Here are some perks from big data for real estate businesses.

Improved prediction and analysis

It enhances the precision of prediction and assessment in the property. Big data permits realtors to spot patterns and better anticipate when those patterns may return. Likewise, they can foresee the impacts of these patterns, which can prepare them in case the indicators appear.

Enhancement in a big data algorithm will help the business more by giving better prediction and analysis.

Precise property estimates 

Real estate agents embraced automation to modernize their assessment and client arrangement models. The fault rate for realtors utilizing AI calculations is 9%.

Conventional evaluations depend mainly on past assessments or selling costs of adjacent properties. Realtors constantly disregard amenities and upgrades that improve the value of a property. New models utilize the most recent geographic, financial, and demographic information to reduce the risk of faults when evaluating lands. Property estimation problems appear especially when the seller is not from the real estate industry. The example of this situation can be selling an inherited property.  

Well informed buyers and sellers

Whether you are a buyer or a seller of a property, big data will keep you well-informed making the process easy and simple. Redfin, Trulia, and Zillow companies integrate and gather information such as selling patterns, traffic information, and demographic data to help buyers and sellers come up with a sound decision.

Machine Learning 

Machine learning is an expanding branch of artificial intelligence (AI) that utilizes algorithms to come up with information that can help in decision-making. By digitalizing the real estate industry, employees can provide a precise recommendation based on the customer’s wants and needs.

The present practice on property websites is to post properties for disposal with plain information such as location, price, and size. AI goes beyond this, it makes it possible for sites to suggest properties set up on taste, personal traits, and values.

Chatbots on websites can answer a client’s inquiries swiftly and straightforward.

Blockchain lending technology has impacted the real estate industry in a variety of ways, including offering a new means for buyers and sellers to connect with one another. Blockchain could be used to cut intermediaries out of the real estate transaction process, thereby reducing costs.

AI can help forecast price swings more accurately that includes historical data in the market for an area. Also considered are crime rate, proximity to schools, accessibility to transportations, and market activity.

Augmented Reality 

Augmented and virtual reality in real estate tours a potential buyer to a property through their smartphones from the comfort of their homes regardless of location. 

It allows realtors to adjust slightly to a room’s style depending on the buyer’s wishes. The looks of a space can be enhanced by digitally adding some furniture and accessories.

For buildings that have not started construction, augmented reality can create probable images and walkthroughs to help potential buyers appreciate and experience the property.

Assigned tags

      Be the first to leave a comment
      You must be Logged on to comment or reply to a post.