Category
Tech
Delegated Interfaces
Trend cluster
Category
Predictive
Property
Millennial consumers streamline real estate with predictive applications.
3.5
Trend score
Trend
What is the Predictive Property trend?
Predictive Property: As millennials begin to start families, they're becoming more interested in purchasing rather than renting a home. The path to purchase for millennials, however, has evolved to be more tech-focused. Whether it's mobile apps that apply human expertise in a systematic way, or predictive systems that offer insight into pricing models, these offerings speak to the ways technology is ensuring big-ticket purchase decisions are more data-driven, and therefore, more reliable.
Trend themes
Themes within the Predictive Property trend
Three behaviours holding the trend together01
Predictive Applications
Applications that leverage predictive systems to offer insight into pricing models and streamline big-ticket purchase decisions.
02
Artificial Intelligence
Software that uses artificial intelligence and machine learning to predict housing prices, determine accurate prediction models, and create formulas accordingly.
03
On-Demand Realtor Apps
Apps that connect buyers with real estate agents anywhere in the world to provide professional advice 24/7.
Industry implications
What the Predictive Property trend means for industry
Where the trend changes the playbookFor
Real Estate
Real estate professionals can leverage these trends to enhance their services and streamline the buying experience.
For
Technology
Tech companies can develop innovative platforms and tools that incorporate predictive analytics, AI and on-demand services to drive industry growth and enhance customer experiences.
For
Big Data
Companies can leverage big data to optimize real estate marketing strategies and better understand buyer preferences and behaviors.
Workshop question
How can you assist consumers in their pursuit to research purchases?
Trend signals
Trend signals for Predictive Property
Trend score 3.5 out of 10, from popularity 61%, activity 36%, freshness 8%.
Popularity61%
Activity36%
Freshness8%
Audience
50%Men
50%Women
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer (not a primary audience)
Market
North America
Europe
Asia-Pacific
Evidence
Examples of the Predictive Property trend
4 featured examples from Mar 12 to Oct 16, 2015CategoryWorld
Robotic Real Estate Agents
This Real Estate Software Uses Artificial Intelligence to Predict Price
The real estate industry can benefit from the development and integration of artificial-intelligence software and robotic agents to predict housing prices, streamline processes, a…
CategoryTech
Intuitive Property Apps
CBx is a Real Estate App That Uses Big Data to Close Property Sales
There is an opportunity for real estate companies to utilize big data and innovative apps to streamline the property sales process.
CategoryTech
Real Estate Recommendation Apps
Homekeepr Gives Homeowners Tailored Expertise After Buying
Disruptive innovation opportunities in the real estate industry through the development of recommendation apps and tools for homeowner-agent collaboration.
CategoryTech
On-Demand Realtor Apps
This App Helps Connect Buyers with Real Estate Agents Anywhere in the World
The real estate industry has the opportunity to leverage on-demand apps to connect with potential buyers at any time.
