Category
Tech
Automated Upkeep
Trend cluster
Category
AI
Discovery
Map applications are being upgraded with artificial intelligence-powered features.
4.9
Trend score
Trend
What is the AI Discovery trend?
AI Discovery: Map application developers are integrating artificial intelligence-powered features into their apps. These features improve the user's ability to locate themselves without a signal, identify nearby points of interest, and quickly access relevant data, such as weather.
Insight
The consumer insight behind the AI Discovery trend
Many people rely on their phones for a variety of convenient applications, such as messaging services, maps, or banking and payment. The developers behind these apps are recognizing the importance of their services to daily life, and are further improving the value of these apps with AI integrations.
Trend themes
Themes within the AI Discovery trend
Three behaviours holding the trend together01
AI-Enhanced Map Softwares
Google Maps announced a suite of AI-powered enhancements coming to maps, including Immersive View for routes, Lens in Maps, and Photorealistic 3D Tiles.
02
AI Discovery
Map application developers are integrating artificial intelligence-powered features into their apps, improving the user's ability to locate themselves without a signal, identify nearby points of interest, and quickly access relevant data, such as weather.
03
AI-Powered Road Models
Nexar is developing real-time digital twins of roads by leveraging AI and data science, which can boost safety, inform municipal transportation policies, and train and refine autonomous vehicles.
Industry implications
What the AI Discovery trend means for industry
Where the trend changes the playbookFor
Mapping and Navigation
The mapping and navigation industry can leverage AI integrations to enhance user experiences, improve safety measures, and provide real-time data for efficient transportation systems.
For
Travel and Tourism
The travel and tourism industry can utilize interactive travel map apps with AI to offer curated travel plans, streamline the travel experience, and provide personalized recommendations for amenities and attractions.
For
Smart Transportation
The smart transportation industry can benefit from AI-powered road models, which can enhance road safety, inform policy-making, and contribute to the development of autonomous vehicles.
Workshop question
How can your brand leverage artificial intelligence to enhance the features and functionalities of your products or services?
Trend signals
Trend signals for AI Discovery
Trend score 4.9 out of 10, from popularity 69%, activity 58%, freshness 19%.
Popularity69%
Activity58%
Freshness19%
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
South America
Evidence
Examples of the AI Discovery trend
5 featured examples from May 10, 2022 to Nov 13, 2023CategoryWorld
Interactive Travel Map Apps
The 'Proxi' Travel App Offers Curated Travel Plans and More
The 'Proxi' app is an example of how technology can transform the way we plan and experience travel.
CategoryKeynote Trends
Playful AI Travel Planner
Triplay is the Brainchild of Technology and Travel Enthusiasts
Triplay's user-friendly platform and AI-powered features have disruptive innovation opportunities within the travel and tourism industry, offering an improved and hassle-free way…
CategoryTech
AI-Enhanced Map Apps
The Satlas AI Application Uses Deep Learning to Clarify Visuals on Maps
The enhanced satellite imagery provided by Satlas AI can greatly improve the quality and accuracy of environmental monitoring efforts.
CategoryTech
AI-Enhanced Map Softwares
Google Maps Announced a Suite of AI-Powered Enhancements Coming to Maps
The Navigation industry can leverage AI-powered map enhancements like Immersive View for routes and Lens in Maps to provide users with enhanced navigation experiences and improved…
CategoryBusiness
AI-Powered Road Models
Nexar is Developing Real-Time Digital Twins Of Roads
Nexar's technology has a multitude of potential applications for informing municipal transportation policies and training autonomous vehicles.
