Racing Homage
Connected
Accessory
Consumers seek startup products that enable smart car technology.
Trend
What is the Connected Accessory trend?
Connected Accessory: As brands begin launching market-ready smart vehicles, many consumers are opting for after-market tech accessories that enable the same smart technology available in top of the line models. Such innovative vehicle add-ons are a cost-efficient way for consumers to both improve on the capabilities of the vehicle they already own and as a means of testing out the functionality of the features. In addition to highlighting the influence of the Internet of Things, this shift indicates that what is considered "fundamental" in terms of technology is continually evolving.
Trend themes
Themes within the Connected Accessory trend
Three behaviours holding the trend togetherAftermarket Smart Tech Accessories
Consumers are opting for after-market tech accessories that enable the same smart technology available in top of the line models, which represents an opportunity to innovate smart tech add-ons for cars that can be market-ready or upgraded.
The Internet of Things in Automotive
The IoTA is influencing how consumers relate to their vehicles, and this represents an opportunity to create new products and services in the intersection of technology and automotives.
AI & Machine Learning for Energy-Efficient Cars
The use of AI and machine learning is a disruptive innovation that can optimize energy-management systems that are key components of plug-in hybrid electric vehicles.
Industry implications
What the Connected Accessory trend means for industry
Where the trend changes the playbookSmart Tech Accessories
Startups can create smart tech add-ons for cars that can be market-ready or upgraded, which represents an opportunity for the technology and automotive industries.
Energy Management Systems
The automotive and technology industries can disrupt the market by developing energy-management systems that use machine learning and optimized software.
Vehicle Speech Recognition
Capio's speech recognition system has a range of applications in call centers, robotics, home automation, as well as the automotive industry, which represents an opportunity for tech startups to integrate this type of technology into their products and services.
Workshop question
Is there a technology function missing from your product that might simplify the consumer's life?
Trend signals
Trend signals for Connected Accessory
Trend score 3.2 out of 10, from popularity 48%, activity 39%, freshness 8%.
- Gen Alpha (not a primary audience)
- Gen Z
- Millennial
- Gen X
- Boomer
Evidence
Examples of the Connected Accessory trend
6 featured examples from Aug 7, 2014 to Mar 17, 2016Affordable Heads-Up Displays
The Hudway Glass Offers a Flexible Heads-Up Display For a Low Price
Affordable heads-up displays provide an opportunity for automotive companies to incorporate this technology into their vehicles and enhance the driving experience.
High-Tech Windshield Displays
The Navdy Heads-Up Display Lets You Keep Your Eyes On the Road
Automakers can explore partnerships with Navdy or create their own head-up displays to improve driver safety.
Wearable-Connected Auto Software
High Mobility is an Auto Startup Enabling Entirely Connected Cars
High Mobility's wearable-connected auto software is disrupting the traditional concept of automobiles as purely physical machines.
Automotive Cloud Updates
Arynga is a Start-Up That Provides Over-the-Air Software Updates
Arynga's over-the-air software updates are poised to disrupt the automotive industry by improving software management and reducing recall rates.
Cognitive Learning Automotives
Capio Enhances Vehicles with Intuitive Speech Recognition
Capio's technology can disrupt the way humans interact with cars, ushering an era of intuitive and personalized driving experiences.
Cost-Cutting Vehicle Systems
This Hybrid EMS Creates Energy-Efficient Cars That Learn
The automotive industry has opportunities to develop energy-efficient vehicles with hybrid energy management systems and machine learning software