Webfleet: 34% of fleet decision makers predict fully autonomous vehicle fleets
A recent survey conducted by Webfleet has revealed that a significant portion of fleet decision makers are either already leveraging the power of artificial intelligence or have concrete plans to integrate it into their operations within the next five years. The survey data indicates that 58% of these decision makers have, at some juncture, experimented with or actively employed AI technologies. Furthermore, the respondents also anticipate the future introduction and integration of autonomous vehicles into their existing fleet infrastructures. This forward-looking perspective suggests a growing recognition within the industry of the potential benefits and efficiencies that can be realized through the adoption of both AI-driven solutions and the deployment of self-driving vehicles in commercial fleet management.
AI’s growth in fleet management is predicted to have a 30% impact on EVs, the survey says, pointing towards artificial intelligence no longer being an afterthought.
When asked if any concern rang prevalent amongst utilizing AI, 35% of respondents answered neutral, showing neither a lack of concern nor too much concern. The main concerns included: it being a complex integration process, it will increase security breach risks, it may threaten job security for drivers and other positions, and it is not always trustworthy to make the best choices.
Two additional ways artificial intelligence is predicted to innovate in the upcoming years are through autonomous driving and connected tyre technology. 34% of respondents predict to have fully autonomous vehicles in their fleet in the next 5 years. For tyre connectivity, sending real time data from the tyre to a telematics platform, presents to be a game-changer for respondents, as 62% answered that the most compelling benefit of this technology is the increased safety measures and minimized accident risks it provides.
Source: Webfleet
Several areas are predicted to have a big impact on fleet management in the upcoming five years:
Artificial intelligence and machine learning – 32%
Electric vehicles – 30%
Autonomous driving – 13%
Internet of Things and connected vehicles – 7%
Hydrogen vehicles – 5%
Augmented/ Virtual Reality – 3%
Vehicle to infrastructure (v2i) – 3%
Advanced telematics – 3%
Blockchain – 2%
None – 3%
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