Automotive artificial intelligence continues to climb

The automotive industry has seen the promise of artificial intelligence (AI) technology, and is among the industries at the forefront of using AI to augment human actions and to mimic the actions of humans, according to a new report from Tractica.

While also harnessing the advanced reaction times and pinpoint precision of machine-based systems, both semi-autonomous and the fully autonomous vehicles of the future will rely heavily on AI systems, says Tractica’s report.

“Artificial intelligence is not restricted to autonomous driving, however,” says Keith Kirkpatrick, principal analyst at Tractica.  “Suppliers and automakers realize that AI can also be used to make life in the car more convenient and personalized, for both the driver and the passengers, in addition to enabling greater automation for a range of areas including vehicle maintenance, customer service, fleet management, and navigation, among others.”

Tractica forecasts that the top use cases for automotive AI applications, in order of revenue potential, are as follows:

1. Machine/vehicular object detection/identification/avoidance
2. Personalized services in cars
3. Building generative models of the real world
4. Predictive maintenance
5. Localization and mapping
6. Sensor data fusion in machinery
7. Predicting demand for on-demand taxis
8. Simulating worlds for AI training
9. Automated on-road customer service
10. Truck platooning
11. Vehicle network and data security
12. Surge pricing for on-demand taxis
13. Virtual testing and simulation for racing cars
14. Driver face analytics and emotion recognition
15. Gesture recognition

Tractica forecasts that, together, these use cases will drive AI hardware, software, and services revenue in the automotive industry from $404 million in 2016 to $14.0 billion by 2025, representing a compound annual growth rate of 48.3%.