Apart from being the leading technology for the development and use of semi-autonomous and autonomous cars, Artificial Intelligence is also core to the automotive industry’s efforts to build safer and more reliable cars. A new report from Tractica, a market intelligence firm, covers 15 AI use cases presenting how AI helps to improve vehicle safety and efficiency.
While AI is behind the drive for autonomous vehicles, its use in a broad range of ways for vehicle safety and comfort will also drive revenue growth. For instance, automotive human machine interaction (HMI) is a key function that mimics a human behind the wheel that includes precision and advanced reaction time. Voice/speech recognition, driver face analytics, and emotion and gesture recognition are part of this advancing technology.
“In-car assistants, driven by natural language processing and machine learning techniques, allow the vehicle’s systems to respond to voice commands and infer what actions to take, without human intervention,” explained Tractica’s principal analyst Keith Kirkpatrick.
The industry is also focusing on car upkeep and safety through predictive maintenance, automated on-road customer service, and vehicle and network data security.
With such great focus on incorporating AI into vehicles through a variety of uses, the Tractica report projects revenue for automotive AI software, hardware, and services will increase from $2 billion in 2018 to $26.5 billion in 2025. This revenue increase is a 46 percent compound annual growth rate during that period.
Automotive related industries are using various subsets of AI, such as machine learning, natural language processing, deep learning, and computer vision, to build the systems in these vehicles.
“Beyond self-driving vehicles, AI can also be used to make life in the car more convenient and safer, for both the driver and the passengers,” states Kirkpatrick.
