The automotive industry continues to be a hotbed of innovation, with activity driven by the need to make vehicles smarter and more reliable, facilitate advanced transportation capabilities, enhance vehicle management, and provide seamless driving experiences, and growing importance of technologies such as machine learning and deep learning. In the last three years alone, there have been over 1.2 million patents filed and granted in the automotive industry, according to GlobalData’s report on Internet of Things in Automotive: Driver physiological state estimation.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
290+ innovations will shape the automotive industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the automotive industry using innovation intensity models built on over 619,000 patents, there are 290+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, acoustic vehicle signalling devices, autonomous parking, and brake pedal sensors are disruptive technologies that are in the early stages of application and should be tracked closely. Vehicle head up displays (HUDs), smart light dimmers, and automatic actuated vehicle doors are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are road slope estimation and V2V distance monitoring, which are now well established in the industry.
Innovation S-curve for IoT in the automotive industry
Driver physiological state estimation is a key innovation area in IoT
A driver monitoring system (DMS) is a vehicle safety system that determines driver alertness to aid in preventing accidents or identifying human behaviour. It uses a camera to inspect for specific indicators of unfocused or impaired driving and delivers an alert if it detects a problem.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 80+ companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of driver physiological state estimation.
Key players in driver physiological state estimation – a disruptive innovation in the automotive industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to driver physiological state estimation
Source: GlobalData Patent Analytics
Hyundai Motor is a key player in the driver physiological state estimation innovation area. It has developed an autonomous driving redundancy system that ensures the safety of passengers by safely driving and stopping the vehicle when a system failure is detected during autonomous driving. Hyundai is also planning to develop an autonomous vehicle with high safety and reliability by integrating cybersecurity features, cameras, and lidar sensors. Toyota Motor, Kia, Ford, Denso and Nissan are some of the other key players.
To further understand how IoT is disrupting the automotive industry, access GlobalData’s latest thematic research report on Internet of Things (IoT) in Automotive.