The automotive industry continues to be a hotbed of innovation, with activity driven by demand for intelligent and connected cars that are safer and offer enhanced driving experience, as well as the growing importance of technologies such as electric, connected and autonomous vehicles. Adaptive control systems, backed by artificial intelligence, assist driver in real-time scenario. The technology studies driver behaviour patterns, preferred temperature settings, songs, and destinations, to make the commuting experience convenient and comfortable. Almost all major automotive original equipment manufacturers (OEMs) are working towards the development of software to create an ideal in-car experience for drivers. 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 Artificial intelligence in Automotive: AI-assisted adaptive control systems. Buy the report here.
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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, manufacturability analysis, autonomous parking, and lidar for vehicle anti-collision are disruptive technologies that are in the early stages of application and should be tracked closely. Speed profile estimation, smart light dimmers, and driver drowsiness detection are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are road slope estimation and adaptive cruise control, which are now well established in the industry.
Innovation S-curve for artificial intelligence in the automotive industry
AI-assisted adaptive control systems is a key innovation area in artificial intelligence
Artificial intelligence-based adaptive control systems provide real-time monitoring and tracking of data with sensors to adjust the controlled parameters to adapt to the changing conditions.
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 60+ companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of AI-assisted adaptive control systems.
Key players in AI-assisted adaptive control systems – 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 AI-assisted adaptive control systems
Source: GlobalData Patent Analytics
Toyota is one of the leading innovators in adaptive control systems. In a recent development, Toyota collaborated with Google to build Toyota Driver’s Companion AI named Joya, designed to answer any questions a driver has about their vehicle. The AI-based product highlights how cloud computing can support interactive, engaging consumer experiences in a natural, accessible format, that is, voice commands. Other companies in this technology domain are Fanuc, Strong Force, Siemens, and Bosch. To further understand how artificial intelligence is disrupting the automotive industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Automotive.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
