The automotive industry continues to be a hotbed of innovation, with activity driven by increasing penetration of electronics into vehicle systems to make mobility safer and intelligent and enhance in-car experiences, and growing importance of technologies such as artificial intelligence, the Internet of Things, sensors, and machine 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: AI-assisted dimming. 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, smart car seats, tyre sensors, and predictive maintenance systems are disruptive technologies that are in the early stages of application and should be tracked closely. Acoustic vehicle signalling devices, brake temperature monitoring, and autonomous parking are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are disc brake actuators and AI-assisted dimming, which are now well established in the industry.
Innovation S-curve for Internet of Things in the automotive industry
AI-assisted dimming is a key innovation area in Internet of Things
AI-assisted dimming is a data-driven network of lighting components that generates data on a continuous basis, which impacts the various stages involved in the lighting life cycle such as design, installation, commissioning, and configuration.
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 40+ companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of AI-assisted dimming.
Key players in AI-assisted dimming – 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 dimming
Source: GlobalData Patent Analytics
Koito Manufacturing is one of the leading companies in AI-dimming for the automotive industry. Koito and Reality AI are collaborating on the next generation of ADB headlights, which will use AI to reduce false positive rates and provide more accurate predictions. Toyota and Porsche Automobil are other significant automotive patent filers in the innovation area.
To further understand how Internet of Things is disrupting the automotive industry, access GlobalData’s latest thematic research report on Internet of Things (IoT) 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.
