The automotive industry continues to be a hotbed of innovation, with activity driven by the need for greater safety and the emergence of autonomous vehicles, and growing importance of technologies such as big data and cloud computing. 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: Speed governors. 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.
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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
Speed governors is a key innovation area in IoT
A speed limiter or speed governor is used to limit the top speed of a vehicle. It prevents the vehicle from exceeding certain pre-set speed limits and serves as a speed warning system when driving above the limit that has been set.
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 20+ companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of speed governors.
Key players in speed governors – 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 speed governors
Source: GlobalData Patent Analytics
Ford is a key player in the speed governors innovation area. Ford’s intelligent speed limiter (or governors) technology scans traffic signs and adjusts the throttle to help drivers stay within the legal speed limit. Drivers can choose between speed limiting systems in the vehicle menu using the steering wheel controls and activate them using the speed system controls. The maximum speed for the intelligent speed limiter can be set and then raised or lowered in 8km/h increments. Toyota, Hyundai, Porsche Automobil and Tata Motors 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.
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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.
