The automotive industry continues to be a hotbed of innovation, with activity driven by major automotive original equipment manufacturers (OEMs) working towards the development of software to create an ideal in-car experience for drivers, and growing importance of technologies such as artificial intelligence, cybersecurity, Internet of Things, robotics 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 Cloud in Automotive: Data-driven control systems.
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, EV discharge prediction, manufacturability analysis, and AI-assisted CAD are disruptive technologies that are in the early stages of application and should be tracked closely. Vehicle head up displays (HUDs), gesture-sensing AR/VR interfaces, and instrument cluster dashboard are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are HUD dashboards and remote trip monitoring, which are now well established in the industry.
Innovation S-curve for cloud in the automotive industry
Data-driven control systems is a key innovation area in cloud
Information gathering, administration, and display are all handled by data-driven systems and apps, which are specialised software solutions. The software tools, methods, and procedures used to create these systems are typically the same as those used to create any other sort of software.
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 data-driven control systems.
Key players in data-driven 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 data-driven control systems
Source: GlobalData Patent Analytics
One of the top companies for the automobile industry's data-driven control systems patent filings is Toyota with 387 patents. The corporation is primarily concerned with the design, production and marketing of data-driven control systems equipment. Ford, Baidu etc. are a few further significant automotive patent filers.
To further understand how cloud is disrupting the automotive industry, access GlobalData’s latest thematic research report on Automotive.
Subscribe to our Newsletter
Get industry leading news, data and analysis delivered to your inbox
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.
