01 Increased Efforts from Multiple Stakeholders in Utilizing the Vehicle Generated Data The global automotive industry is expected to observe a turnaround after a slump in sales during 2019, with a positive growth trend over the forecast period. The consumer propensity towards adopting connected vehicles is expected to influence the demand for technological instrumentations. The growing adoption of ADAS and connected cars, which incorporate sensors that generate a vast amount of data per vehicle, pushes the need for using this data for analytical purposes.Governments worldwide are also looking to utilize vehicle-generated data for various purposes. For instance, by facilitating government access to vehicle-generated data for network operations, investment, maintenance, planning, and road safety, the National Transport Commission (NTC) is proposing regulatory solutions. Apart from this, various transportation and other vendors operating in the space are increasingly using vehicle telematics for data analysis. For instance, a study by Otonomo, the top platform for automotive data services, found that up to 77% of consumers are interested in a variety of new services based on connected car data.These services include being warned of hazardous road conditions, navigation based on current traffic, early detection of necessary maintenance and repairs, suggestions for nearby available parking, and discounted insurance based on driving. Furthermore, in-vehicle-generated data is used for predictive maintenance, fleet management, tracking, vehicle usage, and other things that can be tracked and analyzed for driver behavior, vehicle condition, etc. Such developments are helping stakeholders increase their efforts in offering customized solutions and services for consumers.
02 Growing Installed-base of Connected Cars The consumer propensity toward connected cars is increasing exponentially, and the number of connected car shipments and vehicles in use is also growing. Automotive manufacturers are increasingly offering solutions and developing services to cater to the growing connected cars market. For instance, in 2019, Ford introduced cellular vehicle-to-everything technology to its cars in 2022. Such developments are further enhancing the corresponding car space.Apart from this, prominent vendors in the market are already offering various connected features, such as infotainment systems and connected platforms within the vehicle. For instance, in November 2020, Hyundai Motor Group announced the launch of NVIDIA DRIVE connected car infotainment and AI platform across all of its future Hyundai, Kia, and Genesis models. Such developments are expected to increase over the forecast period.
01 Privacy Issues and Laws on Vehicle Data Protection There is a structured and neutral source for parties interested in in-vehicle data to determine their strategic (legal) position regarding access to and exchanging in-vehicle data. For the automotive industry, in-vehicle data collected by connected vehicles can be used to develop self-driving vehicles and smart cities, improve traffic management, and secure road safety. Also, there is an interest by various parties in in-vehicle data to navigate the complex and constantly evolving legal and regulatory landscape.Data is becoming more and more valuable to OEMs. Therefore, they must comply with the General Data Protection Regulation (GDPR) by developing a solid privacy policy. Given that many people in the sector are still unfamiliar with current laws and internal procedures, it is essential to demonstrate a clear understanding of data protection, particularly the GDPR. Public misunderstandings may result from this. Therefore, these obstacles prevent the industry from growing.
01 Emerging Applications in the Automotive Sector The big data market in the automotive industry share is expected to grow exponentially in the future, mainly due to the emerging new applications in the automotive industry that are expanding the scope of the market. For instance, big data in the connected vehicle sector is expected to offer massive opportunities for automotive manufacturers in the future. The growing cloud adoption and innovation of new cloud services are also likely to fuel the adoption of big data in the automotive industry. According to Forbes, by 2020, the accumulated volume of big data increased from 4.4 zettabytes to roughly 44 zettabytes or 44 trillion GB. New generations of data-processing architectures will take on the big data challenge by enhancing storage methods.Trends like Industry 4.0 and growing industrial automation adoption are expected to increase the involvement of the big data market among automotive vendors. For instance, industrial automation firms, like Rockwell Automation, can cut costs up to 90% with big data solutions. The big data services market will witness a rise in demand as autonomous/driverless technology gains momentum. Big data and analytics will play a vital role in the efficient functioning of this technology. Such factors contribute to market growth.
June 2026 IBM and Scuderia Ferrari HP expanded their AI and data analytics collaboration by deploying enhanced digital fan engagement and motorsport analytics solutions built on IBM watsonx technologies.
March 2026 TomTom and Hyundai AutoEver expanded their collaboration to provide monthly structural map-data updates for Hyundai and Kia vehicles across Europe. The arrangement uses TomTom’s AI-driven mapping platform, traffic intelligence, speed-camera information, connected-device inputs, and sensor-derived observations to support navigation, advanced driver-assistance systems, and software-defined vehicle platforms.
May 2025 Amazon Web Services and Salesforce introduced an integration architecture for connected vehicles and other connected assets. The solution enables automotive companies to collect, process, distribute, and analyze vehicle-generated data within Salesforce Industry Cloud applications using AWS data-ingestion, storage, integration, and analytics services.