PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1308573
PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1308573
According to Stratistics MRC, the Global Automotive Data Management Market is accounted for $2.21 billion in 2023 and is expected to reach $7.17 billion by 2030 growing at a CAGR of 18.3% during the forecast period. Automotive data management is the process of gathering, storing, processing, and analyzing data generated by vehicles and their components. This information includes details about how the car operated, the driver's actions, the environment, and other important factors. Data is gathered using a variety of sensors and devices that are installed in the vehicle in order to improve performance, reduce maintenance costs, and improve the overall driving experience.
According to statista.com, an estimated 84 million connected vehicles were found on the roads in the U.S. in 2021. The market for connected vehicles has been growing in recent years, which is expected to continue.
The growing demand for connected vehicles is one of the key factors driving the global market for automotive data management. Huge amounts of data are generated by connected vehicles' operation, location, and use. Automobile manufacturers and other stakeholders can benefit from the collection, processing, and analysis of this data by using automotive data management systems to improve driver safety and vehicle performance. Furthermore, the growing acceptance of electrified cars is another factor driving the global market. Electric vehicles generate a variety of data compared to conventional internal combustion engine vehicles, such as battery charge level and energy usage. Due to advancements in the auto industry like lightweight vehicles and electric mobility, the market is advancing.
Implementing automotive data management solutions can be expensive, particularly for small and medium-sized businesses, which could limit the market's expansion. Additionally, the development of the market may be constrained by a lack of qualified professionals who can implement and maintain automotive data management solutions.
The growing demand for data analytics is one of the key business opportunities for the global automotive data management market. Utilizing automotive data management systems, automakers and other stakeholders can analyze enormous amounts of vehicle data to identify trends and patterns, enabling data-driven decision-making and vehicle performance improvement. The expanding use of cloud-based solutions also represents another significant area of business opportunity, as cloud-based solutions are more flexible, scalable, and cost-effective, and businesses of all sizes prefer them. Therefore, automotive data management solutions can benefit from this trend by offering cloud-based solutions that enable real-time data access and insights.
Automotive data management market growth is anticipated to be negatively impacted by the rising number of cybersecurity issues with connected and self-driving vehicles. The same cybersecurity risks that affect other connected devices also affect connected vehicles. As a result of connected vehicles' extensive data transmission over the internet, hackers may target them in an effort to access that data or take over the systems of the car. Both the vehicle's physical integrity and the safety of the passengers may be at risk as a result of this. In addition, the maintenance problems with automotive data management software slow the market's expansion even more.
With numerous supply chain disruptions and a drop in demand for vehicles, the COVID-19 pandemic has had a significant effect on the automotive industry. However, as the automotive industry searches for ways to adjust to the shifting landscape, the pandemic has also resulted in a greater focus on digital technologies and data management solutions. As businesses look for ways to cut downtime and maintenance costs, the pandemic has also accelerated the adoption of remote diagnostics and predictive maintenance solutions. In general, the pandemic has given the automotive data management market opportunities as well as challenges.
The cloud segment is anticipated to rule the market for the entire forecast period. In connected and autonomous vehicles, cloud computing is becoming more common. By facilitating greater scalability, quicker time-to-market, increased dependability, and enhanced cost-efficiency, the adoption of cloud technologies is reshaping the automotive industry. Moreover, numerous software developers are investing in cloud-based technologies for the automotive industry, which is accelerating the segment's growth.
The non-autonomous sector is anticipated to experience rapid growth during the forecast period. Non-autonomous cars cannot run without human intervention. Automobiles that are linked but not autonomous have uses for automotive data management. Moreover, connected vehicles produce data based on a variety of variables, including speed, motor condition, and distance travelled. The entertainment system, controller access network, and electric control unit of the car all provide information that enhances the driving experience. As a result of such factors, the segment is expanding.
Over the course of the prediction period, North America is anticipated to gain a significant share of the market due to the region's widespread presence of top automakers and software development firms, ongoing growth in vehicle production and sales, widespread adoption of cutting-edge technologies, and high levels of disposable income. Another significant factor anticipated to spur future regional market growth is the rapidly expanding testing and use of self-driving cars in the US due to favorable traffic regulations that permit autonomous vehicles to operate on roads and highways. Additionally, the growing acceptance of UBI (Usage-based Insurance) in the US and Canada, as well as the rise in IT companies' and automakers' strategic alliances, are other significant factors anticipated to propel growth in this region.
The lucrative growth of the regional market in Europe is primarily due to advancements in vehicle electronics design, increased vehicle production, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, rising linked vehicle sales, and the emergence of significant OEMs. Due in large part to Europe, the market for connected cars is expanding. Additionally, innovative and ground-breaking products and services for vehicle data administration are being developed by local business players for consumers, aiding the region's growth.
Some of the key players profiled in the Automotive Data Management Market include Acerta, Agnik LLC, Amazon Web Services, Inc., AMO Foundation, Amodo, Azuga, Caruso Gmbh, ETL Solution Ltd, HEAVY.AI, IBM Corporation, Intellias, Microsoft, National Instrument Corp, Netapp, Otonomo Technologies Ltd, Procon Analytics, SAP SE, Sibros Technologies Inc., Teradat Tech, Vinli and Xevo.
In October 2022, Microsoft joined hands with Mercedes-Benz, which offers financing, leasing, car subscription and car rental, and fleet management. Together, the companies aimed to combine the physical and digital worlds to propel value creation. Moreover, Mercedes-Benz can simulate and refine manufacturing procedures infinitely in the Microsoft Cloud before getting them to the shop floor to improve productivity and reduce their ecological effect amid ongoing change and uncertainty.
In October 2022, AWS joined hands with BMW, the world's foremost premium manufacturer of automobiles and motorcycles. Through this collaboration, the companies aimed to provide a solution that contains BMW vehicle signals and fleet intelligence data, then securely procedures and route the data in the cloud. Moreover, AWS and BMW Group are eager to make the concept of software-defined transportation an existence and to improve the abilities of vehicles on the road.
In March 2022, ACTIA and Sibros Technologies Inc. signed a strategic collaboration agreement for the ACU6 telematics technology. For OEM automakers in the motorbike, heavy-duty haulage, and light passenger sectors, this joint solution is anticipated to improve linked vehicle design and innovation.