Automotive Data Management Market Report 2026

The automotive data management market size has grown rapidly in recent years. It will grow from $2.43 billion in 2025 to $2.85 billion in 2026 at a compound annual growth rate (CAGR) of 17%. The growth in the historic period can be attributed to connected vehicle emergence, telematics adoption, growth of fleet management, data-driven maintenance practices, software-defined vehicles.

The automotive data management market size is expected to see rapid growth in the next few years. It will grow to $5.27 billion in 2030 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to autonomous vehicle development, AI-driven analytics adoption, electrification data complexity, smart mobility ecosystems, regulatory data compliance. Major trends in the forecast period include growth of cloud-based data platforms, integration of predictive analytics, expansion of connected fleet solutions, rising focus on data security, adoption of vehicle lifecycle analytics.

The increasing emergence of autonomous vehicles is expected to drive the growth of the automotive data management market going forward. Autonomous vehicles are self-driving cars that operate without human intervention by using a combination of sensors, cameras, radar systems, and artificial intelligence. Automotive data management supports autonomous vehicles by enabling the collection, processing, and analysis of large volumes of data generated by onboard sensors and systems, ensuring safe and efficient operation, optimizing vehicle performance, and enhancing the overall driving experience. For example, in December 2024, according to the National Highway Traffic Safety Administration, a U.S.-based government agency, an estimated 4.5 million self-driving vehicles are projected to be operating on U.S. roads by 2030. Therefore, the growing adoption of autonomous vehicles is fueling the expansion of the automotive data management market.

Major companies in the automotive data management market are increasingly implementing advanced data-integration solutions and cloud-based data management platforms to improve operational efficiency, streamline data workflows, and enable more intelligent, data-driven decision-making. Automotive data management involves the processes and technologies used to collect, integrate, store, analyze, and utilize large volumes of vehicle, manufacturing, sales, and customer data generated across an automaker’s global operations. For instance, in August 2024, SUBARU Corporation, a Japan-based automotive manufacturer, adopted Informatica’s AI-powered Intelligent Data Management Cloud (IDMC) to support a large-scale global data-integration initiative. This platform consolidates hundreds of diverse data assets, including development histories, production records, customer identifiers, sales data, and maintenance logs, into a unified data ecosystem. The solution is designed to enhance manufacturing quality, strengthen business intelligence capabilities, and enable more personalized customer experiences, improving SUBARU’s ability to manage and leverage data across its worldwide operations.

In February 2025, Platform Science, a U.S.-based provider of mobility software and fleet data platforms, acquired Trimble, Inc.’s transportation telematics business units for an undisclosed amount. Through this acquisition, Platform Science aims to strengthen its automotive data management and connected-vehicle capabilities by integrating Trimble’s global telematics assets, customer base, and vehicle data solutions into its “Virtual Vehicle” ecosystem. Trimble, Inc. is a U.S.-based company that provides transportation telematics, fleet management software, and data analytics services for commercial and enterprise mobility.

Major companies operating in the automotive data management market report include Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, SAP SE, Siemens AG, Cisco Systems Inc., Robert Bosch GmbH, Continental AG, DXC Technology Company, Wipro Limited, Otonomo Inc., Sibros Technologies Inc., Azuga Inc., Xevo Inc., Acerta Analytics Solutions Inc., AGNIK LLC, Procon Analytics LLC, National Instruments Corporation, Phocas Ltd.

North America was the largest region in the automotive data management market in 2025. The regions covered in the automotive data management market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the automotive data management market report include Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The automotive data management market consists of revenues earned by entities by providing services such as data collection and integration, data storage and management, data analysis and reporting, data security, and compliance. The market value includes the value of related goods sold by the service provider or included within the service offering. The automotive data management market also includes sales of sensors, electronic control units (ECUs), telematics control units (TCUs), and embedded processors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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