Automotive Data Monetization Market Size - By Type, By Deployment, By Application, By End Use, Growth Forecast, 2025 - 2034

Automotive Data Monetization Market Size

The global automotive data monetization market size was valued at USD 7.8 billion in 2024 and is estimated to register a CAGR of 13.3% between 2025 and 2034. The increased adoption of connected vehicles is one of the primary factors driving growth in monetization of automotive data as modern automobiles produce enormous amounts of data in real time through embedded sensors, telematics, and onboard communication systems. Statista stated that the connected cars are projected to grow from roughly 237 million in 2021 to over 400 million in operation by the year 2025.
 

Connected vehicles accumulate telematics data as well as stream satellite data alongside other resources that help synthesize relevant information. This data includes driver's environmental conditions, location, speed, fuel consumption, engine diagnostics, and even driver's health and behavior. Using this data, automotive and technology companies are providing value-added services such as e-vehicle insurance, telematics-based insurance, automated predictive maintenance, and infotainment systems, helping create various monetization strategies.
 

The increasing adoption of connected vehicles across the globe due to 5G and V2X (Vehicle-to-Everything) technologies is significantly increasing the volume and range of automotive data. The global automotive vehicle-to-everything market is projected to grow from USD 4.1 billion in 2024 to 25.1% CAGR between 2025 and 2034.
 

This data creates opportunities for original equipment manufacturers (OEMs), fleet operators, insurers, and third-party service providers to create new data-driven business models. Being able to process, analyze, and act on vehicle data within milliseconds is becoming a key strategic factor and is increasing the need for robust platforms for data monetization and cloud-based analytics solutions.
 

Government policies as well as infrastructure development are leading to the need for automotive data monetization as it increases the requirements of transparency of data and the integration of vehicles with public systems. Public policies require automakers to provide equitable vehicle data access to third parties such as insurers and repair shops, while smart city initiatives depend on connected cars for real-time traffic, safety, and environmental data.
 

This integration of regulatory policies and infrastructure development is increasing the demand and importance of automotive data, thus creating novel monetization opportunities through partnerships and services offered due to compliance mandates.
 

Automotive Data Monetization Market Trends

• Subscription-based models are becoming more common among automakers with features such as advanced driver assistance systems (ADAS), infotainment, and performance upgrades. This shift also provides automakers with the ability to earn recurring revenue. Offering software-defined services requires that data be available to tailor and refine these services.
   
• The utilization of data analytics is enabling fleet operators and OEMs to anticipate vehicle malfunctions and schedule maintenance repairs in advance. This strategy enhances operational efficiency and minimizes downtime. Predictive maintenance as a means of monetization is gaining traction as vehicles become more interconnected.
   
• Insurance companies are increasingly using vehicle telematics to create driving behavior-based insurance policies. This reduces insurance fraud as well as promotes safer driving habits. As its adoption increases, UBI is becoming one of the primary sources for monetizing automotive data.
   
• Automaker companies are increasingly entering into partnerships with cloud service providers, artificial intelligence companies, and mobility startups to fully harness vehicle data. These partnerships accelerate innovation and fill in the gaps in automotive technologies.
   
• Snowflake announced new features for the automotive industry as part of its AI data cloud for manufacturing. This expansion was announced considering the rapid transformation of the automotive industry which includes factors such as increase in the number of connected cars, software-defined vehicles, and self-driving vehicles. This platform is designed to help the management and analysis of the massive amounts of data generated through modern vehicles, which includes high-resolution sensors and cameras.
   
• Snowflake through this platform aims to offer data management solutions, secure data-sharing capabilities across the entire automotive value chain including suppliers, OEMs, distributors, sales, and service providers. This helps in collaboration for concurrent engineering, production process optimization, and real-time supply chain analytics. This announcement was made in May 2025.
   

Automotive Data Monetization Market Analysis

Based on end use, the automotive data monetization market is segmented into OEM, fleet operators, third-party service providers, and others. In 2024, the OEM segment was valued at around USD 3 billion and held a market share of over 43.5%.
 

• OEMs design and integrate vehicles with connected technologies, thus providing them with first-party access to data including engine metrics and user preferences. This enables them to act as data gatekeepers as they can maintain control over the sharing and selling of data.
   
• OEMs have direct connection and contact with vehicle buyers and users, thus providing them with a direct and reliable way for obtaining permission for data utilization. This level of trust allows them to provide personalized options such as real-time infotainment services or subscription-based features that are updated based on user data.
   
• Top automobile manufacturers are developing their own data management and cloud platforms as per business needs. These platforms allow the OEMs to analyze, manage, or monetize the data in-house, or in partnership with other businesses while retaining control of data governance.
   
• OEMs started embedding systems for telematics, sensors, as well as connectivity platforms such as 5G and V2X long before any regulatory requirements. This early adoption afforded them a competitive edge technologically, enabling them to capitalize on monetizing vehicle data through predictive maintenance and over-the-air updates.

Based on the deployment, the automotive data monetization market is segmented as on-premises and cloud. The cloud segment dominated in 2024 with a market share of around 75.5%.
 

• Connected vehicles produce enormous amounts of data every second, including location and diagnostics, as well as driving patterns. With the cloud infrastructure, OEMs (Original Equipment Manufacturer) and service providers can easily scale their storage and processing capabilities, making it simpler to manage big data from millions of vehicles.
   
• The cloud platforms facilitate real-time analytics and advanced machine learning models required for services such as predictive maintenance, usage-based insurance, and mobility management. Thus, enabling better tech-driven decision systems and faster responsive systems which lead to improved monetization.
   
• Investing in IT infrastructure for on-premises systems often comes with a costly price tag due to the high upfront capital needed. These expenditures can be reduced or avoided in the cloud platform. This is because users need to only pay for what is used, making data monetization cheaper than in large capital spending.
   
• Cloud-based ecosystems provide the provision of APIs and developer tools designed to facilitate integration with third-party applications, partners, and mobility platforms. Enhanced flexibility also helps in quicker innovation and wider collaboration further improving and scaling the monetization of data.
   
• In May 2025, Tredence partnered with Snowflake to offer advanced AI-enabled solutions for the automotive manufacturing and supply chain industries. This partnership utilizes Tredence’s industry knowledge alongside Snowflake’s AI Data Cloud to drive legacy system updates for OEMs, suppliers, dealers, and fleet operators, converge operational (OT) and IT data silos, as well as provide large-scale AI insights.
   

Based on type, the automotive data monetization market is segmented as direct monetization and indirect monetization. The direct monetization segment led the market in 2024.
 

• The demand and importance of structured automotive data is growing at a significant rate, especially due to DaaS (Data-as-a-Service) platforms. Companies are able to generate scalable and recurring revenue streams by offering packaged vehicle data for sale. This trend further leads to the importance and demand of direct monetization in the market.
   
• OEMs typically have proprietary control over the data generated from the vehicles and may grant licenses under certain conditions. This allows them to extract profits from the data without needed platforms, third parties, or overhead, thus increasing margins and declining operational burden.
   
• Unlike indirect models, such as subscriptions or advertisements, direct monetization does not require any constant interaction with the customers and servicing layers. Such models are easier to apply, especially for OEMs or suppliers at the initial stages of data monetization.
   

Based on application, the automotive data monetization market is segmented as insurance, predictive maintenance, fleet management, mobility-as-a-service (MaaS), government & infrastructure, and others. The predictive maintenance segment led the market in 2024.
 

• Predictive maintenance helps in monitoring real-time sensor data and uses analytics both to foresee and solve mechanical issues before they arise. This approach minimizes unanticipated failures, enhances vehicle uptime, and dramatically reduces maintenance and repair costs for both private users and fleet operators.
   
• Fleet operators for ride-sharing companies, rental companies, and logistics tend to be heavily driven by operational expenditure and their budgetary needs. Automation of servicing scheduling driven by data predicts when the vehicles need servicing, which enhances vehicle longevity, decreases operational expenditure, prevents revenue loss, and optimizes fleet-wide operations due to controlled servicing.
   
• Recent developments in the field of Artificial Intelligence (AI) as well as the advancements in Internet of Things (IoT) devices have made predictive maintenance more accurate, scalable, and easy to implement. The increasing prevalence of connected vehicles greatly enhances the efficacy and demand for these services.

Asia Pacific dominated the global automotive data monetization market with a major share of over 35% and China led the market in the region and was valued at around USD 748.2 million in 2024.
 

• China's 5G network and the IoT ecosystem have been advancing at a faster pace, supporting real-time data transfer as well as high-end telematics services. These infrastructures enable the overall economy to support vital maintenance as well as UBI and V2X communication which are the key monetization drivers.
   
• China is a major producer and consumer of vehicles globally, with a dynamic and expanding demand for connected cars. Statista stated that out of the total cars in China, 33% were connected cars in 2021 and this percentage is anticipated to increase to 35% by the end of 2025. This results in higher levels of vehicle-generated data, creating a strong foundation for large-scale data monetization.
   
• Domestic manufacturers, including BYD, NIO, and Geely, are increasing spending on cloud services, in-car AI, and digital services platforms. These digital innovations are enabling the creation of new business models that depend on vehicle data such as diagnostics, remote access, subscriptions, and user personalization.
   
• In China, consumers are more open and accepting towards mobile-centric and digital automotive products and services as compared to residents from other region. These include features like in-car apps, navigation, and payment systems. Such high demand and adoption rate boosts the demand for connected services that automakers and technology companies can capitalize on.
   

The growth forecast for the automotive data monetization market in the U.S. from 2025 to 2034 is highly encouraging.
 

• The U.S. has a large and growing fleet of connected and electric vehicles, most of which have sophisticated telematics and infotainment systems. As of 2021, Statista recorded 84.32 million connected vehicles in the U.S., and this figure is projected to increase to 150.28 million by the end of 2025. These vehicles generate a huge amount of data, which can be used or provided and thus monetized by OEMs and service providers through various applications.
   
• The U.S. is home to the world’s leading automotive manufacturers as well as major technology companies such as Apple, Amazon, Microsoft, and other leading players. Both these technologies and automotive companies frequently and actively collaborate to develop cloud infrastructure, AI applications, and automobile data services. These partnerships further strengthen the nation’s global leadership position in innovative automotive technologies in the business ecosystem.
   
• The U.S. is one of the major users and provider of usage-based insurance, with insurers offering telematics-based personalized premiums. Consumer acceptance for such models continues to rise, positioning insurance as one of the most attractive opportunities for monetization of automotive data in the area.
   
• The private and public sectors in the U.S. are simultaneously heavily investing in smart road infrastructure and vehicle-to-everything (V2X) technologies, as well as frameworks for integrated urban planning. These developments fuel fresh opportunities for monetization by embedding vehicle data within urban planning systems, traffic control frameworks, and emergency response operations.
   

Germany is expected to show remarkable and promising development in the automotive data monetization market from 2025-2034.
 

• Germany is one of the leading automobile manufacturing countries in the world with various major automotive companies such as BMW, Mercedes-Benz, Audi, and Volkswagen, all of which are prioritizing investment in connected cars and other digital services. Germany is one of the key participants in monetization efforts since these OEMs yield and manage copious volumes of vehicle data.
   
• The automotive industry in Germany is known for its top-notch investments and developments of auto-related products and leadership in R&D, particularly in technologies and offerings such as telematics, ADAS integration, and autonomous vehicle systems. This leadership helps and leads to the development of advanced platforms for data analytics and innovative models for monetization of data and related services.
   
• Corporate and individual consumers from Germany are increasingly adopting services such as predictive maintenance, insurance based on usage, and digital driving navigation. Such an increase in demand for connected functionalities boosts the availability of real-time data to enhance monetization options for OEMs and their business partners.
   

The automotive data monetization market in Mexico is expected to experience significant and promising growth from 2025 to 2034.
 

• Mexican cities are now implementing smart mobility technologies such as traffic monitoring and environmental control systems. With this growing adoption, vehicle data is becoming a valuable asset and leading to the development of voicing applications, as well as new monetization frameworks.
   
• Mexico is one of the major and developing countries in automotive manufacturing and hosts the production plants of various auto OEMs including GM, Ford, VW and Nissan. This makes Mexico a crucial participant for connected vehicle technology and their data-generating systems development and implementation.
   
• Mexico also has a large and growing fleet and logistic services market. These businesses are rapidly adopting GPS tracking, telematics, and predictive maintenance technologies. These systems also produce important data which can be monetized through fleet optimization and insurance based on usage metrics.
   

The automotive data monetization market in UAE is expected to experience significant and promising growth from 2025 to 2034.
 

• The UAE cities such as Dubai and Abu Dhabi are smartly shifting from traditional traffic management systems to integrating smart city concepts that utilize vehicle telemetry data for safety, traffic flow, and infrastructure development. These initiatives stimulate the need for data integration and monetization in the automotive industry.
   
• The penetration of connected car technologies in the UAE is high due to the country having a significant market for luxury cars and technologically advanced vehicles. Connected cars in the region provide opportunities for data monetization as they capture crucial information relating to driving patterns, vehicle servicing, and routing.
   
• The UAE is characterized by a friendly business climate, having well-defined regulations on data and digital technologies, which supports innovation. Legal certainty attracts manufacturers, automotive service and platform providers, insurers, and technology companies to operate in the UAE and focus on developing data-driven automotive services.
   

Automotive Data Monetization Market Share

Top 7 companies leading the automotive data monetization industry in 2024 were Continental, IBM, Oracle, Bosch, Harman International, Geotab, and Urgent.ly Inc (Otonomo). Together, they held around 35% of the market share.
 

• Continental is a known player in automotive electronics and telematics solutions. The company has invested in and developed connected vehicle platforms that gather and analyze data from various vehicles in real time for the purposes of predictive maintenance, fleet monitoring, and driver behavior assessment. The company's strong OEM partnerships and in-vehicle technologies support large scale data generation and monetization.
   
• IBM offers robust platforms in the automotive industry focusing on the Cloud solution, AI, and analytic technologies. Its Watson IoT and IBM Cloud services assist OEM's and fleet operators in processing the vehicle data to generate insights that help monetize through insurance pay-per-use model, personalization in a car, and remote diagnostic features.
   
• Oracle provides cloud infrastructure and data management solutions that help in the monetization of automotive data. Its platforms offer real-time data processing, storing, and monetization services through APIs and analytics. Oracle is preferred and trusted with sensitive vehicle data due to its strong data security and AI measures, making it a reliable partner for OEMs.
   
• Bosch offers telematics control units, advanced sensor systems, and IoT platforms which are actively used in the automotive industry. The company also offers predictive maintenance, vehicle health monitoring, and mobility services to monetize data. With strong R&D capabilities and a wide global presence, the company is a substantial part of the connected vehicle ecosystem.
   
• Harman is focused on the development of connected car technologies as well as infotainment systems that harvest crucial user and vehicle information. OEMs can provide in-car applications, data-driven OTA updates, and tailored information through seamless integration with OEM and third-party services leveraging data monetization on Harman Ignite platform. Samsung’s integration boosts its cloud and AI capabilities.
   

Automotive Data Monetization Market Companies

Major players operating in the automotive data monetization industry include:

• Airlinq Inc.
• Bosch
• Caruso GmbH
• Continental
• Cox Automotive
• Geotab
• Harman International
• IBM
• Oracle
• Urgent.ly Inc (Otonomo)
   
• Vendors are competing on the basis of advancing their AI, machine learning, and predictive analytics capabilities. The service providers that can extract deeper insights from raw vehicle data, e.g., for predictive maintenance or driver scoring, are better positioned to gain customer trust and thus contracts from OEMs, fleets, and insurers.
   
• While OEMs still dominate in direct data access, aftermarket services and fleet operators are growing in importance. These segments use data for greater operational efficiency, reduced costs, and new serviced models, thus adding complexity and opportunity to the competitive landscape.
   
• Global frameworks such as GDPR, CCPA, and UN R155 have turned compliance into a competitive differentiator for businesses. Organizations that offer secure, trustworthy, and compliant data management solutions are fortified with consumer trust as well as business sustainability, given that the legal and ethical governance of vehicle data handling becomes a primary expectation from the marketplace.
   

Automotive Data Monetization Industry News

• In May 2025, Sigma Computing entered into a partnership with Snowflake to launch automotive industry solutions based on the Snowflake AI Data Cloud. This partnership aims to advance digital evolution and data-informed processes for automotive manufacturers, suppliers, dealers, and fleet managers. Addressing the enormous volumes of data across the automotive ecosystem, this partnership supports emerging trends such as autonomous driving, electric vehicles, and connected car technologies.
   
• In February 2025, EasyPark Group, a global leader in digital parking and mobility solutions, finalized its acquisition of Parkopedia, a market leader in connected car services and mobility data aggregation. This acquisition is aimed to build on the collaborative work these two companies had for over a decade and deliver on their promise of a comprehensive integrated and seamless driving experience empowered with precise data and global payment systems.
   
• In May 2024, KPN IoT and Freeeway introduced a IoT Monetization services model tailored for the automotive sector which empowers car manufacturers to rapidly launch, scale, and monetize connected car services throughout Europe. This model targets one of the OEMs main issues of sustaining the generation of recurring revenues for an ever-growing connected vehicle fleet amid waning traditional subsidized connectivity models.
   
• In May 2024, KPN IoT and Freeeway introduced a consolidated IoT Monetization services model tailored for the automotive sector which empowers car manufacturers (OEMs) to rapidly launch, scale, and monetize connected car services throughout Europe. This model targets one of the OEMs main issues; how to sustain the generation of recurring revenues for an ever-growing connected vehicle fleet amid waning traditional subsidized connectivity models.
   
• In February 2023, NTT DATA, together with Toyota Motor Corporation and Mitsuis Fudosan, started a new Connected Car Data Initiative with intentions of mitigating traffic congestion and CO2 emissions. The project commenced with a proof of concept (PoC) at Mitsui Shopping Park LaLaport Tokyo-Bay where Toyota supplied connected car data.
   

The automotive data monetization market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue ($Bn) from 2021 to 2034, for the following segments:

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Market, By Type

• Direct monetization
• Indirect monetization

Market, By Deployment

• On-premises
• Cloud

Market, By Application

• Insurance
• Predictive maintenance
• Fleet management
• Mobility-as-a-service (MaaS)
• Government & infrastructure
• Others

Market, By End Use

• OEM
• Fleet operators
• Third-party service providers
• Others

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Southeast Asia 
• Latin America
  • Brazil
  • Mexico
  • Argentina 
• MEA
  • UAE
  • South Africa
  • Saudi Arabia