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Right To Repair and EU Data Act as a step towards data monetization.

Legislators try to shape the future

In recent years the automotive market has witnessed a growing amount of laws and regulations protecting customers across various markets. At the forefront of such legislation is the European Union, where the most significant disruption for modern software-defined vehicles come from the EU Data Act and EU AI Act. The legislation aims to control the use of AI and to make sure that the equipment/vehicle owner is also the owner of the data generated by using the device. The vehicle owner can decide to share the data with any 3rd party he wants, effectively opening the data market for repair shops, custom applications, usage-based insurance or fleet management.

Across the Atlantic, in the United States, there is a strong movement called “Right to Repair”, which effectively tries to open the market of 3rd party repair of all customer devices and appliances. This also includes access to the data generated by the vehicle. While the federal legislation is not there, there are two states that that stand out in terms of their approach to Right to Repair in the automotive industry – Massachusetts and Maine.

Both states have a very different approach, with Maine leaning towards an independent entity and platform for sharing information (which as of now does not exist) and Massachusets towards OEMs creating their own platforms. With numerous active litigations, including lawsuits OEMs vs State, it’s hard to judge what will be the final enforceable version of the legislation.

The current situation

Both pieces of legislation impose a penalty when it’s not fulfilled – severe in the case of EDA (while not final, the fines are expected to be substantial, potentially reaching up to €20 million or 4% of total worldwide annual turnover!), and slightly lower for state Right to Repair (for civil law suits it may be around $1000 per VIN per day, or in Massachusets $10.000 per violation).

The approach taken by the OEMs to tackle this fact varies greatly. In the EU most of the OEMs either reused existing software or build/procured new systems to fulfill the new regulation. In the USA, because of the smaller impact, there are two approaches: Subaru and Kia in 2022 decided to just disable their connected services (Starlink and Kia Connect respectively) in states with strict legislation. Others decided to either take part in litigation, or just ignore the law and wait. Lately federal judges decided in favor of the state, making the situation of OEMs even harder.

Data is a crucial asset in today’s world

Digital services, telematics, and in general data are extremely important assets. This has been true for years in e-commerce, where we have seen years of tracking, cookies and other means to identify customers behavior. The same applies to telemetry data from the vehicle. Telemetry data is used to repair vehicles, to design better features and services offering for existing and new models, identify market trends, support upselling, lay out and optimize charging network, train AI models, and more. The list never ends.

Data is collected everywhere. And in a lot of cases stored everywhere. The sales department has its own CRM, telemetry data is stored in a data lake, the mobile app has its own database. Data is siloed and dispersed, making it difficult to locate and use effectively.

Data platform importance

To solve the problem with both mentioned legislations you need a data sharing platform. The platform is required to manage the data owner consent, enable collection of data in single place and sharing with either data owner, or 3rd party. While allowing to be compliant with upcoming legislation, it also helps with identifying the location of different data points, describing it and making available in single place – allowing to have a better use of existing datasets.

A data platform like Grape Up Databoostr helps you quickly become compliant, while our experienced team can help you find, analyze, prepare and integrate various data sources into the systems, and at the same time navigate the legal and business requirements of the system.

Cost of becoming compliant

Building a data streaming platform comes at the cost. Although not terribly expensive, platform requires investment which does not immediately seem useful from a business perspective. Let’s then now explore the possibilities of recouping the investment.

• You can use the same data sharing platform to sell the data, even reusing the mechanism used to get user consent for sharing the data. For B2B use cases, the mechanism is not required.
• Legislation mainly mandates to share data “as is”, which means raw, unprocessed data. Any derived data, like predictive maintenance calculation from AI algorithms, proprietary incident detection systems, or any data that is processed by OEM. This allows not just to put a price tag on data point, but also to charge more due to additional work required to build analytics models.
• You can share the anonymized datasets, which then can be used to train AI models, identify EVs charging patterns, or plan marketing campaigns.
• And lastly, EU Data Act allows to charge fair amount for sharing the data, to recoup the cost of building and maintaining the platform. The allowed price depends on the requestor, where enterprises can be charged with a margin, and the data owner should be able to get data for free.

We can see that there are numerous ways to recoup the cost of building the platform. This is especially important as the platform might be required to fulfill certain regulations, and procuring the system is required, not optional.

The power of scale in data monetization

As we now know, building a data streaming platform is more of a necessity, than an option, but there is a way to change the problem into an opportunity. Let’s see if the opportunity is worth the struggle.

We can begin with dividing the data into two types – raw and derived. And let’s put a price tag on both to make the calculation easier. To further make our case easier to calculate and visualize, I went to high-mobility and checked current pricing for various brands, and took the average of lower prices.

The raw data in our example will be $3 per VIN per month, and derived data will be $5 per VIN per month. In reality the prices can be higher and associated with selected data package (the data from powertrain will be different from chassis data).

Now let’s assume we start the first year with a very small fleet, like the one purchased for sales representatives by two or three enterprises – 30k of vehicles. Next year we will add a leasing company which will increase the number to 80k of vehicles, and in 5 years we will have 200k VINs/month with subscription.

Of course, this represents just a conservative projection, which assumes rather small usage of the system and slow growth, and exclusive subscription to VIN (in reality the same VIN data can be shared to an insurance company, leasing company, and rental company).

This is constant additional revenue stream, which can be created along the way of fulfilling the data privacy and sharing regulations.

Factors influencing the value

$3 per VIN per month may initially appear modest. Of course with the effect of scale we have seen before, it becomes significant, but what are the factors which influence the price tag you can put on your data?

• Data quality and veracity – the better quality of data you have, the less data engineering is required on the customer side to integrate it into their systems.
• Data availability (real-time versus historical datasets) – in most cases real-time data will be more valuable – especially when the location of the vehicle is important.
• Data variety – more variety of data can be a factor influencing the value, but more importantly is to have the core data (like location and lock state). Missing core data will reduce the value greatly.
• Legality and ethics – the data can only be made available with the owner consent. That’s why consent management systems like the ones required by EDA are important.

What is required

To monetize the data you need a platform, like Grape Up’s Databoostr. This platform should be integrated into various data sources in the company, making sure that data is streamed in a close to real-time way. This aspect is important, as quite a lot of modern use cases (like Fleet Management System) requires data to be fresh.

Next step is to create pricing strategy and identify customers, who are willing to pay for the data. It is a good start to ask the business development department if there are customers who already asked for data access, or even required to have this feature before they invest in bigger fleet.

The final step would be to identify the opportunities to further increase revenue, by adding additional data points for which customers are willing to pay extra.

Summary

Ultimately, data is no longer a byproduct of connected vehicles – it is a strategic asset. By adopting platforms like Grape Up’s Databoostr, OEMs can not only meet regulatory requirements but also position themselves to capitalize on the growing market for automotive data. With the right strategy, what begins as a compliance necessity can evolve into a long-term competitive advantage.

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Data is the currency of the 21st century. Those who have access to it can manage it wisely and draw constructive conclusions to get ahead and outperform the competition. The business model based on their monetization is no longer the domain strictly reserved for the Silicon Valley giants. Also, companies whose products and services are not directly related to data trading are trying their hand in this field.  The automotive industry is one of the market sectors where data monetization will soon bring the greatest benefits. It is estimated that by 2030 it will be as much as $ 450-750 billion on a global scale.

 In this article, you will learn:

 What are the 4 megatrends to increase the amount of data from cars.

 * Which technologies will enable better data downloading.

 * Who can earn money from vehicle data monetization.

 * What are the three main data monetization strategies.

 * 28 practical use cases of how you can generate revenue.

The increase in revenues on this account is not only due to the electronics and sensors that are installed inside the vehicles. Social and cultural changes will also contribute to the increase in the amount of generated data - for example, the need to reduce city traffic and the search for ways of traveling alternative to vehicles with combustion engines.

Among the megatrends that will contribute to a greater inflow of data for monetization, the following are usually mentioned:

•     electrification;  
•     connectivity;  
•     diverse mobility / shared mobility;  
•     and autonomous driving.  

The trends that will transform the way we travel and use vehicles today are opportunities not only for OEMs (original equipment manufacturers), but also for insurance companies, fleet managers, toll providers, fuel retailers, and companies dealing with parking or traffic.

All these industries are increasingly joined by technologies that not only help to collect data but also to process it. The flow of information between these market sectors will enable the development of effective methods of obtaining data and creating new services that can be monetized.

In particular, it will be enabled due to the 8 developing technologies:

 1. Big data analytics

 2. High-speed data towers (5G)

 3. Software platforms

 4. Data cloud

 5. High definition maps

 6. High-resolution positioning (GPS)

 7. Smart road infrastructure

 8. V2X communication

Due to the extensive technological infrastructure, the amount of data that can be obtained from the vehicle will increase immeasurably with today's possibilities. It is estimated that in the near future, up to 10,000+ points from which data can be collected will be accessible in the car.

Understand the drivers and their needs

 /„The challenge for industry players is that data will not be car-centric, but customer-centric.” – European premium OEM”/

While technology plays a key role in converting data into real currency, we should bear in mind one thing. In fact, the data is generated not by the vehicle, but by its user. It is the user’s attitude towards technology, privacy, and convenience that determines the success of obtaining information. Without their consent and willingness, there is no effective data monetization strategy.

As the examples of Google or Facebook show, the use of data without users' knowledge sooner or later ends in lawsuits, reluctance, and consumers turning their backs on the brand.

So how can you get users' consent to share data?

The answer is simple - although putting it into practice may be a real challenge - offer something in return. If you give something to the driver, they will share the data you care about the most.

Among the universal benefits on which you can build a strategy for obtaining data from drivers, the following are especially noteworthy:

•     time savings,  
•     greater overall comfort and driving comfort,  
•     increased level of safety,  
•     reduction of vehicle operating costs,  
•     entertainment or increasing driving experience.  

Research shows that drivers are much more willing to share data about the external environment of the vehicle - e.g., driving conditions, the technical condition of the vehicle, or even its location. However, they are not so eager to share data from their vehicle interior, e.g., the possibility of recording conversations. However, the percentage of such approvals increases dramatically, up to 60%, when drivers are offered more safety in return.

Younger customers and frequent travelers (who spend over 20 hours in their cars weekly) are also more open to this type of service - which results from their attitude to life, as well as personal needs. Differences in attitudes to privacy can also be shown in different markets (e.g., in Asia, Germany, or the USA). This is due to cultural differences, data regulations, and the technological advancement of a given region.

Regardless of where the company operates, in order to consider effective data monetization, you need to answer three key questions:

1.     WHO drives a given car?  
2.     HOW do they behave behind the wheel?  
3.     WHERE do they drive?  

Understanding the consumer's needs and the way they travel is the starting point for developing an effective data monetization strategy. Only then can we choose the right tools and technologies enabling us to turn data into profits.

Monetizing car data - 28 practical use cases

Each case of data collection in a vehicle can potentially be turned into a benefit. It may concern one of the three areas:

1.     Generating revenue  
2.     Reducing costs  
3.     Increasing safety and security  

Data monetization strategies can be based on only one of these assumptions or be a mix of activities from different areas. Let's have a look at the specific methods that are currently developing in the automotive market.

1. Generating revenue

Generating revenue from data in  the automotive industry is frequently done by selling new functionalities and services. Usually (but not always), they are directly linked to the vehicle and are aimed at the driver (  direct monetization ).

Due to a large number of sensors and the fact that the car of the future will perfectly know and read the driver's needs, this type of vehicle is also perfect for being fitted with  tailored advertising .

The third way of generating income can also be  selling data to advertising companies that will use it to promote third-party brands. Obviously, this model causes the most distrust and reservations among the majority of consumers.

Direct monetization

1. Over-the-air-software add-ons / OTA

Do you want your car's operating system to be faster and more efficient? Or maybe you need to have it repaired, but you are too busy to visit your car dealer? Updating your software in the cloud will let you avoid stress and save you time. Analysts estimate that by 2022 automotive companies will have made about 100 million such vehicle updates annually.

2. Networked parking service

Being able to enter the car park without paying the traditional fee, and a suggestion where you can find a free space. Who wouldn't take advantage of such a convenience in congested cities, for a small surcharge or by providing the registration number of their own vehicle? The system of  smart car parks connected to the network offers such possibilities.

3. Tracking/theft protection service

A car is often a valuable and indispensable resource for company activities (but also for private individuals). Vehicle theft does not only involve a financial loss but often logistics-related issues, too. Users increasingly often agree to share their location and modern tracking systems that will easily locate the vehicle in the event of theft.

4. Vehicle usage monitoring and scoring

Who wouldn't want to pay less for vehicle insurance or its rental? Systems monitoring drivers’ behavior while driving and evaluating them in line with the regulations may soon become the standard of services offered by insurers and rental companies.

5. Connected navigation service

Real-time road traffic updates, current fuel prices at nearby filling stations, possible parking options, access to repair stations or car wash - all that by means of voice commands and questions we ask our GPS while driving. For such convenience, most drivers will be delighted to share their data.

6. Onboard delivery of mobility-related content /services

7. Onboard platform to purchase non-driving related goods

Just as the phone is no longer used merely for telephone calls, the car increasingly often plays additional roles. Listening to music from the Internet or streaming videos by passengers (or by the driver, when the car is parked) is completely normal today. Soon we can expect that shopping from the driver's seat will also become the order of the day. And not necessarily only shopping for goods related to mobility and the car.

8. Usage-based tolling and taxation

Each road user and road infrastructure is subject to the same tax obligations and fees. Meanwhile, modern technology allows us to monitor how we use the infrastructure and how often we do it. There is an extensive group of drivers who could save a lot by sharing this type of data with road management.

9. „Gamified” / social like driving experience

“Tell me and I will forget, show me and I may remember; involve me and I will understand.” - Confucius said over 2,500 years ago, and nothing has changed since. Having fun, competing with friends, and having personal experience are still the strongest incentives for us to take new action. It also relates to our purchases.

10. Fleet management solution

Managing a fleet of vehicles, each in different locations, driven by a different driver, and carrying a different load is a real challenge. Unless the entire fleet is managed using one central platform that collects data from individual vehicles. Then everything is close at hand.

11. In-car hot-spot

Mobile internet onboard? Not only the driver who can update necessary data and stay in touch with the base (in the case of a fleet vehicle) will benefit, but also the passengers. In-car hot-spot is an ideal product for companies from the telecom industry, travel companies, insurers, and fleets.

Tailored advertising

12. Predictive maintenance

Advertising is not scared of any medium and, like a chameleon, it adjusts to the environment in which it appears. A car that, just like a smartphone, gets new functions every now and then, becomes an ideal place for such activities. Especially those messages that help drivers predict possible breakdowns and remind them about the upcoming service or oil change are highly appreciated.

13. Targeted advertisements and promotions

Apart from targeting advertisements in terms of the needs related to the vehicle operation, advertisers can also select ads based on who and where is driving the car, the driver's age, gender, or interests. Of course, the accuracy of targeting depends on the amount of data that can be obtained from the vehicle user. Drivers can therefore see displayed ads based on their current and past behavior and linked to the businesses and places featured on their route.

Selling data

 Gathering vehicle data and selling it to third parties ? We only mention this point because, being experts, we feel it is our duty. As the previous and subsequent use cases show, there are many more creative ways, approved by drivers, that will allow them to benefit from car data.

2. Reducing costs

Data is a mine of information. Companies from the automotive industry can earn money not only by selling new products but also by enhancing existing solutions, reducing R&D costs, or offering cheaper services to users. Potentially, not only producers but also end users can benefit from data acquisition.

R&D and material costs reduction

14. Warranty costs reduction

Every year, companies from the automotive industry spend huge amounts of money on user warranty services. Data on how the vehicle is used, or what breaks down the most often can not only improve the service process itself and increase consumer satisfaction but also help make real savings in companies. Based on the analyzed information, it is possible to more precisely select the scope of warranty and its duration and even adjust it to specific users.

15. Traffic data based retail footprint and stock level optimization

By using advanced geospatial analysis, traditional stores and malls are capable of locating heavy-traffic areas. Wherever the number of vehicles and the frequency of trips increases, there is a potential for greater sales. It is also easier to plan and adjust the stock, expecting potential consumer interest. Companies from the automotive industry, which have data from vehicles, are a natural business partner for this submarket.

16. Data feedback based R&D optimization

Regardless of the sector in which we operate, the R&D department cannot exist without market feedback, looking for new trends and insights. In the automotive industry, continuous product optimization is the key to success. Data provided by managers is a constant source of inspiration and optimization that can contribute to a company's market position. Of course, provided that they are properly analyzed and used for new products.

Customers cost reduction

17. Usage-based insurance PAYD / PHYD

Switching from an insurance based on accident history to insurance based on date, time, and actual driving style? The advantages for the insurer do not need any explanation. For drivers who travel safely on the road and have nothing to be ashamed of,  pay as you drive (PAYD) or  pay how you drive (PHYD) insurance certainly has unquestionable benefits and is worth sacrificing a bit of privacy.

18. Driving style suggestions

Do you want to know how to drive more economically? How to adjust the speed to the road conditions or shorten the travel time? Systems installed in connected cars will be happy to help you with this. All you have to do is share information about how you are getting on behind the wheel.

19. E-hailing

24/7 availability, the possibility to order a ride from a location where there are no traditional taxis, the ease of paying via a mobile application. There are many advantages to using the services of brands such as Uber or Lyft. Although no one heard about these companies a few years ago, today  they set trends related to our mobility . All due to the skillful use of data and the creation of a business model based on the driver and passenger benefit.

20. Carpooling

Fuel economy and pro-ecological trends increasingly contribute to our conscious use of vehicles. Instead of driving alone, we share travel costs increasingly often and invite other people to travel with us. The creation of applications and infrastructure based on consumer data, which will facilitate driver and passengers recognition, is an ideal model for companies from the automotive industry.

21. P2P car sharing

Your car is parked in the garage because you cycle daily or use public transport? Rent it to other drivers via the  peer-to-peer platform and earn money. Of course, the company behind the mentioned application that connects both parties will also earn a few bobs on it, as that's what its business model is all about.

22. Trucks platooning

Connecting vehicles into convoys has existed as long as traffic. However, today's technology and data flow offer additional benefits. Trucks platooning is the creation of a convoy using communication technology and automated driving assistance systems. In such a convoy, one of the cars is the "leader", and the rest adapt to its actions, requiring no or little action from the drivers. Advantages for companies organizing a convoy? Lower Co2 emissions (up to 16% from the trailing vehicles and by up to 8% from the lead vehicle), better road safety, saving drivers time, and getting tasks done faster.

Improved customer satisfaction

23. Early recall detection and software updates

The data received from the vehicle enables early detection of faults and prevents unnecessary problems on the road, and even more - it allows to repair them remotely in the OTA (over-the-air) model. Thanks to such amenities, the driver does not have to download the required software or visit their authorized dealer in person to repair the vehicle.

3. Increasing safety and security

24. Driver’s condition monitoring service

Drowsiness and fatigue are some of the most common factors contributing to road accidents. Thanks to driver monitoring systems in the form of infrared sensors and a camera integrated into the steering wheel, the vehicle can warn the driver in advance and recognize symptoms that could lead to an accident or falling asleep at the wheel. This is one of the amenities that drivers most often agree on when it comes to sharing vehicle data.

25. Improved road/infrastructure maintenance and design

Analyzing data from vehicles can help both the drivers themselves and the road service. For instance, when cars regularly skid at some point - which is detected by ESP / ABS systems, road workers can introduce certain speed limits or improve the road profile. This type of data is also useful in planning road repairs when the renovation needs to be planned during less traffic volume.

26. Breakdown call service

Tyre pressure monitoring, battery and engine condition, fuel level, and electricity drops in the vehicle. Monitoring such data can prevent more than one accident, and should it happen, it helps the driver overcome the obstacles much faster. When roadside assistance knows where the driver is and what exactly happened to the car, it can react much faster or instruct the driver how to fix the problem.

27. Emergency call service

Data from connected cars can save not only our holidays but also our lives. When every second counts and the driver or other road users cannot call an ambulance or fire brigade,  the connected car will do it for them. Thanks to the emergency call service option, the vehicle sends information about the location of the vehicle and its status to the appropriate services.

28. Road laws monitoring on enforcement

 Data collected from vehicles - especially on a large scale - can tell a lot about the way a given group drives or about the compliance with the rules of the road. Providing data from your own vehicle to the traffic law monitoring services can improve our habits, reduce the number of road hogs and drunk drivers, and help adjust the law to new conditions.

Crucial factors in data monetization

The data stream generated by vehicles will increase year by year. In order to be well prepared for the monetization of this information and not to miss the opportunities for the automotive industry for additional sources of income, it is crucial to take care of several key issues.

•     First of all    : find a steadfast IT partner with experience in the field, who will supplement the competencies of the OEM with cloud solutions, AI, and building platforms based on data monitoring and analysis.
•     Secondly    : constantly create and test car products and services based on real needs and amenities for customers - which is inherently related to the next point.
•     Thirdly    : create an open policy for the management of customers’ data that rules out trading in confidential information or unclear or misleading regulations of data use.

Only the development of a business strategy based on all these assumptions can bring real benefits and help stand out from the competitors.

As you can see, this is not a simple and quick process to implement, as many entities are involved in it, and various interest groups may clash. So, is the game worth the candle? The answer is in the stories of telephone companies that used to believe that the telephone should only be used for making calls, and it did not have to be smart.

Whether we like it or not, vehicles are changing right before our very eyes and are increasingly often used not only for getting from A to B. People who do not understand it and do not see the opportunities facing  the automotive industry may soon share the fate of the mobile giants from over a dozen years ago.

The EU Data Act is about to change the rules of the game for many industries, and automotive OEMs are no exception. With new regulations aimed at making data generated by connected vehicles more accessible to consumers and third parties, OEMs are experiencing a major shift. So, what does this mean for the automotive space?

First, it means rethinking  how data is managed, shared, and protected . OEMs must now meet new requirements for data portability, security, and privacy, using software compliant with the EU Data Act.

 This guide will walk you through how they can prepare to not just survive but thrive under the new regulations.

                   The EU Data Act deadlines OEMs can’t miss                
   
    -          Chapter II         (B2B and B2C data sharing) has a deadline of September 2025.    
    -          Article 3         (accessibility by design) has a deadline of September 2026.    
    -          Chapter IV         (contractual terms between businesses) has a deadline of September 2027.          

Compliance requirements for automotive OEMs

The EU Data Act establishes  specific obligations for automotive OEMs to ensure secure, transparent, and fair data sharing with both consumers (B2C) and third-party businesses (B2B). The following key provisions outline the requirements that OEMs must fulfill to comply with the Act.

B2C obligations

1.     Data accessibility for users:    
    
   •    Connected products, such as vehicles, must be built in a way that makes data generated by their use accessible in a structured, machine-readable format. This requirement applies from the manufacturing stage, meaning the design process must incorporate data accessibility features.  
    
2.     User control over data:    
    
   •    Users should have the ability to control how their data is used, including the right to share it with third parties of their choice. This requires OEMs to implement systems that allow consumers to grant and revoke access to their data seamlessly.  
    
3.     Transparency in data practices:    
    
   •    OEMs are required to provide clear and transparent information about the nature and volume of collected data and the way to access it.  
    
   •    When a user requests to make data available to a third party, the OEM must inform them about:  
    

a) The identity of the third party

b) The purpose of data use

c) The type of data that will be shared

d) The right of the user to withdraw consent for the third party to access the data

B2B obligations

 1. Fair access to data:

•  OEMs must ensure that data generated by connected products is accessible to third parties at the user’s request under fair, reasonable, and non-discriminatory conditions.
•  This means that data sharing cannot be restricted to certain partners or proprietary platforms; it must be available to a broad range of businesses, including independent repair shops, insurers, and fleet managers.

 2. Compliance with security and privacy regulations:

•  While sharing non-personal data, OEMs must still comply with relevant data security and privacy regulations. This means that data must be protected from unauthorized access and that any data-sharing agreements are in line with the EU Data Act and GDPR.

 3.  Protection of trade secrets

•  OEMs have a right and obligation to protect their trade secrets and should only disclose them when necessary to meet the agreed purpose. This means identifying protected data, agreeing on confidentiality measures with third parties, and suspending data sharing if these measures are not properly followed or if sharing would cause significant economic harm.

Understanding the specific obligations is only the first step for automotive OEMs. Based on this information, they can build software compliant with the EU Data Act. To navigate these new requirements effectively, OEMs need to adopt an approach that not only meets regulatory demands but also strengthens their competitive edge.

Thriving under the EU Data Act: smart investments and privacy-first strategies

 Automotive OEMs must take a strategic approach to both their software and operational frameworks,  balancing compliance requirements with innovation and customer trust. The key is to prioritize solutions that improve data accessibility and governance while minimizing costs. This starts with redesigning connected products and services to align with the Act’s data-sharing mandates and creating solutions to handle data requests efficiently.

Another critical focus is  balancing privacy concerns with data-sharing obligations . OEMs must handle non-personal data responsibly under the EU Data Act while managing personal data in accordance with GDPR. This includes providing transparency about data usage and giving customers control over their data.

To achieve this balance, OEMs should identify which data needs to be shared with third parties and integrate privacy considerations across all stages of product development and data management. Transparent communication about data use, supported by clear policies and customer controls, helps to reinforce this trust.

Opportunities under the EU Data Act

The EU Data Act presents compliance challenges, but it also offers significant opportunities for OEMs that are prepared to adapt. By meeting the Act’s requirements for fair data sharing, OEMs can expand their services and build new partnerships. While direct monetization from data access fees is limited, there are numerous opportunities to leverage shared data to develop new value-added services and improve operational efficiency.

Next steps for automotive OEMs

To move to implementation, OEMs must take targeted actions that address the compliance requirements outlined earlier. These steps lay the groundwork for integrating broader strategies and turning compliance efforts into opportunities for operational improvement and future growth.

 Integrate data accessibility into vehicle design

Start integrating  data accessibility into vehicle design now to comply by 2026. This involves adapting both front and back-end components of products and services to enable secure and seamless data access and transfer according to the EU Data Act.

 Provide user and third-party access to generated data

Introduce easy-to-use mechanisms that let users request access to their data or share it with chosen third parties. Access control should be straightforward, involving simple user identification and making data accessible to authorized users upon request. Develop dedicated data-sharing solutions, applications, or portals that enable third parties to request access to data with user consent.

 Implement trade secret protection measures

OEMs should protect their trade secrets by identifying which vehicle data is commercially sensitive. Implement measures like data encryption and access controls to safeguard this information when sharing data. Clearly communicate your approach to protecting trade secrets without disclosing the sensitive information itself.

 Implement transparent and secure data handling

Provide clear information to users about what data is collected, how it is used, and with whom it is shared. Transparent data practices help build trust and align with users' data rights under the EU Data Act.

Remember about the non-personal data that is being collected, too. Apply appropriate measures to preserve data quality and prevent its unauthorized access, transfer, or use.

 Enable data interoperability and portability

The Act sets out essential requirements to facilitate the interoperability of data and data-sharing mechanisms, with a strong emphasis on data portability. OEMs need to make their data systems compatible with third-party services, allowing data to be easily transferred between platforms.

For example, if a car owner wants to switch from an OEM-provided app to a third-party app for vehicle diagnostics, OEMs must not create technical, contractual, or organizational barriers that would make this switch difficult.

 Prepare the data

Choose a data format that fulfills the EU Data Act’s requirement for data to be shared in a “commonly used and machine-readable format.” This approach supports data accessibility and usability across different platforms and services.

Moving forward with confidence

The EU Data Act is bringing new obligations but also offering valuable opportunities. Navigating these changes may seem challenging, but with the right approach, they can become a catalyst for growth.

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