Unlocking the Value of Car Data: A UK Insight

Over the past few years, the concept of car connectivity has dramatically shifted from a theoretical discussion to a tangible reality on our roads. This evolution signals a monumental shift in the automotive landscape, with the potential to create a global value pool estimated to reach a staggering $450 billion to $750 billion by 2030. However, fully realising this immense potential hinges on the industry's collective ability to effectively leverage the vast amounts of data generated by vehicles, drivers, and broader mobility systems. This data must be transformed into innovative products and services that not only generate revenue and reduce costs but also significantly enhance safety and security. Despite the clear economic promise, monetising this deluge of car data at scale remains a significant and complex challenge for all involved.

The journey to understand this intricate domain involved extensive research, engaging both end-users and seasoned industry insiders across the globe. Surveys were conducted with thousands of customers in key markets, complemented by roundtables and interviews with over 60 automotive industry leaders. This deep dive aimed to gauge the sector's attitudes towards car data monetisation and the progress of various players' programmes. The findings reveal a landscape rich with opportunity but fraught with hurdles, particularly concerning how value is communicated, organisational structures are adapted, and essential partnerships are forged.

The Connected Car Revolution: A Goldmine of Data

The sheer volume of available car data is continuously growing, fuelled by an increasing number of sophisticated sensors embedded within vehicles and integrated into mobility infrastructure. These sensors capture an astonishing array of information, detailing nearly every aspect of a driver's interaction with their car, its operational performance (or malfunctions), and its precise movements. Organisations that can harness this connected technology to develop novel, in-vehicle experiences for drivers and passengers stand to gain a considerable competitive advantage. This burgeoning market already encompasses more than 30 distinct car data-enabled use cases, all focused on delivering new features and services to customers. These range from connected infotainment systems and remote vehicle diagnostics to automated emergency breakdown calling and even highly tailored in-car advertising.

For industry participants, these diverse use cases are underpinned by three fundamental value-creation models: direct revenue generation, substantial cost reduction, and the crucial enhancement of safety and security. While the economic potential is undeniably clear, players across the car data ecosystem—including Original Equipment Manufacturers (OEMs), suppliers, technology and infrastructure providers, service providers, and dealers—have yet to fully capture the inherent value, whether in terms of revenue, improved safety, or cost savings, from this unprecedented data flow. Our research consistently highlights what industry executives refer to as the “car data monetisation gap”—the disparity between the potential value of car data and the actual revenue or savings that mobility players currently generate from it.

Navigating the "Car Data Monetisation Gap"

Several specific challenges contribute to this gap, demanding strategic attention and innovative solutions from all stakeholders.

Communicating the Value Proposition

Regardless of the sophisticated features that car data can enable, capturing value from them is simply unfeasible if consumers do not clearly perceive the benefit. A staggering 84 percent of surveyed executives identified this as a highly relevant challenge for car data monetisation. Yet, only half believed their organisations were adequately prepared to address it. Executives frequently noted that their current "connected service" strategies often lack a clear, end-state vision of the customer needs they aim to fulfil, instead evolving incrementally based on hardware and software advancements. Beyond understanding how these features might simplify their lives, customers must also trust that the data they share will be handled and used responsibly. Furthermore, they need to be convinced that the exchange—whether through advertising exposure or a direct fee—is genuinely worthwhile relative to the feature's perceived value.

Redefining the Organisational Model

A significant 77 percent of executives agreed that managing such a diverse set and vast amount of data, in ways that lead to the development of new connected services, will necessitate a fundamentally different organisational approach. While various "organisational archetypes" around connected services exist, each with its own pros and cons, surveyed executives displayed largely diverging perspectives on the preferred future model. The fact that 69 percent of executives felt their companies would need to evolve to a different long-term organisational model, yet still lacked a clear vision of the ideal structure, underscores the difficulty of this challenge. What executives did overwhelmingly agree upon is the need for a challenging transformation away from rigid, "siloed" operations. Specifically, companies must become more agile to continuously adapt to a rapidly evolving market, and commit to a higher degree of cross-functional collaboration to extend the benefits of digital transformation across the entire organisation.

Establishing Partnerships

The development of car data-enabled features often requires a breadth of skills and resources that stretch beyond the capabilities of any single player. To bridge this gap, effective partnerships and collaboration will be absolutely key. Survey results indicate a widely varying degree of readiness among players for establishing such partnerships, ranging from 43 to 85 percent, which does not foster an atmosphere conducive to widespread collaboration. Interestingly, executives overwhelmingly identified OEMs and large organisations as the most challenging partners to work with, rather than start-ups or tech players. Nonetheless, those operating in the car data monetisation space will have to develop robust digital ecosystems along the value chain, the precise shape of which will depend on whether they aim to expand their reach across technologies or across various business models.

Player-Specific Challenges and Opportunities

While the hurdles apply to the industry as a whole, their specifics vary significantly for different types of players in the value chain. Consequently, while all companies might target value creation through car data monetisation, their exact path depends on their position.

• OEMs: A primary hurdle for OEMs is the critical need to shift from a product-forward to a market-back development approach. 58 percent of OEM executives surveyed admitted they lacked a clear understanding of the benefits customers were seeking. This highlights the imperative to first define a clear vision for the connected customer experience, and only then develop the necessary hardware and back-end solutions to fulfil that vision.
• Suppliers: Suppliers must carefully balance the benefits and inherent tensions of partnerships with OEMs. This involves defining a mutually beneficial value proposition to gain access to crucial vehicle data and build new capabilities, prerequisites that 92 percent of supplier executives identified as essential for success.
• Technology and Infrastructure Players: Key challenges for these players include resolving their reported lack of readiness to form partnerships (flagged by 42 percent of executives). It will also be critical to address OEMs’ apprehension of the “tech unknown,” working closely to allay concerns that technology and infrastructure companies’ unfamiliar business models and their ability to directly access customers through other digital touchpoints could potentially undercut the OEMs.
• Service Providers: For service providers, it is paramount to highlight brand visibility and relevance within the car environment, redesign services and experiences to optimally fit connected-car interfaces, and overcome the challenge of effectively communicating benefits to the consumer – a concern raised by 90 percent of service-provider respondents.
• Dealers: These players need to focus intensely on communicating connectivity’s consumer benefits in an engaging and accessible way. Simultaneously, they must initiate a direct dialogue with OEMs regarding their future role as critical customer contact points in the connected cars era, redefining the customer journey and future customer contact policies.

The Three Pillars of Successful Car Data Monetisation

For Big Data applications in the automotive sector to truly succeed and yield meaningful value, certain fundamental criteria must be met. Simply collecting and aggregating vast amounts of vehicle telematics data, without sufficient selectivity or qualification, is unlikely to lead to the useful insights necessary to identify patterns, reveal trends, and derive statistically significant results. The success of car data monetisation rests on three crucial pillars:

Pillar 1: Data Management – Integrity, Security, and Privacy

Building a robust business model that involves the capture, validation, provisioning, and distribution of massive volumes of vehicle data and driver behaviour information demands considerable expertise and supporting infrastructure. Under the umbrella of data management, several specific areas of data handling must be meticulously addressed to meet the concerns of all stakeholders, particularly OEMs and consumers.

• Transparency: Every byte of data about a vehicle and its operator must be subject to full transparency and explicit consent. The driver must be consistently informed about what automotive data is being collected, how it will be used, for how long it will be stored, who else will have access to it, and what prerogatives the driver or vehicle owner has for terminating consent for its use. The most effective Big Data applications in automotive often assume an "always-on" model, capable of capturing vehicle data throughout its entire lifecycle, whether in motion or parked, and encompassing a very wide range of parameters. The vehicle operator must provide specific consent for the collection and use of each of these parameters, from vehicle location and driver operations (such as speed, braking, and G-force of turns) to identifying the person behind the wheel at any given moment.
• Privacy: Different jurisdictions globally have varying levels of regulations and mandates concerning individual data privacy. These laws can be incredibly complex and may even overlap depending on the region or even within countries. Data privacy is paramount not only for legal and regulatory compliance, which both the OEM and any partners must adhere to, but also as a fundamental business principle of respecting and protecting all information related to their customers. Failure to pay adequate attention to data privacy could subject an OEM to substantial fines, damage their industry stature, and cast a dark shadow over how they are perceived by customers. When working through a service or intermediary handling data on behalf of an OEM, the OEM must ensure that strong data privacy protections are explicitly included in any agreement and consistently followed.
• Security: Ensuring secure data exchanges is integral to any data monetisation effort. This involves rigorously monitoring and tracking where data is being sent, its origin, and whether encryption is consistently used to secure data while in transit. Any areas in the data path that potentially allow intrusions or serve as vectors for abuse must be remediated to mitigate risk. Risk manifests in many different dimensions, and robust security measures should always be implemented wherever a potential risk is identified. With rigorous, secure data protection mechanisms firmly in place, hacking becomes a non-issue rather than a persistent concern for OEMs.
• Required Vehicle Equipment: Various mechanisms exist for capturing and transmitting vehicle and driver data. The hardware and software supporting this effort must be carefully factored into the plan for monetising car data. The range of hardware and vehicle types supported introduces a layer of complexity. Of critical importance to any monetisation programme is the capability of collecting, cleansing, normalizing, and unifying collected data so that, irrespective of the OEM’s hardware decisions, the vehicle and driving information is delivered to each beneficiary in a uniform, usable format. Monetisation demands the consistent and verifiable management of data across this spectrum of devices. To maximise data value, this management should include the earliest devices in the market, all those currently operating, and new devices as they are introduced, always maintaining backward compatibility.

Pillar 2: Sufficiency of the Data

For Big Data applications in the automotive sector to be successful, certain criteria must be met beyond mere volume. Simply collecting and aggregating huge amounts of vehicle telematics data, without being sufficiently selective or qualifying the nature of the data, is unlikely to lead to the kinds of useful insights that will identify patterns, reveal trends, and derive statistically significant results. Before embarking on a project involving automotive data, key questions should be resolved at the earliest stages of planning:

• Considering the full range of data being captured, which data points are most relevant to the desired outcomes?
• How much data is truly needed to effectively drive the analytics and provide actionable value?
• Over what specific time period should data be collected to ensure that the analytic results can be trusted with a high degree of confidence?

Partnering with an organisation experienced in the collection and processing of vehicle and driving data can provide expert answers to these questions and offer assurance that the results derived from the data will be consistent with the project's objectives.

Pillar 3: Uses of the Data (Innovation and Value Creation)

Once the mechanisms are in place to capture the data, and permissions have been granted for acceptable uses, the crucial question arises: what innovative things can be done with this data? This is the area where innovation, imagination, and cross-industry cooperation truly converge—the point where new opportunities emerge and fresh services can be developed. At this stage, the value of the data depends significantly on its intended usage and the specific area of interest.

• Government and Urban Planning: City and state government organisations have a profound interest in traffic control and ensuring safe vehicle road use. Emerging applications that track a vehicle’s movements over specific roads or turnpikes can enable fair-use road charges for drivers utilising these roadways, based on actual data. Other mobility data derived from vehicle locations can help reduce traffic congestion by intelligently manipulating traffic signals and automating passage through tollbooths.
• Insurance Companies: Insurance providers are keenly interested in connected car data that reveals driver behaviour patterns, vehicle safety features, maintenance history, and driver lifestyle. This data holds considerable value for them, and arranging a vehicle data exchange can benefit the OEM, the insured party, and the insurer alike, particularly in the realm of Usage-Based Insurance (UBI).
• OEM Ecosystem and Aftersales: The OEM ecosystem also benefits tremendously from connected car data. Automotive service facilities with access to diagnostic and status data associated with a vehicle can leverage predictive analysis, incident logs, and historical data from similar vehicles to proactively communicate with drivers about issues requiring quick intervention or near-term attention. Other applications include understanding a driver’s habits, preferences, and lifestyle to better match the vehicle’s features, maintenance schedules, and service programmes to the owner’s specific requirements.
• Emerging IoT Applications: Beyond uses envisioned for government organisations, vehicle service centres, and insurance companies, numerous opportunities exist—many still in the infancy stages of planning—for data that indicates consumer preferences, lifestyle matters, and daily routines. These opportunities often require a convergence of information from different sources, typical of emerging Internet of Things (IoT) applications. The more connected car-related data points from various sources that can be pulled into analytics, the more intelligence can be derived. Automakers can capitalise on providing highly personalised services to prospective car owners. While some capabilities have been introduced as piecemeal programmes, their full potential will only be realised once a dynamic ecosystem is established to serve as a data exchange and conduit for diverse information sources.

BMW's Approach to Telematics Data

Leading manufacturers like BMW are already demonstrating practical approaches to car data access and monetisation. BMW and MINI customers can securely view their telematics data within their customer portals and, with their permission, share this information with service providers. Telematics data is securely transferred in an encrypted format via the BMW ConnectedDrive Server, and service providers can access this data via the BMW CarData API, illustrating a clear pathway for responsible data sharing and utilisation.

Frequently Asked Questions About Car Data Monetisation

How much is car data monetisation potentially worth?

Industry analysis suggests that the global value pool from car connectivity, largely driven by data monetisation, could reach between $450 billion and $750 billion worldwide by 2030. This highlights the immense economic potential of effectively using vehicle-generated data.

What are the main challenges in monetising car data?

Key challenges include effectively communicating the value proposition of data-driven services to consumers, redefining traditional organisational models to be more agile and collaborative, and establishing robust partnerships across the diverse automotive value chain.

How can OEMs monetise vehicle data effectively?

OEMs need to shift from a product-first to a market-back development approach, focusing on understanding clear customer needs for connected experiences. They also need to manage data transparently, ensure privacy and security, and foster strong partnerships with suppliers and tech companies to build comprehensive data ecosystems.

Is my personal car data safe and private?

Data privacy and security are paramount. Reputable organisations strive for full transparency, informing drivers what data is collected, how it's used, and who accesses it. Strong encryption and robust security protocols are essential to protect data in transit and at rest, mitigating risks of unauthorised access or misuse. Consent mechanisms are also crucial for ensuring privacy.

What are some practical uses of connected car data?

Connected car data has numerous applications, including predictive vehicle maintenance, usage-based insurance (UBI), real-time traffic management for cities, personalised in-car infotainment, automated emergency services, and tailored advertising. It also helps OEMs understand driver behaviour to improve future vehicle design and service offerings.

In conclusion, the journey to monetise car data is complex but undeniably holds transformative potential for the automotive industry. It demands a strategic, collaborative, and, most importantly, customer-centric approach. Overcoming the challenges related to value communication, organisational agility, and the formation of robust partnerships will be crucial. By taking an objective look at their current standing and committing adequate resources, companies can truly move from the "buzz" of connected car discussions to generating substantial "bucks" on the highway to data monetisation, shaping a safer, more efficient, and more personalised future of mobility for us all.

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