Source: InstaWalli/Photos via E+Pixabay.
As advanced driver‑assistance systems become standard features and autonomous vehicle development shifts from experimentation toward selective real‑world deployment, consumer perception is increasingly shaping the pace and direction of automotive innovation.
Turning automotive feature technology into real customer adoption will depend on how convincingly it delivers everyday value. Trust, ease of use, and clearly articulated benefits will determine whether advanced vehicle technologies can scale beyond early adopters. Automation must reduce complexity rather than introduce new sources of uncertainty, while safety, cybersecurity and system reliability need to be demonstrated, not assumed. Pricing and value delivery will also shape adoption trajectories, as consumers remain selective about what they are willing to pay for. As software and connectivity increasingly define vehicle differentiation, aligning product strategy with consumer expectations will be essential to sustaining momentum and converting innovation into durable demand.
Advanced driver-assistance systems (ADAS) are moving from adoption to expectation
Consumers continue to view ADAS as a stepping stone toward full vehicle automation. Nearly two-thirds (62%) of respondents own or lease a vehicle equipped with driver‑assist technologies, and most drivers indicate strong future interest in these technologies. More than half expect their next vehicle to include ADAS, with blind spot monitoring, collision warning and avoidance, and lane assistance ranking among the most desired features. Users report high penetration of foundational capabilities: lane assistance (64%), blind spot monitoring (61%), adaptive cruise control (61%) and collision avoidance (61%). Advanced features like automatic high‑beam control (49%), digital mirrors (38%), and rear automatic braking (33%) are also steadily gaining traction. Consumers are willing to invest in these technologies, with a significant portion open to paying 5%-10% premiums. However, ease of use remains essential: Respondents cite the need for simplified instructions, clearer displays, intuitive controls and better audio alerts. Importantly, most users say ADAS reduces driving stress, though a minority still feel increased stress due to complexity or concerns about overreliance.
Concerns about trust and control temper growing interest in autonomy
While full autonomy remains aspirational, there is growing consumer openness — balanced by caution. When asked which model or brand they trust most, 40% of consumers do not feel informed enough to decide, 23% say it depends on the brands involved and 16% tend to trust companies that make both the car and self-driving technology. Contrary to previous years, the level of comfort with different automation levels has evolved. Level 1 (ADAS) has the highest acceptability (23%), followed by Level 2 (partial automation) at 22%. Level 3 (conditional automation) ranks lower at 15%. Interest in AV-related features is strongest for highway automated driving (33%), city automated driving (24%) and fully automated parking (23%). However, 38% of respondents prefer none of the listed autonomous features for their next vehicle, signaling lingering uncertainty. Concerns remain high around emergency response, interactions with conventional vehicles and pedestrians, liability, cybersecurity and regulatory sufficiency. Consumers are split on pricing: Nearly 40% would pay no premium for fully autonomous capabilities, while others are open to a moderate additional cost (5% to 10%). Use cases that resonate most — such as autonomous delivery, shuttles and municipal services — reflect comfort with automation in controlled environments, as opposed to private transport.
Robo-taxis face a trust-and-safety gap
Despite significant industry investment, consumer enthusiasm for autonomous vehicles is still limited. A combined 32% of respondents express interest in robo-taxi service (very or somewhat interested), but a large share (53%) say they are not interested; 15% are neutral. Among those open to using robo-taxis, motivations center on lower costs, greater availability, consistent service quality and environmental benefits. Conversely, concerns are substantial, including safety (60%), lack of human oversight (56%), reliability of technology (49%), data privacy (27%) and risks of delays or service issues (28%). Preferences for in‑ride activities illustrate the appeal of freeing up time that would otherwise be spent driving. In a partially automated (Level 3) vehicle, consumers would most likely monitor navigation, relax, or watch media. In a fully autonomous robo-taxi, preferences broaden to enjoying scenery, resting, socializing, eating or digital entertainment.
V2X capabilities are emerging as critical enablers of safety and traffic efficiency
Survey respondents show clear interest in these capabilities: collision avoidance (35%), hazardous-location alerts (32%) and pedestrian detection (32%) rank most desirable. When asked to choose the most important feature, vehicle collision avoidance leads by a wide margin (35%). Notably, nearly 30% of respondents do not want any V2X features in their next vehicle, highlighting persistent concerns around data sharing and technology dependency. Still, among those receptive to V2X, a majority agree their vehicle’s data should be used to enhance the ecosystem. Willingness to pay remains limited: 30% prefer no premium, but others accept modest cost increases (5%-10%).
The public benefits of ITS are acknowledged, though confidence is still forming
Consumers perceive significant benefits from intelligent transportation systems, particularly in safety and efficiency. Leading expected benefits include fewer accidents, cost savings, real‑time route optimization, reduced congestion and improved comfort. Despite recognition of potential value, concerns mirror those in the autonomous and V2X domains. System failures, reliability, and data privacy rank as top risks. Financial considerations also play a role, with respondents citing high implementation and maintenance costs as a barrier to widespread adoption. Support for municipal ITS investments is mixed but generally positive: 36% support or strongly support upgrades such as connected public transport and smart traffic lights, while 39% remain neutral. The results suggest openness but also a need for clearer public communication around ITS benefits and safeguards.
Awareness of software-defined vehicles remains limited among respondents
Only 18% say they are familiar with the concept, 17% have heard the term but do not fully understand it, and a majority (65%) have never heard of SDVs. When asked whether they see value in vehicles that can receive new features and improvements through software updates, responses are mixed: 39% say “maybe, depending on the features,” while 34% state they prefer traditional vehicles. Among those who see potential benefits, the top three advantages cited are improved safety through software upgrades, better performance optimization over time, and the ability to add new features via over-the-air updates. Conversely, the main concerns associated with SDVs include dependence on software updates, cybersecurity risks, and higher up-front costs compared with traditional vehicles.
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