ADAS in India: How Automatic Emergency Braking, Blind Spot Detection & Driver Monitoring are Transforming Road Safety

As per a study by 6Wresearch, the Indian automotive industry is witnessing a transition towards intelligence-enabled safety mechanisms being as important as vehicle performance. The rapid amalgamation of stringent safety norms, digital revolution, electrification, and connected automobiles has changed the design and purchase experience of vehicles. This transformation is significantly contributing to the growth of the India Advanced Driving Assistance Systems (ADAS) Market, as automakers increasingly prioritize intelligent safety technologies. The driving force behind this transition is Advanced Driver Assistance Systems (ADAS), which is evolving from a premium feature into a mainstream safety requirement.

According to Pankaj Khandelwal, Head of Strategy and Growth, the significance of intelligent safety solutions cannot be overstated. With a mere 1% share in the global vehicle market, India contributes nearly 11% of road fatalities globally, with the figure exceeding 1.68 lakh deaths in road accidents in 2022. These figures point towards the need for technology that can actually prevent an accident and not just protect its occupants in the event of one. Additionally, efforts like Bharat NCAP have made buyers consider safety ratings when choosing their automobile.

In this ever-changing ecosystem, ADAS has evolved from being just a luxury feature to a crucial element of advanced mobility solutions. Technologies like Automatic Emergency Braking (AEB), Adaptive Cruise Control, Blind Spot Detection, Lane Keeping Assist, Driver Monitoring System, and Intelligent Parking Assist are slowly but surely gaining acceptance among users who view them as important tools to boost safety and reduce accident risks. Above all, ADAS plays a key role in bridging the gap between the existing cars and future self-driving vehicles.

While the other countries have well-defined and predictable traffic conditions on well-organized roads, the situation in India is relatively different, with a combination of two-wheelers, pedestrians, heavy traffic, animals, objects blocking lanes, irregular lane marking, and unpredictable driving practices. Due to these factors, simply importing technologies from around the world will not yield the best results possible. What India needs is a solution based on data from the specific datasets.

Thus, a transition from technology adoption to technology localization is observed in the industry. AI-driven perception systems, sophisticated sensor fusion techniques, computer vision algorithms designed specifically for Indian conditions, mapping systems, and modularity of software platforms are becoming crucial tools in helping scale the technology. With software-defined cars becoming a reality, over-the-air updates will make possible continuous upgrading of ADAS features without making major hardware changes to the vehicle.

Moreover, consumer awareness is evolving rapidly. Although consumers understand that ADAS technologies improve safety and represent high-end features in automobiles, they still lack understanding about the abilities and restrictions associated with such systems. Establishing consumer confidence will be key to developing a clear human-machine interaction interface and clear communication regarding system capabilities. The ability to properly calibrate and maintain the system will play an equally important role.

According to 6Wresearch Survey, safety is still the first priority when purchasing new vehicles, where the Automatic Emergency Braking (AEB) turns out to be the most popular feature among different segments of ADAS users depending on income level, type of occupation, driving habits, etc. Specifically, about 86.3% of ADAS users claim that the system positively impacted their driving patterns while 82.3% think that ADAS is capable of lowering the risks of getting into an accident. Nevertheless, customers are not seeking automation for its own sake; they want systems that enhance safety without compromising driving control. In this regard, nearly 53% of consumers would like to retain total control in cases when it really matters, and only 47% prefer being slightly guided by the system.

Drivers increasingly expect features that can seamlessly support both urban and highway driving conditions, including Adaptive Cruise Control, Blind Spot Detection, Lane Departure Warning, Parking Assistance, and Forward Collision Warning. Unfortunately, there are still a number of pain points that influence consumer satisfaction negatively. About 40% of ADAS users faced some troubles in terms of using ADAS, with brakes-related concerns accounting for 21.3% of complaints, followed by cruise control at 16.4%, sensor and collision-detection issues at 9.8%, and lane-assist problems at 8.2%. Users also reported confusion caused by excessive alerts, intrusive interventions, inconsistent performance in poor weather conditions, and difficulties interpreting system behavior during real-world driving scenarios. These findings suggest that customers are seeking reliability, transparency, customization, and contextual intelligence rather than simply a broader set of ADAS features.

The future competition between the OEMs would be characterized by not adding new features but by usability and localization improvements, and building a sense of trust among customers. The current trend toward customization indicates that there is a need to enable drivers to fine-tune parameters such as alert frequency, level of system intervention, and feature behavior depending on the traffic conditions. Due to the difficulties with accurate braking, lane keeping, sensor quality, and system adaptation, there is a need for OEMs to consider local settings rather than using general ADAS setups.

Educational initiatives, intuitive interfaces, and improved driver onboarding can play a significant role in reducing confusion and increasing adoption. As customer confidence and system performance go hand in hand, those OEMs which manage to successfully integrate localized software intelligence, adaptive behavior, and transparent interaction will have the best prospects for ADAS acceptance in the Indian market environment.

Another interesting trend is the advent of the aftermarket ADAS ecosystem, where retrofittable blind spot detection systems, forward collision warning systems, driver monitoring systems, and parking assist systems can help extend the capabilities of advanced safety technology beyond new cars. The success of this segment, however, will be highly dependent on standard installation practices, calibration procedures, technician expertise and service infrastructure to ensure consistent system performance.

In terms of future, the next phase of ADAS evolution in India can be associated with increased integration and interaction rather than separate components or solutions. In this regard, such innovations as vehicle-to-everything communications, risk prediction using data analysis, AI-powered driver behavior recognition, cloud-based diagnostics, and sensor fusion will help create smart ecosystems of intelligent transportation and mobility. Meanwhile, the rapid development of the network of expressways throughout India will increase the practical significance of ADAS technologies.

With the growth of the market, leadership won’t be based solely on being technologically advanced. Those companies that will be able to integrate software expertise, scale, calibration skills, partnerships, service across the lifecycle of the technology, and customer education into their strategy will be able to differentiate themselves from others. In this context, ADAS is no longer just another vehicle feature, it is becoming a foundational pillar of India’s future mobility ecosystem and a catalyst for safer, smarter, and increasingly connected transportation.

About 6Wresearch

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