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Trends in consumer spending on autonomous vehicle technology

Consumer spending on autonomous vehicle technology is on a rapid growth trajectory, fueled by increasing adoption of advanced driver-assistance systems (ADAS) and fully autonomous driving features.

Forecast on vehicles with autonomous technology
Forecast on vehicles with autonomous technology

According to Berg Insight, 68.6 percent of global new car sales in 2024 featured at least SAE Level 1 capabilities, and this figure is projected to rise to 90.4 percent by 2030. Mid-level autonomy (Level 2) is gaining the most traction, with its adoption expected to nearly double — from 28.1 percent in 2024 to 51.2 percent by 2030.

More notably, Level 3 (L3) autonomous vehicles are set to reach 7.7 million units by 2030, while Level 4 (L4) vehicles are forecast to hit 2.6 million units, highlighting a significant shift in consumer readiness to invest in advanced autonomy.

Major automakers are aggressively expanding their autonomous capabilities to meet this demand. Mercedes-Benz and BMW are among the pioneers in offering Level 3 systems, with Drive Pilot and Personal Pilot L3, respectively.

Tesla continues to invest in its Autopilot and Full Self-Driving systems, while Ford and General Motors push forward with BlueCruise and Super Cruise. Audi, Toyota, Nissan, and Hyundai also offer advanced ADAS suites with adaptive cruise control, lane-keeping assist, and automated emergency braking.

Chinese OEMs — including BYD, Changan, Geely, NIO, and SAIC — are becoming global leaders in ADAS innovation, benefiting from a favorable regulatory environment and high consumer interest in automation.

The robotaxi segment, another major frontier of consumer-facing autonomy, is dominated by U.S. and Chinese firms such as Waymo, Baidu Apollo, Pony.ai, and AutoX, with services already operational in selected cities.

This market momentum is supported by a broad ecosystem of suppliers. Leading Tier 1 companies like Bosch, Continental, ZF Group, and Denso are delivering integrated ADAS platforms with sensors and compute modules.

Semiconductor vendors — including NVIDIA, Qualcomm, Mobileye, and Horizon Robotics — are driving core AI processing advancements through high-performance System-on-Chip (SoC) platforms tailored for automated driving.

LiDAR sensor makers such as Hesai, Luminar, and RoboSense are also seeing increased investment as vehicle manufacturers integrate multiple sensing modalities to ensure safety and redundancy. Meanwhile, mapping specialists like HERE Technologies and TomTom provide the high-definition maps critical for localization and route planning.

Overall, growing consumer willingness to pay for automation features, combined with accelerated OEM strategies and supporting vendor innovations, signals a new era of spending and competition in the autonomous vehicle space.

InfotechLead.com News Desk

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