Picture drones delivering packages, robots cleaning your house, or autonomous vehicles navigating city streets—all without human control. Welcome to the future – a world where machines operate independently, making decisions without human intervention. This isn’t science fiction anymore; it’s the “Autonomous World” – a rapidly approaching reality with the potential to reshape our lives and unlock a $10 trillion opportunity by 2035.
However, the journey isn’t without hurdles. Significant challenges include data management issues, unclear accountability frameworks, and the need to train systems to handle unfamiliar situations. Additionally, understanding and improving the limitations of simulated behavior remains a critical area for exploration.By 2035, the Autonomous World is expected to be a $10 trillion opportunity with around 900 million autonomous units in operation.
Autonomous world is good news for sensor manufacturers. We will see a camera-heavy architecture for level 1 and 2 vehicles where Mobileye is a key player. Sensor stack becomes progressively complicated with higher levels of autonomy. For example, the Mercedes Benz Level 3 system has over 30 sensors, including LiDAR, Camera, Radar, Ultrasonic sensors, and HD maps. In contrast, Japanese OEMs are focusing on a more conservative Camera, Radar, and HD map-based approach.
Household robots will be the most accessible to the average consumer, and the market is projected to grow at a CAGR of ~25% until 2035.
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