Self-Driving Truck Market Size, Revenue, Trend Report 2026 to 2035 What is Self-Driving Truck Market? Global Self-Driving Truck Market Size is valued at USD 2.54 Bn in 2025 and is predicted to reach USD 64.72 Bn by the year 2035 at a 38.4% CAGR during the forecast period for 2026 to 2035. Self-Driving Truck Market Size, Share & Trends Analysis Distribution by Component (Hardware, Software, Services), By Application (Logistics and Transportation, Construction and Manufacturing, Mining, Port, Others), By Level of Automation (Level 1, Level 2, Level 3, Level 4, Level 5), Telecom and IT, Media and Entertainment, Travel and Logistics, Other Verticals), By Propulsion Type (Internal Combustion, Hybrid Transmission, Electric Transmission) and Segment Forecasts, 2026 to 2035. The self-driving truck market includes the development, commercialization, and deployment of autonomous trucks. These trucks are equipped with sensing technologies, artificial intelligence (AI), machine learning, high-definition mapping, and connectivity features that allow them to operate with little or no human help. They use components like LiDAR, radar, cameras, GPS, onboard computing systems, and driving software to handle essential driving tasks. These tasks include lane keeping, adaptive cruise control, obstacle detection, navigation, and decision-making. Self-driving trucks are being developed with different levels of automation, from driver-assistance systems to fully autonomous vehicles (SAE Level 5). They aim to improve freight movement in long-haul, middle-mile, mining, port, and industrial applications. The technology increasingly integrates with telematics, fleet management systems, and cloud-based platforms to improve operational visibility, predictive maintenance, and vehicle performance. The market is growing steadily as logistics providers, truck manufacturers, technology developers, and fleet operators invest in autonomous transportation solutions. They seek to modernize freight operations and meet changing supply chain needs. More pilot deployments, strategic partnerships between commercial vehicle manufacturers and autonomous technology firms, and continuous improvements in AI-driven perception and driving software are