PUBLISHER: Grand View Research | PRODUCT CODE: 1575095
PUBLISHER: Grand View Research | PRODUCT CODE: 1575095
The global autonomous driving software market size was estimated at USD 1.74 billion in 2023 and is expected to expand at a CAGR of 13.6% from 2024 to 2030. The market is experiencing rapid growth, driven by advancements in Artificial Intelligence (AI), machine learning, and sensor technologies. As automotive companies, tech giants, and startups invest heavily in developing self-driving vehicles, the demand for advanced software capable of handling complex driving environments is surging. This software integrates various technologies, including computer vision, deep learning, sensor fusion, and mapping, to enable vehicles to navigate and make decisions without human intervention.
The increasing demand for safer and more efficient transportation solutions is a key factor driving market growth. As stricter global safety regulations come into play, automotive manufacturers are required to integrate advanced safety technologies into their vehicles. Autopilot driving software has emerged as a direct response to these changes, helping manufacturers meet safety standards by using complex algorithms and real-time data processing to enhance vehicle safety. In addition, the rising adoption of electric vehicles (EVs) aligns well with the development of autonomous driving technologies, as these systems can be seamlessly integrated into the electronic architectures of EVs.
The advancement of Advanced Driver Assistance Systems (ADAS) technology has driven increased demand for software-based solutions in the automotive industry. ADAS encompasses various safety and automation features, such as adaptive cruise control and lane-keeping assistance. However, recent advancements have enabled innovative applications that utilize existing sensors and AI capabilities. One notable example is automated parking systems, which extend beyond basic parking assistance by enabling vehicles to navigate parking lots and confined spaces autonomously. These systems employ a variety of sensors, including cameras and ultrasonic sensors, to detect obstacles, estimate parking spaces, and execute precise parking maneuvers. Another significant development is the 'Active Lane Keep Assist' system, which alerts drivers when they drift out of their lanes and actively steers the vehicle back to maintain lane position. As these technologies evolve, the demand for high-performance autonomous driving software is expected to grow.
Global Autonomous Driving Software Maret Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global autonomous driving software market report based on level of autonomy, propulsion, vehicle type, software type, and region: