Autonomous Driving Software Market Is Expected To Reach $4.21 Billion By 2030


 San Francisco, 14 Nov 2024: The Report Autonomous Driving Software Market Size, Share & Trends Analysis Report By Level of Autonomy (L1, L2), By Propulsion (ICE, Electric Vehicles), By Vehicle Type, By Software Type, By Region, And Segment Forecasts, 2024 - 2030

The global autonomous driving software market size to reach USD 4.21 billion by 2030 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.

Access Research Report of Autonomous Driving Software Market @ https://www.grandviewresearch.com/industry-analysis/autonomous-driving-software-market-report

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. 

Recent Developments

  • In August 2024, Uber Technologies, Inc.partnered with Wayve, a provider of embodied AI for self-driving, to utilize Wayve’s AI to enable a range of automated driving capabilities.With Uber's extra funding and backing, Wayve plans to fast-track its collaborations with global OEMs to upgrade consumer vehicles by incorporating Level 2 advanced driver assistance systems and Level 3 automation capabilities. Moreover, Wayve aims to advance the development of globally scalable Level 4 autonomous vehicles for future use on the Uber platform.
  • In May 2024, PlusAI, Inc.,a generative AI-based autonomous driving software provider, launched PlusProtect, an AI-based technology to enhance safety systems. This scalable technology enables global Tier 1 automotive suppliers and vehicle manufacturers to significantly improve the safety features in their forthcoming safety systems.
  • In April 2024, Horizon Robotics, a provider of ADAS and autonomous driving (AD) solutions, launched the Horizon SuperDrive full-stack AD solution. Utilizing Horizon Robotics' distinctive software and hardware co-optimization features, the Horizon SuperDrive is engineered for safe and dependable autonomous driving in every situation, including urban, highway, and parking environments.

Key Autonomous Driving Software Company Insights

Key autonomous driving software companies include Aptiv, Aurora Innovation Inc., and Baidu, Inc. Companies active in the market focus aggressively on expanding their customer base and gaining a competitive edge over their rivals. Hence, they pursue various strategic initiatives, including partnerships, mergers & acquisitions, collaborations, and new product/ technology development. For instance, in January 2024, Lotus Technology Inc., a global luxury electric vehicle maker, introduced Lotus Robotics, its intelligent driving arm. At the 2024 Consumer Electronics Show (CES) in Las Vegas, U.S., it will present a wide array of proprietary, advanced software and hardware solutions for autonomous driving.

Key Autonomous Driving Software Companies:

The following are the leading companies in the autonomous driving software market. These companies collectively hold the largest market share and dictate industry trends.

  • Aptiv
  • Aurora Innovation Inc.
  • Baidu, Inc.
  • Continental AG
  • Huawei Technologies Co., Ltd.
  • Mobileye
  • Nvidia Corporation
  • Pony.ai
  • Qualcomm Technologies, Inc.
  • Robert Bosch GmbH

About Grand View Research

Grand View Research is an India & U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services.

For More Information: https://www.grandviewresearch.com/horizon

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