AUTONOMOUS VEHICLE CHIPS MARKET companies

Market Concentration and Competitive Landscape

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Rising Investments in Research and Development for Autonomous Vehicle Technology

Automakers, technology companies, new mobility startups as well as governments worldwide have significantly ramped up investments to accelerate the development of autonomous driving systems. They recognize autonomous vehicles, once fully realized, will transform the entire mobility landscape by addressing critical issues of road safety, traffic efficiency, accessible transportation, and more. Therefore competing intensely to build leadership in this expanding sector viewed as a major long term opportunity. Major tech clusters in Silicon Valley, Detroit, Munich, and Tokyo have mobilized immense resources racing to solve the scientific and engineering challenges of autonomous driving such as sensor processing, navigation, and object recognition through deep learning algorithms.

Governments especially in Asia, Europe and North America offer sizable funding and subsidies for universities and companies pursuing autonomous vehicle research. Cities are collaborating to test autonomous fleets and build supporting infrastructure of 5G networks and HD mapping. Eventual commercialization of autonomous systems will usher in a new paradigm of mobility as a service replacing private vehicle ownership. This vision of the future transportation landscape where full autonomy is the norm acts as a powerful motivator for continued increase in dedication of capital towards speeding up development of self-driving vehicles and mastering all technical aspects to make that future possible. With so much at stake competitively and economically, investments in autonomous vehicle R&D look set to keep rising substantially in the coming years.

In March 2024, Mobileye Global Inc., an Israeli autonomous driving company acquired by Intel in 2017, launched its SuperVision Lidar chip designed for autonomous vehicles. This innovative chip integrates Mobileye's EyeQ system-on-chip with advanced computer vision algorithms and a custom Lidar sensor, enhancing the capabilities of self-driving technology.