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Autonomous Vehicle Processor Market Trends & Opportunities by 2030

 Autonomous vehicles are the key to changing urban transportation beyond recognition in the next few years. Both traditional OEMs and new vehicle developers are working in this ecosystem to improve and introduce fully autonomous vehicles on the road. These vehicles will have advanced features as compared to traditional vehicles and enhance the driving experience for passengers.

The global autonomous vehicle processor market accounted for $5.07 billion in terms of value in 2019 and is expected to reach $42.20 billion by 2030. The market is anticipated to grow at a CAGR of 22.98% during the forecast period 2020-2030. The North America region is expected to grow at a significant growth rate of 24.09% during the forecast period 2020-2030.

Market Segmentation

•    Application Type – Level 2, Level 3, Level 4, and Level 5

•    Vehicle Type – Passenger Vehicles and Commercial Vehicles


Regional Segmentation

•    North America - U.S. and Canada

•    Europe – Germany, Netherlands, Sweden, and Rest-of-Europe

•    Asia-Pacific and Japan (APJ) - South Korea, Japan, and Rest-of-APJ

•    U.K.

•    China

•   South America

•    Middle East and Africa (MEA)


Growth Drivers

•    Transportation as a service is poised to accelerate the demand for new autonomous vehicle processors

•    Increasing push from the government to develop connected and autonomous infrastructure


Market Challenges

•    High-cost structure of autonomous vehicles and their processors

•    Lack of advanced infrastructure in developing countries

•    Autonomous vehicle protection from hackers is of paramount concern

•    Global pandemic impacted the overall supply chain of automotive industry


Market Opportunities

•    Tech manufacturers entering into autonomous processors business segment

•    Autonomous vehicle platooning technology expected to grow exponentially


Key Companies Profiled

Intel Corporation, NXP Semiconductors N.V., Tesla, Inc., NVIDIA Corporation, Texas Instrument Incorporated, KALRAY Corporation, Renesas Electronic Corporation, Qualcomm Technologies, Inc., Xilinx, Inc., Hailo Technologies Ltd, Ambarella, Inc., AImotive

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