May 8, 2019   SOURCE: BusinessWire

ADAS and Autonomous Driving Industry Chain Report, 2018-2019 - Automotive Processor and Computing Chip - ResearchAndMarkets.com

The "ADAS and Autonomous Driving Industry Chain Report, 2018-2019 - Automotive Processor and Computing Chip" report has been added to ResearchAndMarkets.com's offering.

Autonomous driving needs processors that perform far better. According to Horizon Robotics' summary of OEM demand, a higher level of automated driving means more orders of magnitude, namely, 2 TOPS for L2 autonomy, 24 TOPS for L3, 320 TOPS for L4 and 4,000+TOPS for L5.

Only computing power is not enough. The complexity of automotive applications should be taken into account. That's because an automotive processor also has to consider how much power is consumed, how much computing power is used or whether it is up to the automotive and safety standards or not.

Automotive processors, also referred to as automotive computing chips, typically fall into three types: Application specific standard products (ASSP), like CPU and GPU; application specific integrated circuits (ASIC); field programmable gate arrays (FPGA). Conventional CPU and GPU have begun to find it hard to meet increasing new demands as AI computing is developing by leaps and bounds, and in terms of energy efficiency, underperform semi-custom FPGA and full-custom ASIC, both of which are booming. By and large, FPGA and FPGA have their own merits and demerits, offering options for different areas.

The huge demand from intelligent connected vehicles (ICV) for semiconductors (including processors) is an enticement for the inrush of consumer electronics processor vendors. Take example for Qualcomm, the fastest entrant whose 820E and 855E among other products have won great popularity in automotive sector. Of the top 25 OEMs worldwide, 18 have chosen the giant's processors. Samsung, MediaTek, Huawei and even Apple follow suit to forge into the automotive semiconductor field.

Key Topics Covered:

1. Overview of Automotive Processors (Computing Chip)

2. Cockpit Processors and Trends

3. ADAS/AD Processors and Trends

4. Global Automotive Processor Manufacturers

5. Chinese Automotive Processor Companies

6. Independent Developers of Automotive Processor

Companies Mentioned

  • Allwinner Technology
  • Ambarella
  • ARM
  • AutoChips (NavInfo)
  • Baidu
  • Cambricon
  • DeePhi
  • Fabu
  • Fujitsu
  • Google
  • Horizon Robotics
  • Huawei
  • Infineon
  • Intel/Mobileye
  • Leapmotor/Dahua Technology
  • MediaTek
  • Nvidia
  • NXP
  • Qualcomm
  • Renesas
  • SGKS
  • STMicroelectronics
  • Tesla
  • TI
  • Toshiba
  • Westwell
  • Xilinx

For more information about this report visit https://www.researchandmarkets.com/r/nkmo72

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