An autonomous vehicle is integrated with numerous sensors such as camera, radar, LiDAR, and ultrasound sensors, for sensing the obstacles. The data generated by these sensors are large-scale in nature and needs to be constantly stored and analyzed efficiently. Due to connectivity restrictions in addition to the requirement of data on-board, it cannot be sent to the cloud instantly. In this regard, the vehicle needs to analyze the data generated from these sensors, which is done via the use of new and upcoming technologies such as edge computing. This has led to the emergence of on-board vehicle storage memory modules. According to Micron Technology, an autonomous vehicle generated approximately 1GB of data per second, summing up to 3.6TB to 4TB of data in an hour. This humongous amount of data cannot be transferred to the cloud instantly, thereby requiring fast and efficient memory storage modules.

Read Report Summary: https://bisresearch.com/industry-report/memory-market-connected-autonomous-vehicle.html

The data generated from a vehicle may be volatile or non-volatile in nature, based on the type of applications. For instance, data for ADAS such as radar data, camera data, brake status, vehicle speed, engine speed, throttle position, seatbelt status, steering input, tire pressure, and warning signal, among others, need to be non-volatile in nature and is stored in flash and other non-volatile memories to be used for multiple applications. Data generated from applications such as adaptive lighting, infotainment systems, and instrument cluster, among others, are volatile in nature and can get deleted once it is used.

Depending upon different automobile applications, multiple memories are integrated into the vehicles. Volatile data is stored in volatile memories such as synchronous RAM (SRAM) and dynamic RAM (DRAM), whereas non-volatile memory is stored in non-volatile memories such as electrically erasable programmable ROM (EEPROM), magnetic RAM (MRAM) and resistive RAM (ReRAM). Numerous companies such as Intel Corporation, Samsung, SK Hynix, Micron Technology Inc, and Western Digital, among others, actively cater to the demand of these memory requirements.

North America dominated the global memory market for connected and autonomous vehicles and contributed 45% of the total market share in 2018 and is anticipated to uphold its dominance throughout the forecast period. The North America memory market for the connected and autonomous vehicle was valued at $1.01 billion in 2018 and is anticipated to reach $4.85 billion units by 2029, growing at a CAGR of 18.14% between 2019 and 2029. The memory market in North America is majorly driven by factors such as growing demand for advanced safety features, which include adaptive cruise control, traffic jam assist, and autopilot, among others.

Additionally, an increasing number of high-end passenger cars such as BMW, Audi, Mercedes-Benz, General Motors, Ford, Fiat, and Volvo among others, is expected to boost the market growth, as North America is home to numerous leading high-end passenger car manufacturers, which are equipped with level 1 and level 2 of autonomy. Moreover, North America is home to leading self-driving technology providers such as Waymo, Uber, and Zoox; moreover, the region provides immense opportunities to these technology providers to partner with leading enterprises such as Walmart for the development and implementation of the delivery of goods through autonomous vehicles.

Request for the Report Sample: https://bisresearch.com/requestsample?id=817&type=download

The competitive landscape of the global memory market for connected and autonomous vehicles displays an inclination toward the companies implementing strategies such as business expansions, partnerships/agreements/collaborations, product launches, and mergers and acquisitions, among others. Despite being in its nascent stage, the automotive memory market is one of the most competitive industries, with leading players competing against each other.

Some of the initiatives taken by the key players in the memory market include product launches, pricing strategies, acquisitions of small-scale start-ups and emerging players, and partnerships among the major players of the automotive semiconductor industry. Micron Technology, Inc., Samsung, Western Digital, SK Hynix, Fujitsu Semiconductor, and Nanya Technology, among others, are some of the key players in the automotive memory market.