Embedded non-volatile memory (NVM) is a type of computer memory that can retain data even when power is turned off. NVM is typically used to store program code or data that does not need to be constantly updated, such as a computer’s BIOS or application code.
One advantage of NVM over other types of memory, such as DRAM, is that it does not need to be constantly refreshed. This means that NVM can be used in applications where power is not always available, such as in battery-powered devices.
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NVM can also be used to store data that needs to be retained even if the power is turned off, such as in a computer’s CMOS memory. CMOS memory is used to store BIOS settings and other system configuration information.
NVM is typically implemented using Flash memory, EEPROM, or other types of non-volatile memory.
Key Trends
The key trends in Embedded Non-Volatile Memory technology are:
-Increased density: Embedded Non-Volatile Memory technology is becoming increasingly dense, with more bits per cell. This increase in density enables more data to be stored in a smaller area, which is ideal for embedded applications where space is often limited.
-Improved reliability: Embedded Non-Volatile Memory technology is becoming more reliable, with higher data retention and lower power consumption. This is important for applications where data must be stored for long periods of time without loss, such as in medical devices or industrial control systems.
-Lower cost: As production volume increases, the cost of Embedded Non-Volatile Memory technology is decreasing. This decrease in cost makes it more affordable for a wider range of applications.
Key Drivers
The key drivers of the Embedded Non-Volatile Memory market are the increasing demand for embedded non-volatile memory in various applications, the growing demand for low-power and high-density embedded non-volatile memory, and the increasing adoption of embedded non-volatile memory in automotive applications.
The embedded non-volatile memory market is expected to grow at a CAGR of 8.3% from 2018 to 2023.
The increasing demand for embedded non-volatile memory in various applications is a key driver of the market. Embedded non-volatile memory is used in a wide range of applications, such as automotive, consumer electronics, industrial, and healthcare. The automotive and consumer electronics applications are expected to grow at a high rate during the forecast period.
The growing demand for low-power and high-density embedded non-volatile memory is another driver of the market. The demand for low-power embedded non-volatile memory is increasing due to the need for energy-efficient products. The demand for high-density embedded non-volatile memory is increasing due to the need for smaller and lighter products.
The increasing adoption of embedded non-volatile memory in automotive applications is another driver of the market. Automotive applications require high reliability and endurance. Embedded non-volatile memory is used in automotive applications, such as infotainment systems, navigation systems, and body control modules.
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Restraints & Challenges
The key restraints and challenges in the Embedded Non-Volatile Memory market include the high cost of these memories, the lack of standardization, and the need for a high level of expertise to design and develop these memories. Additionally, these memories are not widely available, and their use is limited to a few applications.
Market Segments
The embedded non-volatile memory market is segmented based into technology, system, application, and region. On the basis of system, it is bifurcated into image processing & modelling and 3D body scanners. On the basis of technology, it is bifurcated into millimeter wave scanner and backscatter X-ray. Based on application, it is bifurcated into transport protection and critical infrastructure protection. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World.
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Key Players
The Embedded Non-Volatile Memory Market report includes players such as Smiths Group plc (UK), L3 Technologies, Inc., (US), Rapiscan Systems Ltd (US), Adani Systems Inc. (India), Iscon Imaging Inc (US), Nuctech Co. Ltd., (China), OT-Morpho (France), Brijot Imaging Systems Inc (US), Braun and Company Limited (US), and GlobalFoundries (US).
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