GNSS (GPS, Galileo, GLONASS, Beidou3, QZSS, SBAS) Ultra-low power RF Receiver IP
Emerging Memories Look to Displace NOR, SRAM
3D Xpoint’s growth won’t be without challenges
By Gary Hilson, EETimes (August 30, 2021)
Emerging memories are poised for another growth surge.
That’s according to the annual report released jointly authored by Objective Analysis and Coughlin Associates. It’s projecting emerging memories to be a $44 billion market by 2031 by displacing incumbent technologies including NOR flash, SRAM, and DRAM, either in the form of standalone memory chips and embedded memories within microcontrollers, ASICs, and even compute processors.
Over time, the authors expect emerging memories to create new markets of their own, and that’s there’s a great deal of competitive advantage to be gained for participating in the market—not just for memory makers and foundries, but also designers and users of SoCs who are already incorporating these new non-volatile memories into their designs to achieve much more competitive power consumption and system responsiveness.
![]() |
E-mail This Article | ![]() |
![]() |
Printer-Friendly Page |
Related News
Breaking News
- intoPIX Powers Ikegami's New IPX-100 with JPEG XS for Seamless & Low-Latency IP Production
- Tower Semiconductor and Alcyon Photonics Announce Collaboration to Accelerate Integrated Photonics Innovation
- Qualcomm initiates global anti-trust complaint about Arm
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- SiliconIntervention Announces Availability of Silicon Based Fractal-D Audio Amplifier Evaluation Board
Most Popular
- Qualcomm initiates global anti-trust complaint about Arm
- Siemens acquires Altair to create most complete AI-powered portfolio of industrial software
- Alphawave Semi Reveals Suite of Optoelectronics Silicon Products addressing Hyperscaler Datacenter and AI Interconnect Market
- EnSilica Agrees $18m 7 Year Design and Supply ASIC Contract
- Rapidus Announces Strategic Partnership with Quest Global to Enable Advanced 2nm Solutions for the AI Chip Era