The growing memristor industry

Mario Lanza (), Sebastian Pazos, Fernando Aguirre, Abu Sebastian, Manuel Gallo, Syed M. Alam, Sumio Ikegawa, J. Joshua Yang, Elisa Vianello, Meng-Fan Chang, Gabriel Molas, Ishai Naveh, Daniele Ielmini, Ming Liu and Juan B. Roldan
Additional contact information
Mario Lanza: National University of Singapore
Sebastian Pazos: King Abdullah University of Science and Technology (KAUST)
Fernando Aguirre: Intrinsic Semiconductor Technologies
Abu Sebastian: IBM Research – Zurich
Manuel Gallo: IBM Research – Zurich
Syed M. Alam: Everspin Technologies
Sumio Ikegawa: Everspin Technologies
J. Joshua Yang: University of Southern California
Elisa Vianello: Université Grenoble Alpes
Meng-Fan Chang: National Tsing Hua University
Gabriel Molas: Weebit Nano
Ishai Naveh: Weebit Nano
Daniele Ielmini: Politecnico di Milano and IU.NET
Ming Liu: Chinese Academy of Sciences
Juan B. Roldan: Universidad de Granada, Facultad de Ciencias

Nature, 2025, vol. 640, issue 8059, 613-622

Abstract: Abstract The semiconductor industry is experiencing an accelerated transformation to overcome the scaling limits of the transistor and to adapt to new requirements in terms of data storage and computation, especially driven by artificial intelligence applications and the Internet of Things. In this process, new materials, devices, integration strategies and system architectures are being developed and optimized. Among them, memristive devices and circuits—memristors are two-terminal memory devices that can also mimic some basic bioelectronic functions—offer a potential approach to create more compact, energy-efficient or better-performing systems. The memristor industry is growing quickly, raising abundant capital investment, creating new jobs and placing advanced products in the market. Here we analyse the status and prospects of the memristor industry, focusing on memristor-based products that are already commercially available, prototypes with a high technological readiness level that might affect the market in the near future, and discuss obstacles and pathways to their implementation.

Date: 2025
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DOI: 10.1038/s41586-025-08733-5

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