Resistive RAM Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

The studied market is expected to regsiter a CAGR of 29.9% over the forecast period (2021 - 2026). Resistive RAM, which is a non-volatile memory, is anticipated to seize a market share by substituting static random access memory and dynamic random access memory. The replacement will be possible due to numerous benefits given by resistive random access memory such as large storage density and 3D packing, allowing layers of memory gadgets to be coordinated and organized in one chip, fast switching for quick exchange of information, and using less energy per switching cycle. ReRAM holds the potential to replace Flash memory used in mobile phones and other consumer electronics such as MP3 players.

• Further, the growing adoption of sensors technology such as wearable and AI-enabled devices in many regions has boosted demand for fast data transfers and high storage density, in turn providing a tremendous chance or possibility for the growth of the resistive random access memory market globally.
• In addition to this, the growing installation of the internet of things devices globally also gives scope for the growth of the resistive random access memory market at a global level.
• The soaring costs of resistive random access memory have become one of the important challenges for the growth of this market. The innovation and implementation of new materials, over the subsequent years, is expected to decrease costs and boost the demand for resistive random access memory in diverse verticals.
• Moreover, the COVID-19 pandemic is likely impeding the overall anticipated growth of the market, mainly attributed to the supply chain disruption, with several companies witnessing scarcity of components like inductors and capacitors for manufacturing.

Key Market Trends

Increasing Demand of Connected Devices Under Consumer Electronics Segment is Fueling the Demand for ReRAM

• Resistive RAMs have faster computing power as compared to ordinary RAMs and are much better for read-intensive applications and ideal for storage-class memory in servers.
• Higher switching speed constitutes a principal advantage of RRAM over other nonvolatile storage technologies such as NAND flash. ReRAM draws much less power than NAND flash. That makes it currently best suited for memory in sensor devices for industrial, automotive, and internet of things (IoT) applications. Neuromorphic computing is another potential application for ReRAM.
• Over the past few years, a significant increase in demand for connected devices, such as wearables, IoT, and AI-based systems was seen. Resistive RAMs are used in these devices to increase storage capacities. Moreover, with the upcoming of smart cities and smart homes, the connected devices are bound to increase, which, in turn, will increase the demand for strong memory capacity servers.
• To serve emerging requirements, several companies are introducing new innovations to securely connect and scale remote operations, bringing real-time and bandwidth-heavy IoT applications to fruition. For instance, in May 2020, Cisco IoT launched its 10 Gigabit Cisco Catalyst IE3300 Rugged Series Switches. These switches extend the benefits of Cisco’s intent-based networking to the IoT edge to help secure, automate and manage deployments at scale, whether connecting video cameras on roadways, improving pedestrian safety in intersections or monitoring quality on the plant floor.

Asia Pacific Expected to Hold a Major Share of the Market

• The Asia Pacific is expected to have a strong position in the global resistive random access memory market in 2019. China, South Korea, and India are some of the major countries that drive growth for the market in the Asia Pacific. The increasing consumer electronics and automotive industry fuel the demand for resistive random access memory in Asia Pacific countries.
• Moreover, many organizations are establishing data centers in this region, which will also grow the demand for the resistive RAM market. Developing nations, such as India, China, and Japan, will drive the growth of the market in this region owing to the growing enterprise server, data centers, AI, and connected infrastructure.
• For instance, in May 2020, GPX India Pvt. Ltd., a data center provider, announced the launch of GPX Open Cloud Exchange at its Mumbai data center campus. GPX is the first data center provider in India to offer an Open Cloud Exchange service that enables direct, private, and secure connection to multiple Cloud Service Providers (CSPs) hosted inside the same GPXdata center campus where the GPX Open Cloud Exchange is hosted.
• Further adding to the scenario, in March 2020, Shanghai's Municipal Economic Information Commission solicited proposals to build new data centers. The amount is limited to 30,000 racks during 2020, amounting to about 70MW of data center capacity.

Competitive Landscape

The resistive RAM market is moderately competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. These major players are focusing on expanding their production capacity and are leveraging on strategic collaborative initiatives to increase their market share and increase their profitability. The competition, rapid technological advancements, and frequent changes in consumer preferences are expected to pose a threat to the market’s growth of the companies during the forecast period.

• March 2020 - Washington State University researchers developed a heterogeneous computer architecture that combines the commonly used GPU-based platform with a resistive random-access memory (ReRAM). The computer architecture aims to speed up and improve accuracy for a particular class of machine learning algorithm called Deep Neural Networks (DNNs) for image segmentation.
• February 2019 - Crossbar Inc., Gyrfalcon Technology Inc., mtes Neural Networks Corporation (mNN) and Robosensing Inc., announced an AI consortium that will deliver a vastly accelerated, power-saving AI platform and standard that enables new AI-rich capability for edge computing, gateways, cloud and data centers. The organization will combine advanced acceleration hardware, resistive memory (ReRAM), optimized neural networks to create ready-made, power-efficient solutions with unsupervised learning, and event recognition capability.

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