(MENAFN- GlobeNewsWire - Nasdaq) Opportunities span edge AI, IoT, data centers and autonomous vehicles, driven by in-memory and neuromorphic computing, dense nonvolatile memory and energy-efficient chip design.Dublin, Sept. 16, 2026 (GLOBE NEWSWIRE) -- "Memristive Devices for Computing Global Market Report 2026" has been added to ResearchAndMarkets.com's offering.
Memristive Devices for Computing Market to Reach $274.93 Billion by 2030 as Edge AI and IoT Adoption Accelerate
The global memristive devices for computing market is experiencing exponential growth as demand rises for high-performance, energy-efficient semiconductor technologies. The market is projected to increase from $33.62 billion in 2025 to $51.12 billion in 2026, representing a compound annual growth rate (CAGR) of 52%. Historical growth has been supported by expanding artificial intelligence and machine learning workloads, the increasing limitations of traditional transistor scaling, rising requirements for high-speed data processing, greater semiconductor research and development investment, and demand for low-power computing solutions.
Strong momentum is expected to continue through 2030, when the memristive devices for computing market is forecast to reach $274.93 billion at a CAGR of 52.3%. Key growth drivers include the deployment of edge AI devices, rising demand for energy-efficient data centers, wider adoption of autonomous computing platforms, expansion of neuromorphic computing research, and increased integration of advanced memory technologies into consumer electronics.
Prominent memristive computing market trends include the development of in-memory computing architectures, increasing adoption of neuromorphic computing systems, integration of crossbar array modules into AI hardware, expansion of high-density non-volatile memory solutions, and a stronger industry focus on energy-efficient semiconductor design. These technologies are becoming increasingly important as organizations seek to process larger volumes of data while lowering latency and power consumption.
Growing Internet of Things connectivity is expected to be a major catalyst for market expansion. The rollout of 5G networks and edge computing infrastructure is enabling high-speed, low-latency communication across smart cities, industrial automation systems, connected vehicles, and consumer applications. This expansion is increasing demand for memristive devices that can provide energy-efficient data processing, high-density memory, and neuromorphic computing capabilities at the edge.
According to Ericsson, global IoT connections reached 18.8 billion in 2024 and are projected to rise to 43 billion by 2030. The increasing volume of information generated by connected devices creates significant opportunities for memristive computing technologies, particularly in applications requiring real-time analysis, compact hardware, persistent memory, and reduced dependence on cloud-based processing.
Innovation in automotive-grade memory is also shaping the competitive landscape. Semiconductor technology developers are pursuing demanding qualification standards to improve the reliability, endurance, and performance of memristive devices under harsh operating conditions. These advances support deployment in advanced driver assistance systems, edge AI processors, automotive microcontrollers, in-vehicle computing platforms, and next-generation vehicle electronics.
In March 2025, Israel-based semiconductor memory technology company Weebit Nano Ltd. announced the full qualification of its embedded Resistive Random-Access Memory module under the AEC-Q100 standard for automotive applications. The milestone confirmed that the company's silicon oxide-based ReRAM technology met rigorous automotive reliability requirements. The qualification is expected to support its integration into automotive microcontrollers and system-on-chip devices used for AI-powered edge computing, neuromorphic architectures, and advanced electronic systems.
Strategic acquisitions are further strengthening the memristive devices for computing market. In February 2023, GlobalFoundries Inc., a US-based semiconductor foundry and fabrication services provider, acquired conductive bridging random-access memory technology from Renesas Electronics Corporation for an undisclosed amount. The acquisition expanded GlobalFoundries' embedded non-volatile memory portfolio by adding low-power resistive memory capabilities designed to improve performance, lower energy consumption, and provide greater system-on-chip integration flexibility.
Regional growth reflects continued investment in semiconductor manufacturing, artificial intelligence infrastructure, edge computing, and advanced memory research. North America was the largest region in the memristive devices for computing market in 2025, supported by its established semiconductor ecosystem and strong demand for AI technologies. Asia-Pacific is expected to be the fastest-growing region during the forecast period. The market analysis covers Asia-Pacific, Southeast Asia, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, including Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, the United Kingdom, the United States, Canada, Italy, and Spain.
Markets Covered:
1) By Component: Hardware; Software; Services
2) By Device Type: Resistive Random-Access Memory; Spin-Transfer Torque Magnetic Random-Access Memory; Spin-Orbit Torque Magnetic Random-Access Memory; Phase-Change Memory; Ferroelectric Random-Access Memory; Conductive Bridging Random-Access Memory
3) By Material Type: Metal Oxide Based Materials; Two Dimensional Materials; Chalcogenide Materials; Organic Materials
4) By Application: Spiking Neural Networks; Non-Volatile Memory Systems; Programmable Logic and Signal Processing Systems; Artificial Neural Networks; Machine Learning; Neuromorphic Computing Systems
5) By End-User: Consumer Electronics; Information Technology and Telecommunications; Data Centers and Cloud Computing; Automotive and Autonomous Vehicles; Healthcare and Medical Devices; Aerospace and Defense; Industrial Automation and Robotics; Research and Academia
Subsegments:
1) By Hardware: Memristor Chips; Crossbar Array Modules; Compute In Memory Processors; Analog Memory Devices; Hybrid Memory Logic Circuits; Neuromorphic Computing Boards
2) By Software: Device Modeling and Simulation Software; Programming and Development Platforms; Data Mapping and Optimization Software; Memory Management Software; Artificial Intelligence Training Software; System Control and Integration Software
3) By Services: Consulting and Design Services; Fabrication and Prototyping Services; System Integration Services; Testing and Validation Services; Maintenance and Support Services; Research and Development Services
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Key Attributes:
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