The static random access memory (SRAM) market size reached around USD 610.58 Million in 2024. The market is projected to grow at a CAGR of 3.50% between 2025 and 2034 to reach nearly USD 861.28 Million by 2034. The swift expansion of data production, propelled by the Internet of Things (IoT), cloud computing, and big data analytics, is intensifying the need for high-performance static random access memory (SRAM) to facilitate quicker data retrieval and processing across a range of applications.
Global Static Random Access Memory (SRAM) Market Growth
In 2023, global sales of electric cars reached 14 million units, with 95% of these sales coming from China, Europe, and the United States. This figure represents an increase of 3.5 million units compared to 2022, marking a 35% rise year-on-year. The total number of electric cars on the roads reached 40 million, with electric vehicles comprising approximately 18% of all car sales in 2023, a notable increase from 14% in 2022.
Static Random Access Memory (SRAM) is essential in electric vehicles, facilitating real-time data processing for critical systems. It is utilised in vehicle control units for functions such as powertrain management, battery monitoring, and navigation. As per the static random access memory (SRAM) market analysis, the low latency and rapid access times of SRAM enable swift decision-making, thereby improving the vehicle's performance, safety, and responsiveness. Furthermore, it plays a significant role in optimising autonomous driving systems, processing sensor data, and enhancing infotainment systems, all of which contribute to a smooth and efficient driving experience in electric vehicles. Moreover, the low latency and rapid access of SRAM facilitate the swift execution of AI algorithms, especially in edge computing scenarios. This synergy bolsters AI-driven functions in robotics, autonomous systems, and smart devices, thereby enhancing overall efficiency and performance.
Key Trends and Developments
The static random access memory (SRAM) market growth can be attributed to escalating demand for data, progress in consumer electronics, and growth of data centers across the world.
November 2024
Stanford researchers are exploring the development of a hybrid memory system that integrates the high density of DRAM (Dynamic Random-Access Memory) with the rapid performance of SRAM (Static Random-Access Memory). This investigation is supported by funding from the CHIPS and Science Act, which received an additional USD 16.3 million from the US Department of Defense to benefit the California-Pacific-Northwest AI Hardware Hub.
April 2024
Israeli startup RAAAM Memory Technologies secured USD 4 million in seed funding aimed at advancing a System-on-Chip (SoC) SRAM alternative. The company's Gain-Cell Random Access Memory (GCRAM) technology presents an innovative on-chip memory solution, utilising merely three transistors to store a single bit of data, in contrast to the 6-8 transistors required by the current highest-density SRAM-based memory technologies.
March 2024
Microchip Technology broadened its Serial SRAM product range to incorporate higher densities of up to 4 Mb, while also enhancing the speed of the Serial Peripheral Interface/Serial Quad I/O™ Interface (SPI/SQI™) to 143 MHz. The newly introduced 2 Mb and 4 Mb devices aim to offer a more cost-effective solution compared to conventional parallel SRAM products and feature optional battery backup switchover circuitry within the SRAM memory to preserve data during power outages.
March 2021
Infineon Technologies LLC, a subsidiary of Infineon Technologies AG unveiled its second-generation non-volatile Static RAMs (nvSRAM). Infineon's nvSRAM technology combines high-performance SRAM with advanced SONOS non-volatile technology. This new product line has been certified for QML-Q and high-reliability industrial standards, making it well-suited for challenging non-volatile code storage and data-logging applications in harsh environments, such as those found in the aerospace and industrial sectors.
Escalating Demand for Data
The swift expansion of data production, propelled by the Internet of Things (IoT), cloud computing, and big data analytics, is intensifying the need for high-performance static random access memory (SRAM) to facilitate quicker data retrieval and processing across a range of applications. This surge in data generation is largely attributed to the proliferation of connected devices and sensors that continuously collect and transmit vast amounts of information. As these devices become more integrated into everyday life, from smart home appliances to industrial machinery, the volume of data being generated is escalating at an exponential rate.
Progress in Consumer Electronics
The widespread availability of advanced consumer electronics, including smartphones, laptops, and gaming consoles, is contributing to the growth of the market, as these devices necessitate faster and more efficient memory solutions to enhance performance and improve user experience. This demand is driven by the need for improved performance, which is essential for handling complex applications, multitasking, and high-resolution graphics. As users expect seamless performance and quick access to data, manufacturers are compelled to integrate advanced memory technologies that can support these requirements.
Growth in the Automotive Sector
The automotive industry is undergoing a significant transformation, characterised by the increasing integration of electronic components into various systems. This trend is particularly evident in the development of autonomous vehicles and electric vehicles, which rely heavily on advanced electronic systems to function effectively. Electric vehicle sales demonstrated robust performance in the first quarter of 2024, exceeding the figures recorded during the corresponding period in 2023 by approximately 25%, thereby surpassing 3 million units, leading to the static random access memory (SRAM) market expansion.
Surge in Artificial Intelligence (AI)
The adoption of artificial intelligence and machine learning technologies necessitates high-speed memory for the processing of extensive data sets. Static random access memory plays a key role in enabling the rapid calculations needed by artificial intelligence algorithms and deep learning systems. As these technologies advance, they require the capacity to manage vast amounts of data at remarkable speeds. Moreover, fast memory is essential for efficiently processing large data sets, which are vital for training and implementing artificial intelligence models.
Global Static Random Access Memory (SRAM) Market Trends
The market is witnessing substantial growth, primarily fuelled by the rising demand for high-performance memory solutions in various sectors, including consumer electronics, automotive systems, and data centers. Innovations in gaming, mobile technology, and artificial intelligence are increasing the need for faster and more efficient SRAM. Moreover, as 5G networks, edge computing, and Internet of Things (IoT) applications evolve, the requirement for low latency and quick data processing in SRAM is on the rise. Furthermore, the transition to autonomous and electric vehicles is significantly enhancing the demand for SRAM in automotive systems, thereby leading to the development of the market.
Global Static Random Access Memory (SRAM) Industry Segmentation
The EMR’s report titled “Global Static Random Access Memory (SRAM) Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Breakup by Function
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