Remote Direct Memory Access (RDMA) Acceleration Software Market Report 2026

The remote direct memory access (rdma) acceleration software market size has grown rapidly in recent years. It will grow from $1.84 billion in 2025 to $2.13 billion in 2026 at a compound annual growth rate (CAGR) of 15.6%. The growth in the historic period can be attributed to growth in high performance computing demand, expansion of cloud data centers, increasing enterprise data traffic volumes, early adoption of low latency networking solutions, rise in big data processing requirements.

The remote direct memory access (rdma) acceleration software market size is expected to see rapid growth in the next few years. It will grow to $3.84 billion in 2030 at a compound annual growth rate (CAGR) of 15.8%. The growth in the forecast period can be attributed to growing artificial intelligence workloads, expansion of hyperscale data centers, increasing need for real time analytics processing, rising deployment of edge computing infrastructure, growth in high speed network hardware investments. Major trends in the forecast period include increasing adoption of ultra low latency network optimization tools, rising deployment of high speed data transfer architectures, expansion of cpu bypass and direct memory communication technologies, growing integration of advanced network monitoring and diagnostics platforms, enhancement of scalable data center acceleration solutions.

The growing demand for low-latency data transfer is expected to accelerate the growth of the RDMA acceleration software market going forward. Low-latency data transfer refers to the capability to move data between servers, storage systems, and compute resources with minimal delay, which is essential for cloud computing, high-performance computing, artificial intelligence, and real-time digital services. Demand for low-latency data transfer is increasing due to the rapid expansion of real-time applications, streaming services, AI workloads, and distributed cloud architectures that require near-instant data movement. RDMA acceleration software facilitates low-latency data transfer by enabling direct memory access between systems, bypassing traditional network stacks to substantially reduce latency, CPU overhead, and data transfer bottlenecks. For instance, in April 2023, according to the Department for Science, Innovation & Technology, a UK-based government department, widespread adoption of standalone 5G, offering higher capacity and significantly lower latency, is expected to underpin the digital economy, accelerate growth across established and emerging sectors such as artificial intelligence, and deliver up to $190.32 billion (£159 billion) in productivity benefits by 2035. Therefore, the growing demand for low-latency data transfer is driving the growth of the RDMA acceleration software market.

Leading companies operating in the RDMA acceleration software market are focusing on developing advanced solutions, such as RDMA-optimized libraries and offload frameworks, to improve data transfer efficiency, reduce latency, and enhance scalability across modern data center environments. RDMA-optimized libraries and offload frameworks are software tools that enable direct, high-speed data transfer between systems using RDMA by bypassing CPU involvement, thereby improving performance, scalability, and efficient utilization of data center resources. For example, in March 2023, NVIDIA Corporation, a US-based provider of accelerated computing platforms, graphics processing units, and data center networking solutions, announced NVIDIA DOCA 2.0. The solution introduced new libraries and subsystem support that enable advanced networking, storage emulation, and security offloads on next-generation data processing units, expanding developer access to RDMA-optimized architectures and enabling higher performance, improved scalability, and more efficient use of data center resources.

In November 2023, DataDirect Networks, a US-based provider of software and solutions leveraging RDMA acceleration, partnered with NextSilicon to deliver an integrated compute-to-network-to-storage solution. Through this partnership, DataDirect Networks aims to enhance its RDMA acceleration capabilities by integrating next-generation accelerator processors and RDMA-enabled system architectures to accelerate data movement and reduce I/O bottlenecks across compute-to-network-to-storage workflows. NextSilicon is an Israel-based provider of advanced accelerator processors.

Major companies operating in the remote direct memory access (rdma) acceleration software market are Microsoft Corporation, Amazon Web Services Inc., Dell Technologies Inc., International Business Machines Corporation, NVIDIA Corporation, Cisco Systems Inc., Lenovo Group Limited, Intel Corporation, Oracle Corporation, Hewlett Packard Enterprise Company, Fujitsu Limited, NetApp Inc., Arista Networks Inc., Marvell Technology Inc., Pure Storage Inc., DataDirect Networks Inc., WekaIO Inc., Chelsio Communications Inc., Cornelis Networks, and OpenFabrics Alliance Inc.

Tariffs have introduced cost pressures and supply chain adjustments in the remote direct memory access (RDMA) acceleration software market by increasing the price of imported network interface cards, data processing units, optical transceivers, and high speed ethernet switches required for low latency networking infrastructure. These impacts are most evident in hardware intensive deployments and in regions dependent on cross border semiconductor and networking equipment imports such as Asia-Pacific and parts of North America. However, tariffs are also encouraging domestic semiconductor manufacturing, regional supplier diversification, and stronger investment in software based optimization and virtualization technologies, which may enhance long term infrastructure resilience and reduce reliance on foreign hardware suppliers.

Remote direct memory access (RDMA) acceleration software is a solution that enables high-speed, low-latency data transfer directly between the memory of networked systems without involving the CPU. It optimizes network communication for data-intensive workloads such as high-performance computing, artificial intelligence, and cloud data centers. It helps to accelerate data movement and enhance efficiency in latency-sensitive and large-scale computing environments.

The main components of remote direct memory access acceleration software include software and services. Software refers to platforms that enable high-speed data transfer between servers and storage systems by bypassing traditional networking stacks, thereby improving performance for latency-sensitive applications. These solutions support network protocols such as InfiniBand and remote direct memory access over converged Ethernet, and are deployed through on-premises and cloud-based models based on organizational infrastructure and operational requirements. The applications involved include data centers, high-performance computing, cloud computing, artificial intelligence, storage area networks, and other applications. The end users of remote direct memory access acceleration software solutions include information technology and telecommunications companies, banking, financial services, and insurance organizations, healthcare providers, manufacturing companies, government organizations, and other end users.

The remote direct memory access (RDMA) acceleration software market consists of revenues earned by entities by providing services such as network performance optimization, low-latency tuning services, data center integration services, cloud networking services, driver and firmware management, network monitoring and diagnostics, technical support and maintenance, and training and consulting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The remote direct memory access (RDMA) acceleration software market also includes sales of RDMA-enabled network interface cards, data processing units, ethernet switches, high-speed network cables, optical transceivers, and rack-mounted servers. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The remote direct memory access (rdma) acceleration software market research report is one of a series of new reports that provides remote direct memory access (rdma) acceleration software market statistics, including remote direct memory access (rdma) acceleration software industry global market size, regional shares, competitors with a remote direct memory access (rdma) acceleration software market share, detailed remote direct memory access (rdma) acceleration software market segments, market trends and opportunities, and any further data you may need to thrive in the remote direct memory access (rdma) acceleration software industry. This remote direct memory access (rdma) acceleration software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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