Accelerator Card Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

The Global Accelerator Card Market is projected to expand from USD 6.32 Billion in 2025 to USD 35.66 Billion by 2031, registering a CAGR of 33.43%. These specialized hardware devices are engineered to relieve central processing units of intensive tasks, thereby enhancing overall system efficiency and performance for complex workloads like artificial intelligence, data analytics, and network security. The market is primarily propelled by the surging requirement for immense computational power within data centers, the widespread adoption of machine learning applications, and the necessity for low-latency processing at the network edge.

Despite this upward momentum, the market encounters hurdles related to the high power usage and heat generation of advanced hardware, often demanding expensive upgrades to cooling infrastructure which slows deployment in older facilities. According to SEMI, global leading-edge semiconductor capacity for nodes 5 nanometers and smaller was expected to grow by 13 percent in 2024, a surge largely attributed to generative AI demands for data center training and inference. This expansion underscores the heavy reliance on the advanced logic utilized in modern accelerator systems.

Market Drivers

The exponential rise in AI and machine learning workloads serves as the primary catalyst for the accelerator card market, as modern neural networks demand parallel processing capabilities that far outstrip traditional CPU performance. This necessitates the deployment of high-throughput GPUs and specialized ASICs, particularly for training large language models where computational speed offers a distinct competitive advantage. According to NVIDIA, in its August 2024 report 'NVIDIA Announces Financial Results for Second Quarter Fiscal 2025', Data Center revenue hit a record 26.3 billion dollars, a 154 percent jump from the prior year, illustrating the massive financial scale of this hardware adoption.

Concurrently, the aggressive expansion of hyperscale data centers and cloud infrastructure drives a continuous need for dense computing modules to support AI-as-a-service and high-performance computing. Cloud providers are rapidly scaling their physical capacity, integrating accelerator cards to optimize rack density and energy efficiency. According to Microsoft's 'Fiscal Year 2024 Fourth Quarter Results' from July 2024, capital expenditures reached 19 billion dollars to support cloud and AI offerings, while AMD's 'Third Quarter 2024 Financial Results' in October 2024 projected data center GPU revenue to surpass 5 billion dollars, reflecting the broadening ecosystem of accelerator deployment.

Market Challenges

A significant restraint on market expansion arises from the substantial energy consumption and heat dissipation requirements of accelerator cards. Integrating these devices for intensive workloads results in significant thermal output, necessitating specialized cooling infrastructure that imposes steep costs on operators, particularly in legacy data centers not built for such high-density power usage. Consequently, the need for expensive structural retrofits frequently delays the procurement and installation of new hardware, directly impeding the adoption rate of these performance modules.

This trend of rising power intensity mirrors broader industrial energy patterns that complicate deployment strategies. According to the International Energy Agency, in 2024, global electricity demand from data centers, artificial intelligence, and the cryptocurrency sector was projected to potentially double by 2026 to reach roughly 1,000 terawatt-hours. This expected surge highlights the logistical and financial barriers companies face when scaling operations, as physical constraints regarding power delivery and thermal regulation effectively act as a practical ceiling on the speed at which organizations can deploy additional accelerator cards.

Market Trends

The integration of Compute Express Link (CXL) technology is transforming the market by enabling cache-coherent interconnects between processors and memory devices. This architecture addresses the memory wall bottleneck by permitting accelerators to access shared memory pools independent of the host CPU, thereby optimizing data-heavy workloads like large language model training and facilitating disaggregated computing models. According to Samsung Electronics, in the November 2025 'Samsung Highlights Open Collaboration for the AI Era at OCP Global Summit 2025' press release, the company showcased CXL memory modules that enable a 50 percent increase in memory capacity and up to a 100 percent improvement in bandwidth for next-generation AI servers compared to traditional configurations.

Simultaneously, there is a distinct shift towards Domain-Specific Architectures (DSAs) as hyperscale operators increasingly commission custom silicon to maximize efficiency for specific AI tasks. Unlike general-purpose GPUs, these bespoke accelerators strip away unnecessary logic to focus entirely on the matrix operations required by proprietary neural networks, significantly reducing total ownership costs. According to Broadcom, in the 'Third Quarter Fiscal Year 2025 Financial Results' from September 2025, the company reported a 63 percent year-over-year increase in AI revenue, a surge attributed primarily to the ramping production of custom AI accelerators for hyperscale customers seeking alternatives to standard market offerings.

Key Players Profiled in the Accelerator Card Market

• NVIDIA Corporation
• Advanced Micro Devices, Inc.
• Intel Corporation
• Alphabet Inc.
• IBM Corporation
• Hewlett Packard Enterprise Development LP
• Dell Technologies Inc.
• Fujitsu Limited
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd.

Report Scope

In this report, the Global Accelerator Card Market has been segmented into the following categories:

Accelerator Card Market, by Processor Type:

• Central Processing Units (CPU)
• Graphics Processing Units (GPU)
• Field-Programmable Gate Arrays (FPGA)
• Application-specific Integrated Circuit (ASIAC)

Accelerator Card Market, by Accelerator Type:

• High-performance Computing Accelerator
• Cloud Accelerator

Accelerator Card Market, by Application:

• Video And Image Processing
• Machine Learning
• Data Analytics
• Mobile Phones
• Others

Accelerator Card Market, by Region:

• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Accelerator Card Market.

Available Customization

The analyst offers customization according to your specific needs. The following customization options are available for the report:

• Detailed analysis and profiling of additional market players (up to five).

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