- Summary
- Table Of Content
- Methodology
Accelerator Card Market Size:
Accelerator Card Market size is estimated to reach over USD 214.07 Billion by 2032 from a value of USD 18.96 Billion in 2024 and is projected to grow by USD 25.33 Billion in 2025, growing at a CAGR of 35.4% from 2025 to 2032.
Accelerator Card Market Scope & Overview:
Accelerator cards are specialized hardware components that are designed to offload and accelerate specific tasks. They are typically used in high-performance computing (HPC) systems, where they significantly speed up calculations for scientific simulations, machine learning, data analytics, and high frequency trading. They come in various types, including AI accelerators, graphics accelerators, and cryptographic accelerators. These cards can be customized and optimized for specific workloads and often use parallel processing techniques to perform computations faster than traditional central processing units (CPU). They are typically added to computer systems to enhance performance for specific workloads. They find use across diverse industries, including healthcare, automotive, retail, telecommunications, aerospace, pharmaceuticals, and gaming, primarily for tasks like AI, machine learning, data analytics, and high-performance computing.
Accelerator Card Market Dynamics - (DRO):
Key Drivers:
Rising Demand of Artificial Intelligence and Machine Learning is driving Market Growth.
An artificial intelligence (AI) accelerator—also known as an AI chip, deep learning processor or neural processing unit (NPU), is a hardware accelerator that is built to speed AI neural networks, deep learning and machine learning. As AI technology expands, AI accelerators are critical to processing the large amounts of data needed to run AI applications. Currently, AI accelerator use span smartphones, PCs, robotics, autonomous vehicles, the Internet of Things (IoT), edge computing and more. AI accelerators, with specialized parallel-processing capabilities, allows them to perform billions of calculations at once. They are critical to speeding the processing of data necessary to create AI applications at scale. With speed and scalability at a premium in the fast-moving AI technology industry, AI accelerators have become indispensable in helping companies innovate at scale and bring new AI applications to market sooner. AI accelerators are superior to their older counterparts in three critical ways: speed, efficiency and design.
- For instance, Aetina, a subsidiary of Innodisk Group and an expert in edge AI solutions, and Axelera AI, a leading edge-inference company, have recently partnered to deliver high-performance, power-efficient AI inference solutions for industries such as smart transportation, surveillance, and retail. With the growing need for compact, high-performance AI at the edge, this collaboration introduces a comprehensive portfolio of AI-optimized systems that seamlessly integrate Axelera AI’s powerful AI accelerator cards with Aetina’s advanced hardware platforms.
Thus, the increasing adoption of AI and machine learning across various industries results in the rising trend for faster and more efficient hardware, making them a vital solution boosting Accelerator Card Market demand.
The rising trend of Cryptocurrency Mining fuels the demand for the Accelerator Card Market.
Accelerators, particularly GPUs, are used in cryptocurrency mining to perform computationally intensive tasks such as verifying transactions on decentralized networks and are also used for other applications like AI and big data analysis. Cryptographic accelerators are specialized hardware devices or coprocessors designed to efficiently and securely perform computationally intensive cryptographic operations like encryption, decryption, and hashing, offloading these tasks from the main CPU. They are designed to handle cryptographic tasks more efficiently than general-purpose CPUs, leading to faster processing, lower power consumption, and enhanced security. They provide benefits such as increased performance, reduced power consumption, and enhanced security.
- For instance, in February 2025, MANTRA, a layer 1 blockchain purpose-built for tokenized real-world assets (RWAs) launched RWAccelerator - a start-up accelerator program designed to empower builders and startups with investment capital, mentors, dedicated AI support and more. Supported by Google Cloud, the RWAccelerator program will focus on projects with a strong interest in the tokenization of real-world assets, across real estate, financial products and alternative assets.
Thus, the use of Cryptographic accelerators to solve complex mathematical equations and big data analysis results in the Accelerator Card Market expansion.
Key Restraints:
High development and manufacturing cost hinders their market trend.
Accelerators are expensive due to their specialized, high-performance design, complex manufacturing processes, and high requirements in sectors like cloud computing and AI, which drives up costs. They are designed for specific tasks, such as AI/ML training or processing, requiring highly specialized hardware and software, leading to increased development and manufacturing costs. The manufacturing of these cards involves complex processes, including the use of advanced semiconductor technologies and intricate circuit board designs, which are expensive to implement. The growing need for cloud computing, AI, and high-performance computing applications has led to a surge in their need, creating shortages and driving up prices. The initial investment required for research, development, and manufacturing of specialized accelerators can be substantial, potentially making them unaffordable for some businesses.
Thus, the towering initial cost and high development and manufacturing cost affects the Accelerator Card Market demand.
Future Opportunities:
The need of high-performance computing (HPC) and faster processing speed in AI and machine learning field provides increased Accelerator Card Market opportunities.
High-performance computing (HPC) involves using powerful computing resources to perform complex calculations and simulations that would be impossible or take far too long on standard computers. Accelerators, often GPUs or FPGAs, are crucial for high-performance computing (HPC) by enabling parallel processing and significantly accelerating calculations in applications like scientific simulations and machine learning. Traditional CPUs are designed for sequential tasks, while accelerators are designed for parallel processing, allowing them to handle large datasets and complex calculations much faster. High-performance computing is one of the most essential tools fueling the advancement of scientific computing. From weather forecasting and energy exploration to computational fluid dynamics and life sciences, researchers are fusing traditional simulations with AI, machine learning, big data analytics, and edge computing.
These specialized hardware components in HPC are used to offload and accelerate specific tasks, significantly speeding up computations for applications like scientific simulations, machine learning, and data analytics. They are designed to excel at specific tasks, unlike general-purpose CPUs which are optimized for a wide range of workloads.
- For instance, in February 2025, SynaXG, a leading provider of RAN solutions, announced a strategic collaboration with Kalray, a leader in high-performance computing and acceleration solutions, to launch a new Arm-based Lookaside Acceleration solution for Open RAN deployments. This partnership expands SynaXG’s existing inline acceleration solutions, enabling operators to optimize network performance with greater flexibility, energy efficiency, and cost-effectiveness. This new solution integrates high-performance K300 PCIe lookaside acceleration card with carrier-grade O-RAN software, delivering a powerful combination of energy efficiency, scalability, and real-time optimization.
Thus, the requirement of powerful computing and high processing speed bolster the Accelerator Card Market trend.
Accelerator Card Market Segmental Analysis :
By Processor Type:
Based on processor type, the market is segmented into Central Processing Unit (CPU), Graphics Processing Unit (GPU), Field-programmable Gate Arrays (FPGA), and Application-specific Integrated Circuit (ASIC).
The Graphics Processing Unit (GPU) segment accounted for the largest Accelerator Card Market share in 2024.
- A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly process and render visual content, working alongside the CPU to offload intensive graphical tasks, improving performance and display capabilities.
- Because of their architecture, they are excellent at processing data where a small set of relatively simple computations must be repeated over an extensive collection of data.
- GPUs architecture, optimized for parallel processing, allows them to handle massive amounts of data and perform complex tasks significantly faster than CPUs.
- GPU acceleration is the practice of using a graphics processing unit in addition to a central processing unit to speed up processing-intensive operations.
- It is essential because it allows computers to speed up processes that work similarly to graphical processing. Acceleration boosts the speed of execution for complex computational problems that can be broken down into similar, parallel operations.
- For instance, in February 2025, AMD unveiled the highly-anticipated AMD RDNA 4 graphics architecture with the launch of the AMD Radeon RX 9070 XT and RX 9070 graphics cards as a part of the Radeon RX 9000 Series. The new graphics cards feature 16GB of memory and extensive improvements designed for high-quality gaming graphics, including re-vamped raytracing accelerators and powerful AI accelerators for ultra-fast, cutting-edge performance, and breakthrough gaming experiences.
- Thus, the Graphics Processing Units excel at performing an operation on many pieces of data simultaneously driving the Accelerator Card industry.
The Field-programmable Gate Arrays (FPGA) segment is anticipated to have the fastest CAGR during the forecast period.
- A field programmable gate array (FPGA) is a versatile type of integrated circuit, which is designed to be programmable (and often reprogrammable) to suit different purposes, notably high-performance computing (HPC) and prototyping.
- It is a type of integrated circuit (IC) that can be configured by the user after manufacturing, allowing for the implementation of custom digital logic circuits.
- FPGAs are adapted to suit multiple use cases, including emerging or experimental purposes, without the need to physically modify or alter their hardware.
- FPGAs are highly versatile and can be adapted to various applications. Users can design and implement custom logic circuits, making FPGAs suitable for specialized applications.
- For instance, in January 2025, Pascaline Technology, an innovator in cutting-edge AI and data center solutions, announced the launch of its Veloxity V200 FPGA Accelerator Card. This powerful new addition to the Veloxity family delivers unprecedented memory capacity, storage connectivity, and network bandwidth, designed to meet the requirements of data-intensive applications in AI/ML, networking, FinTech, biotech and general research.
- Thus, the Field-programmable Gate Arrays are becoming an emerging trend in the Accelerator Card Market.
By Accelerator Type:
Based on accelerator type, the market is segmented into Cloud Accelerator and High-performance Computing Accelerator.
The Cloud Accelerator segment accounted for the largest revenue share in the Accelerator Card Market in 2024.
- Cloud accelerators are like any other kind of accelerator whose main function is enhancing the performance of technology. They streamline cloud adoption and improve the speed of operation of applications for users and developers alike.
- They provide pre-defined steps and best practices for migrating applications and data to the cloud.
- They are frameworks, tools, and services designed to speed up and simplify cloud adoption, migration, and management for businesses, ultimately enhancing performance and efficiency.
- They provide a secure and operationally efficient cloud ecosystem, allowing companies to focus on what matters – adding value for their customers.
- For instance, in January 2025, Peloton Consulting Group, a leading digital transformation consultancy, announced the launch of two new service accelerators designed to help Oracle Cloud HCM customers transition to Oracle’s enhanced Redwood user interface. The accelerators address the growing need for efficient migration solutions as Oracle migrates all Cloud HCM customers to the Redwood experience.
- Thus, the cloud accelerators accounts for the largest revenue in the Accelerator Card Market.
The High Performance Computing Accelerator segment is anticipated to have the highest CAGR during the forecast period.
- HPC accelerators are purpose-built hardware, sometimes called co-processors, that are designed to accelerate specific functions or workloads that are not as well handled by general-purpose processors (CPUs).
- High performance computing is based on parallel processing of complex computational operations. An HPC system divides workloads into smaller tasks and assigns them to multiple resources for simultaneous processing.
- These parallel computing capabilities enable HPC clusters to execute large workloads faster and more efficiently than a traditional compute model.
- They are specialized hardware components designed to boost the performance of specific computational tasks, often used in conjunction with CPUs to handle complex calculations and simulations faster.
- For instance, in November 2024, IBM and AMD announced a collaboration to deploy AMD Instinct MI300X accelerators as a service on IBM Cloud. This offering aims to enhance performance and power efficiency for Gen AI models such as high-performance computing (HPC) applications for enterprise clients. This collaboration will also enable support for AMD Instinct MI300X accelerators within IBM's watsonx AI and data platform, as well as Red Hat Enterprise Linux AI inferencing support.
- Thus, the High Performance Computing Accelerator is expected to be the fastest growing segment in the market.
By Application:
Based on application, the market is segmented into Video and image processing, Machine learning, Data Analytics, Financial computing, Mobile phones, and others.
The data analytics segment accounted for the largest revenue share of 34.2% in 2024.
- Data analytics applications demand high-throughput processing of large volumes of structured and unstructured data, favoring the adoption of accelerator cards in enterprise infrastructure.
- These cards enable real-time insights and advanced data modeling in industries such as BFSI, retail, and manufacturing, where large datasets are routinely handled.
- The use of GPUs and FPGAs in analytics accelerators improves query performance and supports complex algorithm execution with reduced latency.
- As per accelerator card market analysis, the rising demand for advanced data warehousing, business intelligence, and decision automation is driving the dominance of the data analytics segment.
The machine learning segment is projected to register the fastest CAGR during the forecast period.
- Machine learning workloads benefit significantly from parallel processing architectures, and accelerator cards optimize model training and inference operations.
- Rapid deployment of AI-based systems across healthcare, automotive, and financial services sectors supports strong accelerator card market growth in this application.
- Industry trends suggest increasing integration of AI accelerators in data centers and edge devices to support intelligent computing at scale.
- For instance, in November 2024, Anthropic announced an expansion of their collaboration with Amazon Web Services (AWS), deepening their work together to develop and deploy advanced AI systems. This collaboration aims for the development and optimization of future generations of Trainium accelerators, advancing the capabilities of specialized machine learning hardware.
- As per accelerator card market trends, enhanced GPU/TPU-based architectures and rising cloud-based AI adoption contribute to the growing demand in the machine learning segment.
Regional Analysis:
The regions covered are North America, Europe, Asia Pacific, the Middle East and Africa, and Latin America.
Asia Pacific region was valued at USD 5.58 Billion in 2024. Moreover, it is projected to grow by USD 7.48 Billion in 2025 and reach over USD 65.18 Billion by 2032. Out of this, China accounted for the maximum revenue share of 45.3%.
In the Asia-Pacific region, accelerators, particularly data center accelerators, are used for tasks like financial computing, machine learning, computational storage, and data search and analytics, with China and India being key markets. In this region, the demand is driven by the rapid growth of cloud computing, the rise of AI and machine learning, and the increasing need for high-performance computing in data centers and other sectors. The expansion of cloud services and data centers in Asia, particularly in China and India, necessitates their use to handle the massive computational workloads. As data centers become more complex and data volumes grow, the need for energy-efficient and high-performance computing solutions, including accelerator cards, becomes critical.
The rollout of 5G networks is driving the need for faster and more efficient data processing, which these accelerators can facilitate. The increasing requirement for high-quality streaming and content delivery requires powerful processing capabilities, where accelerator cards play a role. Small and medium-sized enterprises are increasingly adopting technology, leading to a rise in their demand.
- For instance, in February 2025, Calligo Technologies, one of the companies incubated at SFAL becomes the first company to create posit arithmetic hardware implemented in FPGA platform, and it has continued to pioneer technology by incorporating it into a genera-purpose computing platform using an RISC-V design. Calligo is now set to be the first company in the world to offer posit-enabled silicon and is well placed to bring out the end-product- Accelerator Card for general purpose computing.
Thus, the market analysis highlights the emerging trend of Accelerators in China and other developing countries such as India.
North America is estimated to reach over USD 69.38 Billion by 2032 from a value of USD 6.29 Billion in 2024 and is projected to grow by USD 8.39 Billion in 2025.
The North American accelerator card market is experiencing significant growth, driven by the rapid adoption of technologies like high-performance computing (HPC), AI, and data analytics, with the US and Canada leading the way.
North America currently dominates the global accelerator card market, with the US holding the largest market share and Canada experiencing the fastest growth within the region. The market is fueled by the increasing need for cutting-edge technologies like HPC, AI, augmented reality (AR), cloud computing, and edge computing, as well as the emergence of hyper-scale data centers and data businesses.
In this region, accelerators, particularly GPUs, are widely used for gaming, supporting multiple monitors, and increasingly in data centers for tasks like machine learning, financial computing, and blockchain technology applications like cryptocurrency mining. Accelerators, especially GPUs, are crucial for high-definition gaming and virtual reality (VR), boosting frame rates and improving rendering quality. They provide the necessary video output and processing power to drive multiple displays simultaneously, beneficial for tasks like video editing, programming, and multitasking. The strong parallel processing capabilities of these accelerators, especially GPUs, are essential for tasks like cryptocurrency mining and verifying transactions on decentralized networks.
- For instance, in October 2024, AMD announced the AMD Alveo UL3422 accelerator card, the latest addition to its record-breaking family of accelerators designed for ultra-low latency electronic trading applications. AMD Alveo UL3422 provides trading firms, market makers and financial institutions with a slim form factor accelerator optimized for rack space and cost and designed for a fast path to deployment in a wide range of servers.
The broader trend of digital transformation across various industries, which involves converting information into a format that computers can process efficiently, is also driving the market for accelerators.
Thus, the Accelerator Card Market analysis shows that the North American region is the largest revenue share holder of the market with the advancement in the technological field and integration with Artificial Intelligence.
The European market for accelerator cards is experiencing rapid developments, driven by the increasing use of Artificial Intelligence (AI) and Machine Learning (ML) across various sectors. In this region, accelerators are increasingly used to enhance performance in various industries, particularly for AI/ML workloads, by offloading CPU processing, and are expected to see significant growth due to the increasing adoption of these technologies. For Open RAN (Radio Access Network), they play a crucial role in virtualized radio access networks, by offloading processing from the CPU to enhance performance and reduce energy consumption.
There is also broad use of GPU accelerators in European countries to boost performance in various fields, including scientific research, data science, AI/ML, and HPC, particularly for tasks involving large datasets, complex simulations, and deep learning model training. They can efficiently process and analyze large datasets, which is crucial for many data-driven applications.
Thus, the Accelerator Card market analysis shows the growing utilization of Accelerators in Machine Learning applications drives the Accelerator Card Market.
In the Middle East and Africa, startup accelerators play a crucial role in fostering innovation and entrepreneurship by providing post-revenue ventures with access to mentorship, investors, and capacity-building services, ultimately aiming to accelerate growth and address regional challenges. Accelerators empower local innovators and startups to address the unique challenges of the region through technology and innovation. They create numerous opportunities for entrepreneurs building ventures in the Middle East and Africa.
Thus, the market analysis shows the emerging trend of accelerators in the Middle East and the developing countries of African region.
In Latin America, accelerators, which are specialized hardware used to boost processing speed for specific tasks, are used for various applications, including machine learning, cryptography, and high-performance computing, particularly in industries like fintech and cloud computing. There are accelerator programs in Latin America, such as the Google for Startups Accelerator: Latino Founders, which help startups with technical challenges and business growth, using them for specific tasks. The shift towards digital payments in Latin America, with debit and credit cards becoming more popular, also contributes to the need for secure and efficient payment processing, which can be aided by these accelerators.
Thus, the market analysis highlights the introduction of various accelerator programs in the Latin American region boosting the Accelerator Card Market.
Top Key Players & Market Share Insights:
The Accelerator Card market is highly competitive with major players providing products and services to the national and international markets. Key players are adopting several strategies in research and development (R&D), product innovation, and end-user launches to hold a strong position in the global Accelerator Card market. Key players in the Accelerator Card industry include -
Recent Industry Developments :
- In January 2024, Sivoo, a global network supporting multicultural on-demand entertainment programming and development of AI related modelling, announced that it will incorporate FuriosaAI’s advanced AI accelerator into servers across their private cloud network. This partnership also aims to deploy the company’s accelerator card for large language models and other generative AI tasks.
Accelerator Card Market Report Insights:
| Report Attributes | Report Details |
| Study Timeline | 2019-2032 |
| Market Size in 2032 | USD 214.07 Billion |
| CAGR (2025-2032) | 35.4% |
| By Processor Type |
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| By Accelerator Type |
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| By Application |
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| By Region |
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| Key Players |
|
| North America | U.S. Canada Mexico |
| Europe | U.K. Germany France Spain Italy Russia Benelux Rest of Europe |
| APAC | China South Korea Japan India Australia ASEAN Rest of Asia-Pacific |
| Middle East and Africa | GCC Turkey South Africa Rest of MEA |
| LATAM | Brazil Argentina Chile Rest of LATAM |
| Report Coverage |
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Key Questions Answered in the Report
What are Accelerator Cards? +
Accelerator cards are specialized hardware components designed to accelerate specific tasks. The are primarily used in High-performance computing systems to perform calculations for scientific simulations with high speed. They are externally added to computer systems to enhance performance.
What are the major drivers of market? +
The rising demand of Artificial Intelligence and machine learning for processing large amounts of data required to run AI applications is driving the market. AI accelerators have the ability to perform billions of calculations simultaneously. The rising trend of Crypto mining is also driving the Accelerator market. GPUs are used to perform tasks such as transaction verification on decentralized networks and for big data analysis.
What are the major segments covered in the Accelerator Card Market report, and which segment dominates the market? +
The major segmentation of the Accelerator Card market is done on the basis of processor type, accelerator type, and application. Graphics Processing Unit, a sub segment, accounts for the largest market due to its ability to rapidly process and render visual content, its excellency in processing data, and parallel processing.
Who are the major key players of the Accelerator Card Market? +
NVIDIA (US), Intel (US), IBM (US), Lenovo (China), Oracle (US), Ditto Labs (US), Achronix Semiconductor Corporation (US), Vantis PLC (UK), Xilinx (US), Lattice Semiconductor (US).
