May 2025
The global data center accelerator market size was calculated at USD 17.73 billion in 2024 and is predicted to increase from USD 22.12 billion in 2025 to approximately USD 161.85 billion by 2034, expanding at a CAGR of 24.75% from 2025 to 2034. The increased demand for cloud-based services is fueling the adoption of data center accelerators, driving the global market. The market is further experiencing rapid growth due to the increased need for fast and efficient data processing.
The global data center accelerator market reflects the increased demand for artificial intelligence (AI), machine learning (ML), high-performance computing (HPC), and edge computing. Modern and specialized accelerators like graphic processing units (GPUs), field programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs) are leading the market, driven by the increased need for specialized accelerators to handle large amounts of data and complex workloads. Applications like AI, ML, deep learning, high-performance computing, and data analytics highly utilize these accelerators for more scalability, flexibility, and are highly powerful for handling real-time analytics.
The expanding hyperscale data centers and adoption of cloud services are driving the adoption of specialized accelerators. The hyperscale data centers and cloud service providers are investing heavily in infrastructure developments and accelerators to meet with growing need for computational AI-driven applications.
The U.S. data center accelerator market size was exhibited at USD 4.96 billion in 2024 and is projected to be worth around USD 46.21 billion by 2034, growing at a CAGR of 25.00% from 2025 to 2034.
North America Data Center Accelerator Market
North America dominates the global data center accelerator market, driven by the regional strong hyperscale data center infrastructure and growing emphasis on energy efficiency. North America has experienced significant growth in 5G and edge computing adoption, driving the need for specialized accelerators for processing data closer to the sources for real-time and quick analytics. The region’s strong focus on technological advancements and presence of key market players like Intel Corporation, Advanced Micro Devices, Inc., and NVIDIA Corporation are fueling market reach.
The U.S. Data Center Growth and Infrastructure Investments: To Boost Access to Accelerators
The U.S. is a major player in the regional market, contributing to growth due to countries' rapidly expanding hyperscale data centers and the existence of key market players. The rapid growth of developments of AI data centers and demand for specialized chips like Intel Gaudi contribute to this growth. The strict regulatory environment for expanding the AI industry, especially state regulations aligned with the National Environmental Policy Act, the Endangered Species Act, and the Clean Water Act, is supporting infrastructure growth. Moreover, the reviews for investigations and consent decrees by the Federal Trade Commission from the previous administration ensured investments and support in AI data centers.
Asia Pacific Data Center Accelerator Market
Asia Pacific is the fastest-growing region in the global market, growth driven by the region’s rapid digitalization, increasing adoption of cloud computing, emphasis on integration of AI and IoT technologies, and government support. Asia has witnessed rapid market expansion with the adoption of AI, cloud services, and capital investments in data center infrastructure. Governments and leading technology companies are accelerating AI, aligning policies and innovations to meet growing cloud computing and large-scale models demands, leading to heavy investments in data center infrastructure. Countries like Malaysia, Thailand, and Japan are expanding their data center capabilities to boost the regional market.
China’s Market Trends
China is leading the regional data center accelerator market due to the rapid expansion of cloud computing services in the country. The robust emphasis on technological advancements, digitalization, and capital investments by the government and key players is fueling this growth. The development and adoption of FPGA (field programmable gate arrays) is high in China.
India: An Emerging Market Player
India is an emerging player in the regional market, contributing to growth due to increasing investments in cloud computing and AI, driving the need for data center accelerators in the country. Rapid digital transformation, investments in cutting-edge technologies, a large consumer base of advanced technologies, and the presence of leading technology giants are contributing to this growth. Additionally, the growing internet and 5G penetration, and government initiatives like IndiaAI mission are leveraging market expansion.
Report Coverage | Details |
Market Size by 2034 | USD 161.85 Billion |
Market Size in 2025 | USD 22.12 Billion |
Market Size in 2024 | USD 17.73 Billion |
Market Growth Rate from 2025 to 2034 | CAGR of 24.75% |
Dominating Region | North America |
Fastest Growing Region | Asia Pacific |
Base Year | 2024 |
Forecast Period | 2025 to 2034 |
Segments Covered | Type, Application, Data Center Type, Deployment Mode, and Region |
Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
The Increased Demand for Enhanced Energy Efficiency
The increased demand for improved energy efficiency is a significant driver of the global market. Government worldwide and key companies are investing heavily in the adoption of specialized data centre accelerators like GPUs, FPGAs, and ASICS for handling specialized intensive computational tasks with more efficiency. This accelerator helps to manage tasks by reducing energy consumption and offering great alternatives to traditional CPUs. For enabling faster processing of large data sets and quick insights and decision-making capabilities while reducing energy consumption, these specialised accelerators have a significant impact. Additionally, the growing concerns over sustainable data centers are further making these accelerators essential in data centers.
High Cost of Accelerators
The high initial investments required for accelerators are a major restraint for the global market. The data center accelerators need premium initial investments, which leads to hindering their adoption in budget-conscious businesses. The developing and underdeveloped countries with infrastructure limitations for data centers are facing barriers to the adoption of experience accelerators. Manufacturers focus on maintaining premium prices with increased demand from AI and HPC applications, which further hampers their accessibility in the global market.
Shift Toward Adoption of Edge Computing
The rapid shift toward the adoption of edge computing is boosting the need for comprehensive and specialized hardware at distributed locations for enabling high-performance data processing for applications and low-latency. Applications like AI, IoT, and automated systems have been highly used in edge computing, driving the need for specialized hardware for quick, accurate, and high-performance data processing. Edge computing is gaining traction for its utilization in real-time data analysis, efficient handling of a broad amount of data streams, and improving data security, which further fuels demand for accelerators to optimize performance. Additionally, the growing trend of edge-as-a-service (EaaS) for accessing processing power, networking, and storage resources at the edge further adds investments in specialized accelerators and infrastructure.
Which Type Leads the Data Center Accelerator Market?
The graphics processing units (GPUs) segment led the market in 2024, due to its increased use in handling massive data sets and complex neural networks. The growing AI-driven innovations are driving the need for graphics processing units (GPUs) accelerators. These accelerators are ideal for AI, machine learning, and high-performance computing (HPC) workloads. The unparalleled processing power of graphics processing units (GPUs) makes them highly preferred in advanced data center infrastructures.
The field programmable gate arrays (FPGAs) segment is the second-largest segment, leading the market, due to its superior power efficiency and flexibility for real-time applications. The low latency and power efficiency of field programmable gate arrays (FPGAs) make them ideal for workloads like AI, machine learning, and big data analytics. The field programmable gate arrays (FPGAs) are highly used for reprograming specific tasks, outperforming CPUs in speed and power, and enabling customization. Demand for field programmable gate arrays (FPGAs) is high in cloud services and large-scale data processing applications.
Which Application Dominates the Data Center Accelerator Market?
In 2024, the artificial intelligence (AI) & machine learning (ML) segment dominated the market, due to increased demand for artificial intelligence (AI) & machine learning (ML). This adoption has boosted the need for powerful accelerators for an efficient process of complex computations. The growing adoption of deep learning training solutions is further adding to the adoption of these technologies. Specialized accelerators like GPUs are significant for artificial intelligence (AI) & machine learning (ML), enabling processing capabilities for handling a broad amount of datasets and performing complex computation. The growing capital investments in artificial intelligence (AI) & machine learning (ML) technologies are fostering the segment’s growth.
The high-performance computing (HPC) segment is expected to grow fastest over the forecast period, driven by increased adoption of cloud computing, big data analytics, and IoT technologies. This cutting-edge technology drives the need for efficient and advanced data center infrastructure and accelerators for high computational power and scalability. The growing need for high-performance accelerators like GPUs and FPGAs for managing massive and complex amounts of data and simulations is contributing to this growth. The ability of accelerators to enhance performance and energy efficiency helps the high-performance computing (HPC) segment to scale up with affordability.
What Made Hyperscale Data Centers Dominate the Data Center Accelerator Market in 2024?
In 2024, the hyperscale data centers segment dominated the data center accelerator market, due to expanding hyperscale data center infrastructure for training and deploying complex AI models. This expansion has boosted demand for specialized hardware like GPUs and TPUs for powerful AI and ML workloads, big data analytics, and cloud services. The ability of this hardware to offer massive computing power, storage, and network capabilities makes it ideal for hyperscale data centers. Hyperscale data sectors are investing heavily in this AI-optimized application driven by the increased need for complex computational task management.
The colocation data centers segment is the fastest-growing segment in the market, driven by increased infrastructure growth of these centers for handling AI/ML workloads. Colocation data centers have increased demand for flexible, affordable, and scalable accelerators for handling AI and ML workloads. The growing need for specialized accelerators for high-performance computing (HPC) and hybrid cloud deployments contributes to this growth. Additionally, the ability of colocation providers to provide high-power & dense infrastructure and specialized connectivity drives the necessity of modern accelerators like GPUs and TPUs.
How Cloud-Based Deployment Dominated the Data Center Accelerator Market in 2024?
The cloud-based segment dominated the data center accelerator market in 2024, due to increased adoption of cloud computing, AI, and big data applications. These application needs a scalable and high-performance infrastructure. Cloud providers utilize accelerators like GPUs, TPUs, ASICs, and FPGAs for processing AI and ML workloads and provide acceleration as a service (AIaaS). The increased adoption of cloud computing has boosted the need for specialized chips and improved cloud data center efficiency and performance, driving the adoption of specialized accelerators.
The on-premises segment is expected to grow fastest over the forecast period, driven by the increased need for high control, security, and customization. Accelerators enhance the security, control, and performance of sensitive workloads, making them ideal for industries with strict regulatory requirements. Industries like finance, healthcare, and government are the major drivers that require for on-premises deployment mode for accelerators. Additionally, organizations with custom AI models and proprietary data drives demand for on-premise solutions for data sovereignty and to reduce latency in high-performance computing applications.
Raw Material Procurement (Silicon Wafers, Gases)
The raw material procurement of a data center accelerator includes semiconductor manufacturing, packaging, system integration, and data center infrastructure. Materials include silicon, critical materials, and other elements.
Key Players: Nvidia, Intel, Advanced Micro Devices, Achronix Semiconductor, and Alphabet.
Testing and Quality Control
The testing and quality control of data center accelerators revolves around quality manufacturing, method of installation, power distribution, cooling system, environmental controls, and networking infrastructure.
Key Players: Qualitest, Cigniti Technologies, Tech Mahindra, and ITC Infotech.
Distribution to OEMs and Integrators
The data center accelerators rely on a multi-layer ecosystem, which involves their distribution to OEMs and system integrators for implementation in customer-specific environments.
Key Players: Ingram Micro, Avnet, Arrow Electronics, and DigiKey.
By Type
By Application
By Data Center Type
By Deployment Mode
By Region
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