Boston, Nov. 10, 2026 (GLOBE NEWSWIRE) -- The global data center accelerators market is projected to grow from $119.4 billion in 2025 to $392.9 billion by 2031, representing a compound annual growth rate (CAGR) of 23.4% over the forecast period 2026–2031, according to the new BCC Research report Data Center Accelerators: Global Markets. This extraordinary expansion reflects the accelerating convergence of artificial intelligence, hyperscale cloud infrastructure, and next-generation computing architectures that is reshaping the global technology investment landscape.
Key Findings
• The global data center accelerators market is valued at $119.4 billion in 2025 and is forecast to reach $392.9 billion by 2031 at a CAGR of 23.4% (2026–2031), driven primarily by the explosive adoption of AI and machine learning workloads requiring massive parallel computational resources, including GPUs, ASICs, FPGAs, and custom AI accelerators across cloud, enterprise, and research environments.
• North America is the largest regional market, commanding a 45.7% share, underpinned by the concentration of hyperscale cloud providers, enterprise AI adopters, and leading semiconductor firms investing heavily in accelerator R&D and deployment infrastructure.
• Hyperscale cloud providers - including AWS, Microsoft, Google, Meta, and Alibaba - are driving sustained capital investment in AI-ready data centers and custom silicon development, simultaneously expanding procurement demand and generating entirely new market segments through proprietary accelerator programs.
• The exponential growth of custom ASIC accelerators is reshaping competitive dynamics, as cloud giants develop proprietary AI chips to reduce dependence on external processor vendors, optimize workload-specific performance, and improve energy efficiency at scale - creating structural tailwinds for the broader accelerator ecosystem.
• Emerging technologies including Wafer-Scale Engine computing, Intelligence Processing Units (IPUs), liquid cooling solutions, rack-scale AI infrastructure platforms, and FPGA-based AI and HPC acceleration are rapidly advancing to meet the performance and thermal demands of next-generation AI workloads, including large language models and multimodal generative AI systems.
• The competitive landscape is dominated by NVIDIA Corp., Advanced Micro Devices Inc. (AMD), Intel Corp., and Broadcom Inc., with significant activity from Alphabet Inc. (Google), Amazon.com Inc., Marvell, Qualcomm Technologies Inc., IBM, Cisco Systems Inc., Dell Inc., Lattice Semiconductor, Achronix Semiconductor Corp., Graphcore, and Cerebras.
Market Drivers
The primary structural force propelling this market is the insatiable computational demand generated by increasingly complex AI models. Generative AI, large language models, and multimodal systems require hardware architectures capable of sustained massive parallelism - a requirement that conventional CPU-based infrastructure cannot meet. This dynamic is compelling both cloud providers and enterprise IT organizations to accelerate procurement and deployment of specialized accelerator hardware at an unprecedented pace.
Simultaneously, government-backed exascale computing initiatives and high-performance computing programs are creating durable, non-cyclical demand from research institutions, defense agencies, and national laboratories investing in next-generation supercomputing capabilities. The convergence of AI with edge computing and 5G networks is further extending the addressable market beyond traditional hyperscale facilities, as low-latency inference workloads proliferate across enterprise edge nodes - broadening the deployment base and creating new revenue opportunities across the accelerator value chain.
Investment Considerations
For investors, the data center accelerators market presents a compelling long-duration growth thesis anchored in secular AI adoption trends and hyperscale capital expenditure cycles. NVIDIA Corp. remains the dominant incumbent in GPU-based acceleration, while AMD continues to close the competitive gap in both AI training and inference. Custom silicon programs at Alphabet and Amazon represent both a risk to incumbent hardware vendors and a signal of the market's long-term scale. Key risks to monitor include power availability constraints limiting data center expansion, the impact of export control regulations on addressable market access - particularly in Asia-Pacific - and the capital intensity barriers that may slow enterprise adoption relative to hyperscale deployment. Companies with diversified accelerator portfolios spanning GPUs, FPGAs, and ASICs, combined with robust software ecosystems, are best positioned to capture disproportionate market share through the forecast period.
About the Report
Data Center Accelerators: Global Markets provides comprehensive market sizing, segmentation by accelerator type and end-use application, regional analysis, competitive intelligence, and forecasts through 2031.
About BCC Research
BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Our experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process.
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