Data Center Accelerator Market

Data Center Accelerator Market Forecast and Outlook 2025 to 2035

The global data center accelerator market is projected to grow from USD 28.5 billion in 2025 to approximately USD 124.6 billion by 2035, recording an absolute increase of USD 96.5 billion over the forecast period. This translates into a total growth of 338.6%, with the market forecast to expand at a compound annual growth rate (CAGR) of 15.9% between 2025 and 2035. The overall market size is expected to grow by nearly 4.4X during the same period, supported by increasing demand for AI and machine learning acceleration, growing adoption of high-performance computing workloads, and rising deployment of specialized processing systems in critical computing environments across global data center infrastructure.

Quick Stats for Data Center Accelerator Market

• Data Center Accelerator Market Value (2025): USD 28.5 billion
• Data Center Accelerator Market Forecast Value (2035): USD 124.6 billion
• Data Center Accelerator Market Forecast CAGR: 15.9%
• Leading Type in Data Center Accelerator Market: GPU (60.0%)
• Key Growth Regions in Data Center Accelerator Market: North America, Europe, and Asia Pacific
• Top Key Players in Data Center Accelerator Market: NVIDIA Corporation, Intel Corporation, AMD, Google, Microsoft, Amazon Web Services, Xilinx, Graphcore, Cerebras Systems, SambaNova Systems

Between 2025 and 2030, the data center accelerator market is projected to expand from USD 28.5 billion to USD 62.4 billion, resulting in a value increase of USD 33.9 billion, which represents 35.1% of the total forecast growth for the decade. This phase of development will be shaped by increasing artificial intelligence workload deployment, rising adoption of machine learning acceleration, and growing utilization in high-performance computing applications. Accelerator manufacturers and technology suppliers are expanding their production capabilities to address the growing preference for specialized processing solutions in critical AI operations and computing acceleration applications.

Data Center Accelerator Market Key Takeaways

Metric	Value
Estimated Value in (2025E)	USD 28.5 billion
Forecast Value in (2035F)	USD 124.6 billion
Forecast CAGR (2025 to 2035)	15.9%

From 2030 to 2035, the market is forecast to grow from USD 62.4 billion to USD 124.6 billion, adding another USD 62.6 billion, which constitutes 64.9% of the overall ten-year expansion. This period is expected to be characterized by the expansion of advanced artificial intelligence acceleration technologies, the integration of next-generation processing architectures and neural network optimization capabilities, and the development of specialized accelerator solutions for diverse AI applications. The growing emphasis on edge AI computing and autonomous systems will drive demand for intelligent acceleration platforms and AI-optimized processing solutions with enhanced performance capabilities.

Between 2020 and 2024, the data center accelerator market experienced explosive growth, driven by the artificial intelligence revolution and growing recognition of specialized processing hardware's importance in accelerating AI and machine learning workloads. The market developed as data center operators recognized the potential for accelerator systems to dramatically enhance computational performance while meeting demanding AI training requirements. Technological advancement in GPU architectures and specialized AI chips began emphasizing the critical importance of maintaining processing efficiency while scaling AI capabilities and improving model training speeds.

Why is the Data Center Accelerator Market Growing?

Market expansion is being supported by the increasing global demand for artificial intelligence processing solutions and the corresponding shift toward specialized acceleration technologies that can provide superior computational performance while meeting stringent efficiency requirements for critical AI and machine learning environments.

Modern data center operators and AI administrators are increasingly focused on incorporating accelerator systems to enhance processing capabilities while satisfying demands for high-performance computing and proven performance in demanding AI settings. Data center accelerator systems' proven ability to deliver exceptional processing speed, computational efficiency, and AI optimization capabilities makes them essential components for advanced data center operations and critical artificial intelligence applications.

The growing emphasis on AI transformation and machine learning initiatives is driving demand for intelligent acceleration systems that can support distinctive computational characteristics and mission-critical applications across training, inference, and high-performance computing categories.

Data center operator preference for solutions that combine processing excellence with proven scalability credentials is creating opportunities for innovative acceleration implementations in both traditional and emerging AI applications. The rising influence of edge computing requirements and autonomous systems development is also contributing to increased adoption of specialized accelerator systems that can provide real-time processing optimization and enhanced AI capabilities.

Segmental Analysis

The market is segmented by type, application, and end user. By type, the market is divided into GPU, FPGA, and ASIC. Based on application, the market is categorized into AI/ML training, high performance computing, data analytics, and others. By end user, the market is divided into hyperscale data centers, colocation centers, and enterprise data centers.

By Type, GPU Segment Accounts for 60.0% Market Share

The GPU segment is projected to account for 60.0% of the data center accelerator market in 2025, reaffirming its position as the leading type category. Data center operators and AI administrators increasingly utilize GPUs for their exceptional parallel processing capabilities, superior AI optimization features, and seamless integration in complex computing environments across diverse AI applications. This accelerator type's proven design directly addresses data center requirements for massive parallel computation and efficient operations in high-performance AI training settings.

This segment forms the foundation of modern AI acceleration applications, as it represents the configuration with the greatest processing versatility and established compatibility across multiple AI frameworks. Data center operator investments in AI optimization and computational efficiency continue to strengthen adoption among facility administrators. With data centers prioritizing AI performance and consistent processing delivery, GPU systems align with both performance objectives and scalability requirements, making them the central component of comprehensive AI acceleration strategies.

By Application, AI/ML Training Segment Dominates Market Demand

AI/ML training applications represent the dominant segment of data center accelerator demand in 2025, accounting for 45.0% market share, underscoring their critical role as essential components for artificial intelligence development operations. AI providers prefer training acceleration systems for their computational intensity advantages, model development capabilities, and ability to support both standard applications and specialized neural networks while offering proven effectiveness in demanding AI environments. Positioned as essential components for AI development, training accelerators offer both computational capability and competitive advantages.

The segment is supported by continuous growth in AI development programs and the growing availability of specialized accelerator variants that enable model differentiation and training effectiveness at the AI level. Additionally, AI administrators are investing in advanced training technologies to support model complexity and computational accessibility. As artificial intelligence continues to gain priority and providers seek reliable solutions, AI/ML training applications will continue to dominate the market landscape while supporting AI excellence and computational efficiency strategies.

What are the Drivers, Restraints, and Key Trends of the Data Center Accelerator Market?

The data center accelerator market is advancing rapidly due to increasing infrastructure preference for AI acceleration solutions and growing demand for accelerator systems that emphasize high performance across artificial intelligence and machine learning applications.

However, the market faces challenges, including high initial investment costs due to advanced silicon requirements, technical complexity from AI integration needs, and competition from traditional CPU-based processing. Innovation in AI-specific architectures and neural network optimization continues to influence market development and expansion patterns.

Expansion of AI Computing Infrastructure Applications

The growing adoption of data center accelerator systems in advanced AI facilities and machine learning infrastructure applications is enabling data center administrators to develop operations that provide distinctive computational capabilities while commanding premium positioning and enhanced performance characteristics.

AI acceleration applications provide superior computational differentiation while allowing more sophisticated infrastructure development across various AI categories and processing segments. Data center providers are increasingly recognizing the competitive advantages of accelerator integration for advanced facility development and AI infrastructure penetration.

Integration of Next-Generation Processing Architectures

Modern accelerator manufacturers are incorporating specialized AI architectures, neural network optimization algorithms, and advanced memory hierarchies to enhance processing performance, improve computational insights, and meet data center demands for intelligent acceleration solutions.

These technologies enhance AI effectiveness while enabling new applications, including real-time inference optimization and smart workload management systems for processing optimization. Advanced architecture integration also allows suppliers to support premium market positioning and data center trust building beyond traditional processing supply relationships.

Analysis of the Data Center Accelerator Market by Key Country

Country	CAGR (2025-2035)
United States	17.8%
Germany	17.2%
Japan	16.8%
South Korea	16.4%
France	16.0%
U.K.	15.6%

The data center accelerator market is experiencing explosive growth globally, with the United States leading at a 17.8% CAGR through 2035, driven by the expanding artificial intelligence sector, growing machine learning infrastructure adoption, and increasing AI processing infrastructure development across technology facilities. Germany follows at 17.2%, supported by advanced semiconductor capabilities, rising AI investments, and increasing demand for specialized processing solutions in established technology sectors.

Japan shows growth at 16.8%, emphasizing advanced AI applications and infrastructure requirements. South Korea records 16.4%, focusing on semiconductor innovation excellence and infrastructure facility modernization. France demonstrates 16.0% growth, prioritizing precision AI technology and advanced processing equipment integration. The U.K. exhibits 15.6% growth, supported by AI infrastructure capabilities and accelerator technology expertise.

The report covers an in-depth analysis of 40+ countries; six top-performing countries are highlighted below.

United States Leads Global Market Growth with AI Sector Expansion

Revenue from data center accelerator systems in the United States is projected to exhibit explosive growth with a CAGR of 17.8% through 2035, driven by the rapidly expanding artificial intelligence sector and increasing machine learning infrastructure adoption across facilities seeking advanced processing solutions.

The country's growing AI infrastructure and strategic technology development are creating substantial demand for accelerator systems in both traditional and advanced AI applications. Major semiconductor providers and technology suppliers are establishing comprehensive development and distribution capabilities to serve both domestic data center requirements and export markets.

• Rising AI sector development and expanding machine learning infrastructure are driving demand for accelerator systems across computing facilities, AI administrators, and technology providers throughout major American technology centers.
• Strong economic growth and increasing AI investment toward advanced and specialized technologies are supporting the rapid adoption of processing systems among data center providers seeking to meet evolving computational requirements and competitive expectations.

Germany Demonstrates Strong Market Potential with Semiconductor Excellence Impact

Revenue from data center accelerator systems in Germany is expanding at a CAGR of 17.2%, supported by advanced semiconductor capabilities, increasing data center facility investments, and growing focus on AI infrastructure development requiring specialized solutions.

The country's established technology sector and expanding processing capabilities are driving demand for accelerator systems across both traditional and modern data center applications. International semiconductor companies and domestic manufacturers are establishing comprehensive distribution and development capabilities to address growing market demand for reliable AI infrastructure.

• Advanced semiconductor capabilities and expanding technology facilities are creating opportunities for accelerator adoption across data center establishments, AI administrators, and processing infrastructure projects in major technology regions throughout Germany.
• Growing government focus on digital AI excellence and infrastructure development is driving adoption of processing solutions among data center providers seeking to meet performance standards and competitive objectives for operational effectiveness.

Japan Maintains Strong Position with Advanced AI Focus

Revenue from data center accelerator systems in Japan is projected to grow at a CAGR of 16.8% through 2035, driven by the country's advanced AI capabilities, infrastructure requirements, and continued focus on processing acceleration solutions for critical applications.

Japan's sophisticated data center infrastructure and willingness to invest in specialized processing systems are creating substantial demand for both standard and specialized accelerator variants. Leading technology companies and infrastructure suppliers are establishing comprehensive sourcing strategies to serve both computing operations and specialized AI markets.

• Rising advanced AI operations and infrastructure applications are driving demand for accelerator systems across data center contractors, technology facilities, and AI providers seeking reliable performance and proven computational effectiveness.
• Strong AI expertise and infrastructure sophistication are supporting the adoption of specialized and high-performance processing systems among data center organizations and technology facilities, prioritizing AI acceleration reliability and computational precision.

South Korea Strengthens Market with Semiconductor Innovation Excellence

Revenue from data center accelerator systems in South Korea is projected to grow at a CAGR of 16.4% through 2035, supported by the country's advanced semiconductor innovation industry, data center facility modernization sector, and established tradition of technological excellence requiring high-quality processing solutions.

South Korean data center providers and technology facilities consistently demand superior accelerator systems that meet exacting performance standards for both domestic operations and international technology markets. The country's position as a semiconductor leader continues to drive innovation in processing applications and performance standards.

• Strong semiconductor innovation and data center facility modernization industries are driving demand for advanced accelerator systems across traditional technology facilities, AI providers, and processing suppliers seeking to maintain South Korea's reputation for technological excellence.
• Growing export of South Korean semiconductor technologies and increasing international AI cooperation are supporting the adoption of high-quality processing systems among data center providers seeking to differentiate their services in global markets.

France Anchors Growth with Precision AI Technology

Revenue from data center accelerator systems in France is projected to grow at a CAGR of 16.0% through 2035, supported by the country's precision AI technology programs, expanding data center capabilities, and focus on advanced processing infrastructure requiring acceleration solutions.

Data center facilities in France prioritize computational effectiveness, technology reliability, and AI capability enhancement, making accelerator systems essential components for both domestic operations and regional technology applications. The country's comprehensive AI development programs and strategic emphasis support continued processing market development.

• Advanced precision AI capabilities and infrastructure development are driving demand for specialized accelerator solutions across data center facilities, AI contractors, and technology providers serving French and regional markets.
• Strong focus on AI capability enhancement and computational effectiveness is encouraging data center organizations to adopt advanced processing systems that support competitive positioning and meet French standards for AI equipment.

U.K. Demonstrates Steady Growth with AI Infrastructure Excellence

Revenue from data center accelerator systems in the U.K. is projected to grow at a CAGR of 15.6% through 2035, supported by the country's advanced AI infrastructure industry, expertise in processing technology, and established technology tradition requiring high-quality acceleration systems.

Data center organizations' focus on computational excellence and proven technologies creates steady demand for reliable accelerator systems and specialized variants. The country's attention to technology quality and operational effectiveness drives consistent adoption across both traditional and specialized AI applications.

• Advanced AI infrastructure industry and processing technology expertise are driving steady demand for high-quality accelerator systems across AI contractors, data center facilities, and technology companies seeking proven performance and superior quality.
• Strong technology tradition and computational excellence focus are supporting the adoption of specialized processing solutions among data center organizations seeking to meet British standards and operational preferences for reliable technologies.

Europe Market Split by Country

The data center accelerator market in Europe is projected to grow from USD 7.1 billion in 2025 to USD 31.3 billion by 2035, registering a CAGR of 15.9% over the forecast period. Germany is expected to maintain its leadership position with a 29.8% market share in 2025, growing to 30.9% by 2035, supported by its advanced precision semiconductor sector and processing technology capabilities serving European and international markets.

The United Kingdom follows with a 19.4% share in 2025, projected to reach 18.8% by 2035, driven by established AI expertise and infrastructure capabilities. France holds a 16.2% share in 2025, expected to reach 17.5% by 2035, supported by growing AI innovation programs and processing technology development. Italy commands a 12.1% share in 2025, projected to reach 11.4% by 2035, while Spain accounts for 9.5% in 2025, expected to reach 10.0% by 2035. Nordic Countries maintain an 8.9% share in 2025, growing to 9.4% by 2035. BENELUX region holds 3.6% in 2025, declining to 1.5% by 2035. Rest of Western Europe is anticipated to hold 0.5% in 2025, maintaining 0.5% by 2035, attributed to mixed growth patterns with steady expansion in some markets balanced by slower growth in smaller countries implementing AI modernization programs.

AI-Centric Processing Solutions Drive Data Center Accelerator Adoption in Japan

In Japan, the data center accelerator market is anchored by AI/ML training applications, which account for 48.5% of deployments in 2025. Demand is driven by rising artificial intelligence initiatives, processing performance pressures, and the need for advanced computational acceleration systems. High performance computing represents 32.8% while data analytics account for 18.7%, supported by digital transformation dynamics and government-backed AI modernization. Japanese operators emphasize AI/ML training and high-performance computing accelerators for computational effectiveness and processing optimization, while data analytics adoption steadily rises through partnerships with technology providers and AI operators.

• AI/ML training dominates adoption (48.5% share in 2025), with high performance computing (32.8%) and data analytics (18.7%) contributing secondary demand.
• Strong alignment with Japan's AI modernization priorities and the shift to advanced processing infrastructure.
• Priority investment in AI training and HPC systems for computational workflows and processing performance compliance.

Collaborative Processing Providers Shape South Korea's Market

In South Korea, semiconductor companies drive 52.4% of accelerator adoption, with cloud providers (28.9%) and technology integrators (13.5%) emerging as key collaborators in 2025. The market reflects a hybrid model where semiconductor institutions directly deploy accelerator systems while cloud providers and technology integrators co-develop tailored systems.

This structure encourages adoption of advanced processing management and optimization systems, particularly in large infrastructure networks and private technology facilities. Local semiconductor firms partner with international players to enhance system integration, while processing providers focus on computational efficiency and operational reliability.

• Semiconductor companies dominate deployment, but co-development partnerships with cloud firms are a growing trend.
• Emphasis on processing management and optimization systems for AI development and post-deployment computational management.
• Integration of systems into comprehensive processing platforms for seamless acceleration delivery, infrastructure automation, and performance assurance.

Competitive Landscape of the Data Center Accelerator Market

The data center accelerator market is characterized by competition among established semiconductor manufacturers, specialized AI processing providers, and integrated technology suppliers. Companies are investing in advanced processing technologies, AI optimization systems, performance enhancement processes, and comprehensive validation protocols to deliver consistent, high-performance, and reliable acceleration solutions. Innovation in neural network architectures, processing efficiency, and specialized AI applications is central to strengthening market position and data center provider confidence.

NVIDIA Corporation leads the market with a strong focus on GPU acceleration and AI computing solutions, offering comprehensive accelerator systems that emphasize performance assurance and computational reliability. Intel Corporation provides advanced processing systems with a focus on infrastructure acceleration and computational workflows.

AMD delivers specialized graphics and compute solutions with a focus on processing optimization and infrastructure efficiency. Google specializes in custom AI accelerators with emphasis on machine learning and AI applications.

Microsoft focuses on cloud acceleration systems and data center facility integration. Amazon Web Services emphasizes cloud computing acceleration with a focus on data center processing management and infrastructure optimization.

Data Center Accelerator Market - Stakeholder Contribution Framework

Data center accelerators have become the computational backbone of the AI revolution, with the market exploding from USD 28.5 billion in 2025 to USD 124.6 billion by 2035 at a remarkable 15.9% CAGR. Dominated by GPUs (60% share) and AI/ML training applications (45% share), this 338.6% growth trajectory requires coordinated action across semiconductor supply chains, infrastructure providers, research institutions, and capital markets to navigate supply constraints, power challenges, and the technical complexity of next-generation AI workloads.

How Governments Could Accelerate AI Infrastructure Development?

• Strategic Semiconductor Investment: Establish national AI chip manufacturing capabilities through public-private partnerships, reducing dependence on concentrated supply chains while building domestic expertise in GPU, FPGA, and ASIC production for critical AI applications.

• Power Infrastructure Modernization: Invest in grid capacity expansion and renewable energy integration to support the massive power demands of AI data centers, which can consume 10-50MW per facility compared to traditional data centers' 1-5MW requirements.

• Research & Development Funding: Finance breakthrough research in next-generation architectures including neuromorphic computing, optical processing, and quantum-classical hybrid systems to maintain competitive advantage in AI acceleration technologies.

• Skills Development Programs: Create specialized training pathways for AI hardware engineers, thermal management specialists, and high-performance computing architects to address the critical talent shortage in accelerator design and deployment.

• Export Control Coordination: Balance national security requirements with industry growth needs by establishing clear, predictable export licensing frameworks for AI accelerators that protect sensitive technologies while enabling legitimate commercial applications.

• Edge Computing Policy: Develop regulatory frameworks for distributed AI processing that address latency, privacy, and security requirements for autonomous vehicles, smart cities, and industrial automation applications requiring local acceleration.

How Industry Bodies Could Support Market Development?

• Performance Benchmarking Standards: Establish standardized AI workload benchmarks (MLPerf expansion) that enable objective comparison of accelerator performance across training, inference, and mixed workloads, helping buyers make informed procurement decisions.

• Interoperability Frameworks: Develop open standards for accelerator integration across different vendors' hardware, software stacks, and cloud platforms, reducing vendor lock-in and enabling hybrid acceleration strategies.

• Sustainability Metrics: Create industry-wide standards for measuring and reporting the carbon footprint and energy efficiency of AI workloads, driving innovation in low-power acceleration and green data center practices.

• Supply Chain Resilience: Coordinate industry response to semiconductor shortages through demand forecasting, alternative sourcing strategies, and collaborative inventory management programs that ensure stable accelerator availability.

• Talent Development Collaboration: Partner with universities and technical schools to develop curriculum for AI hardware specialization, including hands-on training with accelerator programming, thermal management, and system optimization.

• Safety and Reliability Standards: Establish testing protocols for mission-critical AI applications in healthcare, autonomous systems, and financial services that require proven accelerator reliability and fail-safe operation.

How OEMs and Technology Players Could Strengthen the Ecosystem?

• Architecture Innovation: Develop specialized accelerators optimized for emerging AI models including large language models, computer vision, and multimodal AI, with dedicated memory hierarchies and interconnect technologies for maximum throughput.

• Software Stack Integration: Create comprehensive development environments that abstract accelerator complexity, enabling AI researchers and developers to focus on model innovation rather than hardware optimization details.

• Modular Acceleration Platforms: Design scalable accelerator systems that can grow from single-chip inference to multi-node training clusters, supporting both startup experimentation and enterprise-scale AI deployment.

• Thermal and Power Management: Integrate advanced cooling solutions, power delivery systems, and thermal monitoring into accelerator designs to maximize performance density while maintaining reliability in space-constrained data centers.

• Edge-to-Cloud Continuity: Develop acceleration architectures that maintain model compatibility between edge inference devices and cloud training systems, enabling seamless AI application deployment across distributed computing environments.

• Custom Silicon Services: Offer accelerator design services that help enterprises create application-specific chips for unique AI workloads, reducing long-term operational costs while improving performance for specialized use cases.

How Service Providers Could Navigate the Market Evolution?

• AI Infrastructure-as-a-Service: Provide managed accelerator services that handle hardware procurement, maintenance, and optimization, allowing enterprises to access cutting-edge AI capabilities without capital investment or technical expertise.

• Workload Optimization Services: Develop expertise in matching specific AI models to optimal accelerator configurations, including model quantization, batch size optimization, and distributed training strategies that maximize hardware utilization.

• Hybrid Cloud Acceleration: Create seamless acceleration services that span on-premises, public cloud, and edge environments, enabling dynamic workload placement based on performance, cost, and latency requirements.

• Model Training Acceleration: Offer specialized services for large-scale model training including dataset preparation, distributed training orchestration, and hyperparameter optimization that leverage multiple accelerator types efficiently.

• AI Consulting and Integration: Build advisory practices that help enterprises architect AI solutions, select appropriate accelerator platforms, and integrate AI capabilities into existing business processes and technical infrastructure.

• Performance Monitoring and Analytics: Develop comprehensive monitoring services that track accelerator utilization, identify performance bottlenecks, and recommend optimization strategies for maximizing ROI on AI infrastructure investments.

How Investors and Financial Enablers Could Unlock Value?

• AI Infrastructure Venture Capital: Fund startups developing breakthrough acceleration technologies including neuromorphic chips, optical computing, and novel memory architectures that could disrupt current GPU dominance in AI workloads.

• Hyperscale Data Center Financing: Provide project financing for massive AI data center buildouts, with structured deals that account for accelerator refresh cycles, power infrastructure requirements, and evolving AI workload demands.

• Semiconductor Ecosystem Investment: Support the entire accelerator value chain from materials and manufacturing equipment to packaging and testing services, reducing supply chain vulnerabilities and enabling capacity expansion.

• AI Application Growth Capital: Finance companies building AI-native applications that drive accelerator demand, creating a virtuous cycle between AI innovation and hardware adoption across industries like autonomous vehicles and drug discovery.

• ESG-Focused AI Infrastructure: Develop investment frameworks that prioritize energy-efficient acceleration, sustainable manufacturing practices, and responsible AI development, aligning returns with environmental and social outcomes.

• Strategic Accelerator Partnerships: Facilitate joint ventures between chip designers, cloud providers, and enterprise customers that share development costs and ensure market adoption for next-generation acceleration platforms.

Key Players in the Data Center Accelerator Market

• NVIDIA Corporation
• Intel Corporation
• AMD
• Google
• Microsoft
• Amazon Web Services
• Xilinx
• Graphcore
• Cerebras Systems
• SambaNova Systems

Scope of the Report

Items	Values
Quantitative Units (2025)	USD 28.5 Billion
Type	GPU, FPGA, ASIC
Application	AI/ML Training, High Performance Computing, Data Analytics, Others
End User	Hyperscale Data Centers, Colocation Centers, Enterprise Data Centers
Regions Covered	North America, Europe, East Asia, South Asia & Pacific, Latin America, Middle East & Africa
Countries Covered	United States, Germany, Japan, South Korea, France, United Kingdom and 40+ countries
Key Companies Profiled	NVIDIA Corporation, Intel Corporation, AMD, Google, Microsoft, Amazon Web Services, Xilinx, Graphcore, Cerebras Systems, SambaNova Systems
Additional Attributes	Dollar sales by type and application, regional demand trends, competitive landscape, technological advancements in accelerator design, AI integration capabilities, processing infrastructure programs, and data center facility deployment strategies

Data Center Accelerator Market by Segments

• Type :

  • GPU
  • FPGA
  • ASIC

• Application :

  • AI/ML Training
  • High Performance Computing
  • Data Analytics
  • Others

• End User :

  • Hyperscale Data Centers
  • Colocation Centers
  • Enterprise Data Centers

• Region :

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Nordic Countries
    • BENELUX
    • Rest of Western Europe
  • East Asia
    • China
    • Japan
    • South Korea
  • South Asia & Pacific
    • India
    • ASEAN
    • Australia & New Zealand
    • Rest of South Asia & Pacific
  • Latin America
    • Brazil
    • Chile
    • Rest of Latin America
  • Middle East & Africa
    • Kingdom of Saudi Arabia
    • Other GCC Countries
    • Turkiye
    • South Africa
    • Other African Union
    • Rest of Middle East & Africa