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データセンター向けGPUの世界市場：データセンタータイプ・用途・地域別の分析・予測 (2024-2034年)

Data Center GPUs Market - A Global and Regional Analysis: Focus on Data Center Types, Application and Region - Analysis and Forecast, 2024-2034

出版日
発行
BIS Research
ページ情報
英文 121 Pages
納期
1～5営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
データセンター向けGPUの世界市場：データセンタータイプ・用途・地域別の分析・予測 (2024-2034年)
出版日: 2025年03月04日
発行: BIS Research
ページ情報: 英文 121 Pages
納期: 1～5営業日
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概要

世界のデータセンター向けGPUの市場規模は、現実的なシナリオでは、2024年の360億米ドルから、予測期間中は23.33%のCAGRで推移し、2034年には2,932億米ドルに達すると予測されています。

この力強い成長は、AI、ディープラーニング、ビッグデータ解析をサポートするハイパフォーマンスコンピューティングに対する需要の高まりによるもので、GPUは高速組立ラインの専門作業者として機能し、複雑な計算タスクに強化された効率で取り組みます。メモリ容量の向上、処理能力の強化、エネルギー効率の高い設計などの絶え間ない技術の進歩がスマート技術による製造工場の近代化を推進し、市場拡大をさらに後押ししています。また、大手GPUメーカーとクラウドサービスプロバイダーとの戦略的提携や、ハイパースケールデータセンターの急速な開発により、サプライチェーンの弾力性と運用の拡張性が強化されています。さらに、研究開発への投資の拡大もGPUソリューションの革新に拍車をかけています。業界はより厳しいエネルギー・環境規制を遵守しながら進化する需要に対応できるようになり、最終的には拡張可能で持続可能なデジタルエコシステムを支えています。

主要市場統計
予測期間 2024-2034年
2024年評価 360億米ドル
2034年予測 2,932億米ドル
CAGR 23.33%

用途別では、コロケーションがの部門が市場を牽引：

コロケーションは、主にハイパフォーマンスコンピューティングを必要とする企業向けに、拡張性、柔軟性、コスト効率の高いソリューションを提供できることから、主要促進要因として台頭すると予測されています。AI、機械学習、ハイパフォーマンスコンピューティング (HPC) への需要が高まり続ける中、コロケーションデータセンターは、専有施設への多額の設備投資を必要とせず、GPUを多用するワークロードをサポートするための不可欠なインフラを提供します。このモデルにより、企業は共有リソースを活用し、特定のニーズに合わせてGPU構成をカスタマイズできるため、先進的なGPU技術へのアクセスを確保しながら資本支出を抑えることができます。さらに、デジタルトランスフォーメーションのペースが加速し、AI主導のソリューションへの依存度が高まっていることから、データセンター環境に適した運用パラダイムとしてコロケーションサービスの採用がさらに促進されると予想されています。

製品別では、従来型GPUが市場をリード：

従来型GPUは、その確立された存在感と多様なワークロードへの広範な適用性により、近い将来のデータセンターGPU市場を独占すると予測されています。ゲーム、グラフィックスレンダリング、クラウドコンピューティング、ハイパフォーマンスコンピューティング (HPC) における汎用コンピューティングの要として、これらのGPUは並列処理やAI推論に不可欠な存在であり続けています。成熟したエコシステムと広く普及していることから、機械学習、データ分析、メディア処理をサポートするためのインフラの拡張を検討している組織にとって、GPUは非常に魅力的な選択肢となっています。

地域別では、北米が市場をリード ：

北米は、堅牢な技術インフラ、AIと機械学習サービスに対する大きな需要、主要なクラウドプロバイダーと技術企業の存在によって、データセンターGPU市場をリードする見通しです。Google、Amazon、Microsoftなどの業界大手は、拡大するクラウドサービスとAI用途をサポートするため、GPUを搭載したデータセンターに多額の投資を行っています。ハイパフォーマンスコンピューティング (HPC) とGPUアクセラレーションの需要が拡大する中、北米の高度な研究能力と支援的な規制の枠組みは、市場の優位性を強化すると思われます。さらに、AIモデル、ディープラーニング、クラウドベースのサービスの採用が進むことで、データセンターGPUイノベーションの世界のハブとしての北米の地位はさらに強固なものとなる見通しです。

市場セグメンテーション1：用途別

  • ハイパースケール
  • コロケーション
  • エンタープライズ
  • その他

市場セグメンテーション2：製品別

  • 従来型GPU
  • 高速GPU

市場セグメンテーション3：地域別

  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

当レポートでは、世界のデータセンター向けGPUの市場を調査し、主要動向、市場影響因子の分析、法規制環境、市場規模の推移・予測、各種区分・地域/主要国別の詳細分析、競合情勢、主要企業のプロファイルなどをまとめています。

目次

エグゼクティブサマリー

範囲と定義

第1章 市場

  • データセンターの動向：現在および将来の影響評価
    • データセンターの容量：現在と将来
    • AIワークロードと従来のワークロード
    • データセンターの電力消費シナリオ
    • 重点的に取り組むべき国
    • その他の産業動向
  • データセンター冷却市場：概要
    • 世界および地域の市場規模
    • 冷却の導入 (データセンター経過年数別)
    • 改修およびブラウンフィールドプロジェクト
    • グリーンフィールドプロジェクトと新規設備
    • 冷却装置導入の推移の分析
    • データセンターの冷却技術の採用動向
    • AI導入によるデータセンター冷却インフラへの影響
  • 研究開発レビュー
    • 特許出願動向 (国別、企業別)
  • ステークホルダー分析
    • 使用事例
    • エンドユーザーと購入基準
  • 市場力学の概要
    • 市場促進要因
    • 市場抑制要因
    • 市場機会

第2章 用途

  • 用途のセグメンテーション
  • 用途の概要
  • データセンターGPU市場 (用途別)
    • ハイパースケール
    • コロケーション
    • エンタープライズ
    • その他

第3章 製品

  • 製品セグメンテーション
  • 製品の概要
  • データセンターGPU市場 (製品別)
    • 従来型GPU
    • 高速AI GPU

第4章 地域

  • 地域別概要
  • 北米
    • 地域概要
    • 市場成長の原動力
    • 市場課題
    • 用途
    • 製品
    • 北米 (国別)
  • 欧州
    • 地域概要
    • 市場成長の原動力
    • 市場課題
    • 用途
    • 製品
    • 欧州 (国別)
  • アジア太平洋
    • 地域概要
    • 市場成長の原動力
    • 市場課題
    • 用途
    • 製品
    • アジア太平洋 (国別)
  • その他の地域
    • 地域概要
    • 市場成長の原動力
    • 市場課題
    • 用途
    • 製品

第5章 市場：競合ベンチマーキングと企業プロファイル

  • 地理的評価
  • 企業プロファイル
    • 外部GPU/アクセラレータチップサプライヤー
    • 社内データセンターアクセラレータ開発者

第6章 調査手法

図表

List of Figures

  • Figure 1: Data Center GPUs Market (by Scenario), $Billion, 2023, 2027, and 2034
  • Figure 2: Data Center GPUs Market (by Region), $Million, 2023, 2027, and 2034
  • Figure 3: Data Center GPUs Market (by Application), $Million, 2023, 2027, and 2034
  • Figure 4: Data Center GPUs Market (by Product), $Million, 2023, 2027, and 2034
  • Figure 5: Key Events
  • Figure 6: Estimated Increase in Global Data Center Capacity, 2023 and 2030, GW
  • Figure 7: Comparison between Conventional and AI Workloads
  • Figure 8: Key Energy Consuming Industries (by Independent System Operators in U.S.)
  • Figure 9: HPC Cluster Developments in the Data Center Market
  • Figure 10: Share of Total 5G Mobile Connections (by Region) 2023 and 2030
  • Figure 11: Historical Analysis: Estimated Number of Cooling Deployed Data Centers Globally, 2018-2022
  • Figure 12: Future Market Analysis: Cooling Expected Deployment in New Data Centers (by Number of Data Centers), 2023-2027
  • Figure 13: Energy Consumption Breakdown in AI Data Centers
  • Figure 14: Increasing Rack Power Density Across Key Data Center Segments
  • Figure 15: Comparison of Different Rack Densities in Data Centers
  • Figure 16: Patent Analysis (by Country), January 2021-January 2025
  • Figure 17: Patent Analysis (by Company), January 2021-January 2025
  • Figure 18: End User and Buying Criteria in the Data Center GPUs Market
  • Figure 19: Global Dynamics of Data Generation, Replication, and Utilization, 2019-2023
  • Figure 20: U.S. Data Center GPUs Market, $Billion, 2023-2034
  • Figure 21: Canada Data Center GPUs Market, $Billion, 2023-2034
  • Figure 22: Mexico Data Center GPUs Market, $Billion, 2023-2034
  • Figure 23: Germany Data Center GPUs Market, $Billion, 2023-2034
  • Figure 24: France Data Center GPUs Market, $Billion, 2023-2034
  • Figure 25: U.K. Data Center GPUs Market, $Billion, 2023-2034
  • Figure 26: Netherlands Data Center GPUs Market, $Billion, 2023-2034
  • Figure 27: Ireland Data Center GPUs Market, $Billion, 2023-2034
  • Figure 28: Italy Data Center GPUs Market, $Billion, 2023-2034
  • Figure 29: Rest-of-Europe Data Center GPUs Market, $Billion, 2023-2034
  • Figure 30: China Data Center GPUs Market, $Billion, 2023-2034
  • Figure 31: Japan Data Center GPUs Market, $Billion, 2023-2034
  • Figure 32: Australia Data Center GPUs Market, $Billion, 2023-2034
  • Figure 33: India Data Center GPUs Market, $Billion, 2023-2034
  • Figure 34: South Korea Data Center GPUs Market, $Billion, 2023-2034
  • Figure 35: Rest-of-Asia-Pacific Data Center GPUs Market, $Billion, 2023-2034
  • Figure 36: Data Triangulation
  • Figure 37: Top-Down and Bottom-Up Approach
  • Figure 38: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Opportunities across Region
  • Table 3: Competitive Landscape Snapshot
  • Table 4: Trends Overview
  • Table 5: Global Data Center Liquid Cooling Market (by Region), $Billion, 2023-2034
  • Table 6: Adoption of Cooling by Data Center Age along with PUE
  • Table 7: Data Center GPUs Market (by Region), $Billion, 2023-2034
  • Table 8: North America Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 9: North America Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 10: U.S. Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 11: U.S. Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 12: Canada Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 13: Canada Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 14: Mexico Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 15: Mexico Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 16: Europe Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 17: Europe Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 18: Germany Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 19: Germany Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 20: France Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 21: France Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 22: U.K. Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 23: U.K. Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 24: Netherlands Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 25: Netherlands Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 26: Ireland Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 27: Ireland Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 28: Italy Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 29: Italy Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 30: Rest-of-Europe Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 31: Rest-of-Europe Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 32: Asia-Pacific Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 33: Asia-Pacific Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 34: China Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 35: China Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 36: Japan Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 37: Japan Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 38: Australia Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 39: Australia Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 40: India Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 41: India Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 42: South Korea Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 43: South Korea Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 44: Rest-of-Asia-Pacific Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 45: Rest-of-Asia-Pacific Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 46: Rest-of-the-World Data Center GPUs Market (by Application), $Billion, 2023-2034
  • Table 47: Rest-of-the-World Data Center GPUs Market (by Product), $Billion, 2023-2034
  • Table 48: Market Share,2024 (by External GPU/Accelerator Chip Suppliers)
目次
Product Code: MS02574SA

Introduction to the Data Center GPUs Market

The data center GPUs market has been experiencing significant growth, with a realistic scenario valuing the market at $36.0 billion in 2024 and projecting expansion at a CAGR of 23.33% to reach $293.2 billion by 2034. This robust growth is driven by an increasing demand for high-performance computing to support AI, deep learning, and big data analytics, where GPUs act as specialized workers on a high-speed assembly line, tackling complex computational tasks with enhanced efficiency. Continuous technological advancements, such as improved memory capacity, enhanced processing power, and energy-efficient designs, further bolster market expansion, akin to modernizing a manufacturing plant with smart technologies. Strategic partnerships between leading GPU manufacturers and cloud service providers and the rapid development of hyperscale data centers have strengthened supply chain resilience and operational scalability, much like a well-coordinated logistics network ensuring smooth product flow. Additionally, escalating investments in research and development are spurring innovation in GPU solutions, enabling the industry to meet evolving demands while adhering to stricter energy and environmental regulations, ultimately supporting a scalable and sustainable digital ecosystem.

Data Center GPUs Market Segmentation:

KEY MARKET STATISTICS
Forecast Period2024 - 2034
2024 Evaluation$36.0 Billion
2034 Forecast$293.2 Billion
CAGR23.33%

Segmentation 1: Data Center GPUs Market (by Application)

  • Hyperscale
  • Colocation
  • Enterprise
  • Others

Colocation to Lead the Data Center GPUs Market (by Application)

Colocation is anticipated to emerge as the principal driver in the data center GPUs market, primarily due to its capacity to deliver scalable, flexible, and cost-efficient solutions for enterprises with high-performance computing requirements. As demand for artificial intelligence, machine learning, and high-performance computing (HPC) continues escalating, colocation data centers provide the essential infrastructure to support GPU-intensive workloads without requiring substantial capital investments in proprietary facilities. This model enables organizations to leverage shared resources and customize GPU configurations to meet specific needs, thereby reducing capital expenditures while ensuring access to advanced GPU technology. Moreover, the accelerating pace of digital transformation and the increasing reliance on AI-driven solutions are expected to further stimulate the adoption of colocation services as the preferred operational paradigm for data center environments.

Segmentation 2: Data Center GPUs Market (by Product)

  • Conventional GPUs
  • Accelerated GPUs

Conventional GPUs to Lead the Data Center GPUs Market (by Product)

Conventional GPUs are projected to dominate the data center GPUs market in the near term, owing to their well-established presence and extensive applicability across diverse workloads. As the cornerstone of general-purpose computing in gaming, graphics rendering, cloud computing, and high-performance computing (HPC), these GPUs remain indispensable for parallel processing and AI inference. Their mature ecosystem and widespread availability make them a highly attractive option for organizations looking to scale their infrastructure to support machine learning, data analytics, and media processing.

Segmentation 3: Data Center GPUs Market (by Region)

  • North America
  • Europe
  • Asia-Pacific
  • Rest-of-the-World

North America to Lead the Data Center GPUs Market (by Region)

North America is set to lead the data center GPUs market, driven by its robust technological infrastructure, substantial demand for AI and machine learning services, and the presence of major cloud providers and technology companies. The region continues to command a significant share of AI-driven workloads, with industry leaders such as Google, Amazon, and Microsoft making considerable investments in GPU-powered data centers to support their expanding cloud services and AI applications. As the demand for high-performance computing (HPC) and GPU acceleration grows, North America's advanced research capabilities and supportive regulatory framework will reinforce its market dominance. Moreover, the increasing adoption of AI models, deep learning, and cloud-based services further consolidates North America's position as the global hub for data center GPU innovation.

Industrial Trends for the Data Center GPUs Market

HPC Cluster Developments

  • HPC clusters have emerged as a significant trend in data centers by linking multiple high-performance computers to operate in parallel, thereby expediting the processing of extensive datasets and complex computations. This method offers considerable benefits for AI, scientific research, and big data analytics, which are becoming increasingly integral to modern data centers.
  • Moreover, HPC data centers are transforming the computing landscape by facilitating faster data processing and supporting AI-driven workloads, prompting substantial investments in their expansion and efficiency. For instance, in January 2025, Digital Power Optimization (DPO) announced that it had secured land and a reliable power supply to develop a 20MW HPC data center in Wisconsin Rapids, Wisconsin, with an estimated investment of $200 million.

Industrial Driver for the Data Center GPUs Market

Surging Demand for Cryptocurrency Mining

  • The cryptocurrency mining industry is highly dependent on data centers with robust infrastructure and substantial computing power. As demand for cryptocurrency mining increases, data centers have become central to accommodating the high-powered computer hardware necessary for mining operations, thereby driving investments in facilities that offer enhanced space, power, and cooling capacity.
  • Companies such as Primcast, Crypto Currency Machines, and Server Room provide dedicated mining servers equipped with advanced NVIDIA GPUs, including the CMP HX series and GeForce RTX 30 Series, designed specifically for efficient cryptocurrency mining. These servers are tailored for tasks such as 3D rendering, compute operations, and mining, reflecting manufacturers' commitment to meeting the rising demand for specialized hardware in the cryptocurrency industry. GPU server providers continue to optimize these features to enhance processing power for effective mining operations further.

Industrial Restraint for the Data Center GPUs Market

High Bargaining Power of GPU Manufacturers

  • Major players such as NVIDIA, AMD, and Intel hold significant sway in the data center GPU manufacturing industry, creating a highly concentrated market. These companies have established comprehensive systems that smoothly integrate both hardware and software. NVIDIA, in particular, has taken the lead with its all-encompassing full-stack approach, covering GPU, CPU, and DPU technologies. This poses a significant challenge for GPU server manufacturers in data centers, as replicating a similarly cohesive ecosystem becomes a tough task. The challenge for GPU server manufacturers trying to emulate NVIDIA's integrated approach is especially tough without their own software that seamlessly complements their hardware.
  • This becomes a substantial obstacle for data center GPU server manufacturers contemplating a shift between providers. The complex web of high switching costs is deeply rooted in the complexities of moving away from a specific GPU manufacturer's platform, exemplified by NVIDIA. Data center GPU server manufacturers entrenched in a particular ecosystem may face both financial and operational hurdles when exploring alternative solutions. They must strategically confront these substantial switching costs, requiring the development of integrated solutions compelling enough to attract and retain data center GPU server manufacturers cautious about the intricacies involved in transitioning.

Industrial Opportunity for the Data Center GPUs Market

Technological Advancement in High-Performing Computing (HPC)

  • The continuous growth of the HPC market, driven by the increasing demand for high-efficiency computing, cloud adoption, industry expansion, and advancements in AI and ML, presents significant opportunities for GPU server manufacturers such as Dell and Google to expand their market presence and cater to the rising demand for high-performance computing solutions.
  • One detailed real-time example of how GPU servers can benefit HPC and AI is the case of OpenAI's GPT-4, the world's latest and largest language model. It was trained on a vast dataset of over 1 trillion words, requiring significant computational resources. GPU servers, specifically NVIDIA H100 Tensor Core GPUs, played a crucial role by accelerating the training process up to 60 times compared to CPUs alone. This acceleration was achieved through mixed-precision training, optimizing both computation speed and memory usage. As a result, GPT-4 could be trained in a matter of weeks, achieving state-of-the-art performance in natural language processing tasks.

Key Players of the Data Center GPUs Market

  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Intel
  • Graphcore
  • Tenstorrent
  • Groq, Inc.
  • Cerebras
  • Amazon
  • Meta
  • Huawei Technologies Co., Ltd.
  • Alibaba
  • Baidu, Inc.
  • Google

Table of Contents

Executive Summary

Scope and Definition

1 Markets

  • 1.1 Data Center Trends: Current and Future Impact Assessment
    • 1.1.1 Data Center Capacities: Current and Future
    • 1.1.2 AI Workloads vs. Conventional Workloads
    • 1.1.3 Data Center Power Consumption Scenario
    • 1.1.4 Key Countries to Focus
    • 1.1.5 Other Industrial Trends
      • 1.1.5.1 HPC Cluster Developments
      • 1.1.5.2 Blockchain Initiatives
      • 1.1.5.3 Super Computing
      • 1.1.5.4 5G and 6G Developments
      • 1.1.5.5 Impact of Server/Rack Density
  • 1.2 Data Center Cooling Market Overview
    • 1.2.1 Global and Regional Market size
    • 1.2.2 Adoption of Cooling (by Data Center Age)
    • 1.2.3 Retrofitting and Brownfield Projects
    • 1.2.4 Green Field Projects and New Installation
    • 1.2.5 Historical Analysis of Cooling Equipment Deployment, 2018-2022
    • 1.2.6 New Data Center Trends toward Adoption of Cooling Technology Type, 2023-2027
    • 1.2.7 Impact of AI Adoption on Data Center Cooling Infrastructure
  • 1.3 Research and Development Review
    • 1.3.1 Patent Filing Trend (by Country, by Company)
  • 1.4 Stakeholder Analysis
    • 1.4.1 Use Case
    • 1.4.2 End User and Buying Criteria
  • 1.5 Market Dynamics Overview
    • 1.5.1 Market Drivers
      • 1.5.1.1 Surging Demand for Cryptocurrency Mining
      • 1.5.1.2 Rising Enterprise Adoption of Data Center GPUs for High-Performance Computing Applications
    • 1.5.2 Market Restraints
      • 1.5.2.1 High Bargaining Power of GPU Manufacturers
    • 1.5.3 Market Opportunities
      • 1.5.3.1 Technological Advancement in High-Performing Computing (HPC)
      • 1.5.3.2 Government Support for Smart City Development and Digitalization

2 Application

  • 2.1 Application Segmentation
  • 2.2 Application Summary
  • 2.3 Data Center GPUs Market (by Application)
    • 2.3.1 Hyperscale
    • 2.3.2 Colocation
    • 2.3.3 Enterprise
    • 2.3.4 Others

3 Products

  • 3.1 Product Segmentation
  • 3.2 Product Summary
  • 3.3 Data Center GPUs Market (by Product)
    • 3.3.1 Conventional GPUs
    • 3.3.2 Accelerated AI GPUs
      • 3.3.2.1 Training GPUs
      • 3.3.2.2 Inference GPUs
      • 3.3.2.3 Hybrid or Mixed-Workload GPUs

4 Regions

  • 4.1 Regional Summary
  • 4.2 North America
    • 4.2.1 Regional Overview
    • 4.2.2 Driving Factors for Market Growth
    • 4.2.3 Factors Challenging the Market
    • 4.2.4 Application
    • 4.2.5 Product
    • 4.2.6 North America (by Country)
      • 4.2.6.1 U.S.
        • 4.2.6.1.1 Application
        • 4.2.6.1.2 Product
      • 4.2.6.2 Canada
        • 4.2.6.2.1 Application
        • 4.2.6.2.2 Product
      • 4.2.6.3 Mexico
        • 4.2.6.3.1 Application
        • 4.2.6.3.2 Product
  • 4.3 Europe
    • 4.3.1 Regional Overview
    • 4.3.2 Driving Factors for Market Growth
    • 4.3.3 Factors Challenging the Market
    • 4.3.4 Application
    • 4.3.5 Product
    • 4.3.6 Europe (by Country)
      • 4.3.6.1 Germany
        • 4.3.6.1.1 Application
        • 4.3.6.1.2 Product
      • 4.3.6.2 France
        • 4.3.6.2.1 Application
        • 4.3.6.2.2 Product
      • 4.3.6.3 U.K.
        • 4.3.6.3.1 Application
        • 4.3.6.3.2 Product
      • 4.3.6.4 Netherlands
        • 4.3.6.4.1 Application
        • 4.3.6.4.2 Product
      • 4.3.6.5 Ireland
        • 4.3.6.5.1 Application
        • 4.3.6.5.2 Product
      • 4.3.6.6 Italy
        • 4.3.6.6.1 Application
        • 4.3.6.6.2 Product
      • 4.3.6.7 Rest-of-Europe
        • 4.3.6.7.1 Application
        • 4.3.6.7.2 Product
  • 4.4 Asia-Pacific
    • 4.4.1 Regional Overview
    • 4.4.2 Driving Factors for Market Growth
    • 4.4.3 Factors Challenging the Market
    • 4.4.4 Application
    • 4.4.5 Product
    • 4.4.6 Asia-Pacific (by Country)
      • 4.4.6.1 China
        • 4.4.6.1.1 Application
        • 4.4.6.1.2 Product
      • 4.4.6.2 Japan
        • 4.4.6.2.1 Application
        • 4.4.6.2.2 Product
      • 4.4.6.3 Australia
        • 4.4.6.3.1 Application
        • 4.4.6.3.2 Product
      • 4.4.6.4 India
        • 4.4.6.4.1 Application
        • 4.4.6.4.2 Product
      • 4.4.6.5 South Korea
        • 4.4.6.5.1 Application
        • 4.4.6.5.2 Product
      • 4.4.6.6 Rest-of-Asia-Pacific
        • 4.4.6.6.1 Application
        • 4.4.6.6.2 Product
  • 4.5 Rest-of-the-World
    • 4.5.1 Regional Overview
    • 4.5.2 Driving Factors for Market Growth
    • 4.5.3 Factors Challenging the Market
    • 4.5.4 Application
    • 4.5.5 Product

5 Markets - Competitive Benchmarking and Company Profiles

  • 5.1 Geographic Assessment
  • 5.2 Company Profiles
    • 5.2.1 External GPU/ Accelerator Chip Suppliers
      • 5.2.1.1 NVIDIA Corporation
        • 5.2.1.1.1 Overview
        • 5.2.1.1.2 Top Products/Product Portfolio
        • 5.2.1.1.3 Top Competitors
        • 5.2.1.1.4 Target Customers/End Users
        • 5.2.1.1.5 Key Personnel
        • 5.2.1.1.6 Analyst View
        • 5.2.1.1.7 Market Share, 2024
      • 5.2.1.2 Advanced Micro Devices, Inc.
        • 5.2.1.2.1 Overview
        • 5.2.1.2.2 Top Products/Product Portfolio
        • 5.2.1.2.3 Top Competitors
        • 5.2.1.2.4 Target Customers/End Users
        • 5.2.1.2.5 Key Personnel
        • 5.2.1.2.6 Analyst View
        • 5.2.1.2.7 Market Share, 2024
      • 5.2.1.3 Intel
        • 5.2.1.3.1 Overview
        • 5.2.1.3.2 Top Products/Product Portfolio
        • 5.2.1.3.3 Top Competitors
        • 5.2.1.3.4 Target Customers/End Users
        • 5.2.1.3.5 Key Personnel
        • 5.2.1.3.6 Analyst View
        • 5.2.1.3.7 Market Share, 2024
      • 5.2.1.4 Graphcore
        • 5.2.1.4.1 Overview
        • 5.2.1.4.2 Top Products/Product Portfolio
        • 5.2.1.4.3 Top Competitors
        • 5.2.1.4.4 Target Customers/End Users
        • 5.2.1.4.5 Key Personnel
        • 5.2.1.4.6 Analyst View
        • 5.2.1.4.7 Market Share, 2024
      • 5.2.1.5 Tenstorrent
        • 5.2.1.5.1 Overview
        • 5.2.1.5.2 Top Products/Product Portfolio
        • 5.2.1.5.3 Top Competitors
        • 5.2.1.5.4 Target Customers/End Users
        • 5.2.1.5.5 Key Personnel
        • 5.2.1.5.6 Analyst View
        • 5.2.1.5.7 Market Share, 2024
      • 5.2.1.6 Groq, Inc.
        • 5.2.1.6.1 Overview
        • 5.2.1.6.2 Top Products/Product Portfolio
        • 5.2.1.6.3 Top Competitors
        • 5.2.1.6.4 Target Customers/End Users
        • 5.2.1.6.5 Key Personnel
        • 5.2.1.6.6 Analyst View
        • 5.2.1.6.7 Market Share, 2024
      • 5.2.1.7 Cerebras
        • 5.2.1.7.1 Overview
        • 5.2.1.7.2 Top Products/Product Portfolio
        • 5.2.1.7.3 Top Competitors
        • 5.2.1.7.4 Target Customers/End Users
        • 5.2.1.7.5 Key Personnel
        • 5.2.1.7.6 Analyst View
        • 5.2.1.7.7 Market Share, 2024
    • 5.2.2 In-House Data Center Accelerator Developers
      • 5.2.2.1 Google
        • 5.2.2.1.1 Overview
        • 5.2.2.1.2 Top Products/Product Portfolio
        • 5.2.2.1.3 Top Competitors
        • 5.2.2.1.4 Target Customers/End Users
        • 5.2.2.1.5 Key Personnel
        • 5.2.2.1.6 Analyst View
      • 5.2.2.2 Amazon
        • 5.2.2.2.1 Overview
        • 5.2.2.2.2 Top Products/Product Portfolio
        • 5.2.2.2.3 Top Competitors
        • 5.2.2.2.4 Target Customers/End Users
        • 5.2.2.2.5 Key Personnel
        • 5.2.2.2.6 Analyst View
      • 5.2.2.3 Meta
        • 5.2.2.3.1 Overview
        • 5.2.2.3.2 Top Products/Product Portfolio
        • 5.2.2.3.3 Top Competitors
        • 5.2.2.3.4 Target Customers/End Users
        • 5.2.2.3.5 Key Personnel
        • 5.2.2.3.6 Analyst View
      • 5.2.2.4 Huawei Technologies Co., Ltd.
        • 5.2.2.4.1 Overview
        • 5.2.2.4.2 Top Products/Product Portfolio
        • 5.2.2.4.3 Top Competitors
        • 5.2.2.4.4 Target Customers/End Users
        • 5.2.2.4.5 Key Personnel
        • 5.2.2.4.6 Analyst View
      • 5.2.2.5 Alibaba
        • 5.2.2.5.1 Overview
        • 5.2.2.5.2 Top Products/Product Portfolio
        • 5.2.2.5.3 Top Competitors
        • 5.2.2.5.4 Target Customers/End Users
        • 5.2.2.5.5 Key Personnel
        • 5.2.2.5.6 Analyst View
      • 5.2.2.6 Baidu, Inc.
        • 5.2.2.6.1 Overview
        • 5.2.2.6.2 Top Products/Product Portfolio
        • 5.2.2.6.3 Top Competitors
        • 5.2.2.6.4 Target Customers/End Users
        • 5.2.2.6.5 Key Personnel
        • 5.2.2.6.6 Analyst View

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources
    • 6.1.3 Data Triangulation
  • 6.2 Market Estimation and Forecast