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人工知能（AI）サーバーの世界市場

Artificial Intelligence (AI) Servers

出版日
ページ情報
英文 130 Pages
納期
即日から翌営業日
適宜更新あり
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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=147.92円
人工知能（AI）サーバーの世界市場
出版日: 2025年08月27日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 130 Pages
納期: 即日から翌営業日
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概要

人工知能（AI）サーバーの世界市場は2030年までに846億米ドルに到達

2024年に580億米ドルと推定される人工知能（AI）サーバーの世界市場は、2024年から2030年にかけてCAGR 6.5%で成長し、2030年には846億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるAIトレーニングサーバーは、CAGR 7.3％を記録し、分析期間終了までに613億米ドルに達すると予測されます。AI推論サーバーセグメントの成長率は、分析期間中CAGR 4.6%と推定されます。

米国市場は推定153億米ドル、中国はCAGR6.2％で成長予測

米国の人工知能（AI）サーバー市場は、2024年に153億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに135億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは6.2%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ5.9%と5.5%と予測されています。欧州では、ドイツがCAGR 5.1%で成長すると予測されています。

世界の人工知能（AI）サーバー市場- 主要動向と促進要因まとめ

なぜAIサーバーがデータ駆動型世界におけるインテリジェント・コンピューティングの基幹となるのか？

人工知能サーバーは、インテリジェント・コンピューティング時代の基盤となるインフラとして登場し、データの急激な増加とAIワークロードの複雑化に対応するために必要な処理能力を実現しています。ヘルスケア、金融、製造、自動車、サイバーセキュリティなどの業界でAIの導入が拡大するにつれ、ディープラーニング、機械学習、ニューラルネットワークのトレーニングをサポートできる高性能サーバーの必要性が重要になっています。従来のサーバーとは異なり、AIサーバーは、GPU、TPU、高速メモリー、並列処理タスクを加速するように設計された相互接続を統合した高度なアーキテクチャで構築されています。これらのサーバーは、大規模な言語モデル、コンピューター・ビジョン・システム、予測分析エンジンのリアルタイム推論と高スループットのトレーニングを容易にします。不正検知、個別化医療、音声認識、自律システムなどのタスクにAIを活用している企業は、こうした専用サーバーの膨大な計算能力に依存しています。さらに、ビッグデータとエッジAIアプリケーションの台頭により、データを集中型データセンターだけでなくエッジロケーションでも処理する必要がある分散型AIインフラへの需要が高まっています。AIサーバーは、クラウドとオンプレミスの両方の展開において中心的な役割を果たし、企業にワークロードを安全かつ効率的に管理する柔軟性を与えます。また、膨大な計算リソースを必要とするTensorFlow、PyTorch、ONNXなどの最新の開発フレームワークをサポートする上でも極めて重要です。企業がAIを競争上の優位性と見なす傾向が強まる中、AIに最適化されたサーバーへの投資は加速しています。その重要性は、国家のデジタルトランスフォーメーション戦略、スマートシティ開発、自律型技術エコシステムにおいてAIの統合が進み、世界のデジタル経済にとってAIが不可欠となっていることからも、さらに浮き彫りになっています。

アーキテクチャの革新とコンポーネントの進歩は、どのようにサーバーのパフォーマンスを牽引しているのか？

AIサーバーの進化は、サーバー・アーキテクチャとコンポーネント技術の絶え間ない革新によって推進されており、パフォーマンス、スケーラビリティ、エネルギー効率の大幅な向上を可能にしています。最新のAIサーバーの中核をなすのは高密度GPU構成で、その多くはNVIDIA A100、H100、AMD Instinct、または驚異的な速度で並列計算を実行できる数千のコアを提供するカスタムAIアクセラレータを搭載しています。これらのコンポーネントは、多くの場合、マルチソケットCPU、高帯域幅DDR5およびHBMメモリ、およびコンピュートユニット間の迅速なデータ移動を保証するPCIe Gen 5インターフェイスと組み合わされます。NVLink、CXL、およびNVSwitchテクノロジーは、サーバー内のシームレスな相互接続を促進し、レイテンシのボトルネックを排除してワークロードのスループットを向上させるために統合されています。AIワークロードでは、膨大なデータセットを迅速に処理して保存する必要があるため、高速NVMe SSDとストレージクラスのメモリがサーバー構成に広く採用されています。また、高密度コンピューティング環境から発生する高熱を管理するために、液冷や液浸技術などの冷却技術も導入されています。現在、多くのAIサーバーはモジュール化を念頭に設計されており、企業は消費電力を最適化しながら、計算ニーズに応じてインフラを拡張することができます。さらに、AIサーバーの設計は、大規模な自然言語処理モデルのトレーニング用に微調整されたモデルや、推論やリアルタイム分析に向けたモデルなど、特定のワークロード向けに最適化されつつあります。ベンダーは、リアルタイム監視、予知保全、パフォーマンス・パラメーターの自動チューニングを提供するため、サーバー・エコシステム内にAI主導の遠隔測定および管理ソフトウェアを組み込んでいます。このようにハードウェアとインテリジェント・ソフトウェアが融合することで、AIサーバーは、次世代のインテリジェント・アプリケーション特有の要求を満たすことができる、適応力のある自己最適化プラットフォームへと変貌を遂げつつあります。

業界特有のニーズ、クラウドの動向、導入モデルは市場の需要にどのように影響するか？

AIサーバーの需要は、業界固有の要件、クラウドコンピューティングの急速な拡大、展開モデルにおける嗜好の進化によって大きく形成されています。ヘルスケアなどの分野では、AIサーバーは、画像診断分析、創薬、患者の転帰予測などの重要なアプリケーションをサポートしています。金融分野では、高頻度取引、不正検知、信用スコアリングが、強力なバックエンド・インフラによって実現されるAI主導の迅速な意思決定に依存しています。自動車業界では、AIサーバーを活用して、シミュレーション環境や実走行映像から得た膨大なデータセットを用いて自律走行アルゴリズムのトレーニングを行っています。一方、小売業やeコマースでは、顧客行動分析やレコメンデーション・エンジンが、AIに最適化されたサーバー・インフラへの依存度を高めています。こうしたさまざまなアプリケーションによって、汎用的なサーバー構成と業界固有のサーバー構成の両方に対する需要が高まっています。クラウド・サービス・プロバイダーは、企業が物理的なインフラを所有することなくAIサーバーを利用できるAI-as-a-Serviceを提供することで、AI機能へのアクセスを拡大する上で極めて重要な役割を果たしています。このモデルは、パブリック、プライベート、エッジの各環境にワークロードを分散させるハイブリッドおよびマルチクラウド戦略の登場によって大きく成長しました。そのためAIサーバーのベンダーは、クラウドネイティブでコンテナに最適化されたハードウェアを設計し、KubernetesやDockerなどのフレームワークをサポートして柔軟なデプロイを実現しています。エッジ・コンピューティングも設計に影響を与えており、遠隔地や移動可能な場所に展開できるコンパクトなAIサーバーの開発が進められています。これらのエッジサーバーは、データソースの近くでリアルタイムの意思決定を可能にし、レイテンシーと帯域幅のコストを削減します。AIがより多くの産業や業務環境に浸透するにつれて、AIサーバーの市場は多様化しており、クラウド・ハイパースケーラー、エンタープライズ・データセンター、産業エッジ・アプリケーションのいずれにも対応するソリューションが提供されています。

AIサーバー市場の世界の成長加速の要因は？

AIサーバー市場の成長は、インテリジェンス主導のオペレーション、自動化、データ中心のイノベーションへの世界の移行を反映するいくつかの相乗的な力によって牽引されています。ビジネスオペレーション、公共サービス、科学研究、防衛におけるAIの広範な採用は、AIに最適化されたサーバーだけが対応できる計算能力への絶え間ない需要を生み出しています。最も大きな原動力の1つは、デジタル機器、IoTセンサー、ソーシャルメディア・プラットフォーム、企業アプリケーションによって生成されるデータの急激な増加です。AIサーバーは、このデータをリアルタイムで処理し、実用的な洞察を導き出すために必要なインフラを提供します。また、生成AIや会話インターフェイスで使用されるような大規模な言語モデルの開発と導入が急増していることも、数兆ものパラメータを処理できる超高性能なトレーニングサーバーの需要を促進しています。世界各国の政府は、科学、ヘルスケア、セキュリティにおける国家能力を強化するためにAIスーパーコンピューティング・インフラに投資しており、市場拡大に貢献しています。チップ、メモリ、インターコネクトの技術的進歩により、コンピュートユニットあたりのコストが削減され、AIサーバーが中小企業にも利用しやすくなっています。さらに、スマート・マニュファクチャリング、インダストリー4.0、スマート・シティ・インフラストラクチャーを推進するイニシアチブにより、AIサーバーが物理的環境に組み込まれ、ロボット工学、自動化、予知保全システムの動力源となっています。サイバー脅威の高度化も要因の一つで、AIサーバーは迅速かつ適応的な対応が求められる脅威検知アルゴリズムの実行に使用されています。半導体企業、サーバーメーカー、クラウドプロバイダー間の戦略的コラボレーションは、イノベーションと市場浸透を加速させています。AIが世界経済全体の戦略的優先事項となるにつれ、AIサーバー市場は堅調なペースで拡大を続け、インテリジェントな未来の計算エンジンとして進化していくと予想されます。

セグメント

タイプ（AIトレーニングサーバー、AI推論サーバー）、処理ユニット（GPUベース処理ユニット、非GPUベース処理ユニット）

調査対象企業の例

  • Alibaba Cloud
  • Amazon Web Services（AWS）
  • AMD
  • Arm Holdings
  • Baidu
  • Cisco
  • Cray（Hewlett Packard Enterprise）
  • Dell Technologies
  • Fujitsu
  • Google Cloud
  • Hewlett Packard Enterprise
  • Huawei
  • Inspur
  • Intel
  • IBM
  • Lenovo
  • Microsoft Azure
  • NVIDIA
  • Oracle
  • Supermicro

AIインテグレーション

私たちは、検証された専門家のコンテンツとAIツールによって、市場と競合情報を変革しています。

Global Industry Analystsは、LLMや業界固有のSLMを照会する一般的な規範に従う代わりに、ビデオ記録、ブログ、検索エンジン調査、膨大な量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP38495

Global Artificial Intelligence (AI) Servers Market to Reach US$84.6 Billion by 2030

The global market for Artificial Intelligence (AI) Servers estimated at US$58.0 Billion in the year 2024, is expected to reach US$84.6 Billion by 2030, growing at a CAGR of 6.5% over the analysis period 2024-2030. AI Training Server, one of the segments analyzed in the report, is expected to record a 7.3% CAGR and reach US$61.3 Billion by the end of the analysis period. Growth in the AI Inference Server segment is estimated at 4.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$15.3 Billion While China is Forecast to Grow at 6.2% CAGR

The Artificial Intelligence (AI) Servers market in the U.S. is estimated at US$15.3 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$13.5 Billion by the year 2030 trailing a CAGR of 6.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 5.9% and 5.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 5.1% CAGR.

Global Artificial Intelligence (AI) Servers Market - Key Trends & Drivers Summarized

Why Are AI Servers the Backbone of Intelligent Computing in a Data-Driven World?

Artificial Intelligence servers have emerged as foundational infrastructure in the era of intelligent computing, enabling the processing power required to handle the exponential growth in data and the increasing complexity of AI workloads. As AI adoption expands across industries such as healthcare, finance, manufacturing, automotive, and cybersecurity, the need for high-performance servers capable of supporting deep learning, machine learning, and neural network training has become critical. Unlike conventional servers, AI servers are built with advanced architectures that integrate GPUs, TPUs, high-speed memory, and interconnects designed to accelerate parallel processing tasks. These servers facilitate real-time inferencing and high-throughput training of large language models, computer vision systems, and predictive analytics engines. Organizations leveraging AI for tasks like fraud detection, personalized medicine, speech recognition, and autonomous systems rely on the massive computational capabilities of these specialized servers. Furthermore, the rise of big data and edge AI applications has intensified the demand for distributed AI infrastructure, where data needs to be processed not only in centralized data centers but also across edge locations. AI servers are central to both cloud and on-premise deployments, giving enterprises the flexibility to manage workloads securely and efficiently. They are also crucial in supporting modern development frameworks such as TensorFlow, PyTorch, and ONNX, which require extensive computational resources. As businesses increasingly view AI as a competitive advantage, investments in AI-optimized servers are accelerating. Their importance is further underscored by the rising integration of AI in national digital transformation strategies, smart city development, and autonomous technology ecosystems, making them indispensable to the global digital economy.

How Are Architectural Innovations and Component Advancements Driving Server Performance?

The evolution of AI servers is being propelled by continuous innovation in server architecture and component technologies, allowing for vastly improved performance, scalability, and energy efficiency. At the heart of modern AI servers are high-density GPU configurations, many featuring NVIDIA A100, H100, AMD Instinct, or custom AI accelerators that deliver thousands of cores capable of executing parallel computations at blistering speeds. These components are often paired with multi-socket CPUs, high-bandwidth DDR5 and HBM memory, and PCIe Gen 5 interfaces to ensure rapid data movement between compute units. NVLink, CXL, and NVSwitch technologies are being integrated to facilitate seamless interconnectivity within the server, eliminating latency bottlenecks and enhancing workload throughput. AI workloads require massive datasets to be processed and stored quickly, which is why high-speed NVMe SSDs and storage-class memory are being adopted widely in server configurations. Cooling innovations such as liquid cooling and immersion techniques are also being implemented to manage the intense heat generated by high-density computing environments. Many AI servers are now designed with modularity in mind, allowing enterprises to scale their infrastructure based on computational needs while optimizing power consumption. Furthermore, AI server designs are becoming increasingly optimized for specific workloads, with some models fine-tuned for training large-scale natural language processing models and others geared toward inferencing or real-time analytics. Vendors are embedding AI-driven telemetry and management software within server ecosystems to provide real-time monitoring, predictive maintenance, and automated tuning of performance parameters. This convergence of hardware and intelligent software is transforming AI servers into adaptive, self-optimizing platforms capable of meeting the unique demands of next-generation intelligent applications.

How Do Industry-Specific Needs, Cloud Trends, and Deployment Models Influence Market Demand?

The demand for AI servers is being heavily shaped by sector-specific requirements, the rapid expansion of cloud computing, and evolving preferences in deployment models. In sectors like healthcare, AI servers support critical applications such as diagnostic imaging analysis, drug discovery, and patient outcome prediction, all of which require high computational precision and data privacy. In the financial sector, high-frequency trading, fraud detection, and credit scoring rely on rapid AI-driven decision-making enabled by powerful backend infrastructure. The automotive industry is leveraging AI servers to train autonomous driving algorithms using massive datasets from simulation environments and real-world driving footage. Meanwhile, in retail and e-commerce, customer behavior analytics and recommendation engines are increasingly dependent on AI-optimized server infrastructure. These varying applications drive demand for both general-purpose and industry-specific server configurations. Cloud service providers are playing a pivotal role in expanding access to AI capabilities by offering AI-as-a-service, which allows organizations to utilize AI servers without owning physical infrastructure. This model has grown significantly with the advent of hybrid and multi-cloud strategies, where workloads are distributed across public, private, and edge environments. AI server vendors are therefore designing hardware that is cloud-native and container-optimized, supporting frameworks like Kubernetes and Docker for flexible deployment. Edge computing is also influencing design, prompting the development of compact AI servers that can be deployed in remote or mobile locations. These edge servers enable real-time decision-making close to data sources, reducing latency and bandwidth costs. As AI permeates more industries and operational environments, the market for AI servers is diversifying, with solutions tailored for cloud hyperscalers, enterprise data centers, and industrial edge applications alike.

What Is Fueling the Accelerated Growth of the AI Server Market Globally?

The growth in the AI server market is driven by several synergistic forces that reflect a global transition toward intelligence-led operations, automation, and data-centric innovation. The widespread adoption of AI in business operations, public services, scientific research, and defense is creating a relentless demand for computational power that only AI-optimized servers can meet. One of the most significant drivers is the exponential growth of data generated by digital devices, IoT sensors, social media platforms, and enterprise applications. AI servers provide the necessary infrastructure to process this data in real time and derive actionable insights. The surge in development and deployment of large language models, such as those used in generative AI and conversational interfaces, is also fueling demand for ultra-high-performance training servers that can handle trillions of parameters. Governments around the world are investing in AI supercomputing infrastructure to enhance national capabilities in science, healthcare, and security, contributing to market expansion. Technological advances in chips, memory, and interconnects are reducing the cost per compute unit, making AI servers more accessible to small and mid-sized businesses. Moreover, initiatives promoting smart manufacturing, Industry 4.0, and smart city infrastructure are embedding AI servers into physical environments where they power robotics, automation, and predictive maintenance systems. The growing sophistication of cyber threats is another factor, as AI servers are used to run threat detection algorithms that require rapid and adaptive responses. Strategic collaborations between semiconductor firms, server manufacturers, and cloud providers are accelerating innovation and market penetration. As AI becomes a strategic priority across the global economy, the AI server market is expected to continue expanding at a robust pace, evolving as the computational engine of the intelligent future.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence (AI) Servers market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Type (AI Training Server, AI Inference Server); Processing Unit (GPU-based Processing Unit, Non-GPU-based Processing Unit)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 34 Featured) -

  • Alibaba Cloud
  • Amazon Web Services (AWS)
  • AMD
  • Arm Holdings
  • Baidu
  • Cisco
  • Cray (Hewlett Packard Enterprise)
  • Dell Technologies
  • Fujitsu
  • Google Cloud
  • Hewlett Packard Enterprise
  • Huawei
  • Inspur
  • Intel
  • IBM
  • Lenovo
  • Microsoft Azure
  • NVIDIA
  • Oracle
  • Supermicro

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Tariff Impact on Global Supply Chain Patterns
    • Artificial Intelligence (AI) Servers - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Explosive Growth in AI Workloads and Model Complexity Spurs Demand for High-Performance AI Servers
    • Here's How Generative AI and LLM Deployments Strengthen the Business Case for Purpose-Built AI Server Architectures
    • Rising GPU and Accelerator Adoption Throws the Spotlight on Compute-Dense, Liquid-Cooled Server Infrastructure
    • Data Center Modernization and Edge AI Expansion Expand the Addressable Market for Scalable AI Server Deployments
    • Here's the Story: Hyperscale Cloud Providers Lead the Demand for Customizable, Multi-GPU AI Server Platforms
    • Surging AI Adoption Across Healthcare, Finance, and Automotive Drives Sector-Specific AI Server Configurations
    • Open Compute and Modular Server Designs Drive Flexibility and Speed in AI Hardware Procurement Cycles
    • Here's How Integration of AI Servers with High-Speed Networking and Storage Infrastructure Optimizes End-to-End AI Pipelines
    • AI-Powered Cybersecurity, Predictive Analytics, and Automation Use Cases Drive Enterprise AI Server Installations
    • Growing Demand for On-Premise AI Compute in Regulated Industries Spurs Hybrid Cloud and Private AI Server Deployments
    • Chip-Level Innovation by GPU, CPU, and AI ASIC Vendors Shapes Server Architecture Design and Competitive Differentiation
    • Here's How AI Infrastructure-as-a-Service (AI-IaaS) and AI DevOps Trends Unlock Recurring Revenue Streams for Server Vendors
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence (AI) Servers Market Analysis of Annual Sales in US$ Million for Years 2014 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence (AI) Servers by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for AI Training Server by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for AI Training Server by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for AI Inference Server by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for AI Inference Server by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for GPU-based Processing Unit by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for GPU-based Processing Unit by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Non-GPU-based Processing Unit by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Non-GPU-based Processing Unit by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 12: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 13: USA 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 14: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 15: USA 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • CANADA
    • TABLE 16: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 17: Canada 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 18: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 19: Canada 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 20: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 21: Japan 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 22: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 23: Japan 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 24: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 25: China 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 26: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 27: China 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 28: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: Europe 6-Year Perspective for Artificial Intelligence (AI) Servers by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 30: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Europe 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 32: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Europe 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 34: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: France 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 36: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: France 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 38: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Germany 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 40: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Germany 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • ITALY
    • TABLE 42: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Italy 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 44: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Italy 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 46: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: UK 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 48: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: UK 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 50: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 52: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence (AI) Servers Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 54: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 56: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 58: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Type - AI Training Server and AI Inference Server - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Rest of World 6-Year Perspective for Artificial Intelligence (AI) Servers by Type - Percentage Breakdown of Value Sales for AI Training Server and AI Inference Server for the Years 2025 & 2030
    • TABLE 60: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Servers by Processing Unit - GPU-based Processing Unit and Non-GPU-based Processing Unit - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Rest of World 6-Year Perspective for Artificial Intelligence (AI) Servers by Processing Unit - Percentage Breakdown of Value Sales for GPU-based Processing Unit and Non-GPU-based Processing Unit for the Years 2025 & 2030

IV. COMPETITION