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市場調査レポート
商品コード
1452828
サービスとしてのGPUの世界市場規模、シェア、成長分析、製品別、サービスモデル別、配信モデル別 - 産業予測2024～2031年Global GPU As a Service Market Size, Share, Growth Analysis, By Product(Software, CAD/CAM), By Service Model(SaaS, PaaS), By Delivery Model(Public Cloud, Private Cloud) - Industry Forecast 2024-2031 |
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| サービスとしてのGPUの世界市場規模、シェア、成長分析、製品別、サービスモデル別、配信モデル別 - 産業予測2024～2031年 |
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出版日: 2024年03月09日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3～5営業日
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- 全表示
- 概要
- 目次
世界のサービスとしてのGPUの市場規模は、2022年に50億米ドルとなり、予測期間（2024～2031年）のCAGRは32%で成長し、2023年の66億米ドルから、2031年までには608億3,000万米ドルに成長する見通しです。
さまざまな業界で優れた処理能力へのニーズが高まっていることが、サービスとしてのGPU（GPUaaS）市場の世界の急成長を後押ししています。この最先端のクラウド・コンピューティング・アプローチを利用することで、企業は高性能GPUを利用した分だけ支払うことができるようになり、複雑なシミュレーションやデータ分析、人工知能（AI）トレーニングなど、リソース集約型のプロジェクトに柔軟に対応できるようになりました。市場は、テクノロジーの様相を変えつつある最新の開拓から恩恵を受ける立場にあります。
GPUとAIおよび機械学習（ML）フレームワークの融合は、現在使用されている動向の1つです。AIの利用が広まるにつれて、トレーニングや推論の手順を高速化するためにGPUに依存する企業が増えています。AIとGPUの組み合わせは、ヘルスケア（AIが診断を支援）や金融（GPUが大規模データセットの分析を高速化）など、多くの分野に革命をもたらしています。ハイブリッドやマルチクラウドのGPU実装の増加も注目すべき進展です。企業は、エッジデバイス、パブリッククラウド、オンプレミスのインフラ間でワークロードを意図的に割り当てることで、リソースの利用を最大化し、レイテンシを減らしてパフォーマンスを向上させています。
目次
エグゼクティブサマリー
- 市場概要
- 運命の輪
調査手法
- 情報調達
- 二次・一次情報源
- 市場規模の推定
- 市場の前提条件と制限
親市場の分析
- 市場概要
- 市場規模
- 市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
主な市場の考察
- 技術分析
- 価格分析
- サプライチェーン分析
- バリューチェーン分析
- 市場のエコシステム
- IP分析
- 貿易分析
- スタートアップ分析
- 原材料の分析
- イノベーションマトリクス
- パイプライン製品の分析
- マクロ経済指標
- 主な投資の分析
- 主な成功要因
- 競合の程度
市場力学と見通し
- 市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
- 規制情勢
- ポーターの分析
- 将来の混乱についての特別な考察
サービスとしてのGPUの世界市場：製品別
- 市場概要
- ソフトウェア
- CAD/CAM
- シミュレーション
- イメージング
- デジタルビデオ
- モデリング・自動化
- サービス
- マネージドサービス
- アップデート・メンテナンス
- コンプライアンス・セキュリティ
- その他
サービスとしてのGPUの世界市場：サービスモデル別
- 市場概要
- SaaS
- PaaS
- IaaS
サービスとしてのGPUの世界市場：配信モデル別
- 市場概要
- パブリッククラウド
- プライベートクラウド
- ハイブリッドクラウド
サービスとしてのGPUの世界市場規模：地域別
- 市場概要
- 北米
- 米国
- カナダ
- 欧州
- ドイツ
- スペイン
- フランス
- 英国
- その他欧州地域
- アジア太平洋
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋
- ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
- 中東・アフリカ（MEA）
- GCC諸国
- 南アフリカ
- その他中東・アフリカ地域
競合情勢
- 上位5社の比較
- 主要企業の市場ポジショニング（2021年）
- 主な市場企業が採用した戦略
- 主要成功戦略
- 市場における最近の活動
- 主要企業の市場シェア（2021年）
主要企業プロファイル
- NVIDIA（US）
- Amazon Web Services（US）
- Microsoft（US）
- Google Cloud（US）
- IBM（US）
- Alibaba Cloud（China）
- Tencent Cloud（China）
- Baidu（China）
- ATOS（France）
- Fujitsu（Japan）
- Dell EMC（US）
- Penguin Computing（US）
- Nimbix（US）
- ScaleMatrix（US）
- Paperspace（US）
- G-Core Labs（Germany）
- Sheepdog Computing（US）
- Anyscale（US）
- Cerebras Systems（US）
- Rescale（US）
Global GPU As A Service Market size was valued at USD 5 billion in 2022 and is poised to grow from USD 6,60 billion in 2023 to USD 60.83 billion by 2031, growing at a CAGR of 32% in the forecast period (2024-2031).
The increasing need for superior processing power in various industries is propelling the rapid growth of the global GPU as a service (GPUaaS) market. With the help of this cutting-edge cloud computing approach, companies can now pay as they go for high-performance GPUs, giving them the flexibility to take on resource-intensive projects like complicated simulations, data analytics, and artificial intelligence (AI) training. The market is positioned to benefit from the newest developments that are changing the face of technology.
The convergence of GPUs with AI and machine learning (ML) frameworks is one trend that is currently in use. Organizations are depending more and more on GPUs to speed up training and inference procedures as AI use spreads. The combination of AI with GPUs is revolutionizing a number of areas, including healthcare (where AI helps with diagnosis) and finance (where GPUs speed up the analysis of large datasets). The increase in hybrid and multi-cloud GPU implementations is another noteworthy development. Companies are deliberately allocating workloads among edge devices, public clouds, and on-premises infrastructure in order to maximize resource usage and reduce latency for better performance.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global GPU As A Service Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global GPU As A Service Market Segmental Analysis
Based on product, service type, delivery model, application, and region, the global GPU as a service market is divided into many segments. Software, CAD/CAM, simulation, imaging, digital video, modeling & automation, others, service, managed service, updates & maintenance, compliance & security, and others are the product categories into which the market is divided. The market has three segments based on service models: SaaS, PaaS, and IaaS. The market is divided into public cloud, private cloud, and hybrid cloud segments based on the delivery model. The market is divided into several segments based on application, including gaming, design & manufacturing, automotive, real estate, and healthcare. The market is divided into North America, Europe, Latin America, Asia-Pacific, the Middle East, and Africa based on geographic regions.
Drivers of the Global GPU As A Service Market
The market for GPU as a Service (GPUaaS) is being driven in large part by the growing need for high-performance computing to enable AI and machine learning applications. The ability of GPUs to analyze data in parallel improves the speed and efficiency of training and inferring AI models, which is why companies are compelled to use GPUaaS in order to use this computational capacity.
Restraints in the Global GPU As A Service Market
Low latency is necessary for real-time applications that largely rely on GPUs, including gaming and AR/VR. But network latency can affect GPUaaS application performance, which can be problematic for apps that need fast response times.
Market Trends of the Global GPU As A Service Market
Edge GPUaaS: There is a growing movement to bring GPUaaS capabilities to the periphery. Edge GPUaaS lowers latency and improves responsiveness by enabling real-time processing for IoT, edge AI, and remote monitoring applications.
Specialized GPU Instances: Vendors are supplying GPU instances that are tailored to particular tasks, such rendering, scientific simulations, and AI training. Users can now choose GPU configurations based on their own requirements thanks to this trend.
Hybrid Cloud Deployments: Companies are implementing hybrid cloud strategies that integrate public and private cloud services with on-premises infrastructure. By allocating GPU resources optimally, this method addresses both data security issues and a range of computational demands.
Table of Contents
Executive Summary
- Market Overview
- Wheel of Fortune
Research Methodology
- Information Procurement
- Secondary & Primary Data Sources
- Market Size Estimation
- Market Assumptions & Limitations
Parent Market Analysis
- Market Overview
- Market Size
- Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Key Market Insights
- Technology Analysis
- Pricing Analysis
- Supply Chain Analysis
- Value Chain Analysis
- Ecosystem of the Market
- IP Analysis
- Trade Analysis
- Startup Analysis
- Raw Material Analysis
- Innovation Matrix
- Pipeline Product Analysis
- Macroeconomic Indicators
- Top Investment Analysis
- Key Success Factor
- Degree of Competition
Market Dynamics & Outlook
- Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
- Regulatory Landscape
- Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers
- Skyquest Special Insights on Future Disruptions
- Political Impact
- Economic Impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Global GPU As a Service Market by Product
- Market Overview
- Software
- CAD/CAM
- Simulation
- Imaging
- Digital Video
- Modeling & Automation
- Others
- Service
- Managed Service
- Updates & Maintenance
- Compliance & Security
- Others
Global GPU As a Service Market by Service Model
- Market Overview
- SaaS
- PaaS
- IaaS
Global GPU As a Service Market by Delivery Model
- Market Overview
- Public Cloud
- Private Cloud
- Hybrid Cloud
Global GPU As a Service Market Size by Region
- Market Overview
- North America
- USA
- Canada
- Europe
- Germany
- Spain
- France
- UK
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
- Latin America
- Brazil
- Rest of Latin America
- Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA
Competitive Landscape
- Top 5 Player Comparison
- Market Positioning of Key Players, 2021
- Strategies Adopted by Key Market Players
- Top Winning Strategies
- By Development
- By Company
- By Year
- Recent Activities in the Market
- Key Companies Market Share (%), 2021
Key Company Profiles
- NVIDIA (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Amazon Web Services (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Microsoft (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Google Cloud (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- IBM (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Alibaba Cloud (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Tencent Cloud (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Baidu (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- ATOS (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Fujitsu (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Dell EMC (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Penguin Computing (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Nimbix (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- ScaleMatrix (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Paperspace (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- G-Core Labs (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Sheepdog Computing (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Anyscale (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Cerebras Systems (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
- Rescale (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
