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市場調查報告書

商品編碼

1452828

全球 GPU 即服務市場規模、佔有率、成長分析（按產品、服務模式、交付模式） - 2024-2031 年產業預測

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

出版日期: 2024年03月09日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022年全球GPU即服務市場規模達到50億美元，預計將從2023年的 66 億美元成長到2031年的 608.3 億美元，預測期內（2024-2031年）年複合成長率為 32%。

各行業對卓越處理能力的需求不斷成長，推動了全球 GPU 即服務（GPUaaS）市場的快速成長。這款尖端的雲端處理方法讓企業只需為使用的高效能 GPU 付費，即可利用複雜模擬、資料分析和人工智慧（AI）訓練等資源。資源彙整計劃。市場將從改變技術面貌的最新開拓中受益。

GPU 與人工智慧和機器學習（ML）框架的融合是當今使用的趨勢之一。隨著人工智慧的使用變得更加廣泛，越來越多的公司依賴 GPU 來加速訓練和推理步驟。人工智慧和 GPU 的結合為許多領域帶來革命性的變化，包括醫療保健（人工智慧有助於診斷）和金融（GPU 可以加速大型資料集的分析）。混合和多重雲端GPU 實施的增加也是一個值得注意的發展。企業透過在邊緣設備、公共雲端和本地基礎設施之間有意分配工作負載，最大限度地提高資源利用率、減少延遲並提高效能。

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲（MEA）
- 海灣合作理事會國家
- 南非
- 其他中東、非洲地區

競爭形勢

前5名企業對比
主要企業市場定位（2021年）
主要市場參與者所採取的策略
關鍵成功策略
近期市集活動
主要企業市場佔有率（2021年）

主要企業簡介

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）

簡介目錄

Product Code: SQMIG45E2159

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.

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