Market Overview:
The global elastic GPU market is expected to grow at a CAGR of XX% and reach a market size of US$XX million by 2030. The elastic GPU market is segmented on the basis of type, application, and region. On the basis of type, the elastic GPU market is segmented into public cloud, private cloud, and hybrid cloud. On the basis of application, the elastic GPU market is segmented into large enterprises and SMEs. The North America region dominates the global Elastic GPU Market in terms with revenue share followed by Europe in 2018.
Product Definition:
An elastic GPU is a virtualized graphics processing unit that can be shared among multiple users and assigned on the fly to any server or desktop in a data center. Elastic GPUs provide an easy, fast, and cost-effective way to give each user their own graphics acceleration for demanding applications such as 3D rendering, video editing, and CAD/CAM.
Public Cloud:
Public cloud is a group of remote computing services that provide shared resources and are operated by third-party vendors. The term “public cloud” has been used for decades, but with recent technological advancements, it has become more accurate to refer to the set of services provided as a combination of Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS).
Private Cloud:
Elastic GPU (EGPU) is a technology that allows Graphics Processing Unit (GPU) to be attached to an on-premise server or cloud server and used by any application. The major advantage of using EGCU is that the user does not need to purchase a separate physical card for each workload; instead, he/she can use one physical card for all workloads.
Application Insights:
The large enterprises segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The large enterprise segment comprises of companies with more than 500 employees. These companies need high-performance computing capabilities that can deliver superior performance compared to traditional computers. This has led to an increased demand for GPUs within this sector, which is anticipated to drive the global elastic GPU market growth over the forecast period.
The SMEs or small and medium-sized businesses segments are estimated to witness significant growth in future owing to their growing adoption of cloud services across various applications such as image processing, data analytics, machine learning and scientific simulations among others. Elastic GPUs provide a cost-effective solution for these SMEs as they offer on-demand computing resources thereby driving its adoption among these smaller businesses/ startups at a rapid pace across all regions including North America, Europe, Asia Pacific and Middle East & Africa.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period owing to the presence of major players such as NVIDIA Corporation; Hewlett Packard Enterprise, LLC; and Google Inc. In addition, growing demand for high performance computing by various industries such as oil & gas, pharmaceuticals, and academic has led to an increase in GPU-based cloud instances. The regional market is expected to be driven by advancements in technologies such as Artificial Intelligence (AI), Virtual Reality (VR), Automotive Designing Software etc., which will lead towards increased adoption of elastic GPUs.
Asia Pacific region accounted for more than 30% share of global revenue in 2017 owing with China being one of the largest markets for commercial computer hardware products. Countries like Japan and South Korea are also contributing significantly towards growth due to increasing number of data centers located there that makes it a key contributor across large parts of Asia Pacific region including India and Australia).
Growth Factors:
- Increasing demand for elastic GPUs from the gaming industry as they provide a better gaming experience with improved graphics and faster frame rates.
- Growing demand for elastic GPUs in the field of machine learning and artificial intelligence to speed up the training process of deep neural networks.
- Proliferation of cloud-based services and increasing demand for on-demand GPU instances from businesses to accelerate their workloads.
- Development of new applications that require high compute power such as autonomous vehicles, medical imaging, and video rendering etc..
Scope Of The Report
Report Attributes
Report Details
Report Title
Elastic GPU Market Research Report
By Type
Public Cloud, Private Cloud, Hybride Cloud
By Application
Large Enterprises, SMEs
By Companies
Amazon, Alibaba, CMC Cloud, Run:AI, Vultr, Google, Tencent, Linode, Oracle, Huawei
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
239
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Elastic GPU Market Report Segments:
The global Elastic GPU market is segmented on the basis of:
Types
Public Cloud, Private Cloud, Hybride Cloud
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Amazon
- Alibaba
- CMC Cloud
- Run:AI
- Vultr
- Google
- Tencent
- Linode
- Oracle
- Huawei
Highlights of The Elastic GPU Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Public Cloud
- Private Cloud
- Hybride Cloud
- By Application:
- Large Enterprises
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Elastic GPU Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Elastic GPU is a term used to describe the ability of a graphics processing unit (GPU) to dynamically allocate resources as needed. This allows for greater performance when running certain types of workloads, such as machine learning or deep learning.
Some of the major companies in the elastic gpu market are Amazon, Alibaba, CMC Cloud, Run:AI, Vultr, Google, Tencent, Linode, Oracle, Huawei.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Elastic GPU Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Elastic GPU Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Elastic GPU Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Elastic GPU Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Elastic GPU Market Size & Forecast, 2018-2028
4.5.1 Elastic GPU Market Size and Y-o-Y Growth
4.5.2 Elastic GPU Market Absolute $ Opportunity
Chapter 5 Global Elastic GPU Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Elastic GPU Market Size Forecast by Type
5.2.1 Public Cloud
5.2.2 Private Cloud
5.2.3 Hybride Cloud
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Elastic GPU Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Elastic GPU Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Elastic GPU Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Elastic GPU Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Elastic GPU Analysis and Forecast
9.1 Introduction
9.2 North America Elastic GPU Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Elastic GPU Market Size Forecast by Type
9.6.1 Public Cloud
9.6.2 Private Cloud
9.6.3 Hybride Cloud
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Elastic GPU Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Elastic GPU Analysis and Forecast
10.1 Introduction
10.2 Europe Elastic GPU Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Elastic GPU Market Size Forecast by Type
10.6.1 Public Cloud
10.6.2 Private Cloud
10.6.3 Hybride Cloud
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Elastic GPU Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Elastic GPU Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Elastic GPU Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Elastic GPU Market Size Forecast by Type
11.6.1 Public Cloud
11.6.2 Private Cloud
11.6.3 Hybride Cloud
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Elastic GPU Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Elastic GPU Analysis and Forecast
12.1 Introduction
12.2 Latin America Elastic GPU Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Elastic GPU Market Size Forecast by Type
12.6.1 Public Cloud
12.6.2 Private Cloud
12.6.3 Hybride Cloud
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Elastic GPU Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Elastic GPU Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Elastic GPU Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Elastic GPU Market Size Forecast by Type
13.6.1 Public Cloud
13.6.2 Private Cloud
13.6.3 Hybride Cloud
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Elastic GPU Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Elastic GPU Market: Competitive Dashboard
14.2 Global Elastic GPU Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Amazon
14.3.2 Alibaba
14.3.3 CMC Cloud
14.3.4 Run:AI
14.3.5 Vultr
14.3.6 Google
14.3.7 Tencent
14.3.8 Linode
14.3.9 Oracle
14.3.10 Huawei
