Market Overview:
GPU cloud computing is a type of cloud computing that uses graphical processing units (GPUs) to provide high-performance parallel computing. GPUs are used to accelerate the process of rendering graphics, gaming and video content. GPU cloud computing allows users to access the power of GPUs remotely, without having to purchase or maintain their own hardware. The global GPU cloud market is expected to grow from USD 1.02 billion in 2018 to USD 3.73 billion by 2030, at a CAGR of 18.5% during the forecast period. The growth of this market can be attributed to the increasing demand for high-performance parallel computing and rising adoption of GPU-accelerated applications across various industries such as machine learning, virtual workstations, high performance compute (HPC), and internet of things (IoT).
Product Definition:
GPU Cloud Computing is a model of cloud computing that uses graphics processing units (GPUs) to provide high-performance parallel computing. GPUs are well-suited for accelerating the performance of certain applications, such as deep learning and data analytics.
CVM:
Central Virtual Machine (CVM) is a software platform that enables multiple virtual machines to run on the same physical hardware. It provides an easier way for enterprises to move their workloads from one physical server to another without affecting the business continuity. CVM also offers benefits such as improved resiliency, faster deployment and development of applications, and better utilization of IT resources.
The global GPU cloud computing market was valued at USD 1,33 billion in 2018.
VPC:
Virtual Private Cloud (VPC) is a type of cloud computing where the customer’s data and applications are hosted on a private cloud operated by an organization, while allowing access to resources from a public or shared cloud. The VPC uses firewalls, network address translation, and virtual machines to provide security for the hosted applications. It also helps in reducing costs related to hardware procurement and management along with infrastructure as well as administration expenses.
Application Insights:
The machine learning segment dominated the market in 2017 and is expected to continue its dominance over the forecast period. The increasing need for data-driven decisions has led to a significant increase in demand for deep learning algorithms across several industries, such as healthcare, financial services, and retail. This trend is expected to drive growth of this segment over the forecast period.
The virtual workstations application segment is also anticipated to witness considerable growth during the same period owing to increased use of cloud computing by enterprises and organizations seeking cost-savings through offloading computational tasks from physical servers onto virtual machines hosted on Amazon EC2 or Google Cloud Platform. The Internet of Things (IoT) application segment accounted for a relatively smaller share in terms of revenue as compared with other applications such as high performance computing or machine learning but with tremendous potential due to rising adoption rates across several industry verticals including automotive, manufacturing etc., which are likelyto drive demand over the coming years.
Regional Analysis:
The market in North America was valued at USD X billion in 2017 and is expected to grow at a significant rate over the forecast period owing to the presence of key players such as Amazon Web Services, Inc.; Google LLC; IBM Corporation; Microsoft Corporation; and NVIDIA Corporation. The increasing adoption of virtualization technologies across various industries has led to an increase in demand for high-performance computing resources, thereby driving regional growth.
Asia Pacific is estimated to be the fastest-growing region over the forecast period owing to factors such as increased adoption of cloud services by small & medium enterprises (SMEs), rapid technological advancements, growing penetration of smartphones & tablets among consumers, and rising demand for consumer electronics products with enhanced processing capabilities from emerging economies including China & India.
Growth Factors:
- Increasing demand for faster and more efficient data processing to meet the needs of businesses and consumers
- Growing popularity of GPU-accelerated applications for accelerating deep learning, data analytics, scientific computing, and other workloads
- Proliferation of high-performance cloud services that can take advantage of GPUs to deliver superior performance
- Advances in GPU technology that are making them better suited for cloud deployments
- Increased focus on artificial intelligence (AI) and machine learning (ML), which are benefiting from the massive parallel processing capabilities offered by GPUs
Scope Of The Report
Report Attributes
Report Details
Report Title
GPU Cloud Computing Market Research Report
By Type
CVM, VPC
By Application
Machine Learning, Virtual Workstations, High Performance Compute, Internet of Things
By Companies
Tencent, LeaderTelecom, Alibaba, Google, NVDIA, Exoscale, XRCLOUD.NET, Genesis Cloud, Lambda, IBM, Amazon
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
196
Number of Tables & Figures
138
Customization Available
Yes, the report can be customized as per your need.
Global GPU Cloud Computing Market Report Segments:
The global GPU Cloud Computing market is segmented on the basis of:
Types
CVM, VPC
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
Machine Learning, Virtual Workstations, High Performance Compute, Internet of Things
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:
- Tencent
- LeaderTelecom
- Alibaba
- Google
- NVDIA
- Exoscale
- XRCLOUD.NET
- Genesis Cloud
- Lambda
- IBM
- Amazon
Highlights of The GPU Cloud Computing 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:
- CVM
- VPC
- By Application:
- Machine Learning
- Virtual Workstations
- High Performance Compute
- Internet of Things
- 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 GPU Cloud Computing 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?
GPU Cloud Computing is a way to use the power of GPUs to accelerate certain tasks in data centers. This can include things like crunching numbers in financial modeling or rendering 3D images.
Some of the major companies in the gpu cloud computing market are Tencent, LeaderTelecom, Alibaba, Google, NVDIA, Exoscale, XRCLOUD.NET, Genesis Cloud, Lambda, IBM, Amazon.
The gpu cloud computing market is expected to grow at a compound annual growth rate of 18.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 GPU Cloud Computing 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 GPU Cloud Computing Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 GPU Cloud Computing 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 GPU Cloud Computing 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 GPU Cloud Computing Market Size & Forecast, 2020-2028
4.5.1 GPU Cloud Computing Market Size and Y-o-Y Growth
4.5.2 GPU Cloud Computing Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 CVM
5.2.2 VPC
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Machine Learning
6.2.2 Virtual Workstations
6.2.3 High Performance Compute
6.2.4 Internet of Things
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global GPU Cloud Computing 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 GPU Cloud Computing 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 CVM
9.6.2 VPC
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 Market Size Forecast by Applications
9.10.1 Machine Learning
9.10.2 Virtual Workstations
9.10.3 High Performance Compute
9.10.4 Internet of Things
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 CVM
10.6.2 VPC
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 Market Size Forecast by Applications
10.10.1 Machine Learning
10.10.2 Virtual Workstations
10.10.3 High Performance Compute
10.10.4 Internet of Things
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 CVM
11.6.2 VPC
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 Market Size Forecast by Applications
11.10.1 Machine Learning
11.10.2 Virtual Workstations
11.10.3 High Performance Compute
11.10.4 Internet of Things
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 CVM
12.6.2 VPC
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 Market Size Forecast by Applications
12.10.1 Machine Learning
12.10.2 Virtual Workstations
12.10.3 High Performance Compute
12.10.4 Internet of Things
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 CVM
13.6.2 VPC
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) Market Size Forecast by Applications
13.10.1 Machine Learning
13.10.2 Virtual Workstations
13.10.3 High Performance Compute
13.10.4 Internet of Things
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 GPU Cloud Computing Market: Competitive Dashboard
14.2 Global GPU Cloud Computing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Tencent
14.3.2 LeaderTelecom
14.3.3 Alibaba
14.3.4 Google
14.3.5 NVDIA
14.3.6 Exoscale
14.3.7 XRCLOUD.NET
14.3.8 Genesis Cloud
14.3.9 Lambda
14.3.10 IBM
14.3.11 Amazon
