The global GPU as a Service market size is expected to be valued at US$ 3,911.4 million in 2023. With the increase in the number of applications, coupled with increasing demand for IIoT, the overall demand for GPU as a Service is projected to grow at a CAGR of 40.8% between 2023 and 2033, totaling around US$ 119,643.4 million by 2032.
| Data Points | Key Statistics |
|---|---|
| GPU as a Service Market Value 2023 | US$ 3,911.4 million |
| GPU as a Service Market Projected Value (2033) | US$ 119,643.4 million |
| GPU as a Service Industry CAGR (2023 to 2033) | 40.8% |
GPU as a service assists in providing better images, such as seamless motion, optical effects, and intricate shapes at a robust pace.
An increase in the need for multi-GPU servers and GPU server clusters with network interconnects is one of the major factors that is expected to escalate the growth of the GPU as a Service industry over the analysis period. On the contrary, the lack of knowledge among the employees of industries and the complex behavior of the GPU as a Service is expected to hinder the growth of the GPU as a Service industry during the forecast period.
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Increase in Number of Applications to Propel the Market Growth
The increasing popularity of GPU high-performance computing, self-driven cars, and other high-end AI applications is one of the major factors expected to accelerate the GPU as a Service industry growth during the forecast period. With the rising uptake of cloud computing, GPUs are being deployed with server CPUs to accelerate applications and improve performance. Customization and operational characteristics of the GPUaaS have created growth opportunities.
GPUaaS applications benefit from scaling to multi-GPU servers and then to GPU server clusters with network interconnects, thus augmenting the market statistics. In addition, a growing number of use cases on hardware, which include deep learning, speech recognition, natural language processing, data mining, and real-time information, are expected to fuel the market growth in the forthcoming years.
The increase in the number of applications and use cases on hardware, which includes deep learning, speech recognition, natural language processing, data mining, and real-time information, majorly drive the growth of the GPU as a Service industry. In addition, the adoption of integrated GPU used in desktops, workstations, and notebooks, attributed to the growing need for enhanced visual content by consumers, is anticipated to provide major opportunities for GPU as a Service industry growth.
Increasing Demand for IIoT to Drive the Market Growth
The growing acceptance of the Industrial Internet of Things (IIoT) in different sectors, such as manufacturing, automotive, consumer goods and others, is proliferating the trends of the GPUaaS industry and is expected to accelerate the growth of the GPU as a service industry over the analysis period.
The increasing demand for cloud-based applications, such as graphic designing, image processing, and 3D visualization, among others, is another factor expected to augment the growth of the GPU as a service during the forecast period. Industry participants offer assistance with the help of SaaS, PaaS & IaaS models for designing and developing advanced & innovative products. Additionally, supportive government initiatives for smart city development and accelerating digitalization across nations are providing significant growth opportunities for market growth.
High Incurrence of Cost and Lack of Awareness to Impede the Market Growth
A few factors are acting as roadblocks to the growth of GPU as a Service industry. One of the factors includes the high incurrence of costs, which is projected to hinder market growth.
Moreover, the need for more awareness of technologically advanced methods and their misunderstanding of the advantages of GPU as a Service are other factors limiting the market growth over the forecast period.
The lack of knowledge among the employees of industries and complex behavior of the GPU as a Service is another factor that is anticipated to hinder the growth of the GPU as a Service industry.
Principal Consultant
The global demand for GPU as a service is projected to increase at a CAGR of 40.8% in the next ten years, reaching a total of US$ 119,643.4 million in 2033, according to a report from FMI. From 2018 to 2022, sales observed significant growth, registering a CAGR of 38.7%.
Surging adoption of AI across different verticals like BFSI, healthcare, and others, is considered one of the emerging trends. Major players across the GPU as a Service industry are integrating AI technology with the cloud to assist users in managing work by offering advanced security services.
The progress of big data diagnostics techniques, combined with cloud services and AI across the healthcare system, is propelling the demand for GPU as a Service. Integrating AI in GPU as a Service helps the organization improve graphics management, security, and overall productivity.
| Historical CAGR % (2018 to 2022) | 38.7% |
|---|---|
| Forecast CAGR % (2023 to 2033) | 40.8% |
Adoption of Advanced Technologies Like IoT and AI in the Region to Propel the Industry Growth
| Region | North America |
|---|---|
| Market Share % (2022) | 32.4% |
North America is slated to capture a significant chunk of the GPU as a service industry growth, flourishing at a 38% CAGR until 2033. North America is one of the earliest adopters of technologies, and the region is highly inclined toward integrating AI, IoT & robotics technologies into the manufacturing sector. Industry participants in the region are developing advanced technology products, such as IoT devices, AI chipsets, and industrial robots, with design & simulation using GPU technology, thus stimulating the regional market progress.
The GPU as a service industry demand from the public delivery model segment in the United States is estimated to register gains of nearly 25% through 2033. Growth is driven by the wide gamut of functions the public cloud model offers, ranging from basic storage, processing, and networking capabilities to artificial intelligence, Natural Language Processing (NLP), and standard office applications. The next-generation industrial solutions are focused on adopting GPU cloud-based technology to support their digital business solutions, buoying the GPUaaS public cloud market expansion.
High Traction in Gaming Applications to Fuel the Market Growth
The GPU as a Service market in the Asia Pacific is expected to capture a market share of 33.5% by 2033. The Asia Pacific is a robustly flourishing region in the GPU as a Service industry, attributed to countries such as Japan heading high in the gaming arena.
In Japan, the gaming application segment held a substantial market share in 2022. GPUaaS in Japan is gaining high traction in gaming applications owing to its capability to calculate vast information in a shorter duration, thereby enhancing gaming performance. GPUaaS platforms offer unmatched server uptime stability and amazing visual effects for gamers.
Rising Growth of Software Segment to Reaffirm Growth in Europe
| Region | Europe |
|---|---|
| Market Share % (2022) | 25.1% |
The GPU as a Service industry in Europe is projected to capture a market share of more than 25.1% in 2023, owing to the increasing software segment in the countries such as the United Kingdom and Germany.
The CAD/CAM software segment in the United Kingdom is poised to generate more than US$ 700 million in revenue by 2033. The high demand for hardware performance among professional users (such as engineers and CAD designers) compared to gamers and general consumers is propelling the usage of GPUaaS across the CAD/CAM industry.
In Germany, the SaaS service model segment is likely to account for about 45% of the GPU as a service industry by 2033, impelled by the large-scale adoption of cloud-based GPU computing solutions by end-users. The usage of the SaaS model in the cloud computing market is also fueled by increased demand for Customer Relationship Management (CRM) software. SaaS has become a feasible choice for small & medium businesses with limited financial resources credited to low subscription prices and hardware flexibility.
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Simulation Segment of GPU as a Service to Beat Competition in Untiring Markets
The simulation segment is projected to grow at around 39.3% CAGR over the analysis timeline, attributed to the surging adoption of advanced technologies such as augmented reality, 3D printing services, and virtual reality. In 2022, the digital video segment accounted for a market share of about 7.97%. The segment is slated to witness optimistic expansion through 2033.
Digital video enables the real-time acquisition, processing, and delivery of high-resolution videos in different video broadcast environments, which is likely to boost segmental growth in the coming years.
Updates and Maintenance to Constitute the Bulk of the GPU as a Service Market
By service, the updates and maintenance segment of the GPU as a service industry is expected to hold a market share of nearly 25% in 2023 and is speculated to showcase a solid growth trajectory during the forecast period. Companies operating in the GPUaaS market focus on regularly updating their product offerings with the latest improvements, which is anticipated to boost the growth of the GPU as a Service over the analysis period.
Real-Estate constitutes the Bulk of the Market
By application, the real-estate segment is poised to witness substantial growth at more than 36.1% CAGR during the analysis period, owing to the advent of new technologies in the real-estate sector, such as drones and augmented reality.
Providers of GPU as a Service such as Graphistry, Polystream, Cloudalize, Vectordash, HashPro, Run: AI, and MapD, among others, are employing marketing strategies like new product launches, merger and acquisitions, geographical expansions, collaboration, and partnerships. By doing so, the companies are expected to identify what piques consumer interest and create a larger customer base. For example,
In July 2022, Run:ai, the well-funded service for orchestrating AI workloads, partnered with NVIDIA, to support its customers in running their inferencing workloads as efficiently as possible, whether that’s in a private or public cloud or on the edge. With this partnership, the company’s platform also integrates with Nvidia’s Triton Inference Server software.
Prominent players in the GPU as a Service industry are IBM Corporation, Microsoft Corporation, Nvidia Corporation, Intel Corporation, Qualcomm Incorporated, Fujitsu Ltd., ARM Holdings PLC, Samsung Electronics Co., Ltd., Taiwan Semiconductor Manufacturing Company Ltd., and Imagination Technologies Ltd., among others.
Recent Developments:
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 40.8% from 2023 to 2033 |
| Market Value in 2023 | US$ 3,911.4 million |
| Market Value in 2033 | US$ 119,643.4 million |
| Base Year for Estimation | 2022 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ million and CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered |
|
| Regions Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
The GPU as a service market is worth US$ 3,911.4 million in 2023.
The GPU as a service market is expected to rise at a 40.8% CAGR through 2033.
The market is estimated to be worth US$ 119,643.4 million by 2033.
The real-estate segment is leading, with a 36.1% CAGR in the GPU as a service market.
Germany’s SaaS service model segment may account for about 45% of the market by 2033.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product, 2023 to 2033
5.3.1. Service Software
5.3.1.1. CAD/CAM
5.3.1.2. Simulation
5.3.1.3. Imaging
5.3.1.4. Digital Video
5.3.1.5. Modeling & Automation
5.3.1.6. Others
5.3.2. Service
5.3.2.1. Managed Service
5.3.2.2. Updates & Maintenance
5.3.2.3. Compliance & Security
5.3.2.4. Others
5.4. Y-o-Y Growth Trend Analysis By Product, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Product, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Service Model
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Service Model, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Service Model, 2023 to 2033
6.3.1. SaaS
6.3.2. PaaS
6.3.3. IaaS
6.4. Y-o-Y Growth Trend Analysis By Service Model, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Service Model, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Delivery Model
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Delivery Model , 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Delivery Model , 2023 to 2033
7.3.1. Public
7.3.2. Private
7.3.3. Hybrid
7.4. Y-o-Y Growth Trend Analysis By Delivery Model , 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Delivery Model , 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
8.3.1. Gaming
8.3.2. Design & Manufacturing
8.3.3. Automotive
8.3.4. Real Estate
8.3.5. Healthcare
8.3.6. Others
8.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
9.3.1. North America
9.3.2. Latin America
9.3.3. Western Europe
9.3.4. Eastern Europe
9.3.5. South Asia and Pacific
9.3.6. East Asia
9.3.7. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. U.S.
10.2.1.2. Canada
10.2.2. By Product
10.2.3. By Service Model
10.2.4. By Delivery Model
10.2.5. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product
10.3.3. By Service Model
10.3.4. By Delivery Model
10.3.5. By Application
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Product
11.2.3. By Service Model
11.2.4. By Delivery Model
11.2.5. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product
11.3.3. By Service Model
11.3.4. By Delivery Model
11.3.5. By Application
11.4. Key Takeaways
12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. U.K.
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Western Europe
12.2.2. By Product
12.2.3. By Service Model
12.2.4. By Delivery Model
12.2.5. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product
12.3.3. By Service Model
12.3.4. By Delivery Model
12.3.5. By Application
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Poland
13.2.1.2. Russia
13.2.1.3. Czech Republic
13.2.1.4. Romania
13.2.1.5. Rest of Eastern Europe
13.2.2. By Product
13.2.3. By Service Model
13.2.4. By Delivery Model
13.2.5. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product
13.3.3. By Service Model
13.3.4. By Delivery Model
13.3.5. By Application
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Bangladesh
14.2.1.3. Australia
14.2.1.4. New Zealand
14.2.1.5. Rest of South Asia and Pacific
14.2.2. By Product
14.2.3. By Service Model
14.2.4. By Delivery Model
14.2.5. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product
14.3.3. By Service Model
14.3.4. By Delivery Model
14.3.5. By Application
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Product
15.2.3. By Service Model
15.2.4. By Delivery Model
15.2.5. By Application
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Product
15.3.3. By Service Model
15.3.4. By Delivery Model
15.3.5. By Application
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Product
16.2.3. By Service Model
16.2.4. By Delivery Model
16.2.5. By Application
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Product
16.3.3. By Service Model
16.3.4. By Delivery Model
16.3.5. By Application
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. U.S.
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Product
17.1.2.2. By Service Model
17.1.2.3. By Delivery Model
17.1.2.4. By Application
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Product
17.2.2.2. By Service Model
17.2.2.3. By Delivery Model
17.2.2.4. By Application
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Product
17.3.2.2. By Service Model
17.3.2.3. By Delivery Model
17.3.2.4. By Application
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Product
17.4.2.2. By Service Model
17.4.2.3. By Delivery Model
17.4.2.4. By Application
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Product
17.5.2.2. By Service Model
17.5.2.3. By Delivery Model
17.5.2.4. By Application
17.6. U.K.
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Product
17.6.2.2. By Service Model
17.6.2.3. By Delivery Model
17.6.2.4. By Application
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Product
17.7.2.2. By Service Model
17.7.2.3. By Delivery Model
17.7.2.4. By Application
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Product
17.8.2.2. By Service Model
17.8.2.3. By Delivery Model
17.8.2.4. By Application
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Product
17.9.2.2. By Service Model
17.9.2.3. By Delivery Model
17.9.2.4. By Application
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Product
17.10.2.2. By Service Model
17.10.2.3. By Delivery Model
17.10.2.4. By Application
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Product
17.11.2.2. By Service Model
17.11.2.3. By Delivery Model
17.11.2.4. By Application
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Product
17.12.2.2. By Service Model
17.12.2.3. By Delivery Model
17.12.2.4. By Application
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Product
17.13.2.2. By Service Model
17.13.2.3. By Delivery Model
17.13.2.4. By Application
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Product
17.14.2.2. By Service Model
17.14.2.3. By Delivery Model
17.14.2.4. By Application
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Product
17.15.2.2. By Service Model
17.15.2.3. By Delivery Model
17.15.2.4. By Application
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Product
17.16.2.2. By Service Model
17.16.2.3. By Delivery Model
17.16.2.4. By Application
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Product
17.17.2.2. By Service Model
17.17.2.3. By Delivery Model
17.17.2.4. By Application
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Product
17.18.2.2. By Service Model
17.18.2.3. By Delivery Model
17.18.2.4. By Application
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Product
17.19.2.2. By Service Model
17.19.2.3. By Delivery Model
17.19.2.4. By Application
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Product
17.20.2.2. By Service Model
17.20.2.3. By Delivery Model
17.20.2.4. By Application
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Product
17.21.2.2. By Service Model
17.21.2.3. By Delivery Model
17.21.2.4. By Application
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2022
17.22.2.1. By Product
17.22.2.2. By Service Model
17.22.2.3. By Delivery Model
17.22.2.4. By Application
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2022
17.23.2.1. By Product
17.23.2.2. By Service Model
17.23.2.3. By Delivery Model
17.23.2.4. By Application
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Product
18.3.3. By Service Model
18.3.4. By Delivery Model
18.3.5. By Application
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. IBM Corporation
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Microsoft Corporation
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. NVIDIA Corporation
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Intel Corporation
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Qualcomm Incorporated
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Fujitsu Ltd.
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. ARM Holdings PLC
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. Samsung Electronics Co., Ltd.
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. Taiwan Semiconductor Manufacturing Company Ltd.
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Imagination Technologies Ltd.
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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GPU as a Service Market
