GPU as a Service (GPUaaS) Market Analysis And Forecast To 2031: By Component (Software, Services), By Delivery Model (Public Cloud, Private Cloud, Hybrid Cloud), By Application (Gaming, Automotive, Real Estate, Healthcare , Others), And Region

GPU as a Service (GPUaaS) Market Analysis And Forecast To 2031: By Component (Software, Services), By Delivery Model (Public Cloud, Private Cloud, Hybrid Cloud), By Application (Gaming, Automotive, Real Estate, Healthcare , Others), And Region

The global GPU as a Service (GPUaaS) Market was valued at USD 2.3 billion in 2021 and it is anticipated to grow up to USD 28.9 billion by 2031, at a CAGR of 28.8% during the forecast period.

GPU as a Service (GPUaaS) is a type of cloud computing service that offers users access to a remote graphics processing unit (GPU). This type of service is typically used by businesses and organizations that require high-performance graphics processing for tasks such as 3D rendering, video encoding, and gaming. GPUaaS providers typically offer two types of services: on-demand and subscription. On-demand services allow users to pay for GPU time on an hourly basis, while subscription services offer access to a GPU for a set period of time, usually on a monthly or yearly basis.
Global GPU as a Service (GPUaaS) Market Scope and Report Structure

Market Trends and Drivers
Rising demand from cryptocurrency miners

Growing crypto mining across various regions will enhance the business expansion. The expanding real estate sector creates the need for 3D rendering & architectural design services. 3D animated designs of the infrastructure to attract investors and customers are one of the major factors boosting GPUaaS market growth. Furthermore, the increasing need for environmental modeling, molecular, and biotechnological analysis using data analysis & predictive analysis is also supporting the industry expansion.
Market Restraints and Challenges
GPU as a Service (GPUaaS) is a cloud-based service that provides access to GPUs for computation and rendering purposes. It is a relatively new service and as such, there are a few key restraints and challenges that need to be considered. The first challenge is the cost ofGPUs. GPUs are still relatively expensive compared to other types of computing hardware and this can make GPUaaS quite costly. Additionally, the cost of electricity to run the GPUs also needs to be considered. Another challenge is the availability of GPUs. Due to their high cost, GPUs are still quite rare and this can limit the availability of GPUaaS. Finally, the biggest challenge is the lack of standardization. There is no one standard way to provide GPUaaS and this can make it difficult to find a provider that offers the service in the way that consumer need it.
Global GPU as a Service (GPUaaS) Market Segmental Overview
The report analyses the global GPU as a Service (GPUaaS) Market based on component, delivery model, application, and region.

Global GPU as a Service (GPUaaS) Market by Component

Based on component, it is segmented into services, and software. Among these, the software segment is estimated to account for a substantial share in the GPU as a Service (GPUaaS) Market through 2031 impelled by rising demand for image processing algorithms across various industry verticals, especially in the healthcare sector. GPUaaS technology provides quality and performance for medical & diagnostic imaging systems that provide high image quality to support medical professionals in making timely & precise diagnostic tests..

Global GPU as a Service (GPUaaS) Market by Delivery Model

Based on the delivery model, the GPU as a Service (GPUaaS) Market is segmented into Public Cloud, Private Cloud, and Hybrid Cloud. The hybrid GPUaaS delivery model segment is set to register significant growth rate through 2031. This model combines the on-premise GPU infrastructure (private cloud) with the public cloud, offering users the advantages of both the delivery models. Organizations including Intel, AMD, and NVIDIA, deliver GPU-enabled computational systems to scale data-intensive computation. Customers can choose to maintain some of the systems and data in-house while benefiting from external services through the hybrid cloud.

Global GPU as a Service (GPUaaS) Market by Application

With regards to application, the GPU as a Service (GPUaaS) Market is divided into Gaming, Automotive, Real Estate, Healthcare, and Others. The automotive application accounted for more than 20% of the revenue share in 2021. The increasing development in autonomous technology will increase the demand for GPUaaS in computer vision & pattern recognition, signal processing, infotainment graphics, and vehicle networking applications. This has positively influenced the market players to develop new GPU offerings for automotive applications.
Geographical Analysis of Global GPU as a Service (GPUaaS) Market
Region-wise, it is studied across North America, Europe, Asia Pacific, and the Rest of the World. North America GPU as a Service (GPUaaS) Market revenue is poised to grow significant CAGR during the forthcoming years. North America is one of the earliest adopters of technologies and the region is highly inclined toward the integration of 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.
Major Players in the Global GPU as a Service (GPUaaS) Market
The key players in the GPU as a Service (GPUaaS) Market  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.
COVID-19 Impact
The operational interruptions in the electronics industry due to the Covid-19 pandemic have affected GPU production activities. During the coronavirus pandemic, the supply chain and distribution channels have been affected, which in turn, influenced the industries dependent upon GPU components. Nevertheless, the increase in demand for animation-based games such as FIFA and the need for speed, and the growth in the adoption of virtual reality headsets are anticipated to provide immense opportunities for the graphics processing unit market in the coming years.
Recent Developments

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 in a private or public cloud, or on the edge. With this partnership, the company’s platform now also offers an integration with Nvidia’s Triton Inference Server software.
In July 2022, NVIDIA announced the update to NeMo, decreasing the training time by 30%. These updates come with two trailblazing technologies and a hyperparameter tool that optimizes and scales the training data that can be used with any number of GPU training, and deploying the model becomes much more accessible and significantly faster. LLMs like BLOOM and MT-LNG are also trained and deployed on NVIDIA’s AI platform, LLMs have become one of the world’s most important technologies that involve investing vast amounts of time and money, and a well-planned architecture along with highly technical expertise is required to make the technology as successful as LLMs are.
In April 2019, Qualcomm Incorporated announced the launch of Snapdragon 730, which is a mid-range 64-bit ARM LTE system on a chip. Fabricated on Samsung's 8nm LPP process, the 730 features six Kryo 470 Silver high-efficiency cores operating at 1.8 GHz along with two high-performance Kryo 470 Gold operating at 2.2 GHz. The Snapdragon 730 integrates the Adreno 618 GPU operation at 500 MHz and features an X15 LTE modem supporting Cat 13 uplink and Cat 15 downlink. This chip supports up to 8 GiB of dual-channel LPDDR4X-3733 memory.

Frequently Asked Questions
Q1. How big is the GPU as a Service (GPUaaS) market?

Ans. The global GPU as a Service (GPUaaS) Market was valued at USD 2.3 billion in 2021 and it is anticipated to grow up to USD 7.0 billion by 2031, at a CAGR of 11.8% during the forecast period.

Q2. What is the GPU as a Service (GPUaaS) Market growth rate?

Ans. The growth rate of the GPU as a Service (GPUaaS) Market is 11.8%.

Q3. Which region holds a major market share for the market?

Ans. North America holds a major market share of the GPU as a Service (GPUaaS) Market in 2021.

Q4. Which segment accounted for the largest GPU as a Service (GPUaaS) Market share?

Ans. By application, the automotive segment accounted for the largest GPU as a Service (GPUaaS) Market share.

Q5. Who are the key players in the GPU as a Service (GPUaaS) market?

Ans. The global GPU as a Service (GPUaaS) Market report includes players such as   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.

Q6. What are the factors driving the GPU as a Service (GPUaaS) Market growth?

Ans. The major factors driving the growth of the market are growing adoption of portable computing devices such as laptops.

Q7. What are the key growth strategies of GPU as a Service (GPUaaS) Market players?

Ans. The key growth strategies of GPU as a Service (GPUaaS) Market players are product launch and product approval.

Q8. Which region will provide more business opportunities for the GPU as a Service (GPUaaS) Market during the forecast period?

Ans. The Asia-Pacific region will provide more business opportunities for the GPU as a Service (GPUaaS) Market during the forecast period.

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