Global Graphic Processing Unit (GPU) industry size expected to worth of over USD 103.60 billion by 2026 and the market is anticipated to develop at a CAGR of 30% during the year 2018 to 2026.
The GPU market is required to observe a quickened development from 2018 to 2024 because of an expansion in the selection of GPUs for superior processing applications in sectors including real-estate, automotive, healthcare, and design & manufacturing. The healthcare part is relied upon to observe an expansion in the take-up of GPU solutions because of the rising need for real-time analytics for refining decision-making process. GPUs are generally utilized in medicinal imaging to quicken information preparing and the picture rendering process. With the adoption of AI in healthcare, the demand for GPUs to trigger complex numerical tasks dependent on profound learning calculations will increment. Another factor driving business sector development is the expanding infiltration of cell phones, tablets, and consoles for gaming reason. As gaming applications are illustrations concentrated, they require propelled realistic processors to unravel complex network estimations and 3D image rendering. This will fuel the demand for GPUs to acquire high realistic rendering execution and to convey a charming background to clients. The rising prevalence of Virtual Reality (VR) in gaming will likewise drive the requirement for next-generation graphic processors to help figuring serious VR applications.
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The global GPU market is segmented into component, deployment model, application and region.On the basis component, the global GPU market is segmented into hardware, software and service. Software is further segmented into CAD/CAM, simulation, imaging, digital video, modelling and animation, and others. Service is further segmented into training & consulting, integration & maintenance and managed service. Hardware segment is further segmented into GPU type (integrated, hybrid and dedicated) and device type (computer, tablet, gaming console and television). On the basis deployment model, the global GPU market is segmented into on-premise and cloud. On the basis application, the global GPU market is segmented into gaming, design and manufacturing, healthcare, automobile, real-estate, and others. On the basis of region the global GPU market is bifurcated into Europe, Latin America, North America, Middle East & Africa, and Asia Pacific.
The cloud deployment segment is relied upon to develop at a CAGR of over 40% in the GPU market. The demand for cloud-based models will increment because of developing needs among associations to oversee immense data sets guaranteeing superior and decreased expenses. GPU-based cloud stages give high dependability and guarantee bring down support when contrasted with on-start GPU organization. An expansion in the take-up of cloud models will quicken the demand for GPUs in the cloud to deliver high performance.
The automotive GPU market will observer the most noteworthy development rate of over 35% from 2018 to 2024 because of an expansion in the utilization of GPUs to quicken plan and designing applications. As the business is concentrating on growing new vehicles with enhanced plan and usefulness, GPUs are broadly utilized in CAD/CAM programming to trigger the analysis of complex informational indexes and the use of questions to structure new models and examples. As the demand for this product will expand, the realistic handling unit (GPU) market is relied upon to observe a surge over the forecast time frame.
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The Asia Pacific GPU market held a prevailing piece of the pie of over 30% in 2017. The demand for GPUs is relied upon to ascend in the region because of quick development of the gaming business in nations including China, Japan, and India. As indicated by the Netherlands Enterprise Agency Report, the gaming business in Japan is the third biggest on the planet and created an all-out income of around USD 12.5 billion out of 2017. Developing advancements, for example, AR and VR, and the rising pattern of freemium diversions, will encourage the selection of GPUs to convey a superior gaming knowledge. Besides, an expansion being used of AI for brining development areas, for example, social insurance and assembling, will likewise goad the demand for GPUs. Artificial intelligence applications include the utilization of profound learning calculations to prepare neural systems. In this manner, to accelerate the complex computational process and to discover important bits of knowledge, frameworks require GPU-accelerated computers.
Few of the significant companies associated with the global GPU market are S3 Graphics, Advanced Micro Devices (AMD), Siemens AG, Autodesk, ScaleMatrix, Amazon Web Services, Qualcomm, Cogeco Communications, PTC, Dassault Systems, Penguin Computing, Google, Nimbix, IBM, NVIDIA, Intel, and Microsoft.
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