The automotive industry has adopted GPUs for advanced driver-assistance systems (ADAS) and autonomous vehicles. GPUs process data from various sensors, enabling vehicles to make real-time decisions and navigate safely. As the prevalence of autonomous vehicles rises, the demand for GPUs in this industry is anticipated to increase. GPUs are widely adopted in scientific and research computing for tasks like simulations, modeling, and data analysis. Researchers and scientists across physics, chemistry, and biology use GPUs to accelerate complex calculations.
GPUs are indispensable for content creators, including video editors, 3D artists, and graphic designers. They enable real-time rendering and smooth editing workflows. The demand for high-quality content, especially in the entertainment and advertising industries, has led to increased GPU adoption. The deployment of AI at the edge, in devices like smartphones, cameras, and IoT devices, often relies on GPUs for the local processing of AI algorithms. GPUs with ray tracing capabilities are increasingly adopted for rendering lifelike visuals. VR and AR applications require powerful GPUs to deliver immersive experiences. Both consumer and enterprise applications drive the adoption of GPUs in this space.
The adoption of GPUs is closely tied to technological advancements, the need for faster and more efficient computation, and the emergence of new applications in various industries. As GPUs evolve and become more capable, their adoption is expected to grow across multiple sectors. GPUs are essential for processing the data from sensors in autonomous vehicles, enabling real-time decision-making. As a result of the increasing media & entertainment and healthcare industry across the LAMEA region, the graphic processor market is estimated to grow.
The Brazil market dominated the LAMEA Graphic Processor Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $6,412 million by 2030. The Argentina market is showcasing a CAGR of 31.4% during (2023 - 2030). Additionally, The UAE market would register a CAGR of 30.3% during (2023 - 2030).
Based on Deployment, the market is segmented into Cloud, and On-premise. Based on Component, the market is segmented into Hardware, Software, and Services. Based on Application, the market is segmented into Consumer Electronics, IT & Telecommunication, Healthcare, Media & Entertainment, and Others. Based on Type, the market is segmented into Integrated, Dedicated, and Hybrid. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, Advanced Micro Devices, Inc., Samsung Electronics Co., Ltd. (Samsung Group), Intel Corporation, Qualcomm Incorporated (Qualcomm Technologies, Inc.), Imagination Technologies Limited, Matrox Electronic Systems Ltd, IBM Corporation, Sony Corporation and VIA Technologies, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Deployment- Cloud
- On-premise
- Hardware
- Software
- Services
- Consumer Electronics
- IT & Telecommunication
- Healthcare
- Media & Entertainment
- Integrated
- Dedicated
- Hybrid
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- NVIDIA Corporation
- Advanced Micro Devices, Inc.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Imagination Technologies Limited
- Matrox Electronic Systems Ltd
- IBM Corporation
- Sony Corporation
- VIA Technologies, Inc
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Companies Mentioned
- NVIDIA Corporation
- Advanced Micro Devices, Inc.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- Imagination Technologies Limited
- Matrox Electronic Systems Ltd
- IBM Corporation
- Sony Corporation
- VIA Technologies, Inc
Methodology
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