AI Infrastructure Market

Intel Corporation (US) and NVIDIA Corporation (US) are leading players in AI Infrastructure Market

The global AI infrastructure market is projected to grow from USD 14.6 billion in 2019 to USD 50.6 billion by 2025, at a CAGR of 23.1%. The market based on offering has been segmented into hardware and server software. Based on function, the AI infrastructure market has been segmented into training and inference. Based on deployment, it has been segmented into on-premises, cloud, and hybrid. Based on end users, the AI infrastructure market has been segmented into enterprises, government organizations, and cloud service providers. The market based on technology has been segmented into machine learning and deep learning. The market based on geography has been segmented into 4 main regions: North America, Europe, APAC, and RoW.

Key players operating in the AI infrastructure market are Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Samsung Electronics (South Korea), Google (US), Microsoft (US), Micron Technology (US), Amazon Web Services (US), CISCO (US), Oracle (US), ARM (UK), Xilinx (US), Advanced Micro Devices (AMD) (US), Dell (US), HPE (US), Habana Labs (Israel), and Synopsys Inc. (US). Other key players include SK HYNIX Inc. (South Korea), Wave Computing (US), Toshiba (Japan), Imagination Technologies (UK), Cambricon Technology (China), Cadence (US), Graphcore (UK), Gyrfalcon Technology Inc. (US), and Tensotorrent Inc. (Canada). Market players have adopted various strategies to expand their global presence and increase their market shares.

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Intel Corporation (US) is a leading designer and manufacturer of advanced integrated digital technology platforms. The company has robust market presence, especially in the PC and data center market, and invests significantly in R&D, which has resulted in its strong position in the AI infrastructure market. In the past 2 years, Intel significantly adopted inorganic strategies, such as acquisitions and partnerships. The acquisition of companies such as Saffron Technology, Altera, Nervana Systems, Movidius, and Mobileye has further improved its AI product portfolio. Moreover, Intel’s partnership with AI software solution and service providers, such as C3 IoT, Inc., JianPei Tech Ltd., and Mphasis, is expected to remain a vital growth strategy of the company in the coming years as these solutions will lead to mainstream AI adoption that will drive improvements in efficiency, responsiveness, and personalization.

NVIDIA (US)is among the world leaders in the visual computing business. The company has a well-established geographic footprint and mainly deals with major OEMs/ODMs across the world. The company continues to lead in the development of new products for the AI/DL market. NVIDIA DGX systems is one of the most prominent products in its portfolio of purpose-built AI supercomputers introduced by the company. The company’s data center business (which usually demands GPUs for AI applications) has increased tremendously from USD 830 million in 2017 to USD 1,932 million in 2018. Additionally, with products such as NVIDIA T4, NVIDIA Tesla V100, NVIDIA Tesla P100, NVIDIA Tesla P4/P40, T4 Enterprise Server, NVIDIA DGX Systems, NVIDIA DGX Station, NVIDIA DGX-1, NVIDIA DGX-2, and NVIDIA HGX, NVIDIA aims to establish its high-performance computing capabilities in autonomous driving. Further, the company focuses on concurrently developing multiple generations of GPUs and Tegra processors for high-performance computing and future AI needs.

Related Reports:

AI Infrastructure Market by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud, Hybrid), End User, and Region - Global Forecast to 2025

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Report Code
SE 7201
RI Published ON
6/27/2019
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