Artificial Intelligence (AI) in Hardware Market

Artificial Intelligence (AI) Hardware Market Size, Share, Growth Analysis, By Type(Processor, Network), By End-User(Telecommunication and IT industry, Banking and Finance Sectors), By Product Type(CPU, GPU), By Application(Training & Simulation, Driver Monitoring Systems), By Technology(Machine Learning, Supervised Learning), By Material(Silicon, GaN), By Devices(Smartphones & Tablets, Personal Computing Devices), By Deployment(Cloud, Cloud Platforms) - Industry Forecast 2024-2031

Report ID: SQMIG45I2192 | Region: Global | Published Date: April, 2024
Pages: 197 | Tables: 258 | Figures: 75

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Artificial Intelligence (AI) Hardware Market size was valued at USD 13.22 Billion in 2022 and is poised to grow from USD 16.78 Billion in 2023 to USD 113.30 Billion by 2031, growing at a CAGR of 26.96% in the forecast period (2024-2031).

NVIDIA offers its expertise in GPU systems and accelerators designed specifically for the AI industry. These GPUs are optimized for parallel processing, making them ideal for training and inference tasks in deep learning models. Meanwhile, AWS brings its extensive cloud computing infrastructure and reach to the partnership, providing scalable computing resources and storage solutions to support AI performance. Nvidia and AWS are integrating each of their technologies to create a comprehensive AI infrastructure solution for the cloud. This solution allows enterprises and organizations to leverage NVIDIA's high-performance GPUs in AWS' cloud environment and enables seamless deployment and scaling of AI applications. Customers can access NVIDIA GPU instances on AWS to train AI models that produce very hard for the computing power required. 'Apple (US)', 'Intel (US)', 'NVIDIA (US)', 'Qualcomm Technologies (US)', 'Huawei Technologies (China)', 'Samsung Electronics (South Korea)', 'IBM (US)', 'Micron Technology (US)', 'Xilinx (US)', 'Google (US)', 'Microsoft (US)', 'AMD (US)', 'Inspur Group', 'Graphcore'

Constant innovation and advancement in hardware technology is fueling growth in the Artificial Intelligence (AI) in Hardware Market. With advances in the semiconductor industry, including the development of specialized AI chips such as GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units), these advances enhance, and expand, the performance and functionality of AI systems AI applications and helps in market expansion.

Growing Demand for Specialized AI Hardware: The Artificial Intelligence (AI) in Hardware Market is witnessing several key trends that are changing the landscape of the industry and driving its growth trajectory. A key trend is the increasing demand for specialized AI hardware designed for specific tasks and specific industries. As AI technology becomes increasingly ubiquitous across industries, the need for customized hardware solutions increases to meet the unique computing needs of various applications such as natural language functionality, computer vision, autonomous driving etc. This trend drives innovation among hardware manufacturers -Units are evolving Another important trend is the rise of edge AI hardware solutions, driven by the proliferation of Internet of Things (IoT) devices and the need for real-time operations and calculated at the network edge.

As a hub for technological innovation and home to leading AI hardware manufacturers, North America occupies a dominant position in the market. AI provides a conducive environment for hardware development and commercialization, the sector benefits from a strong ecosystem that includes tech giants, start-ups, research institutes and venture capitalists. Furthermore, market does the presence of major players such as NVIDIA, Intel and Google contribute to North America’s leadership in innovation and setting industry standards.

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