North America Artificial Intelligence (AI) Chip Market Size Analysis 2020 due to COVID-19 Impact
"North America Artificial Intelligence (AI) Chip Market 2020" report share informative data figures as well as important insights regarding some of the market component which is considered to be future course architects for the market. This includes factors such as market size, market share, market segmentation, significant growth drivers, market competition, different aspects impacting economic cycles in the market, demand, expected business up-downs, changing customer sentiments, key companies operating in the North America Artificial Intelligence (AI) Chip Market, etc. In order to deliver a complete understanding of the global market, the report also shares some of the useful details regarding regional as well as significant domestic markets. The report presents a 360-degree overview and SWOT analysis of the competitive landscape of the industries.
The increase in data generation due to the increasing proliferation of digital services is boosting the growth of the AI chip market. The significant investments in AI chip start-ups are also anticipated to boost the market growth. Moreover, the adoption of cloud-based AI solutions is anticipated to propel growth in the forecast period. Presently, the major applications of AI chip are in the data center/cloud computing segment, and this trend is anticipated to continue over the forecast period. Also, rising adoption of AI in developing regions, evolving architectures of AI chips, and increasing applications across various industry verticals are driving the AI chip market. Owing to this growing trend, companies are anticipated to produce high-quality service by adopting cloud-based artificial intelligence services.
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North America Artificial Intelligence (AI) Chip Market - Advanced Micro Devices, Inc.,Alphabet Inc. (Google),Huawei Technologies Co., Ltd.,IBM Corporation,Intel Corporation,Micron Technology, Inc.,NVIDIA Corporation,Qualcomm Incorporated,Samsung Electronics Co., Ltd.,Xilinx, Inc.
The GPU segment of the AI Chip market led the North America market with maximum share and is expected to continue its dominance over the forecast period. The AI Chip market by type is segmented into CPU, GPU, ASIC, FPGA, and others. The other segment includes SoC and other custom chips used for AI applications. GPUs are good at fetching large amounts of memory, and they offer energy efficient means of managing the complex array of calculations involved in training a neural network. It means that GPUs can train more neural networks with less hardware. However, in artificial intelligence applications, inference applications are as important as the training ones, so companies require chips which can quickly execute neural networks through inference. For this, many big tech companies are building their specific inference solutions such as Google’s TPU. For inference applications, Microsoft uses FPGAs and Baidu uses GPUs; they are more relevant for training but can work for inference also when combined with suitable software.
These factors are expected to offer broad growth opportunities in the healthcare industry and this is expected to cause the demand for immunochemistry assays in the market.
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NORTH AMERICA AI CHIP MARKET SEGMENTATION
By Segment
- Data Center
- Edge
By Type
- CPU
- GPU
- ASIC
- FPGA
- Others
By Industry Vertical
- BFSI
- Retail
- IT & Telecom
- Automotive & Transportation
- Healthcare
- Media & Entertainment
- Others
By Country
- U.S.
- Canada
- Mexico
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