
北美深度学习芯片市场至 2027 年 - 按芯片类型(GPU、ASIC、FPGA、CPU 等)进行区域分析和预测;技术(片上系统、系统级封装、多芯片模块、其他);垂直行业(媒体与广告、BFSI、IT 与电信、零售、医疗保健、汽车与运输等)
No. of Pages: 111 | Report Code: TIPRE00008603 | Category: Electronics and Semiconductor
No. of Pages: 111 | Report Code: TIPRE00008603 | Category: Electronics and Semiconductor
北美深度学习芯片市场预计将从2018年的9.001亿美元增长到2027年的78.364亿美元,自2019年起复合年增长率为27.1%到2027年。
深度投资不断增加等驱动因素学习芯片初创企业正在推动深度学习芯片市场的增长。此外,预计多个行业越来越多地采用基于云的计算,这将在不久的将来推动深度学习芯片市场的增长。随着人工智能用例的不断增加和市场格局的不断变化,现有芯片的进步已成为必然。深度学习芯片主要应用于数据中心训练市场,其中NVIDIA是市场领导者。然而,针对特定应用的定制深度学习芯片以及边缘和数据中心推理的需求是深度学习芯片市场中快速增长的细分领域,许多新的初创公司正在进军这一市场。这些初创企业提供的创新技术和解决方案将加剧深度学习芯片市场的竞争。这些初创公司的融资情况看起来不错,主要是由于各行业对人工智能及其改变业务流程的能力产生了巨大兴趣。初创企业领域的一些重要发展包括,2019 年 5 月,以色列私人有限公司 Hailo Technologies Ltd. 推出了首款深度学习处理器,名为 Hailo i-8 芯片。该芯片预计可提供每秒 26 万亿次运算 (TOPS)。 2019 年 11 月,英特尔公司推出了用于深度学习的 Nervana 神经网络处理器,进一步增强了其在人工智能领域的地位。
深度学习学习芯片市场根据芯片类型分为GPU、ASIC、FPGA、CPU等。在2019年至2027年的预测期内,GPU芯片类型预计将成为深度学习芯片市场的最大贡献者。然而,ASIC 细分市场预计将成为预测期内增长最快、复合年增长率最高的芯片类型。
美国占主导地位2018年深度学习芯片市场,预计在预测期内将主导北美地区市场份额最高的市场。美国在深度学习芯片技术总支出中占据主要份额。美国深度学习芯片市场的增长主要得益于每年大量科技初创企业的增长,这些初创企业由多家资本家资助,从而扩大了市场范围。市场上的公司正在为人工智能及其子集开发专用平台。例如,2017年3月,美国人工智能平台提供商Mythic推出了一款人工智能平台,该平台具有在内存中处理模拟/数字计算的优势,从而提高了各种设备的性能、功耗寿命和准确性。因此,上述因素促进了该国深度学习芯片市场的增长。下图突出显示了预测期内墨西哥在深度学习芯片市场中的收入份额:
北美深度学习 - 芯片市场细分< /strong>
北美深度学习 - 按芯片类型
北美深度学习 - 按技术
北美深度学习 - 按行业垂直
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北美深度学习 - 按国家/地区
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深度学习芯片市场 - 提及的公司
Strategic insights for North America Deep Learning Chip involve closely monitoring industry trends, consumer behaviours, and competitor actions to identify opportunities for growth. By leveraging data analytics, businesses can anticipate market shifts and make informed decisions that align with evolving customer needs. Understanding these dynamics helps companies adjust their strategies proactively, enhance customer engagement, and strengthen their competitive edge. Building strong relationships with stakeholders and staying agile in response to changes ensures long-term success in any market.
Report Attribute | Details |
---|---|
Market size in 2018 | US$ 900.1 Million |
Market Size by 2027 | US$ 7836.4 Million |
Global CAGR (2019 - 2027) | 27.1% |
Historical Data | 2016-2017 |
Forecast period | 2019-2027 |
Segments Covered |
By 芯片类型
|
Regions and Countries Covered | 北美
|
Market leaders and key company profiles |
The regional scope of North America Deep Learning Chip refers to the geographical area in which a business operates and competes. Understanding regional nuances, such as local consumer preferences, economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved regions or adapting their offerings to meet regional demands. A clear regional focus allows for more effective resource allocation, targeted marketing, and better positioning against local competitors, ultimately driving growth in those specific areas.
The List of Companies - North America Deep Learning Chip Market
The North America Deep Learning Chip Market is valued at US$ 900.1 Million in 2018, it is projected to reach US$ 7836.4 Million by 2027.
As per our report North America Deep Learning Chip Market, the market size is valued at US$ 900.1 Million in 2018, projecting it to reach US$ 7836.4 Million by 2027. This translates to a CAGR of approximately 27.1% during the forecast period.
The North America Deep Learning Chip Market report typically cover these key segments-
The historic period, base year, and forecast period can vary slightly depending on the specific market research report. However, for the North America Deep Learning Chip Market report:
The North America Deep Learning Chip Market is populated by several key players, each contributing to its growth and innovation. Some of the major players include:
The North America Deep Learning Chip Market report is valuable for diverse stakeholders, including:
Essentially, anyone involved in or considering involvement in the North America Deep Learning Chip Market value chain can benefit from the information contained in a comprehensive market report.