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市场调查报告书
商品编码
1215376
AI 芯片组全球市场规模研究和预测:按组件(中央处理器、图形处理器、神经网络处理器)、应用程序、地区划分,2022-2029 年Global AI Chipsets Market Size study & Forecast, by Component (Central Processing Unit, Graphics Processing Unit, and Neural Network Processor ), by Application and Regional Analysis, 2022-2029 |
2021 年全球 AI 芯片组市场价值约为 81.4 亿美元,预计在 2022-2029 年预测期内将以超过 39% 的健康增长率增长。我来了。
AI 芯片组是专门用于训练和运行具有 AI 软件架构的神经网络的集成电路。 它能够以最小的功耗实时执行要求苛刻的深度学习任务,例如对象检测和分割。 由于量子计算辅助市场的出现等因素,AI芯片组市场正在扩大。 这是一个由IBM公司、英特尔公司、三星半导体(三星电子有限公司)和华为技术公司主导的寡头垄断市场。
量子计算机已获得全球大多数公司的认可。 我们帮助解决行业技术和业务挑战,例如密码学、供应链问题、财务建模和药物开发。 这些只是经典计算机技术在不久的将来必鬚麵对当今方法所面临的一些加速挑战。 例如,Google LLC 的量子计算机 Sycamore 是最快的计算机,可以在大约 200 秒内完成一项任务。 人工智能、机器学习、计算机视觉、大数据和 AR/VR 等技术正在使能量子计算。 对量子计算的更好理解将增加对 AI 芯片组的需求并推动行业增长。 根据 Statista 的数据,全球量子计算市场在 2020 年产生了 4.12 亿美元的收入,预计到 2027 年将增长到 86 亿美元。 此外,越来越多地采用基于云的解决方案和越来越关注人类感知的人工智能係统,预计将在预测年度推动人工智能芯片组市场的增长。 然而,熟练的 AI 潜在劳动力短缺将阻碍整个 2022-2029 年预测期内的市场增长。
全球 AI 芯片组市场研究考虑的主要区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 由于品牌产品的主导地位和该地区技术渗透率的提高,亚太地区在收入方面占据了市场主导地位。 2019 年 6 月,首相安倍晋三宣布计划到 2025 年每年培训 25 万名人工智能技能人才,以发展人力资源。 由于老年人口和目标人口的增长、发展研究合作的增加、主要参与者的地域扩张以及政府机构和非营利组织积极参与市场空间等因素,北美将在预测期内继续增长。预计将以最高复合年增长率增长
这项研究的目的是定义近年来各个细分市场和国家/地区的市场规模,并预测它们在未来几年的价值。 该报告旨在捕捉被调查国家工业的定性和定量方面的情况。
它还提供了关键方面的详细信息,例如决定市场未来增长的驱动因素和挑战。 此外,它还包含供利益相关者投资的微观市场潜在机会,以及对主要参与者的竞争格局和产品供应的深入分析。
Global AI Chipsets Market is valued at approximately USD 8.14 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 39% over the forecast period 2022-2029. AI Chipsets is an integrated circuit specialized for training and running neural networks, with the AI software architecture. It has the capability to perform demanding deep learning tasks such as object detection and segmentation in real time with minimal power consumption. The AI Chipsets market is expanding because of factors such emergence of quantum computing aid market. It's an oligopolistic market dominated by IBM Corporation, Intel Corporation, Samsung Semiconductor (Samsung Electronics Co. Ltd) and Huawei Technologies Co. Ltd.
Quantum computing is globally accepted by most enterprises. It can help solve industry technical and business challenges such as cryptography, supply chain problems, financial modelling, and drug development. These are just some of the near-term accelerating challenges that classical computer technology must face in today's approaches. For example, Google LLC's Sycamore quantum computer is the fastest computer and can complete a task in about 200 seconds. Technologies such as artificial intelligence, machine learning, computer vision, big data, and AR/VR make quantum computing possible. A better understanding of quantum computing will increase the demand for AI chipsets and drive the growth of the industry. According to Statista, the revenue generated by the global quantum computing market was 412 million USD in 2020, it is expected to be increased to 8.6 billion USD by the time of 2027. Moreover, the rising adoption of cloud-based solutions and increased focus on human-aware AI systems is expected to boost the growth of the AI Chipsets market in the forecasting years. However, the lack of skilled ai potential workforce stifles market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global AI Chipsets Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the dominance of branded products and the region's increasing technological prevalence. In June 2019, Prime Minister Shinzo Abe announced plans to train 250,000 people a year in AI skills by 2025 for the purpose of human capital development. North America is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising geriatric and target populations, an increase in the number of collaborations for development, geographic expansion of key players, and active participation of government and nonprofits organizations in the market space.
Major market players included in this report are:
Intel Corporation
Huawei Technologies Co. Ltd
NVIDIA Corporation
Micron Technology Inc.
International Business Machine Corporation
Advanced Micro Devices Inc. (AMD)
Xilinx Inc.
Graphcore
Samsung Semiconductor (Samsung Electronics Co. Ltd)
Media Tek Inc
Recent Developments in the Market:
Global AI Chipsets Market Report Scope:
Historical Data: 2019-2020-2021
Base Year for Estimation: 2021
Forecast period: 2022-2029
Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered: Component, Application, Region
Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Central Processing Unit (CPU)
Graphics Processing Unit (GPU)
Neural Network Processor (NNP)
Other Components
By Application:
Consumer Electronics
Automotive
Healthcare
Automation and Robotics
Other Applications
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of figures
List of tables and figures and dummy in nature, final lists may vary in the final deliverable