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市場調查報告書
商品編碼
1215376
AI 芯片組全球市場規模研究和預測:按組件(中央處理器、圖形處理器、神經網絡處理器)、應用程序、地區劃分,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 芯片組市場價值約為 81.4 億美元,預計在 2022-2029 年預測期內將以超過 39% 的健康增長率增長。我來了。
AI 芯片組是專門用於訓練和運行具有 AI 軟件架構的神經網絡的集成電路。 它能夠以最小的功耗實時執行要求苛刻的深度學習任務,例如對象檢測和分割。 由於量子計算輔助市場的出現等因素,AI芯片組市場正在擴大。 這是一個由IBM公司、英特爾公司、三星半導體(三星電子有限公司)和華為技術公司主導的寡頭壟斷市場。
量子計算機已獲得全球大多數公司的認可。 我們幫助解決行業技術和業務挑戰,例如密碼學、供應鏈問題、財務建模和藥物開發。 這些只是經典計算機技術在不久的將來必鬚麵對當今方法所面臨的一些加速挑戰。 例如,Google LLC 的量子計算機 Sycamore 是最快的計算機,可以在大約 200 秒內完成一項任務。 人工智能、機器學習、計算機視覺、大數據和 AR/VR 等技術正在使能量子計算。 對量子計算的更好理解將增加對 AI 芯片組的需求並推動行業增長。 根據 Statista 的數據,全球量子計算市場在 2020 年產生了 4.12 億美元的收入,預計到 2027 年將增長到 86 億美元。 此外,越來越多地採用基於雲的解決方案和越來越關注人類感知的人工智能係統,預計將在預測年度推動人工智能芯片組市場的增長。 然而,熟練的 AI 潛在勞動力短缺將阻礙整個 2022-2029 年預測期內的市場增長。
全球 AI 芯片組市場研究考慮的主要區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 由於品牌產品的主導地位和該地區技術滲透率的提高,亞太地區在收入方面佔據了市場主導地位。 2019 年 6 月,首相安倍晉三宣布計劃到 2025 年每年培訓 25 萬名人工智能技能人才,以發展人力資源。 由於老年人口和目標人口的增長、發展研究合作的增加、主要參與者的地域擴張以及政府機構和非營利組織積極參與市場空間等因素,北美將在預測期內繼續增長。預計將以最高複合年增長率增長
這項研究的目的是定義近年來各個細分市場和國家/地區的市場規模,並預測它們在未來幾年的價值。 該報告旨在捕捉被調查國家工業的定性和定量方面的情況。
它還提供了關鍵方面的詳細信息,例如決定市場未來增長的驅動因素和挑戰。 此外,它還包含供利益相關者投資的微觀市場潛在機會,以及對主要參與者的競爭格局和產品供應的深入分析。
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