市場調查報告書
商品編碼
1119128
人工智能基礎設施全球市場規模調查,按產品,按部署,按技術,按最終用戶,按功能,按地區預測 2022-2028Global AI Infrastructure Market Size study, by Offering by Deployment by Technology by End-User by Function and Regional Forecasts 2022-2028 |
2021 年全球人工智能基礎設施市場價值約為 383.4 億美元,預計在 2022-2028 年的預測期內以超過 20.59% 的健康增長率增長。
人工智能 (AI) 基礎架構允許組織構建智能、自我預測的應用程序,這些應用程序需要最少的人工協助,並在頂部使用深度學習機器技術。越來越多地採用雲機器學習平台是全球人工智能基礎設施市場增長的主要驅動力。組織開始看到將人工智能融入其業務的價值,因為它可以通過流程自動化降低成本並提高熟練度。 2019 年 2 月,IBM 宣布了一套新的物聯網解決方案。該解決方案結合了高級分析和人工智能,可幫助資產密集型公司改進其維護策略。物聯網解決方案旨在幫助公司降低成本和資產故障風險,例如渦輪機、車輛、製造機器人和採礦設備。此外,AI 智能在醫療保健、汽車、BFSI 和旅遊等行業的使用越來越多,預計將推動 AI 基礎設施的市場增長。然而,該領域人工智能硬件專業人才的短缺正在抑制人工智能基礎設施市場的增長。
全球人工智能基礎設施市場研究中考慮的關鍵區域是亞太地區、北美、歐洲、拉丁美洲和世界其他地區。北美在市場上占主導地位,預計該地區將在預測期內的未來幾年繼續佔據主導地位。北美的主導地位主要是由於頂級公司的存在和該地區的高滲透率。由於新興經濟體的存在,預計亞太地區將呈現出足夠的增長潛力。
本報告中包括的主要市場參與者是:
思科(美國)
IBM(美國)
英特爾公司(美國)
三星(韓國)
谷歌(美國)
微軟(美國)
美光科技(美國)
NVIDIA 公司(美國)
甲骨文(美國)
Arm Limited(英國)
本研究的目的是確定近年來各個細分市場和國家/地區的市場規模,並預測未來 8 年的價值。該報告旨在捕捉所研究的每個地區和國家的行業的定性和定量方面。此外,它還提供了有關關鍵方面的詳細信息,例如定義市場未來增長的驅動因素和挑戰。此外,報告還應詳細分析主要參與者的競爭格局和產品供應,以及微觀市場中可供利益相關者投資的機會。市場的詳細細分和子細分如下所述。
通過提供
硬件
軟件
按部署:
本地
雲
混合
按技術
機器學習
深度學習
最終用戶:
公司
政府機構
雲服務商
按功能查看
培訓
推理
按地區
北美
美國
加拿大
歐洲
英國
德國
法國
西班牙
意大利
其他歐洲
亞太地區
中國
印度
日本
澳大利亞
韓國
其他亞太地區
拉丁美洲
巴西
墨西哥
世界其他地方
此外,本研究考慮的年份是:
實際年份 - 2018 年、2019 年、2020 年
2021 年基準年
預測期 - 2022 年 至 2028 年
本報告的目標受眾是全球人工智能基礎設施市場。
主要諮詢公司和諮詢公司
大公司、中型公司、中小企業
風險投資
增值經銷商 (VAR)
第三方知識提供者
投資銀行家
投資者
Global AI Infrastructure Market is valued approximately USD 38.34 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 20.59 % over the forecast period 2022-2028. Artificial intelligence(AI) infrastructure involves use of deep learning machine technology upon which organizations can built intelligent self-predictive applications that requires minimal human assistance . Increasing adoption of cloud machine learning platform is key driving factor for the growth of global AI infrastructure market. organizations are beginning to recognize value of incorporation of AI into business as it reduces cost and increases proficiency through automation of process flow. In February 2019, IBM launched a new set of IoT solutions. The solutions team up advanced analytics and AI to aid asset-intensive companies to improve their maintenance strategies. The IoT solutions are designed with an aim to help companies to cut down the costs and risk of failure from assets such as turbines, vehicles, manufacturing robots, and mining equipment among others. Also, expanding utilization of AI Intelligence in industries like healthcare, automotive, BFSI, and tourism is expected to bolster the market growth of AI infrastructure. However, lack of AI hardware experts in the field is restraining the growth of AI infrastructure market.
The key regions considered for the Global AI Infrastructure Market study includes Asia Pacific, North America, Europe, Latin America and Rest of the World. North America dominates the market and the region is expected to continue to do so in the coming years of the forecast period. The dominance of North America is primarily due to the presence of top market players and a high level of adoption in the region. Asia Pacific market is projected to show decent growth potential on account of the presence of emerging economies.
Major market player included in this report are:
Cisco (US)
IBM (US)
Intel Corporation (US)
SAMSUNG (South Korea)
Google (US)
Microsoft (US)
Micron Technology, Inc (US)
NVIDIA Corporation (US)
Oracle (US)
Arm Limited (UK)
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 eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available 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 Offering:
Hardware
Software
By Deployment
On-Premises
Cloud
Hybrid
By Technology:
Machine Learning
Deep Learning
By End-User :
Enterprises
Government Organizations
Cloud Service Provider
By Function:
Training
Inference
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
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year - 2018, 2019, 2020
Base year - 2021
Forecast period - 2022 to 2028
Target Audience of the Global AI Infrastructure Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
List of figures