市场调查报告书
商品编码
1119128
人工智能基础设施全球市场规模调查,按产品,按部署,按技术,按最终用户,按功能,按地区预测 2022-2028Global AI Infrastructure Market Size study, by Offering by Deployment by Technology by End-User by Function and Regional Forecasts 2022-2028 |
2021 年全球人工智能基础设施市场价值约为 383.4 亿美元,预计在 2022-2028 年的预测期内以超过 20.59% 的健康增长率增长。
人工智能 (AI) 基础架构允许组织构建智能、自我预测的应用程序,这些应用程序需要最少的人工协助,并在顶部使用深度学习机器技术。越来越多地采用云机器学习平台是全球人工智能基础设施市场增长的主要驱动力。组织开始看到将人工智能融入其业务的价值,因为它可以通过流程自动化降低成本并提高熟练度。 2019 年 2 月,IBM 宣布了一套新的物联网解决方案。该解决方案结合了高级分析和人工智能,可帮助资产密集型公司改进其维护策略。物联网解决方案旨在帮助公司降低成本和资产故障风险,例如涡轮机、车辆、製造机器人和采矿设备。此外,AI 智能在医疗保健、汽车、BFSI 和旅游等行业的使用越来越多,预计将推动 AI 基础设施的市场增长。然而,该领域人工智能硬件专业人才的短缺正在抑制人工智能基础设施市场的增长。
全球人工智能基础设施市场研究中考虑的关键区域是亚太地区、北美、欧洲、拉丁美洲和世界其他地区。北美在市场上占主导地位,预计该地区将在预测期内的未来几年继续占据主导地位。北美的主导地位主要是由于顶级公司的存在和该地区的高渗透率。由于新兴经济体的存在,预计亚太地区将呈现出足够的增长潜力。
本报告中包括的主要市场参与者是:
思科(美国)
IBM(美国)
英特尔公司(美国)
三星(韩国)
谷歌(美国)
微软(美国)
美光科技(美国)
NVIDIA 公司(美国)
甲骨文(美国)
Arm Limited(英国)
本研究的目的是确定近年来各个细分市场和国家/地区的市场规模,并预测未来 8 年的价值。该报告旨在捕捉所研究的每个地区和国家的行业的定性和定量方面。此外,它还提供了有关关键方面的详细信息,例如定义市场未来增长的驱动因素和挑战。此外,报告还应详细分析主要参与者的竞争格局和产品供应,以及微观市场中可供利益相关者投资的机会。市场的详细细分和子细分如下所述。
通过提供
硬件
软件
按部署:
本地
云
混合
按技术
机器学习
深度学习
最终用户:
公司
政府机构
云服务商
按功能查看
培训
推理
按地区
北美
美国
加拿大
欧洲
英国
德国
法国
西班牙
意大利
其他欧洲
亚太地区
中国
印度
日本
澳大利亚
韩国
其他亚太地区
拉丁美洲
巴西
墨西哥
世界其他地方
此外,本研究考虑的年份是:
实际年份 - 2018 年、2019 年、2020 年
2021 年基准年
预测期 - 2022 年 至 2028 年
本报告的目标受众是全球人工智能基础设施市场。
主要咨询公司和咨询公司
大公司、中型公司、中小企业
风险投资
增值经销商 (VAR)
第三方知识提供者
投资银行家
投资者
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