AI Infrastructure Spending to Exceed $100 Billion by 2028

Published Date : 27/11/2024 

The global Artificial Intelligence (AI) infrastructure market is set to witness unprecedented growth, expected to surpass $100 billion in spending by 2028, according to the latest findings from the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Infrastructure Tracker. 

The global Artificial Intelligence (AI) infrastructure market is on track for unprecedented growth, poised to surpass $100 billion USD in spending by 2028, according to the latest findings from the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Infrastructure Tracker. Organizations increased spending on compute and storage hardware infrastructure for AI deployments by 37% year-over-year in the first half of 2024, reaching $31.8 billion.The AI infrastructure market has sustained double-digit growth for nine consecutive half-years, driven primarily by investment in servers for AI deployments. In the first half of 2024, servers accounted for 89% of the total spending, growing 37% compared to the same period last year. AI infrastructure deployed in cloud and shared environments accounts for 65% of the total server spending in AI in the first half of 2024, as hyperscalers, cloud service providers, and digital service providers expand their infrastructure capabilities. Traditional enterprises, by contrast, have largely lagged behind in adopting on-premises AI infrastructure.Servers with an embedded accelerator are the preferred infrastructure for AI platforms, accounting for 58% of the total server AI infrastructure spending, growing 63% in the first half of the year 2024. IDC projects that accelerated servers will exceed 60% of the server AI infrastructure spending by 2028, growing at a 19% 5-year CAGR rate.Storage spending in AI infrastructure has been driven by the need to manage large datasets required for training AI models, as well as the storage of training, checkpoints, and repositories of data for inference phases. This category reported a 36% year-over-year growth rate in the first half of 2024, with 56% of the spending coming from cloud deployments.The United States leads the global AI infrastructure market, accounting for almost half of the total spending in the first half of 2024, followed by PRC (23%), APJ (16%), and EMEA (10%). Over the next five years, IDC expects the APJ region to grow at the fastest CAGR (20%) followed by the USA (16%), EMEA (13%), and PRC (11%). By 2028, IDC forecast AI Infrastructure spending to reach $107 billion, with servers deployed in cloud environments at 75% of the market total and accelerated servers around 56% of the total market spending.“IDC expects AI adoption to continue growing at a remarkable pace as hyperscalers, CSPs, private companies, and governments around the world are increasingly prioritizing AI. Growing concerns around energy consumption for AI infrastructure will become a factor in datacenters looking for alternatives to optimize their architectures and minimize energy use,” said Lidice Fernandez, Group Vice President, Worldwide Enterprise Infrastructure Trackers.IDC defines AI type considered AI centric in the server and storage categories, including systems that run one or more of the following applications - AI platforms dedicated to AI application development; most AI training occurs here.- AI applications whose prime function is to execute AI models; most AI inferencing happens in this category.- AI-enabled (traditional) applications with some AI functionality- AI application development and deployment (AD&D) software used to develop AI models and applicationsThe full taxonomy including definitions can be found in IDC's Worldwide Artificial Intelligence Infrastructure Tracker Taxonomy, 2024 (IDC US52098724). Fundamentally, the reporting of AI hardware in the AI Infrastructure Tracker is a 'workloads based' view of the server and storage markets, defined in IDC's Worldwide Semiannual Enterprise Infrastructure Tracker Workloads Taxonomy, 2024 (IDC US52673724, November 2024).IDC's Worldwide Semiannual Artificial Intelligence Infrastructure Tracker is a comprehensive global data tool that details vendor share and forecast information on server and storage systems running artificial intelligence (AI) applications. The tracker is built on the strong foundation of IDC's vendor product and market modeling methodology coupled with its extensive network of worldwide and local expertise across the globe, ensuring that the market competition and opportunities are represented true to reality.For more information about IDC's Semiannual Artificial Intelligence Infrastructure Tracker, please contact Lidice Fernandez at lfernandez@idc.com.About IDCInternational Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight help IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company. To learn more about IDC, please visit www.idc.com. Follow IDC on Twitter at @IDC and LinkedIn. Subscribe to the IDC Blog for industry news and insights. 

Frequently Asked Questions (FAQS):

Q: What is the expected growth rate of the AI infrastructure market by 2028?

A: The AI infrastructure market is expected to surpass $100 billion in spending by 2028, with a significant growth rate driven by investments in servers, cloud deployments, and accelerated servers.

Q: Which region leads in AI infrastructure spending?

A: The United States leads the global AI infrastructure market, accounting for almost half of the total spending.

Q: What percentage of AI server spending is allocated to cloud and shared environments?

A: 65% of the total server spending in AI is allocated to cloud and shared environments.

Q: What is the role of accelerated servers in AI infrastructure?

A: Accelerated servers, which have an embedded accelerator, account for 58% of the total server AI infrastructure spending and are expected to exceed 60% by 2028, growing at a 19% 5-year CAGR rate.

Q: What are the main drivers of storage spending in AI infrastructure?

A: Storage spending in AI infrastructure is driven by the need to manage large datasets required for training AI models, as well as the storage of training, checkpoints, and repositories of data for inference phases. 

More Related Topics :