The global AI infrastructure market is expected to grow from USD 26.18 billion in 2023 to USD 178.95 billion by 2032, growing at a CAGR of 23.8% in the forecast period of 2024-2032.
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AI deep learning engineering architecture enables a computer to create a hierarchical representation. For example, the captured image of the first layer might scan for simple edges, followed by a layer collecting edge-forming shapes. The final layer was able to identify parts of the computer. The neural network can collate the features into an algorithm that can recognize the overall image after scanning many layers to find the required data. A large volume of information has been generated by the growing proliferation of robots, cybersecurity technologies, IoT, industrial automation, and machine vision technology. Its data serves as a deep learning software training platform that assists in testing and diagnosing processes.
The AI infrastructure market can be divided based on segments like type, technology, deployment, function, end-use, and region.
The industry can be broadly categorised on the basis of type into:
The industry can be divided based on technology into:
The industry can be divided on the basis of deployment as:
The industry can be segmented based on function as:
The industry can be divided on the basis of end-use as:
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The major drivers of the AI technology market include the growing adoption of the cloud machine learning system, increasing demand for AI hardware in high-performance data centres, and rising emphasis on parallel computing in AI data centres. The increasing data volume produced in industries such as automotive and healthcare, improving computing power, decreasing hardware costs, a growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are further driving the market. One of the key factors restraining the development of the AI technology market is the economies within North America and Europe.
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The report presents a detailed analysis of the following key players in the global AI infrastructure market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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In 2023, the global AI infrastructure market attained a value of nearly USD 26.18 billion.
The market is projected to grow at a CAGR of 23.80% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach about USD 178.95 billion by 2032.
The major drivers expected to aid the market growth are the growing acceptance of AI technology, shift towards cloud machine learning systems, rising preference for AI-based hardware and software, increased data volume from healthcare industry and other sectors, and the heightening focus on parallel computing in AI data centres.
The key market trends guiding the growth of the AI infrastructure industry include cross-industry partnerships and collaborations and the growing technological advancements.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
Hardware and server software are the major AI infrastructure types in the market.
Machine learning and deep learning are the significant technologies of the product in the market.
On premises, cloud, and hybrid are the major AI infrastructure deployments in the market.
Training and inference are the leading functions of the product in the market.
Enterprises, government organisations, and cloud service providers, among others, are the significant end use sectors in the market.
The major players in the global AI infrastructure market are Intel Corporation, Nvidia Corporation, Google LLC, Microsoft Corporation, Cisco Systems, Inc, Amazon Web Services, Inc., International Business Machines Corporation, and Arm Limited, among others.
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Type |
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| Breakup by Technology |
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| Breakup by Deployment |
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| Breakup by Function |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
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United States (Head Office)
30 North Gould Street, Sheridan, WY 82801
+1-415-325-5166
Australia
63 Fiona Drive, Tamworth, NSW
+61-448-061-727
India
C130 Sector 2 Noida, Uttar Pradesh 201301
+91-858-608-1494
Philippines
40th Floor, PBCom Tower, 6795 Ayala Avenue Cor V.A Rufino St. Makati City, 1226.
+63-287-899-028, +63-967-048-3306
United Kingdom
6 Gardner Place, Becketts Close, Feltham TW14 0BX, Greater London
+44-753-713-2163
Vietnam
193/26/4 St.no.6, Ward Binh Hung Hoa, Binh Tan District, Ho Chi Minh City
+84-865-399-124
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