查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1425199

2024 年人工智慧基礎設施全球市場報告

AI Infrastructure Global Market Report 2024
出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，人工智慧基礎設施市場規模快速擴大。將從2023年的442.8億美元擴大到2024年的580.7億美元，複合年成長率為31.2%。這種成長是由於多種因素造成的。其中包括資料產生的增加、深度學習技術的進步、對即時處理能力的需求增加、監管標準的合規性要求以及對資料隱私和安全性日益成長的擔憂。總的來說，這些因素促進了特定歷史時期人工智慧基礎設施的擴展和發展。

北美是2023年AI基礎設施市場最大的地區。亞太地區預計將成為人工智慧基礎設施市場報告預測期內成長最快的地區。人工智慧基礎設施市場報告涵蓋的地區包括亞太地區、西歐、中歐和東歐、北美、南美以及中東和非洲。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球人工智慧基礎設施市場的驅動和限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023年全球人工智慧基礎設施市場規模表現與成長
  • 全球人工智慧基礎設施市場規模及成長預測，2023-2028、2033

第6章市場區隔

  • 全球人工智慧基礎設施市場，按部署類型細分、實際和預測，2018-2023、2023-2028、2033
  • 本地
  • 雲
  • 混合
  • 全球人工智慧基礎設施市場，按產品細分、實際和預測，2018-2023、2023-2028、2033
  • 硬體
  • 伺服器軟體
  • 全球人工智慧基礎設施市場，按功能細分、實際和預測，2018-2023、2023-2028、2033
  • 訓練
  • 推理
  • 全球人工智慧基礎設施市場，按技術細分、實際和預測，2018-2023、2023-2028、2033
  • 機器學習
  • 深度學習
  • 全球人工智慧基礎設施市場，按最終用戶細分，實際和預測，2018-2023、2023-2028、2033
  • 公司
  • 政府機關
  • 雲端服務供應商

第 7 章 區域與國家分析

  • 全球人工智慧基礎設施市場，按地區、績效和預測，2018-2023、2023-2028、2033
  • 全球人工智慧基礎設施市場，按國家、績效和預測，2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭形勢及公司概況

  • AI基礎建設市場競爭形勢
  • 人工智慧基礎設施市場公司概況
    • Nvidia Corporation
    • Intel Corporation
    • Oracle Corporation
    • Samsung Group
    • Micron Technology Inc.

第31章競爭基準化分析

第 32 章競爭對手儀表板

第33章 重大併購

第34章 未來前景與潛力分析

第35章附錄

簡介目錄
Product Code: r12430

AI Infrastructure Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai infrastructure market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for ai infrastructure? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai infrastructure market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 1) By Offerings: Hardware; Server Software
  • 2) By Function: Training; Inference
  • 3) By Technology: Machine Learning; Deep Learning
  • 4) By Deployment Type: On-Premises; Cloud; Hybrid
  • 5) By End User: Enterprises; Government Organizations; Cloud Service Providers
  • Companies Mentioned: Nvidia Corporation; Intel Corporation; Oracle Corporation; Samsung Group; Micron Technology Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

AI infrastructure comprises IT infrastructure designed to collect data from various systems, preparing it for analysis and facilitating tasks such as outcome prediction, administrative task automation, and optimization of software-defined infrastructure technologies. This infrastructure is crucial for accessing and managing computing resources, enabling the testing, training, and deployment of AI algorithms in machine learning workflows.

The main components of AI infrastructure include hardware and server software. Hardware encompasses the physical components of computers and related devices. The functions of AI infrastructure involve training and inference, both integral to the machine learning and deep learning processes. Deployment types include on-premises, cloud-based, and hybrid solutions. Various end-users, such as enterprises, government organizations, and cloud service providers, leverage AI infrastructure to enhance their data processing and analysis capabilities.

The AI infrastructure market research report is one of a series of new reports from The Business Research Company that provides AI infrastructure market statistics, including AI infrastructure industry global market size, regional shares, competitors with an AI infrastructure market share, detailed AI infrastructure market segments, market trends and opportunities, and any further data you may need to thrive in the AI infrastructure industry. This AI infrastructure market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The ai infrastructure market size has grown exponentially in recent years. It will grow from $44.28 billion in 2023 to $58.07 billion in 2024 at a compound annual growth rate (CAGR) of 31.2%. The growth observed in the historical period can be attributed to several factors. These include the increased generation of data, advancements in deep learning technologies, a growing demand for real-time processing capabilities, compliance requirements with regulatory standards, and heightened concerns related to data privacy and security. These factors collectively contributed to the expansion and development of AI infrastructure during the specified historical period.

The ai infrastructure market size is expected to see exponential growth in the next few years. It will grow to $169.16 billion in 2028 at a compound annual growth rate (CAGR) of 30.6%. The anticipated growth in the forecast period can be attributed to various factors within the AI infrastructure landscape. These include advances in quantum computing, considerations for energy efficiency, the growth of explainable AI standards, an emphasis on personalization in customer experiences, and the rapid expansion of AI applications. Major trends expected in the forecast period encompass the swift adoption of AI across diverse industries, the expansion of edge AI, the development of AI-specific hardware, the prevalence of hybrid and multi-cloud deployments, the emergence of AI-optimized storage solutions, increased focus on AI security and ethical considerations, and collaborative efforts between AI and cloud providers. These trends are poised to shape and drive the growth of AI infrastructure in the coming forecast period.

The anticipated surge in AI infrastructure market growth stems from the escalating data traffic and the imperative for robust computing power. Data traffic signifies the volume of data coursing through a network, while high computing power denotes systems' capacity for rapid data processing and intricate calculations. High-Performance Computing (HPC) infrastructure stands as a linchpin for AI models, augmenting storage, networking, and data processing capabilities. Its pivotal role lies in enabling scalability for AI projects, facilitating swift workload processing during training stages, and significantly enhancing AI model accuracy and dependability within compressed timelines. A notable example is Ericsson's report in June 2022, revealing a 40% year-over-year surge in mobile network data traffic, underscoring this escalating trend. Similarly, in May 2022, the International Data Corporation highlighted that 50% of startups in the Asia-Pacific region prioritize high-performance computing infrastructure to grapple with life sciences' genomic data complexities, leveraging its potent computing prowess.

The trajectory of AI infrastructure market expansion aligns with the burgeoning demand for cloud services. These services encompass an array of on-demand computing resources and applications accessible over the internet. Within AI infrastructure, cloud services play a pivotal role in furnishing an adaptable, scalable platform for the development, deployment, and management of AI applications. They empower organizations to embark on innovative endeavors. Citing a September 2022 study by AAG IT Support Service, a global survey revealed a consistent uptick in heavy usage of cloud services among 753 technical and business professionals, rising from 53% in 2020 to 63% in 2022. This upward trend underscores the pivotal role of cloud services in propelling the growth trajectory of the construction industry.

A prominent trend steering the evolution of the AI infrastructure market revolves around technological advancements. Key industry players are directing their efforts towards innovating novel technological solutions to fortify their market positioning. Notably, Nvidia Corporation, a major entity in the AI infrastructure domain, unveiled in June 2021 the NVIDIA AI Launchpad-a comprehensive, cloud-native suite of AI and data analytics software. This solution aims to streamline the entire AI lifecycle, expediting the deployment of AI infrastructure and catering to diverse AI facets, from data center training and inference to extensive edge deployments. Furthermore, the compatibility of NVIDIA AI Launchpad with GPU and DPU-based systems furnishes enterprises with the ability to accelerate AI workloads, capitalizing on the security, isolation, and performance enhancements offered by DPUs.

Prominent entities within the AI infrastructure sphere are strategically forging partnerships to bolster their operational capacities. These collaborations involve the symbiotic utilization of each other's strengths and resources, aimed at securing mutual advantages and achieving collective success. A recent illustration of this trend occurred in October 2023 when VAST Data, a US-based technology company specializing in flash memory data storage, joined forces with Lambda, an expert in AI-optimized cloud solutions. The alliance seeks to fortify VAST Data's position in AI infrastructure by introducing an innovative hybrid cloud solution tailored specifically for AI and deep learning operations. This concerted effort positions VAST Data as the premier choice for specialized AI service providers, enhancing its leadership in AI infrastructure.

In July 2022, International Business Machines Corporation (IBM), a prominent player in information technology and AI infrastructure, made an undisclosed acquisition of Databand.ai. This strategic move is envisioned to augment IBM's product portfolio across data, AI, and automation domains, aiming to comprehensively address observability needs and facilitate organizations in ensuring secure and reliable data transactions. By integrating Databand.ai, an Israel-based AI infrastructure company, IBM aims to gain a competitive edge and reinforce its foothold in the market by offering enhanced and trustworthy AI-driven solutions.

Major companies operating in the ai infrastructure market report are Nvidia Corporation, Intel Corporation, Oracle Corporation, Samsung Group, Micron Technology Inc., Advanced Micro Devices Inc., International Business Machines Corporation, Google LLC, Microsoft Corporation, Amazon Web Services Inc., SK Hynix Inc., Cisco Systems Inc., Arm Limited, Xilinx Inc., Dell Inc., Synopsys Inc., Hewlett Packard Enterprise Company, Cadence Design Systems Inc., Toshiba Corporation, SenseTime Group Limited, Imagination Technologies Limited, Graphcore Limited, Habana Labs Limited, Meta Platforms Inc., Nutanix Inc., Pure Storage Inc., Wave Computing Inc., Tenstorrent Inc., Gyrfalcon Technology Inc., Cambricon Technologies Corporation Limited

North America was the largest region in the AI infrastructure market in 2023. Asia-Pacific is expected to be the fastest-growing region in the AI infrastructure market report forecast period. The regions covered in the ai infrastructure market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai infrastructure market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI infrastructure market includes revenues earned by entities by processor, storage memory, and software. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Table of Contents

1. Executive Summary

2. AI Infrastructure Market Characteristics

3. AI Infrastructure Market Trends And Strategies

4. AI Infrastructure Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global AI Infrastructure Market Size and Growth

  • 5.1. Global AI Infrastructure Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global AI Infrastructure Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global AI Infrastructure Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. AI Infrastructure Market Segmentation

  • 6.1. Global AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premises
  • Cloud
  • Hybrid
  • 6.2. Global AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hardware
  • Server Software
  • 6.3. Global AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Training
  • Inference
  • 6.4. Global AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine Learning
  • Deep Learning
  • 6.5. Global AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Enterprises
  • Government Organizations
  • Cloud Service Providers

7. AI Infrastructure Market Regional And Country Analysis

  • 7.1. Global AI Infrastructure Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global AI Infrastructure Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific AI Infrastructure Market

  • 8.1. Asia-Pacific AI Infrastructure Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China AI Infrastructure Market

  • 9.1. China AI Infrastructure Market Overview
  • 9.2. China AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI Infrastructure Market

  • 10.1. India AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan AI Infrastructure Market

  • 11.1. Japan AI Infrastructure Market Overview
  • 11.2. Japan AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia AI Infrastructure Market

  • 12.1. Australia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia AI Infrastructure Market

  • 13.1. Indonesia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea AI Infrastructure Market

  • 14.1. South Korea AI Infrastructure Market Overview
  • 14.2. South Korea AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe AI Infrastructure Market

  • 15.1. Western Europe AI Infrastructure Market Overview
  • 15.2. Western Europe AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK AI Infrastructure Market

  • 16.1. UK AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany AI Infrastructure Market

  • 17.1. Germany AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France AI Infrastructure Market

  • 18.1. France AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy AI Infrastructure Market

  • 19.1. Italy AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain AI Infrastructure Market

  • 20.1. Spain AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe AI Infrastructure Market

  • 21.1. Eastern Europe AI Infrastructure Market Overview
  • 21.2. Eastern Europe AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia AI Infrastructure Market

  • 22.1. Russia AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America AI Infrastructure Market

  • 23.1. North America AI Infrastructure Market Overview
  • 23.2. North America AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA AI Infrastructure Market

  • 24.1. USA AI Infrastructure Market Overview
  • 24.2. USA AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada AI Infrastructure Market

  • 25.1. Canada AI Infrastructure Market Overview
  • 25.2. Canada AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America AI Infrastructure Market

  • 26.1. South America AI Infrastructure Market Overview
  • 26.2. South America AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil AI Infrastructure Market

  • 27.1. Brazil AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East AI Infrastructure Market

  • 28.1. Middle East AI Infrastructure Market Overview
  • 28.2. Middle East AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa AI Infrastructure Market

  • 29.1. Africa AI Infrastructure Market Overview
  • 29.2. Africa AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. AI Infrastructure Market Competitive Landscape And Company Profiles

  • 30.1. AI Infrastructure Market Competitive Landscape
  • 30.2. AI Infrastructure Market Company Profiles
    • 30.2.1. Nvidia Corporation
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Intel Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Oracle Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Samsung Group
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Micron Technology Inc.
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Global AI Infrastructure Market Competitive Benchmarking

32. Global AI Infrastructure Market Competitive Dashboard

33. Key Mergers And Acquisitions In The AI Infrastructure Market

34. AI Infrastructure Market Future Outlook and Potential Analysis

  • 34.1 AI Infrastructure Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 AI Infrastructure Market In 2028 - Segments Offering Most New Opportunities
  • 34.3 AI Infrastructure Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35.4. Research Inquiries
  • 35.5. The Business Research Company
  • 35.6. Copyright And Disclaimer