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AI Infrastructure Global Market Report 2023

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AI ÀÎÇÁ¶ó ¼¼°è ½ÃÀåÀº 2022³â 336¾ï 6,000¸¸ ´Þ·¯¿¡¼­ 2023³â¿¡´Â 437¾ï 7,000¸¸ ´Þ·¯¿¡ ´ÞÇϰí, CAGR 30.1%¸¦ ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ·¯½Ã¾Æ ¿ìÅ©¶óÀ̳ª ÀüÀïÀº Àû¾îµµ ´Ü±âÀûÀ¸·Î COVID-19 ÆÒµ¥¹ÍÀÇ ¼¼°è °æÁ¦ ȸº¹ÀÇ °¡´É¼ºÀ» È¥¶õ½ÃÄ×½À´Ï´Ù. ÀÌ µÎ ±¹°¡ °£ÀÇ ÀüÀïÀº ¿©·¯ ³ª¶ó¿¡ ´ëÇÑ °æÁ¦ Á¦Àç, »óǰ °¡°Ý »ó½Â, °ø±Þ¸Á È¥¶õÀ» ÃÊ·¡ÇÏ¿© »óǰ ¹× ¼­ºñ½º Àü¹Ý¿¡ ÀÎÇ÷¹À̼ÇÀ» ÀÏÀ¸ÄÑ ¼¼°è ¸¹Àº ½ÃÀå¿¡ ¿µÇâÀ» ¹ÌÃÆ½À´Ï´Ù. AI ÀÎÇÁ¶ó ½ÃÀåÀº 2027³â±îÁö CAGR 30.8%·Î ¼ºÀåÀ» Áö¼ÓÇÏ¿© 1,282¾ï 5,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

2022³â AI ÀÎÇÁ¶ó ½ÃÀå¿¡¼­´Â ºÏ¹Ì°¡ ÃÖ´ë Áö¿ªÀÌ µÇ¾ú½À´Ï´Ù. ¾Æ½Ã¾ÆÅÂÆò¾çÀº ¿¹Ãø ±â°£ µ¿¾È °¡Àå ºü¸£°Ô ¼ºÀåÇÏ´Â Áö¿ªÀÌ µÉ Àü¸ÁÀÔ´Ï´Ù. AI ÀÎÇÁ¶ó º¸°í¼­ÀÇ ´ë»ó Áö¿ªÀº ¾Æ½Ã¾ÆÅÂÆò¾ç, ¼­À¯·´, Áßµ¿ À¯·´, ºÏ¹Ì, ³²¹Ì, Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÔ´Ï´Ù.

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Á¦1Àå ÁÖ¿ä ¿ä¾à

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Á¦4Àå AI ÀÎÇÁ¶ó ½ÃÀå - °Å½Ã°æÁ¦ ½Ã³ª¸®¿À

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Á¦7Àå AI ÀÎÇÁ¶ó ½ÃÀå Áö¿ª ¹× ±¹°¡º° ºÐ¼®

  • ¼¼°èÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Áö¿ªº°, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • ¼¼°è AI ÀÎÇÁ¶ó ½ÃÀå, ±¹°¡º°, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦8Àå ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ AI ÀÎÇÁ¶ó ½ÃÀå °³¿ä
  • Áö¿ª Á¤º¸, COVID-19ÀÇ ¿µÇâ, ½ÃÀå Á¤º¸, ¹è°æ Á¤º¸, Á¤ºÎÀÇ ÀÌ´Ï¼ÅÆ¼ºê, ±ÔÁ¦, ±ÔÁ¦ ±â°ü, ÁÖ¿ä ´Üü, °ú¼¼µÇ´Â ¼¼±Ý, ¹ýÀμ¼ ±¸Á¶, ÅõÀÚ, ÁÖ¿ä ±â¾÷
  • ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦9Àå Áß±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • Áß±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå °³¿ä
  • Áß±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • Áß±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦10Àå ÀεµÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ÀεµÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • ÀεµÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦11Àå ÀϺ»ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ÀϺ»ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • ÀϺ»ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â

Á¦12Àå È£ÁÖ AI ÀÎÇÁ¶ó ½ÃÀå

  • È£ÁÖ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • È£ÁÖ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦13Àå Àεµ³×½Ã¾ÆÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • Àεµ³×½Ã¾ÆÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • Àεµ³×½Ã¾ÆÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦14Àå Çѱ¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • Çѱ¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • Çѱ¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦15Àå ¼­À¯·´ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ¼­À¯·´ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå °³¿ä
  • ¼­À¯·´ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • ¼­À¯·´ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F

Á¦16Àå ¿µ±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ¿µ±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • ¿µ±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦17Àå µ¶ÀÏÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • µ¶ÀÏÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
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Á¦18Àå ÇÁ¶û½ºÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ÇÁ¶û½ºÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
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Á¦19Àå µ¿À¯·´ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

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  • µ¿À¯·´ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
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Á¦20Àå ·¯½Ã¾Æ AI ÀÎÇÁ¶ó ½ÃÀå

  • ·¯½Ã¾ÆÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027³â, 2032³â
  • ·¯½Ã¾ÆÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦21Àå ºÏ¹ÌÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

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  • ºÏ¹Ì AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
  • ºÏ¹ÌÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦22Àå ¹Ì±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

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  • ¹Ì±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F
  • ¹Ì±¹ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå, ÃÖÁ¾ »ç¿ëÀÚº° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022³â, 2022-2027F, 2032F

Á¦23Àå ³²¹ÌÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

  • ³²¹Ì AI ÀÎÇÁ¶ó ½ÃÀå °³¿ä
  • ³²¹Ì AI ÀÎÇÁ¶ó ½ÃÀå, Á¦Ç°º° ¼¼ºÐÈ­, ½ÇÀû°ú ¿¹Ãø, 2017-2022, 2022-2027F, 2032F
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Á¦24Àå ºê¶óÁúÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

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Á¦26Àå ¾ÆÇÁ¸®Ä«ÀÇ AI ÀÎÇÁ¶ó ½ÃÀå

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Á¦27Àå AI ÀÎÇÁ¶ó ½ÃÀå °æÀï ±¸µµ¿Í ±â¾÷ ÇÁ·ÎÆÄÀÏ

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    • Nvidia Corporation
    • Intel Corporation
    • Oracle Corporation
    • »ï¼º±×·ì
    • Micron Technology Inc

Á¦28Àå AI ÀÎÇÁ¶ó ½ÃÀåÀÇ ÁÖ¿ä ÇÕº´ ¹× Àμö

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LSH 23.05.04

“AI Infrastructure Global Market Report 2023 ” 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

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • 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; The Samsung Group; Micron Technology Inc
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA
  • 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

Major players in the ai infrastructure market are: Nvidia Corporation, Intel Corporation, Oracle Corporation, The 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., The 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, and MIPS Technologies Inc.

The global AI infrastructure market is expected to grow from $33.66 billion in 2022 to $43.77 billion in 2023 at a compound annual growth rate (CAGR) of 30.1%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The AI infrastructure market is expected to grow to $128.25 billion in 2027 at a CAGR of 30.8%.

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.

AI infrastructure refers to IT infrastructure that is used to collect data from various systems and prepare for its analysis and it is used to predict outcomes, automate administrative tasks, and enhance working with software-defined infrastructure technologies. The AI infrastructure are used to access and manage the computing resources to test, train and deploy AI algorithms to manage machine learning workflow.

North America was the largest region in the AI infrastructure market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI infrastructure report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The main offerings of AI infrastructure are hardware, and server software. Hardware refers to the physical parts of a computer and related devices. The functions are training and inference. The technologies involved machine learning and deep learning. The deployment types are on-premises, cloud, and hybrid. The various end users included enterprises, government organizations, and cloud service providers.

The increasing data traffic and need for high computing power are expected to propel the growth of the AI infrastructure market going forward. Data traffic refers to the amount of data moving across a computer network at any given time. In contrast, high computing power refers to the ability of systems to process data and perform complex calculations at high speeds. HPC infrastructure helps AI models with storage, networking, and data processing to make AI projects work at scale by processing workloads quickly, significantly speeding up the training stage, and boosting the accuracy and reliability of AI models in minimum time. For instance, in June 2022, according to Ericsson, a Sweden-based networking and telecommunications company, the company reported that mobile network data traffic grew 10% between the fourth quarter of 2021 and the first quarter of 2022. For the year-over-year comparison, that growth reached 40%. Further, in May 2022, according to International Data Corporation (IDC), a US-based advisory services provider in information technology and telecommunications, approximately 50% of startups in Asia-Pacific focus on high-performance computing infrastructure to address genomic Data challenges in life sciences due to its high computing capabilities. Therefore, the increasing data traffic and need for high computing power are driving the growth of the AI infrastructure market.

Technological advancement is the key trend that is gaining popularity in the AI infrastructure market. Major companies operating in the AI infrastructure market are focused on developing new technological solutions to strengthen their position. For instance, in June 2021, Nvidia Corporation, a US-based company operating in AI infrastructure, introduced NVIDIA AI Launchpad, an end-to-end, cloud-native suite of AI and data analytics software, to streamline the entire AI lifecycle and deploy AI infrastructure quicker and support every aspect of AI virtually such as data center training and inference to full-scale deployment at the edge. Moreover, NVIDIA AI LaunchPad is compatible with GPUs and DPUs-based systems, and this combination will help enterprises with the ability to accelerate AI workloads and also advantage of security, isolation, and performance enhancements provided by DPUs.

In July 2022, International Business Machines Corporation, a US-based company operating in information technology and services such as AI infrastructure acquired Databand.ai for an undisclosed amount. With this acquisition, International Business Machines Corporation aims to strengthen its product portfolio in data, AI, and automation to address the full spectrum of observability and help organizations with trustworthy data transactions, and gain a competitive advantage in the market. Databand.ai is an Israel-based company operating in AI infrastructure.

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

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.

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.

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

5. AI Infrastructure Market Size And Growth

  • 5.1. Global AI Infrastructure Historic Market, 2017-2022, $ Billion
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints On The Market
  • 5.2. Global AI Infrastructure Forecast Market, 2022-2027F, 2032F, $ Billion
    • 5.2.1. Drivers Of The Market
    • 5.2.2. Restraints On the Market

6. AI Infrastructure Market Segmentation

  • 6.1. Global AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • Hardware
  • Server Software
  • 6.2. Global AI Infrastructure Market, Segmentation By Function, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • Training
  • Inference
  • 6.3. Global AI Infrastructure Market, Segmentation By Technology, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • Machine Learning
  • Deep Learning
  • 6.4. Global AI Infrastructure Market, Segmentation By Deployment Type, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • On-Premises
  • Cloud
  • Hybrid
  • 6.5. Global AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ 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, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 7.2. Global AI Infrastructure Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ 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 Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 8.3. Asia-Pacific AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

9. China AI Infrastructure Market

  • 9.1. China AI Infrastructure Market Overview
  • 9.2. China AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
  • 9.3. China AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion

10. India AI Infrastructure Market

  • 10.1. India AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 10.2. India AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

11. Japan AI Infrastructure Market

  • 11.1. Japan AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 11.2. Japan AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

12. Australia AI Infrastructure Market

  • 12.1. Australia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 12.2. Australia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

13. Indonesia AI Infrastructure Market

  • 13.1. Indonesia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 13.2. Indonesia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

14. South Korea AI Infrastructure Market

  • 14.1. South Korea AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 14.2. South Korea AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

15. Western Europe AI Infrastructure Market

  • 15.1. Western Europe AI Infrastructure Market Overview
  • 15.2. Western Europe AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 15.3. Western Europe AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

16. UK AI Infrastructure Market

  • 16.1. UK AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 16.2. UK AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

17. Germany AI Infrastructure Market

  • 17.1. Germany AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 17.2. Germany AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

18. France AI Infrastructure Market

  • 18.1. France AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 18.2. France AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

19. Eastern Europe AI Infrastructure Market

  • 19.1. Eastern Europe AI Infrastructure Market Overview
  • 19.2. Eastern Europe AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 19.3. Eastern Europe AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

20. Russia AI Infrastructure Market

  • 20.1. Russia AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 20.2. Russia AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

21. North America AI Infrastructure Market

  • 21.1. North America AI Infrastructure Market Overview
  • 21.2. North America AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 21.3. North America AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

22. USA AI Infrastructure Market

  • 22.1. USA AI Infrastructure Market Overview
  • 22.2. USA AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 22.3. USA AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

23. South America AI Infrastructure Market

  • 23.1. South America AI Infrastructure Market Overview
  • 23.2. South America AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 23.3. South America AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

24. Brazil AI Infrastructure Market

  • 24.1. Brazil AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 24.2. Brazil AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

25. Middle East AI Infrastructure Market

  • 25.1. Middle East AI Infrastructure Market Overview
  • 25.2. Middle East AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 25.3. Middle East AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

26. Africa AI Infrastructure Market

  • 26.1. Africa AI Infrastructure Market Overview
  • 26.2. Africa AI Infrastructure Market, Segmentation By Offerings, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
  • 26.3. Africa AI Infrastructure Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

27. AI Infrastructure Market Competitive Landscape And Company Profiles

  • 27.1. AI Infrastructure Market Competitive Landscape
  • 27.2. AI Infrastructure Market Company Profiles
    • 27.2.1. Nvidia Corporation
      • 27.2.1.1. Overview
      • 27.2.1.2. Products and Services
      • 27.2.1.3. Strategy
      • 27.2.1.4. Financial Performance
    • 27.2.2. Intel Corporation
      • 27.2.2.1. Overview
      • 27.2.2.2. Products and Services
      • 27.2.2.3. Strategy
      • 27.2.2.4. Financial Performance
    • 27.2.3. Oracle Corporation
      • 27.2.3.1. Overview
      • 27.2.3.2. Products and Services
      • 27.2.3.3. Strategy
      • 27.2.3.4. Financial Performance
    • 27.2.4. The Samsung Group
      • 27.2.4.1. Overview
      • 27.2.4.2. Products and Services
      • 27.2.4.3. Strategy
      • 27.2.4.4. Financial Performance
    • 27.2.5. Micron Technology Inc
      • 27.2.5.1. Overview
      • 27.2.5.2. Products and Services
      • 27.2.5.3. Strategy
      • 27.2.5.4. Financial Performance

28. Key Mergers And Acquisitions In The AI Infrastructure Market

29. AI Infrastructure Market Future Outlook and Potential Analysis

30. Appendix

  • 30.1. Abbreviations
  • 30.2. Currencies
  • 30.3. Historic And Forecast Inflation Rates
  • 30.4. Research Inquiries
  • 30.5. The Business Research Company
  • 30.6. Copyright And Disclaimer
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