Press release
AI Infrastructure Market 2023 - By Size, Trend Analysis, Leading Players And Global Forecast To 2032
AI Infrastructure Market
The Business Research Company's AI Infrastructure Global Market Report 2023 identifies increase in data traffic and need for high computing power as the major driver for the AI Infrastructure market's growth in the forecast period. 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.
The global AI infrastructure market size 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 size is expected to grow to $128.25 billion in 2027 at a CAGR of 30.8%.
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Major competitors 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.
A key trend in the AI Infrastructure market includes technological advancement. 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.
Read More On The Global AI Infrastructure Market Report Here:
https://www.thebusinessresearchcompany.com/report/ai-infrastructure-global-market-report
The AI Infrastructure market is segmented -
• By Offerings: Hardware, Server Software
• By Function: Training, Inference
• By Technology: Machine Learning, Deep Learning
• By Deployment Type: On-Premises, Cloud, Hybrid
• By End User: Enterprises, Government Organizations, Cloud Service Providers
• By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. North America was the largest region in the AI Infrastructure market.
The Business Research Company's "Global AI Infrastructure Market Report 2023" provides a thorough understanding of the market across 60 geographies. The report covers market size, growth rate, segments, drivers and trends in every region and country. In addition, the report offers insights on historical and forecast growth, helping players analyze and strategize better.
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The Table Of Content For The AI Infrastructure Market Include:
1. Executive Summary
2. AI Infrastructure Market Characteristics
3. AI Infrastructure Market Trends And Strategies
4. AI Infrastructure Market - Macro Economic Scenario
5. AI Infrastructure Market Size And Growth
…………………………………
26. Africa AI Infrastructure Market
27. AI Infrastructure Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The AI Infrastructure Market
29. AI Infrastructure Market Future Outlook and Potential Analysis
30. Appendix
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