The AI Infrastructure Global Market Report 2023 by The Business Research Company, provides ai infrastructure market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten-year historic period – 2010-2021, and a ten-year forecast period – 2023-2032.
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According to The Business Research Company’s AI Infrastructure Global Market Report 2023, the 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 market size of global AI infrastructure is expected to grow to $128.25 billion in 2027 at a CAGR of 30.8%.
The increase in 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.
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The ai infrastructure market is segmented:
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
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.
The ai infrastructure market report table of contents includes:
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
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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
Top Major Players:
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