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AI Infrastructure market is expected to grow from USD 23.7 billion in 2021 to USD 79.3 billion by 2026, at a CAGR of 27.3%. The market growth can be attributed to several factors, such as increased data traffic and need for high computing power, increasing adoption of cloud machine learning platform, increasingly large and complex dataset, rising focus on parallel computing in AI data centers, and growing number of cross-industry partnerships and collaborations.
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MarketsandMarkets Presents AI Infrastructure Market to Reach to make $79.3 billion through 2026 AI Infrastructure Market with COVID-19 Impact Analysis by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud), End User, and Region - Global Forecast to 2026 https://www.marketsandmarkets.com/Market-Reports/ai-infrastructure-market-38254348.html
According to the new market research report "AI Infrastructure Market with COVID-19 Impact Analysis by Offering (Hardware, Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-Premises, Cloud), End User, and Region - Global Forecast to 2026", published by MarketsandMarkets™, the AI Infrastructure market is expected to grow from USD 23.7 billion in 2021 to USD 79.3 billion by 2026, at a CAGR of 27.3%. The market growth can be attributed to several factors, such as increased data traffic and need for high computing power, increasing adoption of cloud machine learning platform, increasingly large and complex dataset, rising focus on parallel computing in AI data centers, and growing number of cross-industry partnerships and collaborations. Browse 169 market data Tables and 60 Figres spread through 238 Pages and in-depth TOC on "AI Infrastructure Market with COVID-19 Impact Analysis - Global Forecast to 2026"
Hardware to account for the largest share of AI infrastructure market in 2021 The hardware segment is sub-segmented into a processor, memory, storage, and networking (switches, routers, and other equipment used to link servers in the cloud and connect edge devices). NVIDIA (US), Intel (US), Micron (US), Xilinx (US), Google (US), Samsung (South Korea), and Graphcore (UK) are a few of the companies that develop hardware needed for AI. The increasing need for hardware platforms with high computing power to run various AI software is a key factor fueling the growth of the AI infrastructure market. Ask PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=38254348 Machine learning technology held the largest share of AI infrastructure market in 2020 Machine learning enables systems to learn without being explicitly programmed. This technology can reliably and quickly scan, parse, and react to anomalies. Machine learning enables systems to automatically improve their performance with experiences. Recently, AI and machine learning have been widely adopted to tackle the COVID-19 crisis. Several organizations are using machine learning to scale up customer communications, understand the spread of COVID-19, and help accelerate research and treatment processes.
North America is leading the market for AI infrastructure in 2020 North America accounts for the largest share of the global AI infrastructure market, and a similar trend is likely to continue in the near future. The US and Canada are expected to adopt AI-based servers at a high rate. These countries are technologically developed economies in North America owing to their strong focus on investing in R&D activities for the development of new technologies. The US is one of the leading countries in the world to adopt AI technology.
COVID-19 Impact on the Global AI Infrastructure Market The COVID-19 pandemic is an accelerator for AI technology, helping people around the world get more and more comfortable with leveraging these tools for many applications, including healthcare. The adoption of remote patient monitoring, decoding genomic sequence for drug development, healthcare chatbots, and enhancement of CT scans using AI technology in diagnosis is expected to gain momentum during and after the COVID-19 pandemic. Post-COVID-19, the manufacturing sector is expected to adopt smart manufacturing processes using AI, IoT, and blockchain technologies. Companies can reduce costs, increase process efficiency, and reduce human contact significantly by adopting these technologies. Currently, AI is being used for predictive maintenance and will further be implemented to forecast demand and returns in the supply chain. Request Free Sample Pages: https://www.marketsandmarkets.com/requestsampleNew.asp?id=38254348 Some of the key companies operating in the market are Intel Corporation (US), NVIDIA Corporation (US), IBM (US), Xilinx (US), Advanced Micro Devices (AMD) (US), Samsung Electronics (South Korea), Micron Technology (US), Google (US), Microsoft (US), Amazon Web Services (US) and so on.
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