According to a research report "AI Infrastructure Market by Offering (Hardware, Server Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-premises, Hybrid, Cloud), End user and Region - Global Forecast to 2027" published by MarketsandMarkets, the global AI infrastructure market is projected to grow from USD 28.7 billion in 2022 to USD 96.6 billion by 2027, at a CAGR of 27.5% during the forecast period from 2022 to 2027.
The growth of this market is driven by factors such as increased data traffic and need for high computing power, increasing adoption of cloud-based machine learning platforms, increasingly large and complex dataset, rising focus on parallel computing in AI data centers, growing number of cross-industry partnerships and collaborations, and increasing adoption of AI due to the COVID-19 pandemic.
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Inference segment to account for the largest market share and highest growth rate in AI infrastructure market during the forecast period
Inference holds the larger market share with highest growth rate and is expected to retain its position during the forecast period. Inference is sensitive to latency, and the trained model needs to analyze and provide analysis in near real-time. The requirement of the infrastructure for model deployment to process data at the fastest rate is expected to drive the market for inference.
Cloud service providers segment is expected to grow with the highest CAGR in AI infrastructure market during the forecast period
The cloud service providers segment holds the largest market share and is also projected to register the highest CAGR during the forecast period. Cloud services drive cost-saving and support digital business transformation. Hence, the adoption of cloud services is high in the AI infrastructure space.
North America accounts for the largest market share of the AI infrastructure market in 2022
North America accounts for the largest market share of the AI infrastructure market in 2022 and is expected to register a CAGR of 26.5% during the forecast period. Amid the COVID-19 pandemic, many countries across the world have adopted AI to accelerate the development of drugs/vaccines, patient health monitoring, and resolving queries through AI chatbots. For example, in the US, MIT-IBM Watson AI Lab (Massachusetts, US) is funding ten projects to address the health and economic consequence of the COVID-19 pandemic. These ten projects include early detection of sepsis in COVID-19 patients, designing proteins to block SARS-COV-2, treating COVID-19 patients with repurposed drugs, contact tracing, and analyzing EMRs. This large-scale adoption during the pandemic has helped the market for AI infrastructure to grow and is also expected to witness strong growth by 2027.