AI Infrastructure Market Set to Skyrocket, Projected to Reach US$167.60 Billion by 2029
Robust Growth Fueled by Cloud Adoption, Demand for FPGA-Based Accelerators, and Cross-Industry Collaborations
In a groundbreaking revelation, the AI Infrastructure market is poised to hit a staggering US$167.60 billion by 2029, marking an impressive compound annual growth rate (CAGR) of 27.70% during the forecast period. This revelation comes as a result of a comprehensive analysis, factoring in the diverse impact of COVID-19 lockdowns across regions and segments.
Market Drivers and Restraints:
The driving forces behind this meteoric rise include the widespread adoption of cloud machine learning platforms, a surge in demand for FPGA-based accelerators, and an increasing focus on developing human-aware AI systems. Furthermore, the escalating demand for AI hardware in high-performance computing data centers, coupled with a growing number of cross-industry partnerships, collaborations, and expanding AI applications across sectors, including healthcare, automotive, and finance, contribute to the market’s upward trajectory.
However, challenges such as the scarcity of AI hardware experts, concerns regarding data privacy in AI platforms, and uncertainty about returns on investment are identified as restraining factors hampering the market’s growth.
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Segment Analysis:
The AI Infrastructure market is segmented into Deep Learning and Machine Learning technologies. Notably, deep learning technology is expected to dominate, exhibiting the highest market share with a robust CAGR. This is attributed to its ability to manage data consistently, learning from diverse sources and creating a consolidated data environment. The platform’s efficiency is highlighted by its ability to reduce the workload across various industries, including semiconductor and electronics, energy & power, pharmaceuticals, automotive, heavy metals and machine manufacturing, and food & beverages.
Market Scope and Key Players:
The market scope covers offerings such as hardware and software, types including on-premises, cloud, and hybrid, technologies encompassing machine learning and deep learning, and functions involving training and inference. Noteworthy key players in this dynamic landscape include Intel Corporation, NVIDIA Corporation, IBM, Samsung Electronics, Google, Microsoft, and others.
Regional Insights:
Geographically, North America takes the lead in the global AI infrastructure market, boasting the highest market share. The region’s dominance is fueled by a high adoption rate of AI-based servers and the presence of industry giants like IBM, Google, Microsoft, NVIDIA, Intel, Facebook, and Amazon.com. Their strong focus on investing in research and development activities for new technologies further propels the growth of the AI infrastructure market in North America.
Meanwhile, the Asia Pacific region is anticipated to experience the second-highest CAGR during the forecast period. Government reforms, such as the establishment of free trade in Shanghai, coupled with a growing demand for high-density, redundant facilities, are catalysts for the region’s impressive growth in AI infrastructure.
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