PUBLISHER: Polaris Market Research | PRODUCT CODE: 1745867
PUBLISHER: Polaris Market Research | PRODUCT CODE: 1745867
The AI data center market size is expected to reach USD 153.23 billion by 2034, according to a new study by Polaris Market Research. The report "By Component (Hardware and Software), Data Center Type, Industry, and Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Market Forecast, 2025-2034" gives a detailed insight into current market dynamics and provides analysis on future market growth.
An AI data center is a specialized facility designed to support the high-performance computing, storage, and networking needs required to run artificial intelligence and machine learning workloads efficiently.
Advancements in AI hardware are driving the demand for AI data centers. AI tasks require specialized hardware that can handle complex calculations at high speeds. Over the years, new and more powerful chips, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and custom-built AI processors, have been developed to meet this need. These hardware innovations enable AI models to train more quickly and operate more efficiently. To fully benefit from these technologies, data centers are being redesigned to support and cool high-performance chips, driving the need for modern, AI-ready facilities with advanced infrastructure. This, in turn, is fueling the growth of the AI data center market.
AI workloads consume a significant amount of power, particularly when training large models or running data-intensive applications. This raises both environmental concerns and operational costs for companies. To tackle this, AI data centers are implementing energy-efficient solutions, including liquid cooling systems, optimized rack designs, and smart power management tools. These changes help reduce electricity use, lower carbon emissions, and improve overall performance. Sustainability is becoming a priority, especially as governments and organizations push for greener operations. This focus on energy efficiency is encouraging the growth of AI-specific data centers, which are built with sustainability in mind.
In 2024, the hardware segment dominated the AI data center market due to the critical role that high-performance computing hardware, such as GPUs, TPUs, and AI-optimized processors, plays in supporting AI workloads.
The hyperscale data center segment is expected to witness the fastest growth during the forecast period due to growing data traffic worldwide.
In 2024, North America dominated the market, driven by the region's strong technological infrastructure and early adoption of AI applications.
Asia Pacific is expected to record a significant share during the forecast period, fueled by the increasing demand for AI applications in countries such as China, Japan, and South Korea.
The global key market players are Amazon Web Service.; CyrusOne; Digital Realty Trust, Inc.; Equinix, Inc.; IBM; Intel Corporation; Microsoft Corporation; NTT Communications; NVIDIA Corporation; Oracle Corporation; QTS Realty Trust, LLC; and Stack Infrastructure.
Polaris Market Research has segmented AI data center market report based on component, data center type, industry, and region:
By Component (Revenue - USD Billion, 2020-2034)
Hardware
Software
By Data Center Type (Revenue - USD Billion, 2020-2034)
Hyperscale Data Center
Colocation Data Center
Edge Data Center
Others
By Industry (Revenue - USD Billion, 2020-2034)
Healthcare
Retail
IT and Telecom
BFSI
Automotive
Media & Entertainment
Manufacturing
Others
By Regional Outlook (Revenue - USD Billion, 2020-2034)
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Netherlands
Russia
Rest of Europe
Asia Pacific
China
Japan
India
Malaysia
South Korea
Indonesia
Australia
Rest of Asia Pacific
Middle East & Africa
Saudi Arabia
UAE
Israel
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America