Global AI Data Center Market Size To Exceed USD 125.81 Billion By 2033 | CAGR of 25.68%

Category: Information & Technology

RELEASE DATE Apr 2025
REPORT ID SI10002

Global AI Data Center Market Size To Exceed USD 125.81 Billion By 2033

According to a research report published by Spherical Insights & Consulting, the Global AI Data Center Market Size is Expected to Grow from USD 12.80 Billion in 2023 to USD 125.81 Billion by 2033, at a CAGR of 25.68% during the Forecast period 2023-2033.

Global AI Data Center Market

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Browse key industry insights spread across 250 pages with 120 Market data tables and figures & charts from the report on the "Global AI Data Center  Market Size, Share, and COVID-19 Impact Analysis, By Component (Hardware, Software, and Services), By Data Center Type (Hyperscale Data Centers, Enterprise Data Centers, Colocation Data Centers, Edge Data Centers and Modular & Portable Data Centers), By Industry (Healthcare, Retail, IT and Telecom, BFSI, Automotive and Media & Entertainment), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033." Get Detailed Report Description Here: https://www.sphericalinsights.com/reports/ai-data-center-market

 

The AI data center market is the portion of the data center market that deals with infrastructure, hardware, software, and services specifically designed to support artificial intelligence (AI) applications. Moreover, as AI technology such as machine learning, deep learning, and natural language processing expands to more industries, the demand for AI data centers to handle and analyze large amounts of data has grown substantially. These applications need vast computational capabilities, which AI data centers can readily supply. Progress in custom-made AI hardware in the form of GPUs, TPUs, and AI accelerators has enabled data centers to cope with the huge computational needs of AI workloads more economically and practically. With these advances, data centers can handle machine learning models, deep learning algorithms, and real-time processing more effectively. However, establishing and operating AI data centers demands massive investments in purpose-built hardware like GPUs and AI accelerators as well as state-of-the-art infrastructure. The exorbitant upfront capital costs involved in the establishment of AI-fueled data centers pose a significant deterrent for small and medium-sized businesses (SMEs) as well as start-ups.

 

The hardware segment dominated the market in 2023 and is projected to grow at a substantial CAGR during the forecast period.

Based on the components, the AI data center market is divided into hardware, software, and services. Among these, the hardware segment dominated the market in 2023 and is projected to grow at a substantial CAGR during the forecast period. The growth is driven by AI-focused hardware such as GPUs and high-end processors are developed to accommodate the processing needs of AI workloads. The widening need for AI across industries like healthcare, automotive, and finance has propelled more spending on sophisticated hardware to host such applications in data centers.

 

The hyperscale data centers segment accounted for a significant share in 2023 and is anticipated to grow at a remarkable CAGR during the forecast period.

Based on the data center type, the AI data center market is divided into hyperscale data centers, enterprise data centers, colocation data centers, edge data centers, and modular & portable data centers. Among these, the hyperscale data centers segment accounted for a significant share in 2023 and is anticipated to grow at a remarkable CAGR during the forecast period. The segmental growth is due to hyperscale data centers yield considerable cost savings because they can run at a gigantic scale. Due to their immense size, they can gain economies of scale and become cheaper to run AI workloads than smaller data centers.

 

The IT and telecom segment accounted for the biggest share in 2023 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the industry, the AI data center market is divided into healthcare, retail, It and telecom, BFSI, automotive, and media & entertainment. Among these, the IT and telecom segment accounted for the biggest share in 2023 and is anticipated to grow at a significant CAGR during the forecast period. The growth is attributed to AI technologies enabling IT and telecom organizations to streamline data center management, and automate processes such as load balancing, cooling, and power consumption, resulting in more efficient and cost-saving infrastructure.

 

North America is expected to hold the majority share of the global AI data center market during the forecast period.

Global AI Data Center Market

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North America is expected to hold the majority share of the global AI data center market during the forecast period. North American companies in industries like healthcare, finance, automotive, retail, and entertainment were the first to adopt AI technologies. The broad use of AI tools and machine learning applications has fueled the need for data centers that can support massive AI workloads ranging from training AI models to real-time analytics. The wide adoption of AI in cloud services such as AWS, Microsoft Azure, and Google Cloud also drives the demand for dedicated AI infrastructure.

 

Asia Pacific is anticipated to grow at the fastest pace in the global AI data center market during the forecast period. Asia-Pacific nations like China, India, Japan, and South Korea are witnessing fast-paced digital transformation. AI technologies are being implemented across sectors like manufacturing, healthcare, finance, e-commerce, and logistics. Such fast-paced digitalization creates a demand for AI-driven data centers that can facilitate large-scale data processing, storage, and analysis.

 

Major vendors in the global AI data center market are Advanced Micro Devices, Inc., Amazon Web Services, Inc., Arista Networks, Inc., Cisco Systems, Inc., Dell Technologies, Google LLC, Hewlett Packard Enterprise Development LP, Hitachi Vantara LLC, Intel Corporation, International Business Machines Corporation, Others.

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting and Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Key Market Development 

  • In April 2025, Huawei introduced the CloudMatrix 384 Supernode, a cutting-edge AI infrastructure system with 384 Ascend 910C chips and 300 petaflops of computing power, besting Nvidia's GB200 NVL72. In Wuhu data centers, it showcase China's advancement in high-performance AI infrastructure.

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2023 to 2033. Spherical Insights has segmented the AI data center market based on the below-mentioned segments:

 

Global AI Data Center Market, By Component

  • Hardware
  • Software
  • Services

 

Global AI Data Center Market, By Data Center Type

  • Hyperscale Data Centers
  • Enterprise Data Centers
  • Colocation Data Centers
  • Edge Data Centers
  • Modular & Portable Data Centers

 

Global AI Data Center Market, By Industry

  • Healthcare 
  • Retail
  • IT and Telecom
  • BFSI
  • Automotive
  • Media & Entertainment

 

Global AI Data Center Market, By Regional Analysis

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • UAE
    • Saudi Arabia
    • Qatar
    • South Africa
    • Rest of the Middle East & Africa

 

About the Spherical Insights & Consulting

Spherical Insights & Consulting is a market research and consulting firm which provides actionable market research study, quantitative forecasting and trends analysis provides forward-looking insight especially designed for decision makers and aids ROI.

Which is catering to different industry such as financial sectors, industrial sectors, government organizations, universities, non-profits and corporations. The company's mission is to work with businesses to achieve business objectives and maintain strategic improvements. 

 

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