PUBLISHER: The Business Research Company | PRODUCT CODE: 1889293
PUBLISHER: The Business Research Company | PRODUCT CODE: 1889293
Artificial intelligence datacenters are specialized facilities designed to handle large-scale AI workloads, including machine learning, deep learning, and data analytics. They are equipped with high-performance computing resources to process massive datasets efficiently. These datacenters accelerate AI model training and inference, enabling faster insights, predictions, and automation for businesses and research.
The main components of artificial intelligence datacenters are hardware, software, and services. Hardware includes computing and networking components such as servers, storage, switches, and power/cooling infrastructure that support AI workloads. Datacenter types include hyperscale, colocation, edge, and others. These solutions serve industries including healthcare, retail, information technology, telecom, banking, financial services and insurance, automotive, media and entertainment, manufacturing, and others.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The artificial intelligence (AI) datacenters market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) datacenters market statistics, including artificial intelligence (AI) datacenters industry global market size, regional shares, competitors with an artificial intelligence (AI) datacenters market share, detailed artificial intelligence (AI) datacenters market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) datacenters industry. This artificial intelligence (AI) datacenters market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI) datacenters market size has grown exponentially in recent years. It will grow from $16.57 billion in 2024 to $21.44 billion in 2025 at a compound annual growth rate (CAGR) of 29.4%. The growth in the historic period can be attributed to rising demand for high-performance computing, growing cloud service deployment, increasing investments in data center infrastructure, higher need for energy-efficient solutions, and growing demand for automated operations.
The artificial intelligence (AI) datacenters market size is expected to see exponential growth in the next few years. It will grow to $59.39 billion in 2029 at a compound annual growth rate (CAGR) of 29.0%. The growth in the forecast period can be attributed to rising deployment of edge and cloud AI services, expansion of enterprise AI workloads, increasing focus on energy-efficient AI infrastructure, and greater need for scalable computing solutions. Key trends in the forecast period include advancements in tensor processing units, innovations in AI hardware and software, developments in energy-efficient data center designs, research and development in AI workload optimization, and increasing automation of data center operations.
The increasing generation of data is expected to drive the growth of the artificial intelligence (AI) data center market in the coming years. Data generation involves creating new real or synthetic data for analysis, model development, or testing. Data generation is rising as organizations rely on large, diverse, and high-quality datasets to train advanced AI systems, improve predictive accuracy, address data scarcity, and simulate real-world scenarios without depending solely on sensitive or hard-to-obtain information. AI data centers support this process by providing high-performance computing, scalable storage, and fast processing to efficiently manage large volumes of data. For example, in February 2025, SOAX Ltd. reported that in 2024, approximately 402.89 million terabytes of data were created, captured, copied, or consumed each day, totaling 147 zettabytes annually, with expectations to reach 181 zettabytes by 2025. This rise in data generation is driving the growth of the AI data center market.
Major companies operating in the artificial intelligence (AI) datacenters market are developing advanced products, such as fifth-generation tensor processing units (TPUs), to increase computational efficiency, boost processing power, and reduce operational costs and energy use. Fifth-generation TPUs are integrated circuits designed to accelerate AI workloads, especially for training and running large machine learning models. In May 2024, Google LLC, a US-based technology company, launched the Trillium chip, a fifth-generation TPU that improves AI performance fivefold compared to its predecessor. The chip increases computational power and memory bandwidth for demanding AI models, optimizing performance in Google AI datacenters for both training and inference while improving energy efficiency.
In March 2025, Advanced Micro Devices Inc., a US-based semiconductor company, acquired ZT Systems for an undisclosed amount. The acquisition combines AMD's AI and high-performance processors with ZT Systems' data center expertise to enhance AI infrastructure solutions for cloud providers and enterprises. ZT Systems is a US-based hardware company providing AI-ready servers and infrastructure for artificial intelligence data centers.
Major companies operating in the ai datacenters market areAmazon Web Services Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Cloud Computing Co. Ltd., NTT Communications Corporation, Dell Technologies Inc., International Business Machines Corporation, NVIDIA Corporation, Cisco Systems Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, Equinix Inc., Digital Realty Trust Inc., Arista Networks Inc., Stack Infrastructure Inc., QTS Realty Trust LLC, CyrusOne Inc., and G42 Holding Limited.
North America was the largest region in the artificial intelligence (AI) datacenters market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the urban landscaping market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) datacenters market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) datacenters market consists of revenues earned by entities by providing services such as AI model training and inference services, data storage and processing, performance monitoring and analytics, and AI workload optimization solutions. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) datacenters market also includes sales of high-performance servers, graphics processing units (GPUs), tensor processing units (TPUs), AI-optimized storage systems, networking equipment, cooling and power management solutions, and software platforms. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
AI Datacenters Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on ai datacenters market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for ai datacenters ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai datacenters market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.