Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
AI Infrastructure Market Size Forecast: How Big Could The Market Get By 2030?
In recent years, the AI infrastructure market size has experienced exponential growth. This market is projected to expand from $71.88 billion in 2025 to $90.91 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 26.5%. The past growth can be attributed to several factors, including the surge in enterprise AI experimentation, the expanding availability of big data sources, the broader embrace of cloud computing, advancements in data center technologies, and the increasing deployment of machine learning applications.
The AI infrastructure market is poised for significant growth over the coming years. Its valuation is projected to reach $226.95 billion in 2030, expanding at a compound annual growth rate (CAGR) of 25.7%. This expansion during the forecast period is driven by factors such as greater investments in generative AI platforms, an escalating need for real-time AI inference capabilities, the broadening of edge computing applications, a heightened emphasis on energy-efficient AI infrastructure, and the increased adoption of hybrid cloud AI environments. Key trends anticipated within this period involve a surging demand for high-performance AI compute infrastructure, wider uptake of GPU and accelerator-based systems, the increasing implementation of hybrid AI infrastructure models, the proliferation of edge AI infrastructure, and an intensified focus on scalable AI workloads.
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AI Infrastructure Market Development Factors: What’s Supporting Demand?
The AI infrastructure market is anticipated to experience growth driven by the rising volume of data traffic and the increasing demand for high computing power. Data traffic refers to the flow of digital information across a network, encompassing all data transmitted and received among devices, servers, and applications. This surge in data traffic and the escalating need for substantial computing power stem from growing internet penetration, as more users and connected devices generate immense quantities of data that require advanced processing and storage capabilities. AI infrastructure addresses this by providing scalable storage, high-speed processing units, and sophisticated networking systems, which enable the efficient management and analysis of vast datasets. For instance, the International Telecommunication Union, a Switzerland-based specialized agency, reported in November 2024 that global mobile broadband traffic for end-user internet usage surpassed 1 zettabyte in 2023, with projections to grow to approximately 1.3 zettabytes in 2024. In contrast, fixed broadband traffic is expected to increase from 5.1 zettabytes in 2023 to about 6 zettabytes in 2024. Thus, the increasing data traffic and the ongoing need for high computing power are propelling the growth of the AI infrastructure market.
AI Infrastructure Market Segment Breakdown: Which Categories Lead On Revenue?
The AI infrastructure market covered in this report is segmented –
1) By Offerings: Hardware, Server Software
2) By Function: Training, Inference
3) By Technology: Machine Learning, Deep Learning
4) By Deployment Type: On-Premises, Cloud, Hybrid
5) By End User: Enterprises, Government Organizations, Cloud Service Providers
Subsegments:
1) By Hardware: Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), AI Accelerators, Edge Devices, Data Center Infrastructure
2) By Server Software: AI Frameworks, Machine Learning Platforms, Data Management And Integration Software, Model Development Tools, Deployment And Monitoring Tools
AI Infrastructure Market Transformation Trends: What Innovations Are Driving Change?
Leading entities within the AI infrastructure market are directing their efforts towards progressing technologies like the artificial intelligence of things (IoT), with the aim of boosting operational effectiveness, refining data analysis abilities, and facilitating the smooth incorporation of AI-powered solutions across diverse sectors. The artificial intelligence of things (IoT) signifies the merging of artificial intelligence with Internet of Things devices, enabling more intelligent, data-informed choices and automation. As an illustration, in August 2024, Golioth, a US-based technology firm, introduced its AI-ready IoT infrastructure. This platform establishes an integrated environment where AI and IoT can interact efficiently, empowering developers to construct more intelligent and adaptable systems.
AI Infrastructure Market Leading Players And Competitive Positioning
Major companies operating in the AI infrastructure market are Nvidia Corporation; Intel Corporation; Oracle Corporation; Samsung Group; Micron Technology Inc.; Advanced Micro Devices Inc.; International Business Machines Corporation; Google LLC; Microsoft Corporation; Amazon Web Services Inc.; SK Hynix Inc.; Cisco Systems Inc.; Arm Limited; Xilinx Inc.; Dell Inc.; Hewlett Packard Enterprise Company; Toshiba Corporation; SenseTime Group Limited; Imagination Technologies Limited; Graphcore Limited; Habana Labs Limited; Meta Platforms Inc.; Nutanix Inc.; Pure Storage Inc.; Wave Computing Inc.; Tenstorrent Inc.; Gyrfalcon Technology Inc.; Cambricon Technologies Corporation Limited
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AI Infrastructure Market Global Footprint: Which Region Leads The Market?
North America was the largest region in the AI infrastructure market in 2025. Asia-Pacific is expected to be the fastest-growing region in the AI infrastructure market report forecast period. The regions covered in the AI infrastructure market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
