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AI Infrastructure Market Expansion Continues, with Forecast Valuation of $181.7 Billion by 2029

10-15-2025 10:38 AM CET | IT, New Media & Software

Press release from: The Business Research Company

AI Infrastructure Market

AI Infrastructure Market

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AI Infrastructure Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The size of the ai infrastructure market has seen a considerable expansion in recent times. The market is projected to surge from $56.98 billion in 2024 to $71.88 billion in 2025, with a compound annual growth rate (CAGR) standing at 26.2%. The notable growth observed during the historical period can be traced back to the proliferation of data generation, progress in deep learning, the need for immediate processing, the necessity for regulatory conformity, as well as concerns over data privacy and security.

AI Infrastructure Market Size Forecast: What's the Projected Valuation by 2029?
Anticipations are high for the AI infrastructure market to experience a significant surge in the coming years, with its size predicted to increase to $181.7 billion by 2029, exhibiting a compound annual growth rate (CAGR) of 26.1%. This forthcoming expansion during the speculated period is likely traced to advancements in quantum computing, considerations for energy efficiency, the evolution of explainable AI standards, personalization in customer experience, and swift proliferation in AI applications. The primary trends noted for the projected period involve a speedy increase in AI adoption across various sectors, the surge of edge AI, the production of AI-dedicated hardware, hybrid and multi-cloud implementations, AI-optimized storage solutions, ethical issues and security related to AI, and collaborations between AI and cloud providers.

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What Are the Drivers Transforming the AI Infrastructure Market?
The AI infrastructure market's expansion is expected to be fueled by the growing data traffic and the demand for high computational capabilities. Data traffic encompasses the volume of data traversing through a computer network at a particular time, while high computational power pertains to systems' ability to process data and execute complex computations swiftly. AI models are assisted by HPC infrastructure in storage, networking, and data processing, enabling AI projects to swiftly process workloads, accelerate the training phase, and enhance the precision and dependability of AI models in the shortest time. For example, Ericsson, a Swedish networking and telecommunications company, reported in June 2022 that mobile network data traffic surged by 10% from the last quarter of 2021 to the first quarter of 2022. When compared year on year, this growth was 40%. Moreover, the International Data Corporation (IDC), a US-based IT and telecommunications advisory services provider, stated in May 2022 that nearly half of the startups in the Asia-Pacific region concentrate on high-performance computing infrastructure to tackle genome data issues in life sciences due to its superior computational capabilities. As a result, the escalating data traffic and the requirement for powerful computing are propelling the expansion of the AI infrastructure market.

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What Long-Term Trends Will Define the Future of the AI Infrastructure Market?
Key players in the AI infrastructure market are honing their focus on technological advancements such as Artificial Intelligence of Things (IoT) to augment operational efficiency, enhance data analytics abilities, and facilitate smooth incorporation of AI-based solutions in various sectors. The concept of Artificial Intelligence of Things (IoT) encapsulates the marriage of artificial intelligence with Internet of Things devices to support intelligent, data-led decisions and automation. For illustration, Golioth, a tech firm based in the US, in August 2024 launched an infrastructure ready for AI-based IoT. This platform fosters an integrated environment where AI and IoT can work collaboratively, thus empowering developers to design smarter and more reactive systems.

Which Segments in the AI Infrastructure Market Offer the Most Profit Potential?
The ai infrastructuremarket 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: GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), 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

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Which Firms Dominate the AI Infrastructure Market by Market Share and Revenue in 2025?
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., Synopsys Inc., Hewlett Packard Enterprise Company, Cadence Design Systems Inc., 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

Which Regions Offer the Highest Growth Potential in the AI Infrastructure Market?
North America was the largest region in the AI infrastructure market in 2024. 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, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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With over 15,000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Our flagship product, the Global Market Model delivers comprehensive and updated forecasts to support informed decision-making.

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