Global Computing Power Leasing Market Strategic Research Report

Scope of the Report

The global Computing Power Leasing market size is predicted to grow from US$ 39,194 million in 2025 to US$ 125,677 million in 2032; it is expected to grow at a CAGR of 18.7% from 2026 to 2032.

Computing power leasing refers to the practice of enterprises or individuals renting computing resources such as CPUs, GPUs, AI servers, storage, and networks through cloud platforms, data centers, or third-party computing service providers on a pay-as-you-go, pay-per-use, or pay-per-project basis. These resources are used for scenarios such as artificial intelligence training and inference, large-scale model development, high-performance computing (HPC), graphics rendering, scientific computing, autonomous driving simulation, and blockchain computing, without the need to purchase and maintain expensive hardware. Its essence is the "cloudification of computing resources" and the "servitization of computing power," achieving flexible access to computing resources and cost optimization through elastic scheduling, remote deployment, and shared infrastructure. With the rapid popularization of generative AI, large-scale models, and intelligent applications, computing power has gradually evolved from a traditional IT resource into a basic production factor similar to "water, electricity, and gas," and computing power leasing has become an important infrastructure service model in the AI ​​era.

The computing power leasing industry is currently at the core of the global AI infrastructure boom cycle. With the continued expansion of high-computing scenarios such as large-scale model training, AI agents, autonomous driving, digital twins, robotics, and biological computing, enterprise demand for GPUs and AI servers is growing exponentially. However, due to the high procurement costs, long supply cycles, and rapid updates of high-end GPUs, more and more enterprises are turning to a model of "leasing computing power rather than purchasing hardware." In the future, the industry will further upgrade from the "cloud computing era" to the "AI computing power era," where computing resources will be uniformly scheduled and traded like public infrastructure. Currently, global cloud vendors, AI infrastructure companies, data center operators, and "Neocloud (AI native cloud)" are all accelerating their deployment in the GPU leasing market. At the same time, governments around the world are also promoting strategic projects such as "Eastern Data, Western Computing," "National Computing Power Networks," and "AI Sovereign Clouds." In the long term, computing power leasing will form a super infrastructure industry chain of "AI + Energy + Data Center + Network," becoming one of the core foundations of the future digital economy.

This report presents a comprehensive overview of the global Computing Power Leasing market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• CPU Computing Power Leasing
• GPU Computing Power Leasing
• Other

Segment by Service Models

• IaaS
• PaaS
• Bare Metal
• Others

Segment by Deployment Methods

• Public Cloud Computing Power
• Private Cloud Computing Power
• Hybrid Cloud Computing Power

Segment by Application

• Large Enterprises
• SMEs

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Computing Power Leasing market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Large Enterprises, SMEs evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact