Global Computing Power Rental Service Market Strategic Research Report

Scope of the Report

The global Computing Power Rental Service market size is predicted to grow from US$ 5,854 million in 2025 to US$ 27,250 million in 2032; it is expected to grow at a CAGR of 25.1% from 2026 to 2032.

Computing Power Rental Service refers to a professional computing power solution provided by computing power service providers (IDC vendors, cloud service providers, professional computing power operators, etc.) to users such as enterprises, research institutions, and developers. This solution integrates hardware resources such as server clusters, GPU/CPU chips, storage devices, and network bandwidth, and combines technologies such as virtualization, containerization, and scheduling orchestration to pool dispersed computing power resources. Users can conveniently access diverse computing power support, ranging from basic computing power (general-purpose computing) to high-performance computing power (AI training/inference, scientific computing, rendering), through the network, without having to purchase, deploy, and maintain expensive hardware and supporting infrastructure themselves. This meets short-term peak demand, long-term stable computing power supply, or computing power needs for specific scenarios.

The explosive growth in demand for AI large-scale model training and inference, as well as the development of industry-specific models, has become the core driving force for the expansion of the computing power leasing market.

The business model of computing power leasing is transforming from simple hardware leasing to an ecosystem-based and flexible approach. In terms of service models, cloud-based solutions are becoming mainstream, with cloud platforms achieving elastic resource scheduling through computing power pooling. Computing power is gradually becoming a standardized commodity, and computing power trading platforms are continuously emerging. Billing methods are also flexible and diverse, covering models such as server-based leasing, computing power-scale leasing, and GPU-hour leasing, adapting to both long-term stable needs and short-term temporary demands. Furthermore, after leasing companies partner with large enterprises, the payment cycle has been shortened to 3-6 months, significantly reducing payment risk and improving the industry's cash flow stability.

This report presents a comprehensive overview of the global Computing Power Rental Service 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

• One-time Buyout
• Retail

Segment by Computing Power

• General-purpose Computing Power
• Dedicated Computing Power

Segment by Deployment

• Public Cloud
• Private Cloud
• Hybrid Cloud

Segment by Application

• SMEs
• Large Enterprises

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Computing Power Rental Service 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 SMEs, Large Enterprises 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