Global Computing Power as a Service (CaaS) Market Strategic Research Report

Scope of the Report

The global Computing Power as a Service (CaaS) market size is predicted to grow from US$ 40,307 million in 2025 to US$ 141,157 million in 2032; it is expected to grow at a CAGR of 19.7% from 2026 to 2032.

Computing as a Service (CaaS) refers to a service model where enterprises provide users with computing resources such as CPUs, GPUs, TPUs, storage, networks, and high-performance computing through cloud platforms, data centers, or third-party service providers, on an on-demand, elastic, subscription, or pay-as-you-go basis. Users can remotely invoke computing resources to complete high-computation-density tasks such as AI training and inference, large-scale model development, scientific computing, graphics rendering, financial modeling, industrial simulation, autonomous driving, and biomedicine without having to purchase, deploy, and maintain expensive servers and infrastructure themselves. Essentially, CaaS represents a further evolution of cloud computing from "resource cloudification" to "AI infrastructure as a service," with core features including elastic scaling, resource pooling, on-demand scheduling, multi-tenant sharing, and automated operation and maintenance. With the advent of the AI ​​era, computing power is gradually becoming a fundamental public resource, similar to electricity and the internet, while CaaS is becoming a crucial underlying infrastructure for the digital economy and the artificial intelligence industry.

The Computing as a Service industry is entering a phase of rapid global expansion, becoming one of the fastest-growing infrastructure sectors in the AI ​​industry chain. With the rapid development of applications such as generative AI, large-scale models, AI agents, robotics, autonomous driving, digital twins, metaverse, and biological computing, the global demand for GPUs and AI computing power is growing exponentially. However, the high cost, long delivery cycles, and rapid iteration of high-end AI chips are prompting more and more companies to choose "renting computing power" rather than "building their own data centers." In the future, CaaS will upgrade from the traditional cloud computing model to an "AI-native computing network." Global cloud vendors, operators, AI infrastructure companies, and emerging Neocloud companies are accelerating the construction of ultra-large-scale GPU clusters and AI data centers. At the same time, governments around the world are also promoting strategic projects such as national computing networks, sovereign AI clouds, East-West data sharing, and green data centers. In the long term, CaaS will deeply integrate with energy, telecommunications, semiconductors, and AI models, gradually forming a new type of infrastructure for the global digital economy and becoming a crucial foundation for the operation of the future AI society.

Global key Computing Power as a Service (CaaS) players cover Amazon Web Services, Google Cloud Platform, Microsoft Azure, Fujitsu, NTT, etc.

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

Segment by Hardware Resources

• CPU Computing Power Service
• GPU Computing Power Service
• TPU Computing Power Service
• Others

Segment by Deployment Methods

• Public Cloud CaaS
• Private Cloud CaaS
• Hybrid Cloud CaaS

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 as a Service (CaaS) 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