AI data centre market to reach USD $933.76 billion by 2030

The global artificial intelligence data centre market is projected to experience significant growth driven by the increasing demand for AI workloads, data explosion, and big data analytics.

Research from MarketsandMarkets estimates that the worldwide AI data centre market will rise from USD $236.44 billion in 2025 to USD $933.76 billion by 2030, registering a compound annual growth rate (CAGR) of 31.6% throughout the forecast period.

Market drivers

This growth is primarily attributed to the surging demand for AI workloads across multiple industries, including healthcare, finance, and manufacturing. These sectors increasingly rely on high-performance computing infrastructures to manage complex algorithms and process large-scale data sets in real time.

In response, companies are making investments in data centres optimised for artificial intelligence, which incorporate advanced hardware such as GPUs, TPUs, and storage systems capable of supporting intense computational loads. Such investments aim to address both the performance needs of AI tasks and the growing quantities of data generated by digital transformation initiatives.

While demand is growing, the establishment of AI-centric data centres involves considerable costs. These include the need for specialised hardware, advanced cooling mechanisms to manage the substantial heat generated by high-performance servers, and a workforce with expertise in AI operations and maintenance. This cost barrier may prove significant, particularly for small and mid-sized enterprises looking to adopt AI infrastructure.

An emerging trend within the segment is the adoption of environmentally sustainable practices. Organisations are implementing green AI data centres that focus on energy efficiency and reduced carbon footprints as part of efforts to address both cost and regulatory pressures related to sustainability.

Compute servers lead

The compute server segment is anticipated to command the highest market share in the AI data centre market during the forecast window. Compute servers play a crucial role in deploying AI workloads, especially in domains such as deep learning, natural language processing, and computer vision. These applications require substantial computational power for both training and inference, typically delivered by servers outfitted with GPUs, TPUs, or custom AI accelerators.

These advanced servers enable parallel processing and real-time analysis of data, making them an integral component for enterprises deploying AI at scale. As the demand for automation, advanced analytics, and new digital services grows, the market for compute servers tailored for AI purposes continues to expand.

Another important factor is the increasing use of AI in hyperscale data centres, which process large volumes of data on a continuous basis. To satisfy these computational requirements, compute servers are increasingly considered the backbone of modern AI data centre architectures. Their reliability and performance are central to the operation of scalable, high-capacity AI systems.

Enterprise adoption increases

The enterprise segment is projected to register the highest CAGR in the AI data centre market over the forecast period. This is attributed to the widespread digital transformation across industries and a growing emphasis on intelligent, data-driven decision-making for business processes.

Enterprises are increasingly deploying AI workloads for a variety of applications, such as predictive maintenance, customer analytics, fraud detection, and automation of routine business tasks. To support these initiatives, many are investing in data centres that are specifically optimised for AI, offering the required computational power and scalability.

While hyperscale technology providers have already established robust AI infrastructure, a transition is seen in enterprises actively developing or collaborating to build AI-focused data centre capacity in pursuit of maintaining competitiveness. Industry-specific examples include financial institutions leveraging AI data centres for real-time risk assessment, while healthcare organisations use them for expediting diagnostics and drug discovery.

The AI data centre market is witnessing strong growth due to the rising demand for AI workloads across healthcare, finance, and manufacturing sectors. These workloads require high-performance computing infrastructure to process complex algorithms and large-scale data sets in real-time. Companies are investing in AI-optimized data centres that integrate GPUs, TPUs, and advanced storage systems to meet this demand. However, one main constraint is the high implementation cost associated with setting up AI-centric data centres, including investment in specialised hardware, advanced cooling systems, and skilled personnel. This can be a barrier, particularly for small and mid-sized enterprises. An emerging opportunity lies in the increasing adoption of green AI data centres as organisations focus on sustainability and energy efficiency.

The growth of AI-as-a-Service (AIaaS) platforms is also granting mid-sized and smaller enterprises access to advanced AI technologies without requiring hefty upfront infrastructure investments. Additionally, government incentives targeted at promoting digital innovation and AI utilisation in sectors such as manufacturing and transportation are further encouraging enterprise spending on AI-capable data centres.

With enterprises increasingly transitioning to hybrid cloud and edge computing models, the requirement for data centre infrastructure that is robust, secure, and energy-efficient is accelerating. These trends are expected to underpin the strong market growth expected in the coming years.