The composable infrastructure market is estimated to be valued at US$ 6.46 Bn in 2025 and is expected to reach US$ 23.04 Bn by 2032, growing at a compound annual growth rate (CAGR) of 19.9% from 2025 to 2032.
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Enterprises are increasingly adopting composable infrastructure solutions to reduce capital expenditure and improve infrastructure utilization. Composable infrastructure allows dynamically assembling and disassembling infrastructure resources based on application demands. This enables optimized allocation of pooled resources and improves infrastructure efficiency. Further, composable infrastructure aids flexibility and agility by rapidly provisioning, re-provisioning and upgrading infrastructure. The ability to integrate existing hardware with software-defined infrastructure is also driving adoption. The market is expected to be positively impacted by the rapid growth in data volumes and infrastructure virtualization across industries.
Market Drivers: AI and Automation Spur Need for Composability
Over the past decade, organizations have invested heavily in adopting new technologies like artificial intelligence, machine learning, automation, and others to enhance their operations. While these technologies promise benefits, they have also created new challenges for businesses. As organizations deploy disparate systems and applications to gain specific capabilities, their existing IT infrastructure has become complex with many isolated silos housing different workloads. This makes the management of the infrastructure inefficient and costly. It also impacts the ability of businesses to leverage these new technologies together and extract further value.
Composable infrastructure is emerging as a solution to address these challenges. With a composable approach, organizations can break away from rigid, fixed hardware configurations. Instead, they get flexibility and agility to deploy the exact resources - compute, storage, and networking - that are required for different workloads on demand. This allows workloads and applications to be automated and orchestrated in a simple and automated manner. It enables new capabilities to be added without significant disruption to existing environments. The infrastructure can also adapt in real-time as business and technology needs change. This is especially useful considering how Artificial Intelligence and automation projects involve constant experimentation, testing and optimization. With composable infrastructure, resources can be incredibly responsive to these dynamic needs. IT teams have visibility into the entire infrastructure and can monitor, analyze, and improve resource utilization over time. This helps maximize investment in tools that drive modernization in a cost-effective way.
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