Market Size of Capacity Management Analytics Industry
| Study Period | 2019 - 2029 |
| Base Year For Estimation | 2023 |
| CAGR | 18.00 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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Capacity Management Analytics Market Analysis
The Capacity Management Analytics Market is expected to register a CAGR of 18% during the forecast period (2020 - 2025). As the business environment is growing and the workloads are changing, the techniques that were once optimal are no longer feasible. Capacity management analytics primarily predicts the changes in the operations and autonomously rebalances the workloads in real-time as the condition changes, thereby avoiding the performance issues while significantly reducing virtual machine motioning and volatility.
- Multiple organizations today are combatting the risks that are related to the virtualized infrastructure by significantly over-provisioning their hardware. The excess capacity is basically a cost that is currently viewed as a necessary solution owing to the rising complexity of new business environments. This inefficiency can however be avoided with the optimization of workload placements and right-sizing the virtual machine (VM) allocations in order to simultaneously combat both risk and capacity waste.
- The management of the IT infrastructure has become much more complex in the past few years and organizations are increasingly augmenting or replacing their in-house systems with scalable resources that are being provided by cloud services. The cloud services primarily require the same level of capacity and performance management as an on-premises system, which has led to the creation of holistic capacity management and planning tools in order to adequately address these hybrid environments in the management process.
- Capacity management solutions provides multiple benefits to an organization and is a factor in overall management of a computing infrastructure. In addition to ensure that all the systems are performing at an adequate levels, these analytics solution also helps in realizing cost savings by avoiding the over-provisioning of hardware and software resources. It also helps saving time by identifying extraneous activities such as backing up unused data or maintaining idle servers.
- Owing to the recent outbreak of coronavirus, there is shift in usage from mobile internet to fixed-line broadband, adding significant revenue strain for the mobile-only CSPs in some regions. The CSPs, are currently in a crucial need to optimize their capacity in order to provide seamless service to their users.
