I’m sure we don’t need to tell you how fast the data center market has grown in the past couple of years. In just a short time, data centers have gone from beneficial to an essential part of everyday life, and we don’t just mean for businesses.
But like any new technology, there is always room for improvement. Today, data center operators are coping with a steady demand for improving workflow efficiency.
What’s the easiest way to do this? Automation!
Data center facilities are aggressively pursuing automation of operations, management, monitoring, and maintenance tasks. Such market trends are acting as the driving force behind the growth of submarkets, to include workload scheduling and the Automation Software Market.
Organizations are adopting open-source platforms such as OpenStack and CloudStack for data center automation. Though world over, operating environment for Automation Software is still dominated by Windows 32 and 64, Automation Software Solutions which run on UNIX, Linux and other open-source software platforms, are also witnessing a steady rise in demand.
This is also a huge reason why the Global Data Center Automation Software Market is expected to post a CAGR of 18.69 percent for the 2013-2018 period.
This market trend indicates a future that belongs to the cloud, as organizations make a beeline for cloud-based solutions and adoption of open-source. The APAC region in particular has seen an increase in acquisitions by major vendors and an increase in demand for cloud-based solutions in countries such as China, India, and Japan.
Covering the market landscape, TechNavio analysts bring you their insights on 4 key market trends that are influencing the Global Data Center Automation Software Market:
Increased Adoption of Cloud Datacenter Architecture
The market has witnessed positive growth because of the increased adoption of virtualization and cloud data center architecture. It is associated with self-service provisioning, orchestration, configuration, and automation solutions, which are needed to enable data centers.
The dynamic nature of cloud computing has increased the workload of data centers and the demand for automation software. New technologies are forcing data center providers to adopt new methods to increase efficiency and scalability, and avoid redundancy.
As infrastructure improves, more companies benefit from better cost structures and the cloud data center environment. Cloud platforms such as CloudStack and OpenStack allow organizations to create an orchestrated and automated fluid cloud environment capable of dynamic scalability.
Increased Adoption of Server and Storage Virtualization
One of the major forces, seen to improve data center and their network is server and storage virtualization. Many organizations are adopting this trend and have virtualized major portions of their application workloads to improve the utilization rates of compute and storage resources thereby reducing operational expenses.
Virtualization helps organizations in server consolidation and in creating an environment for cloud computing. In addition, the development of mobile devices and the number of applications has brought about a multitude of change in traffic patterns which basically extend from the mobile endpoint up-to the data center.
Emergence of Internet of Things (IoT)
loT is the product of technology and networking and helps to exchange information between infrastructure and other resources. IoT solutions are deployed in sectors such as:
- Automotive
- Transportation
- Smart Homes
- Energy
- Utility
- Security
- Public Safety
- Financial Services
- Retail
- Healthcare
- Distribution
The IoT is about interacting with objects, even non-intelligent objects with context, as provided by geo-location and time. IoT is used especially in the Energy sector. It helps organizations to sharpen their existing business models and develop newer ones.
Increased Focus on Big Data and Social Networking
Social networking sites have become beneficial for both buyers and sellers as they reduce transaction time and cost. Various social networking sites such as Facebook, Twitter, Pinterest, and Instagram are helping retailers to advertise, promote, and increase the sales of their products.
As a result, big data and social networks are contributing to increased traffic and changing traffic patterns. This cannot be handled by traditional networks and their operational models. Hence, to overcome this issue, performance and scalability has witnessed a key requirement executed through automation software and its orchestration.
