Cloud monitoring refers to the process of monitoring, reviewing, and managing of operational processes and work within a cloud-based IT infrastructure. Cloud monitoring is implemented by using manual or mechanized IT monitoring and management technology for the optimal performance of cloud infrastructure.
Major applications of cloud monitoring include website monitoring, virtual machine monitoring, database monitoring, virtual network monitoring, and cloud storage monitoring. These functions of cloud monitoring enables easy detection of potential security threads in infrastructure, by tracking the process, and monitoring traffic. Cloud monitoring solutions involves scanning, classifying, analyzing of data and then take action to protect against loss of data, before it leaves the network.
Growth of the global cloud monitoring market is led by the high demand for monitoring huge data set. According to Coherent Market Insights analysis, the global data sphere is expected to reach up to 163 zettabytes by 2025, due to increasing adoption of cloud monitoring. This is in turn, expected to increase due to advantages of cloud monitoring such as cost effectiveness, performance, scalability, and flexibility have also accelerated growth of the market.
High demand for cloud monitoring for financial applications is expected to increase market growth
Software-as-a-service is an on-demand application, used to control and rectify performance of a system. Increasing adoption of software-as-a-services offerings such as customer relationship management (CRM), human capital management (HCM), enterprise resource management, and other financial applications creates a favorable environment for adoption of cloud monitoring, specifically in large organizations. Unlike conventional banking application software, it does not require employees for smooth running of the system. Also, it does not require major investment in PCs, network infrastructure, and backup systems. Moreover, it provides data security and does not require frequent software upgrade. Hence, it reduces the overall cost of the system. Additionally, growing inclination of the enterprise buyers towards adoption of the software-as-a-service solutions is expected to boost growth of the market for cloud computing in the near future. According to Coherent Market Insights’ analysis, around 45% of adoption by large enterprise in the U.S. will comprise software-as-a-service. This in turn, is expected to boost growth of the market for cloud monitoring.
Cloud Monitoring Market Taxonomy
On the basis of component, the global cloud monitoring market is segmented into:
On the basis of service model, the global cloud monitoring market is segmented into:
On the basis of organization size, the global cloud monitoring market is segmented into:
On the basis of end-user industry, the global cloud monitoring market is segmented into:
North America is expected to hold a dominant position in the cloud monitoring market during the forecast period
North America held a dominant position in the global cloud monitoring market in 2016. The U.S. and Canada hold the largest market share in the region, owing to the shifting of data to cloud infrastructure in these countries. In 2015, North America accounted for around 42% of the global cloud data center workload.
For instance, Amazon Web Services (AWS) enables scalability and flexibility of IT services to be delivered to end-use industries. Moreover it also provides externally hosted computing resources to the organizations for their individual services and applications.
Major players operating in the global Cloud Monitoring market include CA Technologies, Solarwinds, Dynatrace, Idera, Sevone, Cloudyn, Zenoss, Datadog, Kaseya, Logicmonitor, and Opsview.
Research Methodology
Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:
In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.
Coherent Market Insights desk research is based on a principle set of research techniques:
Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:
Preliminary Data Mining
The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.
Data Standardization:
Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.
Coherent Statistical model
We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:
Data Processing
Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.
Data Validation
This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:
The primary research is conducted with the ecosystem players including, but not limited to:
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