The IT Operations Analytics Market is projected to grow from estimated USD 2.78 Billion in 2016 to USD 19.84 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 38.7% from 2016 to 2022, as per a report by MarketsandMarkets.
How increasing numbers of data centers presents opportunities in IT Operations Analytics?
Factors such as generation of extensive mobile data, increase in IoT and mobile devices, rich connectivity of internet, and increased requirement for data storage in various industries has led to a rise in the number of data centers. Data centers have proven to be effective to organizations in terms of cost saving, risk mitigation, and data delivery speed. Hence, many organizations are backing up their data with data centers. Technologies such as visual analytics, predictive analytics, user-behavior analytics, root-cause analytics, and real-time log analytics, if implemented on the data stored in data centers can increase the efficiency of an organizations’ IT operations. Hence, increase in the number of data centers will be enabling solution vendors to develop better analytical solutions for the IT operations teams to manage data at such data centers effectively.
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Why less skilled IT staff poses a challenge?
The large amount of data, growing complexity of IT infrastructure, and rapid change in IT environment have changed the requirements of the manpower needed to resolve issues in IT departments. The IT operations teams spend a high amount of time in finding the root cause of the performance issues. This is due to the lack of advanced analytical skills in the IT operations teams. ITOA technologies can only be useful when managed by skilled staff. In some cases, the IT operations teams are not equipped with advanced tools and skills to display the benefits of ITOA when it comes to eliminating the root cause of any IT issue, which may in turn act as a challenge for the growth of the market.
Some of the major vendors of IT operations analytics solutions are Oracle Corporation (U.S.), IBM Corporation (U.S.), SAP SE (Germany), Hewlett Packard Enterprise Company (U.S.), Splunk Inc. (U.S.), Microsoft Corporation (U.S.), Evolven Software Inc. (U.S.), ExtraHop Networks Inc. (U.S.), VMware Inc. (U.S.), and Prelert Inc. (U.S.).
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