Global IT Operations Analytics Market By Technology Type (Root-Cause Analytics, Machine-Based Learning, Visual Analytics, Predictive Analytics, User Behavior), Application Area (Real-Time Log Analytics, Application Performance Management, Network & Security Management, Infrastructure Management), Organization Size (Small & Medium Enterprises, Large Enterprises), Deployment Type (Cloud, On-Premise), Vertical
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IT operations analytics (ITOA) is the method used to monitor systems and gather, process, analyze and interpret data from various IT operations sources, to identify potential threats, and assist in making decisions. Information is gathered from both live and older data from applications, services and infrastructure hardware logs. Other than aforementioned sources, IT operation analytics gathers data from other sources such as software agents running in operating systems or hypervisors gathering data relevant to IO, transactions and resource usage. The results of the scripted tests are accordingly, with the real-time analysis of running protocols in a network.
The adoption of big data analytics has further added to the effectiveness of ITOA. The information gathered can be interpreted by technologies that capable of interpreting massive amounts of data, namely Hadoop, NoSQL, Cassandra and ExtraHop. Some of the prominent factors that drive the IT operations analytics market are the unprecedented growth of IT operations data and adoption of BYOD and IoT in organizations across industries. Frequent changes in the IT operational landscape have been a major factor that hinders the market growth.
The ITOA market is segmented by applications, technologytools, deployment models, organization size, verticals, and regions. Based on applications, the market is segmented into real-time log analytics, application performance management, infrastructure management, network and security management, and others, which include cloud monitoring and virtualization monitoring. Based on technology, the market has been segmented into visual analytics, machine-based learning, predictive analytics, user-behavior analytics, and root-cause analytics. Based on the deployment model, this market is segmented into on-premises and on-demand. Based on organizational size, the market is segmented into large enterprises and SME?s. Based on vertical, the market is segmented into BFSI, healthcare and life sciences, retail and consumer goods, manufacturing, travel and hospitality, IT and telecommunication, media and entertainment, and government. Based on region, IT Operations Analytics market is segmented into North America (US, Canada, Mexico and Rest of North America), Europe (Germany, UK, France, Russia, Spain, Italy and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Singapore, Malaysia and Rest of Asia-Pacific) and Latin America, and Middle East & Africa. North America remained the dominant region in the global IT Operations Analytics market in 2015. Asia-Pacific would witness promising CAGR during the forecast period (2016-2022). The report covers the analysis of key stake holders of the IT Operations Analytics market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, HP Enterprise Company, Oracle Corporation, SAP SE, VMware, Inc., Splunk Inc, and Evolven.