Global IT operation analytics Market Research Report: By Technology (Visual Analytics, Machine-Based Learning, Predictive Analytics, User-Behavior Analytics, Root-Cause Analytics), Organization Size, by Deployment, Application, Vertical – Forecast till 2027
Market Highlights
IT operation analytics assists in improving operations by gathering data from various processes for predicting potential issues and enhancing decision-making. It allows clients in focusing their efforts and reducing the time to solve problems. The global IT operation analytics market report by Market Research Future (MRFR) comprises drivers, challenges, opportunities, and trends for the period of 2017 to 2023 (forecast period). The sudden outbreak of the COVID-19 virus and its impact on the industry are noted in the report.
Market Scope
The global IT operation analytics market is expected to grow at a CAGR of approximately 39% during the forecast period.
The large data accumulated owing to internet of things based devices, data management strategies, need for process control and optimization, and focus on gaining the edge in the competition are major drivers of the market. The large role of operational analytics in reducing the mean time to repair (MTTR) by 70% and improving business productivity can drive the market demand significantly. Operational analytics can focus their efforts in pinpointing the problem and solving it at a rapid pace.
The trends of bring-your-own-devices (BYOD) and internet of things (IoT) and consulting services by professionals owing to IT operational analytics among large organizations can bode well for the market. The global market size can touch USD 26 billion by 2027 owing to being employed by organizations for measuring key performance metrics. The data can be used in predicting future events and creating strategies for overcoming obstacles into opportunities.
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Market Segmentation
The global IT operation analytics market is segmented by technology, organization size, deployment, application, and vertical.
Based on the technology, the market is segmented into user-behavior analytics, visual analytics, predictive analytics, root-cause analytics, and machine-based learning.
Based on the organization size, the market is segmented into SMEs and large enterprises.
Based on the deployment, the market is segmented into cloud and on-premise.
Based on the application, the market is segmented into network and security management, real-time log analytics, infrastructure management, application performance management, and others. Real-time analytics sub-segment is expected to hold the largest share of the global IT operation analytics market. This market share is owing to the consistent increase in the log and machine-generated data which needs real-time analysis to provide faster, efficient, and innovative ways of log analysis. Adoption of real-time log analytics applications possesses a high priority for organizations to improve efficiency and reduce operation time.
By vertical, it is segmented into media & entertainment, BFSI, healthcare, retail, IT & telecommunication, manufacturing, government, and others. The manufacturing vertical is expected to reap huge dividends by improving efficiency of the product life-cycle and easing the decision-making process.
Regional Analysis
The global IT operation analytics market is studied for Asia Pacific (APAC), North America, Europe, and Rest-of-the-World (RoW).
North America is estimated to account for the largest share of the market and is also expected to grow at the fastest rate during the forecast period. The growth of the market in North America is attributed to technological advancements and increasing amount of data being generated owing to growing adoption of mobiles and social media, BYOD in organizations, and increasing applications of the internet of things across various industry verticals.
Europe has assumed the second-largest share of the global IT operation analytics market owing to the software being used in gauging problems and finding solutions through large volumes of data. The application of machine learning and big data for understanding peak traffic at airports and its impact on the public can drive the market demand exponentially.
Competitive Outlook
Splunk Inc., Microsoft Corporation, Oracle Corporation, VMware Inc., SAP SE, ExtraHop Networks, Prelert Inc., Evolven Software Inc., Hewlett Packard Enterprise Company, IBM Corporation, and others are key players of the global IT operation analytics market.
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Global IT operation analytics Market Research Report: By Technology (Visual Analytics, Machine-Based Learning, Predictive Analytics, User-Behavior Analytics, Root-Cause Analytics), Organization Size, by Deployment, Application, Vertical – Forecast till 2023Market HighlightsThe global IT operation analytics market is projected to witness a rapid growth during the forecast period owing to increasing demand for IT operation analytics solutions.
Moreover, increasing demand for real-time analytics due to a huge amount of data is one major factor driving the growth of IT operation analytics market.The global IT operation analytics market by geography is segmented into North America, Europe, Asia Pacific, and the Rest of the World.
Due to sustainable and well-established economies in the region, the market is likely to show immense growth in the coming future.
Additionally, the region also has a well-established infrastructure, which allows a higher penetration of devices and ultimately provides better connectivity.
Major growth in the generation of data related to IT operations and growing adoption of IoT and BYOD are primarily driving the market growth.The global IT operation analytics market is projected to reach USD 26 billion at a CAGR of over 39% by the end of the forecast period 2017-2023.Taste the market data and market information presented through more than 30 market data tables and figures spread over 100 numbers of pages of the project report.
Avail the in-depth table of content TOC & market synopsis on “IT operation analytics Market Research Report-Forecast to 2023”.Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/5916 Market SegmentationThe global IT operation analytics market is segmented by technology, organization size, deployment, application, and vertical.
Use your data assets and programs with our advanced operational analytics solutions to gain actionable and impactful insights to achieve operational excellence.
Operational Analytics MarketThe global operational analytics market is predicted to surpass USD 11 billion at 15% CAGR over the estimated years (2018-2023).
Operational analytics simply put is a technological device for industries to improve their efficiency by boosting transactions, increasing competitive spirit, augmenting decision-making capacities and eliminate the risk of fraudulent processes.
Some of the key benefits of using operational analytics include increased profits, better decision making, competitive advantage, customer satisfaction, streamlining data, holistic operations and better employee engagement.There are ample factors that is boosting the growth of the operational analytics market.
The additional factors that are fueling the market growth include limited cross organizational changes, decrease in cost inefficiencies, increasing consumer driven analysis, demographic connectivity, timely and meaningful decisions, valuable based insights, growing number of data centers for gathering inner data to analyze the performance of marketing data, growing utilization of mobile devices and increased IT operations data.
On the contrary, complex analytical processes, organizational change, maintaining data privacy and confidentiality amid organizations, implementation of operational analytics in SMEs (small and medium enterprises) with lack of effective data management services, insufficient skilled technical experts, secure data sharing and easy data availability are factors that may hinder the growth of the operational analytics market over the estimated years.Growth Drivers and Key BarriersOperational intelligence market facilitates automation of the decision-making process, thus improving decision making, enhancing market responses, and also reducing process delays.
Operational intelligence solutions are used by organizations strategically for upgrading business processes and also enhance their performance.
Operational Analytics MarketThe sudden challenges created by the ongoing COVID-19 are captured effectively to exhibit the long term growth projections in the MRFR report on Operational Analytics Market .
The growth sectors of the Operational Analytics Market are identified with precision for a better growth perspective.The global operational analytics market is predicted to surpass USD 11 billion at 15% CAGR over the estimated years (2018-2023).
Operational analytics simply put is a technological device for industries to improve their efficiency by boosting transactions, increasing competitive spirit, augmenting decision-making capacities and eliminate the risk of fraudulent processes.
Analytical techniques utilize tools such as aggregation, mining and data extraction for churning out useful information from raw data.
Some of the key benefits of using operational analytics include increased profits, better decision making, competitive advantage, customer satisfaction, streamlining data, holistic operations and better employee engagement.There are ample factors that is boosting the growth of the operational analytics market.
These factors as stated by the Market Research Future (MRFR) report include network and security management, real time log analytics, business infrastructure management, data security and seamless business integration.
The research offers a trustworthy market share analysis that reveals subtle business patterns and sophisticated operational models, as well as an evaluation of business development strategies, advanced supply chain systems, innovative sales and marketing approaches, and product/project development.
The research also calculates the actual industry valuation, as well as market share and size parameters at the global and country levels.
The Operational Database Management Systems market forecast included in the study illustrates possible market sizes and projected market share, as well as expected growth forecasts.Key players:• International Business Machines Corporation,• SAP SE,• Amazon Web Services,• Google Inc.,• Microsoft Corporation,• Fujitsu,• MarkLogic,• MemSQL,• Oracle Corporation,• MongoDB• EnterpriseOB• Amazon Web Services(AWS)• ArangoDB• RavenDB• DataStax• Redis Labs• Couchbase• MariaDB• SQLite• InterSystems• Neo Technologies, Inc.• MongoDB Inc.Request for free sample:https://www.maximizemarketresearch.com/request-sample/62593Operational Database Management Systems market Segmentation:*** The qualitative components of the Operational Database Management Systems market research piece include market drivers, restraints, major trends, opportunities, and challenges.
The most crucial variables increasing the opportunistic landscape of the Operational Database Management Systems market are correctly enlisted in a complete analysis of the market drivers.
The study examines the important trends that are driving the Operational Database Management Systems market's growth and development throughout the projected period, both current and emerging.The COVID-19 impact analysis is a section of the global Operational Database Management Systems market research report that is mostly summarised.
With limited production capacity and the remaining population already fighting an unknown biological entity, the global Operational Database Management Systems market was negatively damaged, with a precipitous reduction in demand for products and financial capabilities exposed to the unstable infrastructure.Get Report Details:https://www.maximizemarketresearch.com/market-report/global-operational-database-management-systems-market/62593/The purpose of the global Operational Database Management Systems market study is to provide vital information on industry deliverables including market size, valuation projections, and sales volume.
