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The IT Operation Analytics (ITOA) Market is segmented by Application (Application Monitoring, Business & IT Services Monitoring, Infrastructure Monitoring), End-user Industry (BFSI, Healthcare, Retail), and Geography.
Fastest Growing Market:
IT Operation Analytics (ITOA) Market is expected to register a healthy CAGR of over 28% during the forecast period (2020 - 2025). With growing complexity, developers spend approximately 25% of their time investigating the main reason for application issues that are related to hybrid IT infrastructures. Implementation of ITOA platforms offers the facility to connect, distribute, ingest, normalize, contextualize and govern large IT operations data across cloud and data centres.
IT Operations Analytics (ITOA) is an approach to IT operations data that allows professionals to understand and make decisions about their IT ecosystem. ITOA tools respond to the needs of IT pros responsible for complex applications, driven by advancements in machine learning and big-data technologies. These are deployed via sophisticated data-collection tools having a centralized data repository that uses advanced analytics applications to help turn data into insights. ITOA Solutions and services offered by leading vendors are considered under the scope of our study.
|Business & IT Services Monitoring|
|Other End-user Industries|
|Rest of the World|
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The ITOA market is moderately competitive and consists of a few major players. In terms of market share, some of the major players currently dominate the market. However, with the advancement in the analytics across the managed services, new players are increasing their market presence thereby expanding their business footprint across the emerging economies.
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Rising Growth of Cloud Adoption Among the ITes
4.3.2 Rising Demand for Analytics across Various Segments of End-user Industries
4.4 Market Restraints
4.4.1 Initial Investment in Toolsets in terms of Data and Human-Machine Interaction
4.5 Industry Attractiveness - Porter's Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
4.6 Technology Snapshot
4.6.1 Big Data & Machine Learning Algorithm
4.6.2 Log Analytics
4.6.3 IT Analytics
4.6.4 Operation Analytics
4.6.5 Predictive Analytics
4.6.6 Root Cause Analysis
5. MARKET SEGMENTATION
5.1.1 Cloud Based
5.2.1 Application Monitoring
5.2.2 Business & IT Services Monitoring
5.2.3 Infrastructure Monitoring
5.2.4 Other Applications
5.3 End-user Industry
5.3.6 Other End-user Industries
5.4.1 North America
5.4.4 Rest of the World
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM Corp.
6.1.2 Oracle Corp.
6.1.3 Micro Focus International PLC (HPE Software BU)
6.1.4 CA Technology Inc. (Broadcom Inc.)
6.1.5 VMware Inc.
6.1.6 BMC Software Inc.
6.1.7 Evolven Software Inc.
6.1.8 Splunk Inc.
6.1.9 XpoLog Ltd.
6.1.10 INETCO Systems Limited
6.1.11 Interlink Software Services Ltd.
6.1.12 OpsDataStore Inc.
6.1.13 WNS (Holdings) Limited
7. INVESTMENT ANALYSIS
8. MARKET OPPORTUNITIES AND FUTURE TRENDS