The technologies in IT operations analytics has undergone significant change in recent years, with traditional operation research to advanced machine learning. The rising wave of new technologies, such as machine learning and predictive analytics are creating significant potential in infrastructure management and network & security management applications, and driving the demand for IT operations analytics.
In IT operations analytics market, various technologies, such as visual analytics, machine-based learning, predictive analytics, user-behavior analytics, and root-cause analytics are used in various applications for retrieve, analyze, and report data for IT operations. Increasing IT operations data and advancements in bring your own device (BYOD) & Internet of Things (IOT) are creating new opportunities for various IT operations analytics technologies.
This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the IT operations analytics (ITOA) market.
The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global IT operations analytics (ITOA) market by application, technology, and region as follows:
Technology Readiness by Technology Type
Competitive Intensity and Regulatory Compliance
Disruption Potential by Technology Type
Trends and Forecasts by Technology Type [$M shipment analysis from 2013 to 2024]:
Technology Trends and Forecasts by Application [$M shipment analysis from 2013 to 2024]:
Technology Trends and Forecasts by Region [$M shipment analysis for 2013 to 2024]:
Latest Developments and Innovations in the IT Operations Analytics (ITOA) Technologies
Companies/Ecosystems
Strategic Opportunities by Technology Type
Some of the IT operations analytics (ITOA) companies profiled in this report include Oracle Corporation, IBM Corporation, Hewlett Packard Enterprise Company, Splunk, Microsoft Corporation, Evolven Software, ExtraHop Networks, VMware, and Prelert
This report answers the following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the IT operations analytics (ITOA) market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in IT operations analytics (ITOA) market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the business risks and threats to these technologies in IT operations analytics (ITOA) market?
Q.6 What are the latest developments in IT operations analytics (ITOA) technologies? Which companies are leading these developments?
Q.7 Which technologies have potential of disruption in this market?
Q.8 Who are the major players in this IT operations analytics (ITOA) market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this IT operations analytics (ITOA) technology space?
In IT operations analytics market, various technologies, such as visual analytics, machine-based learning, predictive analytics, user-behavior analytics, and root-cause analytics are used in various applications for retrieve, analyze, and report data for IT operations. Increasing IT operations data and advancements in bring your own device (BYOD) & Internet of Things (IOT) are creating new opportunities for various IT operations analytics technologies.
This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the IT operations analytics (ITOA) market.
The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global IT operations analytics (ITOA) market by application, technology, and region as follows:
Technology Readiness by Technology Type
Competitive Intensity and Regulatory Compliance
Disruption Potential by Technology Type
Trends and Forecasts by Technology Type [$M shipment analysis from 2013 to 2024]:
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
Technology Trends and Forecasts by Application [$M shipment analysis from 2013 to 2024]:
- Real-Time Log Analytics
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
- Application Performance Management
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
- Infrastructure Management
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
- Network and Security Management
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
- Others
- Visual Analytics
- Machine-Based Learning
- Predictive Analytics
- User-Behavior Analytics
- Root-Cause Analytics
Technology Trends and Forecasts by Region [$M shipment analysis for 2013 to 2024]:
- North America
- United States
- Canada
- Mexico
- Europe
- United Kingdom
- Germany
- France
- Asia Pacific
- Japan
- China
- South Korea
- India
- The Rest of the World
Latest Developments and Innovations in the IT Operations Analytics (ITOA) Technologies
Companies/Ecosystems
Strategic Opportunities by Technology Type
Some of the IT operations analytics (ITOA) companies profiled in this report include Oracle Corporation, IBM Corporation, Hewlett Packard Enterprise Company, Splunk, Microsoft Corporation, Evolven Software, ExtraHop Networks, VMware, and Prelert
This report answers the following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the IT operations analytics (ITOA) market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in IT operations analytics (ITOA) market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the business risks and threats to these technologies in IT operations analytics (ITOA) market?
Q.6 What are the latest developments in IT operations analytics (ITOA) technologies? Which companies are leading these developments?
Q.7 Which technologies have potential of disruption in this market?
Q.8 Who are the major players in this IT operations analytics (ITOA) market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this IT operations analytics (ITOA) technology space?
Table of Contents
1. Executive Summary6. Latest Developments and Innovations in the IT Operations Analytics (ITOA) Technologies
*Full List of Figures and Tables Available on Enquiry. 2. Technology Landscape
3. Technology Readiness
4. Technology Trends and Forecasts Analysis from 2013-2024
5. Technology Opportunities (2013-2024) by Region
7. Companies/Ecosystem
8. Strategic Implications
9. Company Profiles of Leading Players
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Oracle Corporation
- IBM Corporation
- Hewlett Packard Enterprise Company
- Splunk, Microsoft Corporation
- Evolven Software
- ExtraHop Networks
- VMware
- Prelert
Methodology
The analyst has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets/applications and served over 1,000 clients worldwide. Each study is a culmination of four months of full-time effort performed by the analyst team. The analysts used the following sources for the creation and completion of this valuable report:
- In-depth interviews of the major players in the market
- Detailed secondary research from competitors’ financial statements and published data
- Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
- A compilation of the experiences, judgments, and insights of professionals, who have analyzed and tracked the market over the years.
Extensive research and interviews are conducted in the supply chain of the market to estimate market share, market size, trends, drivers, challenges and forecasts.
Thus, the analyst compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. The analyst then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process.
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