Chapter/Section Purchase

1 Introduction to Research & Analysis Reports
1.1 Algorithmic IT Operations (AIOps) Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Algorithmic IT Operations (AIOps) Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Algorithmic IT Operations (AIOps) Overall Market Size
2.1 Global Algorithmic IT Operations (AIOps) Market Size: 2022 VS 2028
2.2 Global Algorithmic IT Operations (AIOps) Market Size, Prospects & Forecasts: 2022-2028
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Key Algorithmic IT Operations (AIOps) Players in Global Market
3.2 Global Companies Algorithmic IT Operations (AIOps) Product & Technology
4 Players Profiles
4.1 AppDynamics (Cisco)
4.1.1 AppDynamics (Cisco) Corporate Summary
4.1.2 AppDynamics (Cisco) Business Overview
4.1.3 AppDynamics (Cisco) Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.1.4 AppDynamics (Cisco) Algorithmic IT Operations (AIOps) R&D, and Plans
4.2 Dynatrace
4.2.1 Dynatrace Corporate Summary
4.2.2 Dynatrace Business Overview
4.2.3 Dynatrace Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.2.4 Dynatrace Algorithmic IT Operations (AIOps) R&D, and Plans
4.3 Splunk
4.3.1 Splunk Corporate Summary
4.3.2 Splunk Business Overview
4.3.3 Splunk Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.3.4 Splunk Algorithmic IT Operations (AIOps) R&D, and Plans
4.4 IBM
4.4.1 IBM Corporate Summary
4.4.2 IBM Business Overview
4.4.3 IBM Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.4.4 IBM Algorithmic IT Operations (AIOps) R&D, and Plans
4.5 BigPanda
4.5.1 BigPanda Corporate Summary
4.5.2 BigPanda Business Overview
4.5.3 BigPanda Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.5.4 BigPanda Algorithmic IT Operations (AIOps) R&D, and Plans
4.6 Zenoss
4.6.1 Zenoss Corporate Summary
4.6.2 Zenoss Business Overview
4.6.3 Zenoss Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.6.4 Zenoss Algorithmic IT Operations (AIOps) R&D, and Plans
4.7 Moogsoft
4.7.1 Moogsoft Corporate Summary
4.7.2 Moogsoft Business Overview
4.7.3 Moogsoft Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.7.4 Moogsoft Algorithmic IT Operations (AIOps) R&D, and Plans
4.8 PagerDuty
4.8.1 PagerDuty Corporate Summary
4.8.2 PagerDuty Business Overview
4.8.3 PagerDuty Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.8.4 PagerDuty Algorithmic IT Operations (AIOps) R&D, and Plans
4.9 Datadog
4.9.1 Datadog Corporate Summary
4.9.2 Datadog Business Overview
4.9.3 Datadog Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.9.4 Datadog Algorithmic IT Operations (AIOps) R&D, and Plans
4.10 Micro Focus
4.10.1 Micro Focus Corporate Summary
4.10.2 Micro Focus Business Overview
4.10.3 Micro Focus Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.10.4 Micro Focus Algorithmic IT Operations (AIOps) R&D, and Plans
4.11 Netreo
4.11.1 Netreo Corporate Summary
4.11.2 Netreo Business Overview
4.11.3 Netreo Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.11.4 Netreo Algorithmic IT Operations (AIOps) R&D, and Plans
4.12 ScienceLogic
4.12.1 ScienceLogic Corporate Summary
4.12.2 ScienceLogic Business Overview
4.12.3 ScienceLogic Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.12.4 ScienceLogic Algorithmic IT Operations (AIOps) R&D, and Plans
4.13 ServiceNow
4.13.1 ServiceNow Corporate Summary
4.13.2 ServiceNow Business Overview
4.13.3 ServiceNow Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.13.4 ServiceNow Algorithmic IT Operations (AIOps) R&D, and Plans
4.14 Broadcom
4.14.1 Broadcom Corporate Summary
4.14.2 Broadcom Business Overview
4.14.3 Broadcom Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.14.4 Broadcom Algorithmic IT Operations (AIOps) R&D, and Plans
4.15 New Relic
4.15.1 New Relic Corporate Summary
4.15.2 New Relic Business Overview
4.15.3 New Relic Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.15.4 New Relic Algorithmic IT Operations (AIOps) R&D, and Plans
4.16 StackState
4.16.1 StackState Corporate Summary
4.16.2 StackState Business Overview
4.16.3 StackState Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.16.4 StackState Algorithmic IT Operations (AIOps) R&D, and Plans
4.17 LogicMonitor
4.17.1 LogicMonitor Corporate Summary
4.17.2 LogicMonitor Business Overview
4.17.3 LogicMonitor Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.17.4 LogicMonitor Algorithmic IT Operations (AIOps) R&D, and Plans
4.18 Instana
4.18.1 Instana Corporate Summary
4.18.2 Instana Business Overview
4.18.3 Instana Algorithmic IT Operations (AIOps) Product Offerings & Technology
4.18.4 Instana Algorithmic IT Operations (AIOps) R&D, and Plans
5 Sights by Region
5.1 By Region - Global Algorithmic IT Operations (AIOps) Market Size, 2023 & 2028
5.2 By Region - Global Algorithmic IT Operations (AIOps) Revenue, (2023-2028)
5.3 United States
5.3.1 Key Players of Algorithmic IT Operations (AIOps) in United States
5.3.2 United States Algorithmic IT Operations (AIOps) Development Current Situation and Forecast
5.4 Europe
5.4.1 Key Players of Algorithmic IT Operations (AIOps) in Europe
5.4.2 Europe Algorithmic IT Operations (AIOps) Development Current Situation and Forecast
5.5 China
5.5.1 Key Players of Algorithmic IT Operations (AIOps) in China
5.5.2 China Algorithmic IT Operations (AIOps) Development Current Situation and Forecast
5.6 Rest of World
6 Sights by Product
6.1 by Type - Global Algorithmic IT Operations (AIOps) Market Size Markets, 2023 & 2028
6.2 Cloud
6.3 On-Premises
7 Sights by Application
7.1 By Application - Global Algorithmic IT Operations (AIOps) Market Size, 2023 & 2028
7.2 SMEs
7.3 Large Enterprises
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer