Table of Content


Chapter 1 Methodology & Scope
1.1 Market definition
1.2 Base estimates & forecast
1.3 Forecast calculations
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
1.5 Industry Glossary
Chapter 2 Executive Summary
2.1 Artificial Intelligence in IT Operations (AIOps) industry 360 degree synopsis, 2018 – 2032
2.2 Business trends
2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment Model trends
2.6 Enterprise Size trends
2.7 Application trends
2.8 End-user trends
Chapter 3 Artificial Intelligence in IT Operations (AIOps) Industry Insights
3.1 Introduction
3.2 Impact of COVID-19 outbreak
3.2.1 By region
3.2.1.1 North America
3.2.1.2 Europe
3.2.1.3 Asia Pacific
3.2.1.4 Latin America
3.2.1.5 Middle East & Africa
3.2.2 Strategies by major players to regain pre-COVID level growth
3.3 Impact analysis of Russia-Ukraine war
3.4 Artificial Intelligence in IT Operations (AIOps) industry ecosystem analysis
3.4.1 Domain-centric AIOps providers
3.4.2 Domain-agnostic AIOps providers
3.4.3 Cloud service providers
3.4.4 Third Party Service Providers
3.4.5 End-users
3.4.6 Profit margin analysis
3.4.7 Vendor matrix
3.5 Technology & innovation landscape
3.5.1 Real time incident response
3.5.2 Integration with observability platforms
3.5.3 Smart automation
3.5.4 AI enabled cybersecurity
3.6 Patent analysis
3.7 Investment portfolio
3.8 Industry news
3.8.1 North America
3.8.2 Europe
3.8.3 Asia Pacific
3.8.4 Latin America
3.8.5 Middle East & Africa
3.9 Regulatory landscape
3.9.1 International Standards
3.9.2 North America
3.9.3 Europe
3.9.4 Asia Pacific
3.9.5 Latin America
3.9.6 MEA
3.10 Industry impact forces
3.10.1 Growth drivers
3.10.1.1 Growing demand of AI-based services for IT operations
3.10.1.2 Rising affinity of enterprises to shift core business operations on the cloud
3.10.1.3 Increasing end-to-end business application assurance and uptime
3.10.1.4 Rising needs of businesses for holistic 360? visibility into IT operations
3.10.1.5 Surging focus of enterprises on reducing IT capital expenditure
3.10.2 Industry pitfalls & challenges
3.10.2.1 Growing complexities and dynamic nature of the IT architecture
3.10.2.2 Increasing number of changes in IT operations
3.11 Growth potential analysis
3.12 Porter’s analysis
3.12.1 Bargaining power of suppliers
3.12.2 Bargaining power of buyers
3.12.3 The threat of new entrants
3.12.4 The threat of substitute
3.12.5 Competitive rivalry
3.13 PESTEL analysis
3.13.1 Political
3.13.2 Economic
3.13.3 Social
3.13.4 Technological
3.13.5 Legal
3.13.6 Environmental
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, by revenue, 2022
4.2.1 Competitive analysis of major players, 2022
4.2.1.1 IBM
4.2.1.2 Splunk
4.2.1.3 Cisco
4.2.1.4 Dynatrace
4.2.1.5 Elastic
4.2.2 Competitive analysis of market innovators, 2022
4.2.2.1 Servicenow
4.2.2.2 New Relic
4.2.2.3 Datadog
4.2.2.4 Broadcom CA
4.2.2.5 BMC Software
4.2.3 Vendor adoption matrix
4.2.4 Strategic outlook matrix
Chapter 5 Artificial Intelligence in IT Operations (AIOps) Market, By Component
5.1 Key trends, by component
5.2 Solution
5.2.1 Market estimates and forecast, 2018 – 2032
5.2.2 Domain-Agnostic AIOps
5.2.2.1 Market estimates and forecast, 2018 – 2032
5.2.3 Domain-Centric AIOps
5.2.3.1 Market estimates and forecast, 2018 – 2032
5.3 Service
5.3.1 Market estimates and forecast, 2018 – 2032
5.3.2 Professional Services
5.3.2.1 Market estimates and forecast, 2018 – 2032
5.3.3 Managed Services
5.3.3.1 Market estimates and forecast, 2018 – 2032
Chapter 6 Artificial Intelligence in IT Operations (AIOps) Market, By Deployment Model
6.1 Key trends, by deployment model
6.2 On-premise
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Cloud
6.3.1 Market estimates and forecast, 2018 – 2032
Chapter 7 Artificial Intelligence in IT Operations (AIOps) Market, By Enterprise Size
7.1 Key trends, by enterprise size
7.2 Large Enterprises
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 SMEs
7.3.1 Market estimates and forecast, 2018 – 2032
Chapter 8 Artificial Intelligence in IT Operations (AIOps) Market, By Application
8.1 Key trends, by application
8.2 Infrastructure Management
8.2.1 Market estimates and forecast, 2018 – 2032
8.3 Real-Time Analytics
8.3.1 Market estimates and forecast, 2018 – 2032
8.4 Network & Security Management
8.4.1 Market estimates and forecast, 2018 – 2032
8.5 Application Performance Management
8.5.1 Market estimates and forecast, 2018 – 2032
8.6 Others
8.6.1 Market estimates and forecast, 2018 – 2032
Chapter 9 Artificial Intelligence in IT Operations (AIOps) Market, By End-user
9.1 Key trends, by end-user
9.2 BFSI
9.2.1 Market estimates and forecast, 2018 – 2032
9.3 IT & Telecom
9.3.1 Market estimates and forecast, 2018 – 2032
9.4 Healthcare
9.4.1 Market estimates and forecast, 2018 – 2032
9.5 Retail
9.5.1 Market estimates and forecast, 2018 – 2032
9.6 Government
9.6.1 Market estimates and forecast, 2018 – 2032
9.7 Manufacturing
9.7.1 Market estimates and forecast, 2018 – 2032
9.8 Media & Entertainment
9.8.1 Market estimates and forecast, 2018 – 2032
9.9 Others
9.9.1 Market estimates and forecast, 2018 – 2032
Chapter 10 Artificial Intelligence in IT Operations (AIOps) Market, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 Market estimates and forecast, 2018 – 2032
10.2.2 Market estimates and forecast, by Component, 2018 – 2032
10.2.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.2.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.2.5 Market estimates and forecast, by Application, 2018 – 2032
10.2.6 Market estimates and forecast, by End-user, 2018 – 2032
10.2.7 U.S.
10.2.7.1 Market estimates and forecast, 2018 – 2032
10.2.7.2 Market estimates and forecast, by Component, 2018 – 2032
10.2.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.7.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.2.7.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.2.7.5 Market estimates and forecast, by Application, 2018 – 2032
10.2.7.6 Market estimates and forecast, by End-user, 2018 – 2032
10.2.8 Canada
10.2.8.1 Market estimates and forecast, 2018 – 2032
10.2.8.2 Market estimates and forecast, by Component, 2018 – 2032
10.2.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.2.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.2.8.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.2.8.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.2.8.5 Market estimates and forecast, by Application, 2018 – 2032
10.2.8.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3 Europe
10.3.1 Market estimates and forecast, 2018 – 2032
10.3.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.7 UK
10.3.7.1 Market estimates and forecast, 2018 – 2032
10.3.7.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.7.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.7.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.7.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.7.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.8 Germany
10.3.8.1 Market estimates and forecast, 2018 – 2032
10.3.8.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.8.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.8.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.8.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.8.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.9 France
10.3.9.1 Market estimates and forecast, 2018 – 2032
10.3.9.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.9.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.9.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.9.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.9.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.10 Italy
10.3.10.1 Market estimates and forecast, 2018 – 2032
10.3.10.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.10.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.10.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.10.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.10.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.11 Spain
10.3.11.1 Market estimates and forecast, 2018 – 2032
10.3.11.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.11.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.11.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.11.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.11.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.11.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.11.6 Market estimates and forecast, by End-user, 2018 – 2032
10.3.12 Netherlands
10.3.12.1 Market estimates and forecast, 2018 – 2032
10.3.12.2 Market estimates and forecast, by Component, 2018 – 2032
10.3.12.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.3.12.2.2 Market estimates and forecast, by service, 2018 – 2032
10.3.12.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.3.12.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.3.12.5 Market estimates and forecast, by Application, 2018 – 2032
10.3.12.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4 Asia Pacific
10.4.1 Market estimates and forecast, 2018 – 2032
10.4.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.7 China
10.4.7.1 Market estimates and forecast, 2018 – 2032
10.4.7.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.7.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.7.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.7.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.7.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.8 India
10.4.8.1 Market estimates and forecast, 2018 – 2032
10.4.8.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.8.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.8.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.8.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.8.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.9 Japan
10.4.9.1 Market estimates and forecast, 2018 – 2032
10.4.9.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.9.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.9.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.9.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.9.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.10 Southeast Asia
10.4.10.1 Market estimates and forecast, 2018 – 2032
10.4.10.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.10.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.10.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.10.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.10.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.11 South Korea
10.4.11.1 Market estimates and forecast, 2018 – 2032
10.4.11.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.11.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.11.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.11.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.11.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.11.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.11.6 Market estimates and forecast, by End-user, 2018 – 2032
10.4.12 ANZ
10.4.12.1 Market estimates and forecast, 2018 – 2032
10.4.12.2 Market estimates and forecast, by Component, 2018 – 2032
10.4.12.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.4.12.2.2 Market estimates and forecast, by service, 2018 – 2032
10.4.12.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.4.12.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.4.12.5 Market estimates and forecast, by Application, 2018 – 2032
10.4.12.6 Market estimates and forecast, by End-user, 2018 – 2032
10.5 Latin America
10.5.1 Market estimates and forecast, 2018 – 2032
10.5.2 Market estimates and forecast, by Component, 2018 – 2032
10.5.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.5.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.5.5 Market estimates and forecast, by Application, 2018 – 2032
10.5.6 Market estimates and forecast, by End-user, 2018 – 2032
10.5.7 Brazil
10.5.7.1 Market estimates and forecast, 2018 – 2032
10.5.7.2 Market estimates and forecast, by Component, 2018 – 2032
10.5.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.7.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.5.7.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.5.7.5 Market estimates and forecast, by Application, 2018 – 2032
10.5.7.6 Market estimates and forecast, by End-user, 2018 – 2032
10.5.8 Mexico
10.5.8.1 Market estimates and forecast, 2018 – 2032
10.5.8.2 Market estimates and forecast, by Component, 2018 – 2032
10.5.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.8.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.5.8.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.5.8.5 Market estimates and forecast, by Application, 2018 – 2032
10.5.8.6 Market estimates and forecast, by End-user, 2018 – 2032
10.5.9 Argentina
10.5.9.1 Market estimates and forecast, 2018 – 2032
10.5.9.2 Market estimates and forecast, by Component, 2018 – 2032
10.5.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.9.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.5.9.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.5.9.5 Market estimates and forecast, by Application, 2018 – 2032
10.5.9.6 Market estimates and forecast, by End-user, 2018 – 2032
10.5.10 Colombia
10.5.10.1 Market estimates and forecast, 2018 – 2032
10.5.10.2 Market estimates and forecast, by Component, 2018 – 2032
10.5.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.5.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.5.10.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.5.10.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.5.10.5 Market estimates and forecast, by Application, 2018 – 2032
10.5.10.6 Market estimates and forecast, by End-user, 2018 – 2032
10.6 MEA
10.6.1 Market estimates and forecast, 2018 – 2032
10.6.2 Market estimates and forecast, by Component, 2018 – 2032
10.6.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.6.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.6.5 Market estimates and forecast, by Application, 2018 – 2032
10.6.6 Market estimates and forecast, by End-user, 2018 – 2032
10.6.7 South Africa
10.6.7.1 Market estimates and forecast, 2018 – 2032
10.6.7.2 Market estimates and forecast, by Component, 2018 – 2032
10.6.7.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.7.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.7.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.6.7.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.6.7.5 Market estimates and forecast, by Application, 2018 – 2032
10.6.7.6 Market estimates and forecast, by End-user, 2018 – 2032
10.6.8 UAE
10.6.8.1 Market estimates and forecast, 2018 – 2032
10.6.8.2 Market estimates and forecast, by Component, 2018 – 2032
10.6.8.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.8.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.8.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.6.8.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.6.8.5 Market estimates and forecast, by Application, 2018 – 2032
10.6.8.6 Market estimates and forecast, by End-user, 2018 – 2032
10.6.8.7
10.6.9 Saudi Arabia
10.6.9.1 Market estimates and forecast, 2018 – 2032
10.6.9.2 Market estimates and forecast, by Component, 2018 – 2032
10.6.9.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.9.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.9.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.6.9.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.6.9.5 Market estimates and forecast, by Application, 2018 – 2032
10.6.9.6 Market estimates and forecast, by End-user, 2018 – 2032
10.6.10 Israel
10.6.10.1 Market estimates and forecast, 2018 – 2032
10.6.10.2 Market estimates and forecast, by Component, 2018 – 2032
10.6.10.2.1 Market estimates and forecast, by solution, 2018 – 2032
10.6.10.2.2 Market estimates and forecast, by service, 2018 – 2032
10.6.10.3 Market estimates and forecast, by Deployment Model, 2018 – 2032
10.6.10.4 Market estimates and forecast, by Enterprise size, 2018 – 2032
10.6.10.5 Market estimates and forecast, by Application, 2018 – 2032
10.6.10.6 Market estimates and forecast, by End-user, 2018 – 2032
Chapter 11 Company Profiles
11.1 Amelia (IPsoft) US LLC
11.1.1 Business Overview
11.1.2 Financial Data
11.1.3 Product Landscape
11.1.4 Strategic Outlook
11.1.5 SWOT Analysis
11.2 Bigpanda
11.2.1 Business Overview
11.2.2 Financial Data
11.2.3 Product Landscape
11.2.4 Strategic Outlook
11.2.5 SWOT Analysis
11.3 BMC Software Inc.
11.3.1 Business Overview
11.3.2 Financial Data
11.3.3 Product Landscape
11.3.4 Strategic Outlook
11.3.5 SWOT Analysis
11.4 Broadcom Inc.
11.4.1 Business Overview
11.4.2 Financial Data
11.4.3 Product Landscape
11.4.4 Strategic Outlook
11.4.5 SWOT Analysis
11.5 Cisco Systems Inc.
11.5.1 Business Overview
11.5.2 Financial Data
11.5.3 Product Landscape
11.5.4 Strategic Outlook
11.5.5 SWOT Analysis
11.6 Datadog Inc.
11.6.1 Business Overview
11.6.2 Financial Data
11.6.3 Product Landscape
11.6.4 Strategic Outlook
11.6.5 SWOT Analysis
11.7 Digital.ai (CollabNet VersionOne)
11.7.1 Business Overview
11.7.2 Financial Data
11.7.3 Product Landscape
11.7.4 Strategic Outlook
11.7.5 SWOT Analysis
11.8 Digitate
11.8.1 Business Overview
11.8.2 Financial Data
11.8.3 Product Landscape
11.8.4 Strategic Outlook
11.8.5 SWOT Analysis
11.9 Dynatrace Inc.
11.9.1 Business Overview
11.9.2 Financial Data
11.9.3 Product Landscape
11.9.4 Strategic Outlook
11.9.5 SWOT Analysis
11.10 ExtraHop Networks Inc.
11.10.1 Business Overview
11.10.2 Financial Data
11.10.3 Product Landscape
11.10.4 Strategic Outlook
11.10.5 SWOT Analysis
11.10.6 SWOT Analysis
11.11 Harness Inc.
11.11.1 Business Overview
11.11.2 Financial Data
11.11.3 Product Landscape
11.11.4 Strategic Outlook
11.11.5 SWOT Analysis
11.11.6 SWOT Analysis
11.12 IBM Corporation
11.12.1 Business Overview
11.12.2 Financial Data
11.12.3 Product Landscape
11.12.4 Strategic Outlook
11.12.5 SWOT Analysis
11.12.6 SWOT Analysis
11.13 Logz.io Inc.
11.13.1 Business Overview
11.13.2 Financial Data
11.13.3 Product Landscape
11.13.4 Strategic Outlook
11.13.5 SWOT Analysis
11.14 Moogsoft Inc.
11.14.1 Business Overview
11.14.2 Financial Data
11.14.3 Product Landscape
11.14.4 Strategic Outlook
11.14.5 SWOT Analysis
11.15 New Relic Inc.
11.15.1 Business Overview
11.15.2 Financial Data
11.15.3 Product Landscape
11.15.4 Strategic Outlook
11.15.5 SWOT Analysis
11.16 Octillion Power Systems
11.16.1 Business Overview
11.16.2 Financial Data
11.16.3 Product Landscape
11.16.4 Strategic Outlook
11.16.5 SWOT Analysis
11.17 OverOps Inc.
11.17.1 Business Overview
11.17.2 Financial Data
11.17.3 Product Landscape
11.17.4 Strategic Outlook
11.17.5 SWOT Analysis
11.18 PagerDuty Inc.
11.18.1 Business Overview
11.18.2 Financial Data
11.18.3 Product Landscape
11.18.4 Strategic Outlook
11.18.5 SWOT Analysis
11.19 Pico Inc.
11.19.1 Business Overview
11.19.2 Financial Data
11.19.3 Product Landscape
11.19.4 Strategic Outlook
11.19.5 SWOT Analysis
11.19.6 SWOT Analysis
11.20 ScienceLogic Inc.
11.20.1 Business Overview
11.20.2 Financial Data
11.20.3 Product Landscape
11.20.4 Strategic Outlook
11.20.5 SWOT Analysis
11.20.6 SWOT Analysis
11.21 Servicenow
11.21.1 Business Overview
11.21.2 Financial Data
11.21.3 Product Landscape
11.21.4 Strategic Outlook
11.21.5 SWOT Analysis
11.21.6 SWOT Analysis
11.22 Splunk Inc.
11.22.1 Business Overview
11.22.2 Financial Data
11.22.3 Product Landscape