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DevOps: Market Opportunities and Forecasts 2015 – 2020

DevOps: Market Opportunities and Forecasts 2015 – 2020

DevOps is an approach to software development that relies upon effective communication, collaboration, integration, automation, and cooperation between software development and operations organizations. It represents a very important option for organizing teams in the evolving application economy. Awareness and understanding of DevOps, as well as possession of supporting skills, are critically important for IT leaders and their companies.

This research evaluates the DevOps ecosystem, its impact in the enterprise, and provides case study analysis. The report assesses various companies in the DevOps ecosystem and provides specific recommendations for solution providers. This report evaluates DevOps including the business drivers, resource requirements, planning, strategy, and execution.

The report also assesses the future outlook for DevOps in terms of IT adoption and relationship to ICT software development. The report also provides forecasting for 2015 – 2020 including total global and regional markets, DevOps revenue by toolset, consulting, and proprietary vs. OpenStack solutions. The report also includes DevOps benefit metrics (both general and specific to enterprise). All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

App Developers
Software Developers
Systems Integrator Companies
DevOps Toolset Solution Provider
DevOps Consulting Solution Provider
Technology Companies Consulting Firms
Enterprise IT Management Organizations

Companies in Report:

Amazon Web Services
Ansible
Atlassian
CA
CF Engine
Chef
Cigniti Technologies
Cisco
Clarive Software
Codenvy
CollabNet
CoreOS
DBmaestro
Docker
FOX Sports
Graylog
HP
IBM
Inaka
Inedo
Microsoft
MidVision
Puppet
Rackspace
Rally
Redhat
SaltStack
ScriptRock
ServiceNow
SmartBear
SpaceX
Spirent
Splunk
TaskTop
VersionOne
VMware
XebiaLabs

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Introduction
1.1 Executive Summary
1.2 Research Objectives
1.3 Questions Answered
1.4 Research Methodology
1.5 Target Audience
1.6 Companies Mentioned
2.0 Enterprise It Trends And Devops
2.1 Enterprise It Trend
2.2 It Modernization And Cloud Nightmare
2.3 Demand Led It Delivery Approach
2.4 Changing Pattern Of Strategic Objectives
2.5 Enterprise It Challenges
2.6 Agility - Stability Paradox
2.7 Emergence Of Devops
2.8 Transforming Existing It Methodology To Devops Appraoch
3.0 Devops Ecosystem
3.1 What Is Devops?
3.2 Features Of Devops
3.2.1 Collaborative Development
3.2.2 Automated Test & Configuration
3.2.3 Continuous Integration
3.2.4 Continuous Monitoring And Feedback
3.3 Benefits Of Devops
3.3.1 Business Innovation
3.3.2 It Deployment
3.4 Devops Lifecycle
3.5 Devops Challenges
3.6 It Service Management (Itsm) And Devops
3.7 Sdn And Devops
3.8 Data Virtualization And Devops
3.9 Service Virtualization And Devops
3.10 Managed Service And Devops
3.11 Application Monitoring And Devops
3.12 Managed Private Paas And Devops
3.13 Smac Technologies And Devops
3.14 Mobile Devops
3.15 Devops And Cloud, Iot, Big Data & Sds
3.16 Management Layer And Devops Revenue
3.17 Devops Landscape By Layer
4.0 Devops Market Driver
4.1 Growth Drivers
4.1.1 Enterprise Transition
4.1.2 Reduction In It Spending
4.1.3 Software And Telecom
4.1.4 Hybrid Cloud
4.1.5 Data Center
4.1.6 Everything As A Service
4.2 Technology Driver
4.2.1 Sonarqube
4.2.2 Continuous Integration (Ci)
4.2.3 Lean Startup
4.2.4 Agile Software Development
4.2.5 Automation
4.2.6 Cloud Computing
4.2.7 Sdn
4.2.8 Virtualization
4.2.9 Optimization
4.2.10 Infrastructure As Code (Iac)
4.2.11 Openstack
5.0 Devops In Enterprise
5.1 Devops Environment
5.2 Enterprise Risk
5.3 Building Devops Culture
5.3.1 It Skill Gap
5.3.2 Devop Blueprint
5.3.3 Technical Investment
5.3.4 Change Management
5.3.5 Automation
5.3.6 Traditional Barriers
5.3.7 Customer Facing System
5.3.8 Legacy System Integration
5.3.9 Collaborative Integration
5.4 Real Time Devops
5.5 Enterprise Challenges
5.6 Devops Approach And Steps
5.7 Devops Security
5.8 Cyber Security
5.9 Telecom Devops Culture
5.10 Enterprise Impact
5.10.1 Agile Development
5.10.2 It Operation Management
5.10.3 Digital Agility
5.11 Devops Implementation
5.12 It Performance
5.13 It Performance Metrics
5.14 Size Of The Enterprise
5.15 Devops As Career
5.16 Benefit Metrics
6.0 Devops Implementation Case Studies
6.1 Spacex
6.2 West Virginia State
6.3 Fox Sports
6.4 Iproperty
6.5 Graylog
6.6 Rabobank
6.7 Nationwide Insurance
7.0 Devops Market Forecasts 2015 - 2020
7.1 Global Devops Market Revenue 2015 - 2020
7.2 Devops Toolsets Paas Revenue 2015 - 2020 57
7.3 Devopvs Market Revenue By Region 2015 – 2020
7.4 Openstack Vendor Revenue Including Devops Tools 2015 – 2020
7.5 Global Enterprise Investment 2015 – 2020
7.6 Devops Enterprise Adoption 2016 – 2020
7.7 Devops Benefit Metrics
7.8 Devops Roi Metrics For Business And It
8.0 Devops Vendors
8.1 Ibm
8.2 Cigniti Technologies
8.3 Ansible
8.4 Clarive Software
8.5 Docker
8.6 Inedo
8.7 Scriptrock
8.8 Amazon Web Services
8.9 Coreos
8.10 Chef
8.11 Puppet Lab
8.12 Saltstack
8.13 Atlassian
8.14 Tasktop
8.15 Codenvy
8.16 Smartbear
8.17 Ca Technologies
8.18 Servicenow
8.19 Cf Engine
8.20 Cisco
8.21 Collabnet
8.22 Dbmaestro
8.23 Hp
8.24 Microsoft
8.25 Rackspace
8.26 Rally
8.27 Redhat
8.28 Spirent
8.29 Splunk
8.30 Versionone
8.31 Vmware
8.32 Xebialabs
8.33 Midvision
8.34 Inaka
8.35 Cakesolutions
8.36 Github
9.0 Conclusions And Recommendations
9.1 Recommendations For Enterprise
9.2 Recommendations For Toolset Vendors
9.3 Recommendations For Independent Practitioners
Figures
Figure 1: DevOps Concept and Ecosystem
Figure 2: DevOps Features driven by Philosophy
Figure 3: DevOps Lifecycle Diagram
Figure 4: Data Virtualization Platform through Masking
Figure 5: DevOps Walls inside Enterprise
Figure 6: DevOps and SMAC Integration Diagram
Figure 7: DevOps Layer
Figure 8: DevOps Companies by Layer
Figure 9: DevOps Culture Components
Figure 10: Real Time DevOps Process and Benefits
Figure 11: Security at DevOps Process
Figure 12: DevOps Implementation Framework
Figure 13: DevOps Benefit Metrics
Figure 14: DevOps Adoption Trend of Global 2000 Organization
Figure 15: Cigniti DevOps QA Framework
Figure 16: Ansible Automation to Environment Framework
Figure 17: Clarive DevOps Solution Model
Figure 18: Docker DevOps Model
Figure 19: Chef Kung Fu Style DevOps Principles
Figure 20: SaltStack DevOps Integration Framework
Figure 21: SmartBear API Powered DevOps Diagram
Figure 22: CollabNet DevOps Framework
Figure 23: HP DevOps Framework
Figure 24: RedHat DevOps Approach
Tables
Table 1: DevOps Enterprise Challenges
Table 2: Benefits of Managed Services to DevOps Enterprise
Table 3: Application Monitoring Tools for DevOps
Table 4: Global DevOps Revenue by Toolsets and Consulting 2015 – 2020
Table 5: Global DevOps Toolsets Rev: Proprietary vs. OpenStack 2015 – 2020
Table 6: DevOps Market Revenue by NA, APAC, Europe, Others 2015 – 2020
Table 7: OpenStack Vendor Revenue by Category 2015 – 2020
Table 8: Global IT Investment by Category 2015 – 2020
Table 9: DevOps Benefit Metrics
Table 10: DevOps ROI Metrics for Business
Table 11: DevOps ROI Metrics for IT

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