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Global DevOps Tool Market Data Survey Report 2025

Published on: Aug 2017 | From USD $1500 | Published By: HEYREPORTS | Number Of Pages: 104

Summary
DevOps is an approach to software development that enables better collaboration between the development and the operations teams. Basically, it is a methodology that aims to bridge the gap between developers and operations during software development to facilitate a more productive and efficient workflow. Ultimately, it enables continuous delivery to benefit the company at large.Tools that facilitate DevOps and support its principles are referred to as DevOps tools. These include API tools, collaboration and organizational tools, configuration management tools, build automation tools, application and infrastructure monitoring tools etc
The global DevOps Tool market will reach xxx Million USD in 2017 with CAGR xx% 2018-2025. The main contents of the report including:
Global market size and forecast
Regional market size, production data and export & import
Key manufacturers (manufacturing sites, capacity and production, product specifications etc.)
Average market price by SUK
Major applications
Key manufacturers are included based on manufacturing sites, capacity and production, product specifications etc.:
Puppet Labs
Chef
Docker Inc.
Red Hat
Atlassian
Saltstack
CA Technologies
Rackspace
XebiaLabs
VersionOne
Cisco
CollabNet
HP
IBM
Microsoft
Spirent Communications plc
Vmware
DBmaestro
Major applications as follows:
IT
Telecom
BFSI
Government and Public Sector
Others
Regional market size, production data and export & import:
Asia-Pacific
North America
Europe
South America
Middle East & Africa

Table of Contents
1 Global Market Overview
1.1 Scope of Statistics
1.1.1 Scope of Products
1.1.2 Scope of Manufacturers
1.1.3 Scope of Application
1.1.4 Scope of Regions/Countries
1.2 Global Market Size
2 Regional Market
2.1 Regional Production
2.2 Regional Demand
2.3 Regional Trade
3 Key Manufacturers
3.1 Puppet Labs
3.1.2 Company Information
3.1.2 Product Specifications
3.1.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.2 Chef
3.2.1 Company Information
3.2.2 Product Specifications
3.2.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.3 Docker Inc.
3.3.1 Company Information
3.3.2 Product Specifications
3.3.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.4 Red Hat
3.4.1 Company Information
3.4.2 Product Specifications
3.4.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.5 Atlassian
3.5.1 Company Information
3.5.2 Product Specifications
3.5.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.6 Saltstack
3.6.1 Company Information
3.6.2 Product Specifications
3.6.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.7 CA Technologies
3.7.1 Company Information
3.7.2 Product Specifications
3.7.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.8 Rackspace
3.8.1 Company Information
3.8.2 Product Specifications
3.8.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.9 XebiaLabs
3.9.1 Company Information
3.9.2 Product Specifications
3.9.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.10 VersionOne
3.10.1 Company Information
3.10.2 Product Specifications
3.10.3 Business Data (Capacity, Sales Revenue, Volume, Price, Cost and Margin)
3.11 Cisco
3.12 CollabNet
3.13 HP
3.14 IBM
3.15 Microsoft
3.16 Spirent Communications plc
3.17 Vmware
3.18 DBmaestro
4 Major Application
4.1  IT
4.1.1 Overview
4.1.2  IT Market Size and Forecast
4.2 Telecom
4.2.1 Overview
4.2.2 Telecom Market Size and Forecast
4.3 BFSI
4.3.1 Overview
4.3.2 BFSI Market Size and Forecast
4.4 Government and Public Sector
4.4.1 Overview
4.4.2 Government and Public Sector Market Size and Forecast
4.5 Others
4.5.1 Overview
4.5.2 Others Market Size and Forecast
5 Market Price
5.1 Overview
5.2 Price by SUK
6 Conclusion

Tab Regional Production 2011-2017 (Value)
Tab Regional Production 2011-2017 (Volume)
Tab Regional Demand and CAGR 2011-2017 (Value)
Tab Regional Demand and CAGR 2011-2017 (Volume)
Tab Regional Demand Forecast and CAGR 2018-2025 (Value)
Tab Regional Demand Forecast and CAGR 2018-2025 (Volume)
Tab Regional Export 2011-2017 (Value)
Tab Regional Export 2011-2017 (Volume)
Tab Regional Import 2011-2017 (Value)
Tab Regional Import 2011-2017 (Volume)
Tab Sales Revenue, Volume, Price, Cost and Margin of Puppet Labs
Tab Sales Revenue, Volume, Price, Cost and Margin of Chef
Tab Sales Revenue, Volume, Price, Cost and Margin of Docker Inc.
Tab Sales Revenue, Volume, Price, Cost and Margin of Red Hat
Tab Sales Revenue, Volume, Price, Cost and Margin of Atlassian
Tab Sales Revenue, Volume, Price, Cost and Margin of Saltstack
Tab Sales Revenue, Volume, Price, Cost and Margin of CA Technologies
Tab Sales Revenue, Volume, Price, Cost and Margin of Rackspace
Tab Sales Revenue, Volume, Price, Cost and Margin of XebiaLabs
Tab Sales Revenue, Volume, Price, Cost and Margin of VersionOne
Tab Sales Revenue, Volume, Price, Cost and Margin of Cisco
Tab Sales Revenue, Volume, Price, Cost and Margin of CollabNet
Tab Sales Revenue, Volume, Price, Cost and Margin of HP
Tab Sales Revenue, Volume, Price, Cost and Margin of IBM
Tab Sales Revenue, Volume, Price, Cost and Margin of Microsoft
Tab Sales Revenue, Volume, Price, Cost and Margin of Spirent Communications plc
Tab Sales Revenue, Volume, Price, Cost and Margin of Vmware
Tab Sales Revenue, Volume, Price, Cost and Margin of DBmaestro
Tab Market Price by Region
Tab Market Price by Manufacturers
Tab Market Price by Application
Tab Price by SUK (Popular Goods on the Market) Fig Global DevOps Tool Market Size and CAGR 2011-2017 (Value)
Fig Global DevOps Tool Market Size and CAGR 2011-2017 (Volume)
Fig Global DevOps Tool Market Forecast and CAGR 2018-2025 (Value)
Fig Global DevOps Tool Market Forecast and CAGR 2018-2025 (Volume)
Fig IT Market Size and CAGR 2011-2017 (Value)
Fig IT Market Size and CAGR 2011-2017 (Volume)
Fig IT Market Forecast and CAGR 2018-2025 (Value)
Fig IT Market Forecast and CAGR 2018-2025 (Volume)
Fig Telecom Market Size and CAGR 2011-2017 (Value)
Fig Telecom Market Size and CAGR 2011-2017 (Volume)
Fig Telecom Market Forecast and CAGR 2018-2025 (Value)
Fig Telecom Market Forecast and CAGR 2018-2025 (Volume)
Fig BFSI Market Size and CAGR 2011-2017 (Value)
Fig BFSI Market Size and CAGR 2011-2017 (Volume)
Fig BFSI Market Forecast and CAGR 2018-2025 (Value)
Fig BFSI Market Forecast and CAGR 2018-2025 (Volume)
Fig Government and Public Sector Market Size and CAGR 2011-2017 (Value)
Fig Government and Public Sector Market Size and CAGR 2011-2017 (Volume)
Fig Government and Public Sector Market Forecast and CAGR 2018-2025 (Value)
Fig Government and Public Sector Market Forecast and CAGR 2018-2025 (Volume)
Fig Others Market Size and CAGR 2011-2017 (Value)
Fig Others Market Size and CAGR 2011-2017 (Volume)
Fig Others Market Forecast and CAGR 2018-2025 (Value)
Fig Others Market Forecast and CAGR 2018-2025 (Volume)
Fig Global Market Price 2011-2017
Fig Global Market Price 2018-2025

SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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