Global Cloud Infrastructure Automation Software
Global Cloud Infrastructure Automation Software

Cloud Infrastructure Automation Software Comprehensive Study by Type (Code to Automation, Management and Optimization), Application (Developers, Architects, DevOps Teams), Deployment Model (Cloud, On-Premises) Players and Region - Global Market Outlook to 2025

Cloud Infrastructure Automation Software Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Aug 2020 Edition 224 Pages 211 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global Cloud Infrastructure Automation Software Market Overview:
Cloud infrastructure automation technology is used to provision servers and computer data centers through metadata files, as opposed to physical configuration. Developers will create a templated infrastructure to run their application code, review code, and integrate it. These templates can then be reused and generated automatically, minimizing a developer’s need to reconfigure infrastructure. Companies use cloud infrastructure automation technology in DevOps practices to reuse pre-configured infrastructure and ensure configuration visibility at all times.

Market Drivers
  • Easy integration of complex and heterogeneous cloud environments
  • Rising adoption of hybrid cloud


Restraints
  • Rising Threats and Data Security Concerns

Opportunities
  • An Increasing Number of Enterprises Uses Cloud System
  • New Business Avenues for MSPs

Challenges
  • Lack of Technical Proficiency among Enterprises


Competitive Landscape:

Some of the key players profiled in the report are AWS (United States), Google (United States), Ansible (United States), Microsoft Corporation (United States), Puppet Enterprise (United States), HashiCorp Terraform (United States), SaltStack (United States), IBM Corporation (United States), QualiSystems LTD (United States), CenturyLink, Inc. (United States) and CFEngine (United States). Additionally, following companies can also be profiled that are part of our coverage like VMware Inc. (Palo Alto, California, U.S.); IBM Corporation (Armonk, New York, U.S.); Microsoft Corporation (Redmond, Washington, U.S.);HP Enterprise Company (Palo Alto, California, U.S.); Cisco Systems, Inc. (San Jose, California, U.S.); BMC Software (Houston, Texas, U.S.); Oracle Corporation (Redwood City, California, U.S.); Red Hat, Inc. (Raleigh, North Carolina, U.S.); CA Technologies (New York City, New York, U.S.); and ServiceNow, Inc. (Santa Clara, California, U.S.). Other. Analyst at AdvanceMarketAnalytics see United States Players to retain maximum share of Global Cloud Infrastructure Automation Software market by 2025. Considering Market by Deployment Model, the sub-segment i.e. Cloud will boost the Cloud Infrastructure Automation Software market.

Market Highlights:


In June 2020, HashiCorp®, the leader in multi-cloud infrastructure automation software, at HashiConf Digital announced its new flagship cloud offering HashiCorp Cloud Platform (HCP), a fully managed platform offering the HashiCorp products as a service to automate infrastructure on any cloud.

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be provided prior to purchase

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Cloud Infrastructure Automation Software market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Cloud Infrastructure Automation Software market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Cloud vendors, Application design and development service providers, System integrators/migration service providers, Consultancy firms/advisory firms, Data integration service providers and Managed service providers.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.
Report Objectives / Segmentation Covered
By Type
  • Code to Automation
  • Management and Optimization
By Application
  • Developers
  • Architects
  • DevOps Teams
By Deployment Model
  • Cloud
  • On-Premises

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Easy integration of complex and heterogeneous cloud environments
      • 3.2.2. Rising adoption of hybrid cloud
    • 3.3. Market Challenges
      • 3.3.1. Lack of Technical Proficiency among Enterprises
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Cloud Infrastructure Automation Software, by Type, Application, Deployment Model and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Cloud Infrastructure Automation Software (Value)
      • 5.2.1. Global Cloud Infrastructure Automation Software by: Type (Value)
        • 5.2.1.1. Code to Automation
        • 5.2.1.2. Management and Optimization
      • 5.2.2. Global Cloud Infrastructure Automation Software by: Application (Value)
        • 5.2.2.1. Developers
        • 5.2.2.2. Architects
        • 5.2.2.3. DevOps Teams
      • 5.2.3. Global Cloud Infrastructure Automation Software by: Deployment Model (Value)
        • 5.2.3.1. Cloud
        • 5.2.3.2. On-Premises
      • 5.2.4. Global Cloud Infrastructure Automation Software Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Cloud Infrastructure Automation Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. AWS (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Google (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Ansible (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Microsoft Corporation (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Puppet Enterprise (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. HashiCorp Terraform (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. SaltStack (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. IBM Corporation (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. QualiSystems LTD (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. CenturyLink, Inc. (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. CFEngine (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
  • 7. Global Cloud Infrastructure Automation Software Sale, by Type, Application, Deployment Model and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Cloud Infrastructure Automation Software (Value)
      • 7.2.1. Global Cloud Infrastructure Automation Software by: Type (Value)
        • 7.2.1.1. Code to Automation
        • 7.2.1.2. Management and Optimization
      • 7.2.2. Global Cloud Infrastructure Automation Software by: Application (Value)
        • 7.2.2.1. Developers
        • 7.2.2.2. Architects
        • 7.2.2.3. DevOps Teams
      • 7.2.3. Global Cloud Infrastructure Automation Software by: Deployment Model (Value)
        • 7.2.3.1. Cloud
        • 7.2.3.2. On-Premises
      • 7.2.4. Global Cloud Infrastructure Automation Software Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Cloud Infrastructure Automation Software: by Type(USD Million)
  • Table 2. Cloud Infrastructure Automation Software Code to Automation , by Region USD Million (2014-2019)
  • Table 3. Cloud Infrastructure Automation Software Management and Optimization , by Region USD Million (2014-2019)
  • Table 4. Cloud Infrastructure Automation Software: by Application(USD Million)
  • Table 5. Cloud Infrastructure Automation Software Developers , by Region USD Million (2014-2019)
  • Table 6. Cloud Infrastructure Automation Software Architects , by Region USD Million (2014-2019)
  • Table 7. Cloud Infrastructure Automation Software DevOps Teams , by Region USD Million (2014-2019)
  • Table 8. Cloud Infrastructure Automation Software: by Deployment Model(USD Million)
  • Table 9. Cloud Infrastructure Automation Software Cloud , by Region USD Million (2014-2019)
  • Table 10. Cloud Infrastructure Automation Software On-Premises , by Region USD Million (2014-2019)
  • Table 11. South America Cloud Infrastructure Automation Software, by Country USD Million (2014-2019)
  • Table 12. South America Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 13. South America Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 14. South America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 15. Brazil Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 16. Brazil Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 17. Brazil Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 18. Argentina Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 19. Argentina Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 20. Argentina Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 21. Rest of South America Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 22. Rest of South America Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 23. Rest of South America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 24. Asia Pacific Cloud Infrastructure Automation Software, by Country USD Million (2014-2019)
  • Table 25. Asia Pacific Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 26. Asia Pacific Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 27. Asia Pacific Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 28. China Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 29. China Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 30. China Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 31. Japan Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 32. Japan Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 33. Japan Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 34. India Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 35. India Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 36. India Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 37. South Korea Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 38. South Korea Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 39. South Korea Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 40. Taiwan Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 41. Taiwan Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 42. Taiwan Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 43. Australia Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 44. Australia Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 45. Australia Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 46. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 47. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 48. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 49. Europe Cloud Infrastructure Automation Software, by Country USD Million (2014-2019)
  • Table 50. Europe Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 51. Europe Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 52. Europe Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 53. Germany Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 54. Germany Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 55. Germany Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 56. France Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 57. France Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 58. France Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 59. Italy Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 60. Italy Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 61. Italy Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 62. United Kingdom Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 63. United Kingdom Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 64. United Kingdom Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 65. Netherlands Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 66. Netherlands Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 67. Netherlands Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 68. Rest of Europe Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 69. Rest of Europe Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 70. Rest of Europe Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 71. MEA Cloud Infrastructure Automation Software, by Country USD Million (2014-2019)
  • Table 72. MEA Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 73. MEA Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 74. MEA Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 75. Middle East Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 76. Middle East Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 77. Middle East Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 78. Africa Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 79. Africa Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 80. Africa Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 81. North America Cloud Infrastructure Automation Software, by Country USD Million (2014-2019)
  • Table 82. North America Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 83. North America Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 84. North America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 85. United States Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 86. United States Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 87. United States Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 88. Canada Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 89. Canada Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 90. Canada Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 91. Mexico Cloud Infrastructure Automation Software, by Type USD Million (2014-2019)
  • Table 92. Mexico Cloud Infrastructure Automation Software, by Application USD Million (2014-2019)
  • Table 93. Mexico Cloud Infrastructure Automation Software, by Deployment Model USD Million (2014-2019)
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Cloud Infrastructure Automation Software: by Type(USD Million)
  • Table 106. Cloud Infrastructure Automation Software Code to Automation , by Region USD Million (2020-2025)
  • Table 107. Cloud Infrastructure Automation Software Management and Optimization , by Region USD Million (2020-2025)
  • Table 108. Cloud Infrastructure Automation Software: by Application(USD Million)
  • Table 109. Cloud Infrastructure Automation Software Developers , by Region USD Million (2020-2025)
  • Table 110. Cloud Infrastructure Automation Software Architects , by Region USD Million (2020-2025)
  • Table 111. Cloud Infrastructure Automation Software DevOps Teams , by Region USD Million (2020-2025)
  • Table 112. Cloud Infrastructure Automation Software: by Deployment Model(USD Million)
  • Table 113. Cloud Infrastructure Automation Software Cloud , by Region USD Million (2020-2025)
  • Table 114. Cloud Infrastructure Automation Software On-Premises , by Region USD Million (2020-2025)
  • Table 115. South America Cloud Infrastructure Automation Software, by Country USD Million (2020-2025)
  • Table 116. South America Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 117. South America Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 118. South America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 119. Brazil Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 120. Brazil Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 121. Brazil Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 122. Argentina Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 123. Argentina Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 124. Argentina Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 125. Rest of South America Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 126. Rest of South America Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 127. Rest of South America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 128. Asia Pacific Cloud Infrastructure Automation Software, by Country USD Million (2020-2025)
  • Table 129. Asia Pacific Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 130. Asia Pacific Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 131. Asia Pacific Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 132. China Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 133. China Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 134. China Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 135. Japan Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 136. Japan Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 137. Japan Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 138. India Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 139. India Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 140. India Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 141. South Korea Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 142. South Korea Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 143. South Korea Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 144. Taiwan Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 145. Taiwan Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 146. Taiwan Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 147. Australia Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 148. Australia Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 149. Australia Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 150. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 151. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 152. Rest of Asia-Pacific Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 153. Europe Cloud Infrastructure Automation Software, by Country USD Million (2020-2025)
  • Table 154. Europe Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 155. Europe Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 156. Europe Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 157. Germany Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 158. Germany Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 159. Germany Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 160. France Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 161. France Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 162. France Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 163. Italy Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 164. Italy Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 165. Italy Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 166. United Kingdom Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 167. United Kingdom Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 168. United Kingdom Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 169. Netherlands Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 170. Netherlands Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 171. Netherlands Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 172. Rest of Europe Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 173. Rest of Europe Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 174. Rest of Europe Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 175. MEA Cloud Infrastructure Automation Software, by Country USD Million (2020-2025)
  • Table 176. MEA Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 177. MEA Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 178. MEA Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 179. Middle East Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 180. Middle East Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 181. Middle East Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 182. Africa Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 183. Africa Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 184. Africa Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 185. North America Cloud Infrastructure Automation Software, by Country USD Million (2020-2025)
  • Table 186. North America Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 187. North America Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 188. North America Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 189. United States Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 190. United States Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 191. United States Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 192. Canada Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 193. Canada Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 194. Canada Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 195. Mexico Cloud Infrastructure Automation Software, by Type USD Million (2020-2025)
  • Table 196. Mexico Cloud Infrastructure Automation Software, by Application USD Million (2020-2025)
  • Table 197. Mexico Cloud Infrastructure Automation Software, by Deployment Model USD Million (2020-2025)
  • Table 198. Research Programs/Design for This Report
  • Table 199. Key Data Information from Secondary Sources
  • Table 200. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Cloud Infrastructure Automation Software: by Type USD Million (2014-2019)
  • Figure 5. Global Cloud Infrastructure Automation Software: by Application USD Million (2014-2019)
  • Figure 6. Global Cloud Infrastructure Automation Software: by Deployment Model USD Million (2014-2019)
  • Figure 7. South America Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 8. Asia Pacific Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 9. Europe Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 10. MEA Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 11. North America Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 12. Global Cloud Infrastructure Automation Software share by Players 2019 (%)
  • Figure 13. Global Cloud Infrastructure Automation Software share by Players (Top 3) 2019(%)
  • Figure 14. Global Cloud Infrastructure Automation Software share by Players (Top 5) 2019(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 17. AWS (United States) Revenue: by Geography 2019
  • Figure 18. Google (United States) Revenue, Net Income and Gross profit
  • Figure 19. Google (United States) Revenue: by Geography 2019
  • Figure 20. Ansible (United States) Revenue, Net Income and Gross profit
  • Figure 21. Ansible (United States) Revenue: by Geography 2019
  • Figure 22. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft Corporation (United States) Revenue: by Geography 2019
  • Figure 24. Puppet Enterprise (United States) Revenue, Net Income and Gross profit
  • Figure 25. Puppet Enterprise (United States) Revenue: by Geography 2019
  • Figure 26. HashiCorp Terraform (United States) Revenue, Net Income and Gross profit
  • Figure 27. HashiCorp Terraform (United States) Revenue: by Geography 2019
  • Figure 28. SaltStack (United States) Revenue, Net Income and Gross profit
  • Figure 29. SaltStack (United States) Revenue: by Geography 2019
  • Figure 30. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 31. IBM Corporation (United States) Revenue: by Geography 2019
  • Figure 32. QualiSystems LTD (United States) Revenue, Net Income and Gross profit
  • Figure 33. QualiSystems LTD (United States) Revenue: by Geography 2019
  • Figure 34. CenturyLink, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 35. CenturyLink, Inc. (United States) Revenue: by Geography 2019
  • Figure 36. CFEngine (United States) Revenue, Net Income and Gross profit
  • Figure 37. CFEngine (United States) Revenue: by Geography 2019
  • Figure 38. Global Cloud Infrastructure Automation Software: by Type USD Million (2020-2025)
  • Figure 39. Global Cloud Infrastructure Automation Software: by Application USD Million (2020-2025)
  • Figure 40. Global Cloud Infrastructure Automation Software: by Deployment Model USD Million (2020-2025)
  • Figure 41. South America Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 42. Asia Pacific Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 43. Europe Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 44. MEA Cloud Infrastructure Automation Software Share (%), by Country
  • Figure 45. North America Cloud Infrastructure Automation Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • AWS (United States)
  • Google (United States)
  • Ansible (United States)
  • Microsoft Corporation (United States)
  • Puppet Enterprise (United States)
  • HashiCorp Terraform (United States)
  • SaltStack (United States)
  • IBM Corporation (United States)
  • QualiSystems LTD (United States)
  • CenturyLink, Inc. (United States)
  • CFEngine (United States)
Additional players considered in the study are as follows:
VMware Inc. (Palo Alto, California, U.S.); IBM Corporation (Armonk, New York, U.S.); Microsoft Corporation (Redmond, Washington, U.S.);HP Enterprise Company (Palo Alto, California, U.S.); Cisco Systems, Inc. (San Jose, California, U.S.); BMC Software (Houston, Texas, U.S.); Oracle Corporation (Redwood City, California, U.S.); Red Hat, Inc. (Raleigh, North Carolina, U.S.); CA Technologies (New York City, New York, U.S.); and ServiceNow, Inc. (Santa Clara, California, U.S.). Other
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