Global Cloud-native Software
Global Cloud-native Software

Cloud-native Software Comprehensive Study by Type (Public Cloud, Private Cloud, Hybrid Cloud, Multi-Cloud), Application (Manufacturing, BFSI, Healthcare, Aerospace and Defense, IT & Telecom, Others), Organization Size (Small & Medium Size, Large) Players and Region - Global Market Outlook to 2025

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

May 2020 Edition 247 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Cloud-native Software Market Scope
Cloud-native is a term used to represent container situated environments. Cloud-native technologies are used to develop applications developed with services packaged in cans, expanded as micro services, and managed on elastic support through agile DevOps methods and consecutive delivery workflows.

The market study is being classified by Type (Public Cloud, Private Cloud, Hybrid Cloud and Multi-Cloud), by Application (Manufacturing, BFSI, Healthcare, Aerospace and Defense, IT & Telecom and Others) and major geographies with country level break-up.

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Cloud-native Software market throughout the predicted period.

IBM (United States), Nokia (Finland), Onica (United States), Microsoft Azure (United States), Google (United States), Oracle (United States), SAP (Germany), AWS (United States), Symantec (United States), VMWare (United States), Salesforce (United States), HCL Technologies (India), Amadeus (Spain), Pivotal Software (United States) and Accenture (Ireland) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are ScienceSoft (United States), Infosys (India), Bacancy Technology (India), Cloudhelix (United Kingdom), Computaris (United States), Contino (United Kingdom) and Infostrech (India).

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Cloud-native Software market by Type, Application and Region.

On the basis of geography, the market of Cloud-native Software has been segmented into 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).

Market Leaders and their expansionary development strategies
On 24 Feb 2020, Nokia introduced two new cloud-native software applications that help communication service provider (CSPs) operate their networks more efficiently and effectively, and drive new revenue opportunities. Faced with growing competition and the roll-out of complex, virtualized 5G networks that can generate up to a 100-fold increase in network actions, CSPs require automated, service-centric operations that prioritize the customer experience.
On 18 Nov 2019, Nokia announced that its Common Software Foundation platform now supports Amazon Web Services (AWS). The result offers communication service providers (CSPs) additional deployment choice and faster time to service when rolling out new 5G or digital services. The announcement, which builds on an existing relationship with AWS, marks the next step in Nokia’s move to deliver cloud-native network functions and applications, enabled by the company’s Common Software Foundation (CSF), which makes Nokia’s software products easier to deploy, integrate, use and service.


Market Trend
  • Cloud Native Migration to the Cloud Will Become a Trend
  • Public Cloud Is the Most Preferred Destination While the Hybrid Cloud Is Gaining Momentum

Market Drivers
  • Transform the Business for Greater Agility and Flexibility
  • Optimize Operational Efficiency
  • Adopt an API (Application Programmer Interface) Ecosystem

Opportunities
  • The Growing Demand from the Emerging Economies

Restraints
  • Intense Competition and Market Pressure

Challenges
  • Lack of Maturity and Interoperability of Many Open Source Technologies
  • No Clear Best Practices or Architectural Standards
  • Limited Choices for Leveraging External Domain Expertise and Support
  • The Complexity of Managing Ongoing Operations


Key Target Audience
Cloud-Native Software Companies, Regulatory & Government Bodies, Potential Investors, End Users, Downstream Vendors and Others

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
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 informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • Multi-Cloud
By Application
  • Manufacturing
  • BFSI
  • Healthcare
  • Aerospace and Defense
  • IT & Telecom
  • Others
By Organization Size
  • Small & Medium Size
  • Large

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. Transform the Business for Greater Agility and Flexibility
      • 3.2.2. Optimize Operational Efficiency
      • 3.2.3. Adopt an API (Application Programmer Interface) Ecosystem
    • 3.3. Market Challenges
      • 3.3.1. Lack of Maturity and Interoperability of Many Open Source Technologies
      • 3.3.2. No Clear Best Practices or Architectural Standards
      • 3.3.3. Limited Choices for Leveraging External Domain Expertise and Support
      • 3.3.4. The Complexity of Managing Ongoing Operations
    • 3.4. Market Trends
      • 3.4.1. Cloud Native Migration to the Cloud Will Become a Trend
      • 3.4.2. Public Cloud Is the Most Preferred Destination While the Hybrid Cloud Is Gaining Momentum
  • 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-native Software, by Type, Application, Organization Size and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Cloud-native Software (Value)
      • 5.2.1. Global Cloud-native Software by: Type (Value)
        • 5.2.1.1. Public Cloud
        • 5.2.1.2. Private Cloud
        • 5.2.1.3. Hybrid Cloud
        • 5.2.1.4. Multi-Cloud
      • 5.2.2. Global Cloud-native Software by: Application (Value)
        • 5.2.2.1. Manufacturing
        • 5.2.2.2. BFSI
        • 5.2.2.3. Healthcare
        • 5.2.2.4. Aerospace and Defense
        • 5.2.2.5. IT & Telecom
        • 5.2.2.6. Others
      • 5.2.3. Global Cloud-native Software by: Organization Size (Value)
        • 5.2.3.1. Small & Medium Size
        • 5.2.3.2. Large
      • 5.2.4. Global Cloud-native 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-native 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. IBM (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. Nokia (Finland)
        • 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. Onica (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 Azure (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. Google (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. Oracle (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. SAP (Germany)
        • 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. AWS (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. Symantec (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. VMWare (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. Salesforce (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
      • 6.4.12. HCL Technologies (India)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Amadeus (Spain)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Pivotal Software (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Accenture (Ireland)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
  • 7. Global Cloud-native Software Sale, by Type, Application, Organization Size and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Cloud-native Software (Value)
      • 7.2.1. Global Cloud-native Software by: Type (Value)
        • 7.2.1.1. Public Cloud
        • 7.2.1.2. Private Cloud
        • 7.2.1.3. Hybrid Cloud
        • 7.2.1.4. Multi-Cloud
      • 7.2.2. Global Cloud-native Software by: Application (Value)
        • 7.2.2.1. Manufacturing
        • 7.2.2.2. BFSI
        • 7.2.2.3. Healthcare
        • 7.2.2.4. Aerospace and Defense
        • 7.2.2.5. IT & Telecom
        • 7.2.2.6. Others
      • 7.2.3. Global Cloud-native Software by: Organization Size (Value)
        • 7.2.3.1. Small & Medium Size
        • 7.2.3.2. Large
      • 7.2.4. Global Cloud-native 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-native Software: by Type(USD Million)
  • Table 2. Cloud-native Software Public Cloud , by Region USD Million (2014-2019)
  • Table 3. Cloud-native Software Private Cloud , by Region USD Million (2014-2019)
  • Table 4. Cloud-native Software Hybrid Cloud , by Region USD Million (2014-2019)
  • Table 5. Cloud-native Software Multi-Cloud , by Region USD Million (2014-2019)
  • Table 6. Cloud-native Software: by Application(USD Million)
  • Table 7. Cloud-native Software Manufacturing , by Region USD Million (2014-2019)
  • Table 8. Cloud-native Software BFSI , by Region USD Million (2014-2019)
  • Table 9. Cloud-native Software Healthcare , by Region USD Million (2014-2019)
  • Table 10. Cloud-native Software Aerospace and Defense , by Region USD Million (2014-2019)
  • Table 11. Cloud-native Software IT & Telecom , by Region USD Million (2014-2019)
  • Table 12. Cloud-native Software Others , by Region USD Million (2014-2019)
  • Table 13. Cloud-native Software: by Organization Size(USD Million)
  • Table 14. Cloud-native Software Small & Medium Size , by Region USD Million (2014-2019)
  • Table 15. Cloud-native Software Large , by Region USD Million (2014-2019)
  • Table 16. South America Cloud-native Software, by Country USD Million (2014-2019)
  • Table 17. South America Cloud-native Software, by Type USD Million (2014-2019)
  • Table 18. South America Cloud-native Software, by Application USD Million (2014-2019)
  • Table 19. South America Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 20. Brazil Cloud-native Software, by Type USD Million (2014-2019)
  • Table 21. Brazil Cloud-native Software, by Application USD Million (2014-2019)
  • Table 22. Brazil Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 23. Argentina Cloud-native Software, by Type USD Million (2014-2019)
  • Table 24. Argentina Cloud-native Software, by Application USD Million (2014-2019)
  • Table 25. Argentina Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 26. Rest of South America Cloud-native Software, by Type USD Million (2014-2019)
  • Table 27. Rest of South America Cloud-native Software, by Application USD Million (2014-2019)
  • Table 28. Rest of South America Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 29. Asia Pacific Cloud-native Software, by Country USD Million (2014-2019)
  • Table 30. Asia Pacific Cloud-native Software, by Type USD Million (2014-2019)
  • Table 31. Asia Pacific Cloud-native Software, by Application USD Million (2014-2019)
  • Table 32. Asia Pacific Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 33. China Cloud-native Software, by Type USD Million (2014-2019)
  • Table 34. China Cloud-native Software, by Application USD Million (2014-2019)
  • Table 35. China Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 36. Japan Cloud-native Software, by Type USD Million (2014-2019)
  • Table 37. Japan Cloud-native Software, by Application USD Million (2014-2019)
  • Table 38. Japan Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 39. India Cloud-native Software, by Type USD Million (2014-2019)
  • Table 40. India Cloud-native Software, by Application USD Million (2014-2019)
  • Table 41. India Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 42. South Korea Cloud-native Software, by Type USD Million (2014-2019)
  • Table 43. South Korea Cloud-native Software, by Application USD Million (2014-2019)
  • Table 44. South Korea Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 45. Taiwan Cloud-native Software, by Type USD Million (2014-2019)
  • Table 46. Taiwan Cloud-native Software, by Application USD Million (2014-2019)
  • Table 47. Taiwan Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 48. Australia Cloud-native Software, by Type USD Million (2014-2019)
  • Table 49. Australia Cloud-native Software, by Application USD Million (2014-2019)
  • Table 50. Australia Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 51. Rest of Asia-Pacific Cloud-native Software, by Type USD Million (2014-2019)
  • Table 52. Rest of Asia-Pacific Cloud-native Software, by Application USD Million (2014-2019)
  • Table 53. Rest of Asia-Pacific Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 54. Europe Cloud-native Software, by Country USD Million (2014-2019)
  • Table 55. Europe Cloud-native Software, by Type USD Million (2014-2019)
  • Table 56. Europe Cloud-native Software, by Application USD Million (2014-2019)
  • Table 57. Europe Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 58. Germany Cloud-native Software, by Type USD Million (2014-2019)
  • Table 59. Germany Cloud-native Software, by Application USD Million (2014-2019)
  • Table 60. Germany Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 61. France Cloud-native Software, by Type USD Million (2014-2019)
  • Table 62. France Cloud-native Software, by Application USD Million (2014-2019)
  • Table 63. France Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 64. Italy Cloud-native Software, by Type USD Million (2014-2019)
  • Table 65. Italy Cloud-native Software, by Application USD Million (2014-2019)
  • Table 66. Italy Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 67. United Kingdom Cloud-native Software, by Type USD Million (2014-2019)
  • Table 68. United Kingdom Cloud-native Software, by Application USD Million (2014-2019)
  • Table 69. United Kingdom Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 70. Netherlands Cloud-native Software, by Type USD Million (2014-2019)
  • Table 71. Netherlands Cloud-native Software, by Application USD Million (2014-2019)
  • Table 72. Netherlands Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 73. Rest of Europe Cloud-native Software, by Type USD Million (2014-2019)
  • Table 74. Rest of Europe Cloud-native Software, by Application USD Million (2014-2019)
  • Table 75. Rest of Europe Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 76. MEA Cloud-native Software, by Country USD Million (2014-2019)
  • Table 77. MEA Cloud-native Software, by Type USD Million (2014-2019)
  • Table 78. MEA Cloud-native Software, by Application USD Million (2014-2019)
  • Table 79. MEA Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 80. Middle East Cloud-native Software, by Type USD Million (2014-2019)
  • Table 81. Middle East Cloud-native Software, by Application USD Million (2014-2019)
  • Table 82. Middle East Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 83. Africa Cloud-native Software, by Type USD Million (2014-2019)
  • Table 84. Africa Cloud-native Software, by Application USD Million (2014-2019)
  • Table 85. Africa Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 86. North America Cloud-native Software, by Country USD Million (2014-2019)
  • Table 87. North America Cloud-native Software, by Type USD Million (2014-2019)
  • Table 88. North America Cloud-native Software, by Application USD Million (2014-2019)
  • Table 89. North America Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 90. United States Cloud-native Software, by Type USD Million (2014-2019)
  • Table 91. United States Cloud-native Software, by Application USD Million (2014-2019)
  • Table 92. United States Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 93. Canada Cloud-native Software, by Type USD Million (2014-2019)
  • Table 94. Canada Cloud-native Software, by Application USD Million (2014-2019)
  • Table 95. Canada Cloud-native Software, by Organization Size USD Million (2014-2019)
  • Table 96. Mexico Cloud-native Software, by Type USD Million (2014-2019)
  • Table 97. Mexico Cloud-native Software, by Application USD Million (2014-2019)
  • Table 98. Mexico Cloud-native Software, by Organization Size USD Million (2014-2019)
  • 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. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Cloud-native Software: by Type(USD Million)
  • Table 115. Cloud-native Software Public Cloud , by Region USD Million (2020-2025)
  • Table 116. Cloud-native Software Private Cloud , by Region USD Million (2020-2025)
  • Table 117. Cloud-native Software Hybrid Cloud , by Region USD Million (2020-2025)
  • Table 118. Cloud-native Software Multi-Cloud , by Region USD Million (2020-2025)
  • Table 119. Cloud-native Software: by Application(USD Million)
  • Table 120. Cloud-native Software Manufacturing , by Region USD Million (2020-2025)
  • Table 121. Cloud-native Software BFSI , by Region USD Million (2020-2025)
  • Table 122. Cloud-native Software Healthcare , by Region USD Million (2020-2025)
  • Table 123. Cloud-native Software Aerospace and Defense , by Region USD Million (2020-2025)
  • Table 124. Cloud-native Software IT & Telecom , by Region USD Million (2020-2025)
  • Table 125. Cloud-native Software Others , by Region USD Million (2020-2025)
  • Table 126. Cloud-native Software: by Organization Size(USD Million)
  • Table 127. Cloud-native Software Small & Medium Size , by Region USD Million (2020-2025)
  • Table 128. Cloud-native Software Large , by Region USD Million (2020-2025)
  • Table 129. South America Cloud-native Software, by Country USD Million (2020-2025)
  • Table 130. South America Cloud-native Software, by Type USD Million (2020-2025)
  • Table 131. South America Cloud-native Software, by Application USD Million (2020-2025)
  • Table 132. South America Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 133. Brazil Cloud-native Software, by Type USD Million (2020-2025)
  • Table 134. Brazil Cloud-native Software, by Application USD Million (2020-2025)
  • Table 135. Brazil Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 136. Argentina Cloud-native Software, by Type USD Million (2020-2025)
  • Table 137. Argentina Cloud-native Software, by Application USD Million (2020-2025)
  • Table 138. Argentina Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 139. Rest of South America Cloud-native Software, by Type USD Million (2020-2025)
  • Table 140. Rest of South America Cloud-native Software, by Application USD Million (2020-2025)
  • Table 141. Rest of South America Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 142. Asia Pacific Cloud-native Software, by Country USD Million (2020-2025)
  • Table 143. Asia Pacific Cloud-native Software, by Type USD Million (2020-2025)
  • Table 144. Asia Pacific Cloud-native Software, by Application USD Million (2020-2025)
  • Table 145. Asia Pacific Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 146. China Cloud-native Software, by Type USD Million (2020-2025)
  • Table 147. China Cloud-native Software, by Application USD Million (2020-2025)
  • Table 148. China Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 149. Japan Cloud-native Software, by Type USD Million (2020-2025)
  • Table 150. Japan Cloud-native Software, by Application USD Million (2020-2025)
  • Table 151. Japan Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 152. India Cloud-native Software, by Type USD Million (2020-2025)
  • Table 153. India Cloud-native Software, by Application USD Million (2020-2025)
  • Table 154. India Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 155. South Korea Cloud-native Software, by Type USD Million (2020-2025)
  • Table 156. South Korea Cloud-native Software, by Application USD Million (2020-2025)
  • Table 157. South Korea Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 158. Taiwan Cloud-native Software, by Type USD Million (2020-2025)
  • Table 159. Taiwan Cloud-native Software, by Application USD Million (2020-2025)
  • Table 160. Taiwan Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 161. Australia Cloud-native Software, by Type USD Million (2020-2025)
  • Table 162. Australia Cloud-native Software, by Application USD Million (2020-2025)
  • Table 163. Australia Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 164. Rest of Asia-Pacific Cloud-native Software, by Type USD Million (2020-2025)
  • Table 165. Rest of Asia-Pacific Cloud-native Software, by Application USD Million (2020-2025)
  • Table 166. Rest of Asia-Pacific Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 167. Europe Cloud-native Software, by Country USD Million (2020-2025)
  • Table 168. Europe Cloud-native Software, by Type USD Million (2020-2025)
  • Table 169. Europe Cloud-native Software, by Application USD Million (2020-2025)
  • Table 170. Europe Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 171. Germany Cloud-native Software, by Type USD Million (2020-2025)
  • Table 172. Germany Cloud-native Software, by Application USD Million (2020-2025)
  • Table 173. Germany Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 174. France Cloud-native Software, by Type USD Million (2020-2025)
  • Table 175. France Cloud-native Software, by Application USD Million (2020-2025)
  • Table 176. France Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 177. Italy Cloud-native Software, by Type USD Million (2020-2025)
  • Table 178. Italy Cloud-native Software, by Application USD Million (2020-2025)
  • Table 179. Italy Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 180. United Kingdom Cloud-native Software, by Type USD Million (2020-2025)
  • Table 181. United Kingdom Cloud-native Software, by Application USD Million (2020-2025)
  • Table 182. United Kingdom Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 183. Netherlands Cloud-native Software, by Type USD Million (2020-2025)
  • Table 184. Netherlands Cloud-native Software, by Application USD Million (2020-2025)
  • Table 185. Netherlands Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 186. Rest of Europe Cloud-native Software, by Type USD Million (2020-2025)
  • Table 187. Rest of Europe Cloud-native Software, by Application USD Million (2020-2025)
  • Table 188. Rest of Europe Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 189. MEA Cloud-native Software, by Country USD Million (2020-2025)
  • Table 190. MEA Cloud-native Software, by Type USD Million (2020-2025)
  • Table 191. MEA Cloud-native Software, by Application USD Million (2020-2025)
  • Table 192. MEA Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 193. Middle East Cloud-native Software, by Type USD Million (2020-2025)
  • Table 194. Middle East Cloud-native Software, by Application USD Million (2020-2025)
  • Table 195. Middle East Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 196. Africa Cloud-native Software, by Type USD Million (2020-2025)
  • Table 197. Africa Cloud-native Software, by Application USD Million (2020-2025)
  • Table 198. Africa Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 199. North America Cloud-native Software, by Country USD Million (2020-2025)
  • Table 200. North America Cloud-native Software, by Type USD Million (2020-2025)
  • Table 201. North America Cloud-native Software, by Application USD Million (2020-2025)
  • Table 202. North America Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 203. United States Cloud-native Software, by Type USD Million (2020-2025)
  • Table 204. United States Cloud-native Software, by Application USD Million (2020-2025)
  • Table 205. United States Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 206. Canada Cloud-native Software, by Type USD Million (2020-2025)
  • Table 207. Canada Cloud-native Software, by Application USD Million (2020-2025)
  • Table 208. Canada Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 209. Mexico Cloud-native Software, by Type USD Million (2020-2025)
  • Table 210. Mexico Cloud-native Software, by Application USD Million (2020-2025)
  • Table 211. Mexico Cloud-native Software, by Organization Size USD Million (2020-2025)
  • Table 212. Research Programs/Design for This Report
  • Table 213. Key Data Information from Secondary Sources
  • Table 214. 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-native Software: by Type USD Million (2014-2019)
  • Figure 5. Global Cloud-native Software: by Application USD Million (2014-2019)
  • Figure 6. Global Cloud-native Software: by Organization Size USD Million (2014-2019)
  • Figure 7. South America Cloud-native Software Share (%), by Country
  • Figure 8. Asia Pacific Cloud-native Software Share (%), by Country
  • Figure 9. Europe Cloud-native Software Share (%), by Country
  • Figure 10. MEA Cloud-native Software Share (%), by Country
  • Figure 11. North America Cloud-native Software Share (%), by Country
  • Figure 12. Global Cloud-native Software share by Players 2019 (%)
  • Figure 13. Global Cloud-native Software share by Players (Top 3) 2019(%)
  • Figure 14. Global Cloud-native Software share by Players (Top 5) 2019(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 17. IBM (United States) Revenue: by Geography 2019
  • Figure 18. Nokia (Finland) Revenue, Net Income and Gross profit
  • Figure 19. Nokia (Finland) Revenue: by Geography 2019
  • Figure 20. Onica (United States) Revenue, Net Income and Gross profit
  • Figure 21. Onica (United States) Revenue: by Geography 2019
  • Figure 22. Microsoft Azure (United States) Revenue, Net Income and Gross profit
  • Figure 23. Microsoft Azure (United States) Revenue: by Geography 2019
  • Figure 24. Google (United States) Revenue, Net Income and Gross profit
  • Figure 25. Google (United States) Revenue: by Geography 2019
  • Figure 26. Oracle (United States) Revenue, Net Income and Gross profit
  • Figure 27. Oracle (United States) Revenue: by Geography 2019
  • Figure 28. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 29. SAP (Germany) Revenue: by Geography 2019
  • Figure 30. AWS (United States) Revenue, Net Income and Gross profit
  • Figure 31. AWS (United States) Revenue: by Geography 2019
  • Figure 32. Symantec (United States) Revenue, Net Income and Gross profit
  • Figure 33. Symantec (United States) Revenue: by Geography 2019
  • Figure 34. VMWare (United States) Revenue, Net Income and Gross profit
  • Figure 35. VMWare (United States) Revenue: by Geography 2019
  • Figure 36. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 37. Salesforce (United States) Revenue: by Geography 2019
  • Figure 38. HCL Technologies (India) Revenue, Net Income and Gross profit
  • Figure 39. HCL Technologies (India) Revenue: by Geography 2019
  • Figure 40. Amadeus (Spain) Revenue, Net Income and Gross profit
  • Figure 41. Amadeus (Spain) Revenue: by Geography 2019
  • Figure 42. Pivotal Software (United States) Revenue, Net Income and Gross profit
  • Figure 43. Pivotal Software (United States) Revenue: by Geography 2019
  • Figure 44. Accenture (Ireland) Revenue, Net Income and Gross profit
  • Figure 45. Accenture (Ireland) Revenue: by Geography 2019
  • Figure 46. Global Cloud-native Software: by Type USD Million (2020-2025)
  • Figure 47. Global Cloud-native Software: by Application USD Million (2020-2025)
  • Figure 48. Global Cloud-native Software: by Organization Size USD Million (2020-2025)
  • Figure 49. South America Cloud-native Software Share (%), by Country
  • Figure 50. Asia Pacific Cloud-native Software Share (%), by Country
  • Figure 51. Europe Cloud-native Software Share (%), by Country
  • Figure 52. MEA Cloud-native Software Share (%), by Country
  • Figure 53. North America Cloud-native Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • IBM (United States)
  • Nokia (Finland)
  • Onica (United States)
  • Microsoft Azure (United States)
  • Google (United States)
  • Oracle (United States)
  • SAP (Germany)
  • AWS (United States)
  • Symantec (United States)
  • VMWare (United States)
  • Salesforce (United States)
  • HCL Technologies (India)
  • Amadeus (Spain)
  • Pivotal Software (United States)
  • Accenture (Ireland)
Additional players considered in the study are as follows:
ScienceSoft (United States) , Infosys (India) , Bacancy Technology (India) , Cloudhelix (United Kingdom) , Computaris (United States) , Contino (United Kingdom) , Infostrech (India)
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