Cloud- Comprehensive Study by Service Models (Software as a Service (SaaS), Infrastructure as a Service (IaaS)), Deployment Model (Public Cloud, Private and Hybrid Clouds) Players and Region - Indonesia Market Outlook to 2032

Cloud- Market by XX Submarkets | Forecast Years 2025-2032  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Cloud- Market Scope
The Indonesia cloud market is experiencing rapid growth, driven by digital transformation, government initiatives, and increasing demand for cloud-based solutions across industries. With the expansion of e-commerce, fintech, and Industry 4.0, businesses are increasingly adopting Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) to enhance scalability and efficiency. Major global players like Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and Alibaba Cloud have established local data centers to meet growing regulatory requirements, including data sovereignty laws. The rise of hybrid and multi-cloud strategies is reshaping the market, allowing enterprises to balance performance, cost, and data governance needs. Industries such as banking, telecom, healthcare, and manufacturing are driving cloud adoption, with SMEs also leveraging cost-effective cloud solutions to improve operations. The proliferation of AI, big data analytics, and IoT is further fueling demand for cloud computing and edge computing solutions. Despite this growth, challenges such as cybersecurity risks, high infrastructure costs, and a shortage of skilled cloud professionals persist. However, with strong government support, digital economy expansion, and rising investments in cloud infrastructure, Indonesia’s cloud market is expected to sustain double-digit growth in the coming years, positioning itself as a key player in Southeast Asia’s digital landscape.

AttributesDetails
Study Period2020-2032
Base Year2024
UnitValue (USD Million)
Key Companies ProfiledMicrosoft Corporation Inc (United States), IBM Corporation (United States), Amazon Web Services (AWS) (United States), Google Inc (United States), Alibaba Group Holdings Limited (China), Indonesian Cloud (Indonesia), NTT Data (Japan), Indosat Ooredoo (Indonesia), XL Axiata (Indonesia) and Biznet (Indonesia)
CAGR%


The market research report has also provided a comprehensive analysis of the competitive landscape. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Research Analyst at AMA estimates that Global Players will contribute to the maximum growth of Indonesia Cloud- market throughout the predicted period.

Microsoft Corporation Inc (United States), IBM Corporation (United States), Amazon Web Services (AWS) (United States), Google Inc (United States), Alibaba Group Holdings Limited (China), Indonesian Cloud (Indonesia), NTT Data (Japan), Indosat Ooredoo (Indonesia), XL Axiata (Indonesia) and Biznet (Indonesia) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are Telkomsigma (Indonesia), Digiserve (Indonesia), Flou Cloud (Indonesia), GITS.ID (Indonesia) and Zettagrid Indonesia (Indonesia).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Indonesia Cloud- market by Type and Region with country level break-up.

On the basis of geography, the market of Cloud- 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). region held largest market share in the year 2024.

Market Leaders and their expansionary development strategies
In December 2024, PT Telkom Indonesia collaborated with Alibaba Cloud to enhance the nation's digital ecosystem. This partnership focuses on advancing cloud-based services supported by AI technology, aiming to provide cost-effective solutions and foster innovation in Indonesia's market.
In August 2024, Telkom Indonesia appointed Goldman Sachs and Mandiri Sekuritas to seek strategic investors for its data center subsidiary, NeutraDC. The move aims to unlock the potential value of Telkom's data center business, with reports suggesting that the sale of a minority stake


Influencing Trend:
Artificial Intelligence (AI) Integration

Market Growth Drivers:
Digital Transformation Initiatives and E-commerce Expansion

Challenges:
Infrastructure Limitations

Restraints:
Data Security Concerns

Opportunities:
Government Support & Data Localization Policies and Rising Adoption of Multi-Cloud & Hybrid Cloud Solutions

Key Target Audience
Manufacturers of construction machinery, Suppliers of construction machinery, Wholesalers, Distributors, and Retailers of construction machinery, Research and Development (R&D) Companies, Research Organization and Others

Report Objectives / Segmentation Covered

By Service Models
  • Software as a Service (SaaS)
  • Infrastructure as a Service (IaaS)

By Deployment Model
  • Public Cloud
  • Private and Hybrid Clouds

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. Digital Transformation Initiatives
      • 3.2.2. E-commerce Expansion
    • 3.3. Market Challenges
      • 3.3.1. Infrastructure Limitations
    • 3.4. Market Trends
      • 3.4.1. Artificial Intelligence (AI) Integration
  • 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. Indonesia Cloud-, by Service Models, Deployment Model and Region (value) (2019-2024)
    • 5.1. Introduction
    • 5.2. Indonesia Cloud- (Value)
      • 5.2.1. Indonesia Cloud- by: Service Models (Value)
        • 5.2.1.1. Software as a Service (SaaS)
        • 5.2.1.2. Infrastructure as a Service (IaaS)
      • 5.2.2. Indonesia Cloud- by: Deployment Model (Value)
        • 5.2.2.1. Public Cloud
        • 5.2.2.2. Private and Hybrid Clouds
      • 5.2.3. Indonesia Cloud- Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
  • 6. Cloud-: 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 (2024)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Microsoft Corporation Inc (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. IBM Corporation (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. Amazon Web Services (AWS) (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. Google Inc (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. Alibaba Group Holdings Limited (China)
        • 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. Indonesian Cloud (Indonesia)
        • 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. NTT Data (Japan)
        • 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. Indosat Ooredoo (Indonesia)
        • 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. XL Axiata (Indonesia)
        • 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. Biznet (Indonesia)
        • 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
  • 7. Indonesia Cloud- Sale, by Service Models, Deployment Model and Region (value) (2027-2032)
    • 7.1. Introduction
    • 7.2. Indonesia Cloud- (Value)
      • 7.2.1. Indonesia Cloud- by: Service Models (Value)
        • 7.2.1.1. Software as a Service (SaaS)
        • 7.2.1.2. Infrastructure as a Service (IaaS)
      • 7.2.2. Indonesia Cloud- by: Deployment Model (Value)
        • 7.2.2.1. Public Cloud
        • 7.2.2.2. Private and Hybrid Clouds
      • 7.2.3. Indonesia Cloud- Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. 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-: by Service Models(USD Million)
  • Table 2. Cloud- Software as a Service (SaaS) , by Region USD Million (2019-2024)
  • Table 3. Cloud- Infrastructure as a Service (IaaS) , by Region USD Million (2019-2024)
  • Table 4. Cloud-: by Deployment Model(USD Million)
  • Table 5. Cloud- Public Cloud , by Region USD Million (2019-2024)
  • Table 6. Cloud- Private and Hybrid Clouds , by Region USD Million (2019-2024)
  • Table 7. South America Cloud-, by Country USD Million (2019-2024)
  • Table 8. South America Cloud-, by Service Models USD Million (2019-2024)
  • Table 9. South America Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 10. Brazil Cloud-, by Service Models USD Million (2019-2024)
  • Table 11. Brazil Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 12. Argentina Cloud-, by Service Models USD Million (2019-2024)
  • Table 13. Argentina Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 14. Rest of South America Cloud-, by Service Models USD Million (2019-2024)
  • Table 15. Rest of South America Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 16. Asia Pacific Cloud-, by Country USD Million (2019-2024)
  • Table 17. Asia Pacific Cloud-, by Service Models USD Million (2019-2024)
  • Table 18. Asia Pacific Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 19. China Cloud-, by Service Models USD Million (2019-2024)
  • Table 20. China Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 21. Japan Cloud-, by Service Models USD Million (2019-2024)
  • Table 22. Japan Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 23. India Cloud-, by Service Models USD Million (2019-2024)
  • Table 24. India Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 25. South Korea Cloud-, by Service Models USD Million (2019-2024)
  • Table 26. South Korea Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 27. Taiwan Cloud-, by Service Models USD Million (2019-2024)
  • Table 28. Taiwan Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 29. Australia Cloud-, by Service Models USD Million (2019-2024)
  • Table 30. Australia Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 31. Rest of Asia-Pacific Cloud-, by Service Models USD Million (2019-2024)
  • Table 32. Rest of Asia-Pacific Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 33. Europe Cloud-, by Country USD Million (2019-2024)
  • Table 34. Europe Cloud-, by Service Models USD Million (2019-2024)
  • Table 35. Europe Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 36. Germany Cloud-, by Service Models USD Million (2019-2024)
  • Table 37. Germany Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 38. France Cloud-, by Service Models USD Million (2019-2024)
  • Table 39. France Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 40. Italy Cloud-, by Service Models USD Million (2019-2024)
  • Table 41. Italy Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 42. United Kingdom Cloud-, by Service Models USD Million (2019-2024)
  • Table 43. United Kingdom Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 44. Netherlands Cloud-, by Service Models USD Million (2019-2024)
  • Table 45. Netherlands Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 46. Rest of Europe Cloud-, by Service Models USD Million (2019-2024)
  • Table 47. Rest of Europe Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 48. MEA Cloud-, by Country USD Million (2019-2024)
  • Table 49. MEA Cloud-, by Service Models USD Million (2019-2024)
  • Table 50. MEA Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 51. Middle East Cloud-, by Service Models USD Million (2019-2024)
  • Table 52. Middle East Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 53. Africa Cloud-, by Service Models USD Million (2019-2024)
  • Table 54. Africa Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 55. North America Cloud-, by Country USD Million (2019-2024)
  • Table 56. North America Cloud-, by Service Models USD Million (2019-2024)
  • Table 57. North America Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 58. United States Cloud-, by Service Models USD Million (2019-2024)
  • Table 59. United States Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 60. Canada Cloud-, by Service Models USD Million (2019-2024)
  • Table 61. Canada Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 62. Mexico Cloud-, by Service Models USD Million (2019-2024)
  • Table 63. Mexico Cloud-, by Deployment Model USD Million (2019-2024)
  • Table 64. Company Basic Information, Sales Area and Its Competitors
  • Table 65. Company Basic Information, Sales Area and Its Competitors
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Cloud-: by Service Models(USD Million)
  • Table 75. Cloud- Software as a Service (SaaS) , by Region USD Million (2027-2032)
  • Table 76. Cloud- Infrastructure as a Service (IaaS) , by Region USD Million (2027-2032)
  • Table 77. Cloud-: by Deployment Model(USD Million)
  • Table 78. Cloud- Public Cloud , by Region USD Million (2027-2032)
  • Table 79. Cloud- Private and Hybrid Clouds , by Region USD Million (2027-2032)
  • Table 80. South America Cloud-, by Country USD Million (2027-2032)
  • Table 81. South America Cloud-, by Service Models USD Million (2027-2032)
  • Table 82. South America Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 83. Brazil Cloud-, by Service Models USD Million (2027-2032)
  • Table 84. Brazil Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 85. Argentina Cloud-, by Service Models USD Million (2027-2032)
  • Table 86. Argentina Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 87. Rest of South America Cloud-, by Service Models USD Million (2027-2032)
  • Table 88. Rest of South America Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 89. Asia Pacific Cloud-, by Country USD Million (2027-2032)
  • Table 90. Asia Pacific Cloud-, by Service Models USD Million (2027-2032)
  • Table 91. Asia Pacific Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 92. China Cloud-, by Service Models USD Million (2027-2032)
  • Table 93. China Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 94. Japan Cloud-, by Service Models USD Million (2027-2032)
  • Table 95. Japan Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 96. India Cloud-, by Service Models USD Million (2027-2032)
  • Table 97. India Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 98. South Korea Cloud-, by Service Models USD Million (2027-2032)
  • Table 99. South Korea Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 100. Taiwan Cloud-, by Service Models USD Million (2027-2032)
  • Table 101. Taiwan Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 102. Australia Cloud-, by Service Models USD Million (2027-2032)
  • Table 103. Australia Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 104. Rest of Asia-Pacific Cloud-, by Service Models USD Million (2027-2032)
  • Table 105. Rest of Asia-Pacific Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 106. Europe Cloud-, by Country USD Million (2027-2032)
  • Table 107. Europe Cloud-, by Service Models USD Million (2027-2032)
  • Table 108. Europe Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 109. Germany Cloud-, by Service Models USD Million (2027-2032)
  • Table 110. Germany Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 111. France Cloud-, by Service Models USD Million (2027-2032)
  • Table 112. France Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 113. Italy Cloud-, by Service Models USD Million (2027-2032)
  • Table 114. Italy Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 115. United Kingdom Cloud-, by Service Models USD Million (2027-2032)
  • Table 116. United Kingdom Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 117. Netherlands Cloud-, by Service Models USD Million (2027-2032)
  • Table 118. Netherlands Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 119. Rest of Europe Cloud-, by Service Models USD Million (2027-2032)
  • Table 120. Rest of Europe Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 121. MEA Cloud-, by Country USD Million (2027-2032)
  • Table 122. MEA Cloud-, by Service Models USD Million (2027-2032)
  • Table 123. MEA Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 124. Middle East Cloud-, by Service Models USD Million (2027-2032)
  • Table 125. Middle East Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 126. Africa Cloud-, by Service Models USD Million (2027-2032)
  • Table 127. Africa Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 128. North America Cloud-, by Country USD Million (2027-2032)
  • Table 129. North America Cloud-, by Service Models USD Million (2027-2032)
  • Table 130. North America Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 131. United States Cloud-, by Service Models USD Million (2027-2032)
  • Table 132. United States Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 133. Canada Cloud-, by Service Models USD Million (2027-2032)
  • Table 134. Canada Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 135. Mexico Cloud-, by Service Models USD Million (2027-2032)
  • Table 136. Mexico Cloud-, by Deployment Model USD Million (2027-2032)
  • Table 137. Research Programs/Design for This Report
  • Table 138. Key Data Information from Secondary Sources
  • Table 139. 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. Indonesia Cloud-: by Service Models USD Million (2019-2024)
  • Figure 5. Indonesia Cloud-: by Deployment Model USD Million (2019-2024)
  • Figure 6. South America Cloud- Share (%), by Country
  • Figure 7. Asia Pacific Cloud- Share (%), by Country
  • Figure 8. Europe Cloud- Share (%), by Country
  • Figure 9. MEA Cloud- Share (%), by Country
  • Figure 10. North America Cloud- Share (%), by Country
  • Figure 11. Indonesia Cloud- share by Players 2024 (%)
  • Figure 12. Indonesia Cloud- share by Players (Top 3) 2024(%)
  • Figure 13. Indonesia Cloud- share by Players (Top 5) 2024(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Microsoft Corporation Inc (United States) Revenue, Net Income and Gross profit
  • Figure 16. Microsoft Corporation Inc (United States) Revenue: by Geography 2024
  • Figure 17. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 18. IBM Corporation (United States) Revenue: by Geography 2024
  • Figure 19. Amazon Web Services (AWS) (United States) Revenue, Net Income and Gross profit
  • Figure 20. Amazon Web Services (AWS) (United States) Revenue: by Geography 2024
  • Figure 21. Google Inc (United States) Revenue, Net Income and Gross profit
  • Figure 22. Google Inc (United States) Revenue: by Geography 2024
  • Figure 23. Alibaba Group Holdings Limited (China) Revenue, Net Income and Gross profit
  • Figure 24. Alibaba Group Holdings Limited (China) Revenue: by Geography 2024
  • Figure 25. Indonesian Cloud (Indonesia) Revenue, Net Income and Gross profit
  • Figure 26. Indonesian Cloud (Indonesia) Revenue: by Geography 2024
  • Figure 27. NTT Data (Japan) Revenue, Net Income and Gross profit
  • Figure 28. NTT Data (Japan) Revenue: by Geography 2024
  • Figure 29. Indosat Ooredoo (Indonesia) Revenue, Net Income and Gross profit
  • Figure 30. Indosat Ooredoo (Indonesia) Revenue: by Geography 2024
  • Figure 31. XL Axiata (Indonesia) Revenue, Net Income and Gross profit
  • Figure 32. XL Axiata (Indonesia) Revenue: by Geography 2024
  • Figure 33. Biznet (Indonesia) Revenue, Net Income and Gross profit
  • Figure 34. Biznet (Indonesia) Revenue: by Geography 2024
  • Figure 35. Indonesia Cloud-: by Service Models USD Million (2027-2032)
  • Figure 36. Indonesia Cloud-: by Deployment Model USD Million (2027-2032)
  • Figure 37. South America Cloud- Share (%), by Country
  • Figure 38. Asia Pacific Cloud- Share (%), by Country
  • Figure 39. Europe Cloud- Share (%), by Country
  • Figure 40. MEA Cloud- Share (%), by Country
  • Figure 41. North America Cloud- Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Microsoft Corporation Inc (United States)
  • IBM Corporation (United States)
  • Amazon Web Services (AWS) (United States)
  • Google Inc (United States)
  • Alibaba Group Holdings Limited (China)
  • Indonesian Cloud (Indonesia)
  • NTT Data (Japan)
  • Indosat Ooredoo (Indonesia)
  • XL Axiata (Indonesia)
  • Biznet (Indonesia)
Additional players considered in the study are as follows:
Telkomsigma (Indonesia) , Digiserve (Indonesia) , Flou Cloud (Indonesia) , GITS.ID (Indonesia) , Zettagrid Indonesia (Indonesia)
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Mar 2025 222 Pages 57 Tables Base Year: 2024 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Cloud- Market are by end use application [].
The Cloud- Market is gaining popularity and expected to see strong valuation by 2032.
  • Digital Transformation Initiatives
  • E-commerce Expansion

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