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The global distributed cloud market was valued at USD 3.36 billion in 2022, increasing at a CAGR of 18.89% from 2022 to 2030 and is anticipated to reach USD 13.41 billion by 2030. Asia-Pacific is expected to grow the fastest during the forecast period. The distributed cloud industry was positively affected by the COVID-19 epidemic owing to the premature demand for cloud services to help digital solutions, particularly BFSI and remote manufacturing workers.
A distributed cloud is an architecture where numerous clouds are utilized to meet compliance requirements, performance needs, or support edge computing while centrally managed by the public cloud provider. A distributed cloud takes not only an application but the whole computing stack. It spreads it to the locations where it is required, whether public cloud providers, on-premises, or third-party colocation facilities. Distributed clouds can become a content delivery network, improving the streaming experience or reducing web page load time latency, giving many applications the best possible user experience. Adopting a distributed cloud approach enhances visibility into a multi-cloud and hybrid deployment, including the capability to manage all the infrastructure as a single cloud from a single console with a single set of instruments. Securing a distributed cloud introduces new challenges for cloud providers & end users, as resources can be scattered across the world and can be collocated with other enterprise servers & storage resources. Distributed cloud infrastructure makes it much more comfortable for an association to process PI in each user's nation of residence. A distributed cloud has a higher deployment cost than a single system. It implicates a raised price of processing overhead.
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For example, in June 2022, YesAsia Holdings Ltd. selected Oracle Fusion Cloud Customer Experience to automate its marketing platform with reliable and flexible AI-driven technology solutions.
For example, in November 2021, Infosys Finacle, part of EdgeVerve Systems, a fully-owned subsidiary of IBM and Infosys, announced that the Finacle Digital Banking Solution Suite would be available on IBM Cloud and Red Hat OpenShift for financial services. This collaboration will permit banks to scale company transformation, become additional agile, and power their expansion with an on-demand portfolio of services & products. It will also assist banks in achieving seamless ecosystem connectivity, provide a world-class banking experience for their consumers, and allow them to meet needed compliance & security requirements.
Drivers:
Growth in the internet of things (IoT): The growing reach and adoption of IoT globally is the driving factor of the market growth. Further, the internet of things plays a vital role in building smart communication environments like smart healthcare, smart transportation, smart shopping, and smart homes are driving factors of the market growth. In addition, the ever-increasing investment by the different industrial vital participants to expand the horizons of distributed cloud systems is driving the market growth. Moreover, the rise in the customers' disposable income, the increasing adoption of IIoT, and the requirement to manage the rising volume of data created by IIoT deployments are also driving the market growth during the forecast period. In addition, loT is a method of interconnected and interrelated computing appliances, digital & mechanical machines, individuals, and objects with unique identifiers while also having the ability to share information or data over a web without any interaction between human-to-computer or human-to-human. This factor is also helping to drive the market growth during the forecast period.
Restraints:
The high initial setup and maintenance cost: The increased initial investment required to set up distributed cloud infrastructure can hinder the market growth. The maintenance of such complex technology is expensive, time-consuming, and requires a skilled labor force. Further, implementing and designing distributed cloud architecture is complicated due to the unique architecture of each cloud service provider, like Azure, Google, and AWS, as well as a particular requirement for an institution's private cloud deployments and edge computing architectures. Therefore, IT institutions must incorporate the capabilities of IaaS to supply security, visibility, and control of dedicated network security and support.
Opportunities:
The growing adoption of cloud services: The rapid implementation of cloud technologies for multiple applications, new product launches, and the government's increasing interest in executing and promoting cloud technologies are market growth opportunities. In addition, the ever-increasing volume of data generated by websites & mobile apps, the growing focus on delivering customer-centric applications to drive consumer satisfaction, and the increasing need to control and reduce Operational Expenditure (OPEX) and Capital Expenditure (CAPEX). These factors are also helping to propel the market growth.
Challenges:
Lack of skilled professionals: The lack of experienced professionals in new areas of cloud computing and big data is a challenge for market growth. Most of the experienced labor force are residents or expatriates of other regions, which increases the overall price of employing the technology. This is also a challenging factor for market growth.
Regional segmentation analysis:
The regions analyzed for the market include Europe, South America, Asia Pacific, North America, the Middle East, and Africa. North America emerged as the largest market for the global distributed cloud market, with a 44.32% share of the market revenue in 2022. North America dominates the distributed cloud market due to the high demand for cloud services across different industry verticals. Moreover, the presence of many enterprises, data security, data back-up, data recovery, and advanced technologies like IoT, machine learning, big data, and cloud computing are helping to propel the market growth. Also, the high cloud enablement activities and trends in cloud marketplaces, the presence of significant market participants in the country, and the strong emphasis on various governments are boosting to drive the market growth in this region. The Asia Pacific is expected to grow the fastest during the forecast period due to the rising levels of urbanization. Further, the expanding number of tech giants in developing countries and the increasing IT industry are also helping to drive market growth in this region. In addition, the strong technical expertise & bigger IT budgets, the growing amount of business processes, and the ever-increasing disposable income of the customers are propelling the market growth in this region during the forecast period.
North America Region Distributed Cloud Market Share in 2022 - 44.32%
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Application segment analysis
The application segment is divided into intelligent transportation, edge computing, content delivery, and others. The edge computing segment dominated, with a market share of around 31.11% in 2022. This growth is attributed to the increasing adoption of IoT across industries. Further, edge computing is closely associated with the concepts of fog computing and cloud computing. Edge also incorporates software and hardware solutions and networking architecture to cover different use cases in multiple businesses. Further, by 2030, the intelligent transportation segment will likely dominate the market due to the adoption of distributed cloud for faster data insights and integration of automation technologies to improve the customer experience.
Type segment analysis
The type segment is divided into volunteer cloud computing and public-resource computing. In 2022, the public-resource computing segment dominated the market with the largest market share of 57.18% and market revenue of 1.92 billion. This growth is attributed to the advances in public-resource computing for better interconnection and smooth workflows in machine learning (ML), artificial intelligence (AI), and Analytics.
Enterprise Size segment analysis
The enterprise size segment is divided into SMEs and large enterprises. In 2022, the large enterprise segment dominated the market with the largest market share of 56.15% and market revenue of 1.88 billion. This growth is attributed to the growing adoption of distributed cloud technology by different companies in BFSI and IT & Telecom for the smooth operation of multiple clouds.
Industry Vertical segment analysis
The industry vertical segment is divided into government & defense, BFSI, healthcare, media & entertainment, retail & e-commerce, manufacturing, energy & utilities, IT & telecom, and others. In 2022, the BFSI segment dominated the market, accounting for around 19.21% of global revenue. This growth is attributed to the increasing adoption of cloud services for the storage & management of consumer data.
Report Description:
| Attribute | Description |
|---|---|
| Market Size | Revenue (USD Billion), Volume (Kg) |
| Market size value in 2022 | USD 38.21 Billion, Volume (Units) |
| Market size value in 2030 | USD 68.65 Billion, Volume (Units) |
| CAGR (2022 to 2030) | 7.60% |
| Historical data | 2019-2020 |
| Base Year | 2021 |
| Forecast | 2022-2030 |
| Segments | Key Segments are application, product, end-user, and regions |
| Regional Segments | The key regions are North America, South America, Europe, Asia Pacific, and Middle East & Africa. |
North America region emerged as the largest market for the distributed cloud.
The market's growth will be influenced by the increasing reach and adoption of IoT globally.
The high cost of initial setup and maintenance could hamper the market growth.
The growing adoption of cloud services will provide huge opportunities to the market.
Key players are Microsoft, IBM, Google, Alibaba Cloud, AWS, Teradata, VMware, Commvault, Oracle, Cohesity, F5, Wind River Systems, Cubbit, Commvault, PhoenixNAP, Panzura, Pluribus Networks, SCC, Zededa, Hazelcast, Anyscale, Platform9 and among others.
1. Introduction
1.1. Objectives of the Study
1.2. Market Definition
1.3. Research Scope
1.4. Currency
1.5. Key Target Audience
2. Research Methodology and Assumptions
3. Executive Summary
4. Premium Insights
4.1. Porter’s Five Forces Analysis
4.2. Value Chain Analysis
4.3. Top Investment Pockets
4.3.1. Market Attractiveness Analysis By Application
4.3.2. Market Attractiveness Analysis By Type
4.3.3. Market Attractiveness Analysis By Enterprise Size
4.3.4. Market Attractiveness Analysis By Industry Vertical
4.3.5. Market Attractiveness Analysis By Region
4.4. Industry Trends
5. Market Dynamics
5.1. Market Evaluation
5.2. Drivers
5.2.1. The high adoption rate of advanced technologies
5.2.2. The rising adoption of cloud-based services
5.2.3. The increasing internet usage and the deployment of cloud servers
5.2.4. The high penetration of internet services
5.2.5. The proliferation of smart devices
5.3. Restraints
5.3.1. The high cost of initial setup and maintenance
5.3.2. The concerns regarding data security
5.4. Opportunities
5.4.1. The growing adoption of cloud services
5.4.2. The rapid adoption of cloud technologies by small and medium-sized enterprises
5.4.3. The rising interest of the government to implement and promote cloud technologies
5.5. Challenges
5.5.1. The lack of skilled professionals
6. Global Distributed Cloud Market Analysis and Forecast, By Application
6.1. Segment Overview
6.2. Intelligent Transportation
6.3. Edge Computing
6.4. Content Delivery
6.5. Others
7. Global Distributed Cloud Market Analysis and Forecast, By Type
7.1. Segment Overview
7.2. Volunteer Cloud Computing
7.3. Public-Resource Computing
8. Global Distributed Cloud Market Analysis and Forecast, By Enterprise Size
8.1. Segment Overview
8.2. SMEs
8.3. Large Enterprises
9. Global Distributed Cloud Market Analysis and Forecast, By Industry Vertical
9.1. Segment Overview
9.2. Government & Defense
9.3. BFSI
9.4. Healthcare
9.5. Media & Entertainment
9.6. Retail & E-commerce
9.7. Manufacturing
9.8. Energy & Utilities
9.9. IT & Telecom
9.10. Others
10. Global Distributed Cloud Market Analysis and Forecast, By Regional Analysis
10.1. Segment Overview
10.2. North America
10.2.1. U.S.
10.2.2. Canada
10.2.3. Mexico
10.3. Europe
10.3.1. Germany
10.3.2. France
10.3.3. U.K.
10.3.4. Italy
10.3.5. Spain
10.4. Asia-Pacific
10.4.1. Japan
10.4.2. China
10.4.3. India
10.5. South America
10.5.1. Brazil
10.6. Middle East and Africa
10.6.1. UAE
10.6.2. South Africa
11. Global Distributed Cloud Market-Competitive Landscape
11.1. Overview
11.2. Market Share of Key Players in Global Distributed Cloud Market
11.2.1. Global Company Market Share
11.2.2. North America Company Market Share
11.2.3. Europe Company Market Share
11.2.4. APAC Company Market Share
11.3. Competitive Situations and Trends
11.3.1. Product Launches and Developments
11.3.2. Partnerships, Collaborations, and Agreements
11.3.3. Mergers & Acquisitions
11.3.4. Expansions
12. Company Profiles
12.1. Microsoft
12.1.1. Business Overview
12.1.2. Company Snapshot
12.1.3. Company Market Share Analysis
12.1.4. Company Product Portfolio
12.1.5. Recent Developments
12.1.6. SWOT Analysis
12.2. IBM
12.2.1. Business Overview
12.2.2. Company Snapshot
12.2.3. Company Market Share Analysis
12.2.4. Company Product Portfolio
12.2.5. Recent Developments
12.2.6. SWOT Analysis
12.3. Google
12.3.1. Business Overview
12.3.2. Company Snapshot
12.3.3. Company Market Share Analysis
12.3.4. Company Product Portfolio
12.3.5. Recent Developments
12.3.6. SWOT Analysis
12.4. Alibaba Cloud
12.4.1. Business Overview
12.4.2. Company Snapshot
12.4.3. Company Market Share Analysis
12.4.4. Company Product Portfolio
12.4.5. Recent Developments
12.4.6. SWOT Analysis
12.5. AWS
12.5.1. Business Overview
12.5.2. Company Snapshot
12.5.3. Company Market Share Analysis
12.5.4. Company Product Portfolio
12.5.5. Recent Developments
12.5.6. SWOT Analysis
12.6. Teradata
12.6.1. Business Overview
12.6.2. Company Snapshot
12.6.3. Company Market Share Analysis
12.6.4. Company Product Portfolio
12.6.5. Recent Developments
12.6.6. SWOT Analysis
12.7. VMware
12.7.1. Business Overview
12.7.2. Company Snapshot
12.7.3. Company Market Share Analysis
12.7.4. Company Product Portfolio
12.7.5. Recent Developments
12.7.6. SWOT Analysis
12.8. Commvault
12.8.1. Business Overview
12.8.2. Company Snapshot
12.8.3. Company Market Share Analysis
12.8.4. Company Product Portfolio
12.8.5. Recent Developments
12.8.6. SWOT Analysis
12.9. Oracle
12.9.1. Business Overview
12.9.2. Company Snapshot
12.9.3. Company Market Share Analysis
12.9.4. Company Product Portfolio
12.9.5. Recent Developments
12.9.6. SWOT Analysis
12.10. Cohesity
12.10.1. Business Overview
12.10.2. Company Snapshot
12.10.3. Company Market Share Analysis
12.10.4. Company Product Portfolio
12.10.5. Recent Developments
12.10.6. SWOT Analysis
12.11. F5
12.11.1. Business Overview
12.11.2. Company Snapshot
12.11.3. Company Market Share Analysis
12.11.4. Company Product Portfolio
12.11.5. Recent Developments
12.11.6. SWOT Analysis
12.12. Wind River Systems
12.12.1. Business Overview
12.12.2. Company Snapshot
12.12.3. Company Market Share Analysis
12.12.4. Company Product Portfolio
12.12.5. Recent Developments
12.12.6. SWOT Analysis
12.13. Cubbit
12.13.1. Business Overview
12.13.2. Company Snapshot
12.13.3. Company Market Share Analysis
12.13.4. Company Product Portfolio
12.13.5. Recent Developments
12.13.6. SWOT Analysis
12.14. Commvault
12.14.1. Business Overview
12.14.2. Company Snapshot
12.14.3. Company Market Share Analysis
12.14.4. Company Product Portfolio
12.14.5. Recent Developments
12.14.6. SWOT Analysis
12.15. PhoenixNAP
12.15.1. Business Overview
12.15.2. Company Snapshot
12.15.3. Company Market Share Analysis
12.15.4. Company Product Portfolio
12.15.5. Recent Developments
12.15.6. SWOT Analysis
12.16. Panzura
12.16.1. Business Overview
12.16.2. Company Snapshot
12.16.3. Company Market Share Analysis
12.16.4. Company Product Portfolio
12.16.5. Recent Developments
12.16.6. SWOT Analysis
12.17. Pluribus Networks
12.17.1. Business Overview
12.17.2. Company Snapshot
12.17.3. Company Market Share Analysis
12.17.4. Company Product Portfolio
12.17.5. Recent Developments
12.17.6. SWOT Analysis
12.18. SCC
12.18.1. Business Overview
12.18.2. Company Snapshot
12.18.3. Company Market Share Analysis
12.18.4. Company Product Portfolio
12.18.5. Recent Developments
12.18.6. SWOT Analysis
12.19. Zededa
12.19.1. Business Overview
12.19.2. Company Snapshot
12.19.3. Company Market Share Analysis
12.19.4. Company Product Portfolio
12.19.5. Recent Developments
12.19.6. SWOT Analysis
12.20. Hazelcast
12.20.1. Business Overview
12.20.2. Company Snapshot
12.20.3. Company Market Share Analysis
12.20.4. Company Product Portfolio
12.20.5. Recent Developments
12.20.6. SWOT Analysis
12.21. Anyscale
12.21.1. Business Overview
12.21.2. Company Snapshot
12.21.3. Company Market Share Analysis
12.21.4. Company Product Portfolio
12.21.5. Recent Developments
12.21.6. SWOT Analysis
12.22. Platform9
12.22.1. Business Overview
12.22.2. Company Snapshot
12.22.3. Company Market Share Analysis
12.22.4. Company Product Portfolio
12.22.5. Recent Developments
12.22.6. SWOT Analysis
List of Table
1. Global Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
2. Global Intelligent Transportation, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
3. Global Edge Computing, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
4. Global Content Delivery, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
5. Global Others, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
6. Global Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
7. Global Volunteer Cloud Computing, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
8. Global Public-Resource Computing, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
9. Global Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
10. Global SMEs, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
11. Global Large Enterprises, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
12. Global Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
13. Global Government & Defense, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
14. Global BFSI, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
15. Global Healthcare, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
16. Global Media & Entertainment, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
17. Global Retail & E-commerce, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
18. Global Manufacturing, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
19. Global Energy & Utilities, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
20. Global IT & Telecom, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
21. Global Others, Distributed Cloud Market, By Region, 2019-2030 (USD Billion)
22. North America Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
23. North America Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
24. North America Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
25. North America Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
26. U.S. Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
27. U.S. Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
28. U.S. Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
29. U.S. Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
30. Canada Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
31. Canada Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
32. Canada Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
33. Canada Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
34. Mexico Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
35. Mexico Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
36. Mexico Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
37. Mexico Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
38. Europe Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
39. Europe Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
40. Europe Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
41. Europe Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
42. Germany Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
43. Germany Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
44. Germany Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
45. Germany Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
46. France Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
47. France Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
48. France Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
49. France Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
50. U.K. Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
51. U.K. Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
52. U.K. Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
53. U.K. Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
54. Italy Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
55. Italy Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
56. Italy Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
57. Italy Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
58. Spain Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
59. Spain Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
60. Spain Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
61. Spain Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
62. Asia Pacific Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
63. Asia Pacific Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
64. Asia Pacific Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
65. Asia Pacific Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
66. Japan Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
67. Japan Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
68. Japan Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
69. Japan Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
70. China Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
71. China Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
72. China Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
73. China Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
74. India Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
75. India Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
76. India Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
77. India Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
78. South America Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
79. South America Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
80. South America Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
81. South America Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
82. Brazil Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
83. Brazil Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
84. Brazil Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
85. Brazil Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
86. Middle East and Africa Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
87. Middle East and Africa Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
88. Middle East and Africa Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
89. Middle East and Africa Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
90. UAE Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
91. UAE Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
92. UAE Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
93. UAE Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
94. South Africa Distributed Cloud Market, By Application, 2019-2030 (USD Billion)
95. South Africa Distributed Cloud Market, By Type, 2019-2030 (USD Billion)
96. South Africa Distributed Cloud Market, By Enterprise Size, 2019-2030 (USD Billion)
97. South Africa Distributed Cloud Market, By Industry Vertical, 2019-2030 (USD Billion)
List of Figures
1. Global Distributed Cloud Market Segmentation
2. Global Distributed Cloud Market: Research Methodology
3. Market Size Estimation Methodology: Bottom-Up Approach
4. Market Size Estimation Methodology: Top-Down Approach
5. Data Triangulation
6. Porter’s Five Forces Analysis
7. Value Chain Analysis
8. Global Distributed Cloud Market Attractiveness Analysis By Application
9. Global Distributed Cloud Market Attractiveness Analysis By Type
10. Global Distributed Cloud Market Attractiveness Analysis By Enterprise Size
11. Global Distributed Cloud Market Attractiveness Analysis By Industry Vertical
12. Global Distributed Cloud Market Attractiveness Analysis By Region
13. Global Distributed Cloud Market: Dynamics
14. Global Distributed Cloud Market Share By Application (2022 & 2030)
15. Global Distributed Cloud Market Share By Type (2022 & 2030)
16. Global Distributed Cloud Market Share By Enterprise Size (2022 & 2030)
17. Global Distributed Cloud Market Share By Industry Vertical (2022 & 2030)
18. Global Distributed Cloud Market Share By Regions (2022 & 2030)
19. Global Distributed Cloud Market Share By Company (2021)
This study forecasts revenue at global, regional, and country levels from 2019 to 2030. The Brainy Insights has segmented the global distributed cloud based on below mentioned segments:
Global Distributed Cloud Market by Application:
Global Distributed Cloud Market by Type:
Global Distributed Cloud Market by Enterprise Size:
Global Distributed Cloud Market by Industry Vertical:
Global Distributed Cloud by Region:
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Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:
Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.
Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.
The supply side for a domain specific market is analysed by:
The demand side for the market is estimated through:
In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.
Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:
Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:
Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.
This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.
Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.
The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:
Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.
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