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Global Public Cloud Market to reach USD 826.4 billion by the end of 2029

Global Public Cloud Market Size study&Forecast, byService (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS)) by Enterprise (Large Enterprise, Small & Medium Enterprise), by End-use (BFSI, IT & Telecom, Retail & Consumer Goods, Manufacturing, Energy & Utilities, Healthcare, Media & Entertainment, Government & Public Sector, Others)and Regional Analysis, 2022-2029

Product Code: ICTBC-12877161
Publish Date: 20-03-2023
Page: 200

Global Public Cloud Market is valued at approximately USD 277.8 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 14.6% over the forecast period 2022-2029. Public Cloud is a deployment cloud model where public cloud service providers make computing and storage, development and deployment, and applications accessible on demand to individuals and organizations over the public internet. In this model, the computing resources are operated and owned by the provider itself and are then shared via the internet. The emerging adoption of IoT techniques, artificial intelligence (AI), machine learning (ML) and edge computing among several industries is boosting the market demand. Additionally, the increasing trend of digitalization among industries and rising penetration of the internet is driving the demand of the Public Cloud market.

The increasing digitalization among industries is fueling the demand for public cloud. For instance, the worldwide spending on digital transformation in 2022 is USD 1.6 trillion and is projected to reach nearly USD 3.4 trillion by 2026. The boost in this computing technology is due to the rising adoption of Artificial Intelligence (AI) and Machine Learning (ML), as AI and ML complement Public Cloud. The demand for Public Cloud services continues due to the rising penetration of the Internet. India was ranked 2nd in terms of internet users. The internet penetration rate went up from 4% in 2007 to 47% in 2021. Therefore, public cloud services enable individuals and organizations to store and secure their data safely over the Internet. Moreover, the continuous advancements and formulation, and increasing adoption of cloud computing technologies by several industries are playing a major role in surging the demand for Public Cloud globally. However, the high data security threats and privacy concerns stifle market growth of Public Cloud throughout the forecast period of 2022-2029.

The key regions considered for the Global Public Cloud Marketstudy includes Asia Pacific, North America, Europe, Latin America, and Rest of the World.North America dominated the market for Public Cloud services with a total share of 49%. The adoption of new technologies by various market players is boosting the demand in this region. The increasing digitalization and adoption of cloud storage services are driving the market demand. Companies such as Microsoft Corporation, Amazon.com Inc, and IBM Corporation are helping this region in maintaining this position. Asia-Pacific is anticipated to be the fastest-growing region over the forecast region.Changing lifestyles, urbanization and increasing penetration of internet among the users are fueling the market demand.

Major market player included in this report are:
Alibaba Group Holding Limited
Amazon.com Inc.
Adobe Inc.
Google LLC
The International Business Machines Corporation (IBM) Corporation
Microsoft Corporation
Oracle Corporation
Salesforce, Inc.
RiverMeadow Software Inc.
Workday, Inc.

Recent Developments in the Market:
 In April 2022, a leading provider of cloud migration services and disaster management software “RiverMeadow Software Inc. “ added new services to its cloud migration platform. This update allows customers the choice to migrate to the public cloud through VM-based or OS-based migrations.
 In October 2018, IBM Corporation acquired Red Hat to expand its public cloud offerings to a wider range of customers to provide hybrid cloud solutions at a true choice and agility.
Global Public Cloud Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Service, Enterprise, End-use, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporatespotential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Service offerings of key players. The detailed segments and sub-segment of the market are explained below:
Infrastructure as a Service (IaaS)
Platform as a Service (PaaS)
Software as a Service (SaaS)
By Enterprise:
Large Enterprise
Small & Medium Enterprise
By End-use:
IT & Telecom
Retail & Consumer Goods
Energy & Utilities
Media & Entertainment
Government & Public Sector
By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Public Cloud Market, by Region, 2019-2029 (USD Billion)
1.2.2. Public Cloud Market, by Service,2019-2029 (USD Billion)
1.2.3. Public Cloud Market, by Enterprise, 2019-2029 (USD Billion)
1.2.4. Public Cloud Market, by End-use, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Public Cloud Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Public Cloud Market Dynamics
3.1. Public Cloud Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing Digitalization among industries. Rising Internet Penetration.
3.1.2. Market Challenges Data security threats and privacy concerns
3.1.3. Market Opportunities Advancements in Formulation. Increasing adoption of cloud by industries.
Chapter 4. Global Public Cloud Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Public Cloud Market, by Service
6.1. Market Snapshot
6.2. Global Public Cloud Market by Service, Performance – Potential Analysis
6.3. Global Public Cloud Market Estimates & Forecasts by Service2019-2029 (USD Billion)
6.4. Public Cloud Market, Sub Segment Analysis
6.4.1. Infrastructure as a Service (IaaS)
6.4.2. Platform as a Service (PaaS)
6.4.3. Software as a Service (SaaS)
Chapter 7. Global Public Cloud Market, by Enterprise
7.1. Market Snapshot
7.2. Global Public Cloud Market by Enterprise, Performance – Potential Analysis
7.3. Global Public Cloud Market Estimates & Forecasts by Enterprise2019-2029 (USD Billion)
7.4. Public Cloud Market, Sub Segment Analysis
7.4.1. Large Enterprise
7.4.2. Small & Medium Enterprise
Chapter 8. Global Public Cloud Market, byEnd-use
8.1. Market Snapshot
8.2. Global Public Cloud Market by End-use, Performance – Potential Analysis
8.3. Global Public Cloud Market Estimates & Forecasts by End-use2019-2029 (USD Billion)
8.4. Public Cloud Market, Sub Segment Analysis
8.4.1. BFSI
8.4.2. IT & Telecom
8.4.3. Retail & Consumer Goods
8.4.4. Manufacturing
8.4.5. Energy & Utilities
8.4.6. Healthcare
8.4.7. Media & Entertainment
8.4.8. Government & Public Sector
8.4.9. Others
Chapter 9. Global Public Cloud Market, Regional Analysis
9.1. Public Cloud Market, Regional Market Snapshot
9.2. North America Public Cloud Market
9.2.1. U.S.Public Cloud Market Servicebreakdown estimates & forecasts, 2019-2029 Enterprise breakdown estimates & forecasts, 2019-2029 End-use breakdown estimates & forecasts, 2019-2029
9.2.2. CanadaPublic Cloud Market
9.3. Europe Public Cloud Market Snapshot
9.3.1. U.K. Public Cloud Market
9.3.2. Germany Public Cloud Market
9.3.3. France Public Cloud Market
9.3.4. Spain Public Cloud Market
9.3.5. Italy Public Cloud Market
9.3.6. Rest of EuropePublic Cloud Market
9.4. Asia-PacificPublic Cloud Market Snapshot
9.4.1. China Public Cloud Market
9.4.2. India Public Cloud Market
9.4.3. JapanPublic Cloud Market
9.4.4. Australia Public Cloud Market
9.4.5. South Korea Public Cloud Market
9.4.6. Rest of Asia PacificPublic Cloud Market
9.5. Latin America Public Cloud Market Snapshot
9.5.1. Brazil Public Cloud Market
9.5.2. MexicoPublic Cloud Market
9.6. Rest of The World Public Cloud Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Alibaba Group Holding Limited Key Information Overview Financial (Subject to Data Availability) ProductSummary Recent Developments
10.2.2. Amazon.com Inc.
10.2.3. Adobe Inc.
10.2.4. Google LLC
10.2.5. The International Business Machines Corporation (IBM) Corporation
10.2.6. Microsoft Corporation
10.2.7. Oracle Corporation
10.2.8. Salesforce, Inc.
10.2.9. RiverMeadow Software Inc.
10.2.10. Workday, Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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