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Global Hadoop-as-a-service (HaaS) Market to reach USD 143.50billion by the end of 2029.

Global Hadoop-as-a-service (HaaS) Market Size study & Forecast, by Deployment Type (Run it Yourself (RIY) and Pure Play (PP), by Organization Size (Small & Medium-sized Enterprises and Large Enterprises), by End-User (Manufacturing, BFSI, Retail & Consumer Goods, Healthcare & Life Sciences, Government & Defense, Media & Entertainment, Education, IT & Telecommunication, and Others) and Regional Analysis, 2022-2029

Product Code: ICTICTS-81254063
Publish Date: 25-01-2023
Page: 200

Global Hadoop-as-a-service (HaaS) Market is valued at approximately USD 10.18 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 39.2% over the forecast period 2022-2029. Hadoop-as-a-service (HaaS) refers to a cloud computing solution that offers cost effective processing and analytics of big data as it is managed by third-party service provider. HaaS is based on two deployment types named Run it Yourself (RIY), and Pure Play (PP). The Run It Yourself (RIY) solutions require the user to have Hadoop skills to configure and operate Hadoop platform. Whereas pure-play HaaS solutions do not require the users to have technical expertise to manage and understand the underlying software. HaaS services are widely used across different industries including Manufacturing, Banking & Financial Services, Media & Entertainment, Education and Telecommunication among others. The increasing adoption of cloud services across the industries and growing need for cost effective solutions for big data management as well as strategic initiatives from leading market players are key factors accelerating the market growth.

The increasing adoption of cloud services and applications is contributing to the growth of the Global Hadoop-as-a-service Market. For instance, according to Statista – in 2021, the global cloud applications market was valued at USD 133.6 billion, and the market is projected to grow to USD 168.6 billion by 2025, witnessing a compound annual growth rate of 4.8 percent. Moreover, as per Statista – in 2021, the global big data analytics market was estimated at USD 240 billion, and the market is projected to grow to USD 650 billion by 2029. Also, the growing demand for HaaS from Small and Medium Sized Enterprises due to its cost effectiveness and rising emergence of data driven culture would create a lucrative growth prospectus for the market over the forecast period. However, slow processing speed and latency issues impede the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Hadoop-as-a-service (HaaS) Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the growing digitization across different industries, and presence of leading market players coupled with availability of required technological infrastructure in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising expansion of big data & analytics segment, growing penetration of SMEs and increasing penetration of leading market players in the region.

Major market players included in this report are:
Microsoft Corporation
IBM Corporation
Amazon web services
Cloudera Inc.
Google Inc.
MapR Technologies
EMC Corporation
Mortar Data (Datadog)

Recent Developments in the Market:
 In February 2022, Private equity firms Clayton, Dubilier & Rice (“CD&R”) and KKR completed the acquisition of USA based enterprise data cloud company Cloudera Inc. for a transaction value of USD 5.3 billion. Cloudera is a leading provider of Apache Hadoop based enterprise data management systems.

Global Hadoop-as-a-service (HaaS) 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 Deployment Type, Organization Size, End-User, 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 incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Deployment Type
Run it Yourself (RIY)
Pure Play (PP)

By Organization Size
Small & Medium-sized Enterprises
Large Enterprises

By End-User
Retail & Consumer Goods
Healthcare & Life Sciences
Government & Defense
Media & Entertainment
IT & Telecommunication

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. Hadoop-as-a-service (HaaS) Market, by Region, 2019-2029 (USD Billion)
1.2.2. Hadoop-as-a-service (HaaS) Market, by Deployment Type, 2019-2029 (USD Billion)
1.2.3. Hadoop-as-a-service (HaaS) Market, by Organization Size, 2019-2029 (USD Billion)
1.2.4. Hadoop-as-a-service (HaaS) Market, by End-User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Hadoop-as-a-service (HaaS) 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 Hadoop-as-a-service (HaaS) Market Dynamics
3.1. Hadoop-as-a-service (HaaS) Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing adoption of cloud services across the industries Growing need for cost effective solutions for big data management Strategic initiatives from leading market players
3.1.2. Market Challenges Slow processing speed Latency issues
3.1.3. Market Opportunities Growing demand for HaaS from SMEs Rising emergence of data driven culture
Chapter 4. Global Hadoop-as-a-service (HaaS) 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. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
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 Hadoop-as-a-service (HaaS) Market, by Deployment Type
6.1. Market Snapshot
6.2. Global Hadoop-as-a-service (HaaS) Market by Deployment Type, Performance – Potential Analysis
6.3. Global Hadoop-as-a-service (HaaS) Market Estimates & Forecasts by Deployment Type 2019-2029 (USD Billion)
6.4. Hadoop-as-a-service (HaaS) Market, Sub Segment Analysis
6.4.1. Run it yourself (RIY)
6.4.2. Pure play (PP)
Chapter 7. Global Hadoop-as-a-service (HaaS) Market, by Organization Size
7.1. Market Snapshot
7.2. Global Hadoop-as-a-service (HaaS) Market by Organization Size, Performance – Potential Analysis
7.3. Global Hadoop-as-a-service (HaaS) Market Estimates & Forecasts by Organization Size 2019-2029 (USD Billion)
7.4. Hadoop-as-a-service (HaaS) Market, Sub Segment Analysis
7.4.1. Small & Medium-sized Enterprises
7.4.2. Large Enterprises
Chapter 8. Global Hadoop-as-a-service (HaaS) Market, by End-User
8.1. Market Snapshot
8.2. Global Hadoop-as-a-service (HaaS) Market by End-User, Performance – Potential Analysis
8.3. Global Hadoop-as-a-service (HaaS) Market Estimates & Forecasts by End-User 2019-2029 (USD Billion)
8.4. Hadoop-as-a-service (HaaS) Market, Sub Segment Analysis
8.4.1. Manufacturing
8.4.2. BFSI
8.4.3. Retail & Consumer Goods
8.4.4. Healthcare & Life Sciences
8.4.5. Government & Defense
8.4.6. Media & Entertainment
8.4.7. Education
8.4.8. IT & Telecommunication
8.4.9. Others
Chapter 9. Global Hadoop-as-a-service (HaaS) Market, Regional Analysis
9.1. Hadoop-as-a-service (HaaS) Market, Regional Market Snapshot
9.2. North America Hadoop-as-a-service (HaaS) Market
9.2.1. U.S. Hadoop-as-a-service (HaaS) Market Deployment Type breakdown estimates & forecasts, 2019-2029 Organization Size breakdown estimates & forecasts, 2019-2029 End-User breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Hadoop-as-a-service (HaaS) Market
9.3. Europe Hadoop-as-a-service (HaaS) Market Snapshot
9.3.1. U.K. Hadoop-as-a-service (HaaS) Market
9.3.2. Germany Hadoop-as-a-service (HaaS) Market
9.3.3. France Hadoop-as-a-service (HaaS) Market
9.3.4. Spain Hadoop-as-a-service (HaaS) Market
9.3.5. Italy Hadoop-as-a-service (HaaS) Market
9.3.6. Rest of Europe Hadoop-as-a-service (HaaS) Market
9.4. Asia-Pacific Hadoop-as-a-service (HaaS) Market Snapshot
9.4.1. China Hadoop-as-a-service (HaaS) Market
9.4.2. India Hadoop-as-a-service (HaaS) Market
9.4.3. Japan Hadoop-as-a-service (HaaS) Market
9.4.4. Australia Hadoop-as-a-service (HaaS) Market
9.4.5. South Korea Hadoop-as-a-service (HaaS) Market
9.4.6. Rest of Asia Pacific Hadoop-as-a-service (HaaS) Market
9.5. Latin America Hadoop-as-a-service (HaaS) Market Snapshot
9.5.1. Brazil Hadoop-as-a-service (HaaS) Market
9.5.2. Mexico Hadoop-as-a-service (HaaS) Market
9.5.3. Rest of Latin America Hadoop-as-a-service (HaaS) Market
9.6. Rest of The World Hadoop-as-a-service (HaaS) Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Microsoft Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. IBM Corporation
10.2.3. Amazon web services
10.2.4. Cloudera Inc.
10.2.5. Google Inc.
10.2.6. MapR Technologies
10.2.7. EMC Corporation
10.2.8. Mortar Data (Datadog)
10.2.9. SAP SE
10.2.10. Datameer
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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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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