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Hadoop-as-a-service Market by Deployment Type and Pure Play, Organization Size and End User: Global Opportunity Analysis and Industry Forecast, 2019-2026

  • ID: 5118777
  • Report
  • April 2020
  • Region: Global
  • 251 pages
  • Allied Analytics LLP
1 of 5

FEATURED COMPANIES

  • Amazon web services
  • Cloudera Inc.
  • Datameer
  • EMC Corporation
  • Google Inc.
  • IBM Corporation
  • MORE
Hadoop-as-a-service (HaaS), also known as Hadoop in the cloud, is a Big Data analytics framework that stores and analyzes data in the cloud by using Hadoop. Users do not have to invest in or install additional infrastructure on premises when using the technology, as it is provided and managed by a third-party vendor. Hadoop is a software framework, which is used to manage data and storage for big data applications in clustered systems. It gives users the ability to collect, process, and analyze data. Despite Hadoop being the leader, not all organizations are capable of installing as well as maintaining in-house Hadoop environment. This helps them to concentrate on their core businesses. Hadoop-as-a-service tries to provide the same experience to users in the cloud. The adoption of HaaS has increased among medium & large scale organizations that do not have the infrastructure or ability to host Hadoop on premises.

Factors such as increase in penetration of Internet of Things (IoT) across the globe, increase in demand for cost-effective solutions for the management of Big Data, and wide acceptance of HaaS across different industry verticals such as IT, banking, manufacturing, and telecommunication fuel the growth of the Hadoop-as-a-service market. In addition, decline in prices of cloud-based services along with upsurge in demand for HaaS from small & medium enterprises (SMEs) drives the growth of the market. However, low security for highly confidential data and lack of awareness about benefits of this technology are expected to hinder the growth of the market. On the contrary, ongoing partnership and funding in Hadoop market and rising popularity of e-commerce are expected to provide lucrative opportunities for market growth in the coming years.

The Hadoop-as-a-service market is segmented into deployment type, organization size, end user, and region. On the basis of deployment type, the market is bifurcated into run it yourself (RIY) and pure play (PP). By organization size, it is categorized into small & medium-sized enterprises and large enterprises. Depending on end user, it is segregated into manufacturing, BFSI, retail & consumer goods, healthcare & life sciences, government & defense, media & entertainment, education, IT & telecommunication, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the Hadoop-as-a-service market include Microsoft Corporation, IBM Corporation, Amazon web services, Cloudera Inc., Google Inc., MapR Technologies, EMC Corporation, Mortar Data (Datadog), SAP SE, and Datameer.

KEY BENEFITS FOR STAKEHOLDERS
  • The study provides an in-depth analysis of the Hadoop-as-a-service market and current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analyses on the market is provided.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the Hadoop-as-a-Service industry.
  • The quantitative analysis of the market from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS

BY DEPLOYMENT TYPE
  • Run it Yourself (RIY)
  • Pure Play (PP)
BY ORGANIZATION SIZE
  • Small & Medium-sized Enterprises
  • Large Enterprises
BY END USER
  • Manufacturing
  • BFSI
  • Retail & Consumer Goods
  • Healthcare & Life Sciences
  • Government & Defense
  • Media & Entertainment
  • Education
  • IT & Telecommunication
  • Others
BY REGION
  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa
KEY MARKET PLAYERS
  • Microsoft Corporation
  • IBM Corporation
  • Amazon web services
  • Cloudera Inc.
  • Google Inc.
  • MapR Technologies
  • EMC Corporation
  • Mortar Data (Datadog)
  • SAP SE
  • Datameer
Note: Product cover images may vary from those shown
2 of 5

FEATURED COMPANIES

  • Amazon web services
  • Cloudera Inc.
  • Datameer
  • EMC Corporation
  • Google Inc.
  • IBM Corporation
  • MORE
Chapter 1: Introduction
1.1. Report Description
1.2. Key Benefits for Stakeholders
1.3. Key Market Segments
1.4. Research Methodology
1.4.1. Secondary Research
1.4.2. Primary Research
1.4.3. Analyst Tools & Models

Chapter 2: Executive Summary
2.1. Key Findings
2.1.1. Top Impacting Factors
2.1.2. Top Investment Pockets
2.2. Cxo Perspective

Chapter 3: Market Overview
3.1. Market Definition and Scope
3.2. Porter’S Five Forces Analysis
3.2.1. High Bargaining Power of Suppliers
3.2.2. Low-To-Moderate Bargaining Power of Buyers
3.2.3. Low-To-Moderate Threat of Substitutes
3.2.4. Moderate Threat of New Entrants
3.2.5. Moderate Competitive Rivalry
3.3. Case Studies
3.3.1. Pontis (Acquired by Amdocs)
3.3.2. Razorsight
3.1. Market Dynamics
3.1.1. Drivers
3.1.1.1. Increase in Competition in the Business Environment
3.1.1.2. Extremely Low Upfront Costs Compared to On-Premises Hadoop
3.1.1.3. Increasing Adoption of Haas by Small and Medium Enterprises (Smes)
3.1.1.4. Flexibility and Agility for Businesses Provided by Haas
3.1.2. Restraints
3.1.2.1. Low Security for Highly Confidential Data
3.1.2.2. Lack of Awareness About Benefits of this Technology
3.1.3. Opportunities
3.1.3.1. Ongoing Partnership and Funding Taking Place in Hadoop Market
3.1.3.2. Rising Popularity of E-Commerce
3.2. Impact of Government Regulations on the Global Big Data and Business Analytics Market
3.3. Pricing Models: Hadoop-As-A-Service Market
3.3.1. Freemium
3.3.2. Pay-Per-Use
3.3.3. Subscription Based
3.4. Monetizing Model Implemented by Haas Providers
3.4.1. Per Node Cost
3.4.2. Mapreduce Cost
3.4.3. Software Usage Per Hour
3.4.4. Data Transfer Cost
3.4.5. Storage Cost
3.4.6. Processing Cost
3.5. Evolution of Hadoop Technology

Chapter 4: Global Hadoop-As-A-Service Market, by Deployment Type
4.1. Overview
4.2. Run It Yourself (Riy)
4.2.1. Key Market Trends, Growth Factors, and Opportunities
4.2.2. Market Size and Forecast, by Region
4.2.3. Market Analysis, by Country
4.3. Pure Play (Pp)
4.3.1. Key Market Trends, Growth Factors, and Opportunities
4.3.2. Market Size and Forecast, by Region
4.3.3. Market Analysis, by Country

Chapter 5: Global Hadoop-As-A-Service Market, by Organization Size
5.1. Overview
5.2. Small and Medium-Sized Enterprises
5.2.1. Key Market Trends, Growth Factors, and Opportunities
5.2.2. Market Size and Forecast, by Region
5.2.3. Market Analysis, by Country
5.3. Large Enterprises
5.3.1. Key Market Trends, Growth Factors, and Opportunities
5.3.2. Market Size and Forecast, by Region
5.3.3. Market Analysis, by Country

Chapter 6: Hadoop-As-A-Service Market, by End-user
6.1. Overview
6.2. Manufacturing
6.2.1. Key Market Trends, Growth Factors, and Opportunities
6.2.2. Market Size and Forecast, by Region
6.2.3. Market Analysis, by Country
6.3. Bfsi
6.3.1. Key Market Trends, Growth Factors, and Opportunities
6.3.2. Market Size and Forecast, by Region
6.3.3. Market Analysis, by Country
6.4. Retail & Consumer Goods
6.4.1. Key Market Trends, Growth Factors, and Opportunities
6.4.2. Market Size and Forecast, by Region
6.4.3. Market Analysis, by Country
6.5. Healthcare & Life Sciences
6.5.1. Key Market Trends, Growth Factors, and Opportunities
6.5.2. Market Size and Forecast, by Region
6.5.3. Market Analysis, by Country
6.6. Government & Defense
6.6.1. Key Market Trends, Growth Factors, and Opportunities
6.6.2. Market Size and Forecast, by Region
6.6.3. Market Analysis, by Country
6.7. Media & Entertainment
6.7.1. Key Market Trends, Growth Factors, and Opportunities
6.7.2. Market Size and Forecast, by Region
6.7.3. Market Analysis, by Country
6.8. Education
6.8.1. Key Market Trends, Growth Factors, and Opportunities
6.8.2. Market Size and Forecast, by Region
6.8.3. Market Analysis, by Country
6.9. It & Telecommunication
6.9.1. Key Market Trends, Growth Factors, and Opportunities
6.9.2. Market Size and Forecast, by Region
6.9.3. Market Analysis, by Country
6.10. Others
6.10.1. Key Market Trends, Growth Factors, and Opportunities
6.10.2. Market Size and Forecast, by Region
6.10.3. Market Analysis, by Country

Chapter 7: Hadoop-As-A-Service Market, by Region
7.1. Overview
7.2. North America
7.2.1. Key Market Trends, Growth Factors and Opportunities
7.2.2. Market Size and Forecast, by Deployment Type
7.2.3. Market Size and Forecast, by Organization Size
7.2.4. Market Size and Forecast, by End-user
7.2.5. Market Analysis, by Country
7.2.5.1. U. S.
7.2.5.1.1. Market Size and Forecast, by Deployment Type
7.2.5.1.2. Market Size and Forecast, by Organization Size
7.2.5.1.3. Market Size and Forecast, by End-user
7.2.5.2. Canada
7.2.5.2.1. Market Size and Forecast, by Deployment Type
7.2.5.2.2. Market Size and Forecast, by Organization Size
7.2.5.2.3. Market Size and Forecast, by End-user
7.3. Europe
7.3.1. Key Market Trends, Growth Factors and Opportunities
7.3.2. Market Size and Forecast, by Deployment Type
7.3.3. Market Size and Forecast, by Organization Size
7.3.4. Market Size and Forecast, by End-user
7.3.5. Market Analysis, by Country
7.3.5.1. UK
7.3.5.1.1. Market Size and Forecast, by Deployment Type
7.3.5.1.2. Market Size and Forecast, by Organization Size
7.3.5.1.3. Market Size and Forecast, by End-user
7.3.5.2. Germany
7.3.5.2.1. Market Size and Forecast, by Deployment Type
7.3.5.2.2. Market Size and Forecast, by Organization Size
7.3.5.2.3. Market Size and Forecast, by End-user
7.3.5.3. France
7.3.5.3.1. Market Size and Forecast, by Deployment Type
7.3.5.3.2. Market Size and Forecast, by Organization Size
7.3.5.3.3. Market Size and Forecast, by End-user
7.3.5.4. Spain
7.3.5.4.1. Market Size and Forecast, by Deployment Type
7.3.5.4.2. Market Size and Forecast, by Organization Size
7.3.5.4.3. Market Size and Forecast, by End-user
7.3.5.5. Rest of Europe
7.3.5.5.1. Market Size and Forecast, by Deployment Type
7.3.5.5.2. Market Size and Forecast, by Organization Size
7.3.5.5.3. Market Size and Forecast, by End-user
7.4. Asia-Pacific
7.4.1. Key Market Trends, Growth Factors and Opportunities
7.4.2. Market Size and Forecast, by Deployment Type
7.4.3. Market Size and Forecast, by Organization Size
7.4.4. Market Size and Forecast, by End-user
7.4.5. Market Analysis, by Country
7.4.5.1. China
7.4.5.1.1. Market Size and Forecast, by Deployment Type
7.4.5.1.2. Market Size and Forecast, by Organization Size
7.4.5.1.3. Market Size and Forecast, by End-user
7.4.5.2. India
7.4.5.2.1. Market Size and Forecast, by Deployment Type
7.4.5.2.2. Market Size and Forecast, by Organization Size
7.4.5.2.3. Market Size and Forecast, by End-user
7.4.5.3. Japan
7.4.5.3.1. Market Size and Forecast, by Deployment Type
7.4.5.3.2. Market Size and Forecast, by Organization Size
7.4.5.3.3. Market Size and Forecast, by End-user
7.4.5.4. Australia
7.4.5.4.1. Market Size and Forecast, by Deployment Type
7.4.5.4.2. Market Size and Forecast, by Organization Size
7.4.5.4.3. Market Size and Forecast, by End-user
7.4.5.5. Rest of Asia-Pacific
7.4.5.5.1. Market Size and Forecast, by Deployment Type
7.4.5.5.2. Market Size and Forecast, by Organization Size
7.4.5.5.3. Market Size and Forecast, by End-user
7.5. LAMEA
7.5.1. Key Market Trends, Growth Factors and Opportunities
7.5.2. Market Size and Forecast, by Deployment Type
7.5.3. Market Size and Forecast, by Organization Size
7.5.4. Market Size and Forecast, by End-user
7.5.5. Market Analysis, by Country
7.5.5.1. Latin America
7.5.5.1.1. Market Size and Forecast, by Deployment Type
7.5.5.1.2. Market Size and Forecast, by Organization Size
7.5.5.1.3. Market Size and Forecast, by End-user
7.5.5.2. Middle East
7.5.5.2.1. Market Size and Forecast, by Deployment Type
7.5.5.2.2. Market Size and Forecast, by Organization Size
7.5.5.2.3. Market Size and Forecast, by End-user
7.5.5.3. Africa
7.5.5.3.1. Market Size and Forecast, by Deployment Type
7.5.5.3.2. Market Size and Forecast, by Organization Size
7.5.5.3.3. Market Size and Forecast, by End-user

Chapter 8: Competitive Landscape
8.1. Top Winning Strategies
8.2. Key Player Positioning
8.3. Competitive Dashboard
8.4. Competitive Heatmap
8.5. Key Developments
8.5.1. New Product Launches
8.5.2. Partnership
8.5.3. Acquisition
8.5.4. Product Development
8.5.5. Collaboration
8.5.6. Business Expansion
8.5.7. Agreement

Chapter 9: Company Profile
9.1. Amazon Web Services, Inc.
9.1.1. Company Overview
9.1.2. Key Executives
9.1.3. Company Snapshot
9.1.4. Operating Business Segments
9.1.5. Product Portfolio
9.1.6. Business Performance
9.1.7. Key Strategic Moves and Developments
9.2. Cloudera, Inc.
9.2.1. Company Overview
9.2.2. Key Executives
9.2.3. Company Snapshot
9.2.4. Product Portfolio
9.2.5. R&D Expenditure
9.2.6. Business Performance
9.2.7. Key Strategic Moves and Developments
9.3. Datadog
9.3.1. Company Overview
9.3.2. Key Executives
9.3.3. Company Snapshot
9.3.4. Product Portfolio
9.3.5. Key Strategic Moves and Developments
9.4. Datameer, Inc.
9.4.1. Company Overview
9.4.2. Key Executives
9.4.3. Company Snapshot
9.4.4. Product Portfolio
9.4.5. Key Strategic Moves and Developments
9.5. Dell Emc
9.5.1. Company Overview
9.5.2. Key Executives
9.5.3. Company Snapshot
9.5.4. Operating Business Segments
9.5.5. Product Portfolio
9.5.6. R&D Expenditure
9.5.7. Business Performance
9.5.8. Key Strategic Moves and Development
9.6. Google LLC
9.6.1. Company Overview
9.6.2. Key Executives
9.6.3. Company Snapshot
9.6.4. Product Portfolio
9.6.5. R&D Expenditure
9.6.6. Business Performance
9.6.7. Key Strategic Moves and Developments
9.7. International Business Machines Corporation
9.7.1. Company Overview
9.7.2. Key Executives
9.7.3. Company Snapshot
9.7.4. Operating Business Segments
9.7.5. Product Portfolio
9.7.6. R&D Expenditure
9.7.7. Business Performance
9.7.8. Key Strategic Moves and Developments
9.8. Mapr Technologies, Inc.
9.8.1. Company Overview
9.8.2. Key Executives
9.8.3. Company Snapshot
9.8.4. Product Portfolio
9.8.5. Key Strategic Moves and Developments
9.9. Microsoft Corporation
9.9.1. Company Overview
9.9.2. Key Executives
9.9.3. Company Snapshot
9.9.4. Operating Business Segments
9.9.5. Product Portfolio
9.9.6. R&D Expenditure
9.9.7. Business Performance
9.9.8. Key Strategic Moves and Developments
9.10. Sap Se (Altiscale)
9.10.1. Company Overview
9.10.2. Key Executives
9.10.3. Company Snapshot
9.10.4. Operating Business Segments
9.10.5. Product Portfolio
9.10.6. R&D Expenditure
9.10.7. Business Performance
9.10.8. Key Strategic Moves and Developments
Note: Product cover images may vary from those shown
3 of 5

FEATURED COMPANIES

  • Amazon web services
  • Cloudera Inc.
  • Datameer
  • EMC Corporation
  • Google Inc.
  • IBM Corporation
  • MORE
According to the report titled, 'Hadoop-as-a-Service Market by Deployment Type, Organization Size, and End User: Opportunity Analysis and Industry Forecast, 2019-2026', the Hadoop-as-a-service market size was valued at $ 5,279million in 2018, and is projected to reach $74,097million by 2026, growing at a CAGR of 39.2% from 2019 to 2026.

Factors such as increase in penetration of Internet of Things (IoT) across the globe;rise in demand for cost-effective solutions for the management of Big Data; and wideacceptance of HaaS across different industry verticals such as IT, banking, manufacturing, and telecommunication significantly contribute toward the growth of the Hadoop-as-a-service market. In addition, decline in prices of cloud-based services and surge in demand of HaaS from small & medium enterprises (SMEs) are expected to fuel the market growth. In addition, rise in dependency on situational awareness systems (SASs) for cybersecurity is expected to drive the growth of the market. However, low security for highly confidential data and lack of awareness about benefits of this technology are expected to impact negatively on the Hadoop-as-a-service market growth. On the contrary, ongoing partnership&funding taking place in Hadoop market and rising popularity of e-commerce are expected to provide lucrative opportunities for the market growth in the coming years.

Depending on deployment type, the run-it-yourself (RIY)segment dominated the overall Hadoop-as-a-service market share in2018, and is expected to continue this trendduring the forecast period. This isattributed to its key benefit that the user does not have to worry about the installation, configuration, and regular updating part of the software, as the model provides full-service support options. However, the pure play (PP) segment is expected to witness highest growth in the near future, owing to the fact that the service does not require hand-operated intervention to configure when the data size extents or contracts.In addition, the service provides users with nontechnical interface to use HDaaS without understanding the underlying software.

The IT & telecommunicationsegment dominated the Hadoop-as-a-service market sizein 2018, and is expected to continue this trend during the forecast period. Number of leading telecommunication organizations have opted to deploy Big Data systems to enable large-scale data analysis and processing. This has led them in handling customer issues and to achieve customer satisfaction, which, in turn, drive the adoption of Hadoop-as-a-services. However, the healthcare & life sciencessegment is expected to witness highest CAGR during the forecast period, owing tosurge in adoption of Hadoop in fraud prevention and detection, which positively impactsthe market growth. For instance, almost 10% of the healthcare insurance payments are attributed to fraudulent claims, and worldwide this is estimated to be a multibillion dollar problem. The capability of Hadoopto store large unstructured data sets in NoSQL databases and surge in use of this data to analyze and detect patterns in the field of fraud detection boostthe growth of the Hadoop-as-a-service industry.

Key Findings Of The Study

By deployment type,the run-it-yourself (RIY)segment dominated the Hadoop-as-a-service market. However, the pure play (PP)segment is expected to exhibit significantgrowthduring the forecast period.
Depending on organization size, the large enterprise segment accounted for the highest revenuein 2018.
On the basis of end user, IT & telecommunication industry generated the highest revenuein 2018. However, healthcare & life sciences industry isexpected to witness highest growth rate in the near future.
Region wise, North Americais expected to witness significant growth in the upcoming years.However, Asia-Pacific is expected to witness highest growth rate in the near future.

Some of the key market players profiled in the report include Microsoft Corporation, IBM Corporation, Amazon web services, Cloudera Inc., Google Inc., MapR Technologies, EMC Corporation, Mortar Data (Datadog), SAP SE, and Datameer.This study includes Hadoop-as-a-service market analysis,hadoop-as-a-service market trends, and future estimations to determine the imminent investment pockets.
Note: Product cover images may vary from those shown
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  • Microsoft Corporation
  • IBM Corporation
  • Amazon web services
  • Cloudera Inc.
  • Google Inc.
  • MapR Technologies
  • EMC Corporation
  • Mortar Data (Datadog)
  • SAP SE
  • Datameer
Note: Product cover images may vary from those shown
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The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

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