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Hadoop-as-a-service (HaaS) Market by Deployment Type (Run it Yourself (RIY) and Pure Play (PP), Organization Size (Small & Medium-sized Enterprises and Large Enterprises), and End User (Manufacturing, BFSI, Retail & Consumer Goods, Healthcare & Life Sciences, Government & Defense, Media & Entertainment, Education, IT & Telecommunication, and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026

A00389
Pages: 251
Apr 2020 | 10398 Views
 
Author(s) : Rachita Rake
Tables: 121
Charts: 72
 

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Hadoop-as-a-service (HaaS) Market Statistics: 2026

Hadoop is an open-source software administered by Apache Software Foundation, which is an American non-profit corporation. It is a distributed processing technology, which can be used in different sectors for Big Data analysis. Hadoop is cost-effective as compared to traditional data analysis tools such as relational database management system (RDBMS). Apache Hadoop is a simple, powerful, efficient, and shared platform. However, Hadoop technology deployment provides features such as scalability, which helps in reducing operating cost and use of commodity hardware for reliable distribution. The global Hadoop-as-a-service market size was valued at $5,279.00 million in 2018, and is projected to reach $ 74,097.00 million by 2026, growing at a CAGR of 39.2% from 2019 to 2026.

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 The run-it-yourself (RIY) segment dominated the Hadoop-as-a-service market in 2018, and is expected to continue this trend during the forecast period. However, the pure play (PP) segment is expected to witness highest CAGR during the forecast period.This is attributed to the fact that pureplay HaaS has a continually running Hadoop cluster that end users, e.g. data scientists, can start working with immediately, thus fueling its adoption in the coming years. In addition, pureplay services are more likely to support additional components in the Hadoop ecosystem, such as Oozie for job scheduling and Sqooop for data transfer, which is expected to increase their adoption, thus boosting the growth of the market.

The large enterprises segment dominated the Hadoop-as-a-Service market share in 2018, and is expected to continue this trend during the forecast period. This is attributed to the fact that large enterprises deal with structured, unstructured, or binary data, which fuels the need to adopt Hadoop in these organizations at high rate. However, the small & medium enterprise segment is expected to grow at the highest rate during the forecast period,due to rise in number of SMEsin developing economies and increase in awareness of HaaSamong end users.Furthermore, ongoing advancements in HaaSis one of the factors, which facilitate businesses or organizations to perform the analytics process with minimum capital investment. This is the main reason due to which SMEs across the world are showing interest in enrolling HaaS solutions, which is creating lucrative opportunities for the market.

North America dominated the market in 2018, and is projected to continue this trend during the Hadoop-as-a-service market forecast period. The growth of the region is attributed to the presence of a key market players, such as Microsoft Corporation, IBM Corporation, and Amazon Web Services. Moreover, rise inadoption of Big Data technologies among organizations to enhance the consumer target marketing and risk management abilities is expected to boost the growth of the market. However, the Asia-Pacific region is expected to witness highest growth rate in the upcoming years, due to number of factors such as increase in penetration of internet in the region, technologically & digitally improving industrial infrastructures, and exponential increase in the numberof mobile users.

The report focuses on the growth prospects, restraints, and marketanalysis. The study provides Porter’s five forces analysis of the Hadoop-as-a-service industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the market.

Segment review

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

Hadoop-as-a-service (HaaS) Market
By Deployment Type

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Run It Yourself (RIY) is projected as one of the most lucrative segments.

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Top impacting factors    

Increase in competition in the business environment, extremely low upfront costs compared to on-premises Hadoop, surge inadoption of HaaS by small & medium enterprises (SMEs), and flexibility & agility for businesses provided by HaaS are expected to fuel the Hadoop-as-a-service market growth. In addition, rise in ongoing partnership and funding in the Hadoop market and increase in popularity of e-commerce are expected to provide Hadoop-as-a-service market opportunity. However, lack of security for highly confidential data and low awareness about benefits of this technology are expected to hamper the growth of the market during the forecast period.

Hadoop-as-a-service (HaaS) Market
By End User

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Healthcare & Life Science industry is projected as one of the most significant segments.

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Increase in competition in the business environment

Rise incompetition in the business environment is a key factor driving the demand for Hadoop-as-a-service (HAAS or HDAAS) market. With rise in adoption of Big Data in enterprises, efficient data management has become the need of the hour. Data management & analysis helps enterprises to derive deep-dive insights, which would help them take actionable and profitable business decisions. In addition, it assists organizations in understanding market factors such as customer buying criteria and hadoop-as-a-service market trends, thereby assisting companies in making future plans and developing competitive strategies.

Hadoop-as-a-service (HaaS) Market
By Region

2026
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific region is projected as one of the most significant segments.

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Extremely low upfront costs compared to on-premises Hadoop

Adoption of Hadoop was difficult due to huge capital investment required for infrastructure installation and appointment of expert staff. However, Hadoop-as-a-service has provided small & medium organization access to a powerful data analytics platform by offering them a cost-effective solution. HAAS providers have multiple options for customers, and users can choose from various packages offered by suppliers. Moreover, companies may offer some templatized clusters and services for small organizations. HaaS has several natural advantages over the challenges faced on premises. Customers pay only for the resources they actually consume, and only when they use them, which makes the cost less according to the requirement. The adoption of these services is expected to increase in the upcoming years, as the cost of Hadoop-as-a-service is low as compared to on-premises Hadoop, which boosts the growth of the hadoop-as-a-service (HaaS) market. 

Key Benefits For Stakeholders

  • This study includes the Hadoop-as-a-service market analysis, trends, and future estimations to determine the imminent investment pockets.

  • The report presents information related to key drivers, restraints, and opportunities of the Hadoop-as-a-service market.

  • The market size is quantitatively analyzed from 2018 to 2026to highlight the financial competency of the industry.

  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in theHadoop-as-a-Service market.

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
 

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

LIST OF TABLES

TABLE 01.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE , 2018–2026 ($MILLION)
TABLE 02.HADOOP-AS-A-SERVICE MARKET REVENUE FOR RUN IT YOURSELF (RIY), BY REGION 2018–2026 ($MILLION)
TABLE 03.HADOOP-AS-A-SERVICE MARKET REVENUE FOR PURE PLAY (PP), BY REGION, 2018–2026 ($MILLION)
TABLE 04.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018-2026 ($MILLION)
TABLE 05.HADOOP-AS-A-SERVICE MARKET REVENUE FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY REGION, 2018–2026 ($MILLION)
TABLE 06.HADOOP-AS-A-SERVICE MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2018–2026 ($MILLION)
TABLE 07.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018-2026 ($MILLION)
TABLE 08.HADOOP-AS-A-SERVICE MARKET REVENUE FOR MANUFACTURING, BY REGION 2018–2026 ($MILLION)
TABLE 09.HADOOP-AS-A-SERVICE MARKET REVENUE FOR BFSI, BY REGION 2018–2026 ($MILLION)
TABLE 10.HADOOP-AS-A-SERVICE MARKET REVENUE FOR RETAIL & CONSUMER GOODS, BY REGION 2018–2026 ($MILLION)
TABLE 11.HADOOP-AS-A-SERVICE MARKET REVENUE FOR HEALTHCARE & LIFE SCIENCES, BY REGION 2018–2026 ($MILLION)
TABLE 12.HADOOP-AS-A-SERVICE MARKET REVENUE FOR GOVERNMENT & DEFENSE, BY REGION 2018–2026 ($MILLION)
TABLE 13.HADOOP-AS-A-SERVICE MARKET REVENUE FOR MEDIA & ENTERTAINMENT, BY REGION 2018–2026 ($MILLION)
TABLE 14.HADOOP-AS-A-SERVICE MARKET REVENUE FOR EDUCATION, BY REGION 2018–2026 ($MILLION)
TABLE 15.HADOOP-AS-A-SERVICE MARKET REVENUE FOR IT & TELECOMMUNICATION, BY REGION 2018–2026 ($MILLION)
TABLE 16.HADOOP-AS-A-SERVICE MARKET REVENUE FOR OTHERS, BY REGION 2018–2026 ($MILLION)
TABLE 17.HADOOP-AS-A-SERVICE MARKET REVENUE, BY REGION , 2018–2026 ($MILLION)
TABLE 18.NORTH AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 19.NORTH AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 20.NORTH AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 21.NORTH AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 22.U.S. HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 23.U.S. HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 24.U.S. HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 25.CANADA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 26.CANADA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 27.CANADA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 28.EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 29.EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 30.EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 31.EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 32.UK HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 33.UK HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 34.UK HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 35.GERMANY HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 36.GERMANY HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 37.GERMANY HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 38.FRANCE HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 39.FRANCE HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 40.FRANCE HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 41.SPAIN HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 42.SPAIN HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 43.SPAIN HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 44.REST OF EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 45.REST OF EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 46.REST OF EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 47.ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 48.ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 49.ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 50.ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 51.CHINA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 52.CHINA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 53.CHINA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 54.INDIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 55.INDIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 56.INDIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 57.JAPAN HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 58.JAPAN HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 59.JAPAN HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 60.AUSTRALIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 61.AUSTRALIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 62.AUSTRALIA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 63.REST OF ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 64.REST OF ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 65.REST OF ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 66.LAMEA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 67.LAMEA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 68.LAMEA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 69.LAMEA HADOOP-AS-A-SERVICE MARKET REVENUE, BY COUNTRY, 2018–2026 ($MILLION)
TABLE 70.LATIN AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 71.LATIN AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 72.LATIN AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 73.MIDDLE EAST HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 74.MIDDLE EAST HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 75.MIDDLE EAST HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 76.AFRICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE  , 2018–2026 ($MILLION)
TABLE 77.AFRICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
TABLE 78.AFRICA HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
TABLE 79.KEY NEW PRODUCT LAUNCHES (2017-2020)
TABLE 80.PARTNERSHIP (2017-2020)
TABLE 81.ACQUISTION (2017-2020)
TABLE 82.PRODUCT DEVELOPMENT (2017-2020)
TABLE 83.COLLABORATION (2017-2020)
TABLE 84.BUSINESS EXPANSION (2017-2020)
TABLE 85.AGREEMENT (2017-2020)
TABLE 86.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES
TABLE 87.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 88.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS
TABLE 89.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO
TABLE 90.CLOUDERA, INC.: KEY EXECUTIVES
TABLE 91.CLOUDERA, INC.: COMPANY SNAPSHOT
TABLE 92.CLOUDERA, INC.: PRODUCT PORTFOLIO
TABLE 93.DATADOG: KEY EXECUTIVES
TABLE 94.DATADOG: COMPANY SNAPSHOT
TABLE 95.DATADOG: PRODUCT PORTFOLIO
TABLE 96.DATAMEER, INC.: KEY EXECUTIVES
TABLE 97.DATAMEER, INC.: COMPANY SNAPSHOT
TABLE 98.DATAMEER, INC.: PRODUCT PORTFOLIO
TABLE 99.DELL INC.: KEY EXECUTIVES
TABLE 100.DELL INC.: COMPANY SNAPSHOT
TABLE 101.DELL INC.: OPERATING SEGMENTS
TABLE 102.DELL EMC: PRODUCT PORTFOLIO
TABLE 103.GOOGLE LLC: KEY EXECUTIVES
TABLE 104.GOOGLE INC.: COMPANY SNAPSHOT
TABLE 105.GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 106.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 107.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 108.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 109.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 110.MAPR TECHNOLOGIES, INC.: KEY EXECUTIVES
TABLE 111.MAPR TECHNOLOGIES, INC.: COMPANY SNAPSHOT
TABLE 112.MAPR TECHNOLOGIES, INC.: PRODUCT PORTFOLIO
TABLE 113.MAPR TECHNOLOGIES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 114.MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 115.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 116.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 117.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 118.SAP SE: KEY EXECUTIVES
TABLE 119.SAP SE: COMPANY SNAPSHOT
TABLE 120.SAP SE: OPERATING SEGMENTS
TABLE 121.SAP SE: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.HADOOP-AS-A-SERVICE MARKET, 2018–2026
FIGURE 03.HADOOP-AS-A-SERVICE MARKET, 2018–2026
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
FIGURE 08.LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 09.MODERATE THREAT OF NEW ENTRANTS
FIGURE 10.MODERATE COMPETITIVE RIVALRY
FIGURE 11.HADOOP-AS-A-SERVICE INDUSTRY
FIGURE 12.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY DEPLOYMENT TYPE , 2018–2026 ($MILLION)
FIGURE 13.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR RUN IT YOURSELF (RIY), BY COUNTRY, 2018 & 2026(%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR PURE PLAY (PP), BY COUNTRY, 2018 & 2026(%)
FIGURE 15.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2018–2026 ($MILLION)
FIGURE 16.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES, BY COUNTRY, 2018 & 2026 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2018 & 2026 (%)
FIGURE 18.GLOBAL HADOOP-AS-A-SERVICE MARKET REVENUE, BY END USER, 2018–2026 ($MILLION)
FIGURE 19.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR MANUFACTURING, BY COUNTRY, 2018 & 2026(%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR BFSI, BY COUNTRY, 2018 & 2026(%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR RETAIL & CONSUMER GOODS, BY COUNTRY, 2018 & 2026(%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR HEALTHCARE & LIFE SCIENCES, BY COUNTRY, 2018 & 2026(%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR GOVERNMENT & DEFENSE, BY COUNTRY, 2018 & 2026(%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR MEDIA & ENTERTAINMENT, BY COUNTRY, 2018 & 2026(%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR EDUCATION, BY COUNTRY, 2018 & 2026(%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR IT & TELECOMMUNICATION, BY COUNTRY, 2018 & 2026(%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS FOR HADOOP-AS-A-SERVICE MARKET FOR OTHERS, BY COUNTRY, 2018 & 2026(%)
FIGURE 28.U.S. HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 29.CANADA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 30.UK HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 31.GERMANY HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 32.FRANCE HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 33.SPAIN HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 34.REST OF EUROPE HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 35.CHINA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 36.INDIA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 37.JAPAN HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 38.AUSTRALIA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 39.REST OF ASIA-PACIFIC HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 40.LATIN AMERICA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 41.MIDDLE EAST HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 42.AFRICA HADOOP-AS-A-SERVICE MARKET REVENUE, 2018–2026 ($MILLION)
FIGURE 43.TOP WINNING STRATEGIES, BY YEAR, 2016-2019
FIGURE 44.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
FIGURE 45.TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
FIGURE 46.HADOOP-AS-A-SERVICE (SAS) MARKET: KEY PLAYER POSITIONING, 2018
FIGURE 47.COMPETITIVE DASHBOARD
FIGURE 48.COMPETITIVE DASHBOARD
FIGURE 49.COMPETITIVE HEATMAP
FIGURE 50.AMAZON.COM, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 51.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 52.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 53.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 54.CLOUDERA, INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 55.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 56.DELL INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 57.DELL INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 58.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 59.ALPHABET INC.: REVENUE, 2016–2018 ($MILLION)
FIGURE 60.ALPHABET INC.: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 61.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 62.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 63.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 64.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 65.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 66.MICROSOFT CORPORATION: REVENUE, 2016–2018 ($MILLION)
FIGURE 67.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 68.MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
FIGURE 69.R&D EXPENDITURE, 2016–2018 ($MILLION)
FIGURE 70.SAP SE: REVENUE, 2016–2018 ($MILLION)
FIGURE 71.SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 72.SAP SE: REVENUE SHARE BY REGION, 2018 (%)

 
 

The usage of Big Data and Hadoop is increasing in cloud computing, due to rise in data generation and increase inpopularity of advanced analytics. Companies are depending on cloud technology to optimize massive volumeof data from various sources. Cloud platforms are agile, scalable, and have high adaptability. These features make Hadoop-as-a-servicea more flexible platform for deploying various analytical tools. The major shift to cloud computing is identified to be one of the key factors contributing toward growth of the global Hadoop market.

The global Hadoop-as-a-service market is moderately concentrated, and companies are focuson leveraging new technologies for offering Hadoop-as-a-service to cater to the evolving end-user requirements. Key players have adopted various growth strategies to enhance and develop their product portfolio, garner maximum market share, and increase their market penetration. Rise in number of key players is expected to intensify the competition on a global level. Surge incompetition among key players is expected to lower the cost and encourage the development of technologicallyadvanced products during the forecast period. Companies in this market are actively engaged in R&D activities, with a view to develop and introduce effective systems that can cater to the requirements of various end-use industries.

The key players of the market are adopting different strategies to strengthen their position and business reach in the market. For instance, in 2019, Hewlett Packard Enterprise acquired the business assets of Hadoop pioneer MapR, which provides a data platform for artificial intelligence and analytics applications powered by scale-out, multi-cloud, and multi-protocol file system technology. In addition, Teradata announced new Vantage capabilities to simplify analytics ecosystems on their cloud deployments. As a part of new offerings, Teradata launched a Hadoop Migration Program, which provides a collection of tools, processes, and services to help companies shift from traditional Hadoop infrastructure.
 

 

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