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Hadoop Market by Component (Hardware, Software, and Services), Deployment Model (On-premise, Cloud, and Hybrid), Organization Size (Large Enterprises and Small and medium enterprises), and End User (Manufacturing, BFSI, Retail & Consumer Goods, IT & Telecommunication, Healthcare, Government & Defense, Media & Entertainment, Energy & Utility, Trade & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

  • ALL3931812
  • 314 Pages
  • May 2020
  • ICT & Media
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Hadoop is an Apache open source framework programmed in Java. It allows distributed processing of large datasets widely known as big data across clusters of computers using simple programming models. The Hadoop framework application operates in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage. It runs its applications using the MapReduce algorithm, where the data is processed in parallel with other processes. Moreover, it is widely used to develop applications that perform complete statistical analysis in big data. Hadoop is a distributed processing technology used for big data analysis. The global Hadoop market has witnessed dynamic growth in the recent years, owing to its cost-effectiveness and efficiency over traditional data analysis tools such as RDBMS

Increase in competition in the business environment has compelled companies that generate huge amount of data to opt for Hadoop services. In addition, extremely low upfront costs compared to on-premise Hadoop propels the adoption of Hadoop as a Service (HaaS). Moreover, some of the other factors that drive the growth of the market include increase in adoption of Hadoop by small & medium enterprises (SMEs) and the characteristics such as flexibility and agility for businesses provided by Hadoop. Factors such as increase in penetration of Internet of Things (IoT) across the globe, surge 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 market.

However, concerns associated with low security standards for highly confidential data and lack of awareness about benefits of this technology are expected to hinder the growth of the market to a certain extent. Furthermore, ongoing partnership and funding taking place in the Hadoop market and rise in popularity of e-commerce are expected to provide significant revenue growth opportunities for the market growth in the coming years.

The Hadoop market is segmented on the basis of component, deployment model, organization size, end user, and region. On the basis of component, it is divided into hardware, software, and services. On the basis of deployment type, it is classified into on-premise, cloud, and hybrid. By organization size, it is bifurcated into small & medium-sized enterprises and large enterprises. By end user, it is segregated into manufacturing, BFSI, retail & consumer goods, IT & telecommunication, healthcare, government & defense, media & entertainment, energy & utility, trade & transportation, and others. Region -wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market players operating in the Hadoop market include Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Dell EMC, Google LLC, International Business Machines Corporation, MapR Technologies, MarkLogic Corporation, and Teradata Corporation.

KEY BENEFITS FOR STAKEHOLDERS

• The study provides an in-depth analysis of the current & future trends of the market to elucidate the imminent investment pockets.

• Information about key drivers, restraints, and opportunities and their impact analysis on the global Hadoop market share is provided.

• Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the Hadoop industry.

• The quantitative analysis of the market from 2019 to 2027 is provided to determine the global Hadoop market potential.

KEY MARKET SEGMENTS

By Component

• Hardware

• Software

• Services

By Deployment Model

• On-premise

• Cloud

• Hybrid

By Organization Size

• Large Enterprises

• Small & Medium Enterprises

By End User

• Manufacturing

• BFSI

• Retail & Consumer Goods

• IT & Telecommunication

• Healthcare

• Government & Defense

• Media & Entertainment

• Energy & Utility

• Trade & Transportation

• Others

By Region

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

o Russia

o Rest of Europe

• Asia-Pacific

o China

o India

o Japan

o South Korea

o Australia

o Rest of Asia-Pacific

• LAMEA

o Latin America

o Middle East

o Africa

KEY MARKET PLAYERS

• Amazon Web Services

• Cisco Systems, Inc.

• Cloudera, Inc.

• Datameer, Inc.

• Dell EMC

• Google LLC

• International Business Machines Corporation

• MapR Technologies

• MarkLogic Corporation

• Teradata Corporation

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

3.4.MARKET DYNAMICS

3.4.1.Drivers

3.4.1.1.Increase in competition in the business environment

3.4.1.2.Rise in adoption of Hadoop-as-a-Service

3.4.1.3.Increase in adoption of Hadoop services by small and medium enterprises (SMEs)

3.4.1.4.Flexibility and agility for businesses provided by Hadoop

3.4.2.Restraints

3.4.2.1.Low security for highly confidential data

3.4.2.2.Lack of awareness about benefits of Hadoop technology

3.4.3.Opportunities

3.4.3.1.Ongoing partnership and funding taking place in the Hadoop market

3.4.3.2.Rise in popularity of e-commerce

3.5.IMPACT OF GOVERNMENT REGULATIONS ON THE BIG DATA HADOOP MARKET

3.6.EVOLUTION OF HADOOP TECHNOLOGY

CHAPTER 4:GLOBAL HADOOP MARKET, BY COMPONENT

4.1.OVERVIEW

4.2.HARDWARE

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.SOFTWARE

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

4.4.SERVICES

4.4.1.Key market trends, growth factors, and opportunities

4.4.2.Market size and forecast, by region

4.4.3.Market analysis, by country

CHAPTER 5:GLOBAL HADOOP MARKET, BY DEPLOYMENT MODEL

5.1.OVERVIEW

5.2.ON-PREMISE

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.CLOUD

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

5.4.HYBRID

5.4.1.Key market trends, growth factors, and opportunities

5.4.2.Market size and forecast, by region

5.4.3.Market analysis, by country

CHAPTER 6:GLOBAL HADOOP MARKET, BY ORGANIZATION SIZE

6.1.OVERVIEW

6.2.LARGE ENTERPRISES

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.SMALL & MEDIUM ENTERPRISES

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

CHAPTER 7:HADOOP MARKET, BY END USER

7.1.OVERVIEW

7.2.MANUFACTURING

7.2.1.Key market trends, growth factors, and opportunities

7.2.2.Market size and forecast, by region

7.2.3.Market analysis, by country

7.3.BFSI

7.3.1.Key market trends, growth factors, and opportunities

7.3.2.Market size and forecast, by region

7.3.3.Market analysis, by country

7.4.RETAIL & CONSUMER GOODS

7.4.1.Key market trends, growth factors, and opportunities

7.4.2.Market size and forecast, by region

7.4.3.Market analysis, by country

7.5.IT & TELECOMMUNICATION

7.5.1.Key market trends, growth factors, and opportunities

7.5.2.Market size and forecast, by region

7.5.3.Market analysis, by country

7.6.HEALTHCARE

7.6.1.Key market trends, growth factors, and opportunities

7.6.2.Market size and forecast, by region

7.6.3.Market analysis, by country

7.7.GOVERNMENT & DEFENSE

7.7.1.Key market trends, growth factors, and opportunities

7.7.2.Market size and forecast, by region

7.7.3.Market analysis, by country

7.8.MEDIA & ENTERTAINMENT

7.8.1.Key market trends, growth factors, and opportunities

7.8.2.Market size and forecast, by region

7.8.3.Market analysis, by country

7.9.ENERGY & UTILITY

7.9.1.Key market trends, growth factors, and opportunities

7.9.2.Market size and forecast, by region

7.9.3.Market analysis, by country

7.10.TRADE & TRANSPORTATION SEGMENT

7.10.1.Key market trends, growth factors, and opportunities

7.10.2.Market size and forecast, by region

7.10.3.Market analysis, by country

7.11.OTHERS

7.11.1.Key market trends, growth factors, and opportunities

7.11.2.Market size and forecast, by region

7.11.3.Market analysis, by country

CHAPTER 8:HADOOP MARKET, BY REGION

8.1.OVERVIEW

8.2.NORTH AMERICA

8.2.1.Key market trends, growth factors and opportunities

8.2.2.Market size and forecast, by component

8.2.3.Market size and forecast, by deployment model

8.2.4.Market size and forecast, by organization size

8.2.5.Market size and forecast, by end user

8.2.6.Market analysis, by country

8.2.6.1.U.S.

8.2.6.1.1.Market size and forecast, by component

8.2.6.1.2.Market size and forecast, by deployment model

8.2.6.1.3.Market size and forecast, by organization size

8.2.6.1.4.Market size and forecast, by end user

8.2.6.2.Canada

8.2.6.2.1.Market size and forecast, by component

8.2.6.2.2.Market size and forecast, by deployment model

8.2.6.2.3.Market size and forecast, by organization size

8.2.6.2.4.Market size and forecast, by end user

8.3.EUROPE

8.3.1.Key market trends, growth factors and opportunities

8.3.2.Market size and forecast, by component

8.3.3.Market size and forecast, by deployment model

8.3.4.Market size and forecast, by organization size

8.3.5.Market size and forecast, by end user

8.3.6.Market analysis, by country

8.3.6.1.UK

8.3.6.1.1.Market size and forecast, by component

8.3.6.1.2.Market size and forecast, by deployment model

8.3.6.1.3.Market size and forecast, by organization size

8.3.6.1.4.Market size and forecast, by end user

8.3.6.2.Germany

8.3.6.2.1.Market size and forecast, by component

8.3.6.2.2.Market size and forecast, by deployment model

8.3.6.2.3.Market size and forecast, by organization size

8.3.6.2.4.Market size and forecast, by end user

8.3.6.3.France

8.3.6.3.1.Market size and forecast, by component

8.3.6.3.2.Market size and forecast, by deployment model

8.3.6.3.3.Market size and forecast, by organization size

8.3.6.3.4.Market size and forecast, by end user

8.3.6.4.Russia

8.3.6.4.1.Market size and forecast, by component

8.3.6.4.2.Market size and forecast, by deployment model

8.3.6.4.3.Market size and forecast, by organization size

8.3.6.4.4.Market size and forecast, by end user

8.3.6.5.Rest of Europe

8.3.6.5.1.Market size and forecast, by component

8.3.6.5.2.Market size and forecast, by deployment model

8.3.6.5.3.Market size and forecast, by organization size

8.3.6.5.4.Market size and forecast, by end user

8.4.ASIA-PACIFIC

8.4.1.Key market trends, growth factors and opportunities

8.4.2.Market size and forecast, by component

8.4.3.Market size and forecast, by deployment model

8.4.4.Market size and forecast, by organization size

8.4.5.Market size and forecast, by end user

8.4.6.Market analysis, by country

8.4.6.1.China

8.4.6.1.1.Market size and forecast, by component

8.4.6.1.2.Market size and forecast, by deployment model

8.4.6.1.3.Market size and forecast, by organization size

8.4.6.1.4.Market size and forecast, by end user

8.4.6.2.India

8.4.6.2.1.Market size and forecast, by component

8.4.6.2.2.Market size and forecast, by deployment model

8.4.6.2.3.Market size and forecast, by organization size

8.4.6.2.4.Market size and forecast, by end user

8.4.6.3.Japan

8.4.6.3.1.Market size and forecast, by component

8.4.6.3.2.Market size and forecast, by deployment model

8.4.6.3.3.Market size and forecast, by organization size

8.4.6.3.4.Market size and forecast, by end user

8.4.6.4.South Korea

8.4.6.4.1.Market size and forecast, by component

8.4.6.4.2.Market size and forecast, by deployment model

8.4.6.4.3.Market size and forecast, by organization size

8.4.6.4.4.Market size and forecast, by end user

8.4.6.5.Australia

8.4.6.5.1.Market size and forecast, by component

8.4.6.5.2.Market size and forecast, by deployment model

8.4.6.5.3.Market size and forecast, by organization size

8.4.6.5.4.Market size and forecast, by end user

8.4.6.6.Rest of Asia-Pacific

8.4.6.6.1.Market size and forecast, by component

8.4.6.6.2.Market size and forecast, by deployment model

8.4.6.6.3.Market size and forecast, by organization size

8.4.6.6.4.Market size and forecast, by end user

8.5.LAMEA

8.5.1.Key market trends, growth factors and opportunities

8.5.2.Market size and forecast, by component

8.5.3.Market size and forecast, by deployment model

8.5.4.Market size and forecast, by organization size

8.5.5.Market size and forecast, by end user

8.5.6.Market analysis, by country

8.5.6.1.Latin America

8.5.6.1.1.Market size and forecast, by component

8.5.6.1.2.Market size and forecast, by deployment model

8.5.6.1.3.Market size and forecast, by organization size

8.5.6.1.4.Market size and forecast, by end user

8.5.6.2.Middle East

8.5.6.2.1.Market size and forecast, by component

8.5.6.2.2.Market size and forecast, by deployment model

8.5.6.2.3.Market size and forecast, by organization size

8.5.6.2.4.Market size and forecast, by end user

8.5.6.3.Africa

8.5.6.3.1.Market size and forecast, by component

8.5.6.3.2.Market size and forecast, by deployment model

8.5.6.3.3.Market size and forecast, by organization size

8.5.6.3.4.Market size and forecast, by end user

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.TOP WINNING STRATEGIES

9.2.KEY PLAYER POSITIONING

9.3.COMPETITIVE DASHBOARD

9.4.COMPETITIVE HEATMAP

9.5.KEY DEVELOPMENTS

9.5.1.New product launches

9.5.2.Partnership

9.5.3.Acquisition

9.5.4.Product development

9.5.5.Collaboration

9.5.6.Business Expansion

9.5.7.Agreement

CHAPTER 10:COMPANY PROFILE

10.1.AMAZON WEB SERVICES, INC.

10.1.1.Company overview

10.1.2.Key executives

10.1.3.Company snapshot

10.1.4.Operating business segments

10.1.5.Product portfolio

10.1.6.Business performance

10.1.7.Key strategic moves and developments

10.3.CLOUDERA, INC.

10.3.1.Company overview

10.3.2.Key executives

10.3.3.Company snapshot

10.3.4.Operating business segments

10.3.5.Product portfolio

10.3.6.R&D expenditure

10.3.7.Business performance

10.3.8.Key strategic moves and developments

10.4.DATAMEER, INC.

10.4.1.Company overview

10.4.2.Key executives

10.4.3.Company snapshot

10.4.4.Product portfolio

10.4.5.Key strategic moves and developments

10.5.DELL EMC

10.5.1.Company overview

10.5.2.Key executives

10.5.3.Company snapshot

10.5.4.Operating business segments

10.5.5.Product portfolio

10.5.6.R&D expenditure

10.5.7.Business performance

10.5.8.Key strategic moves and developments

10.6.GOOGLE LLC

10.6.1.Company overview

10.6.2.Key Executives

10.6.3.Company snapshot

10.6.4.Product portfolio

10.6.5.R&D expenditure

10.6.6.Business performance

10.6.7.Key strategic moves and developments

10.7.INTERNATIONAL BUSINESS MACHINES CORPORATION

10.7.1.Company overview

10.7.2.Key executives

10.7.3.Company snapshot

10.7.4.Operating business segments

10.7.5.Product portfolio

10.7.6.R&D expenditure

10.7.7.Business performance

10.7.8.Key strategic moves and developments

10.8.MAPR TECHNOLOGIES, INC.

10.8.1.Company overview

10.8.2.Key executives

10.8.3.Company snapshot

10.8.4.Product portfolio

10.8.5.Key strategic moves and developments

10.9.MARKLOGIC CORPORATION

10.9.1.Company overview

10.9.2.Key executives

10.9.3.Company snapshot

10.9.4.Product portfolio

10.10.TERADATA CORPORATION

10.10.1.Company overview

10.10.2.Key Executives

10.10.3.Company snapshot

10.10.4.Product portfolio

10.10.5.R&D expenditure

10.10.6.Business performance

10.10.7.Key strategic moves and developments

LIST OF TABLES

TABLE 01.GLOBAL HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 02.HADOOP MARKET REVENUE FOR HARDWARE, BY REGION 2019–2027 ($BILLION)

TABLE 03.HADOOP MARKET REVENUE FOR HARDWARE TYPE, 2019–2027 ($BILLION)

TABLE 04.HADOOP MARKET REVENUE FOR SOFTWARE, BY REGION, 2019–2027 ($BILLION)

TABLE 05.HADOOP MARKET REVENUE FOR SOFTWARE TYPE, 2019–2027 ($BILLION)

TABLE 06.HADOOP MARKET REVENUE FOR SERVICES, BY REGION, 2019–2027 ($BILLION)

TABLE 07.HADOOP MARKET REVENUE FOR SERVICE TYPE, 2019–2027 ($BILLION)

TABLE 08.GLOBAL HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019-2027 ($BILLION)

TABLE 09.HADOOP MARKET REVENUE FOR ON-PREMISE, BY REGION, 2019–2027 ($BILLION)

TABLE 10.HADOOP MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2019–2027 ($BILLION)

TABLE 11.HADOOP MARKET REVENUE FOR HYBRID, BY REGION, 2019–2027 ($BILLION)

TABLE 12.GLOBAL HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($BILLION)

TABLE 13.HADOOP MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2019–2027 ($BILLION)

TABLE 14.HADOOP MARKET REVENUE FOR SMALL & MEDIUM ENTERPRISES, BY REGION, 2019–2027 ($BILLION)

TABLE 15.GLOBAL HADOOP MARKET REVENUE, BY END USER, 2019-2027 ($BILLION)

TABLE 16.HADOOP MARKET REVENUE FOR MANUFACTURING, BY REGION 2019–2027 ($BILLION)

TABLE 17.HADOOP MARKET REVENUE FOR BFSI, BY REGION 2019–2027 ($BILLION)

TABLE 18.HADOOP MARKET REVENUE FOR RETAIL & CONSUMER GOODS, BY REGION 2019–2027 ($BILLION)

TABLE 19.HADOOP MARKET REVENUE FOR IT & TELECOMMUNICATION, BY REGION 2019–2027 ($BILLION)

TABLE 20.HADOOP MARKET REVENUE FOR HEALTHCARE, BY REGION 2019–2027 ($BILLION)

TABLE 21.HADOOP MARKET REVENUE FOR GOVERNMENT & DEFENSE, BY REGION 2019–2027 ($BILLION)

TABLE 22.HADOOP MARKET REVENUE FOR MEDIA & ENTERTAINMENT, BY REGION 2019–2027 ($BILLION)

TABLE 23.HADOOP MARKET REVENUE FOR ENERGY & UTILITY, BY REGION 2019–2027 ($BILLION)

TABLE 24.HADOOP MARKET REVENUE FOR TRADE & TRANSPORTATION, BY REGION 2019–2027 ($BILLION)

TABLE 25.HADOOP MARKET REVENUE FOR OTHERS, BY REGION 2019–2027 ($BILLION)

TABLE 26.HADOOP MARKET REVENUE, BY REGION , 2019–2027 ($BILLION)

TABLE 27.NORTH AMERICA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 28.NORTH AMERICA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 29.NORTH AMERICA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 30.NORTH AMERICA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 31.NORTH AMERICA HADOOP MARKET REVENUE, BY COUNTRY, 2019–2027 ($BILLION)

TABLE 32.U.S. HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 33.U.S. HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 34.U.S. HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 35.U.S. HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 36.CANADA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 37.CANADA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 38.CANADA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 39.CANADA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 40.EUROPE HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 41.EUROPE HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 42.EUROPE HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 43.EUROPE HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 44.EUROPE HADOOP MARKET REVENUE, BY COUNTRY, 2019–2027 ($BILLION)

TABLE 45.UK HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 46.UK HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 47.UK HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 48.UK HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 49.GERMANY HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 50.GERMANY HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 51.GERMANY HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 52.GERMANY HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 53.FRANCE HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 54.FRANCE HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 55.FRANCE HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 56.FRANCE HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 57.RUSSIA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 58.RUSSIA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 59.RUSSIA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 60.RUSSIA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 61.REST OF EUROPE HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 62.REST OF EUROPE HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 63.REST OF EUROPE HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 64.REST OF EUROPE HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 65.ASIA-PACIFIC HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 66.ASIA-PACIFIC VHADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 67.ASIA-PACIFIC HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 68.ASIA-PACIFIC HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 69.ASIA-PACIFIC HADOOP MARKET REVENUE, BY COUNTRY, 2019–2027 ($BILLION)

TABLE 70.CHINA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 71.CHINA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 72.CHINA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 73.CHINA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 74.INDIA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 75.INDIA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 76.INDIA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 77.INDIA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 78.JAPAN HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 79.JAPAN HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 80.JAPAN HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 81.JAPAN HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 82.SOUTH KOREA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 83.SOUTH KOREA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 84.SOUTH KOREA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 85.SOUTH KOREA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 86.AUSTRALIA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 87.AUSTRALIA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 88.AUSTRALIA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 89.AUSTRALIA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 90.REST OF ASIA-PACIFIC HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 91.REST OF ASIA-PACIFIC HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 92.REST OF ASIA-PACIFIC HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 93.REST OF ASIA-PACIFIC HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 94.LAMEA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 95.LAMEA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 96.LAMEA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 97.LAMEA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 98.ASIA-PACIFIC HADOOP MARKET REVENUE, BY COUNTRY, 2019–2027 ($BILLION)

TABLE 99.LATIN AMERICA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 100.LATIN AMERICA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 101.LATIN AMERICA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 102.LATIN AMERICA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 103.MIDDLE EAST HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 104.MIDDLE EAST HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 105.MIDDLE EAST HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 106.MIDDLE EAST HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 107.AFRICA HADOOP MARKET REVENUE, BY COMPONENT, 2019–2027 ($BILLION)

TABLE 108.AFRICA HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019–2027 ($BILLION)

TABLE 109.AFRICA HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019–2027 ($BILLION)

TABLE 110.AFRICA HADOOP MARKET REVENUE, BY END USER, 2019–2027 ($BILLION)

TABLE 111.KEY NEW PRODUCT LAUNCHES (2017-2020)

TABLE 112.PARTNERSHIP (2017-2020)

TABLE 113.ACQUISTION (2017-2020)

TABLE 114.PRODUCT DEVELOPMENT (2017-2020)

TABLE 115.COLLABORATION (2017-2020)

TABLE 116.BUSINESS EXPANSION (2017-2020)

TABLE 117.AGREEMENT (2017-2020)

TABLE 118.AMAZON WEB SERVICES, INC.: KEY EXECUTIVES

TABLE 119.AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT

TABLE 120.AMAZON WEB SERVICES, INC.: OPERATING SEGMENTS

TABLE 121.AMAZON WEB SERVICES, INC.: PRODUCT PORTFOLIO

TABLE 125.CISCO SYSTEMS, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

TABLE 126.CLOUDERA, INC.: KEY EXECUTIVES

TABLE 127.CLOUDERA, INC.: COMPANY SNAPSHOT

TABLE 128.CLOUDERA, INC.: OPERATING SEGMENTS

TABLE 129.CLOUDERA, INC.: PRODUCT PORTFOLIO

TABLE 130.DATAMEER, INC.: KEY EXECUTIVES

TABLE 131.DATAMEER, INC.: COMPANY SNAPSHOT

TABLE 132.DATAMEER, INC.: PRODUCT PORTFOLIO

TABLE 133.DELL INC.: KEY EXECUTIVES

TABLE 134.DELL INC.: COMPANY SNAPSHOT

TABLE 135.DELL INC.: OPERATING SEGMENTS

TABLE 136.DELL EMC: PRODUCT PORTFOLIO

TABLE 137.GOOGLE LLC: KEY EXECUTIVES

TABLE 138.GOOGLE INC.: COMPANY SNAPSHOT

TABLE 139.GOOGLE LLC: PRODUCT PORTFOLIO

TABLE 140.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES

TABLE 141.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT

TABLE 142.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS

TABLE 143.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO

TABLE 144.MAPR TECHNOLOGIES, INC.: KEY EXECUTIVES

TABLE 145.MAPR TECHNOLOGIES, INC.: COMPANY SNAPSHOT

TABLE 146.MAPR TECHNOLOGIES, INC.: PRODUCT PORTFOLIO

TABLE 147.MAPR TECHNOLOGIES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS

TABLE 148.MARKLOGIC CORPORATION: KEY EXECUTIVES

TABLE 149.MARKLOGIC CORPORATION: COMPANY SNAPSHOT

TABLE 150.MARKLOGIC CORPORATION: PRODUCT PORTFOLIO

TABLE 151.TERADATA CORPORATION: KEY EXECUTIVES

TABLE 152.TERADATA CORPORATION: COMPANY SNAPSHOT

TABLE 153.TERADATA CORPORATION: PRODUCT PORTFOLIO

 
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