市場調查報告書

Hadoop全球市場機會分析/行業預測(2020-2027年):按組件,部署模型,組織規模,最終用戶劃分

Hadoop Market by Component, Deployment Model, Organization Size, and End User: Global Opportunity Analysis and Industry Forecast, 2020-2027

出版商 Allied Market Research 商品編碼 948586
出版日期 內容資訊 英文 314 Pages
商品交期: 2-3個工作天內
價格
Hadoop全球市場機會分析/行業預測(2020-2027年):按組件,部署模型,組織規模,最終用戶劃分 Hadoop Market by Component, Deployment Model, Organization Size, and End User: Global Opportunity Analysis and Industry Forecast, 2020-2027
出版日期: 2020年05月01日內容資訊: 英文 314 Pages
簡介

近年來,全球Hadoop市場發展迅速,因為它比傳統的數據分析工具(如RDBMS)更具成本效益和效率。商業環境中日益激烈的競爭迫使生成大量數據的公司選擇Hadoop服務。此外,與本地Hadoop相比,初始成本非常低,這推動了Hadoop即服務(HaaS)的採用。此外,中小型企業(SME)越來越多地採用Hadoop,以及Hadoop提供的業務靈活性和敏捷性也是推動市場增長的因素。擴展全球物聯網(IoT),對大數據管理具有成本效益的解決方案的需求激增,HaaS在IT,銀行,製造和通信等各個行業領域的廣泛接受。正在推動Hadoop市場的增長。但是,與敏感數據的低安全標準有關的擔憂以及對該技術的好處的認識不足,預計將在一定程度上阻礙市場的增長。同時,在Hadoop市場上持續的合作夥伴關係和資金以及電子商務的日益普及,預計將為未來幾年的市場增長提供巨大的收入增長機會。

該報告調查了全球Hadoop市場,並提供了市場概況和動態,按細分市場和區域進行的市場規模分析和預測以及主要公司的概況。

第1章簡介

第2章執行摘要

第3章市場概述

  • 市場定義和範圍
  • 波特的五力分析
  • 案例研究
    • Pontis(Amdocs收購)
    • Razorsight
  • 市場動態
    • 主持人
      • 加劇商業環境中的競爭
      • 越來越多地採用Hadoop即服務
      • 中小企業越來越採用Hadoop服務
      • Hadoop提供的業務靈活性和敏捷性
    • 抑制因子
      • 敏感數據的安全性低
      • 缺乏對Hadoop技術優勢的認識
    • 市場機會
      • Hadoop市場中持續的合作關係和資金
      • 電子商務的日益普及
  • 政府法規對大數據Hadoop市場的影響
  • Hadoop技術的發展

第4章按組件劃分的全球Hadoop市場

  • 概述
  • 硬件
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和地區預測
    • 國家市場分析
  • 軟件
  • 服務

第5章按使用模式劃分的全球Hadoop市場

  • 概述
  • 內部部署
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和地區預測
    • 國家市場分析
  • 雜種

第6章按組織規模劃分的全球Hadoop市場

  • 概述
  • 大型公司
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和地區預測
    • 國家市場分析
  • 中小型公司

第7章最終用戶的Hadoop市場

  • 概述
  • 製造業
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和地區預測
    • 國家市場分析
  • BFSI
  • 零售和消費品
  • IT與通訊
  • 醫療保健
  • 政府與國防
  • 媒體與娛樂
  • 能源與公用事業
  • 貿易與運輸部門
  • 其他

第8章按地區劃分的Hadoop市場

  • 概述
  • 北美
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和按組成部分的預測
    • 市場規模和採用的模型進行預測
    • 市場規模和按組織規模預測
    • 最終用戶的市場規模和預測
    • 國家市場分析
      • 美國
      • 加拿大
  • 歐洲
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和按組成部分的預測
    • 市場規模和採用的模型進行預測
    • 市場規模和按組織規模預測
    • 最終用戶的市場規模和預測
    • 國家市場分析
      • 英國
      • 德國
      • 法國
      • 俄羅斯
      • 其他歐洲
  • 亞太地區
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和按組成部分的預測
    • 市場規模和採用的模型進行預測
    • 市場規模和按組織規模預測
    • 最終用戶的市場規模和預測
    • 國家市場分析
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳大利亞
      • 其他亞太地區
  • 拉丁美洲/中東/非洲
    • 主要市場趨勢,增長因素,機遇
    • 市場規模和按組成部分的預測
    • 市場規模和採用的模型進行預測
    • 市場規模和按組織規模預測
    • 最終用戶的市場規模和預測
    • 國家市場分析
      • 拉丁美洲
      • 中東
      • 非洲

第9章競爭情況

  • 主要成功策略
  • 主要公司的定位
  • 競爭性儀表板
  • 競爭熱圖
  • 主要發展
    • 推出新產品
    • 合作夥伴
    • 獲取
    • 產品開發
    • 合作
    • 業務擴展
    • 合同

第10章公司簡介

  • AMAZON WEB SERVICES, INC.
  • CLOUDERA, INC.
  • DATAMEER, INC.
  • DELL EMC
  • GOOGLE LLC
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • MAPR TECHNOLOGIES, INC.
  • MARKLOGIC CORPORATION
  • TERADATA CORPORATION
目錄
Product Code: A00695

Title:
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.

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
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Russia
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • 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

TABLE OF CONTENTS

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

LIST OF FIGURES

  • FIGURE 01.KEY MARKET SEGMENTS
  • FIGURE 02.HADOOP MARKET, 2019-2027
  • FIGURE 03.HADOOP MARKET, 2019-2027
  • FIGURE 04.TOP IMPACTING FACTORS
  • FIGURE 05.TOP INVESTMENT POCKETS
  • FIGURE 06.KEY PLAYERS IN GLOBAL HADOOP MARKET
  • FIGURE 07.HIGH BARGAINING POWER OF SUPPLIERS
  • FIGURE 08.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
  • FIGURE 09.LOW-TO-MODERATE THREAT OF SUBSTITUTES
  • FIGURE 10.MODERATE THREAT OF NEW ENTRANTS
  • FIGURE 11.MODERATE COMPETITIVE RIVALRY
  • FIGURE 12.IMPACT OF GOVERNMENT REGULATIONS
  • FIGURE 13.EVOLUTION OF HADOOP INDUSTRY
  • FIGURE 14.GLOBAL HADOOP MARKET REVENUE, BY COMPONENT, 2019-2027 ($BILLION)
  • FIGURE 15.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR HARDWARE, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 16.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR SOFTWARE, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR SERVICES, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 18.GLOBAL HADOOP MARKET REVENUE, BY DEPLOYMENT MODEL, 2019-2027 ($BILLION)
  • FIGURE 19.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR ON-PREMISE, BY COUNTRY, 2019 & 2027 (%)
  • FIGURE 20.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR CLOUD, BY COUNTRY, 2019 & 2027 (%)
  • FIGURE 21.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR HYBRID, BY COUNTRY, 2019 & 2027 (%)
  • FIGURE 22.GLOBAL HADOOP MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($BILLION)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2019 & 2027 (%)
  • FIGURE 24.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR SMALL & MEDIUM ENTERPRISES, BY COUNTRY, 2019 & 2027 (%)
  • FIGURE 25.GLOBAL HADOOP MARKET REVENUE, BY END USER, 2019-2027 ($BILLION)
  • FIGURE 26.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR MANUFACTURING, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 27.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR BFSI, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 28.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR RETAIL & CONSUMER GOODS, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 29.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR IT & TELECOMMUNICATION, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 30.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR HEALTHCARE, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 31.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR GOVERNMENT & DEFENSE, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 32.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR MEDIA & ENTERTAINMENT, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 33.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR ENERGY & UTILITY, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 34.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR TRADE & TRANSPORTATION, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 35.COMPARATIVE SHARE ANALYSIS FOR HADOOP MARKET FOR OTHERS, BY COUNTRY, 2019 & 2027(%)
  • FIGURE 36.U.S. HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 37.CANADA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 38.UK HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 39.GERMANY HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 40.FRANCE HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 41.RUSSIA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 42.REST OF EUROPE HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 43.CHINA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 44.INDIA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 45.JAPAN HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 46.SOUTH KOREA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 47.AUSTRALIA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 48.REST OF ASIA-PACIFIC HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 49.LATIN AMERICA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 50.MIDDLE EAST HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 51.AFRICA HADOOP MARKET REVENUE, 2019-2027 ($BILLION)
  • FIGURE 52.TOP WINNING STRATEGIES, BY YEAR, 2016-2019
  • FIGURE 53.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
  • FIGURE 54.TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
  • FIGURE 55.HADOOP MARKET: KEY PLAYER POSITIONING, 2019
  • FIGURE 56.COMPETITIVE DASHBOARD
  • FIGURE 57.COMPETITIVE DASHBOARD
  • FIGURE 58.COMPETITIVE HEATMAP
  • FIGURE 59.AMAZON.COM, INC.: NET SALES, 2016-2018 ($MILLION)
  • FIGURE 60.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 61.AMAZON WEB SERVICES, INC.: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 65.R&D EXPENDITURE, 2017-2019 ($MILLION)
  • FIGURE 66.CLOUDERA, INC.: REVENUE, 2017-2019 ($MILLION)
  • FIGURE 67.CLOUDERA, INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
  • FIGURE 68.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 69.DELL INC.: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 70.DELL INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 71.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 72.ALPHABET INC.: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 73.ALPHABET INC.: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 74.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 75.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 76.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 77.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 78.R&D EXPENDITURE, 2017-2019 ($MILLION)
  • FIGURE 79.TERADATA CORPORATION: REVENUE, 2017-2019 ($MILLION)
  • FIGURE 80.TERADATA CORPORATION: REVENUE SHARE BY REGION, 2018 (%)