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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

A00695
Pages: 314
May 2020 | 16273 Views
 
Author(s) : Sneha Korad and Rachita Rake
Tables: 153
Charts: 80
 

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Hadoop Market Statistics - 2027

The Hadoop market size was valued at $ 26.74 billion in 2019, and is projected to reach $340.35 billion by 2027, growing at a CAGR of 37.5% from 2020 to 2027. Hadoop is an open source software administered by Apache software foundation. It is a distributed processing technology that can be used in different sectors for big data analysis. It is much cost effective 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.  

Hadoop-Market-2020-2027

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Hadoop-based applications are used by organizations that require real-time analytics from video, email, machine generated data from a multitude of sensors and from external sources such as social media and the internet. Hadoop enables technical experts of organizations to perform several operations which include big data analytics, big data management, and big data storage in a cloud. The Hadoop as a Service (HaaS) platform enables organizations to use Hadoop technology in a highly cost-effective manner, along with ensuring minimal consumption of time.

Hadoop Market
By Component

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Services is projected as one of the most lucrative segments.

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Hadoop is mainly a software framework, which is used to manage data and storage for big data applications in clustered systems. It gives users the ability to collect, process, and analyze data. Despite Hadoop being the leader, not all organizations are capable of installing as well as maintaining in-house Hadoop environment. Users need not invest in or install additional infrastructure on premises when using the technology, as it is provided and managed by a third-party vendor. Customers using HaaS, do not need to invest in or install additional infrastructure on their premises. This helps them to concentrate on their core businesses. Hadoop tries to provide the same experience to users in the cloud. The adoption of Hadoop has increased among medium & large-scale organizations that do not have the infrastructure or ability to host Hadoop on premises.

Hadoop Market
By Deployment Model

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On-premise is projected as one of the most significant segments.

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North America dominated the global Hadoop market share in 2019 and is expected to retain its position in the next few years. The growth of the region is attributed to the presence of a key market players, such as Microsoft Corporation, IBM Corporation, Amazon web services, and others. Moreover, rise in adoption of big data technologies among organizations to enhance the consumer target marketing and risk management abilities is expected to boost Hadoop market growth.

Hadoop Market
By Organization Size

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Large Enterprises is projected as one of the most significant segments.

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The report focuses on the growth prospects, restraints, and Hadoop market analysis. The study provides Porter’s five forces analysis of the Hadoop 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.

Hadoop Market
By End User

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IT & Telecommunication is projected as one of the most significant segments.

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Segment review

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.

Hadoop Market
By End User

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IT & Telecommunication is projected as one of the most significant segments.

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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.

Top impacting factors

Increase in competition in the business environment, extremely low upfront costs compared to on-premise Hadoop, rise in adoption of Hadoop among small & medium enterprises (SMEs), and flexibility and agility for businesses provided by Hadoop services are expected to fuel the market growth. In addition, ongoing partnership and funding taking place in the Hadoop market and rise in popularity of e-commerce are expected to drive the growth of the market. However, low security for highly confidential data and lack of awareness about benefits of this technology are expected to hamper the growth of the market during the Hadoop market forecast period.

Increase in adoption of cloud in SME’s

Hadoop is currently becoming crucial for small & medium organizations due to the increase in amount of data inputs from various sources. Analysis of data such as customer feedbacks, social media data, customer information, buying trends, and others has become the need of the hour for SMEs to gain competitive advantage. This data analysis provides valuable market insights that can be utilized to unravel hidden trends and take actionable strategic business decisions.

Flexibility and agility for businesses provided by Hadoop

Hadoop service providers offer a variety of pricing options to the customers. With Amazon EMR, the user can pay an hourly rate for every instance hour used. For instance, the user can pay an hourly rate for every instance hour they use (for example, a 10-node cluster running for 10 hours costs the same as a 100-node cluster running for 1 hour). The hourly rate depends on the instance type used. Hourly prices range from $0.011/hour to $0.27/hour and are charged in addition to the EC2 costs. Thus, Hadoop services provides an opportunity to scale your needs and payment. The hourly rate applied depends on the type of instance based on criteria such as high CPU, high memory, high storage, and others. 

Key Benefits For Stakeholders

  • This study includes the Hadoop market trends, opportunity, analysis, and future estimations to determine the imminent investment pockets.

  • The report presents information related to key drivers, restraints, and opportunities of the Hadoop industry.

  • The Hadoop market size is quantitatively analyzed from 2019 to 2027 to highlight the financial competency of the industry.

  • Porter’s five forces analysis illustrates the potency of the buyers & suppliers in the Hadoop market.

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
 

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 (%)

 
 

Increase in the usage of big data and Hadoop in cloud computing due to rise in data and popularity of advanced analytics. Companies are depending on cloud technology to optimize large volumes of data from various sources. Cloud platforms are agile, scalable, and have high adaptability. These features make this platform a 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 the growth of the Hadoop market.

Hadoop implementation is very important in today’s rapidly changing market scenario with large amount of structured and unstructured data explosion. Enabling Big Data analytics is an essential aspect of its integration into business intelligence and data warehouse. Hadoop Distributed File System’s scalability helps to enable better and bigger practices in schema-free data staging and data archiving with machine data obtained from meters, robots, and sensors.

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. Increase in competition among key players is expected to lower the cost and encourage the development of technologically advanced products during the forecast period. Companies in this market are actively engaged in the R&D activities, with a view to develop and introduce effective systems that can cater to the requirements of the end-use industry.

The key players of the market are adopting different strategies to expand their footprints and business reach in the market, which is creating lucrative opportunities for 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 analytic applications powered by scale-out, multi-cloud, and multi-protocol file system technology. In addition, Teradata has announced new Vantage capabilities to simplify analytics ecosystems on their cloud deployments. As a part of the new offerings, Teradata launched a Hadoop Migration Program, which provides a collection of tools, processes, and services to help companies move away from Hadoop.
 

 

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