Market Overview:
The global hadoop hardware market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth in the market can be attributed to the increasing demand for big data and analytics solutions across various industries. Additionally, the growing trend of cloud-based deployments is also contributing to the growth of this market. The global hadoop hardware market can be segmented on the basis of type, application, and region. On the basis of type, it can be divided into servers equipment, storage equipment, and network equipment. Servers are expected to account for a major share in this market owing to their ability to handle large volumes of data processing requirements. Storage equipment is also anticipated to witness significant growth during the forecast period as organizations are increasingly looking for ways to store and manage their big data efficiently.
Product Definition:
Hadoop hardware is the physical infrastructure used to host a Hadoop cluster. It is important because it provides the necessary resources for the cluster to function. The hardware includes servers, storage, and networking equipment.
Servers Equipment:
Hadoop is an open-source software framework that allows big data analysis. It uses a distributed network of hardware servers to store and analyze large volumes of information in the cloud. The basic components involved in Hadoop architecture are called “servers”, “networked storage devices”, and “application code”.
Storage Equipment:
Storage equipment is used to store data on physical media for a longer period of time. It can be used in various applications such as web-based or cloud computing. The primary function of storage equipment is to provide persistent and durable means of storing information for future use.
The key drivers that are expected to fuel the growth include increasing demand from big data analytics, social media, and video content management among others.
Application Insights:
The other application segment covers the areas such as media & entertainment, retail and others. The growth of this segment can be attributed to the increasing adoption of big data analytics in various industries such as media & entertainment, telecom and IT, retail etc. for discovering hidden patterns in large datasets.
The healthcare industry is one of the prominent users of hadoop platform due to its ability to process huge volumes of data at a reduced cost and within a reasonable time frame which enables real-time analysis for improving patient care. Furthermore, growing demand for cloud computing services has also propelled demand in this sector over recent years.
In addition to these applications hadoop is used across several industries including banking & finance (to analyze financial transactions), telecommunications (for network management)and others (for analyzing vast amounts of web traffic).
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of key players such as IBM Corporation; Hewlett Packard Enterprise, Inc.; and Cisco Systems, Inc. Moreover, increasing investments by governments for implementing big data solutions are expected to drive regional demand over the forecast period. For instance, in 2015-2016 financial year U.S Department of Health & Human Services (HHS) invested USD Galvin Administration Building contract worth USD Galvin was a Big Data project aimed at creating a single online portal for access to healthcare information across all public agencies that comprise HHS’s Federal Healthcare Information Centers (FHIC).
Asia Pacific region is projected to witness lucrative growth during the forecast period owing to growing IT infrastructure spending by companies and expanding application areas such as retailing and banking & finance sectors.
Growth Factors:
- Increasing demand for big data analytics and its related services is driving the adoption of Hadoop hardware.
- Rapid growth in internet of things (IoT) is generating huge volumes of data that needs to be processed and analyzed, thereby fueling the demand for Hadoop hardware.
- Proliferation of cloud-based services is making it easier for businesses to adopt Hadoop infrastructure, which in turn is propelling the growth of the market.
- Growing popularity of open source software is encouraging organizations to deploy Hadoop clusters on their own premises, thereby boosting the sales of Hadoop hardware products and services.
Scope Of The Report
Report Attributes
Report Details
Report Title
Hadoop Hardware Market Research Report
By Type
Servers Equipment, Storage Equipment, Network Equipment
By Application
Healthcare, Banking & Finance, Telecommunication, Other
By Companies
Cloudera, Hortonworks, MapR Technologies, Cisco, Datameer, IBM, Microsoft, Oracle, Pivotal, Teradata, Cloudera
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
182
Number of Tables & Figures
128
Customization Available
Yes, the report can be customized as per your need.
Global Hadoop Hardware Market Report Segments:
The global Hadoop Hardware market is segmented on the basis of:
Types
Servers Equipment, Storage Equipment, Network Equipment
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Healthcare, Banking & Finance, Telecommunication, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Cloudera
- Hortonworks
- MapR Technologies
- Cisco
- Datameer
- IBM
- Microsoft
- Oracle
- Pivotal
- Teradata
- Cloudera
Highlights of The Hadoop Hardware Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Servers Equipment
- Storage Equipment
- Network Equipment
- By Application:
- Healthcare
- Banking & Finance
- Telecommunication
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Hadoop Hardware Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Hadoop is a software framework for distributed computing, designed to scale up to very large data sets. It consists of a collection of programs that work together to manage and analyze large data sets using MapReduce.
Some of the major players in the hadoop hardware market are Cloudera, Hortonworks, MapR Technologies, Cisco, Datameer, IBM, Microsoft, Oracle, Pivotal, Teradata, Cloudera.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Hadoop Hardware Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Hadoop Hardware Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Hadoop Hardware Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Hadoop Hardware Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Hadoop Hardware Market Size & Forecast, 2020-2028 4.5.1 Hadoop Hardware Market Size and Y-o-Y Growth 4.5.2 Hadoop Hardware Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Servers Equipment
5.2.2 Storage Equipment
5.2.3 Network Equipment
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Healthcare
6.2.2 Banking & Finance
6.2.3 Telecommunication
6.2.4 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Hadoop Hardware Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Hadoop Hardware Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Servers Equipment
9.6.2 Storage Equipment
9.6.3 Network Equipment
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Healthcare
9.10.2 Banking & Finance
9.10.3 Telecommunication
9.10.4 Other
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Servers Equipment
10.6.2 Storage Equipment
10.6.3 Network Equipment
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Healthcare
10.10.2 Banking & Finance
10.10.3 Telecommunication
10.10.4 Other
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Servers Equipment
11.6.2 Storage Equipment
11.6.3 Network Equipment
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Healthcare
11.10.2 Banking & Finance
11.10.3 Telecommunication
11.10.4 Other
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Servers Equipment
12.6.2 Storage Equipment
12.6.3 Network Equipment
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Healthcare
12.10.2 Banking & Finance
12.10.3 Telecommunication
12.10.4 Other
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Servers Equipment
13.6.2 Storage Equipment
13.6.3 Network Equipment
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Healthcare
13.10.2 Banking & Finance
13.10.3 Telecommunication
13.10.4 Other
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Hadoop Hardware Market: Competitive Dashboard
14.2 Global Hadoop Hardware Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cloudera
14.3.2 Hortonworks
14.3.3 MapR Technologies
14.3.4 Cisco
14.3.5 Datameer
14.3.6 IBM
14.3.7 Microsoft
14.3.8 Oracle
14.3.9 Pivotal
14.3.10 Teradata
14.3.11 Cloudera