Press Resease

Hadoop Market by Type (Software, Hardware and Services) for BFSI, Government Sector, IT & ITES, Healthcare, Telecommunication, Retail and Others End-Uses: Global Industry Perspective, Comprehensive Analysis, Size, Share, Growth, Segment, Trends and Forecast, 2016 – 2022

Published Date: 08-Feb-2017 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-950 Status : Published

Global Hadoop market will hit USD 87.14 billion by 2022, growing at a CAGR of 50% between 2017 and 2022.

Description

Hadoop market report offers forecast and analysis for the market on a global and regional level. The study provides historic data of 2016 along with a forecast for 2017 to 2022 based revenue (USD Million). The study includes drivers and restraints for the Hadoop market along with the impact they have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in the Predictive Analytics market on a global level.

To understand the competitive landscape in the market, an analysis of Porter’s five forces model for the Hadoop market has also been incorporated. The study covers market attractiveness analysis, where application and product segments are analyzed on the basis of their market size, growth rate, and attractiveness.

The study provides a decisive view on the Hadoop market by segmenting the market based on type, region, and end user. All the segments have been assessed depending on current and future trends and the market is analyzed for period 2016 to 2022.This report analyzes current and future demand of Predictive Analytics for different regions including North America, Latin America, Europe, Asia-Pacific and the Middle East and Africa. This report segments market into prominent countries such as France, UK, U.S., Germany, China, Japan, India, and Brazil.

The report covers through competitive viewpoint including company profiles of the key participants operating in the global market. Key players profiled in the report include Amazon Web Services, Teradata Corporation, Cisco Systems, IBM Corporation, Cloudera, Inc., Datameer, Inc., Oracle Corporation, Hortonworks, Inc., VMware, OpenX, and amongst others.

This report segments the global Hadoop market as follows:

Hadoop Market: Type Segment Analysis

  • Software
  • Hardware  
  • Service

Hadoop Market: End-Use Segment Analysis

  • BFSI
  • Government Sector
  • IT & ITES
  • Healthcare
  • Telecommunication
  • Retails
  • Others

Hadoop Market: Regional Segment Analysis

  • North America
    • U.S.
  • Europe
    • UK
    • France
    • Germany
  • Asia Pacific
    • China
    • Japan
    • India
  • Latin America
    • Brazil
  • Middle East & Africa

Table Of Content

  • Chapter 1.Preface
    • 1.1. Report description and scope
    • 1.2. Research scope
    • 1.3. Research methodology
      • 1.3.1. Market research process
      • 1.3.2. Market research methodology
  • Chapter 2.Executive Summary
    • 2.1. Global hadoop market, 2016 - 2022, (USD Million)
    • 2.2. Hadoop: Market snapshot
  • Chapter 3.Hadoop Market – Industry Analysis
    • 3.1. Hadoop: Market dynamics
    • 3.2. Market Drivers
      • 3.2.1. Increasing demand for big data analytics
      • 3.2.2. Growing volume of structured and unstructured data
      • 3.2.3. Growing demand for effective and faster accessibility of data among various industries
    • 3.3. Restraints
      • 3.3.1. Distributed computing and security issues
    • 3.4. Opportunity
      • 3.4.1. Continuous development and huge investment for the Hadoop technologies
    • 3.5. Porter’s Five Forces Analysis
    • 3.6. Market Attractiveness Analysis
      • 3.6.1. Market attractiveness analysis by type segment
      • 3.6.2. Market attractiveness analysis by end-use segment
      • 3.6.3. Market attractiveness analysis by regional segment
  • Chapter 4.Global Hadoop Market - Competitive Landscape
    • 4.1. Company market share analysis, 2016 (Subject to data availability)
  • Chapter 5.Hadoop Market – Type Segment Analysis
    • 5.1. Global hadoop market share, by type, 2016 & 2022
    • 5.2. Global software hadoop market, 2016 – 2022 (USD Million)
    • 5.3. Global hardware hadoop market, 2016 – 2022 (USD Million)
    • 5.4. Global services hadoop market, 2016 – 2022 (USD Million)
  • Chapter 6.Global Hadoop Market - End-Use Segment Analysis
    • 6.1. Global hadoop market share, by end-use, 2016 & 2022
    • 6.2. Global hadoop market for BFSI, 2016 – 2022 (USD Million)
    • 6.3. Global hadoop market for government sector, 2016 – 2022 (USD Million)
    • 6.4. Global hadoop market for IT & ITES, 2016 – 2022 (USD Million)
    • 6.5. Global hadoop market for healthcare, 2016 - 2022(USD Million)
    • 6.6. Global hadoop market for telecommunication, 2016 - 2022(USD Million)
    • 6.7. Global hadoop market for retail, 2016 - 2022(USD Million)
    • 6.8. Global hadoop market for others end-use, 2016 - 2022(USD Million)
  • Chapter 7.Hadoop Market - Regional Analysis
    • 7.1. Global hadoop market: Regional overview
      • 7.1.1. Global hadoop market share, by region, 2016 and 2022
    • 7.2. North America
      • 7.2.1. North America hadoop market revenue, by type, 2016 - 2022(USD Million)
      • 7.2.2. North America hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.2.3. U.S.
        • 7.2.3.1. U.S. hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.2.3.2. U.S. hadoop market revenue, by end-use, 2016 - 2022(USD Million)
    • 7.3. Europe
      • 7.3.1. Europe hadoop market revenue, by type, 2016 - 2022(USD Million)
      • 7.3.2. Europe hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.3.3. UK
        • 7.3.3.1. UK hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.3.3.2. UK hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.3.4. France
        • 7.3.4.1. France hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.3.4.2. France hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.3.5. Germany
        • 7.3.5.1. Germany hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.3.5.2. Germany hadoop market revenue, by end-use, 2016 - 2022(USD Million)
    • 7.4. Asia Pacific
      • 7.4.1. Asia-Pacific hadoop market revenue, by type, 2016 - 2022(USD Million)
      • 7.4.2. Asia-Pacific hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.4.3. China
        • 7.4.3.1. China hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.4.3.2. China hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.4.4. Japan
        • 7.4.4.1. Japan hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.4.4.2. Japan hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.4.5. India
        • 7.4.5.1. India hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.4.5.2. India hadoop market revenue, by end-use, 2016 - 2022(USD Million)
    • 7.5. Latin America
      • 7.5.1. Latin America hadoop market revenue, by type, 2016 - 2022(USD Million)
      • 7.5.2. Latin America hadoop market revenue, by end-use, 2016 - 2022(USD Million)
      • 7.5.3. Brazil
        • 7.5.3.1. Brazil hadoop market revenue, by type, 2016 - 2022(USD Million)
        • 7.5.3.2. Brazil hadoop market revenue, by end-use, 2016 - 2022(USD Million)
    • 7.6. Middle East & Africa
      • 7.6.1. Middle East & Africa hadoop market revenue, by type, 2016 - 2022(USD Million)
      • 7.6.2. Middle East & Africa hadoop market revenue, by end-use, 2016 - 2022(USD Million)
  • Chapter 8.Company Profiles
    • 8.1. Amazon Web Services
      • 8.1.1. Overview
      • 8.1.2. Financials
      • 8.1.3. Type portfolio
      • 8.1.4. Business strategy
      • 8.1.5. Recent developments
    • 8.2. Teradata Corporation
      • 8.2.1. Overview
      • 8.2.2. Financials
      • 8.2.3. Type portfolio
      • 8.2.4. Business strategy
      • 8.2.5. Recent developments
    • 8.3. Cisco Systems
      • 8.3.1. Overview
      • 8.3.2. Financials
      • 8.3.3. Type portfolio
      • 8.3.4. Business strategy
      • 8.3.5. Recent developments
    • 8.4. Amcor Limited
      • 8.4.1. Overview
      • 8.4.2. Financials
      • 8.4.3. Type portfolio
      • 8.4.4. Business strategy
      • 8.4.5. Recent developments
    • 8.5. IBM Corporation
      • 8.5.1. Overview
      • 8.5.2. Financials
      • 8.5.3. Type portfolio
      • 8.5.4. Business strategy
      • 8.5.5. Recent developments
    • 8.6. Cloudera, Inc.
      • 8.6.1. Overview
      • 8.6.2. Financials
      • 8.6.3. Type portfolio
      • 8.6.4. Business strategy
      • 8.6.5. Recent developments
    • 8.7. Oracle Corporation
      • 8.7.1. Overview
      • 8.7.2. Financials
      • 8.7.3. Type portfolio
      • 8.7.4. Business strategy
      • 8.7.5. Recent developments
    • 8.8. Datameer, Inc.
      • 8.8.1. Overview
      • 8.8.2. Financials
      • 8.8.3. Type portfolio
      • 8.8.4. Business strategy
      • 8.8.5. Recent developments

Methodology

This report is based on in-depth qualitative and quantitative analyses of the global Hadoop market. Zion Research has collected and analyzed key data belong to the global Hadoop market using a variety of methods. Quantitative analysis has been done following various projection and sampling techniques.

The qualitative analysis involved primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes were validated through experts' opinions. The market dynamics have been determined after conducting a detailed study of the micro and macroeconomic indicators of the market.

Various parameters have been taken into account while estimating market size. The revenue generated by the leading industry participants in from the sales of Hadoop across the world has been calculated through primary and secondary research.

Zion Research employs the combination of secondary research followed by extensive primary research. Under secondary research, we refer to prominent paid as well as open access data sources including product literature, company annual reports, government publications, press releases, industry association’s magazines and other relevant sources for data collection. Other prominent secondary sources include STATISTA, trade journals, trade associations, statistical data from government websites, etc. 

For this study, Zion Research has conducted all-encompassing primary research with key industry participants to collect first had data. Moreover, in-depth interviews with key opinion leaders also assisted in the validation of findings from secondary research and to understand key trends in the Hadoop industry. Primary research makes up the major source of data collection and validation.   

Primary Research

We conduct primary interviews with industry participants and commentators on an ongoing basis to validate data and analysis. A typical research interview fulfills the following functions:

  • Provides firsthand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
  • Helps in validating and strengthening the secondary research findings
  • Further, develops the analysis team’s expertise and market understanding
  • Primary research involves e-mail interactions, telephonic interviews as well as face-to-face interviews for each market, category, segment, and sub-segment across geographies

Participants who typically participate in such a process include, but are not limited to:

  • Industry participants: CEOs, VPs, marketing/product managers, market intelligence managers and national sales managers
  • Purchasing managers, technical personnel, distributors and resellers
  • Outside experts: Investment bankers, valuation experts, and research analysts specializing in specific markets

Key opinion leaders specializing in different areas corresponding to different industry verticals

Secondary Research

Secondary research sources that are typically referred to include, but are not limited to:

  • Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
  • IDC and other relevant magazines
  • Internal and external proprietary databases, and relevant patent and regulatory databases
  • National government documents, statistical databases, and market reports

News articles, press releases, and webcasts specific to companies operating in the market

Following a comprehensive secondary and primary research and insights thus gathered, analysts at Zion Research have provided an in-depth analysis of various aspects of the Hadoop market.

Models

Where no hard data is available, we use models and estimates to produce comprehensive data sets. A rigorous methodology is adopted, wherein the available hard data is cross-referenced with the following data types to produce estimates:

  • Demographic data: Population split by segments
  • Macroeconomic indicators: GDP, PPP, Per Capita Income, etc.
  • Industry indicators: Expenditure, technology stage, and infrastructure, sector growth and facilities
  • Data is then cross-checked by an expert panel.

Free Analysis

Hadoop helps to turn the huge amount of business data generated on a daily basis into a competitive advantage. Hadoop is a software framework that provides framework to deal with big data. Hadoop helps businesses to store and process massive amounts of data. It basically handles the big data analytics for enterprises. It is fastest and efficient software to meet real-time analytics from data such as audio, video, email, machine-generated data from the internet.

Hadoop is useful for scalable storage platform as it can store and distribute the very large amount of data sets across hundreds of inexpensive servers which operate in parallel. Another benefit of Hadoop is cost effective storage solution for businesses. There was the problem with traditional relational database management systems that is extremely cost prohibitive to scale to such a degree in order to process such massive volumes of data. To reduce costs, many companies in the past would have had to down-sample data and classify it based on certain own assumptions as to which data was valuable. Lots of raw data have been deleted, as it would be too cost-prohibitive to keep. While this approach only may have worked in the short term, this meant that when business priorities changed, then complete raw data set was not available, because it was too expensive to store. Hadoop, solve this problem and is designed as a scale-out architecture that can affordably store all of a company's data for later use.

Global-Hadoop-Market

Increasing amount of data utilization and growing rapid volume for structured data and unstructured data across large industries a key driver of global hadoop market. Hadoop helps to analyze life threatening risk, identifies warning signs of security breaches, prevent hardware failure, and estimatewhen to sell certain products, find ideal prospects for business and gain insight from vast data.

Hadoopis utilized by many industries such as healthcare, banking & finance, manufacturing, media and entertainment, biotechnology, defense, IT,telecommunication, retail, food & beverage, government sector and others. This factor also anticipated to accelerate the demand for hadoop solution over the verticals across the globally. However, distributed computing and security issues may limit the utilization of hadoop software. Moreover, ongoing development and up gradation may open new opportunities for hadoop market.

The study provides a decisive view on the Hadoop Market and it is segmented on the basis of type, end user and regional.Some of the major participants operative in hadoop market includesTeradata Corporation,  Amazon Web Services, IBM Corporation Cisco Systems, Cloudera, Inc., Datameer, Inc., Hortonworks, Oracle Corporation, Inc., VMware, OpenX, and amongst others.

The study provides a decisive view on the hadoop market and it market is segmented on the basis of type, end user and regions. In type segment, services segment is dominating with maximum market share of the global hadoop market on account of growing demand of data analysis across various industries.  It is also further expected to continue its dominance in the market for the coming five years.

On the basis of geography market is segmented on the basis of North America, Europe, Asia Pacific Latin America and Middle East and Africa.North America  dominated hadoop market in 2016. It contributes around 48% share of the entire market and it is also predicated to continue this trend for the coming years. Asia Pacific is fastest growing region for hadoop market due to emerging IT and telecommunications industries and adoption of technology is rising at torrid pacein China and India. Europe is likely to witness significant growth in upcoming time.

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