Market Research Reports

Big Data Market - Global Scenario, Trends, Industry Analysis, Size, Share And Forecast 2012 - 2018

67pages
Published Date: 2013-01-21
 

Description





The humungous amount of data generated across various sectors is termed as big data. The exponential growth in the quantum of big data is leading to the development of advanced technology and tools that can manage and analyze this data. Hadoop technology is used by Yahoo, Facebook, LinkedIn and eBay among others to manage and analyze the big data. This study will provide complete insights of the Big Data market and explain about the current trends and factors responsible for driving market growth. The analysis will prove helpful for emerging players to know about the growth strategies implemented by existing players and help existing players in strategic planning. 

The report includes segmentation of the big data market by components, by applications and by geography. The different components included are software and services, hardware and storage. Software and services segment dominates the components market whereas storage segment will be the fastest growing segment for the next 5 years owing to the perpetual growth in the data generated. We have covered eight applications namely financial services, manufacturing, healthcare, telecommunication, government, retail and media & entertainment and others in the application segment. Financial Services, healthcare and the government sector are the top three contributors of the big data market and together held more than 55% of the big data market in 2012. Media and Entertainment and the healthcare sectors will grow at high CAGR of nearly 42% from 2012 to 2018. The growth in data in the form of video, images, and games is driving the media and entertainment segment. 

The multiple and varied stakeholders including the medical and pharmaceutical product industries, providers and patients, all generate pools of data. A major portion of the clinical data is not yet digitized and so big data tools are helping these stakeholders to use the pool of data effectively. The cross-sectional analysis based on geographic segments has also been covered in this report and the major four geographies covered are North America, Europe, Asia Pacific and RoW. North America is the largest market and held nearly 55% of the total big data market in 2012. This region will continue to dominate the big data market in future but Asia Pacific region will prove to be the fastest growing market and will grow at a CAGR of 42.6% from 2012 to 2018. The shortage of talented personnel to analyze the big data will limit the growth of this market in North America.

The key drivers, restraints and opportunities are a part of this study along with the impact analysis of the drivers and restraints, which would serve as a strategic tool for players of the market to take corporate decisions. Porter’s five forces analysis covered will further help the reader to understand the intensity of competition among the different players in the market. The market share analysis of the players of this market will give a holistic picture of the intensity of competition prevalent in the market. In addition to this; the research also includes an overview of the big data market by product requirements consisting of existing Database Management Systems (DBMS), Relational Database Management Systems (RDBMS), Structured Query Language (SQL) and Hadoop. The comparison between SQL databases and Hadoop would provide a better idea about the benefits of Hadoop over SQL.

We have used secondary research for deriving our market numbers for each segment of the research report and further validated our analysis with C-level executives of major companies operating in the big data market as well as the users of big data tools through means of primary research to finally come up with our results.. 

Table of Contents




Table of Contents

Chapter 1 Preface
1.1 Report Description
1.2 Research Methodology

Chapter 2 Executive Summary

Chapter 3 Big Data Market Analysis
3.1 Big Data Market Overview
3.2 Market Dynamics
      3.2.1 Drivers
              3.2.1.1 Potential For New Insights that Drive Competitive Advantage
              3.2.1.2 Exponential Growth in Different Formats of Data Collected and Stored
              3.2.1.3 Cost Advantages and Higher Efficiency of Commodity Hardware & Open Source Software
      3.2.2 Restraints
              3.2.2.1 Shortage of Talent to Capture the Potential from Big Data
              3.2.2.2 Inability to Collect and Manage the Data Effectively and Efficiently
      3.2.3 Opportunities
              3.2.3.1 Provides Opportunity to Create Innovative Business Models
              3.2.3.2 Developing Regions like Asia Pacific Offers Better Opportunity 
3.3 Market Trends and Future Outlook  
3.4 Market Attractiveness Analysis  
3.5 Key Growth Factors 
3.6 Porter’s Five Force Analysis
      3.6.1 Bargaining Power of Suppliers
      3.6.2 Bargaining Power of Buyers 
      3.6.3 Threat of Substitutes
      3.6.4 Threat of New Entrants 
      3.6.5 Rivalry among Competitors  

Chapter 4 Big Data Market By Product Requirements
      4.1.1 Existing DBMS Market
      4.1.2 Hadoop – Full Fledged Market
      4.1.3 Big-Data-As-A-Service
      4.1.4 Relational Database Management System (RDBMS)
      4.1.5 Comparison of SQL Databases and Hadoop
      4.1.6 Limitations of Big Data

Chapter 5 Big Data Market by Components
5.1 Software and Services Market Size and Forecast, 2012 – 2018
      5.1.1 Market Trend
      5.1.2 Market Size and Forecast
5.2 Hardware Market Size and Forecast, 2012 – 2018
      5.2.1 Market Trend
      5.2.2 Market Size and Forecast
5.3 Storage Market Size and Forecast, 2012 – 2018
      5.3.1 Market Trend
      5.3.2 Market Size and Forecast

Chapter 6 Big Data Market By Application
6.1 Financial Services Market Size and Forecast, 2012 – 2018
      6.1.1 Market Trend
      6.1.2 Market Size and Forecast
6.2 Manufacturing Market Size And Forecast, 2012 – 2018
      6.2.1 Market Trend
      6.2.2 Market Size and Forecast
6.3 Healthcare Market Size and Forecast, 2012 - 2018
      6.3.1 Market Trend
      6.3.2 Market Size and Forecast
6.4 Telecommunication Market Size and Forecast, 2012 – 2018
      6.4.1 Market Trend
      6.4.2 Market Size and Forecast
6.5 Government Market Size and Forecast, 2012 – 2018
      6.5.1 Market Trend
      6.5.2 Market Size and Forecast
6.6 Retail Market Size And Forecast, 2012 - 2018
      6.6.1 Market Trend
      6.6.2 Market Size and Forecast
6.7 Media and Entertainment Market Size and Forecast, 2012 - 2018
      6.7.1 Market Trend
      6.7.2 Market Size and Forecast
6.8 Others Market Size and Forecast, 2012 – 2018
      6.8.1 Market Trend
      6.8.2 Market Size and Forecast

Chapter 7 Big Data Market By Geography
7.1 North America Market 
      7.1.1 Market Trend
      7.1.2 Market Size and Forecast, 2012 – 2018
7.2 Europe Market 
      7.2.1 Market Trend
      7.2.2 Market Size and Forecast, 2012 – 2018
7.3 Asia Pacific Market 
      7.3.1 Market Trend
      7.3.2 Market Size and Forecast, 2012 – 2018
7.4 Row Market 
      7.4.1 Market Trend
      7.4.2 Market Size and Forecast, 2012 – 2018

Chapter 8 Competitive Landscape
8.1 Market Share by Key Players

Chapter 9 Company Profiles
9.1 Hewlett-Packard Co. (HP)
      9.1.1 Company Overview
      9.1.2 Business Overview
      9.1.3 Financial Overview
      9.1.4 Recent Developments
9.2 Teradata Corporation
      9.2.1 Company Overview
      9.2.2 Financial Overview
      9.2.3 Business Overview
      9.2.4 Recent Development
9.3 Opera Solutions
      9.3.1 Company Overview
      9.3.2 Business Overview
      9.3.3 Financial Overview
      9.3.4 Recent Developments
9.4 Mu Sigma
      9.4.1 Company Overview
      9.4.2 Business Overview
      9.4.3 Financial Overview
      9.4.4 Recent Developments
9.5 Splunk Inc.
      9.5.1 Company Overview
      9.5.2 Business Overview
      9.5.3 Financial Overview
      9.5.4 Recent Developments
9.6 Cloudera
      9.6.1 Company Overview
      9.6.2 Business Overview
      9.6.3 Financial Overview
      9.6.4 Recent Developments
9.7 EMC
      9.7.1 Company Overview
      9.7.2 Business Overview
      9.7.3 Financial Overview
      9.7.4 Recent Developments
9.8 IBM
      9.8.1 Company Overview
      9.8.2 Financial Overview
      9.8.3 Business Overview
      9.8.4 Recent Developments
9.9 Calpont Corporation
      9.9.1 Company Overview
      9.9.2 Business Overview
      9.9.3 Financial Overview
      9.9.4 Recent Developments
9.10 Oracle Corporation
      9.10.1 Company Overview
      9.10.2 Business Overview
      9.10.3 Financial Overview
      9.10.4 Recent Developments

LIST OF FIGURES

FIG. 1 PORTER’S FIVE FORCES ANALYSIS FOR BIG DATA  MARKET
FIG. 2 BIG-DATA-AS-A-SERVICE
FIG. 3 GLOBAL BIG DATA SOFTWARE AND SERVICES MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 4 GLOBAL BIG DATA HARDWARE MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 5 GLOBAL BIG DATA STORAGE MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 6 GLOBAL BIG DATA IN FINANCIAL SERVICES, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 7 GLOBAL BIG DATA IN MANUFACTURING, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 8 GLOBAL BIG DATA IN HEALTHCARE, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 9 GLOBAL BIG DATA IN TELECOMMUNICATION, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 10 GLOBAL BIG DATA IN GOVERNMENT, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 11 GLOBAL BIG DATA IN RETAIL, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 12 GLOBAL BIG DATA IN MEDIA AND ENTERTAINMENT, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 13 GLOBAL BIG DATA IN OTHERS, MARKET SIZE AND FORECAST, 2011 – 2018 (USD MILLION) 
FIG. 14 NORTH AMERICA BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION) 
FIG. 15 EUROPE BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION) 
FIG. 16 ASIA PACIFIC BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION) 
FIG. 17 ROW BIG DATA MARKET SIZE AND FORECAST, BY GEOGRAPHY, 2011 – 2018 (USD MILLION) 
FIG. 18 BIG DATA MARKET SHARE BY KEY PLAYERS, 2012 (%) 
FIG. 19 HP ANNUAL REVENUE (USD MILLION), 2009 – 2011 
FIG. 20 TERADATA ANNUAL REVENUE (USD MILLION), 2009 – 2011 
FIG. 21 SPLUNK INC. REVENUE (USD MILLION), NINE MONTHS ENDED OCTOBER 2011 AND 2012 
FIG. 22 EMC CORPORATION ANNUAL REVENUE (USD BILLION), 2009 – 2011 
FIG. 23 IBM ANNUAL REVENUE (USD MILLION), 2009 – 2011 
FIG. 24 ORACLE CORPORATION ANNUAL REVENUE (USD MILLION), 2010 – 2012 

LIST OF TABLES

TABLE 1 DRIVERS OF GLOBAL BIG DATA  MARKET: IMPACT ANALYSIS 
TABLE 2 RESTRAINTS FOR BIG DATA MARKET: IMPACT ANALYSIS 
TABLE 3 GLOBAL BIG DATA MARKET BY COMPONENTS, 2011-2018, (USD MILLION) 

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Free Market Analysis




Potential for new insights that drive competitive advantage, cost advantage and rapid growth in the formats of data collected and stored are some of the factors likely to fuel the growth of the big data market, whereas shortage of analytical and managerial talent and collection and storage issues are some of the factors restraining the growth of the big data market. 

Big data supports and helps companies in many ways as it enables them to create new products as well as services by providing them huge amount of data that can be used to take strategic decisions. Big data helps manufacturers to discover a new business model for designing future strategies on the basis of the feedback received from the customer. It will also help the manufacturers to improve their after-sale services and launch better products in the market. 

Hadoop is the most well known technology used for Big Data as it offers several benefits in handling the big data. It is a new technology and is used by Yahoo, Facebook, LinkedIn and eBay. Earlier, SQL (structured query language) and DBMS have been the most popular tools for data management Hadoop is more efficient than SQL because SQL is targeted towards structured data, whereas Hadoop can manage even unstructured data, like text, images and so on. Thus, Hadoop offers a more general paradigm than SQL and this is the reason for its gaining popularity in the big data market. 

Today, big data is a universal phenomenon; but it has huge potential in developing regions like Asia Pacific. Currently, Asia is the leading region for the generation of personal location data because there are large numbers of mobile phone users present here. Personal location data is the data that accurately defines where a person or device is present in the real time. China leads in the use of mobile phones across the globe. India also has a large number of mobile phone users and thus the Asia Pacific region has many mobile users, providing better opportunity in the big data market.

global-big-data-market-estimates-and-forecast-%202012-2018
Big Data is a collection of large data sets and is so complex that it becomes complicated to process using traditional methods of database management or on-hand database management tools. Data sets are growing rapidly as huge amount of data is being gathered from different mobile devices, wireless networks, aerial sensory technologies and many more. The challenges associated with big data usage are storage, capture, sharing, search, analysis and so on. 

Scientists encounter limitations in many areas like genomics, meteorology, connectomics, environmental and biological research, complex physics simulations and others, due to the presence of large sets of data. Although new technologies like Hadoop have emerged to manage data sets efficiently, even this new technology lacks in efficiency to some extent. The effect of the limitations of big data can be seen in application areas like finance, business informatics and internet search.

Among the different components, software and services accounts for the largest segment owing to the increasing demand of new big data functionality and services. Storage, the third largest in terms of revenue has the highest growing CAGR, i.e., 45.3% from 2012 to 2018. Storage will be the major issue in the forecasted period due to the huge amount of data being generated every second and this data will increase at a rapid pace even in the forecasted period.

 

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