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Published Date: 2013-01-21Number of Pages: 67

Big Data Market (Product Requirements - Existing DBMS Market, Hadoop - Full Fledged Market, Big-Data-As-A-Service, Relational Database Management System (RDBMS), Comparison of SQL Databases and Hadoop, and Limitations of Big Data; Components - Software and Services, Hardware, and Storage; Application - Financial Services, Manufacturing, Healthcare, Telecommunication, Government, Retail, and Media and Entertainment) - Global Scenario, Trends, Industry Analysis, Size, Share And Forecast 2012 - 2018

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.
 
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.
 

 
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) 

The global big data market has evolved over the years with efficient technologies that offer accurate insights imperative to innovation to its users. The advantages offered by big data such as valuable inferences of the changing market dynamics have been its unique selling point over the past few years. Deployment of big data is expected to help companies formulate better business strategies and aid their decision-making processes. Over the years, big data has proved to be a pivotal means to achieving product innovation and improving after-sales services. 

The research report on the global big data market by Transparency Market Research offers a thorough outlook of the drivers and restraints influencing the trajectory of the overall market. The segments of the global market have been studied using a SWOT analysis whereas the competitive landscape has been studied through a Porter’s five forces analysis. The research report puts forth a fair assessment of the future of the global bid data market along with its impact on the overall economy. 

Big Data Market: Trends and Opportunities

The mammoth amounts of data being used and generated across all industrial verticals is, undeniably, the key growth driver for the global big data market. The billions of smartphones and other devices are responsible for the gargantuan data being stored in form of texts, numbers, images, videos, graphs, audios, and other forms of multi-media formats. Analysts predict that as the sales of such devices remain the rise, the amount of data will also continue to reach newer heights. End users are using efficient big data technologies such as Hadoop and SQL to organize this information and give it a logical meaning to understand businesses, markets, consumer sentiments, and the global economics in the larger scheme of things. 

Several companies across the globe are employing big data technologies to gain a competitive advantage over others in the long run. For instance, a meaningful analysis of the healthcare industry can be ascertained by these analytics to understand where a specific country is headed. From tracking diseases to prevent epidemics to bringing down healthcare costs, deployment of big data in the healthcare sector can deliver unmatched results. Thus, the emergence of better technologies in this market is anticipated to bring in an improved efficiency and cost advantages to the users. 

Big Data Market: Region-wise Outlook

Geographically, the global big data market has been segmented into Asia Pacific, Europe, North America, and the Rest of the World. Research indicated that the big data market held a dominant share in North America, accounting for nearly 54.5% of the overall market in 2012. The growing number of Internet users in North America and the unstoppable Internet penetration has been driving the big data market across the region. Several end users such as financial institutions, the retail market, healthcare sector, the media industry, and the governments are turning their attention towards big data to understand the vast amount of data generated by Internet users in a meaningful manner. Analytics services is a key area of big data market where vendors have mushroomed. 

Developing countries of Asia Pacific such as Japan, China, and India are projected to offer remarkable opportunities in the market. The thriving businesses in these countries will encourage the constructive usage of big data in the coming years. End users are expected to opt for big data services and software both to develop better products and services by understanding consumer behaviors along with their spending patterns. 

Key Players Mentioned in the Report are:

Some of the key players operating in the global big data market are Teradata Corporation, Opera Solutions, Mu Sigma, IBM, Cloudera, Oracle Corporation, Splunk Inc., Hewlett-Packard Co. (HP), and Calpont Corporation. 

Market Segmentation of the Global Big Data Market is as follows: 

Big Data Market By Product Requirements

  • Existing DBMS Market
  • Hadoop – Full Fledged Market
  • Big-Data-As-A-Service
  • Relational Database Management System (RDBMS)
  • Comparison of SQL Databases and Hadoop
  • Limitations of Big Data 

Big Data Market by Components

  • Software and Services Market
  • Hardware Market
  • Storage Market 

Big Data Market By Application

  • Financial Services Market
  • Manufacturing Market
  • Healthcare Market
  • Telecommunication Market
  • Government Market
  • Retail Market
  • Media and Entertainment Market
  • Others Market 

The regional analysis covers:

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World 

This report gives you access to decisive data such as: 

  • Market growth drivers
  • Factors limiting market growth
  • Current market trends
  • Market structure
  • Market projections for the coming years 

Key highlights of this report: 

  • Overview of key market forces propelling and restraining market growth
  • Up-to-date analyses of market trends and technological improvements
  • Pin-point analyses of market competition dynamics to offer you a competitive edge
  • An analysis of strategies of major competitors
  • An array of graphics and SWOT analysis of major industry segments
  • Detailed analyses of industry trends
  • A well-defined technological growth map with an impact-analysis
  • Offers a clear understanding of the competitive landscape and key product segments


 
 
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