Hadoop and Big Data Analytics Market, By Solution (Packaged Software, Management Software, Application Software, and Performance Monitoring Software), By Service (Consulting & Development Services, Training & Support Services, and Admin & Managed Services), By End User (Banking, Financial services and Insurance (BFSI), Government & Defense, Healthcare & Life Sciences, Retail & Consumer Goods, Media & Entertainment, Energy & Utility, Transportation & SCM, IT & Telecommunication, and Others (Academia & Research, Manufacturing), and By Region - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2017-2025

Hadoop is a Java-based programming structure that is used for processing and storage of large data sets in a distributed computing environment. It is a distributed processing technology that provides expansive data storage facility and handles thousands of terabytes of data and rapid data transfer among nodes. Hadoop is extensively used in big data analytics, including scientific analytics, business and sales development, and enormous volumes of data processing.

Among end users, the banking, finance and insurance segment is expected to lead the hadoop and big data analytics market during the forecast period (2017 – 2025). The banking and finance sector has witnessed rapid growth, primarily due to increasing adoption of information technology solutions for improved banking services. The proliferation of online transactions, is increasing adoption towards technologies such as National Electronic Fund Transfer (NEFT), Real-time Gross Settlement Systems (RTGS), Electronic Clearing Service (ECS) as well as mobile transactions. Transactions through such technology, however, are hacking targets for cybercriminals. Furthermore, websites and mobile applications that accept online purchases and transactions, which store details regarding credit cards, debit cards, and bank account are also prominent hacking targets. According to the Reserve Bank of India (RBI), during 2015-2016, 16,468 cyber terrorism associated with ATM, debit card, credit card, and net banking frauds were reported. Whereas, 13,083 frauds were reported in 2014-2015 and 9,500 in 2013-14. This indicates the increasing number of cyber frauds over the years, which in turn is expected to augment the demand for Hadoop and Big Data Analytics solutions in the banking and finance industry.

However, non-uniformity of data sets is expected to restraint the growth opportunity of global digital marketing software market. Additionally lack of proper Hadoop platform due to shortage of skilled workforces that can transform machine language to operational solutions for data warehousing, is another major restraining factor that is expected to reduce growth rate of the market.

Hadoop and Big Data Analytics Market Taxonomy:

On the basis of solution, the hadoop and big data analytics market is segmented into:

  • Packaged Software
  • Management Software
  • Application Software
  • Performance Monitoring Software

On the basis of service, the hadoop and big data analytics market is segmented into:

  • Consulting & Development Services
  • Training & Support Services
  • Admin & Managed Services

On the basis of end-user industry, the hadoop and big data analytics market is segmented into:

  • Banking, Financial services and Insurance (BFSI)
  • Government & Defense
  • Healthcare & Life Sciences
  • Retail & Consumer Goods
  • Media & Entertainment
  • Energy & Utility
  • Transportation & SCM
  • IT & Telecommunication
  • Others (Academic & Research, Manufacturing )

North America holds a dominant position in the market and is expected to maintain its dominance over the forecast period. Dominance of this region is attributed to the rampant development of IT infrastructure and high presence of major IT companies such as Google, Microsoft, IBM, and Oracle in the region.

Asia Pacific is projected to observe rapid growth over the forecast period, owing to rapid industrialization and urbanization. For instance, Government of India has launched the smart city mission for city renovation and retrofitting program to develop 100 cities across the country to make them more resident friendly and highly maintainable. Such initiatives are expected to create opportunities for growth of the market over the forecast period.

Key market players operating in the hadoop and big data analytics market include Microsoft Corporation, Amazon Web Services (AWS), IBM Corporation, Teradata Corporation, Tableau Software, Inc., Cloudera, Inc., Pentaho Corporation, Marklogic Corporation, SAP SE, and Pivotal Software, Inc.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


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Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.
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Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization:

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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