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Hadoop Big Data Market: COVID-19 Impact and Global Analysis Forecast to 2028

Published Date: May 2021

No. of Pages: 201

Status: Upcoming

Report Code: EMR100283

The large volume of data generated through all sectors is known as Big Data. The three main characteristics of Big Data are velocity, volume, and variety. Big Data is available in both structured and unstructured form and the volume is increasing at a significant rate. The data is achieved from various sources such as image, text, or any other format. Data which is obtained from social media websites, internet, and applications acts as a major contributor to big data. Hadoop is a technology which provides distributed process for analysis of big data. Hadoop market is growing at an exponential rate as Hadoop technology offers quick and cost effective solutions compared to customary data analysis methods such as RDBMS.

The key drivers for the global hadoop market growth is the increasing size of structured and unstructured data, rising demand for big data analytics and affordable data processing services delivered by hadoop technology. Necessity for analysis of huge amount of data belonging to various industries is augmenting the growth of hadoop big data analytics market globally. Various services such as hadoop training, consulting services, outsourcing services, integration and deployment services and middleware and support services have contributed a major share in the growth of hadoop big data analytics market.

The hadoop big data analytics market is segmented based on component, application and regions. On the basis of component, the market is segmented into service and solution . On the basis of application, the hadoop big data analytics Market is classified into merchandizing & SCM , risk & fraud analytics, IoT,customer analytics, offloading mainframe, security intelligence. The solution sector is anticipated to hold a major share in the market during the forecast period, due to the increasing demand for handing of huge data sets on environments consisting of distributed computing.

The market for hadoop big data analytics is bifurcated based on five regions namely Europe , North America, Asia-Pacific, Latin America and Middle East. North America is the major player in the hadoop big data analytics market. This is mainly attributed to the growing technological advancements and presence of major players in the region. Asia Pacific is anticipated to show high growth rate owing to the growing industrialization and outsourcing of work by the major players to emerging markets such as India and China.

Some of the major players operating in the global hadoop big data analytics market include Microsoft Corporation, Amazon Web Services, Cloudera, Inc., Cisco Systems, Datameer, Inc., Karmasphere, Inc., Hortonworks, Inc., IBM Corporation, MapR Technologies, Teradata Corporation, Pentaho Corporation, and MarkLogic. Major players operating in the global market are focused on some of the major market strategies such as partnerships, mergers, collaborations and acquisitions to hold their position competitive global market. Likewise, they are engaged on gaining hold on the local players to give support their product distribution and to develop their market reach in the global market.

The hadoop big data analytics market is segmented
By Component:
• Solution
• Service

By Application:
• Risk & fraud analytics
• Iot
• Merchandizing & SCM
• Customer analytics
• Offloading mainframe
• Security intelligence

By Region:
• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East

The Leading Key Players in Hadoop Big Data Market

Microsoft Corporation
Amazon Web Services
Cloudera Inc.
Cisco Systems
Datameer Inc.
Karmasphere Inc.
Hortonworks Inc.
IBM Corporation
MapR Technologies
Teradata Corporation
Pentaho Corporation