HADOOP BIG DATA ANALYTICS MARKET TO REACH USD 193.6 BILLION BY 2027 | CAGR 38.6% – FORENCIS RESEARCH

Global Hadoop Big Data Analytics Market: Key Highlights

• According to the new market research report “Hadoop Big Data Analytics Market, by Component (Software, Services), by Application (Customer Analytics, Security Intelligence, Risk & Fraud Analytics, Internet of Things (IoT), Supply Chain Analytics, Others), by End-Use Industry (BFSI, IT & Telecommunication, Manufacturing, Healthcare, Government, and Others), by Region (Asia Pacific, Europe, Middle East & Africa, South America, North America) – Global Forecast (2020 to 2027)”, the global Hadoop Big Data Analytics market is estimated to reach USD 193.6 Billion by 2027 at a CAGR of around 38.6% during the review period.
• To increase valuable business perceptions and make good decisions, companies have to regularly manage growing volumes of structured, semi-structured and unstructured data. Traditional computing systems are not designed to handle such large datasets. Hence organization use Hadoop big data analytics.
• Hadoop is an open source framework that allows big data storage & analytics and uses simple programming models across distributed computer clusters.

Global Hadoop Big Data Analytics Market: Key Market Dynamics

• Rising adoption of Internet of Things (IoT) and increasing need for big data analytics are expected to drive the market d during the forecast period.
• However, limited functionality and limited key industry experts will hinder the growth of the market during next five years.
• Data breach, data theft, and security concerns are expected to become a challenge for Hadoop big data analytics market during growth period.

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Global Hadoop Big Data Analytics Market: Regional Overview

• Asia-Pacific

 Asia-Pacific region is expected to grow at faster rate during the forecast period. China, India, Japan, and South Korea are expected to hold largest market share in Asia-Pacific Hadoop big data analytics market. Rapid industrialization and urbanization will drive the market during growth period. Moreover, government initiatives such as smart city development will create more opportunities in Hadoop big data analytics market in Asia-Pacific during forecast period.    

• North America

North America is expected to hold largest market share during forecast period. Countries such as the US and Canada will have expected to drive the Hadoop market in North America. Moreover, the countries in North America allows faster adoption of cutting-edge technologies and presence of impressive cloud infrastructure will drive the Hadoop market in this region. Presence of key players such as Microsoft and IBM Corporation are fueling the growth of the market in this region.

Global Hadoop Big Data Analytics Market: Key Players Overview

• Amazon Web Services (AWS):

Amazon Web Services is the broadly adopted cloud platform which offers 175+ fully featured services from data centers. Company provides cloud services to infrastructure technologies such as storage and databases to emerging technologies such as artificial intelligence and machine learning. Apache Hadoop is an open source software project that can be used to efficiently process large datasets. There are many applications and execution engines in Hadoop ecosystem which engages in the provision of variety of tools for managing analytics workload. Amazon EMR makes it easy to create and manage fully configured, elastic clusters of Amazon EC2 instances running Hadoop and other applications in the Hadoop ecosystem.

• IBM Corporation:

IBM is a leading cloud platform and cognitive solutions company with the global presence in 170 countries. The company work in different segments such as cloud, IT infrastructure, security, services research, and Watson. IBM provides an autonomous management to addresses the scale, variability and rate of change in edge environments. IBM Hadoop are based on Hortonworks platform.  IBM Corporation partnered with Cloudera to develop joint go-to-market programs designed to bring advanced data and AI solutions to more organizations across Apache Hadoop ecosystem. This agreement builds on relationship between IBM and Hortonworks, which merged with Cloudera and created integrated solutions for data science and data management. The new agreement builds on these integrated solutions and extends them to include the Cloudera platform.    

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