San Francisco, California, September 28, 2017:“Hadoop Big Data Analytics Market – Global Industry Analysis, Size, Share, Trends, Analysis, Growth, and Forecast 2017 – 2025” is the latest research report added in the database of TMR Research which talks about the present competitive landscape of the global Hadoop big data analytics market. The research report also shed light on the micro as well as macro-economic pointers, mandates, and regulations that monitor the global market for Hadoop big data analysis. The study report also provides a comprehensive information on both quantitative and qualitative evaluation of the global market by assessing the information collected from important market players as well as professional working in the industry. The research report is the result of intensive primary as well secondary research activities. The reports makes use of personal interviews, surveys, and insights from industry experts to form an essence of the primary research activities and information gathered from the trade journals.
Hadoop can be referred as an open source platform that permits analytics of big data and storage and allows running of simple coding plans across a widespread cluster of computer. Big data is a large volume of information and data and can be structure and unstructured as well. As the volume of data is extremely huge, it cannot be stored and process by the help of traditional systems. Additionally, it also aids organizations and institutions for grasping the trend and supports in the process of decision making at the corporate level in real time. With the advent of the Hadoop solutions, data can be evaluated, extracted, and stored so as to meet the desired aims. It helps in modernizing the business models and maximize the revenue generated by the market vendors.
The global Hadoop big data analytics market is expected to be chiefly driven by the increasing demand for setting up the Hadoop big data analytics solutions in order to evaluate the exponentially growing structured as well as unstructured data so as to take meaningful insights from it. In addition to this, the increasing need for conversion of information by the Internet of Things (IoT) and big data by companies in order to take important decisions is also projected to significantly spur the overall growth of the global Hadoop big data analytics market. Convergence of big data and Internet of Things is another factor that is projected to fuel the development of the global market.
However, there are some factors that may negatively impact the growth of the global Hadoop big data analytics market over the coming years. The chief restraining factors for the growth of the global market are expected to be the dearth of the proper safety standards and the lack of an appropriate structure for supervising big data analytics. There is a dearth of skilled professionals who have the capacity to convert the machine language into functional solutions for analytics of advanced level and data warehousing. This is also expected to slow down the progress of the global Hadoop big data analytics market in the coming years of the forecast period.
In terms of geography, the global Hadoop big data analytics market can be segmented into key regions such as North America, Europe, Latin America, the Middle East and Africa, and Asia Pacific. Of these mentioned regions, the market in North America and Europe are projected to show the most promising opportunities for the players trading in the market in the coming years. The emerging economies in Asia Pacific are also expected to show lucrative opportunities for market growth in the near future.
Some of the key companies in the global Hadoop big data analytics market includes names such as IBM Corporation, Tableau Software Teradata Corporation, Amazon Web Services, Pentaho Corporation, and Microsoft Corporation among others.
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