Hadoop Big Data Analytics Market
Data has become an integral part of daily lives. Organizations are it big or small have opened themselves to the significance of extensive data and the amount of impact it brings to the organizations. The integration of digital data and its implementation through analytics has been fetching significant traction among various brands and businesses around the world. As technology continues to become more complex and integrates with other technology, analytics will continue to evolve and would require special expertise for niche job roles and responsibilities. With huge amounts of data floating around, Big data analytics has become the frontiers of IT and has become crucial in improving business, decision making and providing biggest edge over the competitors. One such tool comprises of Hadoop Big Data Analytics. Hadoop is primarily an open-source software stack that runs on cluster of machines. It provides distributed storage as well as distributed processing services for very large data sets. It is an Apache project that was released under Apache Open Source License 2.0 which is commercially friendly. Hadoop was originally developed as an open source by Yahoo. Currently, Hadoop is developed as an Apache Software Foundation project and has numerous contributors from Cloudera, Horton Works, Facebook, etc. Hadoop had its start in a Web company. It was initially adopted by social media companies owing to big data problems being faced by the companies and Hadoop offered a solution. Now, Hadoop has made inroads into enterprises.
To elaborate, the respective technical offering has made the processing of Big data useful. It is a cast assortment of open source libraries that makes the analysis of huge data sets easy. To add on, data sets can be inclusive of a high volume of information that can be gathered from different mediums. Hence, the adoption of Hadoop has reduced significant dependency on hardware and has also supported the data scientists to assess the data by generating useful insights that can help the businesses inclusive of identifying the prime reason for failures with just software.
Being best at its framework, comprehensive and cost-efficient, Hadoop has become a prominent name in the world of Big Data. Hence, it is expected that fondness for Hadoop would increase with time and would turn out to be fruitful to build a career in Big data industry. Hadoop showcases excellent job opportunities and portrays extreme demand on account of being cutting edge Big Data trend. It displays higher packages by the companies in the field of big data and demand is also expected to amplify. Chances to enter wide range of industry domains with Hadoop being used in various industry verticals are also anticipated to increase in near future. For instance, it is estimated that in 2019-2020, the forecast of population with analytical skills would reach more than 3 million indicating that the scope of data scientist and Hadoop professional’s scientist is going to expand in the years to come giving better opportunities to candidates aspiring to be a data scientist. Moreover, increasing investments and companies spending heavily on R&D activities for the development of integrated solutions that purposes to provide superior advantages and growing size of unstructured data has tremendously necessitated the adoption of advanced data analytics solutions and Hadoop being the one. However, distributed computing and privacy and security concerns in Hadoop platform act as major hindering factors for the growth of the Hadoop big data analytics market.
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Insights Presented in the Report
- Based on the component, the global Hadoop big analytics market is bifurcated into software and services. Software segment account for the largest share in the market accredited to Hadoop big data analytics software being massively used by business to manage, scale and distribute enterprise and customer data. It also facilitates the collection of metrics from data clusters of individual machines and generating reports
- Based on application, Risk & Fraud Analytics, Internet of Things (IoT), Customer Analytics, Security Intelligence are the major applications in the global Hadoop big data analytics market. The risk & fraud analytics segment accounted for the majority share in 2018. This is primarily attributed to the increased focus towards risk and fraud assessment in modern businesses wherein the segment facilitates end-to-end assessment for identifying current and potential issues
- Based on end-users, in 2018, the BFSI segment accounted for the largest market share and is likely to continue its dominance during the forecast period. Banking, financial services and insurance involve a tremendous amount of data generation. Being a highly regulated sector, it requires dynamic solutions. Hence, the legacy platforms used by organizations in the sector are being supplemented by advanced software frameworks such as Hadoop big data analytics
- Based on region, detailed analysis is conducted for major regions including North American, Europe, Asia-Pacific and the Rest of the World. In 2018, North America constituted to be the largest revenue-generating geography in Global Hadoop big data analytics market. Countries such as the U.S. and Canada being technologically developed as well as advanced, have significantly allowed the fast adoption of cutting-edge technologies in the region. Moreover, the presence of an impressive cloud infrastructure paired with majority of Hadoop distribution organizations and technology vendors being located in North America continues to support the further growth of the respective market. North America represented by a massive BFSI sector has also made the region the most lucrative business destination for market players
- The prominent players in the Hadoop Big Data Analytics Market include Cisco Systems Inc, Microsoft Corporation, IBM Corporation, Amazon Web Services, Hitachi Ltd, Cloud Era Inc, MapR Technologies Inc, Teradata Corporation, MarkLogic, Tableau Software
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