The quantum of data has increased significantly during past couple of years due to enablement of Internet of Things (IoT) and expanding enterprise network. Big Data refers to high quantity of data generated from distributed devices across different industrial, commercial and residential infrastructures. The big data is generated in high volume, at high velocity, and is highly versatile in nature. This makes it complex to be captured, stored and processed using relational databases with low latency, thereby creating a demand for advanced analytics solutions and services. The analysis of big data allows businesses and individuals to make informed, better and faster decisions by carefully monitoring the outcome of analytics. Advanced analytics techniques such as machine learning, natural language processing, data mining, text analytics, predictive analytics and statistics to generate insights form huge quantum of data.

Request PDF Sample Report: https://www.insightslice.com/request-sample/439

The industry players are focusing on distributed processing of the big data with the help of advanced software tools. For instance, Apache Hadoop software library is used to process large sets of data across distributed clusters of computers to scale up form single server to thousands of machines located worldwide. The adoption of big data analytics is increasing exponentially to manage and process the data sets generated from different sources. This is anticipated to contribute towards the growth of the global big data analytics market. With increased investment in Internet of Things across the globe, the demand for big data analytics is anticipated to rise significantly during the forecast period.

Rising deployment of big data analytics solutions across multiple industries to drive the market growth

The global big data analytics market is segmented based on component, applications, end use industry, and geography. Based on component, the global big data analytics market is segmented into solutions and services. The solution segment is further sub-segmented into packaged software, management software, application software, performance monitoring software, and others. The services segment is further sub-segmented into managed services, consulting & development services, and training & support services. The solution segment contributed the largest share to the global big data analytics market owing to increased deployment across industrial and commercial applications. Among the services segment, the managed service segment is expected to grow significantly during the forecast period.

Request For Discount on Report: https://www.insightslice.com/request-discount/439

Based on end use industry, the global big data analytics market is segmented into IT & telecommunication, BFSI, healthcare, manufacturing, energy & utility, automotive & transportation, retail, government, and others. The IT & telecommunication segment contributed a significant share to the global market owing to high penetration of big data analytics solutions. Increasing investment in Industrial Internet of Things (IIoT) is expected to contribute towards the swift growth of manufacturing segment during the forecast period.

Based on geography, the global big data analytics market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America. North America contributed the largest share to the global big data analytics market in 2019 and is expected to be a dominating region throughout the forecast period owing to presence of leading big data analytics players and robust growth of IoT and IIoT across the United States and Canada. Asia Pacific is anticipated to be the fastest growing region during the forecast period owing to rising adoption of advanced industrial solutions across emerging countries.

Major players active in the global big data analytics market include Amazon Web Services, Inc., Cloudera, Inc., Hitachi Vantara Corporation, IBM, MarkLogic Corporation, Microsoft, Pivotal Software, Inc., SAP SE, Tableau Software, and Teradata Corporation.

t