Apache Spark Market Industry Trends, Estimation & Forecast, 2018 - 2025

Spark has evolved as an effective alternative for Hadoop. Its speed of processing is high compared to Hadoop as a result of its bottom-up engineering. Its popularity has increased recently for on-disk sorting, involving large data sets. Easy-to-use application program interface (API) is developed to handle large amount of data. It includes multiple operators for manipulating semi-structured data by revamping all the information and familiar data APIs. At the heart of Apache Spark is a unified engine, it includes support for SQL queries, higher-level libraries, machine learning, streaming data and graph processing. Also, these libraries can be combined seamlessly to create complex workflows. Apache Spark can be deployed in the cloud on the Amazon Elastic Compute Cloud (EC2) service or as a standalone application.

Due to its advanced features and functionality, popularity of Apache Spark has increased within the developers, integrators and end-users. It supports multiple languages so that the developers can write applications in Java, Python, Scala or R, further increasing the popularity of Apache Spark. Furthermore, adoption and deployment of Spark has been faster as it came on the back of Hadoop. It integrates seamlessly with Hadoop data sources such as Hadoop distributed file system (HDFS), Hive, HBase and Cassandra and Hadoop ecosystem. Spark has matured and it has become a mainstream solution at a perfect time when Internet of Things (IoT) devices are proliferating in the market. IoT devices are anticipated to drive the Apache Spark market during the coming years as the need for processing large data sets is expected to increase.

Apache Spark Market is expected to grow with a CAGR of 33.9% during the forecast period of 2018 to 2025.

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Based on Data Tier, the Apache spark market report provides a detailed analysis of more than 10PB, 1PB to 10 PB, 100TB to 1PB and less than 100 TB. Based on the application, the segmentation has been done as data, integration, click stream analysis, predictive analytics, and social media. Out of which, the social media and clickstream segments have dominated the market revenue in 2018 and are anticipated to grow at a CAGR of more than 36.2% over the forecast period.

The North American region has shown its dominance in terms of revenue generated in 2018. This region accounted for almost 48% of the overall market revenue in 2018. Comprehensive application of this technology in various industries, especially in IT and telecom industries is a major factor driving the Apache Spark market shares in this region. An increasing number of industry players in this region is also going to augment market growth. Significant investments made by developing countries such as China, Japan, and India are further expected to increase Apache spark business size in Asia- Pacific region. 

Major players associated with the Apache Spark market include IBM Corporation, Databricks, MapR Technologies Inc., Qubole, Inc. and Cloudera, Inc.

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