The global Hadoop big data analytics market size to grow from USD 12.8 billion in 2020 to USD 23.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 13.0% during the forecast period. Various factors such as the growing focus on digital transformation, rise in investments in analytics, increasing focus on remote monitoring in support of the COVID-19 pandemic, growing adoption of smart payment technologies, and business need to build a digital infrastructure for large-scale deployments are expected to drive the adoption of Hadoop big data analytics market.
The marketing and sales business function to hold a larger market size during the forecast period
The Hadoop big data analytics market by business function has been segmented into marketing and sales, operations, finance, and human resources. The marketing and sales segment is expected to grow at a rapid pace in the coming years in the Hadoop big data analytics market. The growing use of structured and unstructured data across marketing and sales to understand and enhance customer experience is expected to fuel the adoption of Hadoop big data analytics solutions and services.
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The BFSI vertical to hold the largest market size during the forecast period
The Hadoop big data analytics market is segmented based on vertical. The verticals include BFSI, transportation and logistics, retail and eCommerce, manufacturing, telecommunications and IT, healthcare and life sciences, government and public sector, media and entertainment, travel and hospitality, others (energy and utilities, education and research, and real estate). The BFSI segment is expected to hold the largest market size during the forecast period in the Hadoop big data analytics market. The growth of the BFSI vertical can be attributed to the dynamic and competitive nature of the BFSI market, characterized by changing consumer demands, evolving macroeconomic landscapes, and evolving regulatory frameworks. Hadoop big data analytics solutions can empower the vertical to navigate challenges by lowering infrastructure costs, automating non-core business applications such as CRM and ERP, and bringing innovative products in the market.
According to MarketsandMarkets, Hadoop big data analytics is the application of specialized analytical tools and procedures to extract value from huge volumes of data stored on Hadoop. Hadoop is an open-source program, which is licensed under Apache. A global community of users maintains it. Apache Hadoop is a 100% open-source that has resulted in the establishment of a fundamentally new method of storing and processing data. The Apache Hadoop platform also includes the Hadoop distributed file system (HDFS), which is designed for scalability and fault-tolerance. Big data analytics on Hadoop can help organizations operate efficiently, uncover new opportunities, and derive next-level competitive advantages.
Some of the key players operating in the Hadoop big data analytics market include Microsoft (US), AWS (US), Cloudera (US), HPE (US), IBM (US), Oracle (US), SAP (Germany), Google (US),SAS Institute (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Micro Focus (UK), Hitachi Vantara (US), Qubole (US), Splunk (US), Dell Technologies (US), Huawei (China), Dremio (US), Imply (US), Starburst (US), Alluxio (US), TheMathCompany (US), Kyvos Insight (US), and Amlgo Labs (India). These Hadoop big data analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global Hadoop big data analytics market.
Cloudera was founded in 2008 and is headquartered in California, US. It delivers enterprise data cloud from Edge to AI that comprises Cloudera DataFlow (CDF), Cloudera Data Warehouse, and Cloudera ML offerings, helping businesses analyze data for getting some actionable data insights. In January 2019, Cloudera and Hortonworks merged to deliver the enterprise data cloud platform to enterprises. The open-source enterprise data cloud platform would provide enterprises with the flexibility of running data on both hybrid and multi-cloud environments. The company offers professional, operational, and ML services to clients for improving business performance. It caters to various industries, including financial services, manufacturing, insurance, telecommunication, retail, technology, healthcare, energy and utilities, public sector, and education. In the Hadoop big data analytics market, the company offers Hortonworks Data Platform (HDP), Cloudera Distributed Hadoop (CDH), Cloudera Data Platform (CDP) Data Center, and Cloudera DataFlow (Ambari).
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AWS was founded in 2006 and is headquartered in Washington, US. The company is a subsidiary of Amazon and primarily offers cloud computing services in the form of web services. It offers a wide range of products and services to customers present in 190 countries. Amazon’s product portfolio comprises segments, such as compute, storage, database, migration, network and content delivery, developer tools, management tools, media services, ML, and analytics. AWS offers over 175 fully featured services for computing, storage, databases, networking, analytics, robotics, ML, AI, IoT, mobile, security, hybrid, virtual and augmented reality, media, and application development, deployment, and management from 76 availability zones within 24 geographic regions. The solutions segment offers website and web apps, mobile services, back-up, storage and archive, financial services, and digital media. It caters to various industry verticals, such as media and entertainment, automotive, education, BFSI, game tech, government, healthcare and life sciences, manufacturing, retail, telecommunications, oil & gas, and power utilities. The company has its geographical presence in North America, Europe, APAC, MEA, and Latin America. In the Hadoop big data analytics market, AWS offers Amazon Elastic MapReduce (EMR) that is used to process large datasets efficiently.
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