Hadoop Big Data Analytics Market size was valued at USD 12.9 billion in 2020 and is expected to reach USD 607.8 billion by 2030, growing at a CAGR of 47.0% during the forecast period. Hadoop is an open source, Java based framework used for storing and processing of big data. The massive amount of data is produced every day by businesses and users. Big data analytics uses advanced analytic techniques for examining these large data sets containing structured, semi-structured and unstructured data from different sources to underline insights and patterns. Hadoop is a highly scalable storage platform which also also offers a cost effective storage solution for businesses' exploding data sets. Moreover, hadoop enables businesses to easily access new data sources and tap into different types of data with fault tolerance. Data can be in different sizes from terabytes to zettabytes. Hadoop big data analytics helps organizations harness their data and use it to identify new opportunities for smarter business moves, more efficient operations and higher profits. In addition, with latest hadoop big data analytics tools like Apache Storm, Cassandra, MongoDB, analysis of data becomes easier and quicker. This, in turn, leads to faster decision making which saves more time and energy. Use of machine learning (ML) and artificial intelligence (AI) in data-driven organizations are accelerating trends. In addition, use of hybrid deployments such as hybrid and multi-cloud methodology to the forefront of data ecosystem strategies is emerging as a trend which can be seen as an opportunity by market players.
Market Segmentation:
On the basis of the deployment model, the hadoop big data analytics market is classified into cloud-based, on-premises, and hybrid. On the basis of service, the market is bifurcated into professional and managed. According to application, market is classified into risk & fraud analytics, Internet of Things (IoT), customer analytics, offloading mainframe, and security intelligence. On the basis of end-users, the market is segmented into banking, financial services and insurance (BFSI), government & defense, healthcare & life sciences, retail & consumer goods, media & entertainment, energy & utility, transportation & SCM, IT & telecommunication, and others. Geographic breakdown of the regions include North America, Europe, Asia-Pacific, and RoW.
Market Dynamics and Factors:
Increasing volume of big data is the key driver for the growth of hadoop big data analytics market. IBM stated that, people are already generating 2.5 quintillion bytes of data each day Worldwide. Moreover, according to Forbes, over 150 trillion gigabytes (150 zettabytes) will need analysis by 2020. Additionally, latest trends in analytics such as augmented analytics, in-memory computing and data analysis automation are bringing enormous opportunities for the hadoop big data analytics market growth in the coming years. Moreover, demand of cost effective hadoop big data and fast solution is growing across the globe which is fueling the market growth. Merging Artificial Intelligence (AI) and Machine Learning (ML) techniques to big data analytics has produced more ways of creating, developing, sharing and utilizing analytics. However, shortage of skilled professionals is restricting the growth of the hadoop big data analytics market. Furthermore, lack of awareness and security concerns are the major factors that challenge the market growth in the upcoming years.
Geographic Analysis:
North America and Europe dominates the global hadoop big data analytics market. North America will continue its domination during the forecast period. From North America, U.S. has strong foothold of Big Data analytics vendors such as Microsoft Corporation, IBM Corporation, Intel Corporation which is fueling the growth of hadoop big data analytics market. Furthermore, surge in adoption of advanced analytics in various organizations and rising need to create meaningful insights form large datasets drive the growth of the hadoop big data analytics market in Europe. Asia Pacific is projected to growth with the rapid CAGR over the forecast period owing to rapid industrialization and urbanization. Moreover, government initiatives in India such as Digital India, Make in India and Aatm Nirbhar Bharat are expected to boost the hadoop big data analytics market growth in the region. The expanding startup community due to these initiatives and increasing technology adoption by Small and Medium-sized Enterprises (SMEs) is fuelling the healthy demand for managed data centre, analytics, hosted infrastructure and hosted application services which is aiding the market growth in this region.
Competitive Scenario:
The major key players in the hadoop big data analytics market include Intel Corporation, Microsoft Corporation, IBM Corporation, SAP SE, Teradata Corporation, SAS Institute Inc., MongoDB, Inc., Amazon Web Services, Cloudera, Inc. and Tableau Software, Inc.
Hadoop Big Data Analytics Market Report Scope
| Report Attribute | Details |
| Analysis Period | 2020–2030 |
| Base Year | 2021 |
| Forecast Period | 2022–2030 |
| Market Size Estimation | Billion (USD) |
| Growth Rate (CAGR%) | 47 % |
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| By Deployment Model (Cloud Based, On-premises, and Hybrid), By Service (Professional and Managed), By Application (Risk & Fraud Analytics, Internet of Things (IoT), Customer Analytics, Offloading Mainframe, and Security Intelligence), By End-User (Banking, Financial services and Insurance (BFSI), Government & Defense, Healthcare & Life Sciences, Retail & Consumer Goods, Media & Entertainment, Energy & Utility, Transportation & Supply Chain Management |
| Geographical Segmentation | North America (U.S., Canada, Mexico) Europe (UK, Germany, Italy, France, Rest of Europe), Asia-Pacific (China, Japan, India, Australia, Rest of APAC), South America (Brazil, Argentina, Rest of SA), MEA (UAE, Saudi Arabia, South Africa) |
| Key Companies Profiled | Intel Corporation, Microsoft Corporation, IBM Corporation, SAP SE, Teradata Corporation, SAS Institute Inc., MongoDB, Inc., Amazon Web Services, Cloudera, Inc. and Tableau Software, Inc. |
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