Segments - Hadoop Big Data Analytics Market by End-users (IT & Telecommunication, Weather Forecasts, Gaming, Banking, Transportation, Public Organization, and Healthcare), Product Types (Hadoop Management Software, Hadoop Application Software, Hadoop Performance Monitoring Software, and Hadoop Packaged Software), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2021 – 2028
The global hadoop big data analytics market size is anticipated to register a considerable CAGR during the forecast period, 2021-2028. The growth of the market is attributed to the rise in substantial information generation across different industry verticals, such as banking, healthcare, and IT.
Hadoop is open-source, java-based framework that permits big data storage analytics by using simple programming models across distributed computer clusters. Big data analytics refers to the strategy of analyzing large volumes of data. Hadoop offers several benefits for big data analytics, which includes fast processing, high scalability, flexible, cost effectiveness, and is resistant to failure. Hadoop is a platform made up with many integral components, which helps in distributed processing and storage. The core components are hadoop distributed file system, MapReduce, yet another resource negotiator, and some supplementary components.
The COVID-19 pandemic outbreak had considerable impact on the market. During the pandemic, government bodies imposed an emergency lockdown resulted in temporary closure of public, ecommerce, manufacturing, retail, and government sectors affected the demand of hadoop big data analytics. However, increase in the demand for remote services and rise in the need for real-time information to track and monitor COVID-19 spread increasing the demand of hadoop big data analytics.
The report on the global hadoop big data analytics market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.
Attributes |
Details |
Report Title |
Hadoop Big Data Analytics Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast |
Base Year |
2020 |
Historic Data |
2018–2019 |
Forecast Period |
2021–2028 |
Segmentation |
End-users (IT & Telecommunication, Weather Forecasts, Gaming, Banking, Transportation, Public Organization, and Healthcare) and Product Types (Hadoop Management Software, Hadoop Application Software, Hadoop Performance Monitoring Software, and Hadoop Packaged Software) |
Regional Scope |
Asia Pacific, North America, Latin America, Europe, and Middle East & Africa |
Report Coverage |
Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast |
Key Players Covered in the Report |
Hortonworks, Inc.; Cloudera, Inc.; Hadapt, Inc.; Outerthought; Platform Computing; Greenplum, Inc.; Pentaho Corp.; Amazon Web Services LLC; MapR Technologies, Inc.; Karmasphere, Inc.; Zettaset, Inc.; and Hstreaming LLC |
On the basis of end-users, the global hadoop big data analytics market is segregated into IT & telecommunication, weather forecasts, gaming, banking, transportation, public organization, and healthcare. The healthcare segment is projected to register at high CAGR during the projected timeline owing to surge in the data during pandemic, which need to be stored and analyzed for insights. Additionally, the segment growth is further accelerated as, the analytics solutions offer many benefits in healthcare sector, such as emergency care, tracking patient status, and real-time alarming. On the other hand, the banking segment is anticipated to register a substantial CAGR during the forecast period attributed to the surge in volume of data as a result of digital payment. Furthermore, the analytics solution assist banking sectors in fraud detection and risk management, which is driving the segment growth further.
Based on product types, the market is divided into hadoop management software, hadoop application software, hadoop performance monitoring software, and hadoop packaged software. The hadoop management software segment is expected to grow at a rapid pace during the forecast period due to its ability to provide massive storage of data with better workflow, and its cost effective nature. Moreover, it offers benefits in numerous sector of organization, including human resource, finance, and marketing & sales is major driver of the segment. On the other hand, the hadoop application software segment is anticipated to expand at a substantial CAGR in the coming years owing to need for centralized management of data and easy integration of data from wide range of resources.
In terms of region, the global hadoop big data analytics market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is anticipated to constitute a key share of the market during the projected period owing to the rise in volume of data and development as well as adoption of AI and big data technology by enterprises in the region. However, the market of Asia Pacific is anticipated to grow at a rapid pace during the forecast period due to the rapid industrialization and urbanization coupled with government initiatives, such as smart city in the emerging economies of the region.
Segments Covered in the Report
The global hadoop big data analytics market has been segmented on the basis of
End-users
Product Types
Regions
Key Players
Key players competing in the global hadoop big data analytics market are Hortonworks, Inc.; Cloudera, Inc.; Hadapt, Inc.; Outerthought; Platform Computing; Greenplum, Inc.; Pentaho Corp.; Amazon Web Services LLC; MapR Technologies, Inc.; Karmasphere, Inc.; Zettaset, Inc.; and Hstreaming LLC. Companies are focusing on investment in R&D to develop superior and efficient systems & control hubs. Furthermore, companies have been widely engaged in strategic partnership, merger & acquisition, new product launch, and collaborations to boost their market share and acquiring new buyers.
For instance, in April 2020, IBM launched a novel Artificial Intelligence (AI)-powered technologies to help the Health and Research Community in fast-tracking the treatments for COVID-19 and discovery of medical insights. In June 2019, Cloudera a U.S. based Software Company and IBM announced a partnership for bringing organizations on the Apache Hadoop ecosystem AI solutions and advanced data. The aim of the partnership was to accelerate data-driven decision for organization.