Hadoop is a framework that is developed using open-source software that is utilised to effectively store and analyse big datasets that can range in size from gigabytes to petabytes. Hadoop enables the clustering of several computers so that big datasets can be analysed in parallel and much more quickly than was previously possible. This is done in place of having a single massive computer to store and process the data. In addition, the Hadoop ecosystem contains a multitude of tools and applications that can assist with the collection, storage, processing, analysis, and management of large amounts of data. Hadoop is a network for open-source programming that is based on the Java programming language and is backed by the Apache Software Foundation. It enables the processing of massive datasets in a computing environment that is dispersed across multiple computers. HDFS and MapReduce are the two primary subprojects that are part of Hadoop. While HDFS is a file system that is used for data storage in a Hadoop cluster, MapReduce is a framework that distributes work across the clusters that are included within a node. Hadoop is typically implemented in the following industries: manufacturing, business financial services, consumer products, information technology and telecommunications, government and defence, healthcare, retail, energy, and transportation.
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Software, applications, hardware, and services are the primary categories of products that may be produced with Hadoop. Hadoop is a platform that enables the distributed processing of enormous data volumes across cluster servers by using fundamental programming principles. Hadoop refers to this framework. It is meant to expand from a single server to millions of nodes, each of which has the ability to compute and store data. On-premise, cloud, and hybrid deployment options are utilised in a variety of business sectors, including BFSI, manufacturing, retail, telecommunications, healthcare and life sciences, media and entertainment, natural resources, commerce and transportation, government, and IT and ITES, amongst others.
A growing amount of venture money is being invested in Hadoop integration and deployment services, which is the reason why the services segment currently owns the highest portion of the Hadoop market in terms of its component. However, it is projected that the software segment will expand at the fastest rate during the forecast period. This is due to a growth in the deployment of software by developers to construct real-time applications that simplify complex products and assist developers write Hadoop apps or analyse data that is stored in Hadoop. North America held the majority of the Hadoop market share in 2020, and it is anticipated that it will continue to hold this position throughout the forecast period. This is owing to the region's early adoption of Hadoop as well as its high level of technological innovation. On the other hand, Asia-Pacific is anticipated to have significant growth over the course of the projection period. This is mostly because to the rise in digitization as well as the increase in data generated by Internet of Things devices.
Because the Hadoop architecture is still in its infant stages, the number of organisations that have adopted it is rather modest. At this time, around one-third of the businesses who are utilising it are actually benefiting from the Hadoop solution. The difficulty of manually coding data is just one of the many obstacles that contributes to the slower adoption of the architecture Hadoop. Other key factors include the cost of training and the services associated with Hadoop. Hadoop is software that can be downloaded for free from the internet; nevertheless, its widespread use is being hampered by the complexity of the architecture that must follow it. As a result, it is anticipated that the expansion of the worldwide Hadoop market will be hampered by these factors over the forecast period. A significant element that is impeding the expansion of the market is a shortage of labour specialists who are suitably qualified and have sufficient work experience. Managing this architecture can be a challenging endeavour due to the complexities involved. There are already a number of certifications and courses available to train people on Hadoop that are hosted by a variety of different organisations. For instance, Cloudera University and Hortonworks University both offer training and certification for Apache Hadoop. Even if it is anticipated that the number of professionals will rise in the not too distant future, this aspect is still acting as a significant barrier at the moment. As a result, it is anticipated that the expansion of the worldwide Hadoop market would be hampered by these issues during the course of the projected year.

Report Coverage
Global Hadoop research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Hadoop report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Hadoop competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Hadoop market players and analyses their core competencies in each global market sub-segments.
REPORT ATTRIBUTES | DETAILS |
---|---|
Study Period | 2017-2030 |
Base Year | 2022 |
Forecast Period | 2022-2030 |
Historical Period | 2017-2021 |
Unit | Value (USD Billion) |
Key Companies Profiled | Cisco Systems, Inc., Cloudera Inc., EMC – Greenplum, Horton Works, HStreaming LLC, IBM Corporation, Karmasphere Inc., MapR Technologies Inc., Pentaho, Teradata Corp. |
Segments Covered | • By Product |
Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Hadoop Market from 2021 to 2030.
- Market Forecast for Hadoop Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Hadoop competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Hadoop
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Hadoop market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Hadoop market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
Cisco Systems, Inc., Cloudera Inc., EMC – Greenplum, Horton Works, HStreaming LLC, IBM Corporation, Karmasphere Inc., MapR Technologies Inc., Pentaho, Teradata Corp.
Primary Target Market
- Market Players of Hadoop
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global Hadoop market based on the below-mentioned segments:
Global Hadoop Market, By Component
Hardware
Software
Service
Global Hadoop market, By Deployment Model
On Premise
Cloud
Hybrid
Global Hadoop Market, By Vertical
Manufacturing
BFSI
Retail & Consumer Goods
IT & Telecommunications
Healthcare
Government & Defense
Media & Entertainment
Energy & Utility
Trade & Transportation
Others
Global Hadoop market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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