◆英語タイトル：Global Hadoop Market 2015-2019
Technavio’s market research analysts predict the global Hadoop market to grow at a CAGR of more than 53% over the next four years. Several factors such as data explosion in enterprises and demand for cost-effective solutions to meet big data analytics needs contribute to the growth of this market.
However, the market is witnessing a lack of trained and talented technical experts. Companies are unaware of the technologies concerned and skills required for managing big data. As per the forecast, this market will witness a gradual shift towards Software as a Service (SaaS)-based Hadoop solutions as it helps enterprises save cost and gain a better user experience.
The Hadoop platform collects data from various sources such as social media, customers, and financial data, and stores it in a Hadoop data warehouse to undergo the map reduce process.
In the map step, the input is mapped into cluster control nodes from various sources such as legacy systems, XML files and packaged enterprise applications such as CRM, ERP, SCM, SaaS-based applications files, Industry-specific files, and digital content such as e-mail and website content.
The second step is called reduce, and it involves various smaller nodes of information that are generated and distributed across computing servers. Thereafter, parallel computation is performed by these work nodes to generate relevant output for queries. The results are collected from the nodes to generate conclusive data for decision-making purposes. The analyzed data is interpreted through tools such as business intelligence (BI) applications, enterprise applications, and dashboards.
Various big data solutions such as analytics and data management are performed on this cloud-based platform. Enterprise end-users access the results through web-based subscription services offered by their service providers.
Segmentation of the global Hadoop market by end-users
Presently, the hadoop technology has been adopted by a very limited number of organizations. The application of hadoop technology is expected to increase in many new enterprise verticals during the forecast period. Early adoption of hadoop by the BFSI and manufacturing sector is expected to propel the growth of this market over the next four years.
Segmentation of the global Hadoop market by deployment
-Hadoop on-premise (Hadoop)
-Hadoop as a service (HDaas)
The market share for the HDaaS segment is expected to grow at a faster rate through 2019. The emergence of Big Data and its adoption by SMEs are key trends that are expected to drive the global HDaaS market during the forecast period.
The US is a major revenue contributor for the global Hadoop market. Hadoop as a service is particularly popular in the region as it provides a secure environment for industries seeking cloud technology, with a cost-effective, shared, and secure infrastructure.
In the past few years, the global hadoop market has witnessed multiple venture capital investments of more than $250 million. Most of these companies are also providers of HDaaS solutions. New developments in Hadoop technology are expected to draw significant investor attention during the forecast period.
PART 01: Executive summary
PART 02: Scope of the report
• Market overview
• Top-vendor offerings
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
PART 05: Market landscape
• Market overview
• Hadoop-based big data management
• Hadoop versus RDBMS
• Market size and forecast
• Five forces analysis
PART 06: Market segmentation by deployment
• Market segmentation by deployment type
PART 07: Market segmentation by end-user
• Market segmentation by end-user
PART 08: Market segmentation by geography
• Global Hadoop market by geography 2014
• Global Hadoop market by geography 2014-2019
PART 09: Market drivers
PART 10: Impact of drivers
PART 11: Market challenges
PART 12: Impact of drivers and challenges
PART 13: Market trends
PART 14: Vendor landscape
• Competitive scenario
• Other prominent vendors
PART 15: Key vendor analysis
• Amazon Web Services
• Cisco Systems
PART 16: Appendix
• List of abbreviations
PART 17: Explore Technavio
[List of Exhibits]
Exhibit 01: Product offerings
Exhibit 02: Modules of Hadoop framework
Exhibit 03: Hadoop-based big data management
Exhibit 04: Comparison of Hadoop and RDBMS
Exhibit 05: Global Hadoop market 2014-2019 ($ billions)
Exhibit 06: Five forces analysis
Exhibit 07: Global Hadoop market by deployment type
Exhibit 08: Global Hadoop market by deployment type 2014
Exhibit 09: Global Hadoop market by deployment type 2014-2019
Exhibit 10: Global Hadoop market by deployment type 2014-2019 ($ billions)
Exhibit 11: Global Hadoop market by geography 2014
Exhibit 12: Global Hadoop market by region 2014-2019
Exhibit 13: Global Hadoop market by region 2014-2019 ($ billions)
Exhibit 14: Impact of drivers
Exhibit 15: Impact of drivers and challenges
Exhibit 16: Cisco Systems: Business segmentation by revenue 2014
Exhibit 17: Cisco Systems: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 18: Cisco Systems: Product segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 19: Cisco Systems: Geographical segmentation by revenue 2014
Exhibit 20: Hortonworks: Geographical segmentation by revenue 2014
Amazon, Cisco, Cloudera, Datameer, Hortonworks, Altiscale, Cask, Google, HP, Infochimps, Karmasphere, MapR Technologies, Mortar Data, Pentaho, and Teradata.