Hadoop-as-a-service (HaaS) Market Aims To Expand At Double-Digit Growth Rate | MapR Technologies, EMC Corporation, Mortar Data

Hadoop-as-a-service (HaaS), also known as Hadoop in the cloud, is a Big Data analytics framework that stores and analyzes data in the cloud by using Hadoop. Users do not have to invest in or install additional infrastructure on premises when using the technology, as it is provided and managed by a third-party vendor. Hadoop is a software framework, which is used to manage data and storage for big data applications in clustered systems. It gives users the ability to collect, process, and analyze data. The research also provides a market analysis using various analytical techniques, including Porter's Five Forces Analysis and PESTEL Analysis. These tools provide an in-depth analysis of the micro- and macro-environmental elements that influence the market's expansion during the forecast period.

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Despite Hadoop being the leader, not all organizations are capable of installing as well as maintaining in-house Hadoop environment. This helps them to concentrate on their core businesses. Hadoop-as-a-service tries to provide the same experience to users in the cloud. The adoption of HaaS has increased among medium & large scale organizations that do not have the infrastructure or ability to host Hadoop on premises.

Factors such as increase in penetration of Internet of Things (IoT) across the globe, increase in demand for cost-effective solutions for the management of Big Data, and wide acceptance of HaaS across different industry verticals such as IT, banking, manufacturing, and telecommunication fuel the growth of the Hadoop-as-a-service market. In addition, decline in prices of cloud-based services along with upsurge in demand for HaaS from small & medium enterprises (SMEs) drives the growth of the market. However, low security for highly confidential data and lack of awareness about benefits of this technology are expected to hinder the growth of the market. On the contrary, ongoing partnership and funding in Hadoop market and rising popularity of e-commerce are expected to provide lucrative opportunities for the market growth in the coming years.

The Hadoop-as-a-service market is segmented into deployment type, organization size, end user, and region. On the basis of deployment type, the market is bifurcated into run it yourself (RIY) and pure play (PP). By organization size, it is categorized into small & medium-sized enterprises and large enterprises. Depending on end user, it is segregated into manufacturing, BFSI, retail & consumer goods, healthcare & life sciences, government & defense, media & entertainment, education, IT & telecommunication, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the Hadoop-as-a-service market and current & future trends to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analyses on the market is provided.
- Porter's five forces analysis illustrates the potency of buyers and suppliers operating in the Hadoop-as-a-Service industry.
- The quantitative analysis of the market from 2018 to 2026 is provided to determine the market potential.

KEY MARKET PLAYERS
- Microsoft Corporation
- IBM Corporation
- Amazon web services
- Cloudera Inc.
- Google Inc.
- MapR Technologies
- EMC Corporation
- Mortar Data (Datadog)
- SAP SE
- Datameer

KEY MARKET SEGMENTS
BY DEPLOYMENT TYPE
- Run it Yourself (RIY)
- Pure Play (PP)

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BY ORGANIZATION SIZE
- Small & Medium-sized Enterprises
- Large Enterprises

BY END USER
- Manufacturing
- BFSI
- Retail & Consumer Goods
- Healthcare & Life Sciences
- Government & Defense
- Media & Entertainment
- Education
- IT & Telecommunication
- Others

BY REGION
- North America
o U.S.
o Canada

- Europe
o UK
o Germany
o France
o Spain
o Rest of Europe

- Asia-Pacific
o China
o India
o Japan
o Australia
o Rest of Asia-Pacific

- LAMEA
o Latin America
o Middle East
o Africa

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