Global Hadoop Big Data Analytics Market - Growth, Trend and Forecasts (2018 - 2023)

Global Hadoop Big Data Analytics Market - Growth, Trend and Forecasts (2018 - 2023)

The hadoop big data analytics market is expected to grow at a CAGR of over 40%, during the forecast period (2018 - 2023). The scope of the report is limited to solutions offered by various market players from various end-user sectors including retail, IT & telecommunication, healthcare, banking financial services & insurance, government & defense, and manufacturing. The regions considered under the scope of the report include North America, Asia-Pacific, Europe, Latin America, and Middle East & Africa.

With the increase in the volume, velocity, and variety of data, companies are looking for means to analyze and process it as quickly and economically as possible. Considering the current state of big data, a tremendous amount of information is being generated every day in the form of heterogeneous databases. To cater this, the demand for cost-effective Hadoop big data solutions is increasing among the enterprises worldwide, as these solutions will help organizations to manage and analyze such huge datasets for understanding the trend and help in the decision making at the corporate level in real-time. With the advancement of this solution, data can be stored, evaluated, and extracted to meet the desired objective. It aids in improving the models of business and maximize the revenue of the vendors.

IT & Telecommunication Sector to Dominate the Market over the Forecast Period

The amount of data generated by telecommunication industry has high velocity and volume. In a hypercompetitive industry, telecommunication companies have to differentiate their offerings and target customers effectively, with the information collected about customer behavior and preferences. The application of Hadoop big data analytics in telecom sector creates opportunities for telecommunication companies by using the Hadoop framework in big data ecosystem by combining various real-time insights with the habits and preferences of the customer to achieve unparalleled marketing power.

The revenue model of Telecom sector has seen a marked shift from the traditional voice and messaging driven model to a data driven model. This churn in the industry has given rise to an enormous amount of data which has never been seen before. The integration of Hadoop in the telecom sector is in need for robust, scalable and accurate data analysis software, which is capable of tracking and analyzing such large volume communication in real time.

North America to Appear as one of the Leading Region in the Hadoop Big Data Analytics Market

North America accounted for the largest share of the Hadoop big data analytics market. This growth can be attributed to the increasing deployment of Hadoop big data solutions by major IT enterprises such as Google, Microsoft, IBM, and Oracle in the region to enhance the efficiency and streamline their business operations. Companies of the region are spending heavily on R&D initiatives for developing integrated solutions that provide superior advantages by shifting their attention to Big Data as a useful means to derive insights from the huge amount of data generated from various sources. The Hadoop technologies in such databases frameworks are at the core of the solutions heralding a paradigm shift.

Notable Developments in Hadoop Big Data Analytics Market

May 2018: Google has acquired Cask Data, a Palo Alto startup that specializes in building solutions to run big data analytics services based on Hadoop, which also confirmed that the company would continue supporting existing customers and products.
March 2018: Hortonworks, Inc. introduced Hortonworks Operational Services to help customers manage big data deployments and more quickly maximize the value of their data. The subscription-based service provides a fully managed environment for customers of Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF) and ongoing access to dedicated Hortonworks support teams with deep experience building and managing modern data platforms.


Reasons to Purchase Hadoop Big Data Analytics Market Report

To understand the impact of Hadoop Big Data analytics in the IT & Telecommunication sector.
Analyzing various perspectives of the market with the help of Porter’s five forces analysis
To understand the dominating technology in the market
The region that is expected to witness the fastest growth during the forecast period
Identify the latest developments, market shares and strategies employed by the major market players
3 months analyst support along with the Market Estimate sheet (in Excel)

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1. Introduction
1.1 Key Study Deliverables
1.2 Market Definition
1.3 Study Assumptions
2. Research Methodology
3. Executive Summary
4. Hadoop Big Data Analytics Market Insights
4.1 Hadoop Big Data Analytics Market Overview
4.2 Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products and Services
4.2.5 Competitive Rivalry in the Industry
4.3 Industry Value Chain Analysis
4.4 Industry Policies
4.5 Technology Snapshots
5. Hadoop Big Data Analytics Market Dynamics
5.1 Hadoop Big Data Analytics Market Drivers
5.1.1 Rising Demand of Technological Advancement in the field of Big Data Analytics
5.1.2 Growing Demand of Industrial Internet of Things (IIoT) in the Era of Industry 4.0
5.1.3 Increasing Demand of Hadoop Technology Providing Cost Effective Solution as Compared to the Traditional Tools Used for Data Analysis (RDBMS)
5.2 Hadoop Big Data Analytics Market Restraints
5.2.1 Growing Volume of Unstructured & Decentralized Data Base System in the Industry
5.2.2 Increasing Regulatory Issues related to Big Data use in Hadoop System
5.2.3 Industry is highly cost intensive and requires substantial initial investment.
5.3 Hadoop Big Data Analytics Market Opportunities
5.3.1 Driving the Business toward a Data Driven Model by the Application of Analytics
5.3.2 Increasing Capacity of Data by Velocity, Volume, and Variety Led the Requirement of Better Storage Capacity System
6. Global Hadoop Big Data Analytics Market Segmentation
6.1 Hadoop Big Data Analytics Market By Application
6.1.1 Social Media Analytics
6.1.2 Sentimental Analytics
6.1.3 Operational Intelligence
6.1.4 Customer Analytics
6.1.5 Risk & Fraud Analytics
6.1.6 Security Intelligence
6.2 Hadoop Big Data Analytics Market By Deployment
6.2.1 Cloud Based
6.2.2 On-premises
6.2.3 Hybrid
6.3 Hadoop Big Data Analytics Market By Service
6.3.1 Professional
6.3.2 Managed
6.4 Hadoop Big Data Analytics Market By Solution
6.4.1 Packaged Software
6.4.2 Management Software
6.4.3 Application Software
6.5 Hadoop Big Data Analytics Market By End-User Industry
6.5.1 IT & Telecommunication
6.5.2 BFSI
6.5.3 Manufacturing
6.5.4 Healthcare
6.5.5 Retail
6.5.6 Energy & Utility
6.5.7 Government & Defense
6.5.8 Others (Media & Entertainment, Automotive, Education, Logistics)
6.6 Hadoop Big Data Analytics Market By Region
6.6.1 North America US Canada
6.6.2 Europe UK Germany France Rest of Europe
6.6.3 Asia-Pacific China Japan India Rest of Asia-Pacific
6.6.4 Latin America Mexico Brazil Argentina Rest of South America
6.6.5 Middle-East and Africa UAE Saudi Arabia Southern Africa Rest of Middle-East and Africa
7. Competitive Intelligence - Company Profiles
7.1 Tableau Software, Inc.
7.2 Teradata Corporation
7.3 IBM Corporation
7.4 Microsoft Corporation
7.5 Cloudera Inc.
7.6 Intel Corporation
7.7 Cisco Systems, Inc.
7.8 SAP SE
7.9 Amazon Web Services, Inc.
7.10 Hitachi Ltd. (Pentaho Corporation)
7.11 Alphabet Inc. (Google Cloud)
7.12 SAS Institute Inc.
7.13 Hortonworks Inc.
7.14 Hewlett Packard Enterprise Development LP
7.15 MongoDB Inc.
7.16 Mapr Technologies, Inc.
7.17 Oracle Corporation
7.18 Datameer, Inc.
*(List Not Exhaustive)
8. Investment Analysis
9. Future of Global Hadoop Big Data Analytics Market

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