Hadoop Big Data Analytics Market
Data has become an integral part of daily lives. Organizations be it big or small have opened themselves to the significance of extensive data and the amount of impact it brings to the organizations. The integration of digital data and its implementation through analytics has been fetching significant traction among various brands and businesses around the world. As technology continues to become more complex and integrates with other technology, analytics will continue to evolve and would require special expertise for niche job roles and responsibilities. With huge amounts of data floating around, Big data analytics has become the frontiers of IT and has become crucial in improving business, decision making and providing biggest edge over the competitors. One such tool comprises of Hadoop Big Data Analytics. Hadoop is primarily an open-source software stack that runs on cluster of machines. It provides distributed storage as well as distributed processing services for very large data sets. It is an Apache project that was released under Apache Open Source License 2.0 which is commercially friendly. Hadoop was originally developed as an open source by Yahoo. Currently, Hadoop is developed as an Apache Software Foundation project and has numerous contributors from Cloudera, Horton Works, Facebook, etc. Hadoop had its start in a Web company. It was initially adopted by social media companies owing to big data problems being faced by the companies and Hadoop offered a solution. Now, Hadoop has made inroads into enterprises.
To elaborate, the respective technical offering has made the processing of Big data useful. It is a cast assortment of open source libraries that makes the analysis of huge data sets easy. To add on, data sets can be inclusive of a high volume of information that can be gathered from different mediums. Hence, the adoption of Hadoop has reduced significant dependency on hardware and has also supported the data scientists to assess the data by generating useful insights that can help the businesses inclusive of identifying the prime reason for failures with just software.
Being best at its framework, comprehensive and cost-efficient, Hadoop has become a prominent name in the world of Big Data. Hence, it is expected that fondness for Hadoop would increase with time and would turn out to be fruitful to build a career in Big data industry. Hadoop showcases excellent job opportunities and portrays extreme demand on account of being cutting edge Big Data trend. It displays higher packages by the companies in the field of big data and demand is also expected to amplify. Chances to enter wide range of industry domains with Hadoop being used in various industry verticals are also anticipated to increase in near future. For instance, it is estimated that in 2019-2020, the forecast of population with analytical skills would reach more than 3 million indicating that the scope of data scientist and Hadoop professional’s scientist is going to expand in the years to come giving better opportunities to candidates aspiring to be a data scientist. Moreover, increasing investments and companies spending heavily on R&D activities for the development of integrated solutions that purposes to provide superior advantages and growing size of unstructured data has tremendously necessitated the adoption of advanced data analytics solutions and Hadoop being the one. However, distributed computing and privacy and security concerns in Hadoop platform act as major hindering factors for the growth of the Hadoop big data analytics market.
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CHAPTER 1 MARKET INTRODUCTION
1.1 Market Definition
1.2 Objective of the Study
1.3 Limitation
1.4 Stakeholders
1.5 Currency used in the Report
1.6 Scope of the Report
CHAPTER 2 RESEARCH METHODOLOGY OR ASSUMPTION
2.1 Research Methodology for Hadoop Big Data Analytics Market Study
2.1.1 Main objective of the Hadoop Big Data Analytics Market Study
CHAPTER 3 REGULATORY FRAMEWORK
CHAPTER 4 NEED FOR HADOOP
CHAPTER 5 INDUSTRY AT A GLANCE
CHAPTER 6 EXECUTIVE SUMMARY
CHAPTER 7 MARKET OVERVIEW
7.1 Introduction
7.2 Market Drivers
7.2.1 Growing Demand of Industrial Internet of Things (IoT) in the Era of Industry
7.2.2 Large Volumes of Unstructured Data
7.2.3 Cost-effective and Fast Data Processing
7.3 Market Restraints
7.3.1 Growing Volume of Unstructured and Decentralized Data Base System in the Industry
7.3.2 Complex & Expensive Features
7.3.3 Increasing Regulatory Issues related to Big Data use in Hadoop System
7.4 Market Opportunities
7.4.1 Driving the Business toward a Data-Driven Model by the Application of Analytics
7.4.2 Data Fusion
7.5 Factor Analysis (Demand & Supply)
7.5.1 Demand Side Analysis
7.5.2 Supply Side Analysis
7.5.2.1 Top Partnerships
7.5.2.2 Top Mergers& Acquisitions
7.5.2.3 Top Funding
7.5.2.4 Top Business Expansions
7.5.2.5 Top Product Launches
7.5.2.6 Top Start ups
7.6 Value Chain Analysis
CHAPTER 8 MARKET INSIGHTS, BY COMPONENT (US$)
8.1 General Introduction
8.1.1 Software
8.1.2 Services
CHAPTER 9 MARKET INSIGHTS, BY APPLICATION (US$)
9.1 General Introduction
9.1.1 Risk & Fraud Analytics
9.1.2 Internet of Things
9.1.3 Customer Analytics
9.1.4 Residential
9.1.5 Security Intelligence
9.1.6 Others
CHAPTER 10 MARKET INSIGHTS, BY END-USER (US$)
10.1 General Introduction
10.1.1 BFSI
10.1.2 IT & Telecommunication
10.1.3 Government & Defense
10.1.4 Manufacturing
10.1.5 Healthcare
10.1.6 Others
CHAPTER 11 MARKET INSIGHTS, BY REGION
11.1 North America Hadoop Big Data Analytics Market
11.1.1 United States
11.1.2 Canada
11.3.3 Rest of North America
11.2 Europe Hadoop Big Data Analytics Market
11.2.1 Germany
11.2.2 United Kingdom
11.2.3 France
11.2.4 Italy
11.2.5 Rest of Europe
11.3 Asia-Pacific Hadoop Big Data Analytics Market
11.3.1 China
11.3.2 Japan
11.3.3 India
11.3.4 Rest of APAC
11.4 Rest of the World Hadoop Big Data Analytics Market
CHAPTER 12 COMPETITIVE SCENARIO
12.1 Porter’s Five forces analysis
12.1.1 Bargaining power of Buyer
12.1.2 Bargaining power of Supplier
12.1.3 Threat of new entrants
12.1.4 Availability of Substitute
12.1.5 Industry Rivalry
12.2 Market Share Analysis, by Company, 2019
12.2.1 Global Hadoop Big Data Analytics Market Share of Major Players, 2019
CHAPTER 13 TOP 10 COMPANY PROFILES
13.1 Cisco Systems Inc
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Key Product/Application Offerings
13.1.4 SWOT Analysis
13.1.5 Key Financials
13.1.5.1 Revenue Split by Region
13.1.5.2 Revenue Split by Products
13.1.6 Recent developments
13.1.6.1 Product Launches
13.1.6.2 Strategic Alliance
13.1.6.3 Business Expansion
13.1.6.4 Merger & Acquisition
13.2 Microsoft Corporation
13.3 IBM Corporation
13.4 Amazon Web Services
13.5 Hitachi Ltd
13.6 Cloud Era Inc
13.7 MapR Technologies Inc
13.8 Teradata Corporation
13.9 MarkLogic
13.10 Tableau Software
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