Press release
Top Companies Analysis : Hadoop Big Data Analytics Market by 2025: Leading Companies (IBM, SAP, Amazon Web Services, Pentaho, Tableau Software, Microsoft, Teradata, Cloudera) Set to Reach US$ 198.76 billion, at 46% CAGR during 2019-2025
2019-2025 Hadoop Big Data Analytics Market
The Global Hadoop Big Data Analytics Market was valued at USD 6.86 billion in 2016 and is projected to reach USD 198.76 billion by 2025, growing at a CAGR of 45.36% from 2017 to 2025.
Competitive Landscape:
The major players in the Hadoop Big Data Analytics market are as follows:
1. IBM Corporation
2. SAP SE
3. Amazon Web Services (AWS)
4. Pentaho Corporation
5. Tableau Software, Inc.
6. Microsoft Corporation
7. Pivotal Software, Inc.
8. Teradata Corporation
9. Cloudera, Inc.
10. Marklogic Corporation
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Hadoop is a distributed processing technology used for Big Data analysis. Big data analytics refers to the strategy of analyzing large volumes of data, or big data. To maximize the value of traditional and multi-structured data assets, companies need to deploy technologies that integrate Hadoop and relational database systems. Hadoop provides several benefits for big data analytics which includes – high scalability, cost effectiveness, flexible, fast processing, and is resilient to failure.
Market Dynamics:
1. Market Drivers
1.1 Need to increase operational efficiency and affordable business processes
1.2 Innovation in technologies drives business growth
1.3 Emergence of IoT and big data
1.4 Rising need for big data analytics
2. Market Restraints
2.1 Concerns for data security on hadoop big data platform
2.2 Lack of technical expertise
2.3 Increasing variety of data
Market Segmentation:
The Global Hadoop Big Data Analytics Market is segmented on the application, component, vertical, and region.
1. Application:
1.1 Distributed Coordination Service
1.2 Risk & Fraud Analytics
1.3 Customer Analytics
1.4 Merchandizing & Supply Chain Analytics
1.5 Operational Intelligence
1.6 Internet of Things
1.7 Offloading Mainframe Application
1.8 Security Intelligence
1.9 Linguistic Analytics
2. By Deployment Mode:
2.1 Cloud-based
2.2 On-premises
3. By Component:
3.1 Software
3.1.1 Performance Monitoring Software
3.1.2 Management Software
3.1.3 Packaged Software
3.1.4 Application Software
3.2 Services
3.2.1 Consulting & Development Services
3.2.2 Training & Support Services
3.2.3 Admin & Managed Services
4. By Vertical:
4.1 Healthcare
4.2 Government and Defense
4.3 IT and Telecom
4.4 Education and Research
4.5 Transportation and SCM
4.6 Retail and Consumer Goods
4.7 Manufacturing
4.8 Others
5. By Region:
5.1 North America (U.S., Canada, Mexico)
5.2 Europe (Germany, UK, France, Rest of Europe)
5.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
5.4 Latin America (Brazil, Argentina, Rest of Latin America)
5.5 Middle East & Africa
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These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.
RESEARCH METHODOLOGY OF DECISION MARKET REPORTS:
Research study on the Global Hadoop Big Data Analytics Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.
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Table of Content
INTRODUCTION OF GLOBAL HADOOP BIG DATA ANALYTICS MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources
4 GLOBAL HADOOP BIG DATA ANALYTICS MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework
5 GLOBAL HADOOP BIG DATA ANALYTICS MARKET , BY APPLICATION
5.1 Overview
5.2 Distributed Coordination Service
5.3 Risk & Fraud Analytics
5.4 Customer Analytics
5.5 Merchandizing & Supply Chain Analytics
5.6 Operational Intelligence
5.7 Internet of Things
5.8 Offloading Mainframe Application
5.9 Security Intelligence
5.10 Linguistic Analytics
6 GLOBAL HADOOP BIG DATA ANALYTICS MARKET , BY DEPLOYMENT MODE
6.1 Overview
6.2 Cloud-based
6.3 On-premises
7 GLOBAL HADOOP BIG DATA ANALYTICS MARKET , BY COMPONENT
7.1 Overview
7.2 Software
7.2.1 Performance Monitoring Software
7.2.2 Management Software
7.2.3 Packaged Software
7.2.4 Application Software
7.3 Services
7.3.1 Consulting & Development Services
7.3.2 Training & Support Services
7.3.3 Admin & Managed Services
8 GLOBAL HADOOP BIG DATA ANALYTICS MARKET , BY VERTICAL
8.1 Overview
8.2 Healthcare
8.3 Government and Defense
8.4 IT and Telecom
8.5 Education and Research
8.6 Transportation and SCM
8.7 Retail and Consumer Goods
8.8 Manufacturing
8.9 Others
9 GLOBAL HADOOP BIG DATA ANALYTICS MARKET , BY GEOGRAPHY
9.1 Overview
9.2 North America Regional Market Estimates and Forecasts, 2012 – 2025
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe Regional Market Estimates and Forecasts, 2012 – 2025
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 – 2025
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Latin America Regional Market Estimates and Forecasts, 2012 – 2025
9.5.1 Brazil
9.5.2 Argentina
9.6 Rest of the World Regional Market Estimates and Forecasts, 2012 – 2025
10 GLOBAL HADOOP BIG DATA ANALYTICS MARKET COMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Share
10.3 Vendor Landscape
10.4 Key Development Strategies
11 COMPANY PROFILES
11.1 IBM Corporation
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments
11.2 SAP SE
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments
11.3 Amazon Web Services (AWS)
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments
11.4 Pentaho Corporation
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments
11.5 Tableau Software, Inc.
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments
11.6 Microsoft Corporation
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments
11.7 Pivotal Software, Inc.
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments
11.8 Teradata Corporation
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments
11.9 Cloudera, Inc.
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments
11.10 Marklogic Corporation
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments
12 Appendix
12.1 Related Reports
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