CHAPTER 1. INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2. RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3. MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4. MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Increasing large volumes of unstructured data
4.1.2. Rising demand for data analytics
4.1.3. Cost-effective and fast data processing
4.2. Market Restraints & Challenges
4.2.1. Increasing architecture security issues
4.2.2. Rising distributed computing
4.2.3. Access to data and fragmented data
4.2.4. Lack of skilled labour
4.3. Market Opportunities
4.3.1. Emerging partnerships and mergers in Hadoop Market
4.3.2. Increasing data fusion
CHAPTER 5. GLOBAL HADOOP MARKET – BY TYPE
5.1. Hardware
5.1.1. Servers
5.1.1.1. Grid Extensions
5.1.1.2. HDFS auxiliary
5.1.1.3. HDFS Core
5.1.2. Storage
5.1.2.1. One Terabyte
5.1.2.2. One Petabyte
5.1.2.3. Ten Petabyte and more
5.1.3. Network and equipment
5.2. Software
5.2.1. Application Software
5.2.2. Packaged Software Management
5.2.3. Management Software
5.2.4. Performance Monitoring Software
5.3. Service
5.3.1. Integration and Deployment
5.3.2. Consulting, Training, and Outsourcing
5.3.3. Middleware and Support Services
CHAPTER 6. GLOBAL HADOOP MARKET – BY END-USER
6.1. BFSI
6.2. Government Sector
6.3. Media & Entertainment
6.4. Healthcare
6.5. Telecommunication & IT
6.6. Retails
6.7. Trade & Transportation
6.8. Manufacturing
6.9. Natural Resource
6.10. Others
CHAPTER 7. GLOBAL HADOOP MARKET - BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. U.S.
7.2.2. Canada
7.2.3. Mexico
7.2.4. Costa Rica
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Chile
7.3.4. Columbia
7.3.5. Others
7.4. Europe
7.4.1. U.K.
7.4.2. Germany
7.4.3. France
7.4.4. Italy
7.4.5. Spain
7.4.6. Russia
7.4.7. Netherlands
7.4.8. Switzerland
7.4.9. Poland
7.4.10. Others
7.5. APAC
7.5.1. China
7.5.2. Japan
7.5.3. India
7.5.4. South Korea
7.5.5. Australia & New Zealand
7.5.6. Malaysia
7.5.7. Singapore
7.5.8. Others
7.6. Middle East & Africa
7.6.1. UAE
7.6.2. Saudi Arabia
7.6.3. Iran
7.6.4. Iraq
7.6.5. Qatar
7.6.6. South Africa
7.6.7. Algeria
7.6.8. Morocco
7.6.9. Nigeria
7.6.10. Egypt
7.6.11. Others
CHAPTER 8. GLOBAL HADOOP MARKET - COMPANY PROFILES
8.1. Cisco Systems, Inc.
8.2. Amazon Web Services Inc.
8.3. Cloudera, Inc.
8.4. Datameer, Inc.
8.5. Hortonworks Inc.
8.6. Karmasphere, Inc.
8.7. MAPR Technologies Inc.
8.8. Pentaho (Hitachi Vantara Corporation)
8.9. Teradata Corporation
8.10. MarkLogic Corporation
8.11. IBM Corporation
8.12. OpenX Company
8.13. Oracle Corporation
8.14. Microsoft Corporation
8.15. EMC Corporation
CHAPTER 9. GLOBAL HADOOP MARKET - COMPETITIVE LANDSCAPE
9.1. Market Share Analysis
9.2. Strategies adopted by top companies
9.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 10. MARKET INSIGHTS
10.1. Industry Experts Insights
10.2. Analysts Opinions
10.3. Investment Opportunities
CHAPTER 11. APPENDIX
11.1. List of Tables
11.2. List of Figures
