1.1 Research Scope

1.2 Key Findings

1.3 Research Methodology

2.1 Overview of Big Data

2.2 Big Data Technology Value Chain

2.3 Key Stakeholder Groups in Technology Value Chain

2.4.1 Lack of skilled resources, faster analytics, scalable architecture and information security hindering adoption of Big Data

2.4.2 Lack of adequate data sources, user-friendly interface and in-depth analysis hindering Big Data adoption

3.1 Big Data: Technology Innovation Layers

3.2 SQL Database is Back to Big Data

3.2.1 Companies at the Forefront Introducing SQL to Big Data

3.3 Data Virtualization Facilitating Data Management

3.3.1 Companies at the Forefront of Virtualization

3.4 Transforming Every Object into a Data Source with Internet of Things

3.4.1 Companies at the Forefront of IoT Market

3.5 Enhanced Security for the Cloud Facilitating Big Data Adoption

3.5.1 Companies at the Forefront of IDaaS

3.6 In-memory Helping in Processing Data Faster

3.6.1 Companies at the Forefront of In-memory Computing

3.7 Artificial Intelligence Facilitating Decision Making Process

3.7.1 Companies at the Forefront of AI-based Analytics

3.8 Virtual Reality will Revolutionize Visualization

3.8.1 Companies at the Forefront of Virtual Reality

4.1.1 Human Voice will Facilitate mHealth

4.1.2 Analytics will Help Protect Zero-day Attacks

4.1.3 Next Generation Analytics Assistant will Emerge

4.1.4 Brick-and-mortar Stores will Fight Back

4.1.5 Interactive Analytics will be Simplified

4.1.6 Comprehensive Point-of-care Diagnosis

4.1.7 The User's Brain May Communicate Needs

4.2 Analyst Insights

5.1 List of Contacts

5.1 List of Contacts (continued)

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6.1 The Frost & Sullivan Story

6.2 Value Proposition: Future of Your Company & Career

6.3 Global Perspective

6.4 Industry Convergence

6.5 360º Research Perspective

6.6 Implementation Excellence

6.7 Our Blue Ocean Strategy