Big Data - Thematic Research

Big Data - Thematic Research

Summary

Today’s digital economy is powered by data. It is produced in abundance by both individuals and enterprises and stored in vast data centers, some of which cover hundreds of thousands of square feet. Several prominent businesspeople and a number of leading publications have described data as the new oil, capable of generating significant value if used in the right way.

The challenge for enterprises is not collecting data - unlike oil, data is not scarce, nor is it difficult to extract - but deriving actionable insights from the wealth of information that they accumulate on a daily basis. This is where big data technologies come in, with their ability to handle extremely large, diverse data sets that, when analyzed, can reveal patterns, trends, and associations, especially relating to human behavior and interactions.

Companies that fail to derive actionable insights from the wealth of data that they possess will struggle to compete with rivals using diverse data sets to gain a deeper understanding of their customers and marketplace.

Scope

  • This report focuses on the seven key technologies within the big data theme, and the leaders in each of these technologies.
  • It highlights the main trends over the next 12 to 24 months, classifying these trends into five categories - data trends, technology trends, data center trends, macroeconomic trends, and regulatory trends.
  • The report also provides an industry analysis and examines the big data value chain.
  • It uses scorecards to identify the leading companies in a sector.
  • It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.
Reasons to buy
  • Big data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling.
  • This report analyzes the opportunities available to companies that harness the power of big data.
  • It also highlights the need to tailor their approach to their own specific requirements and use cases.


  • Introduction
  • Players
    • Table Figure 1: Who are the key players in the big data industry and where do they sit in the value chain?
  • Technology briefing
    • The age of distraction
      • Table Figure 2: V4: The four dimensions of big data
      • Quantifying big data
        • Table Figure 3: The digital unit scale
        • Table Figure 4: The volume of data traffic has risen sharply
        • Table Figure 5: As the volume of data traffic has risen, the cost of computing has plummeted
  • Trends
    • Data trends
      • Table Data trends
    • Technology trends
      • Table Technology trends
    • Data center trends
      • Table Data center trends
    • Macroeconomic trends
      • Table Macroeconomic trends
    • Regulatory trends
      • Table Regulatory trends
  • Industry analysis
    • A variety of trends are driving growth in big data
      • Table Figure 6: Mobile broadband data traffic will grow at a CAGR of 25% between 2018 and 2024
    • The mobile revolution is spreading all the way up to the data center
    • Optimizing latency is the biggest challenge facing hyperscale data centers
    • The fireworks are largely at the software level
    • SDN could turn the industry upside down
    • Mergers and acquisitions
      • Table Mergers and acquisitions
    • Timeline
      • Table Figure 7: The big data story
  • Value chain
    • Table Figure 8: Big data needs to be reliable, robust and secure
    • Big data generation
    • Big data management
      • Data governance and security
        • Table Figure 9: Data governance and security: leaders and challengers
      • Business intelligence
        • Table Figure 10: BI: leaders and challengers
      • Data analysis
        • Table Figure 11: Data analysis: leaders and challengers
      • Data storage
        • Table Figure 12: Data storage: leaders and challengers
      • Data processing
        • Table Figure 13: Data processing: leaders and challengers
      • Data aggregation
        • Table Figure 14: Data aggregation: leaders and challengers
      • Data integration
        • Table Figure 15: Data integration: leaders and challengers
    • Big data product development
    • Big data consumption
  • Companies
    • Public companies
      • Table Public companies
    • Private companies
      • Table Private companies
  • Sector scorecards
    • IT services sector scorecard
      • Who's who
        • Table Figure 16: Who does what in the IT services space?
      • Thematic screen
        • Table Figure 17: Thematic screen
      • Valuation screen
        • Table Figure 18: Valuation screen
      • Risk screen
        • Table Figure 19: Risk screen
    • Application software sector scorecard
      • Who's who
        • Table Figure 20: Who does what in the application software space?
      • Thematic screen
        • Table Figure 21: Thematic screen - Application software sector
      • Valuation screen
        • Table Figure 22: Valuation screen - Application software sector
      • Risk screen
        • Table Figure 23: Valuation screen - Application software sector.
  • Glossary
    • Table Glossary
  • Appendix: Our thematic research methodology
    • Viewing the world's data by themes makes it easier to make important decisions
    • Traditional research does a poor job of picking winners and losers
    • That is why we developed our "thematic engine"
    • How do we create our sector scorecards?
      • Table Figure 24: Our five-step approach for generating a sector scorecard
    • What is in our sector scorecards?
    • How do we score companies in our thematic screen?
    • How our research reports fit into our overall thematic research ecosystem
    • About GlobalData
    • Contact us
    • Disclaimer

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