Disruptive Big Data Applications in South Africa

Disruptive Big Data Applications in South Africa

Although South Africa is in a nascent phase regarding the adoption of Big Data technologies, industries have begun implementing Big Data solutions for improved operational processes and to find new business opportunities. The key driving forces behind Big Data discussed in this analysis include increased connectivity and Internet usage, for both mobile and machine-to-machine (M2M) communications; growth in cloud services; the continued desire for African insights; and reducing costs associated with Big Data solutions. This analysis focuses on the Big Data solutions market as it stands in 2016, with detailed analyses on industry adoption and uses, as well as the expectations for the market in South Africa.

  • Executive Summary
    • Key Findings
  • Market Overview
    • Research Aim and Objectives
    • Research Scope-Ecosystem
  • What is Big Data?
    • The Characteristics of Big Data
    • Primary Forces Enabling Big Data
    • The Value Chain for Big Data Solutions
  • Data Acquisition
    • Data Acquisition-Overview
    • Data Acquisition-Sources of Big Data
  • Data Management-Storage and Processing
    • Data Storage Options
    • Data Storage-The Shift to Cloud-based Services
    • Data Processing-Batch versus Streamed
  • Data Analytics
    • Data Analytics-Global Snapshot
  • Market Drivers and Restraints
    • Market Drivers
    • Drivers Explained
    • Market Restraints
    • Restraints Explained
  • Industry Outlook
    • Global Big Data Adoption by Industry
    • Big Data Solutions-Automotive and Logistics
    • Big Data Solutions-Extractive Industries
    • Big Data Solutions-Telecommunications
    • Big Data Solutions-Healthcare
    • Big Data Solutions-Retail
    • Big Data Solutions-Public Sector
    • Big Data Solutions-Financial Services and Insurance
    • Big Data Solutions-Entertainment Industry
    • Innovative Participants in the South African Market
  • The Outlook for Big Data Solutions in South Africa
    • Introducing the SKA
    • Applying the Big Data Value
    • The Impact of the PoPI Act
    • Incorporating Machine Learning and Artificial Intelligence (AI)
  • Conclusion
    • Conclusions-The Last Word
  • Appendix
    • Research Acronyms
    • Research Acronyms-Measures of Data Size
      • Table Research Acronyms-Measures of Data Size

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