Information Technology

Disruptive Big Data Applications in South Africa

Assessing the Use of Big Data Solutions in Local Industries


RELEASE DATE
19-Aug-2016
REGION
Africa
DELIVERABLE TYPE
Market Research

RESEARCH CODE
MC75-01-00-00-00
SKU
IT03126-AF-MR_18905
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Disruptive Big Data Applications in South Africa
Published on: 19-Aug-2016 | SKU: IT03126-AF-MR_18905

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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.

Key Findings

Research Aim and Objectives

Research Scope—Ecosystem

The Characteristics of Big Data

Primary Forces Enabling Big Data

  • Primary Characteristics of Big Data
  • Secondary Characteristics of Big Data

The Value Chain for Big Data Solutions

Overview

Sources of Big Data

Data Storage Options

Data Storage—The Shift to Cloud-based Services

Data Processing—Batch versus Streamed

Data Analytics

Data Analytics—Global Snapshot

Market Drivers

Market Restraints

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

Introducing the SKA

Applying the Big Data Value

The Impact of the PoPI Act

Incorporating Machine Learning and Artificial Intelligence (AI)

The Last Word

Legal Disclaimer

Research Acronyms

Research Acronyms—Measures of Data Size

List of Figures
  • 1. Big Data Solutions Market: Market Drivers, South Africa, 2016–2022
  • 2. Big Data Solutions Market: Market Restraints, South Africa, 2016–2022
  • 3. SKA Data Analysis Process, South Africa, 2016
  • 4. Convergence Between Machine Learning, AI, and Big Data, Global, 2016
List of Charts
  • 1. Big Data Ecosystem, Global, 2016
  • 2. Major ICT Trends, Global, 2016
  • 3. Big Data Value Chain, Global, 2016
  • 4. Big Data Value Chain Explained, Global, 2016
  • 5. Big Data Solutions Market: Notable Participants, South Africa, 2016
  • 6. The Complexity of Data, Global, 2016
  • 7. Big Data Sources, South Africa, 2010–2020
  • 8. Batch or Stream Data Processing, Global, 2016
  • 9. Four Types of Data Analytics, Global, 2016
  • 10. Data Analytics Market: Per cent Revenue Breakdown, Global, 2015
  • 11. Big Data Solutions Market: Revenue Breakdown by Vertical Market, Global, 2014

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