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Smart Cities of Africa, Forecast to 2030

  • ID: 4030535
  • Report
  • December 2016
  • Region: Africa
  • 139 pages
  • Frost & Sullivan
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Analysis of the Development of Greenfield and Brownfield Smart Cities Across Africa, According to Initiatives Based on 8 Frost & Sullivan Smart City Parameters
This study focuses on giving an in-depth overview of the profiled cities, according to the development of initiatives aligned to the 8 Smart City parameters. These parameters include:

- Smart Government
- Smart Citizens
- Smart Energy
- Smart Mobility
- Smart Healthcare
- Smart Infrastructure
- Smart Buildings
- Smart Technology

Leading factors driving the development of Smart Cities are assessed and include:

- Improved Resource Management
- Rapid Urbanisation
- Economic Benefits and Job Creation
- Significant Stakeholder Support

Leading restraining factors are also assessed and include:

- Lack of Appropriate Skills
- Lack of Funding and Capital Investment
- Lack of Stakeholder Support
- Legacy Systems and Infrastructure

The study gives an overview of different funding models available to develop Smart Cities, as well as highlights the roles of major actors in the development of Smart Cities.

Greenfield Smart Cities profiled include:

- Konza Techno City
- Modderfontein Smart City
- HOPE City
- Abuja Centenary City

Brownfield Smart Cities profiled include:

- Johannesburg
- Tshwane
- Cape Town
- Nairobi
- Accra
- Lagos
- Kigali
Note: Product cover images may vary from those shown
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Executive Summary
  • Key Findings
Market Overview
  • Research Aim and Objectives
  • Research Scope-Ecosystem
  • Regional Scope
Defining a Smart City
  • Smart City ‘Diamond’
  • Smart Diamond Explained
Smart City Business Models
  • Smart City Business Models
  • Typical Smart Infrastructure Operating Model
  • Typical Smart Infrastructure Operating Model Explained
Types of Smart Cities
  • Smart City Projects
  • Types of African Smart Cities
Roles within Smart Cities
  • Typical Roles within a Smart City
Smart City Funding Mechanisms
  • Smart City Funding Mechanisms
  • Greenfield Smart City Funding in Africa
Global Smart Cities Market Revenue Opportunities
  • Market Segmentation and Revenue Opportunities
Future Smart Cities in SSA
  • Future Smart Cities in SSA
Market Drivers and Restraints
  • Drivers
  • Drivers Explained
  • Restraints
  • Restraints Explained
Smart City Matrix Scoring
  • Smart City Matrix Scoring
South Africa
  • South Africa-Statistical Overview
  • Johannesburg-Statistical Overview
  • Johannesburg-Smart City Matrix Explained
  • Key Initiatives-Johannesburg
  • Tshwane-Statistical Overview
  • Tshwane-Smart City Matrix Explained
  • Key Initiatives-Tshwane
Cape Town
  • Cape Town-Statistical Overview
  • Cape Town-Smart City Matrix Explained
  • Key Initiatives-Cape Town
Modderfontien Smart City
  • Modderfontein-Statistical Overview
  • Modderfontein-Smart City Matrix Explained
  • Kenya-Statistical Overview
  • Nairobi-Statistical Overview
  • Nairobi-Smart City Matrix Explained
  • Key Initiatives-Nairobi
Konza Techno City
  • Konza Techno City-Statistical Overview
  • Konza Techno City-Smart City Matrix Explained
  • Key Initiatives-Konza Techno City
  • Rwanda-Statistical Overview
  • Kigali-Statistical Overview
  • Kigali-Smart City Matrix Explained
  • Key Initiatives-Kigali
  • Nigeria-Statistical Overview
  • Lagos-Statistical Overview
  • Lagos-Smart City Matrix Explained
  • Key Initiatives-Lagos
Abuja Centenary City
  • Abuja/Abuja Centenary City-Statistical Overview
  • Abuja-Smart City Matrix Explained
  • Key Initiatives-Abuja Centenary City
  • Ghana-Statistical Overview
  • Accra-Statistical Overview
  • Accra-Smart City Matrix Explained
  • Key Initiatives-Accra
Hope City
  • Hope City-Statistical Overview
  • Hope City-Smart City Matrix Explained
  • Conclusions-3 Big Predictions
  • Legal Disclaimer
  • Research Acronyms
Note: Product cover images may vary from those shown