The "African Artificial Intelligence (AI) Market, 2016" report has been added to Research and Markets' offering.

This study provides an analysis of the African Artificial Intelligence (AI) market. The stakeholder scope includes international technology corporations and African start-ups; technology scope includes computer vision, deep learning, machine learning, natural language processing, neural networks, predictive analytics, and robotics; and the end-user scope includes a number of industries such as banking and financial services and insurance (BFSI), healthcare, manufacturing, mining, hospitality and media, amongst others.

This study details the key components of an AI ecosystem and explains how AI converges with technologies such as analytics, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR). It provides a snapshot of global AI trends in terms of key investments, strategy and competition, and also lists the acquisition-led strategies adopted by leading technology corporations including Google, Apple, Microsoft, Intel, Facebook, Salesforce and IBM.

Key Issues Addressed

  • What are the main components in an AI ecosystem? How does it converge with analytics, IoT, AR and VR?
  • What are the key global trends in terms of competition, strategy and investments?
  • What are the key market drivers and restraints for the development of the AI market in Africa?
  • How are emerging international leaders like IBM and Cisco advancing in the AI market?
  • Who are the innovative African start-ups disrupting the AI market and what do they do?
  • How is the African AI market growing in terms of market development, competition, impact potential and extent of adoption across industries?
  • What are the key trends shaping the African AI market?
  • What are the ethical dilemmas concerning AI in Africa?
  • How is AI addressing African regional issues and which are the companies developing these solutions?
  • What are the potential growth opportunities in Africa that businesses can capitalise on to improve performance and stay competitive?

Key Topics Covered:

1. Executive Summary

2. Market Definitions

3. Ai Market - Research Perspective

4. Global Ai Market - An Overview

5. Drivers And Restraints

6. Analysis Of The African Ai Market

7. Industry Landscape - Powerful Examples Of Emerging International Ai Leaders In Africa

8. Start-Up Landscape - Market Insights And Competition

9. Ai Solutions Addressing Regionally Relevant Issues

10. Key Market Trends

11. Ethical Dilemmas Concerning Ai

12. Growth Opportunities And Enterprises To Action

13. The Last Word

14. Appendix

Companies Mentioned

  • Cisco
  • IBM

For more information about this report visit https://www.researchandmarkets.com/research/dkrnwr/african?w=4