African Artificial Intelligence (AI) Market, 2016

African Artificial Intelligence (AI) Market, 2016

Chatbots Central to Developing an Intelligently Automated Service Delivery Model

RELEASE DATE
29-Nov-2017
REGION
Africa
Research Code: MD93-01-00-00-00
SKU: IT03543-AF-MR_21197

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Description

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.

This study provides an analysis of the African AI market, including the competitive landscape and the extent of AI market development across key African countries, along with the impact potential and extent of market penetration of various AI technologies and the degree of AI adoption across key industry verticals. It also gives an overview of the future trajectory of AI technologies adoption in Africa. It also offers a snapshot of the AI-powered business applications in Africa; and the key consumers of AI solutions across leading industry verticals. Further, it identifies the key market drivers and restraints that are urging businesses to adopt AI and analyses the key market trends that are prompting businesses in Africa to adopt AI. Moreover, this study discusses the product portfolio and acquisition-driven strategy of emerging international AI leaders like Cisco and IBM in the AI context. It throws light on the start-up landscape in some key African countries, along with the solutions offered, technologies adopted and industries impacted. The study also explains some of the key AI solutions that are addressing regionally relevant issues in the content. It explores key growth opportunities that businesses will look to invest in and the strategic initiatives they will adopt to accelerate their AI journey. It also throws light on the key predictions for the South African AI market, in terms of consumption and technological advancements.

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?

RESEARCH: INFOGRAPHIC

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Table of Contents

Key Findings

Market Definitions

Market Definitions (continued)

Market Definitions (continued)

Research Scope

Key Questions this Study will Answer

Topical Areas Within AI

AI Technologies and Use Cases

AI Components and Ecosystem

AI—The Cornerstone of Analytics

Why and How AI will Help Unlock the Full Potential of IoT?

Why will AI with AR and VR be the Next Big Thing?

The AI Maturity Continuum

Positioning of Key Global Providers on the AI Maturity Continuum

AI—Global Competitive Landscape

Key Global AI Investment Trends

Key Global External AI Investments Technology-Wise

Strategy Adopted by Global Technology Corporations

Key Market Drivers

Key Market Restraints

Why are Businesses Adopting AI?

How are Businesses Looking to Realise Value from Adopting AI?

Degree of AI Development across Key African Countries

AI-powered Business Applications Landscape

Degree of AI Adoption across Key Industries

Impact Potential of AI across Industries and Use Cases

Key AI Consumers across Leading Industry Verticals

Positioning of Key Providers on the AI Maturity Continuum

AI Technologies—Market Penetration Analysis

Future Trajectory of AI Technologies Adoption in Africa

Cisco—Product Portfolio and Acquisitions

IBM—Product Portfolio and Acquisitions

Competitive Start-up Landscape

Key AI Start-ups in South Africa

Key AI Start-ups in South Africa (continued)

Key AI Start-ups in Egypt, Nigeria and Zimbabwe

AI-based Solutions Addressing Regionally Relevant Problems

Trend 1—Chatbots as a Customer Communication Channel

Trend 1—Chatbots as a Customer Communication Channel (continued)

Trend 2—Rising Investments in Computer Vision and NLP Technologies

Trend 3—Surge in AI Adoption in the Banking and Financial Services and Insurance Industry

Trend 4—AI is Not Only the New BI But Also the New UI

Trend 4—AI is Not Only the New BI But Also the New UI (continued)

Ethical Dilemmas Concerning AI

Growth Opportunity 1—Mobile-based Services

Growth Opportunity 2—Bots and Automated Messaging

Strategic Imperatives for Success and Growth

The Last Word—3 Big Predictions

Legal Disclaimer

Abbreviations

List of Exhibits

List of Exhibits (continued)

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Related Research
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. This study provides an analysis of the African AI market, including the competitive landscape and the extent of AI market development across key African countries, along with the impact potential and extent of market penetration of various AI technologies and the degree of AI adoption across key industry verticals. It also gives an overview of the future trajectory of AI technologies adoption in Africa. It also offers a snapshot of the AI-powered business applications in Africa; and the key consumers of AI solutions across leading industry verticals. Further, it identifies the key market drivers and restraints that are urging businesses to adopt AI and analyses the key market trends that are prompting businesses in Africa to adopt AI. Moreover, this study discusses the product portfolio and acquisition-driven strategy of emerging international AI leaders like Cisco and IBM in the AI context. It throws light on the start-up landscape in some key African countries, along with the solutions offered, tech
More Information
No Index No
Podcast No
Author Deepti Dhinakaran
Industries Information Technology
WIP Number MD93-01-00-00-00
Is Prebook No
GPS Codes 9658,9705-C1,9820-C1,9A37-C1,9AA5-C1