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市場調查報告書

非洲的人工智慧市場:2016年

African Artificial Intelligence (AI) Market, 2016

出版商 Frost & Sullivan 商品編碼 596061
出版日期 內容資訊 英文 76 Pages
商品交期: 最快1-2個工作天內
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非洲的人工智慧市場:2016年 African Artificial Intelligence (AI) Market, 2016
出版日期: 2017年11月29日 內容資訊: 英文 76 Pages
簡介

本報告以非洲的人工智慧市場為焦點,提供其分析資訊。市場在供給方面定位於國際技術企業及非洲的新興企業,終端用戶方面則特別定位於銀行及金融服務·保險業(BFSI),醫療保健,製造,礦業,飯店,媒體等行業。其技術範圍廣及電腦視覺處理,深層學習,機器學習,自然語言處理,神經電路網,預測分析(Predictive Analytics),機器人技術等。所提供的分析資訊包含了AI系統的主要的結構要素,「物聯網」(IoT),擴增實境(AR),虛擬實境(VR)及其他新技術的整合情形,投資情形,競爭環境等。

第1章 摘要整理

  • 重要發現
  • 重要發現(續)

第2章 市場定義

  • 市場定義
  • 市場定義(續)
  • 市場定義(續)

第3章 人工智慧市場 - 調查的整體情況

  • 調查範圍
  • 該調查應闡明的主要疑問點
  • AI的話題領域
  • AI的技術和利用案例
  • AI的結構要素和生態系統
  • AI - 分析的基石
  • 為什麼和AI如何幫助解鎖物聯網的全部潛力?
  • 為什麼人工智能與AR和VR是下一個焦點

第4章 AI的全球市場 - 概要

  • 人工智能連續體
  • 全球主要供應商在AI連續性方面的定位
  • AI - 全球競爭環境
  • 全球主要AI投資趨勢
  • 全球主要國外AI技術投資
  • 全球的技術企業採用的對策

第5章 推動·阻礙因素

  • 主要市場推動要素
  • 主要的阻礙市場要素

第6章 非洲市場分析

  • 企業導入AI的理由
  • 企業如何通過採用AI來實現價值?
  • 主要非洲各國整體的AI發展度
  • 人工智能的商業應用景觀
  • 各主要行業採用人工智能的程度
  • AI在行業和用例上的潛在影響
  • 有力行業整體的主要AI客戶
  • 密鑰提供者在AI連續體上的定位
  • AI技術 - 市場滲透度分析
  • 人工智能技術在非洲應用的未來軌跡

第7章 在產業環境 - 非洲的國際AI企業代表性案例

  • Cisco - 產品系列與事業收購
  • IBM - 產品系列與事業收購

第8章 創辦企業環境 - 市場考察與競爭

  • 新加入企業的競爭環境
  • 南非的主要新興AI企業
  • 南非的主要新興AI企業(續)
  • 埃及,奈及利亞,辛巴威的主要新興AI企業

第9章 解決地區特有問題的AI解決方案

  • 解決地區特有問題的AI解決方案

第10章 市場重要趨勢

  • 趨勢 1 - 客戶通訊頻道的聊天機器人
  • 趨勢 1 - 客戶通訊頻道的聊天機器人(續)
  • 趨勢 2 - 電腦視覺處理及自然語言處理技術的投資擴大
  • 趨勢 3 - AI引進急速擴大的銀行,金融服務·保險產業
  • 趨勢 4 - AI(人工智能)不僅是新的商務智能,也是新的用戶界面
  • 趨勢 4 - AI(人工智能)不僅是新的商務智能,也是新的用戶界面(續)

第11章 AI的道德困境

  • AI的道德困境

第12章 成長機會及企業的行動

  • 成長機會 1 - 移動體利用的服務
  • 成長機會 2 - 機器人和自動訊息
  • 成功·成長的必需策略

第13章 結論

  • 結論 - 3個大預言
  • 免責聲明

第14章 附錄

  • 簡稱集
  • 參考資料一覽
  • 參考資料一覽(續)

第15章 FROST & SULLIVAN

目錄
Product Code: MD93-72

Chatbots Central to Developing an Intelligently Automated Service Delivery Model

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?

Table of Contents

1. EXECUTIVE SUMMARY

  • Key Findings
  • Key Findings (continued)

2. MARKET DEFINITIONS

  • Market Definitions
  • Market Definitions (continued)
  • Market Definitions (continued)

3. AI MARKET-RESEARCH PERSPECTIVE

  • 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?

4. GLOBAL AI MARKET-AN OVERVIEW

  • The AI Continuum
  • Positioning of Key Global Providers on the AI Continuum
  • AI-Global Competitive Landscape
  • Key Global AI Investment Trends
  • Key Global External AI Investments Technology-Wise
  • Strategy Adopted by Global Technology Corporations

5. DRIVERS AND RESTRAINTS

  • Key Market Drivers
  • Key Market Restraints

6. ANALYSIS OF THE AFRICAN AI MARKET

  • 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 Continuum
  • AI Technologies-Market Penetration Analysis
  • Future Trajectory of AI Technologies Adoption in Africa

7. INDUSTRY LANDSCAPE-POWERFUL EXAMPLES OF EMERGING INTERNATIONAL AI LEADERS IN AFRICA

  • Cisco-Product Portfolio and Acquisitions
  • IBM-Product Portfolio and Acquisitions

8. START-UP LANDSCAPE-MARKET INSIGHTS AND COMPETITION

  • 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

9. AI SOLUTIONS ADDRESSING REGIONALLY RELEVANT ISSUES

  • AI-based Solutions Addressing Regionally Relevant Problems

10. KEY MARKET TRENDS

  • 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)

11. ETHICAL DILEMMAS CONCERNING AI

  • Ethical Dilemmas Concerning AI

12. GROWTH OPPORTUNITIES AND ENTERPRISES TO ACTION

  • Growth Opportunity 1-Mobile-based Services
  • Growth Opportunity 2-Bots and Automated Messaging
  • Strategic Imperatives for Success and Growth

13. THE LAST WORD

  • The Last Word-3 Big Predictions
  • Legal Disclaimer

14. APPENDIX

  • Abbreviations
  • List of Exhibits
  • List of Exhibits (continued)

15. THE FROST & SULLIVAN STORY

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
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