AI has been a research topic as long as computers have been in existence, but it is only in the past couple of years that AI has come to present real business opportunities. It is now attracting the attention of both the largest multinationals and innovative startups as well as investors. Meanwhile, the possible applications for AI are burgeoning and becoming all-encompassing.
The Guide to the Artificial Intelligence Industry is the first report to focus on the business potential of AI, where the money will be made and where it will be lost. This report begins with a discussion of all the major applications (emerging and current) and for each application discusses who are the main companies active in the field. Also included are market forecasts for each application and type of technology.
Table of Contents
CHAPTER 1: WHY THIS GUIDE?
CHAPTER 2: AI MARKET: EVOLUTION AND STRUCTURE
- An AI Market Overview
- AI Products and AI Innovation
- Thoughts on Training
- Beware Unrealistic Market Sizing
- A Very Brief History of AI
- The Future of AI
CHAPTER 3: 20 AI COMPANIES
- AiCur
- Amazon/AWS
- Anthropic
- Apple
- Arista Networks
- ARM Limited
- Baidu
- Enlitic
- Google/Alphabet
- Google DeepMind Technologies
- H20.ai
- HyperVerge
- IBM
- Intel
- Meta
- Microsoft
- NVIDIA
- OpenAI
- TSMC
- SAP
CHAPTER 4: AI MARKETS: OPPORTUNITIES AND SEGMENTATION
- AI Market Segmentation
- Types of AI Reasoning
- Foundational AI and Narrow AI
- Segmentation by Functionality
- AI Technologies
- Expert Systems
- Artificial General Intelligence (AGI)
CHAPTER 5: AI CHIPS
- Towards an AI Chip Sector
CHAPTER 6: APPLICATIONS AND BUSINESS CASES FOR AI
- Wealth of AI Applications
- AI, the Internet and other Networks
- Advertising and Media
- Banking and Financial Services
- Healthcare and Medical
- Pharmaceutical Industry
- Other Industries where AI may find Wide Use
CHAPTER 7: AI MARKET FORECASTS
- Thoughts on Forecasting In the AI Sector
- Types of AI Products And Forecast Assumptions
- Type of AI Technology
CHAPTER 8: FUNDING AI BUSINESSES
- The Role of VCs in the AI Business
- Government Funding for AI
Chapter 9: AI: LEGAL AND REGULATED
- Types of AI Law and Regulation
- The Biden Executive Order
- AI Safety Events
- Problems with AI Regulation
APPENDIX I: Nine Key Opportunities in the AI Sector
APPENDIX II: Seven AI Books to Read Now
LIST OF EXHIBITS
Exhibit 2-1: Selected Sources of AI Product/Technology Innovation
Exhibit 2-2: Examples of AI in Modern Film and TV and its Implications
Exhibit 2-3: Current Drivers for the AI Revolution
Exhibit 3-1: AI and the Information Technology Giants
Exhibit 3-2: Google AI Businesses
Exhibit 3-3: Evolution of OpenAI
Exhibit 4-1: AI Market Segments
Exhibit 4-2: Evolution of AI Reasoning and Problem Solving
Exhibit 4-3: Modalities of Natural Language Processing
Exhibit 4-4: Opportunities and Developments in Large Language Models
Exhibit 4-5: Selected AI-based Image and Video Processing
Exhibit 4-6: Types of ML Learning
Exhibit 4-7: Selected Applications of Neural Networks
Exhibit 5-1: AI Chip Players
Exhibit 5-2: AI Chip Types
Exhibit 6-1 Opportunities for AI in the Internet/Web Networks
Exhibit 6-2: AI Applications in Healthcare and Medical
Exhibit 7-1: Forecasts of the AI Products ($ Billions)
Exhibit 7-2: Forecasts of AI Technologies ($ Billions)
Exhibit 8-1: Selected AI-related Activity by Major VCs
Exhibit 9-1: Selected Aspects of AI Safety and Security
Exhibit A1-1: Nine Near-to-Medium Term AI Opportunities
Companies Mentioned
- AiCur
- Amazon/AWS
- Anthropic
- Apple
- Arista Networks
- ARM Limited
- Baidu
- Enlitic
- Google/Alphabet
- Google DeepMind Technologies
- H20.ai
- HyperVerge
- IBM
- Intel
- Meta
- Microsoft
- NVIDIA
- OpenAI
- TSMC
- SAP
