1. INTRODUCTION
1.1. Market Definition
1.2. Market Segmentation
2. RESEARCH METHODOLOGY
2.1. Research Data
2.2. Assumptions
3. EXECUTIVE SUMMARY
3.1. Research Highlights
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Force Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
5. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning
5.3. Machine Vision
5.4. Deep Learning
5.5. Natural Language Processing
6. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY END-USER INDUSTRY
6.1. Introduction
6.2. Healthcare
6.3. Agriculture
6.4. Defense and Aerospace
6.5. Educational and Research Institutes
6.6. Manufacturing
6.7. Automotive and Transportation
6.8. Others
7. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. Germany
7.4.2. France
7.4.3. United Kingdom
7.4.4. Spain
7.4.5. Others
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Israel
7.5.4. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. India
7.6.3. Japan
7.6.4. South Korea
7.6.5. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Emerging Players and Market Lucrativeness
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Vendor Competitiveness Matrix
9. COMPANY PROFILES
9.1. Nvidia Corporation
9.2. Google Inc.
9.3. Intel
9.4. Microsoft
9.5. IBM
9.6. Qualcomm Technologies, Inc.
9.7. Numenta
9.8. Equbot