Global Artificial Intelligence in Manufacturing Market

1 INTRODUCTION OF GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET , BY TECHNOLOGY
5.1 Overview
5.2 Natural Language Processing
5.3 Deep Learning
5.4 Computer Vision
5.5 Context Awareness

6 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET , BY COMPONENT
6.1 Overview
6.2 Software
6.3 Hardware

7 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET , BY APPLICATION
7.1 Overview
7.2 Field Services
7.3 Reclamation
7.4 Quality Control
7.5 Material Movement
7.6 Predictive Maintenance and Machinery Inspection
7.7 Production Planning
8 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET , BY VERTICAL
8.1 Overview
8.2 Food and Beverages
8.3 Pharmaceuticals
8.4 Automobile
8.5 Semiconductor and Electronics
8.6 Energy and Power
8.7 Heavy Metals and Machine Manufacturing
8.8 Others

9 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET , BY GEOGRAPHY
9.1 Overview
9.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
9.2.1 U.S.
9.2.2 Canada
9.2.3 Mexico
9.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
9.3.1 Germany
9.3.2 U.K.
9.3.3 France
9.3.4 Rest of Europe
9.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Rest of Asia Pacific
9.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
9.5.1 Brazil
9.5.2 Argentina
9.6 Rest of the World Regional Market Estimates and Forecasts, 2012 - 2025

10 GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET COMPETITIVE LANDSCAPE
10.1 Overview
10.2 Company Market Share
10.3 Vendor Landscape
10.4 Key Development Strategies

11 COMPANY PROFILES
11.1 IBM Corporation
11.1.1 Overview
11.1.2 Financial Performance
11.1.3 Product Outlook
11.1.4 Key Developments

11.2 SAP SE
11.2.1 Overview
11.2.2 Financial Performance
11.2.3 Product Outlook
11.2.4 Key Developments

11.3 Nvidia Corporation
11.3.1 Overview
11.3.2 Financial Performance
11.3.3 Product Outlook
11.3.4 Key Developments

11.4 Siemens AG
11.4.1 Overview
11.4.2 Financial Performance
11.4.3 Product Outlook
11.4.4 Key Developments

11.5 Microsoft Corporation
11.5.1 Overview
11.5.2 Financial Performance
11.5.3 Product Outlook
11.5.4 Key Developments

11.6 Datarpm
11.6.1 Overview
11.6.2 Financial Performance
11.6.3 Product Outlook
11.6.4 Key Developments

11.7 General Vision, Inc.
11.7.1 Overview
11.7.2 Financial Performance
11.7.3 Product Outlook
11.7.4 Key Developments

11.8 Cisco Systems, Inc.
11.8.1 Overview
11.8.2 Financial Performance
11.8.3 Product Outlook
11.8.4 Key Developments

11.9 Oracle Corporation
11.9.1 Overview
11.9.2 Financial Performance
11.9.3 Product Outlook
11.9.4 Key Developments

11.10 Intel Corporation
11.10.1 Overview
11.10.2 Financial Performance
11.10.3 Product Outlook
11.10.4 Key Developments

11.11 Alphabet Inc.
11.11.1 Overview
11.11.2 Financial Performance
11.11.3 Product Outlook
11.11.4 Key Developments
11.12 General Electric (GE) Company
11.12.1 Overview
11.12.2 Financial Performance
11.12.3 Product Outlook
11.12.4 Key Developments

11.13 Sight Machine
11.13.1 Overview
11.13.2 Financial Performance
11.13.3 Product Outlook
11.13.4 Key Developments

11.14 Rockwell Automation Inc.
11.14.1 Overview
11.14.2 Financial Performance
11.14.3 Product Outlook
11.14.4 Key Developments

11.15 Mitsubishi Electric Corporation
11.15.1 Overview
11.15.2 Financial Performance
11.15.3 Product Outlook
11.15.4 Key Developments

12 Appendix
12.1 Related Reports