Global Artificial Intelligence in Manufacturing Market

Market Overview:
The Global Artificial Intelligence in Manufacturing Market was valued at USD 280.21 million in 2016 and is projected to reach USD 12367.90 million by 2025, growing at a CAGR of 52.32% from 2017 to 2025.

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and reacts like humans. Artificial intelligence is one of the technologies that give manufacturers the ability to keep up with the new pace of business. There are several benefits of artificial intelligence in manufacturing industry that includes - increase production capacity, provides more relevant data for better management, , improves preventative maintenance, enables condition monitoring processes, improved product and service quality, and increasing production.

Sample Infographics:



Market Dynamics:
1. Market Drivers
1.1 Increasing operational efficiency of manufacturing plants
1.2 Adoption of industrial IoT and big data technology in manufacturing
1.3 Rising usage of robotics and computer vision technology in manufacturing
1.4 Growing opportunities for AI based technology in developing countries
2. Market Restraints
2.1 Concerns for data privacy
2.2 Poor adoption of AI-based technologies by manufacturers

Market Segmentation:
The Global Artificial Intelligence in Manufacturing Market is segmented on the technology, component, application, vertical, and region.

1. Technology:
1.1 Natural Language Processing
1.2 Deep Learning
1.3 Computer Vision
1.4 Context Awareness

2. By Component:
2.1 Software
2.2 Hardware

3. By Application:
3.1 Field Services
3.2 Reclamation
3.3 Quality Control
3.4 Material Movement
3.5 Predictive Maintenance and Machinery Inspection
3.6 Production Planning

4. By Vertical:
4.1 Food and Beverages
4.2 Pharmaceuticals
4.3 Automobile
4.4 Semiconductor and Electronics
4.5 Energy and Power
4.6 Heavy Metals and Machine Manufacturing
4.7 Others

5. By Region:
5.1 North America (U.S., Canada, Mexico)
5.2 Europe (Germany, UK, France, Rest of Europe)
5.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
5.4 Latin America (Brazil, Argentina, Rest of Latin America)
5.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. SAP SE
3. Nvidia Corporation
4. Siemens AG
5. Microsoft Corporation
6. Datarpm
7. General Vision, Inc.
8. Cisco Systems, Inc.
9. Oracle Corporation
10. Intel Corporation
11. Alphabet Inc.
12. General Electric (GE) Company
13. Sight Machine
14. Rockwell Automation Inc.
15. Mitsubishi Electric Corporation
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Artificial Intelligence in Manufacturing Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team.
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
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