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Artificial Intelligence in Manufacturing Market: Global Industry Analysis, Trends, Market Size and Forecasts up to 2024

Artificial Intelligence in Manufacturing Market: Global Industry Analysis, Trends, Market Size and Forecasts up to 2024
The report on global artificial intelligence in manufacturing market provides qualitative and quantitative analysis for the period of 2016 to 2024. The report predicts the global artificial intelligence in manufacturing market to grow with healthy CAGR over the forecast period of 2018-2024. The study on artificial intelligence in manufacturing market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific and RoW for the period of 2016 to 2024.
Rapidly growing industrial automation, digitalization, extensive use of robotics and the computer technologies in the manufacturing, growing use of big data and IoT drives the growth of human intelligence in the manufacturing market. In addition, the artificial intelligence offers speech recognition, learning, planning, and problem-solving capabilities which help the manufacturing companies to provide the safer operational environment helps to enhance the quantity and quality of the production. On the other side, reluctance for acceptance of artificial intelligence among the manufacturers is expected to restrain the market growth over the forecast period.
Moreover, the use of AI in the manufacturing will offer more opportunities for personalized and customized manufacturing. The growing technological advancements and rising investments in R&D of AI are projected to create new opportunities for this market in upcoming years.
Among the regions, North America dominates the market of artificial intelligence in the manufacturing. The existence of the major players of artificial intelligence in North America is contributing to the market growth in this region. Asia-pacific is the fastest growing region in the artificial intelligence in manufacturing industries market. The rapidly growing industrial automation in the Asia Pacific region increased the use of robotics and other computer technology. The countries including China, Japan, South Korea, and Indonesia are focusing on the introduction of a new technology of AI to improve the efficiency and enhances the productivity with minimal cost.
The report on artificial intelligence in manufacturing market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global artificial intelligence in manufacturing market over the period of 2016 to 2024. Moreover, the report is collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global artificial intelligence in manufacturing market over the period of 2016 to 2024. Further, IGR- Growth Matrix given in the report brings an insight on the investment areas that existing or new market players can consider.

Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached through
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from LinkedIn, Hoovers, Factiva and Bloggers
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered
The global artificial intelligence in manufacturing market is segmented on the basis of technology and end use industries.

Global Artificial Intelligence In Manufacturing Market by Technology
Text Analytics & NLP (Natural Language Processing)
Machine Learning Platforms
Deep Learning
Robotic Processes Automation
Machine Vision
Others
Global Artificial Intelligence In Manufacturing Market by End Use Industries
Automobile
Heavy Metals And Machine Manufacturing
Semiconductor And Electronics
Energy And Power
Food And Beverages
Pharmaceuticals

Company Profiles
Siemens AG
IBM Corporation
Intel Corporation
General Electric (GE) Company
Microsoft Corporation
Rockwell Automation Inc.
Cisco Systems, Inc.
Mitsubishi Electric Corporation
Oracle Corporation
Datarpm
Others

How this report delivers?
1. Comprehensive analysis of global as well as regional markets of artificial intelligence in manufacturing market.
2. Complete coverage of all the segments in artificial intelligence in manufacturing market to analyze the trends, developments in the global market and forecast of market size up to 2024.
3. Comprehensive analysis of the companies operating in global artificial intelligence in manufacturing market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.


The report on artificial intelligence in manufacturing market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global artificial intelligence in manufacturing market over the period of 2016 to 2024. Moreover, the report is collective presentation of primary and secondary research findings.

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. Artificial Intelligence in Manufacturing Market Highlights
2.2. Artificial Intelligence in Manufacturing Market Projection
2.3. Artificial Intelligence in Manufacturing Market Regional Highlights
3. Global Artificial Intelligence in Manufacturing Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter's Five Forces Analysis
3.4. IGR-Growth Matrix Analysis
3.4.1. IGR-Growth Matrix Analysis by Technology
3.4.2. IGR-Growth Matrix Analysis by End Use Industries
3.4.3. IGR-Growth Matrix Analysis by Region
3.5. Value chain artificial intelligence in manufacturing market
3.6. Import-Export data matrix
4. Artificial Intelligence in Manufacturing Market Macro Indicator Analysis
5. Global Artificial Intelligence in Manufacturing Market by Technology
5.1. Text Analytics & NLP (Natural Language Processing)
5.2. Machine Learning Platforms
5.3. Deep Learning
5.4. Robotic Processes Automation
5.5. Machine Vision
5.6. Others
6. Global Artificial Intelligence in Manufacturing Market by End Use Industries
6.1. Automobile
6.2. Heavy Metals and Machine Manufacturing
6.3. Semiconductor and Electronics
6.4. Energy and Power
6.5. Food and Beverages
6.6. Pharmaceuticals
7. Global Artificial Intelligence in Manufacturing Market by Region 2018-2024
7.1. North America
7.1.1. North America Artificial Intelligence in Manufacturing Market by Technology
7.1.2. North America Artificial Intelligence in Manufacturing Market by End Use Industries
7.1.3. North America Artificial Intelligence in Manufacturing Market by Country
7.2. Europe
7.2.1. Europe Artificial Intelligence in Manufacturing Market by Technology
7.2.2. Europe Artificial Intelligence in Manufacturing Market by End Use Industries
7.2.3. Europe Artificial Intelligence in Manufacturing Market by Country
7.3. Asia-Pacific
7.3.1. Asia-Pacific Artificial Intelligence in Manufacturing Market by Technology
7.3.2. Asia-Pacific Artificial Intelligence in Manufacturing Market by End Use Industries
7.3.3. Asia-Pacific Artificial Intelligence in Manufacturing Market by Country
7.4. RoW
7.4.1. RoW Artificial Intelligence In Manufacturing Market by Technology
7.4.2. RoW Artificial Intelligence In Manufacturing Market by End Use Industries
7.4.3. RoW Artificial Intelligence In Manufacturing Market by Sub-region
8. Company Profiles and Competitive Landscape
8.1. Competitive Landscape in the Global Artificial Intelligence In Manufacturing Market
8.2. Companies Profiles
8.2.1. Siemens Ag
8.2.1.1. Overview
8.2.1.2. Company Snapshot
8.2.1.3. Financial Snapshot
8.2.1.4. Product portfolio
8.2.1.5. Recent developments
8.2.2. Ibm Corporation
8.2.2.1. Overview
8.2.2.2. Company Snapshot
8.2.2.3. Financial Snapshot
8.2.2.4. Product portfolio
8.2.2.5. Recent developments
8.2.3. Intel Corporation
8.2.3.1. Overview
8.2.3.2. Company Snapshot
8.2.3.3. Financial Snapshot
8.2.3.4. Product portfolio
8.2.3.5. Recent developments
8.2.4. General Electric (ge) Company
8.2.4.1. Overview
8.2.4.2. Company Snapshot
8.2.4.3. Financial Snapshot
8.2.4.4. Product portfolio
8.2.4.5. Recent developments
8.2.5. Microsoft Corporation
8.2.5.1. Overview
8.2.5.2. Company Snapshot
8.2.5.3. Financial Snapshot
8.2.5.4. Product portfolio
8.2.5.5. Recent developments
8.2.6. Rockwell Automation Inc.
8.2.6.1. Overview
8.2.6.2. Company Snapshot
8.2.6.3. Financial Snapshot
8.2.6.4. Product portfolio
8.2.6.5. Recent developments
8.2.7. Cisco Systems, Inc.
8.2.7.1. Overview
8.2.7.2. Company Snapshot
8.2.7.3. Financial Snapshot
8.2.7.4. Product portfolio
8.2.7.5. Recent developments
8.2.8. Mitsubishi Electric Corporation
8.2.8.1. Overview
8.2.8.2. Company Snapshot
8.2.8.3. Financial Snapshot
8.2.8.4. Product portfolio
8.2.8.5. Recent developments
8.2.9. Oracle Corporation
8.2.9.1. Overview
8.2.9.2. Company Snapshot
8.2.9.3. Financial Snapshot
8.2.9.4. Product portfolio
8.2.9.5. Recent developments
8.2.10. Datarpm
8.2.10.1. Overview
8.2.10.2. Company Snapshot
8.2.10.3. Financial Snapshot
8.2.10.4. Product portfolio
8.2.10.5. Recent developments
8.2.11. Others
8.2.11.1. Overview
8.2.11.2. Company Snapshot
8.2.11.3. Financial Snapshot
8.2.11.4. Product portfolio
8.2.11.5. Recent developments
9. Appendix
9.1. Primary research findings and questionnaire

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