AI in Manufacturing Market to See Booming Growth | Oracle, Rockwell Automation, NVIDIA, Alphabet
Major players profiled in the study are:
NVIDIA Corporation (United States), IBM Corporation (United States), Alphabet Inc. (Google) (United States), Microsoft Corporation (United States), Intel Corporation (United States), Siemens AG (Germany), Oracle Corporation (United States), Amazon Web Services (United States), SAP SE (Germany), Rockwell Automation Inc. (United States), Cisco Systems Inc., (United States), General Electric Company (United States)
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Scope of the Report of AI in Manufacturing
Due to the COVID-19 pandemic, some manufacturers across the world are presently confronting grave challenges and will likely face continued downward pressure on the demand, production, and revenues as the COVID-19 intensifies in later 2020. Artificial intelligence has been one of the fastest-growing technologies in recent years. Enhancement in automation in the manufacturing industry and the rise in demand for big data integration boost the growth of artificial intelligence in the manufacturing market. According to researchers of the Oxford Martin School, around 47% of the total U.S. employment is at risk owing to the influence of advances in AI. Thus, AI possesses a great threat to humanity, thereby hampering the growth of the artificial intelligence in the manufacturing market.
The Global AI in Manufacturing Market segments and Market Data Break Down are illuminated below:
by Type (Hardware (Processor, Memory, Network), Software (AI Solutions, AI Platform), Services (Deployment & Integration, Support & Maintenance)), Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots, Reclaimation), Deployment Mode (Cloud, On-Premise), Industry Vertical (Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Semiconductors and Electronics, Food & Beverages, Others), Technology (Machine Learning (Deep Learning, Supervised Learning, Reinforced Learning, Unsupervised Learning, Others), Natural Language Processing, Context-aware Computing, Computer Vision)
• Growth in operational efficiency of manufacturing plants
• Application of AI for intelligent business process
• Adoption of automation technologies to curb the effects of COVID-19
• The widespread usage of machine vision cameras in manufacturing applications
• Increasingly large and complex dataset
• Evolving Industrial IoT and automation
• Promising Government Initiatives & Investments in Developing Nations
• Improving computing power
• Increasing venture capital investments
What can be explored with the AI in Manufacturing Market Study?
• Gain Market Understanding
• Identify Growth Opportunities
• Analyze and Measure the Global AI in Manufacturing Market by Identifying Investment across various Industry Verticals
• Understand the Trends that will drive Future Changes in AI in Manufacturing
• Understand the Competitive Scenarios
- Track Right Markets
- Identify the Right Verticals
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Strategic Points Covered in Table of Content of Global AI in Manufacturing Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Manufacturing market
Chapter 2: Exclusive Summary - the basic information of the AI in Manufacturing Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI in Manufacturing
Chapter 4: Presenting the AI in Manufacturing Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021
Chapter 6: Evaluating the leading manufacturers of the AI in Manufacturing market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
finally, AI in Manufacturing Market is a valuable source of guidance for individuals and companies.
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Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia.
Craig Francis (PR & Marketing Manager)
AMA Research & Media LLP
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