Advance Market Analytics published a new research publication on “AI in Manufacturing Market Insights, to 2026” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market stakeholders. The growth of the AI in Manufacturing market is mainly driven by the increasing R&D spending across the world.
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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.
Some of the key 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)
The titled segments and sub-section of the market are illuminated below:
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)
The AI in Manufacturing Market report provides a basic overview of the industry including its definition, geography segment, end use/application segment and competitor segment and manufacturing technology. Then, the report explores the international major industry players in detail.
Promising Government Initiatives & Investments in Developing Nations
Improving computing power
Increasing venture capital investments
The widespread usage of machine vision cameras in manufacturing applications
Increasingly large and complex dataset
Evolving Industrial IoT and automation
Limited skilled workforce
The significant financial and operational impact of COVID-19 outbreak on manufacturing
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
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 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 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
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 with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
-The top-down and bottom-up approaches are used to estimate and validate the size of the global AI in Manufacturing market.
-In order to reach an exhaustive list of functional and relevant players who offer AI in Manufacturing various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies.
-Thereafter, a thorough validation test is conducted to reach most relevant players specifically having product line i.e. AI in Manufacturing.
-In order to make priority list sorting is done based on revenue generation as per latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
-Finally, the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment. This helps us to gather the data for the players’ revenue, profit, products, growth etc.
-Almost 80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, Annual reports, press releases etc.
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