Artificial Industrial in Manufacturing usually refers to the application of artificial intelligence to industry. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, and insight discovery. —
Artificial intelligence (AI) is just now finding its niche in manufacturing, as the technology matures and costs drop—and as manufacturers discover applications for which AI algorithms can make complex decisions. And as it becomes ubiquitous, the future of artificial intelligence in manufacturing is already becoming feasible in emerging markets; showcasing better sensory capabilities; and, off the factory floor, predicting what will be needed and when.
AI certainly is making robots more capable and easier for humans to collaborate with. But it will have an impact in areas that have nothing to do with robotics. In the supply chain, for example, algorithms can perceive patterns of demand for products across time, geographic markets, and socioeconomic segments while accounting for macroeconomic cycles, political developments, and even weather patterns. The output can be a projection of market demand, which in turn could drive raw material sourcing, human staffing, financing decisions, inventory, maintenance of equipment, and energy consumption.
The growth of this market is driven by growing usage of big data technology and industrial IoT in the manufacturing industry, extensive usage of robotics, increased in usage of computer vision technology by manufacturing companies, cross-industry partnerships, and significant increase in venture capital investments.
The global Artificial Industrial in Manufacturing market was xx million US$ in 2018 and is expected to xx million US$ by the end of 2025, growing at a CAGR of xx% between 2019 and 2025.
This report studies the Artificial Industrial in Manufacturing market size (value and volume) by players, regions, product types and end industries, history data 2014-2018 and forecast data 2019-2025; This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Artificial Industrial in Manufacturing in these regions, from 2014 to 2025, covering
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Turkey etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil etc.)
Middle East and Africa (Egypt and GCC Countries)
The various contributors involved in the value chain of the product include manufacturers, suppliers, distributors, intermediaries, and customers.
The key manufacturers in this market include
Cisco Systems, Inc
General Electric Company
Data RPM, Sight Machine
General Vision, Inc
Rockwell, Automation Inc
Mitsubishi Electric Corporation
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By the product type, the market is primarily split into
By the end users/application, this report covers the following segments
Semiconductor and Electronics
Energy and Power
Heavy Metals and Machine Manufacturing
Food and Beverages
Others (Textiles & Aerospace)
The study objectives of this report are:
To study and analyze the global Artificial Industrial in Manufacturing market size (value & volume) by company, key regions/countries, products and application, history data from 2014 to 2018, and forecast to 2025.
To understand the structure of Artificial Industrial in Manufacturing market by identifying its various subsegments.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
Focuses on the key global Artificial Industrial in Manufacturing manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Industrial in Manufacturing with respect to individual growth trends, future prospects, and their contribution to the total market.
To project the value and volume of Artificial Industrial in Manufacturing submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
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This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Artificial Industrial in Manufacturing market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Raw material suppliers
Regulatory bodies, including government agencies and NGO
Commercial research & development (R&D) institutions
Importers and exporters
Government organizations, research organizations, and consulting firms
Trade associations and industry bodies
With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:
Further breakdown of Artificial Industrial in Manufacturing market on basis of the key contributing countries.
Detailed analysis and profiling of additional market players.
Major Points From TOC:
Chapter One: Artificial Industrial in Manufacturing Market Overview
Chapter Two: Global Artificial Industrial in Manufacturing Market Competition by Company
Chapter Three: Artificial Industrial in Manufacturing Company Profiles and Sales Data
Chapter Four: Artificial Industrial in Manufacturing Market Status and Outlook by Regions
Chapter Five: Artificial Industrial in Manufacturing Application/End Users
Chapter Six: Global Artificial Industrial in Manufacturing Market Forecast
Chapter Seven: Artificial Industrial in Manufacturing Upstream Raw Materials
Chapter Eight: Marketing Strategy Analysis, Distributors
Chapter Nine: Research Findings and Conclusion
Name: Matt Wilson
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