Global Artificial Industrial in Manufacturing Market Research Report 2019 (Includes Business Impact of COVID-19)

                                          
"The ongoing Coronavirus (COVID-19) pandemic is re-shaping everything from global economies to product categories, pricing, and stock availability to the consumer behavior. The final report is updated to address the impact of COVID-19 on the Artificial Industrial in Manufacturing market.

Trusted Business Insights is tracking mining/oil and gas, transportation, employment services, travel arrangements, and the leisure and hospitality sector closely as they are likely to be the hardest-hit sectors. Utilities, local pharma, diagnostics, consumer goods and durables, agro chem and fertilizers, and telecommunications are the sectors that will be weathering the COVID-19 storm and most likely come out relatively unscathed. Interdependencies of sectors are factored in our research report on the Artificial Industrial in Manufacturing market."
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 dropand 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 is valued at xx million US$ in 2018 is expected to reach xx million US$ by the end of 2025, growing at a CAGR of xx% during 2019-2025.
This report focuses on Artificial Industrial in Manufacturing volume and value at global level, regional level and company level. From a global perspective, this report represents overall Artificial Industrial in Manufacturing market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan.
At company level, this report focuses on the production capacity, ex-factory price, revenue and market share for each manufacturer covered in this report.

The following manufacturers are covered:
    Intel Corporation
    Siemens AG
    IBM Corporation
    Alphabet Inc
    Microsoft Corporation
    Cisco Systems, Inc
    General Electric Company
    Data RPM, Sight Machine
    General Vision, Inc
    Rockwell, Automation Inc
    Mitsubishi Electric Corporation
    Oracle Corporation
    SAP SE

Segment by Regions
    North America
    Europe
    China
    Japan

Segment by Type
    Hardware
    Software

Segment by Application
    Semiconductor and Electronics
    Energy and Power
    Pharmaceuticals
    Automobile
    Heavy Metals and Machine Manufacturing
    Food and Beverages
    Others (Textiles & Aerospace)