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This report studies the Artificial Intelligence in Manufacturing market, covering market size for segment by type (PLC, SCADA|HMI, etc.), by application (Ferrous Metallurgy, Non-ferrous Metallurgy, etc.), by sales channel (Direct Channel, Distribution Channel), by player (IBM, SAS, SAP SE, Siemens, Oracle, etc.) and by region (North America, Europe, Asia-Pacific, South America and Middle East & Africa).
This report provides detailed historical analysis of global market for Artificial Intelligence in Manufacturing from 2016-2021, and provides extensive market forecasts from 2022-2030 by region/country and subsectors. It covers the sales/revenue/value, gross margin, historical growth and future perspectives in the Artificial Intelligence in Manufacturing market.
Moreover, the impact of COVID-19 is also concerned. Since outbreak in December 2019, the COVID-19 virus has spread to all around the world and caused huge losses of lives and economy, and the global manufacturing, tourism and financial markets have been hit hard, while the online market/industry increase. Fortunately, with the development of vaccine and other effort by global governments and organizations, the negative impact of COVID-19 is expected to subside and the global economy is expected to recover.
This research covers COVID-19 impacts on the upstream, midstream and downstream industries. Moreover, this research provides an in-depth market evaluation by highlighting information on various aspects covering market dynamics like drivers, barriers, opportunities, threats, and industry news & trends. In the end, this report also provides in-depth analysis and professional advices on how to face the post COIVD-19 period.
The research methodology used to estimate and forecast this market begins by capturing the revenues of the key players and their shares in the market. Various secondary sources such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, have been used to identify and collect information useful for this extensive commercial study of the market. Calculations based on this led to the overall market size. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have then been verified through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments.
Leading players of Artificial Intelligence in Manufacturing including:
IBM
SAS
SAP SE
Siemens
Oracle
Microsoft
Mitsubishi Electric Corporation
Huawei
General Electric Company
Intel
Amazon Web Services
Cisco Systems
PROGRESS DataRPM
Salesforce
NVIDIA
Autodesk
Market split by Type, can be divided into:
PLC
SCADA|HMI
MES
ERP
Market split by Application, can be divided into:
Ferrous Metallurgy
Non-ferrous Metallurgy
Mining
Oil and Gas
Chemical
Market split by Sales Channel, can be divided into:
Direct Channel
Distribution Channel
Market segment by Region/Country including:
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America (Brazil, Argentina and Colombia etc.)
Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)
If you have any special requirements, please let us know and we can provide you the customized report as you want.
| Report Attributes | Report Details |
|---|---|
| Report Title | 2022-2030 Report on Global Artificial Intelligence in Manufacturing Market by Player, Region, Type, Application and Sales Channel |
| Historical Year | 2018 to 2022 (Data from 2010 can be provided as per availability) |
| Base Year | 2022 |
| Forecast Year | 2030 |
| Number of Pages | 105 Pages |
| Customization Available | Yes, the report can be customized as per your need. |
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