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Market Analysis and Insights: Global Artificial IntelligenceManufacturing Supply Chain Market
The global Artificial IntelligenceManufacturing Supply Chain market size is projected to reach US$ XX million by 2027, from US$ XX million in 2020, at a CAGR of XX% during 2021-2027.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial IntelligenceManufacturing Supply Chain market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial IntelligenceManufacturing Supply Chain market in terms of revenue.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial IntelligenceManufacturing Supply Chain market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial IntelligenceManufacturing Supply Chain market.
Global Artificial IntelligenceManufacturing Supply Chain Scope and Market Size
Market Analysis and Insights: Global Artificial Intelligence in Manufacturing and Supply Chain Market
Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
The global Artificial Intelligence in Manufacturing and Supply Chain market size is projected to reach US$ 7671.9 million by 2030, from US$ 826 million in 2022, at a CAGR of 36.9% during 2023-2030.
Artificial Intelligence (AI) is one of the most exciting technologies of the 21st century and has been the subject of debate across various business sectors. AI has several industrial applications where production plants can operate without human supervision. The machinery and equipment that are AI-enabled can function by acquiring human intelligence abilities. Supply chains in manufacturing are quickly adapting AI technologies as part of their digitization strategies. AI in supply chains helps in organizing and analyzing data, which helps decision making problems, ranging from logistics to warehousing. Such AI-enabled applications in the manufacturing industry are expected to improve efficiency and aid saving of time.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence in Manufacturing and Supply Chain market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence in Manufacturing and Supply Chain market in terms of revenue.
Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence in Manufacturing and Supply Chain market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence in Manufacturing and Supply Chain market.
Global Artificial Intelligence in Manufacturing and Supply Chain Scope and Market Size
Artificial Intelligence in Manufacturing and Supply Chain market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Manufacturing and Supply Chain market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-2030.
Segment by Type
On-premise
Cloud-based
Segment by Application
Automotive
Aerospace
Chemicals
Building Construction
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
By Company
IBM
Microsoft
Oracle
SAS
SAP SE
Siemens
Salesforce
Cambridge Analytica
Civis Analytics
RapidMiner
The information for each competitor/Company Profile includes:
The content of the study subjects includes a total of 15 chapters:
Chapter 1, describes Artificial IntelligenceManufacturing Supply Chain product scope, market overview, market opportunities, market driving force, and market risks.
Chapter 2, profiles the top manufacturers of Artificial IntelligenceManufacturing Supply Chain, with price, sales, revenue, and global market share of Artificial IntelligenceManufacturing Supply Chain from 2019 to 2022.
Chapter 3, the Artificial IntelligenceManufacturing Supply Chain competitive situation, sales, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Artificial IntelligenceManufacturing Supply Chain breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2017 to 2028.
Chapters 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, and application, from 2017 to 2028.
Chapters 7, 8, 9, 10, and 11, to break the sales data at the country level, with sales, revenue, and market share for key countries in the world, from 2017 to 2022. and the Artificial IntelligenceManufacturing Supply Chain market forecast, by regions, type, and application, with sales and revenue, from 2023 to 2028.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial IntelligenceManufacturing Supply Chain.
Chapter 13, 14, and 15, to describe Artificial IntelligenceManufacturing Supply Chain sales channel, distributors, customers, research findings and conclusion, appendix and data source.
Key Indicators Analysed:
Reasons to Purchase this Report:
Research Methodology:
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.
| Report Attributes | Report Details |
|---|---|
| Report Title | Global Artificial Intelligence in Manufacturing and Supply Chain Market Research Report 2023 |
| Historical Year | 2018 to 2022 (Data from 2010 can be provided as per availability) |
| Base Year | 2021 |
| Forecast Year | 2029 |
| Number of Pages | 89 Pages |
| Customization Available | Yes, the report can be customized as per your need. |
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