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Market Segmentation:
Key Players:
- IBM
- Microsoft Corporation
- Amazon Web Services Inc
- Oracle Corporation
- SAP
- Alibaba
- Baidu
Segment by Types:
- Artificial neural networks
- Machine learning
Segment by Applications:
- Inventory control and planning
- Transportation network design
- Purchasing and supply management
- Demand planning and forecasting
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Artificial intelligence (AI) in Supply Chain and Logistics Market Report Scope:
Regions Are covered By Artificial intelligence (AI) in Supply Chain and Logistics Market Report 2022 To 2028
For a comprehensive understanding of market dynamics, the global Artificial intelligence (AI) in Supply Chain and Logistics market is analyzed across key geographies namely: North America (United States, Canada, and Mexico), Europe (Germany, France, UK, Russia, and Italy), Asia-Pacific (China, Japan, Korea, India, and Southeast Asia), South America (Brazil, Argentina, and Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa). Each of these regions is analyzed on the basis of market findings across major countries in these regions for a macro-level understanding of the market.
Key Highlights of the Report
– Quantitative market information and forecasts for the global Artificial intelligence (AI) in Supply Chain and Logistics industry, segmented by type, end-use, and geographic region.
– Expert analysis of the key technological, demographic, economic, and regulatory factors driving growth in the Artificial intelligence (AI) in Supply Chain and Logistics to 2026.
– Market opportunities and recommendations for new investments.
– Growth prospects among the emerging nations through 2026.
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There are 13 Sections to show the global Artificial intelligence (AI) in Supply Chain and Logistics market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview
Chapter 2: Market Competition by Manufacturers
Chapter 3: Production by Regions
Chapter 4: Consumption by Regions
Chapter 5: Production, By Types, Revenue, and Market share by Types
Chapter 6: Consumption, By Applications, Market share (%), and Growth Rate by Applications
Chapter 7: Complete profiling and analysis of Manufacturers
Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses
Chapter 9: Industrial Chain, Sourcing Strategy, and Downstream Buyers
Chapter 10: Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Market Effect Factors Analysis
Chapter 12: Market Forecast
Chapter 13: Artificial intelligence (AI) in Supply Chain and Logistics Market Research Findings and Conclusion, Appendix, methodology, and data source
Finally, researchers throw light on the pinpoint analysis of Global Artificial intelligence (AI) in Supply Chain and Logistics Market dynamics. It also measures the sustainable trends and platforms which are the basic roots behind the market growth. The degree of competition is also measured in the research report. With the help of SWOT and Porter’s five analyses, the market has been deeply analyzed. It also helps to address the risk and challenges in front of the businesses. Furthermore, it offers extensive research on sales approaches.
Note: All the reports that we list have been tracking the impact of COVID-19. Both upstream and downstream of the entire supply chain have been accounted for while doing this. Also, where possible, we will provide an additional COVID-19 update supplement/report to the report in Q3, please check with the sales team.
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