Absolute Markets Insights has announced an analytical data titled as Artificial Intelligence In Supply Chain Management Market. Demanding trends have been analyzed on the basis of type, size, and applications. The global scope for the Artificial Intelligence In Supply Chain Management sector has been analyzed and predicted for the forecast period of the 2022-2030 year. This research report offers a summarized data of different dynamic aspects of the businesses. Different graphical presentation techniques have been used while curating this report such as info graphics, graphs, pictures, and flowcharts which helps to get better perspective to the readers. Well explained SWOT analysis has been used to understand the strength, weaknesses, opportunities, and threats in front of the businesses.
Business profiles of the leading key players have been analyzed to understand the successful strategies adopted by them. It takes a closer and analytical look on existing top-level companies as well as new startups. Different methods and models have been used to calculate the trajectory of Artificial Intelligence In Supply Chain Management industries.
Prominent Players: o9 Solutions, Inc., Accenture, ADLINK Technology Inc., Aera Technology, Amazon Web Services, Inc., American Software, Inc. (Logility), Atos SE, C3.ai, Inc., Dematic, Hangzhou Hikvision Digital Technology Co.,Ltd., IBM Corporation, Infor, Infosys Limited, LLamasoft Inc. , Microsoft, NVIDIA Corporation, Oracle, SAP SE, Wipro Limited, ZETES, , amongst others.
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In terms of revenue, global artificial intelligence in supply chain management market was valued at US$ 1549.51 Mn in 2020 and is anticipated to grow at a CAGR of 25.12% over the forecast period (2022-2030). The study analyses the market in terms of revenue across all the major regions, which have been bifurcated into countries.
Additionally, the report presents extensive knowledge on distinctive market attributes such as production, revenue, and capacity. Among other distinctive features of the market report, it also includes coverage of influential market trends and of the current scenario on market shares. Significant information of the report is supported by evidence of prominent companies such as financial overview, specification and recent developments. Finally, the research also draws attention to possible strengths, weaknesses, threats, and opportunities that can affect the progress of global Artificial Intelligence In Supply Chain Management market.
The information on the global Artificial Intelligence In Supply Chain Management market is accessible to readers in logical chapter wise format. Driving and restraining factors have been listed in this research report which helps to provide the understanding of positive as well as negative aspects in front of the businesses.
Global Artificial Intelligence in Supply Chain Management Market:
By Offering
- Hardware
- Software
- Cloud
- On Premise
- Services
- Training and Consulting
- Implementation and Maintenance
- Design and Development
- Others
By Organization Size
- Small and Medium Enterprises
- Large Enterprises
- By End-User
- Healthcare and Pharmaceutical
- Transportation and Logistics
- Manufacturing
- Automotive
- Agriculture
- Aerospace and Defence
- Food and Beverages
- Defence and Aerospace
- Retail and Consumer Goods
- Others
By Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
By Application
- Fleet Management
- Warehouse Management
- Customer Relationship Management
- Supply Chain Visibility
- Risk Analysis
- Quality and Compliance
- Robotic Automation
- Sourcing and Supply Management
- Route Optimization
- Others
By Region:
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
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