The global Artificial Intelligence in Supply Chain market size is estimated to reach $1.9 Billion by 2026, rising at a CAGR of 42.3% over the forecast period, 2021-2026.
AI-enhanced tools are used across supply chains to increase efficiency, reduce the impact of global worker shortages, and discover better, safer ways to move goods from one point to another. AI applications can be found throughout supply chains, from the manufacturing floor to delivery at the front door.
Government initiatives and policies in developing countries show promise in driving artificial intelligence in the supply chain market. All participants in the supply chain business, including public companies and individual suppliers, are affected by government regulations. However, there are several obstacles to adopting robust supply chain information systems in developing countries.
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The Artificial Intelligence in Supply Chain Market reports gives a far-reaching outline of the worldwide market size and share. It gives the information historically and six years forecast data which incorporates information on the financial information of the worldwide market. Key partners can refer to the insights, tables, and figures highlighted in this Artificial Intelligence in Supply Chain research report. Nitty-gritty Study of Market incorporates evaluation of Porter’s Five Forces system, Pestle Analysis, SWOT analysis with Opportunity.
Pivotal Players in the Global Artificial Intelligence in Supply Chain Market
Amazon Web Services, Inc., project44., Deutsche Post AG, FedEx, GENERAL ELECTRIC, Google LLC, IBM, Intel Corporation, Coupa Software Inc.., Micron Technology, Inc., and Others.
North America held the largest share of Artificial Intelligence in Supply Chain Market in 2020. It is due to the significant presence of essential actors and the presence of developed economies concentrating on improving current supply chain solutions. North America had a global market share of 36.4%.
Segmentation of Artificial Intelligence in Supply Chain Market:
The report segments the market by the type of the product, Application of the product and the end users. Segmentation of the market enables the client to understand the market clearly and deeply.
Market Segmentation: By Type
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Computer Vision
- Context Awareness
- Natural Processing Language (NLP)
Market Segmentation: By Application
- Fleet Management
- Supply Chain Planning
- Warehouse Management
- Virtual Assistant
- Risk Management
- Freight Brokerage
- Others
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The study presents an evaluation of the factors that are expected to inhibit or boost the progress of global Artificial Intelligence in Supply Chain market. The global Artificial Intelligence in Supply Chain market has been examined thoroughly on the basis of key criteria such as end user, application, product, technology, and region. An analysis has been provided in the report of the key geographical segments and their share and position in the market. The estimated revenue and volume growth of the global Artificial Intelligence in Supply Chain market has also been offered in the report.
Classified by region, this research report is segmented into many key sections, with production, consumption, revenue, market share and progress rate of Artificial Intelligence in Supply Chain in these regions, from 2022 to 2029, covering the regions like North America, Europe, China, Japan, Southeast Asia and India.
Highlights of the report:
- The research study is derived from primary and secondary resources which consist of qualitative and quantative analysis
- It provides the information about the drivers and restraints of the market.
- It presents a dynamic vision to conclude and research market size, key developments and competitive information.
- It highlights the current scenario of the businesses along with historical records.
- It focuses on some significant factors that are responsible for the progress of the business.
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