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Artificial Intelligence in Supply Chain Market by Product, End User, Type, and Mode, Worldwide Forecast till 2029

Artificial Intelligence in Supply Chain Market by Product, End

Market Analysis and Insights of Artificial Intelligence in Supply Chain Market
Surge in the rate of penetration of internet especially in the developing economies, growing focus on improving organizational performance and operational efficiency and rising adoption of advanced technologies such as artificial intelligence by the small and medium scale enterprises are the major factors attributable to the growth of the artificial intelligence in supply chain market. Data Bridge Market Research analyses that the artificial intelligence in supply chain market will exhibit a CAGR of 8.60% for the forecast period of 2022-2029. Therefore, the artificial intelligence in supply chain market value would stand tall by USD 54.51 million by 2029.

Artificial intelligence in supply chain helps in improving the overall supply chain performance by using cognitive predictions and recommendations on optimal actions. Artificial intelligence is used in supply chain applications to automate the processes such as allocating resources, assigning work to people and so on.

Rising digitization of the economies especially the emerging ones will emerge as the major market growth driving factor. Surging demand for greater visibility and transparency in the supply chain and logistics data, growing generation of high amount of data and information, rising adoption by small and medium scale enterprises and strengthening IT industry in developing economies such as India and China will further aggravate the growth of the market. Rising proliferation of cloud based services and ever-growing set of favourable government regulations are some other factors bolstering the growth of the market.
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Global Artificial Intelligence in Supply Chain Market Scope and Market Size
The artificial intelligence in supply chain market is segmented on the basis of offering, technology, application and industry. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

Artificial intelligence in supply chain market on the basis of offering has been segmented hardware, software and services.
Based on technology, the artificial intelligence in supply chain market has been segmented into machine learning, natural language processing, context-aware computing and computer vision.
On the basis of application, the artificial intelligence in supply chain market has been segmented fleet management, supply chain planning, risk management, warehouse management, virtual assistant, freight brokerage and others.
On the basis of industry, the artificial intelligence in supply chain market has been segmented automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods and food and beverages.

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