Artificial Intelligence in Supply Chain Market Exceed Valuation of CAGR of 8.60% by 2029

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Global Artificial Intelligence in Supply Chain Market - Industry Trends and Forecast to 2029
ICT
Upcoming Report
Jan 2022
Global
350 Pages
No of Tables: 60
No of Figures: 220
REPORT DESCRIPTION
TABLE OF CONTENT
LIST OF TABLE
LIST OF FIGURE
Global Artificial Intelligence in Supply Chain Market, By Offering (Hardware, Software and Services), Technology (Machine Learning, Natural Language Processing, Context-Aware Computing and Computer Vision), Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage and Others), Industry (Automotive, Aerospace, Retail, Manufacturing, Healthcare, Consumer-Packaged Goods and Food and Beverages), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029

Artificial Intelligence in Supply Chain Market
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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.

However, lack of technological expertise in underdeveloped and developing economies will act as growth restraints for the market. Also, lack of workforce and the increasing cost for the same will yet again hamper the market growth rate. Lack of strong infrastructural facilities in the backward economies and complexities associated with the coding of artificial intelligence will also challenge the market growth rate.
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Artificial Intelligence in Supply Chain Market Country Level Analysis
The artificial intelligence in supply chain market is analysed and market size, volume information is provided by country, offering, technology, application and industry as referenced above.

The countries covered in the artificial intelligence in supply chain market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the artificial intelligence in supply chain market and will continue to flourish its trend of dominance during the forecast period owing to the major presence of key players along with the presence of developed economies focusing on enhancing the existing solutions in the supply chain space. Asia-Pacific will continue to undergo substantial gains during the forecast period and will score the highest CAGR. This is because of the presence of young and tech-savvy population in this region and growing proliferation of internet of things (IoT).

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