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Artificial Intelligence in Supply Chain Market Understanding Demand & Future Trends 2029

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The Artificial Intelligence in Supply Chain Market report delves into key player company profiles, meticulously assessing their core strengths and illustrating a competitive landscape within the market. This comprehensive report is a professional dive into primary and secondary drivers, market share dynamics, sizing, leading segments, and geographical analyses. Offering paramount market insights, this Artificial Intelligence in Supply Chain Market research report acts as a catalyst, propelling businesses toward the pinnacle of growth and success. It encompasses vital industry trends, market sizing, and market share analysis, paving the way for uncovering the most promising market opportunities critical for your business's prosperity.

 

Armed with insightful market data and information, this Artificial Intelligence in Supply Chain Market research report becomes a guiding compass for businesses, enabling better decision-making and strategic definition. Covering fluctuations in Compound Annual Growth Rate (CAGR) throughout the forecast period, historical data, current trends, market environments, technological innovations, and forthcoming industry advancements, this report serves as a gateway to understanding the landscape of the Food & Beverage industry. It elucidates market definitions, classifications, applications, engagements, and trends, offering a comprehensive view that unlocks new horizons for success. This report acts as a fundamental key for businesses aspiring to reach unprecedented levels of achievement.

 

Data Bridge Market Research analyses that the 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 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

 

Overview of Artificial Intelligence in Supply Chain Market:

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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Dynamics Scope, Drivers and Growth Drivers of Artificial Intelligence in Supply Chain Market:

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.

 

Regional Analysis/Insights of Artificial Intelligence in Supply Chain Market:

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.

 

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).

 

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.

 

The major companies which are dealing in the 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., Microsoft, NVIDIA Corporation, Oracle., SAP SE, SAMSUNG, Xilinx, Fraight AI, C.H. Robinson Worldwide, Inc., E2open, LLC., RELEX Solutions, SKF Group, Cainiao Network, Splice Machine and American Software, Inc., among others.

 

Key Market Perspectives:

  1. Thorough examination of prevailing market tendencies

  1. Updates on the latest product advancements and innovations

  1. Artificial Intelligence in Supply Chain Market's Compound Annual Growth Rate (CAGR) for both historic and forecasted years

  1. Strategies and activities of prominent players and brands in the field

  1. Insights into the industry landscape for emerging participants

 

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Segmentation of 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)

 

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About Data Bridge Market Research, Private Ltd.:

Data Bridge Market Research operates as a multinational management-consulting firm, boasting offices situated in both India and Canada. Renowned for our innovative and cutting-edge market analysis methodologies, we pride ourselves on our unparalleled durability and forward-thinking approaches. Our commitment lies in unravelling optimal consumer prospects and nurturing invaluable insights to empower your company's success within the market.

 

With a team comprising over 500 analysts specializing in various industries, we have been instrumental in serving over 40% of Fortune 500 companies on a global scale. Our extensive network boasts a clientele exceeding 5000+, spanning across the globe. At Data Bridge Market Research, our goal remains steadfast: to provide comprehensive market intelligence and strategic guidance to propel your business toward success.

 

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