Artificial Intelligence in Supply Chain Market Is Likely to Grasp the CAGR of 8.60% by 2029, Size, Share, Challenges and Competitive Analysis

Data Bridge Market Research’s latest report, “Artificial Intelligence in Supply Chain Market” provides a thorough analysis of growth strategies, drivers, opportunities, key segments, Porter’s Five Forces analysis, and the competitive landscape, offering valuable insights for industry professionals. Artificial Intelligence in Supply Chain is the finest market research report, which is the result of a proficient team and their potential capabilities. In this market research report, data collection modules with large sample sizes are used to collect data and perform base year analysis. The market research data included in this report is analyzed and forecasted using market statistical and coherent models. This wide-ranging market analysis report puts light on many aspects related to Artificial Intelligence in Supply Chain industry and market. Market definition, market segmentation, competitive analysis, and research methodology are the major topics covered in the Winning Artificial Intelligence in Supply Chain business report.

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.

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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.

Key areas covered in the report are:

• Determining factors influencing the size and growth rate of the Artificial Intelligence in Supply Chain market.
• Analyzing significant changes expected in the Artificial Intelligence in Supply Chain Market in the near future.
• Identifying noteworthy competitors operating in this market.
• Exploring the future scope and product outlook of the Artificial Intelligence in Supply Chain Market.
• Identifying emerging markets that hold potential for future growth.
• Addressing the challenging obstacles and threats present in the market.
• Presenting sales data and profiles of leading Artificial Intelligence in Supply Chain manufacturers worldwide.

Key players operating in the Artificial Intelligence in Supply Chain market include:

Some of the major players operating 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.

Artificial Intelligence in Supply Chain Market Segmentations:

• 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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Artificial Intelligence in Supply Chain Market Country Level Analysis

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 country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

It’s in your best interest to take this report into consideration because:

• Strong and extensive research methods were used to construct this study. The thoroughness and precision of the market reports produced by Data Bridge Market Research have earned them a great reputation.
• A complete picture of the competitive scenario of the Artificial Intelligence in Supply Chain market is depicted by this report.
• The wide range of research on how these innovations may affect market expansion in the future.
• The report’s findings are presented in an approachable format, with accompanying visuals (such as histograms, bar graphs, pie charts, etc.) that make the data readily digestible.
• The potential, threats, and difficulties in the Artificial Intelligence in Supply Chain market, as well as the factors driving and restraining it, are discussed at length.
• It gives an all-encompassing evaluation of the anticipated conduct of the future market and the changing market condition.
• This study provides a number of strategic business approaches to assist you in making educated business decisions.

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC: https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-supply-chain-market&Somesh=

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