Artificial Intelligence in Supply Chain Market stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.
The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market. The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.
Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027. Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
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Market Drivers and Restraints:
Based on technology, 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, 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, artificial intelligence in supply chain market has been segmented automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods and food & beverages.
The major players covered in the Artificial Intelligence in Supply Chain Market
The major players covered in the artificial intelligence in supply chain market report are Amazon, ClearMetal Inc., Deutsche Post AG DHL, FedEx, General Electric, Google LLC, IBM Corporation, Intel Corporation, LLamasoft Inc., Micron Technology, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP, Samsung, Xilinx, Fraight AI, C.H. Robinson, E2open, Relex Solution, Presenso, Cainiao Network, Splice Machine, Logility, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Major TOC Of The Report
Chapter One: Artificial Intelligence in Supply Chain Market Overview
Chapter Two: Manufacturers Profiles
Chapter Three: Global Artificial Intelligence in Supply Chain Market Competition, by Players
Chapter Four: Global Artificial Intelligence in Supply Chain Market Size by Regions
Chapter Five: North America Artificial Intelligence in Supply Chain Market Revenue by Countries
Chapter Six: Europe Artificial Intelligence in Supply Chain Market Revenue by Countries
Chapter Seven: Asia-Pacific Artificial Intelligence in Supply Chain Market Revenue by Countries
Chapter Eight: South America Artificial Intelligence in Supply Chain Market Revenue by Countries
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request Detailed TOC at @
Key Report Highlights
Comprehensive pricing analysis based on different product types and regional segments
Market size data in terms of revenue and sales volume
Deep insights about regulatory and investment scenarios of the global Artificial Intelligence in Supply Chain Market
Analysis of market effect factors and their impact on the forecast and outlook of the global Artificial Intelligence in Supply Chain Market
The detailed assessment of the vendor landscape and leading companies to help understand the level of competition in the global Artificial Intelligence in Supply Chain Market
A roadmap of growth opportunities available in the global Artificial Intelligence in Supply Chain Market with the identification of key factors
The exhaustive analysis of various trends of the global Artificial Intelligence in Supply Chain Market to help identify market developments
Key Questions Answered in Report:
What is the key to the Automated Passenger Counting and Information System Market ?
What will the Artificial Intelligence in Supply Chain Market Demand and what will be Growth?
What are the latest opportunities for Artificial Intelligence in Supply Chain Market in the future?
What are the strengths of the key players?
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Market Analysis The artificial intelligence in supply chain market is predicted to touch USD 3-4 billion at a whopping 37% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis.
The use of AI in the supply chain is enabling companies to automate decision making, offer better human resource utilization, improve efficiencies, improve supply chain management productivity, & helps to engage with customers in the digital world.
Various factors are propelling the global artificial intelligence in supply chain market share.
On the contrary, lack of infrastructure, high procurement operating price, shortage of artificial intelligence technology experts, and the ongoing COVID-19 impact are factors that may impede the global artificial intelligence in supply chain market growth in the region.
By application, the global artificial intelligence in supply chain market is segmented into risk management, supplier relationship management, logistics and shipping, supply chain planning, warehouse management, fleet management, and others.
Of these, the retail sector will have a major share in the market over the forecast period.
Artificial intelligence in supply chain market is a rise in demand for greater visibility and transparency in the supply chain and logistics data maintained by the companies and hence this factor will be the driving factor for the growth of the market.
Artificial Intelligence stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market.
The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027.
Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.This Artificial Intelligence in Supply Chain Market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of Cardinal Health industry.
The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market.
This Artificial Intelligence in Supply Chain Market report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in Healthcare industry.
