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.
There 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 competitor strategies analysed here generally include new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others that boost their footprints in the market. For an achievement of business at local, regional as well as international level, this high quality Artificial Intelligence in Supply Chain market research report is a definitive solution. In addition, this market report comprises of vital aspects of the market that contains but are not limited to historic data, present market trends, environment, future trends, technological innovation, upcoming technologies and the technical progress in the ABC industry. With the utilization of few steps or a number of steps, the process of generating persuasive Artificial Intelligence in Supply Chain market report is commenced with the expert advice.
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Major Market Competitors/Players
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.
Segmentation : Global Artificial Intelligence in Supply Chain Market
- 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.
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request FREE TOC at @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-supply-chain-market&utm_source=SagarK&utm_medium=SagarK&utm_campaign=SagarK
Country Level Analysis
The Artificial Intelligence in Supply Chain market is analysed and market size insights and trends are provided by country, distributional channel, end-user, connectivity and lawn covered as referenced above.
The countries covered in the Artificial Intelligence in Supply Chain market report are U.S., Canada and Mexico in North America, Peru, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Hungary, Lithuania, Austria, Ireland, Norway, Poland, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Vietnam, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), South Africa, Saudi Arabia, U.A.E, Kuwait, Israel, Egypt, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
Artificial Intelligence in Supply Chain market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Artificial Intelligence in Supply Chain market.
Key Insights in the report:
- Complete and distinct analysis of the market drivers and restraints
- Key market players involved in this industry
- Detailed analysis of the market segmentation
- Competitive analysis of the key players involved
Major Highlights of Artificial Intelligence in Supply Chain Market in Covid-19 pandemic covered in report:
The report provides impact of COVID-19 on Artificial Intelligence in Supply Chain market along with its impact on overall industry and economy of world. Further, it adds changes in consumer buying behavior as it impacts majorly on market growth and sales. Distributors and traders on marketing strategy analysis focusing on region wise needs in covid-19 pandemic is also added in the Artificial Intelligence in Supply Chain market report. The last segment of COVID-19 impact chapter include recovery and major changes opted by major players involved in Artificial Intelligence in Supply Chain market.
Reasons to Purchase this Report:
- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
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Table of Content:
PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SIZING
PART 07: FIVE FORCES ANALYSIS
PART 08: MARKET SEGMENTATION BY PRODUCT
PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL
PART 10: CUSTOMER LANDSCAPE
PART 11: MARKET SEGMENTATION BY END-USER
PART 12: REGIONAL LANDSCAPE
PART 13: DECISION FRAMEWORK
PART 14: DRIVERS AND CHALLENGES
PART 15: MARKET TRENDS
PART 16: COMPETITIVE LANDSCAPE
PART 17: COMPANY PROFILES
PART 18: APPENDIX
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