Global Artificial Intelligence in Supply Chain Market

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Artificial Intelligence in Supply Chain Market is expected to reach US$ XX Mn by 2026 from US$ XX Mn in 2020 at a CAGR of 45.2% during the forecast period.

The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region.
Artificial Intelligence in Supply Chain Definition:

AI is a technology where machines are developed and created to mimic, learn, and replace human intelligence. Artificial intelligence has been equipped with computing techniques that support selecting large quantities of data from logistics and supply chains. Accurate inventory management, warehouse efficiency, enhanced worker and material safety, reduction of operation costs, and on-time delivery are some of the benefits of AI in the supply chain.
Artificial Intelligence in Supply Chain Market Dynamics:

Increasing demand for greater transparency and visibility into the supply chain data and processes is the main driving factor for the growth of Artificial Intelligence in the Supply Chain Market. AI in the supply chain leads to accurate predictions and quantification of expected outcomes across different stages of the schedule and enables the scheduling of more optimal alternatives as and when such interruptions occur during execution. AI-driven automated platforms offer a single virtualized data layerto reveal the cause and effect and eliminate it for improvement.

Government initiatives towards the adoption of technologies and policies promoting digitization are one of the key factors propelling the growth of Artificial Intelligence in the Supply Chain Market. In 2018, the Government of Quebec invested $60 million to support AI-powered supply chains supercluster. Similar investments were also made by the Government of Canada investing upto nearly $230 million for the AI-powered supply chain.

Such initiatives are bringing the manufacturing, retail, and information and communication technology sectors on the same platform to create intelligent solutions for supply chain management through the incorporation of robotics and artificial intelligence.

The high operating cost of the system can hamper Artificial Intelligence in Supply Chain Market. Because of the cost and energy involved, the cost of utility bills could directly impact the overhead expense of keeping them running.
Artificial Intelligence in Supply Chain Market Segment Analysis:

The report groups the Artificial Intelligence in Supply Chain Market in different segments like by offering, by technology, by application, by end-user, and by regionto forecast the revenues and analyze the market share of each segment over the forecast period.

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Based on technology, the Computer vision segment was dominant in 2019 and is expected to command a market share of xx% by 2026. The adoption of computer vision technologies is increasing rapidly in the supply chain processes of different industry verticals. Increasing awareness about the benefits of AI solutions and the availability of automation are some of the factors contributing to the growth of the segment. Amazon is utilizing computerized reasoning procedures for web-based shopping and it has automated its warehouse.
Based on end-user, the Artificial Intelligence in Supply Chain Market is segmented into Manufacturing, Food and Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods. The Retail sector segment was dominant in 2019 and is expected to command a market share of xx% by 2026.

Based on application, the Artificial Intelligence in Supply Chain Market is segmented into Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics. The Supply chain planning segment was dominant in 2019 and is expected to command a market share of xx% by 2026.The increasing demand for enhancing factory scheduling, production planning evolving agility, digitization of existing processes, and optimization of supply chain decision making are the main factors contributing to the growth of the segment.
Artificial Intelligence in Supply Chain Market Regional Insights:

Artificial Intelligence in Supply Chain Market2
ARTIFICIAL INTELLIGENCE IN SUPPLY CHAIN MARKETREGIONAL MAP

APACis expected to command the largest market share of xx% by 2026

Government initiatives towards the promotion and deployment of AI solutions and the growth of the e-commerce sector in developing economies like India and China are driving the growth of Artificial Intelligence in the Supply Chain Market. Growing investment in AI technology for productivity enhancement, the need for enhancing supply chain management, and the surge in the volume of real-time inventory data are contributing to the growth of AI technology in the region. With the increasing need for digitization in businesses and companies, digital supply chain technologies are considered extremely important for the future viability of businesses.

In North America, because of the presence of developed economies like the US and Canada, which are focusing on enhancing the existing solutions in the supply chain space, high adoption of advanced technologies and also the existence of major players are some of the factors driving the growth of the Artificial Intelligence in Supply Chain Market in the region.

The objective of the report is to present a comprehensive analysis of Artificial Intelligence in Supply Chain Marketto the stakeholders in the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language.

The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The report also helps in understanding Artificial Intelligence

gence in Supply Chain Market dynamics, structure by analyzing the market segments and projects Artificial Intelligence in Supply Chain Marketsize. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Artificial Intelligence in Supply Chain Market make the report investor’s guide.

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Scope of the Artificial Intelligence in Supply Chain Market: Inquire before buying

Artificial Intelligence in Supply Chain Market3
By Offering

• Hardware
• Software
• Services
By Technology

• Machine Learning
• Computer Vision
• Natural Language Processing
• Context-Aware Computing
By Application

• Supply Chain Planning
• Warehouse Management
• Fleet Management
• Virtual Assistant
• Risk Management
• Inventory Management
• Planning & Logistics
By End User

• Manufacturing
• Food and Beverages
• Healthcare
• Automotive
• Aerospace
• Retail
• Consumer-Packaged Goods
By Region

• North America
• Europe
• Asia Pacific
• ME&A
• South America
Artificial Intelligence in Supply Chain Market Key Players:

• Intel Corporation
• Amazon.com, Inc.
• Google LLC
• Microsoft Corporation
• Nvidia Corporation
• Oracle Corporation
• IBM Corporation
• Samsung (South Korea)
• Lamasoft Inc.
• SAP
• General Electric
• Deutsche Post AG DHL
• Xilinx
• Micron Technology, Inc.
• FedEx
• ClearMetalInc
• C.H. Robinson
• E2open
• Relex Solution
• Presenso
• Cainiao Network
• Splice Machine
• Logility

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