Press release
Artificial Intelligence In Inventory Management Market Trends, Drivers, Strategies, Applications and Competitive Landscape 2026 | 26.30% CAGR
The Global Artificial Intelligence In Inventory Management Market Ecosystem was valued at US$ 1,670.3 Million in 2018 and is expected to reach US$ XX Million by the end of the forecast period, expanding at a CAGR of 26.30% by 2027.The ripple effect of Coronavirus-COVID19 on the Artificial Intelligence in Inventory Management Market Ecosystem needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the Artificial Intelligence in Inventory Management Market. Key datasets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.
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AI is equipped with computing techniques that help select and analyze large quantities of data collected from inventory management operations. Several organizations are focusing on digitizing their supply chain processes using AI. Augmenting the efficiency of supply chain operations is the key focus area for several organizations across end-use industries such as retail, automotive, and healthcare, among others. Owing to the penetration of artificial intelligence, many organizations are adopting this technology to ramp up their supply chain operations and thereby, increase profitability and reshape their businesses.
Market Segmentation:
Following Top Key players are profiled in this Market Study:
Microsoft Corporation, Google, SAP, Salesforce.com, Inc., Amazon.com, Inc, and more...
By Application: Retail, Healthcare, Automotive, Oil & Gas, Aerospace & Defense, Others.
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Global Artificial Intelligence in Inventory Management Market Ecosystem
The success of artificial intelligence in accelerating business processes has attracted significant investments as well. For instance, in 2018, the government of Quebec has reportedly invested approximately US$ 60 Mn for supporting AI-enabled supply chain supercluster. In the same year, the Canadian government invested approximately US$ 230 Mn for supporting AI-enabled supply chain supercluster. Such investments have greatly improved the supply chain operations of several organizations across end-use industries. Machine learning integrated in inventory management helps in warehouse management through predictive abilities that can forecast the future demand and supply appropriately.
Regional Analysis:
Based on regions, North America dominated the global market for AI in inventory management and is expected to display similar trends in the coming years as well. The Asia Pacific is expected to display higher growth during the forecast period, with China, India, and Japan spearheading the growth of the market. China, for instance, is gearing itself to become the global superpower for artificial intelligence. AI is expected to upgrade and connect the entire country across all industries by 2025. The implementation of AI will control companies and help produce goods while keeping the demand and supply gap in check. The retail industry in China is gearing up for a dramatic change as well. The industry is shifting towards a new concept known as 'New Retail', which is an amalgamation of online and offline retail.
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Table of Content:
Ecosystem Report - Table of Content
1. Introduction
1. Global Artificial Intelligence in Inventory Management Market Ecosystem Definition
2. Scope of study
2. Executive Summary
1. Global Market Segmentation
Artificial Intelligence in Inventory Management Market Ecosystem Positioning
1. Global Artificial Intelligence in Inventory Management Market Ecosystem Snapshot
2. Global Artificial Intelligence in Inventory Management Market Ecosystem Segmentation
1. By Component
Artificial Intelligence in Inventory Management Market Ecosystem Sizing, Volume, and ASP Analysis & Forecast
1. Global Artificial Intelligence in Inventory Management Market Ecosystem Sizing & Volume
1. Cross-segmentation
And More...
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