MarkNtel Advisors has just released a comprehensive research report on the Global Artificial Intelligence in Supply Chain Market. Tailored to provide valuable insights and assistance to clients navigating this dynamic market, our report addresses the key objectives of predicting trends, gaining a profound understanding of market perspectives, identifying strategic investment opportunities, and evaluating potential business partners. By adopting a meticulous approach, we aim to empower our clients with the information needed to make informed decisions, enabling them to thrive in the ever-evolving landscape of the Global Artificial Intelligence in Supply Chain industry.
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The Global Artificial Intelligence in the Supply Chain market is anticipated to grow at a CAGR of around 37.89% during the forecast period, 2022-27. Numerous factors backing the market growth have been comprehensively analyzed in the research report, making it feasible for clients to put their best leg forward and ensure they get an edge over competitors. We understand how important data is in this modern world, which is why we have meticulously curated data sheets for each segment of the market.
The Global Artificial Intelligence in Supply Chain market is highly robust and fragmented. Citing this, we have segregated the market into numerous segments, such as
By Application
-Fleet Management
-Supply Chain Planning
-Warehouse Management
-Virtual Assistant
-Machine Utilization
-Others (Risk Management, Freight Brokerage, etc.)
By Technology
-Machine Learning
-Supervised Learning
-Unsupervised Learning
-Reinforcement
-Natural Language Processing (NLP)
-Context-Aware Computing
-Deep Learning
-Computer Vision
By End User
-Automotive
-Aerospace
-Retail
-Food & Beverages
-Others (Healthcare, Energy, etc.)
By Product Offering
-Hardware
-Processor
-Graphics Processing Unit (GPU)
-Vision Processing Unit (VPU)
-Field-Programmable Gate Array (FPGA)
-Application-Specific Integrated Circuit (ASIC)
-Others (Tensor Processing Unit (TPU), Microprocessor (MPU)
Networking
-Memory
-Software
-AI Solutions
-AI Platform
-Application Program Interface (API)
-Machine Learning Framework
-Services
-Deployment & Integration
-Support & Maintenance
By Deployment
-On-Premise
-Cloud
By Region
-North America
-South America
-Europe
-The Middle East & Africa
-Asia Pacific.
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These segments are further subdivided into various sub-segments. It is done to identify the sub-segment that is more promising and has the highest market share in order to leverage the maximum profit. Knowing beforehand the lucrative segment of the market would make the client stand out in terms of revenue and sales.
Considering the significance of mergers and partnerships for Global Artificial Intelligence in Supply Chain businesses, our analysts have effectively identified and evaluated potential business partners in the Global Artificial Intelligence in Supply Chain market report. As per the report, the key players in the market are
-Nvidia Corporation
-Google LLC
-Intel Corporation
-Advanced Micro Devices (AMD)
-Micron Technology Inc.
-Cerebras Systems Inc.
Our report delves deeper in an attempt to offer actionable insights into prospective partners’ reputability, reliability, and capabilities. Clients can make informed decisions regarding partnerships, ensuring their vision is in line with the partnering entities and fostering business objectives within the Global Artificial Intelligence in Supply Chain market.
Taking into account the historical trends, market growth graph, consumer preferences, and other factors, the ascension of the Global Artificial Intelligence in Supply Chain market is inevitable. The market for Global Artificial Intelligence in Supply Chain seems opportunistic during the forecast years of 2022-27, backed by favorable regulations, making the market players thrive in the next five years.
Possible Restraint: Additional Cost of Training IT Personnel to Hinder the Market Growth
The increased expense incurred throughout the training process adds to the buyer’s financial burden and could impede market expansion. New technologies such as AI, Machine Learning, and Natural Language Processing require training & background of technical know-how that again needs impressive investment in terms of time & money. Therefore, small- & medium-scale retailers are deterred from investing their resources, hence further hindering the market growth.
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