According to MarkNtel Advisors, The Global Artificial Intelligence in Supply Chain Market (2022-2027) research report includes a thorough analysis of the current market size, share, overview, and future growth that are impacting the market and includes a complete study of key drivers and trends relevant to this developing domain. Consumers can use the study to identify industry possibilities and obstacles. On the basis of the geographical environment, it fully provides the most recent information about the latest development of the Global Artificial Intelligence in Supply Chain industry.
The qualitative aspects of the market analysis are also highlighted in the report. The study incorporates the most important research findings regarding the market landscape and investment potential. Based on their revenue size, service/product portfolio, regional presence, important strategies policies, and overall contribution to the market forecast.
The Primary Objectives of This Global Artificial Intelligence in Supply Chain Market Report Are -
- To estimate the market size and potential markets.
- To assess the market growth potential over the forecast period.
- To determine how the marketplace is affected by competing factors.
- To profile the major players in the Global Artificial Intelligence in Supply Chain market based on company overview, production, product portfolio, value, price, gross margin, geographical presence, and significant advancements.
- To offer important information on market trends, opportunities, challenges, new product launches, or regulatory approvals.
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The Dynamic of Global Artificial Intelligence in Supply Chain Market –
Driving Factor -
The increasing demand for warehouse automation for various applications such as robotics, computer vision, and language processing tools to streamline warehouse operations led to the increased demand for Artificial Intelligence (AI) in recent years. In addition, there are several benefits of using AI in warehouse automation such as to improve productivity, increase accuracy, and enhancement of security, which would result in increased demand for AI in warehouse operations in the coming years.
Furthermore, using AI solutions result in a reduction of errors in warehouse operations. AI robots can wisely understand the warehouse environment, thus improving the accuracy of placing items recovering them when required. In addition, warehouses utilize various technologies such as IoT, computer vision, and AI that helps to improve the accuracy during warehouse operations. Hence, the rising demand for warehouse automation solutions resulted in escalating the demand for AI-based services in the supply chain.
Major Challenges -
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.
Competitive Landscape -
The key players in the market, their market shares, product portfolios, and company profiles are all included in this analysis. Based on gross margin, market value, and price structure, these market participants are examined. The Global Artificial Intelligence in Supply Chain market competition scenario between the participants will aid to develop market strategies for those who are aspiring to work in the industry. The numeric figures in this study report can serve as a precise and useful reference while determining how to shape corporate growth.
The Following Players Are Examined in This Study Report:
Hardware Providers
- Nvidia Corporation
- Google LLC
- Intel Corporation
- Advanced Micro Devices (AMD)
- Micron Technology Inc.
- Cerebras Systems Inc.
Software Providers
- SAP SE
- SAS
- Amazon Web Services (AWS)
- IBM
- Microsoft Azure
- Oracle
Telecommunication Data Providers
- Verizon Communications Inc.
- ATT Inc.
- BT Group
- The Nippon Telegraph and Telephone Corporation (NTT)
- Vodafone Group Plc
- Deutsche Telekom AG
- Reliance Industries Limited
Networking Solution Provider
- Cisco Systems
- Dell
- VMware, Inc.
- Schneider Electric SE
Data Analytics
- Qlik
- Alteryx
- Salesforce
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Global Artificial Intelligence in Supply Chain Market Segments Analyzed in The Report Are -
This section provides a thorough study of the Global Artificial Intelligence in Supply Chain market segmentation. It is described how the statistical analysis of Segments helped to comprehend the target market. It provides growth projections for 2023–2028 at the regional, and national levels. The study analyzes major trends in each of the mentioned segment in the market. This study examines the opportunities, trends, and important aspects that contribute to the demand in the continuing market evolution.
Segment, By Application
- Fleet Management
- Supply Chain Planning
- Warehouse Management
- Virtual Assistant
- Machine Utilization
- Others (Risk Management, Freight Brokerage, etc.)
Segment, By Technology
- Machine Learning
-- Supervised Learning
-- Unsupervised Learning
-- Reinforcement
- Natural Language Processing (NLP)
- Context-Aware Computing
- Deep Learning
- Computer Vision
Segment, By End User
- Automotive
- Aerospace
- Retail
- Food Beverages
- Others (Healthcare, Energy, etc.)
Segment, 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
Segment, By Deployment
- On-Premise
- Cloud
Regions Dividation of Global Artificial Intelligence in Supply Chain Industry
On the Regional front the market expends across the -
- North America
- South America
- Europe
- The Middle East Africa
- Asia Pacific
The Areas of Concentration That Support And Drive Research Projects And Endeavors Are -
- What are the fundamental and core competencies of the new entrants and the established firms in the market we are analyzing?
- What branding opportunities are there that are developing quickly?
- What main competitive forces are influencing the sector?
- Why do the leading companies in the sector favor particular viable techniques over others?
- What are some of the most important pricing strategies policies used by businesses in a certain sector to market their goods/services globally?
- What marketing tactics are suitable for a specific service or product?
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Why This Report?
Our report on the Global Artificial Intelligence in Supply Chain Market can also be customized based on the client's requirements in terms of geographical area, segments, or market participants.
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