Overview of Global Artificial Intelligence in Supply Chain Market Size, Share, and Growth Forecast for 2022-27
The report aims to provide a comprehensive perspective on the Global Artificial Intelligence in Supply Chain Market : Industry Trends, Share, Size, Growth, Opportunity, and Forecast 2022-2027. It offers an industry overview, including an analysis of historical and future market growth. Key parameters such as revenue, demand, and applicable supply data are highlighted. The study offers regional estimates, forecasts, and trend analyses for various locations.
Report’s Study Period:
- Historical period: 2017 – 2020
- Base Year: 2021
- Forecasting period: 2022 – 2027
Insights and Analysis of the Global Artificial Intelligence in Supply Chain Market for the Period 2022-2027:
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.
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Global Artificial Intelligence in Supply Chain Market Dynamic:
Industry Driving Factor:
Increasing Demand for Warehouse Automation Solution
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.
Segmentation Analysis of the Artificial Intelligence in Supply Chain Market for the Period 2022-2027:
Our team of analysts has carefully studied the market using various methods and calculations to create a detailed analysis. We’ve broken down the market into different sections and thoroughly examined each one. This in-depth exploration has helped us identify the standout performing segment in each section by closely examining various aspects of the market.
We have delved into the factors and trends driving increased activity in these specific segments. Additionally, we have identified the main market participants who are actively involved in these segments, giving us a complete understanding of their unique characteristics. Our study also includes a comprehensive view of the market’s structural expansion, offering a clear framework to understand how it has evolved.
· By Application
o Fleet Management
o Supply Chain Planning
o Warehouse Management
o Virtual Assistant
o Machine Utilization
o Others (Risk Management, Freight Brokerage, etc.)
· By Technology
o Machine Learning
§ Supervised Learning
§ Unsupervised Learning
o Natural Language Processing (NLP)
o Context-Aware Computing
o Deep Learning
o Computer Vision
· By End User
o Food & Beverages
o Others (Healthcare, Energy, etc.)
· By Product Offering
· 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)
§ AI Solutions
§ AI Platform
· Application Program Interface (API)
· Machine Learning Framework
§ Deployment & Integration
§ Support & Maintenance
· By Deployment
· By Region
o North America
o South America
o The Middle East & Africa
o Asia Pacific
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Leading Market Position in The Artificial Intelligence in Supply Chain Market
In analysing the Artificial Intelligence in Supply Chain Market, we conduct a thorough competitive benchmarking assessment involving key firms such as
· Hardware Providers
o Nvidia Corporation
o Google LLC
o Intel Corporation
o Advanced Micro Devices (AMD)
o Micron Technology Inc.
o Cerebras Systems Inc.
· Software Providers
o SAP SE
o Amazon Web Services (AWS)
o Microsoft Azure
· Telecommunication Data Providers
o Verizon Communications Inc.
o AT&T Inc.
o BT Group
o The Nippon Telegraph and Telephone Corporation (NTT)
o Vodafone Group Plc
o Deutsche Telekom AG
o Reliance Industries Limited
· Networking Solution Provider
o Cisco Systems
o VMware, Inc.
o Schneider Electric SE
· Data Analytics
This evaluation entails a detailed review of each company’s product value, capabilities, and notable attributes. Moreover, our study encompasses recent mergers, acquisitions, and product launches by these firms, aiming to offer stakeholders valuable insights into the prevailing market dynamics.
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The Artificial Intelligence in Supply Chain Market Research Report for 2022-27 addresses several key questions:
1. How will the growth rate of the Artificial Intelligence in Supply Chain market progress during the projected period?
2. What market factors will serve as the foundation for shaping client and business strategies?
3. Which factors are currently exerting influence, including increased demand and ongoing market advancements?
4. Among the studied market segments, which one’s present promising avenues for extended growth opportunities?
5. Which company currently holds the leading market position?
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