The Global Artificial Intelligence in Supply Chain Market size is anticipated to grow at a CAGR of around 37.89% during the forecast period, 2022-27., says MarkNtel Advisors. According to MarkNtel Advisors Study.
Global Artificial Intelligence in Supply Chain Market Driver:
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.
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Key Market Reports Highlights
- Market Dimensions & Projections
- Pricing Evaluation
- Recent Strategic Moves by Companies
- Primary Stakeholders
- Import/Export Trend Analysis
- Competitive Landscape Assessment
- Emerging Opportunities
- Market Trends and Indicators
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Global Artificial Intelligence in Supply Chain Market Segmentation:
The market report categorizes the market based on different segments and geographical analysis.
Study Timeline:
-Base Year: 2021
-Historical Period: 2017 to 2020
-Forecast Period: 2022 to 2027
- 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
- Machine Learning
- 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
- Processor
- Software
- AI Solutions
- AI Platform
- Application Program Interface (API)
- Machine Learning Framework
- Services
- Deployment & Integration
- Support & Maintenance
- Hardware
- By Deployment
- On-Premise
- Cloud
- By Region
- North America
- South America
- Europe
- The Middle East & Africa
- Asia Pacific
Competitive Landscape
With strategic initiatives, such as mergers, collaborations, and acquisitions, the leading market companies, including – Nvidia Corporation, Google LLC, SAP SE, SAS, Amazon Web Services (AWS), Verizon Communications Inc, AT&T Inc, Cisco Systems, Dell, Qlik, Others are looking forward to strengthening their market positions.
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