MarkNtel Advisors recently published a detailed industry analysis of the Global Artificial Intelligence in Supply Chain Market. The report covers growth trends, geographical marketing strategies, challenges, opportunities, and drivers influencing the market.

Global Artificial Intelligence in Supply Chain Market Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2027

The Artificial Intelligence in Supply Chain Market is anticipated to grow at a CAGR of around 37.89% during the forecast period, 2022-27. 

What are the major Driver the Global Artificial Intelligence in Supply Chain industry?

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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What segments define the Global Artificial Intelligence in Supply Chain market from 2022 to 2027? How do these segments contribute to market dynamics and growth?

• By Application
• Fleet Management
• Supply Chain Planning
• Warehouse Management
• Virtual Assistant
• Machine Utilization
• Others (Risk Management, Freight Brokerage, etc.)

According to report, Here, Warehouse Management gained notable traction during the historical period.

• By Technology
• Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement
• Natural Language Processing (NLP)
• Context-Aware Computing
• Deep Learning
• Computer Vision

According to report, Among them, Machine Learning acquired a noteworthy share in the Global Artificial Intelligence in the Supply Chain market during 2017-21.

• By End User
• Automotive
• Aerospace
• Retail
• Food & Beverages
• Others (Healthcare, Energy, etc.)

According to report, Of them all, the rising investments in the Retail sector have emerged as the major demand generator for AI solutions in the supply chain.

• 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

According to report, Among the two, the Cloud Deployment Type acquired a considerable share in the Global Artificial Intelligence in the Supply Chain market during the historical period due to the increasing adoption of cloud services by the Small & Medium Enterprises (SMEs). Further, the companies have been inclined toward cloud-based services & provide digital transformation services to attain high scalability & cost-efficiency.

Explore the Complete Global Artificial Intelligence in Supply Chain Market Analysis Report –

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Geographical Analysis: Global Artificial Intelligence in Supply Chain Market

North America

South America

Europe

The Middle East & Africa

Asia-Pacific

Global Artificial Intelligence in Supply Chain Market Share & Competitive Landscape:

The Artificial Intelligence in Supply Chain Market is characterized by intense competition, with several key players driving growth through innovation, market expansion, and strategic investments. The competitive landscape provides valuable insights into the industry's leading companies, highlighting their strengths, financial performance, and market influence.

Leading Companies in the Global Artificial Intelligence in Supply Chain Market are:

• Hardware Providers
• Software Providers
• Telecommunication Data Providers
• Networking Solution Provider
• Data Analytics

Recent Developments by the Global Artificial Intelligence in Supply Chain Market

• In 2022, FedEx & Microsoft Corporation extended their partnership to offer ‘logistics as a service,’ to help businesses better fulfill, ship, and serve customer orders. In addition, the company started producing logistics solutions using data & AI in order to make deliveries more efficient.
• In 2020, BMW started working with Nvidia Corporation to advance AI in logistics. The company provides logistics robots with high-performance computer technology across various vehicle-making operations.

Questions Addressed in this Study

1.What factors are driving the Global Artificial Intelligence in Supply Chain Market growth?

2.How is the Global Artificial Intelligence in Supply Chain Market expected to grow over the next five years?

3.What are the key insights into the current trends in the Global Artificial Intelligence in Supply Chain Market?

4.What is the current size of the Global Artificial Intelligence in Supply Chain Market, and how is it projected to change in the future?

6.What is the future outlook for the Global Artificial Intelligence in Supply Chain Market in terms of technological advancements and market expansion?

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MarkNtel Advisors is a leading research, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.

Our specialization in niche industries & emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 15 diverse industrial verticals.

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