Global Artificial Intelligence in Supply Chain Market Size, Share, Trends, Demand, Growth and Competitive Analysis
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 –
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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