AI in Supply Chain Market to be Worth $41.23 Billion by 2030
Meticulous
Research®—a leading global market research company, published a
research report titled, ‘AI
in Supply Chain Market by Offering (Hardware, Software, Services), Technology (ML, NLP,
Others), Application (Demand Forecasting, Others) Deployment Mode, End-use
Industry (Manufacturing, F&B, Retail, Others) & Geography - Global
Forecast to 2030’.
According
to this latest publication from Meticulous Research®, the AI in
supply chain market is projected to reach $41.23 billion by 2030, at a CAGR of
38.8% from 2023 to 2030. The growth of the AI in supply chain market is driven
by the increasing incorporation of artificial intelligence in supply chain
operations and the rising need for greater visibility and transparency in
supply chain processes. However, high procurement and operating costs and the
lack of infrastructure restrain the growth of this market.
The
growing demand for AI-based business automation solutions is expected to
generate growth opportunities for the players operating in this market.
However, performance issues in integrating data from multiple sources and data
privacy & security concerns are major challenges for market growth.
Additionally, the rising demand for cloud-based supply chain solutions is a
prominent trend in the AI in supply chain market.
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Scope of the report:
AI in Supply Chain Market
Assessment, by Offering
·
Hardware
o
Processors
o
Storage
o
Networking
·
Software
·
Services
o
Deployment & Integration Services
o
Connectivity Services
o
Support & Maintenance Services
o
Consulting Services
AI in Supply Chain Market
Assessment, by Technology
·
Machine Learning
·
Natural Language Processing
·
Computer Vision
·
Robotic Process Automation
·
Context-aware Computing
AI in Supply Chain Market Assessment, by
Deployment Mode
·
Cloud-based Deployments
·
On-premises Deployments
AI in Supply Chain Market
Assessment, by Application
·
Demand Forecasting
·
Real-time Supply Chain Visibility
·
Supply Chain Planning
·
Inventory Management
·
Fleet Management
·
Warehouse Management
·
Other Applications
AI in Supply Chain Market
Assessment, by End-use Industry
·
Manufacturing
·
Retail
·
Food and Beverage
·
Automotive
·
Healthcare & Pharmaceuticals
·
Medical Devices & Consumables
·
Aerospace & Defence
·
Building & Construction
·
Other End-use Industries
AI in Supply Chain Market
Assessment, by Geography
·
North America
o
U.S.
o
Canada
·
Europe
o
Germany
o
U.K.
o
France
o
Italy
o
Spain
o
Sweden
o
Rest of Europe
·
Asia-Pacific
o
China
o
Japan
o
India
o
South Korea
o
Singapore
o
Rest of Asia-Pacific
·
Latin America
o
Brazil
o
Mexico
o
Rest of Latin America
·
Middle East & Africa
o
UAE
o
Israel
o
Rest of Middle East &
Africa
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Based on
offering, the global AI in supply
chain market is segmented into hardware, software, and services. In 2023, the
hardware is expected to account for the largest share of the global AI in
supply chain market. Artificial intelligence algorithms are becoming more
widespread in various industries and applications, but their performance is
often limited by the processing power of traditional CPUs. To improve the
capabilities of AI algorithms, some companies are developing new hardware
offerings such as graphics processing units (GPUs) and AI accelerators.
The
large market share of this segment is attributed to the advancements in data centre
capabilities, increasing deployment of machine learning solutions and its
ability to perform tasks without relying on human input, and the rapid adoption
of cloud-based technology across several industries. However, the software
segment is expected to record the highest CAGR during the forecast period.
Based on
technology, the global AI in supply
chain market is segmented into machine learning, computer vision, natural
language processing, context-aware computing, and robotic process automation.
In 2023, the machine learning segment is expected to account for the largest
share of the global AI in supply chain market. The large market share of this
segment is attributed to the advancements in data centre capabilities,
increasing deployment of machine learning solutions and its ability to perform
tasks without relying on human input, and the rapid adoption of cloud-based
technology across several industries. However, the robotic process automation
segment is expected to record the highest CAGR during the forecast period.
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Based on
deployment mode, the global AI in
supply chain market is segmented into cloud-based deployments and on-premises
deployments. In 2023, the cloud-based deployments segment is expected to
account for the larger share of the global AI in supply chain market. The large
market share of this segment is attributed to the increasing avenues for
cloud-based deployments, the superior flexibility and affordability offered by
cloud-based deployments, and the increasing adoption of cloud-based solutions
by small & medium-sized enterprises. Moreover, the cloud-based deployments
segment is expected to record the highest CAGR during the forecast period.
Based on
application, the global AI in
supply chain market is segmented into demand forecasting, supply chain
planning, warehouse management, fleet management, risk management, inventory
management, predictive maintenance, real-time supply chain visibility, and
other applications. In 2023, the demand forecasting segment is expected to
account for the largest share of the global AI in supply chain market. The
large market share of this segment is attributed to the rising initiatives to
integrate AI capabilities in supply chain solutions, dynamic changes in
customer behaviours and expectations, and the rising need to achieve accuracy
and resilience in the supply chain. However, the real-time supply chain
visibility segment is expected to record the highest CAGR during the forecast
period.
Based on
end-use industry, the global AI
in supply chain market is segmented into manufacturing, food and beverage,
healthcare & pharmaceuticals, automotive, retail, building &
construction, medical devices & consumables, aerospace & defence, and
other end-use industries. In 2023, the manufacturing segment is expected to
account for the largest share of the global AI in supply chain market. The
large market share of this segment is attributed to the increasing number of
manufacturing companies, favourable initiatives to integrate artificial
capabilities in the supply chain, and manufacturers’ vision to achieve accuracy
and resilience in the supply chain. However, the retail segment is expected to
record the highest CAGR during the forecast period.
Based on
geography, the AI in supply
chain market is segmented into North America, Europe, Asia-Pacific, Latin
America, and the Middle East & Africa. In 2023, Asia-Pacific is expected to
account for the largest share of the global AI in supply chain market. In
Asia-Pacific, the level of awareness has increased as governments have come to
understand the potential for the advancement of AI in the economy.
Growing
advancements in supply chain solutions are leading various businesses to deploy
supply chain solutions to adopt advanced decision-making capabilities. For
instance, in March 2023, Sabre GLBL Inc. (U.S.), a leading software and
technology provider, announced the successful implementation of its Revenue
Optimizer and Dynamic Availability solutions at Virgin Australia Airlines Pty
Ltd (Australia). Rising supply chain solutions, countries increasing focus on
artificial intelligence deployment, and increased collaborative efforts are the
key growth drivers for the regional market. However, the Asia-Pacific is
expected to record the highest CAGR during the forecast period.
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Key Players
Some
of the key players operating in the AI in supply chain market are Intel
Corporation (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc.
(U.S.), Google LLC (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation
(U.S.), IBM Corporation (U.S.), C3.ai, Inc. (U.S.), SAP SE (Germany), Samsung
SDS CO., Ltd. (South Korea), Coupa Software Inc. (U.S.), Micron Technology,
Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), General Electric Company
(U.S.), FedEx Corporation (U.S.), and Deutsche Post DHL Group (Germany).
Key
questions answered in the report-
· Which are the high-growth market segments based on offering,
technology, deployment mode, application, and end-use industry?
· What was the historical market for AI in the supply chain?
· What are the market forecasts and estimates for the period
2023–2030?
· What are the major drivers, restraints, and opportunities in AI in
supply chain market?
· Who are the major players, and what shares do they hold in the AI
in supply chain market?
· How is the competitive landscape in the AI in supply chain market?
· What are the recent developments in AI in the supply chain market?
· What are the different strategies adopted by the major players in
AI in the supply chain market?
· What are the key geographic trends, and which are the high-growth
countries?
· Who are the local emerging players in the global AI in supply
chain market, and how do they compete with the other players?
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