Generative AI in Logistics Market: Transforming Supply Chains with Intelligent Solutions
Market Overview:
The
Global Generative AI in Logistics Market size was valued at USD 525 Million in
2023 and is projected to reach USD 3,951.73 Million by 2030, growing at a CAGR
of 28.70% from 2023 to 2030.
The Generative AI in Logistics Market is
undergoing significant transformation, fueled by the integration of artificial
intelligence (AI) technologies into the logistics and supply chain management
sectors. Generative AI, a subset of AI, enables systems to autonomously
generate new content or solutions based on patterns and data inputs. In the
logistics industry, this technology is revolutionizing operations by enhancing
efficiency, optimizing routes, and predicting demand patterns. As the demand
for streamlined and data-driven logistics solutions rises, the Generative AI in
Logistics Market is becoming a pivotal force in shaping the future of supply
chain management.
Leading
companies reviewed in the Generative AI in Logistics Market report is:
IBM Corporation (US), Google LLC (US), Amazon Web
Services Inc. (US), Microsoft Corporation (US), Oracle Corporation (US), SAP SE
(Germany), Intel Corporation (US), Nvidia Corporation (US), Cognizant
Technology Solutions Corp. (US), Accenture PLC (Ireland), JDA Software Group
Inc. (US), Blue Yonder (US), LLamasoft Inc. (US), Manhattan Associates Inc.
(US), Infor Inc. (US), Kinaxis Inc. (Canada), Salesforce.com Inc. (US),
Honeywell International Inc. (US), SAS Institute Inc. (US), Zebra Technologies
Corporation (US) and other major players.
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Key
Chapter Will Be Provided In The Report
· Patent
Analysis
· Regulatory
Framework
· Technology
Roadmap
· BCG
Matrix
· Heat
Map Analysis
· Price
Trend Analysis
· Investment
Analysis
· Company
Profiling and Competitive Positioning
· Industry
Value Chain Analysis
· Market
Dynamics and Factors
· Porter’s
Five Forces Analysis
· Pestle
Analysis
· SWOT
Analysis
Market
Driver:
A key driver propelling the Generative AI
in Logistics Market is the increasing need for real-time decision-making and
optimization in supply chain operations. The logistics industry faces
challenges such as complex networks, fluctuating demand, and the need for
cost-effective and environmentally friendly transportation solutions.
Generative AI addresses these challenges by analyzing vast datasets, predicting
potential disruptions, and generating optimal solutions. The ability of
Generative AI to adapt and improve continuously based on evolving data sets is
driving its adoption across logistics operations, enhancing efficiency and
responsiveness to dynamic market conditions.
Market
Opportunity:
An exciting opportunity within the
Generative AI in Logistics Market lies in the development of comprehensive
end-to-end solutions that seamlessly integrate generative AI across the entire
supply chain. This includes applications in demand forecasting, route
optimization, inventory management, and predictive maintenance. Companies in
the market have the opportunity to collaborate with logistics providers to
implement customized generative AI solutions that address specific pain points
and challenges faced by the industry. Additionally, leveraging generative AI
for sustainability initiatives, such as optimizing transportation routes to
reduce carbon footprint, presents a significant opportunity for market players
to align with environmental and corporate social responsibility goals.
Segmentations
Analysis of Generative AI in Logistics Market
By
Type
·
Predictive Analytics
·
Prescriptive Analytics
·
Cognitive Computing
By
Component
·
Software
·
Hardware
·
Services
By
Deployment Mode
·
On-Premises
·
Cloud-based
By
Application
·
Route Optimization
·
Inventory Management
·
Warehouse Management
·
Supply Chain Analytics
·
Last-Mile Delivery Optimization
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Regional
Insights:
o
US
o
Canada
o
Mexico
·
Eastern Europe
o
Bulgaria
o
The Czech Republic
o
Hungary
o
Poland
o
Romania
o
Rest of Eastern Europe
·
Western Europe
o
Germany
o
UK
o
France
o
Netherlands
o
Italy
o
Russia
o
Spain
o
Rest of Western Europe
·
Asia Pacific
o
China
o
India
o
Japan
o
South Korea
o
Malaysia
o
Thailand
o
Vietnam
o
The Philippines
o
Australia
o
New Zealand
o
Rest of APAC
·
Middle East & Africa
o
Turkey
o
Bahrain
o
Kuwait
o
Saudi Arabia
o
Qatar
o
UAE
o
Israel
o
South Africa
·
South America
o
Brazil
o
Argentina
o
Rest of SA
Important Features
that are under offering & key highlights of the report:
·
The
primary objective is to underline the competitive structure of Global Generative
AI in Logistics Industry.
·
The
research includes study of several small to medium-sized companies that compete
with each other and large enterprises.
·
Which
segment has the potential to gain the highest market share?
·
Identifying
Untapped Geographic Market Territory with growth Potential of Generative AI in
Logistics Market
·
Identify
regional factors impacting production studied at Global scale.
·
Insights
on Regulatory & Economic policies by geography giving ease to Market entry.
·
What
product features & benefits offered by Industry players studied and broken
down by diverse group of customer class.
·
Correlate
cost structure historical data with key business segments
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Key
Industry Developments in the Generative AI in Logistics Market
In
June 2023, Accenture Ventures recently made a significant strategic
investment in Parfin. This investment by Accenture in Parfin is the first
“Project Spotlight" investment by Accenture Ventures in the Latin American
region.
Key
Reasons to Purchase:
1) To gain insightful analyses of the market and have
comprehensive understanding of the global market and its commercial landscape.
2) Assess the production processes, major issues, and
solutions to mitigate the development risk.
3) To understand the most affecting driving and
restraining forces in the Generative AI in Logistics market and its impact in
the global market.
4)
Learn about the Generative AI in Logistics market strategies that are being
adopted by leading respective organizations.
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We hold the expertise in demand analysis and estimation of multidomain
industries with encyclopedic competitive and landscape analysis. Also, our
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