"Artificial Intelligence in Supply Chain Market: Transformative Technologies Shaping Logistics, Trends, and Future Outlook (2023-2029)"

Artificial Intelligence in Supply Chain Market size was valued at US$ 3.34 Bn. in 2022 and the total revenue is expected to grow at 45.5 % through 2023 to 2029, reaching nearly US$ 46.15 Bn.

Artificial Intelligence in Supply Chain Market Report Scope:

Delving into the intricacies of the Artificial Intelligence in Supply Chain Market, this comprehensive report covers key segments such as technology (Machine Learning, Computer Vision, Natural Language Processing, and Context-Aware Computing) and applications (Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management, and Planning & Logistics). The report offers a detailed examination of the market landscape, providing valuable insights for strategic decision-makers.

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Artificial Intelligence in Supply Chain Market Research Methodology:

The report is a product of extensive research employing a robust methodology that integrates primary and secondary research sources. Thorough data collection and analysis processes ensure the accuracy and reliability of the findings. The report meticulously analyzes the impact of the COVID-19 lockdown on market leaders, followers, and disruptors, considering the diverse implementation of lockdown measures across regions and segments.

What are Artificial Intelligence in Supply Chain Market Dynamics:

Identifying and analyzing key drivers propelling the Artificial Intelligence in Supply Chain Market's growth, the report emphasizes factors such as the need for transparent and observable work methods, rising awareness of big data and analytics technologies, and the operational benefits of AI technology in saving time and costs. The report provides a comprehensive understanding of the market's upward trajectory, offering strategic insights for stakeholders.

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Artificial Intelligence in Supply Chain Market Regional Insights:

The North American region held the largest market share in 2022, driven by developed economies focused on improving supply chain solutions and the presence of key industry participants. Asia Pacific is expected to grow at the highest CAGR, attributed to rapid economic development, a tech-savvy population, and increasing adoption of AI-based solutions in supply chain operations.

What is Artificial Intelligence in Supply Chain Market Segmentation:

by Offering

Hardware
Software
Services

by Technology

Machine Learning
Computer Vision
Natural Language Processing
Context-Aware Computing

The Artificial Intelligence in Supply Chain market is divided into four sub-segments based on technology: Context-Aware Computing, Computer Vision, Natural Language Processing, and Machine Learning. In 2022, the Machine Learning sector accounted for xx% of the total market share. This growth may be ascribed to increased government activity, a growing need for AI-based intelligent solutions, and the capacity of AI solutions to quickly detect, analyse, and handle massive volumes of data. In 2022, Computer Vision accounted for the second-largest market share, with x%. Computer vision technologies are being used more and more in supply chain operations across a range of industrial sectors.

by Application

Supply Chain Planning
Warehouse Management
Fleet Management
Virtual Assistant
Risk Management
Inventory Management
Planning & Logistics

The supply chain artificial intelligence market is divided into several segments based on the applications used, including supply chain planning, fleet management, warehouse management, virtual assistants, risk management, inventory management, and planning & logistics. In 2022, the Supply Chain Planning sector accounted for xx% of the total market share. This industry may increase as a result of the increasing need for better production planning and scheduling in factories, as well as the increasing agility and simplification of supply chain decision-making. Additionally, this segment's growth is being driven by the automation of current workflows and procedures to reimagine the supply chain planning paradigm.

by End-User

Manufacturing
Food and Beverages
Healthcare
Automotive
Aerospace
Retail
Consumer-Packaged Goods

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Who are Artificial Intelligence in Supply Chain Market Key Players:

6. Oracle Corporation
7. IBM Corporation
8. Samsung (South Korea)
9. Lamasoft Inc.
10.SAP
11.General Electric
12.Deutsche Post AG DHL
13.Xilinx
14.Micron Technology, Inc.
15.FedEx
16.ClearMetalInc
17.C.H. Robinson
18.E2open
19.Relex Solution
20.Presenso
21.Cainiao Network
22.Splice Machine
23.Logility
24.LLamasoft Inc.
25.Micron Technology

Table of content for the Artificial Intelligence in Supply Chain Market includes:

Global Artificial Intelligence in Supply Chain Market : Research Methodology
Global Artificial Intelligence in Supply Chain Market : Executive Summary
Market Overview and Definitions
Introduction to the Global Market
Summary
Key Findings
Recommendations for Investors
Recommendations for Market Leaders
Recommendations for New Market Entry
Global Artificial Intelligence in Supply Chain Market : Competitive Analysis
MMR Competition Matrix
Market Structure by region
Competitive Benchmarking of Key Players
Consolidation in the Market
MandA by region
Key Developments by Companies
Market Drivers
Market Restraints
Market Opportunities
Market Challenges
Market Dynamics
PORTERS Five Forces Analysis
PESTLE
Regulatory Landscape by region
North America
Europe
Asia Pacific
Middle East and Africa
South America
COVID-19 Impact

Company Profile: Key players
Company Overview
Financial Overview
Global Presence
Capacity Portfolio
Business Strategy
Recent Development
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Key Offerings:

Past Market Size and Competitive Landscape (2022 to 2029)
Past Pricing and price curve by region (2022 to 2029)
Market Size, Share, Size and Forecast by different segment | 2022-2029
Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by region
Market Segmentation - A detailed analysis by growth and trend
Competitive Landscape - Profiles of selected key players by region from a strategic perspective
Competitive landscape - Market Leaders, Market Followers, Regional player
Competitive benchmarking of key players by region
PESTLE Analysis
PORTER's analysis
Value chain and supply chain analysis
Legal Aspects of business by region
Lucrative business opportunities with SWOT analysis
Recommendations

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