Artificial Intelligence in Supply Chain Market: Revolutionizing Logistics and Operations with AI Integration

Artificial Intelligence in Supply Chain Market

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 Overview:

The recently published “Artificial Intelligence in Supply Chain Market” Report by Maximize Market Research is available in the market. Maximize Market research is an international business consultancy firm, serving large and medium size players across the world. It has got clients in more than 34 countries. The impact of the market is normal after the Covid Lockdown has been analyzed in the report and the market is showing an upward trend even in the midst of an economic slowdown.

Artificial Intelligence in Supply Chain Market Scope :

Market experts estimate that the Artificial Intelligence in Supply Chain market will grow steadily from 2023 to 2029. Leading industry players are expected to continue to make aggressive moves to rapidly build the sector through 2023. The Artificial Intelligence in Supply Chain market analysis report covers import and export consumption, supply and demand chain, costs, shares, sales volumes, revenues, and gross profits. The report also examines the manufacturing bases, capacity, production, factory prices, revenues, and market share of each manufacturer in the Artificial Intelligence in Supply Chain market.

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Segmentation Analysis:

by Offering


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 terms of market share, the machine learning segment led in 2022. 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. Computer vision technologies are being used more and more in supply chain operations across a range of industrial sectors. The availability of automation and growing awareness of AI’s advantages are driving the segment’s growth.

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 category had the biggest 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

Food and Beverages
Consumer-Packaged Goods

Major Players are:

  1. Intel Corporation
    2., Inc.
    3. Google LLC
    4. Microsoft Corporation
    5. Nvidia Corporation
    6. Oracle Corporation
    7. IBM Corporation
    8. Samsung (South Korea)
    9. Lamasoft Inc.
    11.General Electric
    12.Deutsche Post AG DHL
    14.Micron Technology, Inc.
    17.C.H. Robinson
    19.Relex Solution
    21.Cainiao Network
    22.Splice Machine
    24.LLamasoft Inc.
    25.Micron Technology

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Regional Analysis

The European region, North American region, Asia-Pacific region, the Middle East and Africa region, and Latin America are the five primary world regions included in the report. The Artificial Intelligence in Supply Chain Industry Research identifies the market’s key geographies, as well as notable segments and sub-segments. The Artificial Intelligence in Supply Chain market report includes figures, geographies, revenue, and in-depth analysis of the business chain structure, opportunities, and industry news of the Artificial Intelligence in Supply Chain market.

The following countries are researched in the report:

  • United States (USA)
  • Canada
  • Mexico
  • Germany
  • France
  • United Kingdom (UK)
  • Russia
  • Italy
  • China
  • Japan
  • South Korea
  • India
  • Southeast Asia
  • Australia
  • Brazil
  • Saudi Arabia

Key Questions answered in the Artificial Intelligence in Supply Chain Market Report are:

  • What is the expected Artificial Intelligence in Supply Chain market size by 2029?
  • What is the forecast period of the Artificial Intelligence in Supply Chain Market?
  • What are the Artificial Intelligence in Supply Chain market segments?
  • What is the competitive scenario of the Artificial Intelligence in Supply Chain market?
  • Which region held the largest market share in the Artificial Intelligence in Supply Chain Market?
  • What are the opportunities for the Artificial Intelligence in Supply Chain Market?
  • What are the restraining factors in the Artificial Intelligence in Supply Chain market?
  • Who are the key players of the Artificial Intelligence in Supply Chain market?

About Maximize Market Research:

Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include science and engineering, electronic components, industrial equipment, technology, and communication, cars, and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified industry estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.

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